From 9ca74db799e78cae1d16a5005ed613c3f369c83b Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Thu, 26 Feb 2026 19:22:47 +0100 Subject: [PATCH 001/127] refactor: migrate dependency management from requirements.txt to pyproject.toml and specify Python 3.13 --- .python-version | 1 + pyproject.toml | 13 ++++--------- requirements.txt | 6 ------ 3 files changed, 5 insertions(+), 15 deletions(-) create mode 100644 .python-version delete mode 100644 requirements.txt diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..24ee5b1 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.13 diff --git a/pyproject.toml b/pyproject.toml index 9392499..cdd7933 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,14 +1,9 @@ -[tool.poetry] +[project] name = "miacro" version = "0.1.0" description = "Community Intelligence Service" authors = ["MicroClub-USTHB"] -[tool.poetry.dependencies] -python = ">=3.9,<3.12" -fastapi = "*" -uvicorn = "*" -pydantic = "*" -psycopg2-binary = "*" -sqlalchemy = "*" -openai = "*" +readme = "README.md" +requires-python = ">=3.13" +dependencies = [] diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index a9d4675..0000000 --- a/requirements.txt +++ /dev/null @@ -1,6 +0,0 @@ -fastapi -uvicorn -pydantic -psycopg2-binary -sqlalchemy -openai From 2ea24d7dcb9e23317d4b01d2a684ed07b92f250b Mon Sep 17 00:00:00 2001 From: nisbenz Date: Thu, 26 Feb 2026 20:49:05 +0100 Subject: [PATCH 002/127] feat: add dynamic system prompt generation with core rules and org info. add a preview method in order to see the system prompt . --- .env.example | 4 +++- app/core/config.py | 10 ++++---- app/core/prompt_template.py | 46 +++++++++++++++++++++++++++++++++++++ 3 files changed, 54 insertions(+), 6 deletions(-) create mode 100644 app/core/prompt_template.py diff --git a/.env.example b/.env.example index 04e8f1d..8bcb18c 100644 --- a/.env.example +++ b/.env.example @@ -1,8 +1,10 @@ # mAIcro Configuration ORG_NAME="MicroClub-USTHB" ORG_DESCRIPTION="The first Algerian Scientific Club, founded in 1985." +# generic core rules +CORE_RULES='["1. be respectful","2. be professional"]' -# AI Providers +# AI Provider GEMINI_KEY="your-key-here" MODEL_NAME="xxx" diff --git a/app/core/config.py b/app/core/config.py index 8e4309f..307888f 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -1,5 +1,5 @@ from pydantic_settings import BaseSettings -from typing import Optional +from typing import List, Optional class Settings(BaseSettings): PROJECT_NAME: str = "mAIcro" @@ -9,11 +9,11 @@ class Settings(BaseSettings): # Organization Settings (Reusable for any club/org) ORG_NAME: str = "Community" ORG_DESCRIPTION: Optional[str] = "A generic organization using mAIcro" - + CORE_RULES: Optional[List[str]] = None # AI Settings - OPENAI_API_KEY: Optional[str] = None - MODEL_NAME: str = "gpt-4-turbo" - + GEMINI_KEY: Optional[str] = None + MODEL_NAME: str = "" + # Database DATABASE_URL: Optional[str] = None diff --git a/app/core/prompt_template.py b/app/core/prompt_template.py new file mode 100644 index 0000000..955e9d4 --- /dev/null +++ b/app/core/prompt_template.py @@ -0,0 +1,46 @@ + +from app.core.config import settings + +_BASE_TEMPLATE = """\ +You are the official AI assistant for {org_name}. + +About {org_name}: +{org_description} + +Your Core Rules — you must follow these at all times: +{core_rules} + +Always ground your answers in verified information about {org_name}. \ +If you don't know something, say so clearly rather than speculating.\ +""" + + +def build_system_prompt() -> str: + if settings.CORE_RULES: + rules_block = "\n".join( + f" {i + 1}. {rule}" for i, rule in enumerate(settings.CORE_RULES) + ) + else: + rules_block = "Be helpful, accurate, and professional." + + prompt = _BASE_TEMPLATE.format( + org_name=settings.ORG_NAME, + org_description=settings.ORG_DESCRIPTION or f"An organization using mAIcro.", + core_rules=rules_block, + ) + + return prompt + + +def preview_prompt() -> None: + prompt = build_system_prompt() + separator = "─" * 60 + print(f"\n{separator}") + print(" SYSTEM PROMPT PREVIEW") + print(separator) + print(prompt) + print(separator + "\n") + + +if __name__ == "__main__": + preview_prompt() From 886cffedce4e7acb0e1b29bdc8a9d3bc0319c29e Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 11:59:43 +0100 Subject: [PATCH 003/127] docs: update README to enhance project overview, goals, core concepts, and key features --- README.md | 159 ++++++++++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 137 insertions(+), 22 deletions(-) diff --git a/README.md b/README.md index cdd4199..b5f4df5 100644 --- a/README.md +++ b/README.md @@ -1,31 +1,146 @@ -# mAIcro: Community Intelligence Service +# mIAcro: Open Source AI Service -mAIcro is a reusable, open-source AI infrastructure designed for communities and organizations. It understands structured data, processes official announcements, and answers questions accurately by centralizing important information. +## Overview -## Vision +**mIAcro** is an open-source AI service designed to help organizations centralize information and answer questions based on their internal data. -- **Community-First**: Built for MicroClub-USTHB, but designed for everyone. -- **Reusable**: Adaptable to any organization with minimal config. -- **Intelligent**: Leveraging RAG (Retrieval-Augmented Generation) and Agentic features. +It is not a simple chatbot or a Discord bot. +Instead, **mIAcro acts as an AI-powered knowledge service** that understands structured information and uses it to provide accurate answers to users. -## Tech Stack +The system can process organizational data such as announcements, documentation, and structured datasets, then make that information easily accessible through natural language queries. -- **Backend**: FastAPI -- **AI**: Gemini / LangChain -- **Database**: ChromaDB -- **Environment Management**: Poetry +While the first deployment of mIAcro is within **Micro Club**, the system itself is designed as **reusable infrastructure** that can be adapted to any community or organization. -## Project Structure +# Goals -- `app/api/`: API endpoints. -- `app/core/`: Configuration and settings. -- `app/services/ai/`: Core AI logic. -- `app/services/knowledge/`: Knowledge base management. -- `app/services/ingestors/`: Data processing logic. +The main goals of **mIAcro** are: -## Getting Started +* Centralize important information in one accessible system +* Allow members to query information using natural language +* Reduce repetitive questions asked to staff or moderators +* Provide reliable answers based on official sources +* Create reusable AI infrastructure for communities -1. Clone the repository. -2. Copy `.env.example` to `.env` and fill in your keys. -3. Install dependencies: `poetry install`. -4. Run the app: `uvicorn app.main:app --reload`. +--- + +# Core Concept + +At its core, **mIAcro works as an AI service that understands provided data and answers questions based on it**. + +Instead of relying on generic internet knowledge, the system operates on **specific datasets provided by the organization**. + +These datasets may include: + +* Official announcements +* Event information +* Internal documentation +* FAQs +* Structured data about activities or members + +The AI processes this information and uses it to respond to user queries. + +--- + +# Key Features + +## Structured Data Understanding + +mIAcro is designed to ingest and understand structured sources of information. +This allows it to reason about internal data rather than relying solely on general AI knowledge. + +--- + +## Question Answering + +Members can ask questions in natural language and receive answers derived directly from the organization's data. + +Example questions: + +* When is the next event? +* Where can I apply for the AI team? +* What are the rules for joining a workshop? + +--- + +## Information Centralization + +Organizations often have information scattered across multiple platforms: + +* Discord +* Google Docs +* Notion +* Spreadsheets +* Announcements + +mIAcro centralizes these sources into a **single AI-accessible knowledge system**. + +--- + +## Adaptable Architecture + +The system is designed so that it can be **adapted to different organizations** without rebuilding everything. + +Possible use cases include: + +* Student clubs +* Online communities +* Companies +* NGOs +* Developer communities + +--- + +# Open Source Philosophy + +mIAcro is released as an **open-source project**. + +This means: + +* Anyone can use the system +* Anyone can adapt it for their own community +* Anyone can contribute improvements + +The goal is to build **shared AI infrastructure** that communities can deploy easily. + +--- + +# First Deployment: Micro Club + +The first deployment of mIAcro is within **Micro Club**. + +In this environment, the system will: + +* process official club announcements +* answer questions from members +* provide information about events, teams, and opportunities + +However, **Micro Club is only the first use case**. +The architecture is designed to be reused by other communities. + +--- + +# Future Extensions + +mIAcro can evolve beyond a question-answering service. + +Possible future features include: + +### Agentic AI Features + +The system may incorporate AI agents capable of: + +* automating workflows +* summarizing announcements +* notifying members about relevant events +* managing knowledge updates + +--- + +### Multi-Platform Integration + +Future integrations may include: + +* Discord +* Web dashboards +* APIs for other tools +* Knowledge management platforms From 17da92eb55aa1033a4904c5e766d66583f6b9a84 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 12:01:21 +0100 Subject: [PATCH 004/127] fix: correct spelling of 'mAIcro' in README Dockerfile, docker-compose.yml, and pyproject.toml --- README.md | 22 +++++++++++----------- docker/Dockerfile | 2 +- docker/docker-compose.yml | 2 +- pyproject.toml | 2 +- 4 files changed, 14 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index b5f4df5..7934fff 100644 --- a/README.md +++ b/README.md @@ -1,19 +1,19 @@ -# mIAcro: Open Source AI Service +# mAIcro: Open Source AI Service ## Overview -**mIAcro** is an open-source AI service designed to help organizations centralize information and answer questions based on their internal data. +**mAIcro** is an open-source AI service designed to help organizations centralize information and answer questions based on their internal data. It is not a simple chatbot or a Discord bot. -Instead, **mIAcro acts as an AI-powered knowledge service** that understands structured information and uses it to provide accurate answers to users. +Instead, **mAIcro acts as an AI-powered knowledge service** that understands structured information and uses it to provide accurate answers to users. The system can process organizational data such as announcements, documentation, and structured datasets, then make that information easily accessible through natural language queries. -While the first deployment of mIAcro is within **Micro Club**, the system itself is designed as **reusable infrastructure** that can be adapted to any community or organization. +While the first deployment of mAIcro is within **Micro Club**, the system itself is designed as **reusable infrastructure** that can be adapted to any community or organization. # Goals -The main goals of **mIAcro** are: +The main goals of **mAIcro** are: * Centralize important information in one accessible system * Allow members to query information using natural language @@ -25,7 +25,7 @@ The main goals of **mIAcro** are: # Core Concept -At its core, **mIAcro works as an AI service that understands provided data and answers questions based on it**. +At its core, **mAIcro works as an AI service that understands provided data and answers questions based on it**. Instead of relying on generic internet knowledge, the system operates on **specific datasets provided by the organization**. @@ -45,7 +45,7 @@ The AI processes this information and uses it to respond to user queries. ## Structured Data Understanding -mIAcro is designed to ingest and understand structured sources of information. +mAIcro is designed to ingest and understand structured sources of information. This allows it to reason about internal data rather than relying solely on general AI knowledge. --- @@ -72,7 +72,7 @@ Organizations often have information scattered across multiple platforms: * Spreadsheets * Announcements -mIAcro centralizes these sources into a **single AI-accessible knowledge system**. +mAIcro centralizes these sources into a **single AI-accessible knowledge system**. --- @@ -92,7 +92,7 @@ Possible use cases include: # Open Source Philosophy -mIAcro is released as an **open-source project**. +mAIcro is released as an **open-source project**. This means: @@ -106,7 +106,7 @@ The goal is to build **shared AI infrastructure** that communities can deploy ea # First Deployment: Micro Club -The first deployment of mIAcro is within **Micro Club**. +The first deployment of mAIcro is within **Micro Club**. In this environment, the system will: @@ -121,7 +121,7 @@ The architecture is designed to be reused by other communities. # Future Extensions -mIAcro can evolve beyond a question-answering service. +mAIcro can evolve beyond a question-answering service. Possible future features include: diff --git a/docker/Dockerfile b/docker/Dockerfile index 0cbf3d5..d89c13c 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -1,4 +1,4 @@ -# Dockerfile for mIAcro +# Dockerfile for mAIcro FROM python:3.10-slim WORKDIR /app COPY requirements.txt ./ diff --git a/docker/docker-compose.yml b/docker/docker-compose.yml index 8e5c827..4253262 100644 --- a/docker/docker-compose.yml +++ b/docker/docker-compose.yml @@ -1,6 +1,6 @@ version: "3.8" services: - miacro: + maicro: build: . env_file: - ../.env.example diff --git a/pyproject.toml b/pyproject.toml index cdd7933..fb69121 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,5 +1,5 @@ [project] -name = "miacro" +name = "maicro" version = "0.1.0" description = "Community Intelligence Service" authors = ["MicroClub-USTHB"] From 9f541d1d37342feabcb43d83cfb2e5feed98a42a Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 12:10:07 +0100 Subject: [PATCH 005/127] Refactor code structure 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upload-time = "2025-09-14T22:18:19.088Z" }, +] From f78fb3b1b5e2317f46b3f631517a8c194c075f44 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 12:13:09 +0100 Subject: [PATCH 006/127] Refactor code structure for improved readability and maintainability --- app/core/config.py | 10 +- app/core/llm_provider.py | 18 +- app/core/vector_store.py | 17 +- ask.py | 55 ++ ingest.py | 38 ++ pyproject.toml | 2 + requirements.txt | 1122 ++++++++++++++++++++++++++++++++++++++ uv.lock | 104 ++++ 8 files changed, 1356 insertions(+), 10 deletions(-) create mode 100644 ask.py create mode 100644 ingest.py create mode 100644 requirements.txt diff --git a/app/core/config.py b/app/core/config.py index 307888f..252f578 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -11,11 +11,13 @@ class Settings(BaseSettings): ORG_DESCRIPTION: Optional[str] = "A generic organization using mAIcro" CORE_RULES: Optional[List[str]] = None # AI Settings - GEMINI_KEY: Optional[str] = None - MODEL_NAME: str = "" + GOOGLE_API_KEY: Optional[str] = None + MODEL_NAME: str = "gemini-1.5-flash" - # Database - DATABASE_URL: Optional[str] = None + # Vector Store + QDRANT_URL: str = "http://localhost:6333" + QDRANT_API_KEY: Optional[str] = None + COLLECTION_NAME: str = "maicro_knowledge" class Config: case_sensitive = True diff --git a/app/core/llm_provider.py b/app/core/llm_provider.py index d42ec08..4871178 100644 --- a/app/core/llm_provider.py +++ b/app/core/llm_provider.py @@ -1,4 +1,16 @@ -# llm_provider.py -# LLM provider abstraction (OpenAI, local, etc.) +from langchain_google_genai import ChatGoogleGenerativeAI, GoogleGenerativeAIEmbeddings +from app.core.config import settings + +def get_llm(): + return ChatGoogleGenerativeAI( + model=settings.MODEL_NAME, + google_api_key=settings.GOOGLE_API_KEY, + temperature=0 + ) + +def get_embeddings(): + return GoogleGenerativeAIEmbeddings( + model="models/embedding-001", + google_api_key=settings.GOOGLE_API_KEY + ) -# ...implementation placeholder... diff --git a/app/core/vector_store.py b/app/core/vector_store.py index 985d670..3396acf 100644 --- a/app/core/vector_store.py +++ b/app/core/vector_store.py @@ -1,4 +1,15 @@ -# vector_store.py -# Vector DB interface (semantic search) +from langchain_qdrant import QdrantVectorStore +from qdrant_client import QdrantClient +from app.core.config import settings +from app.core.llm_provider import get_embeddings + +def get_vector_store(): + # Use local path for persistent storage instead of URL to avoid needing a server for MVP + path = "local_qdrant" + + return QdrantVectorStore.from_existing_collection( + collection_name=settings.COLLECTION_NAME, + embedding=get_embeddings(), + path=path + ) -# ...implementation placeholder... diff --git a/ask.py b/ask.py new file mode 100644 index 0000000..f0e09a2 --- /dev/null +++ b/ask.py @@ -0,0 +1,55 @@ +import sys +from app.core.vector_store import get_vector_store +from app.core.llm_provider import get_llm +from langchain.chains import RetrievalQA +from langchain.prompts import PromptTemplate +from app.core.config import settings + +def ask_question(question: str): + llm = get_llm() + vector_store = get_vector_store() + + # Simple RAG chain + prompt_template = """ + You are mAIcro, an AI assistant for {org_name}. + Answer the user question based ONLY on the provided context. + If the context doesn't contain the answer, say "I don't have this information yet." + + Context: + {context} + + Question: {question} + + Answer:""" + + PROMPT = PromptTemplate( + template=prompt_template, + input_variables=["context", "question"], + partial_variables={"org_name": settings.ORG_NAME} + ) + + # Use as retriever + retriever = vector_store.as_retriever(search_kwargs={"k": 3}) + + qa = RetrievalQA.from_chain_type( + llm=llm, + chain_type="stuff", + retriever=retriever, + chain_type_kwargs={"prompt": PROMPT} + ) + + response = qa.invoke(question) + return response["result"] + +if __name__ == "__main__": + if len(sys.argv) > 1: + question = " ".join(sys.argv[1:]) + else: + question = input("Ask mAIcro: ") + + if not settings.GOOGLE_API_KEY: + print("Error: GOOGLE_API_KEY not found in .env. Please set it to run.") + sys.exit(1) + + answer = ask_question(question) + print(f"\nAnswer: {answer}") diff --git a/ingest.py b/ingest.py new file mode 100644 index 0000000..83e14f4 --- /dev/null +++ b/ingest.py @@ -0,0 +1,38 @@ +import json +import os +from langchain_core.documents import Document +from qdrant_client import QdrantClient +from langchain_qdrant import QdrantVectorStore +from app.core.llm_provider import get_embeddings +from app.core.config import settings + +def ingest_data(file_path: str): + if not os.path.exists(file_path): + print(f"Error: {file_path} not found.") + return + + with open(file_path, "r") as f: + data = json.load(f) + + documents = [] + for item in data: + content = f"{item['title']}\n{item['content']}" + metadata = {"date": item.get("date", ""), "title": item["title"]} + documents.append(Document(page_content=content, metadata=metadata)) + + print(f"Ingesting {len(documents)} documents into Qdrant (local mode)...") + + # Simple direct ingestion using the class method + QdrantVectorStore.from_documents( + documents=documents, + embedding=get_embeddings(), + path="local_qdrant", + collection_name=settings.COLLECTION_NAME, + ) + print("Ingestion complete!") + +if __name__ == "__main__": + if not settings.GOOGLE_API_KEY: + print("Error: GOOGLE_API_KEY not found in .env. Please set it to run.") + os._exit(1) + ingest_data("data/announcements.json") diff --git a/pyproject.toml b/pyproject.toml index 5c3c4e6..36ff26d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,9 @@ authors = ["MicroClub-USTHB"] readme = "README.md" requires-python = ">=3.13" dependencies = [ + "langchain>=1.2.10", "langchain-community>=0.4.1", + "langchain-core>=1.2.17", "langchain-google-genai>=4.2.1", "langchain-qdrant>=1.1.0", "pydantic-settings>=2.13.1", diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..67b028d --- /dev/null +++ b/requirements.txt @@ -0,0 +1,1122 @@ +# This file was autogenerated by uv via the following command: +# uv export --format requirements.txt +aiohappyeyeballs==2.6.1 \ + --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ + --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 + # via aiohttp +aiohttp==3.13.3 \ + --hash=sha256:042e9e0bcb5fba81886c8b4fbb9a09d6b8a00245fd8d88e4d989c1f96c74164c \ + --hash=sha256:05861afbbec40650d8a07ea324367cb93e9e8cc7762e04dd4405df99fa65159c \ + --hash=sha256:0add0900ff220d1d5c5ebbf99ed88b0c1bbf87aa7e4262300ed1376a6b13414f \ + --hash=sha256:10b47b7ba335d2e9b1239fa571131a87e2d8ec96b333e68b2a305e7a98b0bae2 \ + --hash=sha256:1449ceddcdbcf2e0446957863af03ebaaa03f94c090f945411b61269e2cb5daf \ + --hash=sha256:2712039939ec963c237286113c68dbad80a82a4281543f3abf766d9d73228998 \ + --hash=sha256:2e41b18a58da1e474a057b3d35248d8320029f61d70a37629535b16a0c8f3767 \ + --hash=sha256:2eb752b102b12a76ca02dff751a801f028b4ffbbc478840b473597fc91a9ed43 \ + --hash=sha256:2fc82186fadc4a8316768d61f3722c230e2c1dcab4200d52d2ebdf2482e47592 \ + --hash=sha256:2fff83cfc93f18f215896e3a190e8e5cb413ce01553901aca925176e7568963a \ + --hash=sha256:34749271508078b261c4abb1767d42b8d0c0cc9449c73a4df494777dc55f0687 \ + --hash=sha256:34bac00a67a812570d4a460447e1e9e06fae622946955f939051e7cc895cfab8 \ + --hash=sha256:37239e9f9a7ea9ac5bf6b92b0260b01f8a22281996da609206a84df860bc1261 \ + --hash=sha256:3d9908a48eb7416dc1f4524e69f1d32e5d90e3981e4e37eb0aa1cd18f9cfa2a4 \ + --hash=sha256:3dd4dce1c718e38081c8f35f323209d4c1df7d4db4bab1b5c88a6b4d12b74587 \ + --hash=sha256:4021b51936308aeea0367b8f006dc999ca02bc118a0cc78c303f50a2ff6afb91 \ + --hash=sha256:425c126c0dc43861e22cb1c14ba4c8e45d09516d0a3ae0a3f7494b79f5f233a3 \ + --hash=sha256:44531a36aa2264a1860089ffd4dce7baf875ee5a6079d5fb42e261c704ef7344 \ + --hash=sha256:48e377758516d262bde50c2584fc6c578af272559c409eecbdd2bae1601184d6 \ + --hash=sha256:49a03727c1bba9a97d3e93c9f93ca03a57300f484b6e935463099841261195d3 \ + --hash=sha256:568f416a4072fbfae453dcf9a99194bbb8bdeab718e08ee13dfa2ba0e4bebf29 \ + --hash=sha256:5dff64413671b0d3e7d5918ea490bdccb97a4ad29b3f311ed423200b2203e01c \ + --hash=sha256:5e1d8c8b8f1d91cd08d8f4a3c2b067bfca6ec043d3ff36de0f3a715feeedf926 \ + --hash=sha256:5f8ca7f2bb6ba8348a3614c7918cc4bb73268c5ac2a207576b7afea19d3d9f64 \ + --hash=sha256:693781c45a4033d31d4187d2436f5ac701e7bbfe5df40d917736108c1cc7436e \ + --hash=sha256:697753042d57f4bf7122cab985bf15d0cef23c770864580f5af4f52023a56bd6 \ + --hash=sha256:6de499a1a44e7de70735d0b39f67c8f25eb3d91eb3103be99ca0fa882cdd987d \ + --hash=sha256:6fc0e2337d1a4c3e6acafda6a78a39d4c14caea625124817420abceed36e2415 \ + --hash=sha256:7b5e8fe4de30df199155baaf64f2fcd604f4c678ed20910db8e2c66dc4b11603 \ + --hash=sha256:7bfdc049127717581866fa4708791220970ce291c23e28ccf3922c700740fdc0 \ + --hash=sha256:7f9120f7093c2a32d9647abcaf21e6ad275b4fbec5b55969f978b1a97c7c86bf \ + --hash=sha256:8057c98e0c8472d8846b9c79f56766bcc57e3e8ac7bfd510482332366c56c591 \ + --hash=sha256:82611aeec80eb144416956ec85b6ca45a64d76429c1ed46ae1b5f86c6e0c9a26 \ + --hash=sha256:8542f41a62bcc58fc7f11cf7c90e0ec324ce44950003feb70640fc2a9092c32a \ + --hash=sha256:87b9aab6d6ed88235aa2970294f496ff1a1f9adcd724d800e9b952395a80ffd9 \ + --hash=sha256:90455115e5da1c3c51ab619ac57f877da8fd6d73c05aacd125c5ae9819582aba \ + --hash=sha256:90751b8eed69435bac9ff4e3d2f6b3af1f57e37ecb0fbeee59c0174c9e2d41df \ + --hash=sha256:9bf9f7a65e7aa20dd764151fb3d616c81088f91f8df39c3893a536e279b4b984 \ + --hash=sha256:a19884d2ee70b06d9204b2727a7b9f983d0c684c650254679e716b0b77920632 \ + --hash=sha256:a1e53262fd202e4b40b70c3aff944a8155059beedc8a89bba9dc1f9ef06a1b56 \ + --hash=sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88 \ + --hash=sha256:add1da70de90a2569c5e15249ff76a631ccacfe198375eead4aadf3b8dc849dc \ + --hash=sha256:b0d95340658b9d2f11d9697f59b3814a9d3bb4b7a7c20b131df4bcef464037c0 \ + --hash=sha256:b556c85915d8efaed322bf1bdae9486aa0f3f764195a0fb6ee962e5c71ef5ce1 \ + --hash=sha256:b928f30fe49574253644b1ca44b1b8adbd903aa0da4b9054a6c20fc7f4092a25 \ + --hash=sha256:bbe7d4cecacb439e2e2a8a1a7b935c25b812af7a5fd26503a66dadf428e79ec1 \ + --hash=sha256:c685f2d80bb67ca8c3837823ad76196b3694b0159d232206d1e461d3d434666f \ + --hash=sha256:d60ac9663f44168038586cab2157e122e46bdef09e9368b37f2d82d354c23f72 \ + --hash=sha256:ea37047c6b367fd4bd632bff8077449b8fa034b69e812a18e0132a00fae6e808 \ + --hash=sha256:f76c1e3fe7d7c8afad7ed193f89a292e1999608170dcc9751a7462a87dfd5bc0 \ + --hash=sha256:fc290605db2a917f6e81b0e1e0796469871f5af381ce15c604a3c5c7e51cb730 \ + --hash=sha256:fc353029f176fd2b3ec6cfc71be166aba1936fe5d73dd1992ce289ca6647a9aa + # via langchain-community +aiosignal==1.4.0 \ + --hash=sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e \ + --hash=sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7 + # via aiohttp +annotated-types==0.7.0 \ + --hash=sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53 \ + --hash=sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89 + # via pydantic +anyio==4.12.1 \ + --hash=sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703 \ + --hash=sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c + # via + # google-genai + # httpx +attrs==25.4.0 \ + --hash=sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11 \ + --hash=sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373 + # via aiohttp +certifi==2026.2.25 \ + --hash=sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa \ + --hash=sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7 + # via + # httpcore + # httpx + # requests +cffi==2.0.0 ; platform_python_implementation != 'PyPy' \ + --hash=sha256:00bdf7acc5f795150faa6957054fbbca2439db2f775ce831222b66f192f03beb \ + --hash=sha256:07b271772c100085dd28b74fa0cd81c8fb1a3ba18b21e03d7c27f3436a10606b \ + --hash=sha256:087067fa8953339c723661eda6b54bc98c5625757ea62e95eb4898ad5e776e9f \ + --hash=sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9 \ + --hash=sha256:12873ca6cb9b0f0d3a0da705d6086fe911591737a59f28b7936bdfed27c0d47c \ + --hash=sha256:19f705ada2530c1167abacb171925dd886168931e0a7b78f5bffcae5c6b5be75 \ + --hash=sha256:1fc9ea04857caf665289b7a75923f2c6ed559b8298a1b8c49e59f7dd95c8481e \ + --hash=sha256:203a48d1fb583fc7d78a4c6655692963b860a417c0528492a6bc21f1aaefab25 \ + --hash=sha256:24b6f81f1983e6df8db3adc38562c83f7d4a0c36162885ec7f7b77c7dcbec97b \ + --hash=sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91 \ + --hash=sha256:28a3a209b96630bca57cce802da70c266eb08c6e97e5afd61a75611ee6c64592 \ + --hash=sha256:38100abb9d1b1435bc4cc340bb4489635dc2f0da7456590877030c9b3d40b0c1 \ + --hash=sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529 \ + --hash=sha256:45d5e886156860dc35862657e1494b9bae8dfa63bf56796f2fb56e1679fc0bca \ + --hash=sha256:6c6c373cfc5c83a975506110d17457138c8c63016b563cc9ed6e056a82f13ce4 \ + --hash=sha256:6d50360be4546678fc1b79ffe7a66265e28667840010348dd69a314145807a1b \ + --hash=sha256:737fe7d37e1a1bffe70bd5754ea763a62a066dc5913ca57e957824b72a85e205 \ + --hash=sha256:74a03b9698e198d47562765773b4a8309919089150a0bb17d829ad7b44b60d27 \ + --hash=sha256:7553fb2090d71822f02c629afe6042c299edf91ba1bf94951165613553984512 \ + --hash=sha256:7a66c7204d8869299919db4d5069a82f1561581af12b11b3c9f48c584eb8743d \ + --hash=sha256:7cc09976e8b56f8cebd752f7113ad07752461f48a58cbba644139015ac24954c \ + --hash=sha256:92b68146a71df78564e4ef48af17551a5ddd142e5190cdf2c5624d0c3ff5b2e8 \ + --hash=sha256:9a67fc9e8eb39039280526379fb3a70023d77caec1852002b4da7e8b270c4dd9 \ + --hash=sha256:afb8db5439b81cf9c9d0c80404b60c3cc9c3add93e114dcae767f1477cb53775 \ + --hash=sha256:b1e74d11748e7e98e2f426ab176d4ed720a64412b6a15054378afdb71e0f37dc \ + --hash=sha256:c654de545946e0db659b3400168c9ad31b5d29593291482c43e3564effbcee13 \ + --hash=sha256:c8d3b5532fc71b7a77c09192b4a5a200ea992702734a2e9279a37f2478236f26 \ + --hash=sha256:d48a880098c96020b02d5a1f7d9251308510ce8858940e6fa99ece33f610838b \ + --hash=sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6 \ + --hash=sha256:d9b29c1f0ae438d5ee9acb31cadee00a58c46cc9c0b2f9038c6b0b3470877a8c \ + --hash=sha256:d9b97165e8aed9272a6bb17c01e3cc5871a594a446ebedc996e2397a1c1ea8ef \ + --hash=sha256:dbd5c7a25a7cb98f5ca55d258b103a2054f859a46ae11aaf23134f9cc0d356ad \ + --hash=sha256:dd4f05f54a52fb558f1ba9f528228066954fee3ebe629fc1660d874d040ae5a3 \ + --hash=sha256:f93fd8e5c8c0a4aa1f424d6173f14a892044054871c771f8566e4008eaa359d2 \ + --hash=sha256:fc33c5141b55ed366cfaad382df24fe7dcbc686de5be719b207bb248e3053dc5 + # via cryptography +charset-normalizer==3.4.5 \ + --hash=sha256:01a1ed54b953303ca7e310fafe0fe347aab348bd81834a0bcd602eb538f89d66 \ + --hash=sha256:0625665e4ebdddb553ab185de5db7054393af8879fb0c87bd5690d14379d6819 \ + --hash=sha256:1088345bcc93c58d8d8f3d783eca4a6e7a7752bbff26c3eee7e73c597c191c2e \ + --hash=sha256:165c7b21d19365464e8f70e5ce5e12524c58b48c78c1f5a57524603c1ab003f8 \ + --hash=sha256:28269983f25a4da0425743d0d257a2d6921ea7d9b83599d4039486ec5b9f911d \ + --hash=sha256:2da4eedcb6338e2321e831a0165759c0c620e37f8cd044a263ff67493be8ffb3 \ + --hash=sha256:30a2b1a48478c3428d047ed9690d57c23038dac838a87ad624c85c0a78ebeb39 \ + --hash=sha256:4481e6da1830c8a1cc0b746b47f603b653dadb690bcd851d039ffaefe70533aa \ + --hash=sha256:4cd966c2559f501c6fd69294d082c2934c8dd4719deb32c22961a5ac6db0df1d \ + --hash=sha256:597d10dec876923e5c59e48dbd366e852eacb2b806029491d307daea6b917d7c \ + --hash=sha256:5cffde4032a197bd3b42fd0b9509ec60fb70918d6970e4cc773f20fc9180ca67 \ + --hash=sha256:65a126fb4b070d05340a84fc709dd9e7c75d9b063b610ece8a60197a291d0adf \ + --hash=sha256:8197abe5ca1ffb7d91e78360f915eef5addff270f8a71c1fc5be24a56f3e4873 \ + --hash=sha256:93b3b2cc5cf1b8743660ce77a4f45f3f6d1172068207c1defc779a36eea6bb36 \ + --hash=sha256:95adae7b6c42a6c5b5b559b1a99149f090a57128155daeea91732c8d970d8644 \ + --hash=sha256:97ab7787092eb9b50fb47fa04f24c75b768a606af1bcba1957f07f128a7219e4 \ + --hash=sha256:9db5e3fcdcee89a78c04dffb3fe33c79f77bd741a624946db2591c81b2fc85b0 \ + --hash=sha256:a2aecdb364b8a1802afdc7f9327d55dad5366bc97d8502d0f5854e50712dbc5f \ + --hash=sha256:a66aa5022bf81ab4b1bebfb009db4fd68e0c6d4307a1ce5ef6a26e5878dfc9e4 \ + --hash=sha256:ac59c15e3f1465f722607800c68713f9fbc2f672b9eb649fe831da4019ae9b23 \ + --hash=sha256:b2d37d78297b39a9eb9eb92c0f6df98c706467282055419df141389b23f93362 \ + --hash=sha256:c23eb3263356d94858655b3e63f85ac5d50970c6e8febcdde7830209139cc37d \ + --hash=sha256:c5af897b45fa606b12464ccbe0014bbf8c09191e0a66aab6aa9d5cf6e77e0c94 \ + --hash=sha256:c7a80a9242963416bd81f99349d5f3fce1843c303bd404f204918b6d75a75fd6 \ + --hash=sha256:d27ce22ec453564770d29d03a9506d449efbb9fa13c00842262b2f6801c48cce \ + --hash=sha256:d5e52d127045d6ae01a1e821acfad2f3a1866c54d0e837828538fabe8d9d1bd6 \ + --hash=sha256:d77f97e515688bd615c1d1f795d540f32542d514242067adcb8ef532504cb9ee \ + --hash=sha256:d8ed79b8f6372ca4254955005830fd61c1ccdd8c0fac6603e2c145c61dd95db6 \ + --hash=sha256:e37bd100d2c5d3ba35db9c7c5ba5a9228cbcffe5c4778dc824b164e5257813d7 \ + --hash=sha256:e51ae7d81c825761d941962450f50d041db028b7278e7b08930b4541b3e45cb9 \ + --hash=sha256:e6302ca4ae283deb0af68d2fbf467474b8b6aedcd3dab4db187e07f94c109763 \ + --hash=sha256:e71bbb595973622b817c042bd943c3f3667e9c9983ce3d205f973f486fec98a7 \ + --hash=sha256:ee57b926940ba00bca7ba7041e665cc956e55ef482f851b9b65acb20d867e7a2 \ + --hash=sha256:f1d725b754e967e648046f00c4facc42d414840f5ccc670c5670f59f83693e4f + # via requests +cryptography==46.0.5 \ + --hash=sha256:02f547fce831f5096c9a567fd41bc12ca8f11df260959ecc7c3202555cc47a72 \ + --hash=sha256:039917b0dc418bb9f6edce8a906572d69e74bd330b0b3fea4f79dab7f8ddd235 \ + --hash=sha256:1abfdb89b41c3be0365328a410baa9df3ff8a9110fb75e7b52e66803ddabc9a9 \ + --hash=sha256:351695ada9ea9618b3500b490ad54c739860883df6c1f555e088eaf25b1bbaad \ + --hash=sha256:38946c54b16c885c72c4f59846be9743d699eee2b69b6988e0a00a01f46a61a4 \ + --hash=sha256:3ce58ba46e1bc2aac4f7d9290223cead56743fa6ab94a5d53292ffaac6a91614 \ + --hash=sha256:3ee190460e2fbe447175cda91b88b84ae8322a104fc27766ad09428754a618ed \ + --hash=sha256:4108d4c09fbbf2789d0c926eb4152ae1760d5a2d97612b92d508d96c861e4d31 \ + --hash=sha256:420d0e909050490d04359e7fdb5ed7e667ca5c3c402b809ae2563d7e66a92229 \ + --hash=sha256:47fb8a66058b80e509c47118ef8a75d14c455e81ac369050f20ba0d23e77fee0 \ + --hash=sha256:4c3341037c136030cb46e4b1e17b7418ea4cbd9dd207e4a6f3b2b24e0d4ac731 \ + --hash=sha256:4d7e3d356b8cd4ea5aff04f129d5f66ebdc7b6f8eae802b93739ed520c47c79b \ + --hash=sha256:4d8ae8659ab18c65ced284993c2265910f6c9e650189d4e3f68445ef82a810e4 \ + --hash=sha256:4e817a8920bfbcff8940ecfd60f23d01836408242b30f1a708d93198393a80b4 \ + --hash=sha256:50bfb6925eff619c9c023b967d5b77a54e04256c4281b0e21336a130cd7fc263 \ + --hash=sha256:556e106ee01aa13484ce9b0239bca667be5004efb0aabbed28d353df86445595 \ + --hash=sha256:582f5fcd2afa31622f317f80426a027f30dc792e9c80ffee87b993200ea115f1 \ + --hash=sha256:5be7bf2fb40769e05739dd0046e7b26f9d4670badc7b032d6ce4db64dddc0678 \ + --hash=sha256:60ee7e19e95104d4c03871d7d7dfb3d22ef8a9b9c6778c94e1c8fcc8365afd48 \ + --hash=sha256:61aa400dce22cb001a98014f647dc21cda08f7915ceb95df0c9eaf84b4b6af76 \ + --hash=sha256:68f68d13f2e1cb95163fa3b4db4bf9a159a418f5f6e7242564fc75fcae667fd0 \ + --hash=sha256:7d1f30a86d2757199cb2d56e48cce14deddf1f9c95f1ef1b64ee91ea43fe2e18 \ + --hash=sha256:7d731d4b107030987fd61a7f8ab512b25b53cef8f233a97379ede116f30eb67d \ + --hash=sha256:803812e111e75d1aa73690d2facc295eaefd4439be1023fefc4995eaea2af90d \ + --hash=sha256:80a8d7bfdf38f87ca30a5391c0c9ce4ed2926918e017c29ddf643d0ed2778ea1 \ + --hash=sha256:8293f3dea7fc929ef7240796ba231413afa7b68ce38fd21da2995549f5961981 \ + --hash=sha256:890bcb4abd5a2d3f852196437129eb3667d62630333aacc13dfd470fad3aaa82 \ + --hash=sha256:94a76daa32eb78d61339aff7952ea819b1734b46f73646a07decb40e5b3448e2 \ + --hash=sha256:9f16fbdf4da055efb21c22d81b89f155f02ba420558db21288b3d0035bafd5f4 \ + --hash=sha256:a3d1fae9863299076f05cb8a778c467578262fae09f9dc0ee9b12eb4268ce663 \ + --hash=sha256:a3d507bb6a513ca96ba84443226af944b0f7f47dcc9a399d110cd6146481d24c \ + --hash=sha256:abace499247268e3757271b2f1e244b36b06f8515cf27c4d49468fc9eb16e93d \ + --hash=sha256:ba2a27ff02f48193fc4daeadf8ad2590516fa3d0adeeb34336b96f7fa64c1e3a \ + --hash=sha256:bfd56bb4b37ed4f330b82402f6f435845a5f5648edf1ad497da51a8452d5d62d \ + --hash=sha256:c18ff11e86df2e28854939acde2d003f7984f721eba450b56a200ad90eeb0e6b \ + --hash=sha256:c3bcce8521d785d510b2aad26ae2c966092b7daa8f45dd8f44734a104dc0bc1a \ + --hash=sha256:c4143987a42a2397f2fc3b4d7e3a7d313fbe684f67ff443999e803dd75a76826 \ + --hash=sha256:c69fd885df7d089548a42d5ec05be26050ebcd2283d89b3d30676eb32ff87dee \ + --hash=sha256:ced80795227d70549a411a4ab66e8ce307899fad2220ce5ab2f296e687eacde9 \ + --hash=sha256:d66e421495fdb797610a08f43b05269e0a5ea7f5e652a89bfd5a7d3c1dee3648 \ + --hash=sha256:e9251e3be159d1020c4030bd2e5f84d6a43fe54b6c19c12f51cde9542a2817b2 \ + --hash=sha256:f145bba11b878005c496e93e257c1e88f154d278d2638e6450d17e0f31e558d2 \ + --hash=sha256:fe346b143ff9685e40192a4960938545c699054ba11d4f9029f94751e3f71d87 + # via google-auth +dataclasses-json==0.6.7 \ + --hash=sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a \ + --hash=sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0 + # via langchain-community +distro==1.9.0 \ + --hash=sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed \ + --hash=sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2 + # via google-genai +filetype==1.2.0 \ + --hash=sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb \ + --hash=sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25 + # via langchain-google-genai +frozenlist==1.8.0 \ + --hash=sha256:0325024fe97f94c41c08872db482cf8ac4800d80e79222c6b0b7b162d5b13686 \ + --hash=sha256:032efa2674356903cd0261c4317a561a6850f3ac864a63fc1583147fb05a79b0 \ + --hash=sha256:03ae967b4e297f58f8c774c7eabcce57fe3c2434817d4385c50661845a058121 \ + --hash=sha256:06be8f67f39c8b1dc671f5d83aaefd3358ae5cdcf8314552c57e7ed3e6475bdd \ + --hash=sha256:073f8bf8becba60aa931eb3bc420b217bb7d5b8f4750e6f8b3be7f3da85d38b7 \ + --hash=sha256:07cdca25a91a4386d2e76ad992916a85038a9b97561bf7a3fd12d5d9ce31870c \ + --hash=sha256:0c18a16eab41e82c295618a77502e17b195883241c563b00f0aa5106fc4eaa0d \ + --hash=sha256:0f96534f8bfebc1a394209427d0f8a63d343c9779cda6fc25e8e121b5fd8555b \ + --hash=sha256:102e6314ca4da683dca92e3b1355490fed5f313b768500084fbe6371fddfdb79 \ + --hash=sha256:119fb2a1bd47307e899c2fac7f28e85b9a543864df47aa7ec9d3c1b4545f096f \ + --hash=sha256:154e55ec0655291b5dd1b8731c637ecdb50975a2ae70c606d100750a540082f7 \ + --hash=sha256:168c0969a329b416119507ba30b9ea13688fafffac1b7822802537569a1cb0ef \ + --hash=sha256:21900c48ae04d13d416f0e1e0c4d81f7931f73a9dfa0b7a8746fb2fe7dd970ed \ + --hash=sha256:28bd570e8e189d7f7b001966435f9dac6718324b5be2990ac496cf1ea9ddb7fe \ + --hash=sha256:29548f9b5b5e3460ce7378144c3010363d8035cea44bc0bf02d57f5a685e084e \ + --hash=sha256:2c5dcbbc55383e5883246d11fd179782a9d07a986c40f49abe89ddf865913930 \ + --hash=sha256:2dc43a022e555de94c3b68a4ef0b11c4f747d12c024a520c7101709a2144fb37 \ + --hash=sha256:2f05983daecab868a31e1da44462873306d3cbfd76d1f0b5b69c473d21dbb128 \ + --hash=sha256:33139dc858c580ea50e7e60a1b0ea003efa1fd42e6ec7fdbad78fff65fad2fd2 \ + --hash=sha256:33f48f51a446114bc5d251fb2954ab0164d5be02ad3382abcbfe07e2531d650f \ + --hash=sha256:342c97bf697ac5480c0a7ec73cd700ecfa5a8a40ac923bd035484616efecc2df \ + --hash=sha256:39ecbc32f1390387d2aa4f5a995e465e9e2f79ba3adcac92d68e3e0afae6657c \ + --hash=sha256:3e0761f4d1a44f1d1a47996511752cf3dcec5bbdd9cc2b4fe595caf97754b7a0 \ + --hash=sha256:3ede829ed8d842f6cd48fc7081d7a41001a56f1f38603f9d49bf3020d59a31ad \ + --hash=sha256:3ef2d026f16a2b1866e1d86fc4e1291e1ed8a387b2c333809419a2f8b3a77b82 \ + --hash=sha256:4314debad13beb564b708b4a496020e5306c7333fa9a3ab90374169a20ffab30 \ + --hash=sha256:44389d135b3ff43ba8cc89ff7f51f5a0bb6b63d829c8300f79a2fe4fe61bcc62 \ + --hash=sha256:4970ece02dbc8c3a92fcc5228e36a3e933a01a999f7094ff7c23fbd2beeaa67c \ + --hash=sha256:4e0c11f2cc6717e0a741f84a527c52616140741cd812a50422f83dc31749fb52 \ + --hash=sha256:50066c3997d0091c411a66e710f4e11752251e6d2d73d70d8d5d4c76442a199d \ + --hash=sha256:517279f58009d0b1f2e7c1b130b377a349405da3f7621ed6bfae50b10adf20c1 \ + --hash=sha256:54b2077180eb7f83dd52c40b2750d0a9f175e06a42e3213ce047219de902717a \ + --hash=sha256:5500ef82073f599ac84d888e3a8c1f77ac831183244bfd7f11eaa0289fb30714 \ + --hash=sha256:581ef5194c48035a7de2aefc72ac6539823bb71508189e5de01d60c9dcd5fa65 \ + --hash=sha256:5c1c8e78426e59b3f8005e9b19f6ff46e5845895adbde20ece9218319eca6506 \ + --hash=sha256:5d63a068f978fc69421fb0e6eb91a9603187527c86b7cd3f534a5b77a592b888 \ + --hash=sha256:6da155091429aeba16851ecb10a9104a108bcd32f6c1642867eadaee401c1c41 \ + --hash=sha256:778a11b15673f6f1df23d9586f83c4846c471a8af693a22e066508b77d201ec8 \ + --hash=sha256:8009897cdef112072f93a0efdce29cd819e717fd2f649ee3016efd3cd885a7ed \ + --hash=sha256:878be833caa6a3821caf85eb39c5ba92d28e85df26d57afb06b35b2efd937231 \ + --hash=sha256:8b7b94a067d1c504ee0b16def57ad5738701e4ba10cec90529f13fa03c833496 \ + --hash=sha256:8d92f1a84bb12d9e56f818b3a746f3efba93c1b63c8387a73dde655e1e42282a \ + --hash=sha256:92db2bf818d5cc8d9c1f1fc56b897662e24ea5adb36ad1f1d82875bd64e03c24 \ + --hash=sha256:96153e77a591c8adc2ee805756c61f59fef4cf4073a9275ee86fe8cba41241f7 \ + --hash=sha256:97260ff46b207a82a7567b581ab4190bd4dfa09f4db8a8b49d1a958f6aa4940e \ + --hash=sha256:974b28cf63cc99dfb2188d8d222bc6843656188164848c4f679e63dae4b0708e \ + --hash=sha256:b2a095d45c5d46e5e79ba1e5b9cb787f541a8dee0433836cea4b96a2c439dcd8 \ + --hash=sha256:b3210649ee28062ea6099cfda39e147fa1bc039583c8ee4481cb7811e2448c51 \ + --hash=sha256:b4dec9482a65c54a5044486847b8a66bf10c9cb4926d42927ec4e8fd5db7fed8 \ + --hash=sha256:bac9c42ba2ac65ddc115d930c78d24ab8d4f465fd3fc473cdedfccadb9429806 \ + --hash=sha256:bf0a7e10b077bf5fb9380ad3ae8ce20ef919a6ad93b4552896419ac7e1d8e042 \ + --hash=sha256:cb89a7f2de3602cfed448095bab3f178399646ab7c61454315089787df07733a \ + --hash=sha256:cba69cb73723c3f329622e34bdbf5ce1f80c21c290ff04256cff1cd3c2036ed2 \ + --hash=sha256:cee686f1f4cadeb2136007ddedd0aaf928ab95216e7691c63e50a8ec066336d0 \ + --hash=sha256:cf253e0e1c3ceb4aaff6df637ce033ff6535fb8c70a764a8f46aafd3d6ab798e \ + --hash=sha256:d1eaff1d00c7751b7c6662e9c5ba6eb2c17a2306ba5e2a37f24ddf3cc953402b \ + --hash=sha256:d3bb933317c52d7ea5004a1c442eef86f426886fba134ef8cf4226ea6ee1821d \ + --hash=sha256:db1e72ede2d0d7ccb213f218df6a078a9c09a7de257c2fe8fcef16d5925230b1 \ + --hash=sha256:e25ac20a2ef37e91c1b39938b591457666a0fa835c7783c3a8f33ea42870db94 \ + --hash=sha256:eaa352d7047a31d87dafcacbabe89df0aa506abb5b1b85a2fb91bc3faa02d822 \ + --hash=sha256:eab8145831a0d56ec9c4139b6c3e594c7a83c2c8be25d5bcf2d86136a532287a \ + --hash=sha256:ec3cc8c5d4084591b4237c0a272cc4f50a5b03396a47d9caaf76f5d7b38a4f11 \ + --hash=sha256:eefdba20de0d938cec6a89bd4d70f346a03108a19b9df4248d3cf0d88f1b0f51 \ + --hash=sha256:f21f00a91358803399890ab167098c131ec2ddd5f8f5fd5fe9c9f2c6fcd91e40 \ + --hash=sha256:f6292f1de555ffcc675941d65fffffb0a5bcd992905015f85d0592201793e0e5 \ + --hash=sha256:fb30f9626572a76dfe4293c7194a09fb1fe93ba94c7d4f720dfae3b646b45027 + # via + # aiohttp + # aiosignal +google-auth==2.49.0 \ + --hash=sha256:9cc2d9259d3700d7a257681f81052db6737495a1a46b610597f4b8bafe5286ae \ + --hash=sha256:f893ef7307f19cf53700b7e2f61b5a6affe3aa0edf9943b13788920ab92d8d87 + # via google-genai +google-genai==1.66.0 \ + --hash=sha256:7f127a39cf695277104ce4091bb26e417c59bb46e952ff3699c3a982d9c474ee \ + --hash=sha256:ffc01647b65046bca6387320057aa51db0ad64bcc72c8e3e914062acfa5f7c49 + # via langchain-google-genai +greenlet==3.3.2 ; platform_machine == 'AMD64' or platform_machine == 'WIN32' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'ppc64le' or platform_machine == 'win32' or platform_machine == 'x86_64' \ + --hash=sha256:18cb1b7337bca281915b3c5d5ae19f4e76d35e1df80f4ad3c1a7be91fadf1082 \ + --hash=sha256:1a9172f5bf6bd88e6ba5a84e0a68afeac9dc7b6b412b245dd64f52d83c81e55b \ + --hash=sha256:1fb39a11ee2e4d94be9a76671482be9398560955c9e568550de0224e41104727 \ + --hash=sha256:20154044d9085151bc309e7689d6f7ba10027f8f5a8c0676ad398b951913d89e \ + --hash=sha256:2eaf067fc6d886931c7962e8c6bede15d2f01965560f3359b27c80bde2d151f2 \ + --hash=sha256:394ead29063ee3515b4e775216cb756b2e3b4a7e55ae8fd884f17fa579e6b327 \ + --hash=sha256:63d10328839d1973e5ba35e98cccbca71b232b14051fd957b6f8b6e8e80d0506 \ + --hash=sha256:64970c33a50551c7c50491671265d8954046cb6e8e2999aacdd60e439b70418a \ + --hash=sha256:8b466dff7a4ffda6ca975979bab80bdadde979e29fc947ac3be4451428d8b0e4 \ + --hash=sha256:8c4dd0f3997cf2512f7601563cc90dfb8957c0cff1e3a1b23991d4ea1776c492 \ + --hash=sha256:8d1658d7291f9859beed69a776c10822a0a799bc4bfe1bd4272bb60e62507dab \ + --hash=sha256:8e4ab3cfb02993c8cc248ea73d7dae6cec0253e9afa311c9b37e603ca9fad2ce \ + --hash=sha256:94ad81f0fd3c0c0681a018a976e5c2bd2ca2d9d94895f23e7bb1af4e8af4e2d5 \ + --hash=sha256:a7945dd0eab63ded0a48e4dcade82939783c172290a7903ebde9e184333ca124 \ + --hash=sha256:aa6ac98bdfd716a749b84d4034486863fd81c3abde9aa3cf8eff9127981a4ae4 \ + --hash=sha256:ab0c7e7901a00bc0a7284907273dc165b32e0d109a6713babd04471327ff7986 \ + --hash=sha256:b26b0f4428b871a751968285a1ac9648944cea09807177ac639b030bddebcea4 \ + --hash=sha256:b6997d360a4e6a4e936c0f9625b1c20416b8a0ea18a8e19cabbefc712e7397ab \ + --hash=sha256:b8bddc5b73c9720bea487b3bffdb1840fe4e3656fba3bd40aa1489e9f37877ff \ + --hash=sha256:c04c5e06ec3e022cbfe2cd4a846e1d4e50087444f875ff6d2c2ad8445495cf1a \ + --hash=sha256:c2e47408e8ce1c6f1ceea0dffcdf6ebb85cc09e55c7af407c99f1112016e45e9 \ + --hash=sha256:cd6f9e2bbd46321ba3bbb4c8a15794d32960e3b0ae2cc4d49a1a53d314805d71 \ + --hash=sha256:d248d8c23c67d2291ffd47af766e2a3aa9fa1c6703155c099feb11f526c63a92 \ + --hash=sha256:e26e72bec7ab387ac80caa7496e0f908ff954f31065b0ffc1f8ecb1338b11b54 + # via sqlalchemy +grpcio==1.78.0 \ + --hash=sha256:2045397e63a7a0ee7957c25f7dbb36ddc110e0cfb418403d110c0a7a68a844e9 \ + --hash=sha256:207db540302c884b8848036b80db352a832b99dfdf41db1eb554c2c2c7800f65 \ + --hash=sha256:271c73e6e5676afe4fc52907686670c7cea22ab2310b76a59b678403ed40d670 \ + --hash=sha256:2bf5e2e163b356978b23652c4818ce4759d40f4712ee9ec5a83c4be6f8c23a3a \ + --hash=sha256:35eb275bf1751d2ffbd8f57cdbc46058e857cf3971041521b78b7db94bdaf127 \ + --hash=sha256:3c586ac70e855c721bda8f548d38c3ca66ac791dc49b66a8281a1f99db85e452 \ + --hash=sha256:57bab6deef2f4f1ca76cc04565df38dc5713ae6c17de690721bdf30cb1e0545c \ + --hash=sha256:735e38e176a88ce41840c21bb49098ab66177c64c82426e24e0082500cc68af5 \ + --hash=sha256:7382b95189546f375c174f53a5fa873cef91c4b8005faa05cc5b3beea9c4f1c5 \ + --hash=sha256:748b6138585379c737adc08aeffd21222abbda1a86a0dca2a39682feb9196c20 \ + --hash=sha256:74be1268d1439eaaf552c698cdb11cd594f0c49295ae6bb72c34ee31abbe611b \ + --hash=sha256:8dfffba826efcf366b1e3ccc37e67afe676f290e13a3b48d31a46739f80a8724 \ + --hash=sha256:8f2ac84905d12918e4e55a16da17939eb63e433dc11b677267c35568aa63fc84 \ + --hash=sha256:a9f136fbafe7ccf4ac7e8e0c28b31066e810be52d6e344ef954a3a70234e1702 \ + --hash=sha256:b58f37edab4a3881bc6c9bca52670610e0c9ca14e2ea3cf9debf185b870457fb \ + --hash=sha256:be63c88b32e6c0f1429f1398ca5c09bc64b0d80950c8bb7807d7d7fb36fb84c7 \ + --hash=sha256:c41bc64626db62e72afec66b0c8a0da76491510015417c127bfc53b2fe6d7f7f \ + --hash=sha256:ce3a90455492bf8bfa38e56fbbe1dbd4f872a3d8eeaf7337dc3b1c8aa28c271b \ + --hash=sha256:dce09d6116df20a96acfdbf85e4866258c3758180e8c49845d6ba8248b6d0bbb \ + --hash=sha256:e87cbc002b6f440482b3519e36e1313eb5443e9e9e73d6a52d43bd2004fcfd8e \ + --hash=sha256:f2d4e43ee362adfc05994ed479334d5a451ab7bc3f3fee1b796b8ca66895acb4 + # via qdrant-client +h11==0.16.0 \ + --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ + --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 + # via httpcore +h2==4.3.0 \ + --hash=sha256:6c59efe4323fa18b47a632221a1888bd7fde6249819beda254aeca909f221bf1 \ + --hash=sha256:c438f029a25f7945c69e0ccf0fb951dc3f73a5f6412981daee861431b70e2bdd + # via httpx +hpack==4.1.0 \ + --hash=sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496 \ + --hash=sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca + # via h2 +httpcore==1.0.9 \ + --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ + --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8 + # via httpx +httpx==0.28.1 \ + --hash=sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc \ + --hash=sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad + # via + # google-genai + # langsmith + # qdrant-client +httpx-sse==0.4.3 \ + --hash=sha256:0ac1c9fe3c0afad2e0ebb25a934a59f4c7823b60792691f779fad2c5568830fc \ + --hash=sha256:9b1ed0127459a66014aec3c56bebd93da3c1bc8bb6618c8082039a44889a755d + # via langchain-community +hyperframe==6.1.0 \ + --hash=sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5 \ + --hash=sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08 + # via h2 +idna==3.11 \ + --hash=sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea \ + --hash=sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902 + # via + # anyio + # httpx + # requests + # yarl +jsonpatch==1.33 \ + --hash=sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade \ + --hash=sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c + # via langchain-core +jsonpointer==3.0.0 \ + --hash=sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942 \ + --hash=sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef + # via jsonpatch +langchain-classic==1.0.2 \ + --hash=sha256:ae3480f488d2cf778f75e59ce0316b336fe2bcd4f8828aeb1aef1e2f26987d7f \ + --hash=sha256:bbf686613d0051905794f2646ecb6a79fa398db399750a4af039107d93054335 + # via langchain-community +langchain-community==0.4.1 \ + --hash=sha256:2135abb2c7748a35c84613108f7ebf30f8505b18c3c18305ffaecfc7651f6c6a \ + --hash=sha256:f3b211832728ee89f169ddce8579b80a085222ddb4f4ed445a46e977d17b1e85 + # via maicro +langchain-core==1.2.17 \ + --hash=sha256:54aa267f3311e347fb2e50951fe08e53761cebfb999ab80e6748d70525bbe872 \ + --hash=sha256:bf6bd6ce503874e9c2da1669a69383e967c3de1ea808921d19a9a6bff1a9fbbe + # via + # langchain-classic + # langchain-community + # langchain-google-genai + # langchain-qdrant + # langchain-text-splitters +langchain-google-genai==4.2.1 \ + --hash=sha256:7f44487a0337535897e3bba9a1d6605d722629e034f757ffa8755af0aa85daa8 \ + --hash=sha256:a7735289cf94ca3a684d830e09196aac8f6e75e647e3a0a1c3c9dc534ceb985e + # via maicro +langchain-qdrant==1.1.0 \ + --hash=sha256:433236845736f973543ac6b7137f9d7fa511b7539373fbc6565c581d3ba59373 \ + --hash=sha256:546c5c9aa57f543dbcee07343f730c331e4ec2af2ec55b541010af08d872bf35 + # via maicro +langchain-text-splitters==1.1.1 \ + --hash=sha256:34861abe7c07d9e49d4dc852d0129e26b32738b60a74486853ec9b6d6a8e01d2 \ + --hash=sha256:5ed0d7bf314ba925041e7d7d17cd8b10f688300d5415fb26c29442f061e329dc + # via langchain-classic +langsmith==0.7.14 \ + --hash=sha256:754dcb474a3f3f83cfefbd9694b897bce2a1a0b412bf75e256f85a64206ddcb7 \ + --hash=sha256:95606314a8dea0ea1ff3650da4cf0433737b14c4c296579c6b770b43cb5e0b37 + # via + # langchain-classic + # langchain-community + # langchain-core +marshmallow==3.26.2 \ + --hash=sha256:013fa8a3c4c276c24d26d84ce934dc964e2aa794345a0f8c7e5a7191482c8a73 \ + --hash=sha256:bbe2adb5a03e6e3571b573f42527c6fe926e17467833660bebd11593ab8dfd57 + # via dataclasses-json +multidict==6.7.1 \ + --hash=sha256:03ede2a6ffbe8ef936b92cb4529f27f42be7f56afcdab5ab739cd5f27fb1cbf9 \ + --hash=sha256:0458c978acd8e6ea53c81eefaddbbee9c6c5e591f41b3f5e8e194780fe026581 \ + --hash=sha256:0b4c48648d7649c9335cf1927a8b87fa692de3dcb15faa676c6a6f1f1aabda43 \ + --hash=sha256:0e161ddf326db5577c3a4cc2d8648f81456e8a20d40415541587a71620d7a7d1 \ + --hash=sha256:12fad252f8b267cc75b66e8fc51b3079604e8d43a75428ffe193cd9e2195dfd6 \ + --hash=sha256:14525a5f61d7d0c94b368a42cff4c9a4e7ba2d52e2672a7b23d84dc86fb02b0c \ + --hash=sha256:17307b22c217b4cf05033dabefe68255a534d637c6c9b0cc8382718f87be4262 \ + --hash=sha256:1b99af4d9eec0b49927b4402bcbb58dea89d3e0db8806a4086117019939ad3dd \ + --hash=sha256:1d540e51b7e8e170174555edecddbd5538105443754539193e3e1061864d444d \ + --hash=sha256:1e3a8bb24342a8201d178c3b4984c26ba81a577c80d4d525727427460a50c22d \ + --hash=sha256:21f830fe223215dffd51f538e78c172ed7c7f60c9b96a2bf05c4848ad49921c3 \ + --hash=sha256:233b398c29d3f1b9676b4b6f75c518a06fcb2ea0b925119fb2c1bc35c05e1601 \ + --hash=sha256:253282d70d67885a15c8a7716f3a73edf2d635793ceda8173b9ecc21f2fb8292 \ + --hash=sha256:273d23f4b40f3dce4d6c8a821c741a86dec62cded82e1175ba3d99be128147ed \ + --hash=sha256:283ddac99f7ac25a4acadbf004cb5ae34480bbeb063520f70ce397b281859362 \ + --hash=sha256:2b41f5fed0ed563624f1c17630cb9941cf2309d4df00e494b551b5f3e3d67a23 \ + --hash=sha256:2bbd113e0d4af5db41d5ebfe9ccaff89de2120578164f86a5d17d5a576d1e5b2 \ + --hash=sha256:2e1425e2f99ec5bd36c15a01b690a1a2456209c5deed58f95469ffb46039ccbb \ + --hash=sha256:3ab8b9d8b75aef9df299595d5388b14530839f6422333357af1339443cff777d \ + --hash=sha256:3bd231490fa7217cc832528e1cd8752a96f0125ddd2b5749390f7c3ec8721b65 \ + --hash=sha256:401c5a650f3add2472d1d288c26deebc540f99e2fb83e9525007a74cd2116f1d \ + --hash=sha256:41f2952231456154ee479651491e94118229844dd7226541788be783be2b5108 \ + --hash=sha256:432feb25a1cb67fe82a9680b4d65fb542e4635cb3166cd9c01560651ad60f177 \ + --hash=sha256:4885cb0e817aef5d00a2e8451d4665c1808378dc27c2705f1bf4ef8505c0d2e5 \ + --hash=sha256:497394b3239fc6f0e13a78a3e1b61296e72bf1c5f94b4c4eb80b265c37a131cd \ + --hash=sha256:497bde6223c212ba11d462853cfa4f0ae6ef97465033e7dc9940cdb3ab5b48e5 \ + --hash=sha256:4cfb48c6ea66c83bcaaf7e4dfa7ec1b6bbcf751b7db85a328902796dfde4c060 \ + --hash=sha256:538cec1e18c067d0e6103aa9a74f9e832904c957adc260e61cd9d8cf0c3b3d37 \ + --hash=sha256:55d97cc6dae627efa6a6e548885712d4864b81110ac76fa4e534c03819fa4a56 \ + --hash=sha256:563fe25c678aaba333d5399408f5ec3c383ca5b663e7f774dd179a520b8144df \ + --hash=sha256:57b46b24b5d5ebcc978da4ec23a819a9402b4228b8a90d9c656422b4bdd8a963 \ + --hash=sha256:5a37ca18e360377cfda1d62f5f382ff41f2b8c4ccb329ed974cc2e1643440118 \ + --hash=sha256:5c4b9bfc148f5a91be9244d6264c53035c8a0dcd2f51f1c3c6e30e30ebaa1c84 \ + --hash=sha256:5e01429a929600e7dab7b166062d9bb54a5eed752384c7384c968c2afab8f50f \ + --hash=sha256:5fa6a95dfee63893d80a34758cd0e0c118a30b8dcb46372bf75106c591b77889 \ + --hash=sha256:6aac4f16b472d5b7dc6f66a0d49dd57b0e0902090be16594dc9ebfd3d17c47e7 \ + --hash=sha256:6b10359683bd8806a200fd2909e7c8ca3a7b24ec1d8132e483d58e791d881048 \ + --hash=sha256:7a7e590ff876a3eaf1c02a4dfe0724b6e69a9e9de6d8f556816f29c496046e59 \ + --hash=sha256:7eee46ccb30ff48a1e35bb818cc90846c6be2b68240e42a78599166722cea709 \ + --hash=sha256:841189848ba629c3552035a6a7f5bf3b02eb304e9fea7492ca220a8eda6b0e5c \ + --hash=sha256:84e61e3af5463c19b67ced91f6c634effb89ef8bfc5ca0267f954451ed4bb6a2 \ + --hash=sha256:8f333ec9c5eb1b7105e3b84b53141e66ca05a19a605368c55450b6ba208cb9ee \ + --hash=sha256:9004d8386d133b7e6135679424c91b0b854d2d164af6ea3f289f8f2761064609 \ + --hash=sha256:90efbcf47dbe33dcf643a1e400d67d59abeac5db07dc3f27d6bdeae497a2198c \ + --hash=sha256:935434b9853c7c112eee7ac891bc4cb86455aa631269ae35442cb316790c1445 \ + --hash=sha256:93b1818e4a6e0930454f0f2af7dfce69307ca03cdcfb3739bf4d91241967b6c1 \ + --hash=sha256:960c83bf01a95b12b08fd54324a4eb1d5b52c88932b5cba5d6e712bb3ed12eb5 \ + --hash=sha256:97231140a50f5d447d3164f994b86a0bed7cd016e2682f8650d6a9158e14fd31 \ + --hash=sha256:97891f3b1b3ffbded884e2916cacf3c6fc87b66bb0dde46f7357404750559f33 \ + --hash=sha256:98655c737850c064a65e006a3df7c997cd3b220be4ec8fe26215760b9697d4d7 \ + --hash=sha256:98bc624954ec4d2c7cb074b8eefc2b5d0ce7d482e410df446414355d158fe4ca \ + --hash=sha256:9d624335fd4fa1c08a53f8b4be7676ebde19cd092b3895c421045ca87895b429 \ + --hash=sha256:9f9af11306994335398293f9958071019e3ab95e9a707dc1383a35613f6abcb9 \ + --hash=sha256:a0543217a6a017692aa6ae5cc39adb75e587af0f3a82288b1492eb73dd6cc2a4 \ + --hash=sha256:a407f13c188f804c759fc6a9f88286a565c242a76b27626594c133b82883b5c2 \ + --hash=sha256:af959b9beeb66c822380f222f0e0a1889331597e81f1ded7f374f3ecb0fd6c52 \ + --hash=sha256:b26684587228afed0d50cf804cc71062cc9c1cdf55051c4c6345d372947b268c \ + --hash=sha256:b4938326284c4f1224178a560987b6cf8b4d38458b113d9b8c1db1a836e640a2 \ + --hash=sha256:c0abd12629b0af3cf590982c0b413b1e7395cd4ec026f30986818ab95bfaa94a \ + --hash=sha256:c76c4bec1538375dad9d452d246ca5368ad6e1c9039dadcf007ae59c70619ea1 \ + --hash=sha256:c9035dde0f916702850ef66460bc4239d89d08df4d02023a5926e7446724212c \ + --hash=sha256:ce1bbd7d780bb5a0da032e095c951f7014d6b0a205f8318308140f1a6aba159e \ + --hash=sha256:d54ecf9f301853f2c5e802da559604b3e95bb7a3b01a9c295c6ee591b9882de8 \ + --hash=sha256:df9f19c28adcb40b6aae30bbaa1478c389efd50c28d541d76760199fc1037c32 \ + --hash=sha256:e1c5988359516095535c4301af38d8a8838534158f649c05dd1050222321bcb3 \ + --hash=sha256:e628ef0e6859ffd8273c69412a2465c4be4a9517d07261b33334b5ec6f3c7489 \ + --hash=sha256:e82d14e3c948952a1a85503817e038cba5905a3352de76b9a465075d072fba23 \ + --hash=sha256:e954b24433c768ce78ab7929e84ccf3422e46deb45a4dc9f93438f8217fa2d34 \ + --hash=sha256:eb304767bca2bb92fb9c5bd33cedc95baee5bb5f6c88e63706533a1c06ad08c8 \ + --hash=sha256:ec6652a1bee61c53a3e5776b6049172c53b6aaba34f18c9ad04f82712bac623d \ + --hash=sha256:f33dc2a3abe9249ea5d8360f969ec7f4142e7ac45ee7014d8f8d5acddf178b7b \ + --hash=sha256:f5dd81c45b05518b9aa4da4aa74e1c93d715efa234fd3e8a179df611cc85e5f4 \ + --hash=sha256:f99fe611c312b3c1c0ace793f92464d8cd263cc3b26b5721950d977b006b6c4d \ + --hash=sha256:fa263a02f4f2dd2d11a7b1bb4362aa7cb1049f84a9235d31adf63f30143469a0 + # via + # aiohttp + # yarl +mypy-extensions==1.1.0 \ + --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \ + --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558 + # via typing-inspect +numpy==2.4.2 \ + --hash=sha256:00ab83c56211a1d7c07c25e3217ea6695e50a3e2f255053686b081dc0b091a82 \ + --hash=sha256:068cdb2d0d644cdb45670810894f6a0600797a69c05f1ac478e8d31670b8ee75 \ + --hash=sha256:0f01dcf33e73d80bd8dc0f20a71303abbafa26a19e23f6b68d1aa9990af90257 \ + --hash=sha256:0fece1d1f0a89c16b03442eae5c56dc0be0c7883b5d388e0c03f53019a4bfd71 \ + --hash=sha256:12e26134a0331d8dbd9351620f037ec470b7c75929cb8a1537f6bfe411152a1a \ + --hash=sha256:1f92f53998a17265194018d1cc321b2e96e900ca52d54c7c77837b71b9465181 \ + --hash=sha256:20abd069b9cda45874498b245c8015b18ace6de8546bf50dfa8cea1696ed06ef \ + --hash=sha256:25f2059807faea4b077a2b6837391b5d830864b3543627f381821c646f31a63c \ + --hash=sha256:2b8f157c8a6f20eb657e240f8985cc135598b2b46985c5bccbde7616dc9c6b1e \ + --hash=sha256:2fb882da679409066b4603579619341c6d6898fc83a8995199d5249f986e8e8f \ + --hash=sha256:444be170853f1f9d528428eceb55f12918e4fda5d8805480f36a002f1415e09b \ + --hash=sha256:52b913ec40ff7ae845687b0b34d8d93b60cb66dcee06996dd5c99f2fc9328657 \ + --hash=sha256:5633c0da313330fd20c484c78cdd3f9b175b55e1a766c4a174230c6b70ad8262 \ + --hash=sha256:5daf6f3914a733336dab21a05cdec343144600e964d2fcdabaac0c0269874b2a \ + --hash=sha256:5eea80d908b2c1f91486eb95b3fb6fab187e569ec9752ab7d9333d2e66bf2d6b \ + --hash=sha256:659a6107e31a83c4e33f763942275fd278b21d095094044eb35569e86a21ddae \ + --hash=sha256:66cb9422236317f9d44b67b4d18f44efe6e9c7f8794ac0462978513359461554 \ + --hash=sha256:6ed0be1ee58eef41231a5c943d7d1375f093142702d5723ca2eb07db9b934b05 \ + --hash=sha256:7cdde6de52fb6664b00b056341265441192d1291c130e99183ec0d4b110ff8b1 \ + --hash=sha256:7df2de1e4fba69a51c06c28f5a3de36731eb9639feb8e1cf7e4a7b0daf4cf622 \ + --hash=sha256:7f54844851cdb630ceb623dcec4db3240d1ac13d4990532446761baede94996a \ + --hash=sha256:8c50dd1fc8826f5b26a5ee4d77ca55d88a895f4e4819c7ecc2a9f5905047a443 \ + --hash=sha256:8e4549f8a3c6d13d55041925e912bfd834285ef1dd64d6bc7d542583355e2e98 \ + --hash=sha256:8e9afaeb0beff068b4d9cd20d322ba0ee1cecfb0b08db145e4ab4dd44a6b5110 \ + --hash=sha256:98f16a80e917003a12c0580f97b5f875853ebc33e2eaa4bccfc8201ac6869308 \ + --hash=sha256:9e4424677ce4b47fe73c8b5556d876571f7c6945d264201180db2dc34f676ab5 \ + --hash=sha256:aea4f66ff44dfddf8c2cffd66ba6538c5ec67d389285292fe428cb2c738c8aef \ + --hash=sha256:b21041e8cb6a1eb5312dd1d2f80a94d91efffb7a06b70597d44f1bd2dfc315ab \ + --hash=sha256:b2f0073ed0868db1dcd86e052d37279eef185b9c8db5bf61f30f46adac63c909 \ + --hash=sha256:bba37bc29d4d85761deed3954a1bc62be7cf462b9510b51d367b769a8c8df325 \ + --hash=sha256:bd3a7a9f5847d2fb8c2c6d1c862fa109c31a9abeca1a3c2bd5a64572955b2979 \ + --hash=sha256:c3cd545784805de05aafe1dde61752ea49a359ccba9760c1e5d1c88a93bbf2b7 \ + --hash=sha256:c7ac672d699bf36275c035e16b65539931347d68b70667d28984c9fb34e07fa7 \ + --hash=sha256:cda077c2e5b780200b6b3e09d0b42205a3d1c68f30c6dceb90401c13bff8fe74 \ + --hash=sha256:d0d9b7c93578baafcbc5f0b83eaf17b79d345c6f36917ba0c67f45226911d499 \ + --hash=sha256:d1240d50adff70c2a88217698ca844723068533f3f5c5fa6ee2e3220e3bdb000 \ + --hash=sha256:d30291931c915b2ab5717c2974bb95ee891a1cf22ebc16a8006bd59cd210d40a \ + --hash=sha256:d9f64d786b3b1dd742c946c42d15b07497ed14af1a1f3ce840cce27daa0ce913 \ + --hash=sha256:da6cad4e82cb893db4b69105c604d805e0c3ce11501a55b5e9f9083b47d2ffe8 \ + --hash=sha256:e98c97502435b53741540a5717a6749ac2ada901056c7db951d33e11c885cc7d \ + --hash=sha256:f74f0f7779cc7ae07d1810aab8ac6b1464c3eafb9e283a40da7309d5e6e48fbb \ + --hash=sha256:fcf92bee92742edd401ba41135185866f7026c502617f422eb432cfeca4fe236 \ + --hash=sha256:fd49860271d52127d61197bb50b64f58454e9f578cb4b2c001a6de8b1f50b0b1 + # via + # langchain-community + # qdrant-client +orjson==3.11.7 ; platform_python_implementation != 'PyPy' \ + --hash=sha256:1d98b30cc1313d52d4af17d9c3d307b08389752ec5f2e5febdfada70b0f8c733 \ + --hash=sha256:1eb80451a9c351a71dfaf5b7ccc13ad065405217726b59fdbeadbcc544f9d223 \ + --hash=sha256:23d6c20517a97a9daf1d48b580fcdc6f0516c6f4b5038823426033690b4d2650 \ + --hash=sha256:31c80ce534ac4ea3739c5ee751270646cbc46e45aea7576a38ffec040b4029a1 \ + --hash=sha256:390a1dce0c055ddf8adb6aa94a73b45a4a7d7177b5c584b8d1c1947f2ba60fb3 \ + --hash=sha256:3c4bc6c6ac52cdaa267552544c73e486fecbd710b7ac09bc024d5a78555a22f6 \ + --hash=sha256:4a2e9c5be347b937a2e0203866f12bba36082e89b402ddb9e927d5822e43088d \ + --hash=sha256:623ad1b9548ef63886319c16fa317848e465a21513b31a6ad7b57443c3e0dcf5 \ + --hash=sha256:652c6c3af76716f4a9c290371ba2e390ede06f6603edb277b481daf37f6f464e \ + --hash=sha256:6e776b998ac37c0396093d10290e60283f59cfe0fc3fccbd0ccc4bd04dd19892 \ + --hash=sha256:7477aa6a6ec6139c5cb1cc7b214643592169a5494d200397c7fc95d740d5fcf3 \ + --hash=sha256:800988273a014a0541483dc81021247d7eacb0c845a9d1a34a422bc718f41539 \ + --hash=sha256:814be4b49b228cfc0b3c565acf642dd7d13538f966e3ccde61f4f55be3e20785 \ + --hash=sha256:845c3e0d8ded9c9271cd79596b9b552448b885b97110f628fb687aee2eed11c1 \ + --hash=sha256:89e13dd3f89f1c38a9c9eba5fbf7cdc2d1feca82f5f290864b4b7a6aac704576 \ + --hash=sha256:8ff206156006da5b847c9304b6308a01e8cdbc8cce824e2779a5ba71c3def141 \ + --hash=sha256:962d046ee1765f74a1da723f4b33e3b228fe3a48bd307acce5021dfefe0e29b2 \ + --hash=sha256:996b65230271f1a97026fd0e6a753f51fbc0c335d2ad0c6201f711b0da32693b \ + --hash=sha256:9b1a67243945819ce55d24a30b59d6a168e86220452d2c96f4d1f093e71c0c49 \ + --hash=sha256:9e54f3808e2b6b945078c41aa8d9b5834b28c50843846e97807e5adb75fa9705 \ + --hash=sha256:a12b80df61aab7b98b490fe9e4879925ba666fccdfcd175252ce4d9035865ace \ + --hash=sha256:a56df3239294ea5964adf074c54bcc4f0ccd21636049a2cf3ca9cf03b5d03cf1 \ + --hash=sha256:ab49d4b2a6a1d415ddb9f37a21e02e0d5dbfe10b7870b21bf779fc21e9156157 \ + --hash=sha256:b9f95dcdea9d4f805daa9ddf02617a89e484c6985fa03055459f90e87d7a0757 \ + --hash=sha256:bd0d68edd7dfca1b2eca9361a44ac9f24b078de3481003159929a0573f21a6bf \ + --hash=sha256:bda117c4148e81f746655d5a3239ae9bd00cb7bc3ca178b5fc5a5997e9744183 \ + --hash=sha256:c2428d358d85e8da9d37cba18b8c4047c55222007a84f97156a5b22028dfbfc0 \ + --hash=sha256:d06e5c5fed5caedd2e540d62e5b1c25e8c82431b9e577c33537e5fa4aa909539 \ + --hash=sha256:d897e81f8d0cbd2abb82226d1860ad2e1ab3ff16d7b08c96ca00df9d45409ef4 \ + --hash=sha256:de0a37f21d0d364954ad5de1970491d7fbd0fb1ef7417d4d56a36dc01ba0c0a0 \ + --hash=sha256:f50979824bde13d32b4320eedd513431c921102796d86be3eee0b58e58a3ecd1 + # via langsmith +packaging==26.0 \ + --hash=sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4 \ + --hash=sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529 + # via + # langchain-core + # langsmith + # marshmallow +portalocker==3.2.0 \ + --hash=sha256:1f3002956a54a8c3730586c5c77bf18fae4149e07eaf1c29fc3faf4d5a3f89ac \ + --hash=sha256:3cdc5f565312224bc570c49337bd21428bba0ef363bbcf58b9ef4a9f11779968 + # via qdrant-client +propcache==0.4.1 \ + --hash=sha256:005f08e6a0529984491e37d8dbc3dd86f84bd78a8ceb5fa9a021f4c48d4984be \ + --hash=sha256:05674a162469f31358c30bcaa8883cb7829fa3110bf9c0991fe27d7896c42d85 \ + --hash=sha256:060b16ae65bc098da7f6d25bf359f1f31f688384858204fe5d652979e0015e5b \ + --hash=sha256:120c964da3fdc75e3731aa392527136d4ad35868cc556fd09bb6d09172d9a367 \ + --hash=sha256:17612831fda0138059cc5546f4d12a2aacfb9e47068c06af35c400ba58ba7393 \ + --hash=sha256:2ad890caa1d928c7c2965b48f3a3815c853180831d0e5503d35cf00c472f4717 \ + --hash=sha256:333ddb9031d2704a301ee3e506dc46b1fe5f294ec198ed6435ad5b6a085facfe \ + --hash=sha256:381914df18634f5494334d201e98245c0596067504b9372d8cf93f4bb23e025e \ + --hash=sha256:3f7124c9d820ba5548d431afb4632301acf965db49e666aa21c305cbe8c6de12 \ + --hash=sha256:41a89040cb10bd345b3c1a873b2bf36413d48da1def52f268a055f7398514874 \ + --hash=sha256:43eedf29202c08550aac1d14e0ee619b0430aaef78f85864c1a892294fbc28cf \ + --hash=sha256:473c61b39e1460d386479b9b2f337da492042447c9b685f28be4f74d3529e566 \ + --hash=sha256:49a2dc67c154db2c1463013594c458881a069fcf98940e61a0569016a583020a \ + --hash=sha256:4c3c70630930447f9ef1caac7728c8ad1c56bc5015338b20fed0d08ea2480b3a \ + --hash=sha256:4d3df5fa7e36b3225954fba85589da77a0fe6a53e3976de39caf04a0db4c36f1 \ + --hash=sha256:501d20b891688eb8e7aa903021f0b72d5a55db40ffaab27edefd1027caaafa61 \ + --hash=sha256:521a463429ef54143092c11a77e04056dd00636f72e8c45b70aaa3140d639726 \ + --hash=sha256:5558992a00dfd54ccbc64a32726a3357ec93825a418a401f5cc67df0ac5d9e49 \ + --hash=sha256:55c72fd6ea2da4c318e74ffdf93c4fe4e926051133657459131a95c846d16d44 \ + --hash=sha256:564d9f0d4d9509e1a870c920a89b2fec951b44bf5ba7d537a9e7c1ccec2c18af \ + --hash=sha256:580e97762b950f993ae618e167e7be9256b8353c2dcd8b99ec100eb50f5286aa \ + --hash=sha256:5a103c3eb905fcea0ab98be99c3a9a5ab2de60228aa5aceedc614c0281cf6153 \ + --hash=sha256:5c3310452e0d31390da9035c348633b43d7e7feb2e37be252be6da45abd1abcc \ + --hash=sha256:678ae89ebc632c5c204c794f8dab2837c5f159aeb59e6ed0539500400577298c \ + --hash=sha256:6f6ff873ed40292cd4969ef5310179afd5db59fdf055897e282485043fc80ad0 \ + --hash=sha256:6f8b465489f927b0df505cbe26ffbeed4d6d8a2bbc61ce90eb074ff129ef0ab1 \ + --hash=sha256:74c1fb26515153e482e00177a1ad654721bf9207da8a494a0c05e797ad27b992 \ + --hash=sha256:824e908bce90fb2743bd6b59db36eb4f45cd350a39637c9f73b1c1ea66f5b75f \ + --hash=sha256:8326e144341460402713f91df60ade3c999d601e7eb5ff8f6f7862d54de0610d \ + --hash=sha256:8873eb4460fd55333ea49b7d189749ecf6e55bf85080f11b1c4530ed3034cba1 \ + --hash=sha256:89eb3fa9524f7bec9de6e83cf3faed9d79bffa560672c118a96a171a6f55831e \ + --hash=sha256:8e57061305815dfc910a3634dcf584f08168a8836e6999983569f51a8544cd89 \ + --hash=sha256:929d7cbe1f01bb7baffb33dc14eb5691c95831450a26354cd210a8155170c93a \ + --hash=sha256:92d1935ee1f8d7442da9c0c4fa7ac20d07e94064184811b685f5c4fada64553b \ + --hash=sha256:990f6b3e2a27d683cb7602ed6c86f15ee6b43b1194736f9baaeb93d0016633b1 \ + --hash=sha256:9a0bd56e5b100aef69bd8562b74b46254e7c8812918d3baa700c8a8009b0af66 \ + --hash=sha256:9f302f4783709a78240ebc311b793f123328716a60911d667e0c036bc5dcbded \ + --hash=sha256:a78372c932c90ee474559c5ddfffd718238e8673c340dc21fe45c5b8b54559a0 \ + --hash=sha256:ab2943be7c652f09638800905ee1bab2c544e537edb57d527997a24c13dc1455 \ + --hash=sha256:ab4c29b49d560fe48b696cdcb127dd36e0bc2472548f3bf56cc5cb3da2b2984f \ + --hash=sha256:af223b406d6d000830c6f65f1e6431783fc3f713ba3e6cc8c024d5ee96170a4b \ + --hash=sha256:af2a6052aeb6cf17d3e46ee169099044fd8224cbaf75c76a2ef596e8163e2237 \ + --hash=sha256:bcc9aaa5d80322bc2fb24bb7accb4a30f81e90ab8d6ba187aec0744bc302ad81 \ + --hash=sha256:c07fda85708bc48578467e85099645167a955ba093be0a2dcba962195676e859 \ + --hash=sha256:c0d4b719b7da33599dfe3b22d3db1ef789210a0597bc650b7cee9c77c2be8c5c \ + --hash=sha256:c0ef0aaafc66fbd87842a3fe3902fd889825646bc21149eafe47be6072725835 \ + --hash=sha256:c2b5e7db5328427c57c8e8831abda175421b709672f6cfc3d630c3b7e2146393 \ + --hash=sha256:c80ee5802e3fb9ea37938e7eecc307fb984837091d5fd262bb37238b1ae97641 \ + --hash=sha256:c9b822a577f560fbd9554812526831712c1436d2c046cedee4c3796d3543b144 \ + --hash=sha256:cae65ad55793da34db5f54e4029b89d3b9b9490d8abe1b4c7ab5d4b8ec7ebf74 \ + --hash=sha256:d472aeb4fbf9865e0c6d622d7f4d54a4e101a89715d8904282bb5f9a2f476c3f \ + --hash=sha256:d62cdfcfd89ccb8de04e0eda998535c406bf5e060ffd56be6c586cbcc05b3311 \ + --hash=sha256:d8f353eb14ee3441ee844ade4277d560cdd68288838673273b978e3d6d2c8f36 \ + --hash=sha256:dee69d7015dc235f526fe80a9c90d65eb0039103fe565776250881731f06349f \ + --hash=sha256:e35b88984e7fa64aacecea39236cee32dd9bd8c55f57ba8a75cf2399553f9bd7 \ + --hash=sha256:ecef2343af4cc68e05131e45024ba34f6095821988a9d0a02aa7c73fcc448aa9 \ + --hash=sha256:ed5a841e8bb29a55fb8159ed526b26adc5bdd7e8bd7bf793ce647cb08656cdf4 \ + --hash=sha256:ee17f18d2498f2673e432faaa71698032b0127ebf23ae5974eeaf806c279df24 \ + --hash=sha256:f48107a8c637e80362555f37ecf49abe20370e557cc4ab374f04ec4423c97c3d \ + --hash=sha256:f7ee0e597f495cf415bcbd3da3caa3bd7e816b74d0d52b8145954c5e6fd3ff37 \ + --hash=sha256:f95393b4d66bfae908c3ca8d169d5f79cd65636ae15b5e7a4f6e67af675adb0e \ + --hash=sha256:fd0858c20f078a32cf55f7e81473d96dcf3b93fd2ccdb3d40fdf54b8573df3af + # via + # aiohttp + # yarl +protobuf==7.34.0 \ + --hash=sha256:3871a3df67c710aaf7bb8d214cc997342e63ceebd940c8c7fc65c9b3d697591a \ + --hash=sha256:4a72a8ec94e7a9f7ef7fe818ed26d073305f347f8b3b5ba31e22f81fd85fca02 \ + --hash=sha256:8e329966799f2c271d5e05e236459fe1cbfdb8755aaa3b0914fa60947ddea408 \ + --hash=sha256:964cf977e07f479c0697964e83deda72bcbc75c3badab506fb061b352d991b01 \ + --hash=sha256:9d7a5005fb96f3c1e64f397f91500b0eb371b28da81296ae73a6b08a5b76cdd6 \ + --hash=sha256:9f9079f1dde4e32342ecbd1c118d76367090d4aaa19da78230c38101c5b3dd40 \ + --hash=sha256:e3b914dd77fa33fa06ab2baa97937746ab25695f389869afdf03e81f34e45dc7 \ + --hash=sha256:f791ec509707a1d91bd02e07df157e75e4fb9fbdad12a81b7396201ec244e2e3 + # via qdrant-client +pyasn1==0.6.2 \ + --hash=sha256:1eb26d860996a18e9b6ed05e7aae0e9fc21619fcee6af91cca9bad4fbea224bf \ + --hash=sha256:9b59a2b25ba7e4f8197db7686c09fb33e658b98339fadb826e9512629017833b + # via + # pyasn1-modules + # rsa +pyasn1-modules==0.4.2 \ + --hash=sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a \ + --hash=sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6 + # via google-auth +pycparser==3.0 ; implementation_name != 'PyPy' and platform_python_implementation != 'PyPy' \ + --hash=sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29 \ + --hash=sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992 + # via cffi +pydantic==2.12.5 \ + --hash=sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49 \ + --hash=sha256:e561593fccf61e8a20fc46dfc2dfe075b8be7d0188df33f221ad1f0139180f9d + # via + # google-genai + # langchain-classic + # langchain-core + # langchain-google-genai + # langchain-qdrant + # langsmith + # pydantic-settings + # qdrant-client +pydantic-core==2.41.5 \ + --hash=sha256:0177272f88ab8312479336e1d777f6b124537d47f2123f89cb37e0accea97f90 \ + --hash=sha256:01a3d0ab748ee531f4ea6c3e48ad9dac84ddba4b0d82291f87248f2f9de8d740 \ + --hash=sha256:03ca43e12fab6023fc79d28ca6b39b05f794ad08ec2feccc59a339b02f2b3d33 \ + --hash=sha256:08daa51ea16ad373ffd5e7606252cc32f07bc72b28284b6bc9c6df804816476e \ + --hash=sha256:0cbaad15cb0c90aa221d43c00e77bb33c93e8d36e0bf74760cd00e732d10a6a0 \ + --hash=sha256:112e305c3314f40c93998e567879e887a3160bb8689ef3d2c04b6cc62c33ac34 \ + --hash=sha256:1d1d9764366c73f996edd17abb6d9d7649a7eb690006ab6adbda117717099b14 \ + --hash=sha256:22f0fb8c1c583a3b6f24df2470833b40207e907b90c928cc8d3594b76f874375 \ + --hash=sha256:239edca560d05757817c13dc17c50766136d21f7cd0fac50295499ae24f90fdf \ + --hash=sha256:25e1c2af0fce638d5f1988b686f3b3ea8cd7de5f244ca147c777769e798a9cd1 \ + --hash=sha256:2782c870e99878c634505236d81e5443092fba820f0373997ff75f90f68cd553 \ + --hash=sha256:2a5e06546e19f24c6a96a129142a75cee553cc018ffee48a460059b1185f4470 \ + --hash=sha256:2b761d210c9ea91feda40d25b4efe82a1707da2ef62901466a42492c028553a2 \ + --hash=sha256:2ff4321e56e879ee8d2a879501c8e469414d948f4aba74a2d4593184eb326660 \ + --hash=sha256:3006c3dd9ba34b0c094c544c6006cc79e87d8612999f1a5d43b769b89181f23c \ + --hash=sha256:35b44f37a3199f771c3eaa53051bc8a70cd7b54f333531c59e29fd4db5d15008 \ + --hash=sha256:3f37a19d7ebcdd20b96485056ba9e8b304e27d9904d233d7b1015db320e51f0a \ + --hash=sha256:3f84d5c1b4ab906093bdc1ff10484838aca54ef08de4afa9de0f5f14d69639cd \ + --hash=sha256:406bf18d345822d6c21366031003612b9c77b3e29ffdb0f612367352aab7d586 \ + --hash=sha256:4819fa52133c9aa3c387b3328f25c1facc356491e6135b459f1de698ff64d869 \ + --hash=sha256:506d766a8727beef16b7adaeb8ee6217c64fc813646b424d0804d67c16eddb66 \ + --hash=sha256:5cb1b2f9742240e4bb26b652a5aeb840aa4b417c7748b6f8387927bc6e45e40d \ + --hash=sha256:63510af5e38f8955b8ee5687740d6ebf7c2a0886d15a6d65c32814613681bc07 \ + --hash=sha256:650ae77860b45cfa6e2cdafc42618ceafab3a2d9a3811fcfbd3bbf8ac3c40d36 \ + --hash=sha256:6561e94ba9dacc9c61bce40e2d6bdc3bfaa0259d3ff36ace3b1e6901936d2e3e \ + --hash=sha256:72f6c8b11857a856bcfa48c86f5368439f74453563f951e473514579d44aa612 \ + --hash=sha256:79ec52ec461e99e13791ec6508c722742ad745571f234ea6255bed38c6480f11 \ + --hash=sha256:80aa89cad80b32a912a65332f64a4450ed00966111b6615ca6816153d3585a8c \ + --hash=sha256:8566def80554c3faa0e65ac30ab0932b9e3a5cd7f8323764303d468e5c37595a \ + --hash=sha256:8e7c86f27c585ef37c35e56a96363ab8de4e549a95512445b85c96d3e2f7c1bf \ + --hash=sha256:915c3d10f81bec3a74fbd4faebe8391013ba61e5a1a8d48c4455b923bdda7858 \ + --hash=sha256:941103c9be18ac8daf7b7adca8228f8ed6bb7a1849020f643b3a14d15b1924d9 \ + --hash=sha256:97aeba56665b4c3235a0e52b2c2f5ae9cd071b8a8310ad27bddb3f7fb30e9aa2 \ + --hash=sha256:a39455728aabd58ceabb03c90e12f71fd30fa69615760a075b9fec596456ccc3 \ + --hash=sha256:aec5cf2fd867b4ff45b9959f8b20ea3993fc93e63c7363fe6851424c8a7e7c23 \ + --hash=sha256:b4ececa40ac28afa90871c2cc2b9ffd2ff0bf749380fbdf57d165fd23da353aa \ + --hash=sha256:b80aa5095cd3109962a298ce14110ae16b8c1aece8b72f9dafe81cf597ad80b3 \ + --hash=sha256:b93590ae81f7010dbe380cdeab6f515902ebcbefe0b9327cc4804d74e93ae69d \ + --hash=sha256:bd3d54f38609ff308209bd43acea66061494157703364ae40c951f83ba99a1a9 \ + --hash=sha256:d0d2568a8c11bf8225044aa94409e21da0cb09dcdafe9ecd10250b2baad531a9 \ + --hash=sha256:dc799088c08fa04e43144b164feb0c13f9a0bc40503f8df3e9fde58a3c0c101e \ + --hash=sha256:e56ba91f47764cc14f1daacd723e3e82d1a89d783f0f5afe9c364b8bb491ccdb \ + --hash=sha256:e672ba74fbc2dc8eea59fb6d4aed6845e6905fc2a8afe93175d94a83ba2a01a0 + # via pydantic +pydantic-settings==2.13.1 \ + --hash=sha256:b4c11847b15237fb0171e1462bf540e294affb9b86db4d9aa5c01730bdbe4025 \ + --hash=sha256:d56fd801823dbeae7f0975e1f8c8e25c258eb75d278ea7abb5d9cebb01b56237 + # via + # langchain-community + # maicro +python-dotenv==1.2.2 \ + --hash=sha256:1d8214789a24de455a8b8bd8ae6fe3c6b69a5e3d64aa8a8e5d68e694bbcb285a \ + --hash=sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3 + # via + # maicro + # pydantic-settings +pywin32==311 ; sys_platform == 'win32' \ + --hash=sha256:3aca44c046bd2ed8c90de9cb8427f581c479e594e99b5c0bb19b29c10fd6cb87 \ + --hash=sha256:718a38f7e5b058e76aee1c56ddd06908116d35147e133427e59a3983f703a20d \ + --hash=sha256:7b4075d959648406202d92a2310cb990fea19b535c7f4a78d3f5e10b926eeb8a \ + --hash=sha256:a508e2d9025764a8270f93111a970e1d0fbfc33f4153b388bb649b7eec4f9b42 \ + --hash=sha256:b7a2c10b93f8986666d0c803ee19b5990885872a7de910fc460f9b0c2fbf92ee \ + --hash=sha256:f95ba5a847cba10dd8c4d8fefa9f2a6cf283b8b88ed6178fa8a6c1ab16054d0d + # via portalocker +pyyaml==6.0.3 \ + --hash=sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c \ + --hash=sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3 \ + --hash=sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6 \ + --hash=sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65 \ + --hash=sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1 \ + --hash=sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310 \ + --hash=sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac \ + --hash=sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9 \ + --hash=sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7 \ + --hash=sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35 \ + --hash=sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb \ + --hash=sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065 \ + --hash=sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c \ + --hash=sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c \ + --hash=sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764 \ + --hash=sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac \ + --hash=sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8 \ + --hash=sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3 \ + --hash=sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5 \ + --hash=sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702 \ + --hash=sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788 \ + --hash=sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba \ + --hash=sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5 \ + --hash=sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26 \ + --hash=sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f \ + --hash=sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b \ + --hash=sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be \ + --hash=sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c \ + --hash=sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6 + # via + # langchain-classic + # langchain-community + # langchain-core +qdrant-client==1.17.0 \ + --hash=sha256:47eb033edb9be33a4babb4d87b0d8d5eaf03d52112dca0218db7f2030bf41ba9 \ + --hash=sha256:f5b452c68c42b3580d3d266446fb00d3c6e3aae89c916e16585b3c704e108438 + # via + # langchain-qdrant + # maicro +requests==2.32.5 \ + --hash=sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6 \ + --hash=sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf + # via + # google-auth + # google-genai + # langchain-classic + # langchain-community + # langsmith + # requests-toolbelt +requests-toolbelt==1.0.0 \ + --hash=sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6 \ + --hash=sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06 + # via langsmith +rsa==4.9.1 \ + --hash=sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762 \ + --hash=sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75 + # via google-auth +sniffio==1.3.1 \ + --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ + --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc + # via google-genai +sqlalchemy==2.0.48 \ + --hash=sha256:1182437cb2d97988cfea04cf6cdc0b0bb9c74f4d56ec3d08b81e23d621a28cc6 \ + --hash=sha256:144921da96c08feb9e2b052c5c5c1d0d151a292c6135623c6b2c041f2a45f9e0 \ + --hash=sha256:1ccd42229aaac2df431562117ac7e667d702e8e44afdb6cf0e50fa3f18160f0b \ + --hash=sha256:2645b7d8a738763b664a12a1542c89c940daa55196e8d73e55b169cc5c99f65f \ + --hash=sha256:288937433bd44e3990e7da2402fabc44a3c6c25d3704da066b85b89a85474ae0 \ + --hash=sha256:36ac4ddc3d33e852da9cb00ffb08cea62ca05c39711dc67062ca2bb1fae35fd8 \ + --hash=sha256:389b984139278f97757ea9b08993e7b9d1142912e046ab7d82b3fbaeb0209131 \ + --hash=sha256:426c5ca86415d9b8945c7073597e10de9644802e2ff502b8e1f11a7a2642856b \ + --hash=sha256:49b7bddc1eebf011ea5ab722fdbe67a401caa34a350d278cc7733c0e88fecb1f \ + --hash=sha256:5aee45fd2c6c0f2b9cdddf48c48535e7471e42d6fb81adfde801da0bd5b93241 \ + --hash=sha256:5b193a7e29fd9fa56e502920dca47dffe60f97c863494946bd698c6058a55658 \ + --hash=sha256:5ca74f37f3369b45e1f6b7b06afb182af1fd5dde009e4ffd831830d98cbe5fe7 \ + --hash=sha256:69f5bc24904d3bc3640961cddd2523e361257ef68585d6e364166dfbe8c78fae \ + --hash=sha256:7a936f1bb23d370b7c8cc079d5fce4c7d18da87a33c6744e51a93b0f9e97e9b3 \ + --hash=sha256:7cddca31edf8b0653090cbb54562ca027c421c58ddde2c0685f49ff56a1690e0 \ + --hash=sha256:8183dc57ae7d9edc1346e007e840a9f3d6aa7b7f165203a99e16f447150140d2 \ + --hash=sha256:9764014ef5e58aab76220c5664abb5d47d5bc858d9debf821e55cfdd0f128485 \ + --hash=sha256:a66fe406437dd65cacd96a72689a3aaaecaebbcd62d81c5ac1c0fdbeac835096 \ + --hash=sha256:b19151e76620a412c2ac1c6f977ab1b9fa7ad43140178345136456d5265b32ed \ + --hash=sha256:b8438ec5594980d405251451c5b7ea9aa58dda38eb7ac35fb7e4c696712ee24f \ + --hash=sha256:d612c976cbc2d17edfcc4c006874b764e85e990c29ce9bd411f926bbfb02b9a2 \ + --hash=sha256:d854b3970067297f3a7fbd7a4683587134aa9b3877ee15aa29eea478dc68f933 \ + --hash=sha256:e004aa9248e8cb0a5f9b96d003ca7c1c0a5da8decd1066e7b53f59eb8ce7c62b \ + --hash=sha256:e2d0d88686e3d35a76f3e15a34e8c12d73fc94c1dea1cd55782e695cc14086dd \ + --hash=sha256:e2f35b4cccd9ed286ad62e0a3c3ac21e06c02abc60e20aa51a3e305a30f5fa79 \ + --hash=sha256:e3070c03701037aa418b55d36532ecb8f8446ed0135acb71c678dbdf12f5b6e4 \ + --hash=sha256:f0dcbc588cd5b725162c076eb9119342f6579c7f7f55057bb7e3c6ff27e13121 \ + --hash=sha256:fd08b90d211c086181caed76931ecfa2bdfc83eea3cfccdb0f82abc6c4b876cb + # via + # langchain-classic + # langchain-community +tenacity==9.1.4 \ + --hash=sha256:6095a360c919085f28c6527de529e76a06ad89b23659fa881ae0649b867a9d55 \ + --hash=sha256:adb31d4c263f2bd041081ab33b498309a57c77f9acf2db65aadf0898179cf93a + # via + # google-genai + # langchain-community + # langchain-core +typing-extensions==4.15.0 \ + --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ + --hash=sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548 + # via + # google-genai + # grpcio + # langchain-core + # pydantic + # pydantic-core + # sqlalchemy + # typing-inspect + # typing-inspection +typing-inspect==0.9.0 \ + --hash=sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f \ + --hash=sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78 + # via dataclasses-json +typing-inspection==0.4.2 \ + --hash=sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7 \ + --hash=sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464 + # via + # pydantic + # pydantic-settings +urllib3==2.6.3 \ + --hash=sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed \ + --hash=sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4 + # via + # qdrant-client + # requests +uuid-utils==0.14.1 \ + --hash=sha256:043fb58fde6cf1620a6c066382f04f87a8e74feb0f95a585e4ed46f5d44af57b \ + --hash=sha256:0972488e3f9b449e83f006ead5a0e0a33ad4a13e4462e865b7c286ab7d7566a3 \ + --hash=sha256:1c238812ae0c8ffe77d8d447a32c6dfd058ea4631246b08b5a71df586ff08531 \ + --hash=sha256:60e0854a90d67f4b0cc6e54773deb8be618f4c9bad98d3326f081423b5d14fae \ + --hash=sha256:93a3b5dc798a54a1feb693f2d1cb4cf08258c32ff05ae4929b5f0a2ca624a4f0 \ + --hash=sha256:9bfc95f64af80ccf129c604fb6b8ca66c6f256451e32bc4570f760e4309c9b69 \ + --hash=sha256:b04cb49b42afbc4ff8dbc60cf054930afc479d6f4dd7f1ec3bbe5dbfdde06b7a \ + --hash=sha256:b54d6aa6252d96bac1fdbc80d26ba71bad9f220b2724d692ad2f2310c22ef523 \ + --hash=sha256:b56b0cacd81583834820588378e432b0696186683b813058b707aedc1e16c4b1 \ + --hash=sha256:bb3cf14de789097320a3c56bfdfdd51b1225d11d67298afbedee7e84e3837c96 \ + --hash=sha256:bec8f8ef627af86abf8298e7ec50926627e29b34fa907fcfbedb45aaa72bca43 \ + --hash=sha256:c915d53f22945e55fe0d3d3b0b87fd965a57f5fd15666fd92d6593a73b1dd297 \ + --hash=sha256:ccd65a4b8e83af23eae5e56d88034b2fe7264f465d3e830845f10d1591b81741 \ + --hash=sha256:ce6743ba194de3910b5feb1a62590cd2587e33a73ab6af8a01b642ceb5055862 \ + --hash=sha256:fc27638c2ce267a0ce3e06828aff786f91367f093c80625ee21dad0208e0f5ba + # via + # langchain-core + # langsmith +websockets==16.0 \ + --hash=sha256:152284a83a00c59b759697b7f9e9cddf4e3c7861dd0d964b472b70f78f89e80e \ + --hash=sha256:1637db62fad1dc833276dded54215f2c7fa46912301a24bd94d45d46a011ceec \ + --hash=sha256:19c4dc84098e523fd63711e563077d39e90ec6702aff4b5d9e344a60cb3c0cb1 \ + --hash=sha256:32da954ffa2814258030e5a57bc73a3635463238e797c7375dc8091327434206 \ + --hash=sha256:3425ac5cf448801335d6fdc7ae1eb22072055417a96cc6b31b3861f455fbc156 \ + --hash=sha256:50f23cdd8343b984957e4077839841146f67a3d31ab0d00e6b824e74c5b2f6e8 \ + --hash=sha256:52a0fec0e6c8d9a784c2c78276a48a2bdf099e4ccc2a4cad53b27718dbfd0230 \ + --hash=sha256:52ac480f44d32970d66763115edea932f1c5b1312de36df06d6b219f6741eed8 \ + --hash=sha256:569d01a4e7fba956c5ae4fc988f0d4e187900f5497ce46339c996dbf24f17641 \ + --hash=sha256:5a4b4cc550cb665dd8a47f868c8d04c8230f857363ad3c9caf7a0c3bf8c61ca6 \ + --hash=sha256:5f6261a5e56e8d5c42a4497b364ea24d94d9563e8fbd44e78ac40879c60179b5 \ + --hash=sha256:6e5a82b677f8f6f59e8dfc34ec06ca6b5b48bc4fcda346acd093694cc2c24d8f \ + --hash=sha256:781caf5e8eee67f663126490c2f96f40906594cb86b408a703630f95550a8c3e \ + --hash=sha256:878b336ac47938b474c8f982ac2f7266a540adc3fa4ad74ae96fea9823a02cc9 \ + --hash=sha256:8cc451a50f2aee53042ac52d2d053d08bf89bcb31ae799cb4487587661c038a0 \ + --hash=sha256:95724e638f0f9c350bb1c2b0a7ad0e83d9cc0c9259f3ea94e40d7b02a2179ae5 \ + --hash=sha256:a069d734c4a043182729edd3e9f247c3b2a4035415a9172fd0f1b71658a320a8 \ + --hash=sha256:a35539cacc3febb22b8f4d4a99cc79b104226a756aa7400adc722e83b0d03244 \ + --hash=sha256:a5e18a238a2b2249c9a9235466b90e96ae4795672598a58772dd806edc7ac6d3 \ + --hash=sha256:abf050a199613f64c886ea10f38b47770a65154dc37181bfaff70c160f45315a \ + --hash=sha256:b14dc141ed6d2dde437cddb216004bcac6a1df0935d79656387bd41632ba0bbd \ + --hash=sha256:b784ca5de850f4ce93ec85d3269d24d4c82f22b7212023c974c401d4980ebc5e \ + --hash=sha256:bc59589ab64b0022385f429b94697348a6a234e8ce22544e3681b2e9331b5944 \ + --hash=sha256:c0204dc62a89dc9d50d682412c10b3542d748260d743500a85c13cd1ee4bde82 \ + --hash=sha256:c0ee0e63f23914732c6d7e0cce24915c48f3f1512ec1d079ed01fc629dab269d \ + --hash=sha256:caab51a72c51973ca21fa8a18bd8165e1a0183f1ac7066a182ff27107b71e1a4 \ + --hash=sha256:daa3b6ff70a9241cf6c7fc9e949d41232d9d7d26fd3522b1ad2b4d62487e9904 \ + --hash=sha256:e6578ed5b6981005df1860a56e3617f14a6c307e6a71b4fff8c48fdc50f3ed2c \ + --hash=sha256:fd3cb4adb94a2a6e2b7c0d8d05cb94e6f1c81a0cf9dc2694fb65c7e8d94c42e4 + # via google-genai +xxhash==3.6.0 \ + --hash=sha256:01262da8798422d0685f7cef03b2bd3f4f46511b02830861df548d7def4402ad \ + --hash=sha256:016e9190af8f0a4e3741343777710e3d5717427f175adfdc3e72508f59e2a7f3 \ + --hash=sha256:0226aa89035b62b6a86d3c68df4d7c1f47a342b8683da2b60cedcddb46c4d95b \ + --hash=sha256:0444e7967dac37569052d2409b00a8860c2135cff05502df4da80267d384849f \ + --hash=sha256:0e4edbfc7d420925b0dd5e792478ed393d6e75ff8fc219a6546fb446b6a417b1 \ + --hash=sha256:1244460adc3a9be84731d72b8e80625788e5815b68da3da8b83f78115a40a7ec \ + --hash=sha256:1cf9dcc4ab9cff01dfbba78544297a3a01dafd60f3bde4e2bfd016cf7e4ddc67 \ + --hash=sha256:2577b276e060b73b73a53042ea5bd5203d3e6347ce0d09f98500f418a9fcf799 \ + --hash=sha256:25915e6000338999236f1eb68a02a32c3275ac338628a7eaa5a269c401995679 \ + --hash=sha256:39be8e4e142550ef69629c9cd71b88c90e9a5db703fecbcf265546d9536ca4ad \ + --hash=sha256:3cd01fa2aa00d8b017c97eb46b9a794fbdca53fc14f845f5a328c71254b0abb7 \ + --hash=sha256:3ed0df1b11a79856df5ffcab572cbd6b9627034c1c748c5566fa79df9048a7c5 \ + --hash=sha256:40c391dd3cd041ebc3ffe6f2c862f402e306eb571422e0aa918d8070ba31da11 \ + --hash=sha256:42c36dd7dbad2f5238950c377fcbf6811b1cdb1c444fab447960030cea60504d \ + --hash=sha256:457b8f85dec5825eed7b69c11ae86834a018b8e3df5e77783c999663da2f96d6 \ + --hash=sha256:4b54219177f6c6674d5378bd862c6aedf64725f70dd29c472eaae154df1a2e89 \ + --hash=sha256:4f6f72232f849eb9d0141e2ebe2677ece15adfd0fa599bc058aad83c714bb2c6 \ + --hash=sha256:51a73fb7cb3a3ead9f7a8b583ffd9b8038e277cdb8cb87cf890e88b3456afa0b \ + --hash=sha256:568a6d743219e717b07b4e03b0a828ce593833e498c3b64752e0f5df6bfe84db \ + --hash=sha256:5851f033c3030dd95c086b4a36a2683c2ff4a799b23af60977188b057e467119 \ + --hash=sha256:599e64ba7f67472481ceb6ee80fa3bd828fd61ba59fb11475572cc5ee52b89ec \ + --hash=sha256:5c1343d49ac102799905e115aee590183c3921d475356cb24b4de29a4bc56518 \ + --hash=sha256:5f059d9faeacd49c0215d66f4056e1326c80503f51a1532ca336a385edadd033 \ + --hash=sha256:6105ef7e62b5ac73a837778efc331a591d8442f8ef5c7e102376506cb4ae2729 \ + --hash=sha256:627f0af069b0ea56f312fd5189001c24578868643203bca1abbc2c52d3a6f3ca \ + --hash=sha256:63275a8aba7865e44b1813d2177e0f5ea7eadad3dd063a21f7cf9afdc7054063 \ + --hash=sha256:653a91d7c2ab54a92c19ccf43508b6a555440b9be1bc8be553376778be7f20b5 \ + --hash=sha256:6f2580ffab1a8b68ef2b901cde7e55fa8da5e4be0977c68f78fc80f3c143de42 \ + --hash=sha256:757320d45d2fbcce8f30c42a6b2f47862967aea7bf458b9625b4bbe7ee390392 \ + --hash=sha256:78e7f2f4c521c30ad5e786fdd6bae89d47a32672a80195467b5de0480aa97b1f \ + --hash=sha256:794fe9145fe60191c6532fa95063765529770edcdd67b3d537793e8004cabbfd \ + --hash=sha256:7d8b8aaa30fca4f16f0c84a5c8d7ddee0e25250ec2796c973775373257dde8f1 \ + --hash=sha256:858dc935963a33bc33490128edc1c12b0c14d9c7ebaa4e387a7869ecc4f3e263 \ + --hash=sha256:8cb2f4f679b01513b7adbb9b1b2f0f9cdc31b70007eaf9d59d0878809f385b11 \ + --hash=sha256:9176dcaddf4ca963d4deb93866d739a343c01c969231dbe21680e13a5d1a5bf0 \ + --hash=sha256:9b3222c686a919a0f3253cfc12bb118b8b103506612253b5baeaac10d8027cf6 \ + --hash=sha256:a40a3d35b204b7cc7643cbcf8c9976d818cb47befcfac8bbefec8038ac363f3e \ + --hash=sha256:a42e633d75cdad6d625434e3468126c73f13f7584545a9cf34e883aa1710e702 \ + --hash=sha256:a54844be970d3fc22630b32d515e79a90d0a3ddb2644d8d7402e3c4c8da61405 \ + --hash=sha256:a756fe893389483ee8c394d06b5ab765d96e68fbbfe6fde7aa17e11f5720559f \ + --hash=sha256:a881851cf38b0a70e7c4d3ce81fc7afd86fbc2a024f4cfb2a97cf49ce04b75d3 \ + --hash=sha256:aa912c62f842dfd013c5f21a642c9c10cd9f4c4e943e0af83618b4a404d9091a \ + --hash=sha256:b1e420ef35c503869c4064f4a2f2b08ad6431ab7b229a05cce39d74268bca6b8 \ + --hash=sha256:b45fad44d9c5c119e9c6fbf2e1c656a46dc68e280275007bbfd3d572b21426db \ + --hash=sha256:b465afd7909db30168ab62afe40b2fcf79eedc0b89a6c0ab3123515dc0df8b99 \ + --hash=sha256:b9c6df83594f7df8f7f708ce5ebeacfc69f72c9fbaaababf6cf4758eaada0c9b \ + --hash=sha256:ba284920194615cb8edf73bf52236ce2e1664ccd4a38fdb543506413529cc546 \ + --hash=sha256:bb79b1e63f6fd84ec778a4b1916dfe0a7c3fdb986c06addd5db3a0d413819d95 \ + --hash=sha256:bec91b562d8012dae276af8025a55811b875baace6af510412a5e58e3121bc54 \ + --hash=sha256:c1ce4009c97a752e682b897aa99aef84191077a9433eb237774689f14f8ec152 \ + --hash=sha256:c5294f596a9017ca5a3e3f8884c00b91ab2ad2933cf288f4923c3fd4346cf3d4 \ + --hash=sha256:c5aa639bc113e9286137cec8fadc20e9cd732b2cc385c0b7fa673b84fc1f2a93 \ + --hash=sha256:c6e193e9f56e4ca4923c61238cdaced324f0feac782544eb4c6d55ad5cc99ddd \ + --hash=sha256:d597acf8506d6e7101a4a44a5e428977a51c0fadbbfd3c39650cca9253f6e5a6 \ + --hash=sha256:d706dca2d24d834a4661619dcacf51a75c16d65985718d6a7d73c1eeeb903ddf \ + --hash=sha256:ec44b73a4220623235f67a996c862049f375df3b1052d9899f40a6382c32d746 \ + --hash=sha256:f01375c0e55395b814a679b3eea205db7919ac2af213f4a6682e01220e5fe292 \ + --hash=sha256:f0162a78b13a0d7617b2845b90c763339d1f1d82bb04a4b07f4ab535cc5e05d6 \ + --hash=sha256:f205badabde7aafd1a31e8ca2a3e5a763107a71c397c4481d6a804eb5063d8bd \ + --hash=sha256:f22927652cba98c44639ffdc7aaf35828dccf679b10b31c4ad72a5b530a18eb7 \ + --hash=sha256:fba27a198363a7ef87f8c0f6b171ec36b674fe9053742c58dd7e3201c1ab30ee + # via langsmith +yarl==1.23.0 \ + --hash=sha256:041b1a4cefacf65840b4e295c6985f334ba83c30607441ae3cf206a0eed1a2e4 \ + --hash=sha256:0793e2bd0cf14234983bbb371591e6bea9e876ddf6896cdcc93450996b0b5c85 \ + --hash=sha256:115136c4a426f9da976187d238e84139ff6b51a20839aa6e3720cd1026d768de \ + --hash=sha256:16c6994ac35c3e74fb0ae93323bf8b9c2a9088d55946109489667c510a7d010e \ + --hash=sha256:17235362f580149742739cc3828b80e24029d08cbb9c4bda0242c7b5bc610a8e \ + --hash=sha256:1b6b572edd95b4fa8df75de10b04bc81acc87c1c7d16bcdd2035b09d30acc957 \ + --hash=sha256:1c57676bdedc94cd3bc37724cf6f8cd2779f02f6aba48de45feca073e714fe52 \ + --hash=sha256:21d1b7305a71a15b4794b5ff22e8eef96ff4a6d7f9657155e5aa419444b28912 \ + --hash=sha256:23f371bd662cf44a7630d4d113101eafc0cfa7518a2760d20760b26021454719 \ + --hash=sha256:2569b67d616eab450d262ca7cb9f9e19d2f718c70a8b88712859359d0ab17035 \ + --hash=sha256:2803ed8b21ca47a43da80a6fd1ed3019d30061f7061daa35ac54f63933409412 \ + --hash=sha256:2e27c8841126e017dd2a054a95771569e6070b9ee1b133366d8b31beb5018a41 \ + --hash=sha256:34b6cf500e61c90f305094911f9acc9c86da1a05a7a3f5be9f68817043f486e4 \ + --hash=sha256:3650dc2480f94f7116c364096bc84b1d602f44224ef7d5c7208425915c0475dd \ + --hash=sha256:39004f0ad156da43e86aa71f44e033de68a44e5a31fc53507b36dd253970054a \ + --hash=sha256:394906945aa8b19fc14a61cf69743a868bb8c465efe85eee687109cc540b98f4 \ + --hash=sha256:44bb7bef4ea409384e3f8bc36c063d77ea1b8d4a5b2706956c0d6695f07dcc25 \ + --hash=sha256:4503053d296bc6e4cbd1fad61cf3b6e33b939886c4f249ba7c78b602214fabe2 \ + --hash=sha256:4966242ec68afc74c122f8459abd597afd7d8a60dc93d695c1334c5fd25f762f \ + --hash=sha256:4a42e651629dafb64fd5b0286a3580613702b5809ad3f24934ea87595804f2c5 \ + --hash=sha256:5023346c4ee7992febc0068e7593de5fa2bf611848c08404b35ebbb76b1b0512 \ + --hash=sha256:50f9d8d531dfb767c565f348f33dd5139a6c43f5cbdf3f67da40d54241df93f6 \ + --hash=sha256:531ef597132086b6cf96faa7c6c1dcd0361dd5f1694e5cc30375907b9b7d3ea9 \ + --hash=sha256:53b1ea6ca88ebd4420379c330aea57e258408dd0df9af0992e5de2078dc9f5d5 \ + --hash=sha256:575aa4405a656e61a540f4a80eaa5260f2a38fff7bfdc4b5f611840d76e9e277 \ + --hash=sha256:578110dd426f0d209d1509244e6d4a3f1a3e9077655d98c5f22583d63252a08a \ + --hash=sha256:5ee586fb17ff8f90c91cf73c6108a434b02d69925f44f5f8e0d7f2f260607eae \ + --hash=sha256:609d3614d78d74ebe35f54953c5bbd2ac647a7ddb9c30a5d877580f5e86b22f2 \ + --hash=sha256:62694e275c93d54f7ccedcfef57d42761b2aad5234b6be1f3e3026cae4001cd4 \ + --hash=sha256:63e92247f383c85ab00dd0091e8c3fa331a96e865459f5ee80353c70a4a42d70 \ + --hash=sha256:682bae25f0a0dd23a056739f23a134db9f52a63e2afd6bfb37ddc76292bbd723 \ + --hash=sha256:6f0fd84de0c957b2d280143522c4f91a73aada1923caee763e24a2b3fda9f8a5 \ + --hash=sha256:70efd20be968c76ece7baa8dafe04c5be06abc57f754d6f36f3741f7aa7a208e \ + --hash=sha256:71d006bee8397a4a89f469b8deb22469fe7508132d3c17fa6ed871e79832691c \ + --hash=sha256:73309162a6a571d4cbd3b6a1dcc703c7311843ae0d1578df6f09be4e98df38d4 \ + --hash=sha256:76855800ac56f878847a09ce6dba727c93ca2d89c9e9d63002d26b916810b0a2 \ + --hash=sha256:7c6b9461a2a8b47c65eef63bb1c76a4f1c119618ffa99ea79bc5bb1e46c5821b \ + --hash=sha256:85610b4f27f69984932a7abbe52703688de3724d9f72bceb1cca667deff27474 \ + --hash=sha256:88f9fb0116fbfcefcab70f85cf4b74a2b6ce5d199c41345296f49d974ddb4123 \ + --hash=sha256:93a784271881035ab4406a172edb0faecb6e7d00f4b53dc2f55919d6c9688595 \ + --hash=sha256:94f8575fbdf81749008d980c17796097e645574a3b8c28ee313931068dad14fe \ + --hash=sha256:95451e6ce06c3e104556d73b559f5da6c34a069b6b62946d3ad66afcd51642ea \ + --hash=sha256:9a18d6f9359e45722c064c97464ec883eb0e0366d33eda61cb19a244bf222679 \ + --hash=sha256:a0e317df055958a0c1e79e5d2aa5a5eaa4a6d05a20d4b0c9c3f48918139c9fc6 \ + --hash=sha256:a2df6afe50dea8ae15fa34c9f824a3ee958d785fd5d089063d960bae1daa0a3f \ + --hash=sha256:a31de1613658308efdb21ada98cbc86a97c181aa050ba22a808120bb5be3ab94 \ + --hash=sha256:a41bcf68efd19073376eb8cf948b8d9be0af26256403e512bb18f3966f1f9120 \ + --hash=sha256:a82836cab5f197a0514235aaf7ffccdc886ccdaa2324bc0aafdd4ae898103039 \ + --hash=sha256:a8d00f29b42f534cc8aa3931cfe773b13b23e561e10d2b26f27a8d309b0e82a1 \ + --hash=sha256:ac09d42f48f80c9ee1635b2fcaa819496a44502737660d3c0f2ade7526d29144 \ + --hash=sha256:aecfed0b41aa72b7881712c65cf764e39ce2ec352324f5e0837c7048d9e6daaa \ + --hash=sha256:baaf55442359053c7d62f6f8413a62adba3205119bcb6f49594894d8be47e5e3 \ + --hash=sha256:bd654fad46d8d9e823afbb4f87c79160b5a374ed1ff5bde24e542e6ba8f41434 \ + --hash=sha256:c4a80f77dc1acaaa61f0934176fccca7096d9b1ff08c8ba9cddf5ae034a24319 \ + --hash=sha256:c7f8dc16c498ff06497c015642333219871effba93e4a2e8604a06264aca5c5c \ + --hash=sha256:c8aa34a5c864db1087d911a0b902d60d203ea3607d91f615acd3f3108ac32169 \ + --hash=sha256:cde9a2ecd91668bcb7f077c4966d8ceddb60af01b52e6e3e2680e4cf00ad1a59 \ + --hash=sha256:d1009abedb49ae95b136a8904a3f71b342f849ffeced2d3747bf29caeda218c4 \ + --hash=sha256:d38c1e8231722c4ce40d7593f28d92b5fc72f3e9774fe73d7e800ec32299f63a \ + --hash=sha256:d53834e23c015ee83a99377db6e5e37d8484f333edb03bd15b4bc312cc7254fb \ + --hash=sha256:d7504f2b476d21653e4d143f44a175f7f751cd41233525312696c76aa3dbb23f \ + --hash=sha256:dd00607bffbf30250fe108065f07453ec124dbf223420f57f5e749b04295e090 \ + --hash=sha256:e09fd068c2e169a7070d83d3bde728a4d48de0549f975290be3c108c02e499b4 \ + --hash=sha256:e0fd068364a6759bc794459f0a735ab151d11304346332489c7972bacbe9e72b \ + --hash=sha256:e5723c01a56c5028c807c701aa66722916d2747ad737a046853f6c46f4875543 \ + --hash=sha256:e7b0460976dc75cb87ad9cc1f9899a4b97751e7d4e77ab840fc9b6d377b8fd24 \ + --hash=sha256:e9d9a4d06d3481eab79803beb4d9bd6f6a8e781ec078ac70d7ef2dcc29d1bea5 \ + --hash=sha256:ead11956716a940c1abc816b7df3fa2b84d06eaed8832ca32f5c5e058c65506b \ + --hash=sha256:f40e782d49630ad384db66d4d8b73ff4f1b8955dc12e26b09a3e3af064b3b9d6 \ + --hash=sha256:f514f6474e04179d3d33175ed3f3e31434d3130d42ec153540d5b157deefd735 \ + --hash=sha256:fb1e8b8d66c278b21d13b0a7ca22c41dd757a7c209c6b12c313e445c31dd3b28 \ + --hash=sha256:fb4948814a2a98e3912505f09c9e7493b1506226afb1f881825368d6fb776ee3 \ + --hash=sha256:fda207c815b253e34f7e1909840fd14299567b1c0eb4908f8c2ce01a41265401 \ + --hash=sha256:fe8f8f5e70e6dbdfca9882cd9deaac058729bcf323cf7a58660901e55c9c94f6 + # via aiohttp +zstandard==0.25.0 \ + --hash=sha256:05df5136bc5a011f33cd25bc9f506e7426c0c9b3f9954f056831ce68f3b6689f \ + --hash=sha256:0be7622c37c183406f3dbf0cba104118eb16a4ea7359eeb5752f0794882fc250 \ + --hash=sha256:1673b7199bbe763365b81a4f3252b8e80f44c9e323fc42940dc8843bfeaf9851 \ + --hash=sha256:172de1f06947577d3a3005416977cce6168f2261284c02080e7ad0185faeced3 \ + --hash=sha256:1f830a0dac88719af0ae43b8b2d6aef487d437036468ef3c2ea59c51f9d55fd5 \ + --hash=sha256:223415140608d0f0da010499eaa8ccdb9af210a543fac54bce15babbcfc78439 \ + --hash=sha256:2e54296a283f3ab5a26fc9b8b5d4978ea0532f37b231644f367aa588930aa043 \ + --hash=sha256:3a39c94ad7866160a4a46d772e43311a743c316942037671beb264e395bdd611 \ + --hash=sha256:3c83b0188c852a47cd13ef3bf9209fb0a77fa5374958b8c53aaa699398c6bd7b \ + --hash=sha256:4203ce3b31aec23012d3a4cf4a2ed64d12fea5269c49aed5e4c3611b938e4088 \ + --hash=sha256:457ed498fc58cdc12fc48f7950e02740d4f7ae9493dd4ab2168a47c93c31298e \ + --hash=sha256:4f187a0bb61b35119d1926aee039524d1f93aaf38a9916b8c4b78ac8514a0aaf \ + --hash=sha256:5f5e4c2a23ca271c218ac025bd7d635597048b366d6f31f420aaeb715239fc98 \ + --hash=sha256:7030defa83eef3e51ff26f0b7bfb229f0204b66fe18e04359ce3474ac33cbc09 \ + --hash=sha256:7713e1179d162cf5c7906da876ec2ccb9c3a9dcbdffef0cc7f70c3667a205f0b \ + --hash=sha256:85304a43f4d513f5464ceb938aa02c1e78c2943b29f44a750b48b25ac999a049 \ + --hash=sha256:8e735494da3db08694d26480f1493ad2cf86e99bdd53e8e9771b2752a5c0246a \ + --hash=sha256:9654dbc012d8b06fc3d19cc825af3f7bf8ae242226df5f83936cb39f5fdc846c \ + --hash=sha256:a1a4ae2dec3993a32247995bdfe367fc3266da832d82f8438c8570f989753de1 \ + --hash=sha256:a4089a10e598eae6393756b036e0f419e8c1d60f44a831520f9af41c14216cf2 \ + --hash=sha256:a9ec8c642d1ec73287ae3e726792dd86c96f5681eb8df274a757bf62b750eae7 \ + --hash=sha256:bfc4e20784722098822e3eee42b8e576b379ed72cca4a7cb856ae733e62192ea \ + --hash=sha256:c19bcdd826e95671065f8692b5a4aa95c52dc7a02a4c5a0cac46deb879a017a2 \ + --hash=sha256:ca54090275939dc8ec5dea2d2afb400e0f83444b2fc24e07df7fdef677110859 \ + --hash=sha256:d7541afd73985c630bafcd6338d2518ae96060075f9463d7dc14cfb33514383d \ + --hash=sha256:da469dc041701583e34de852d8634703550348d5822e66a0c827d39b05365b12 \ + --hash=sha256:e09bb6252b6476d8d56100e8147b803befa9a12cea144bbe629dd508800d1ad0 \ + --hash=sha256:e29f0cf06974c899b2c188ef7f783607dbef36da4c242eb6c82dcd8b512855e3 \ + --hash=sha256:e96594a5537722fdfb79951672a2a63aec5ebfb823e7560586f7484819f2a08f \ + --hash=sha256:ec996f12524f88e151c339688c3897194821d7f03081ab35d31d1e12ec975e94 \ + --hash=sha256:f604efd28f239cc21b3adb53eb061e2a205dc164be408e553b41ba2ffe0ca15c \ + --hash=sha256:f67e8f1a324a900e75b5e28ffb152bcac9fbed1cc7b43f99cd90f395c4375344 \ + --hash=sha256:fd7a5004eb1980d3cefe26b2685bcb0b17989901a70a1040d1ac86f1d898c551 + # via langsmith diff --git a/uv.lock b/uv.lock index 1e8f7bd..00493e5 100644 --- a/uv.lock +++ b/uv.lock @@ -591,6 +591,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/71/92/5e77f98553e9e75130c78900d000368476aed74276eb8ae8796f65f00918/jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942", size = 7595, upload-time = "2024-06-10T19:24:40.698Z" }, ] +[[package]] +name = "langchain" +version = "1.2.10" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "langchain-core" }, + { name = "langgraph" }, + { name = "pydantic" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/16/22/a4d4ac98fc2e393537130bbfba0d71a8113e6f884d96f935923e247397fe/langchain-1.2.10.tar.gz", hash = "sha256:bdcd7218d9c79a413cf15e106e4eb94408ac0963df9333ccd095b9ed43bf3be7", size = 570071, upload-time = "2026-02-10T14:56:49.74Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7c/06/c3394327f815fade875724c0f6cff529777c96a1e17fea066deb997f8cf5/langchain-1.2.10-py3-none-any.whl", hash = "sha256:e07a377204451fffaed88276b8193e894893b1003e25c5bca6539288ccca3698", size = 111738, upload-time = "2026-02-10T14:56:47.985Z" }, +] + [[package]] name = "langchain-classic" version = "1.0.2" @@ -692,6 +706,62 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/84/66/d9e0c3b83b0ad75ee746c51ba347cacecb8d656b96e1d513f3e334d1ccab/langchain_text_splitters-1.1.1-py3-none-any.whl", hash = "sha256:5ed0d7bf314ba925041e7d7d17cd8b10f688300d5415fb26c29442f061e329dc", size = 35734, upload-time = "2026-02-18T23:02:41.913Z" }, ] +[[package]] +name = "langgraph" +version = "1.0.10" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "langchain-core" }, + { name = "langgraph-checkpoint" }, + { name = "langgraph-prebuilt" }, + { name = "langgraph-sdk" }, + { name = "pydantic" }, + { name = "xxhash" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/55/92/14df6fefba28c10caf1cb05aa5b8c7bf005838fe32a86d903b6c7cc4018d/langgraph-1.0.10.tar.gz", hash = "sha256:73bd10ee14a8020f31ef07e9cd4c1a70c35cc07b9c2b9cd637509a10d9d51e29", size = 511644, upload-time = "2026-02-27T21:04:38.743Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5d/60/260e0c04620a37ba8916b712766c341cc5fc685dabc6948c899494bbc2ae/langgraph-1.0.10-py3-none-any.whl", hash = "sha256:7c298bef4f6ea292fcf9824d6088fe41a6727e2904ad6066f240c4095af12247", size = 160920, upload-time = "2026-02-27T21:04:35.932Z" }, +] + +[[package]] +name = "langgraph-checkpoint" +version = "4.0.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "langchain-core" }, + { name = "ormsgpack" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b1/44/a8df45d1e8b4637e29789fa8bae1db022c953cc7ac80093cfc52e923547e/langgraph_checkpoint-4.0.1.tar.gz", hash = "sha256:b433123735df11ade28829e40ce25b9be614930cd50245ff2af60629234befd9", size = 158135, upload-time = "2026-02-27T21:06:16.092Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/65/4c/09a4a0c42f5d2fc38d6c4d67884788eff7fd2cfdf367fdf7033de908b4c0/langgraph_checkpoint-4.0.1-py3-none-any.whl", hash = "sha256:e3adcd7a0e0166f3b48b8cf508ce0ea366e7420b5a73aa81289888727769b034", size = 50453, upload-time = "2026-02-27T21:06:14.293Z" }, +] + +[[package]] +name = "langgraph-prebuilt" +version = "1.0.8" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "langchain-core" }, + { name = "langgraph-checkpoint" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0d/06/dd61a5c2dce009d1b03b1d56f2a85b3127659fdddf5b3be5d8f1d60820fb/langgraph_prebuilt-1.0.8.tar.gz", hash = "sha256:0cd3cf5473ced8a6cd687cc5294e08d3de57529d8dd14fdc6ae4899549efcf69", size = 164442, upload-time = "2026-02-19T18:14:39.083Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/dc/41/ec966424ad3f2ed3996d24079d3342c8cd6c0bd0653c12b2a917a685ec6c/langgraph_prebuilt-1.0.8-py3-none-any.whl", hash = "sha256:d16a731e591ba4470f3e313a319c7eee7dbc40895bcf15c821f985a3522a7ce0", size = 35648, upload-time = "2026-02-19T18:14:37.611Z" }, +] + +[[package]] +name = "langgraph-sdk" +version = "0.3.9" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "httpx" }, + { name = "orjson" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/3a/bd/ca8ae5c6a34be6d4f7aa86016e010ff96b3a939456041565797952e3014d/langgraph_sdk-0.3.9.tar.gz", hash = "sha256:8be8958529b3f6d493ec248fdb46e539362efda75784654a42a7091d22504e0e", size = 184287, upload-time = "2026-02-24T18:39:03.276Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/6a/4c/7a7510260fbda788efd13bf4650d3e7d80988118441ac811ec78e0aa03ac/langgraph_sdk-0.3.9-py3-none-any.whl", hash = "sha256:94654294250c920789b6ed0d8a70c0117fed5736b61efc24ff647157359453c5", size = 90511, upload-time = "2026-02-24T18:39:02.012Z" }, +] + [[package]] name = "langsmith" version = "0.7.14" @@ -717,7 +787,9 @@ name = "maicro" version = "0.1.0" source = { virtual = "." } dependencies = [ + { name = "langchain" }, { name = "langchain-community" }, + { name = "langchain-core" }, { name = "langchain-google-genai" }, { name = "langchain-qdrant" }, { name = "pydantic-settings" }, @@ -727,7 +799,9 @@ dependencies = [ [package.metadata] requires-dist = [ + { name = "langchain", specifier = ">=1.2.10" }, { name = "langchain-community", specifier = ">=0.4.1" }, + { name = "langchain-core", specifier = ">=1.2.17" }, { name = "langchain-google-genai", specifier = ">=4.2.1" }, { name = "langchain-qdrant", specifier = ">=1.1.0" }, { name = "pydantic-settings", specifier = ">=2.13.1" }, @@ -925,6 +999,36 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/6f/1c/f2a8d8a1b17514660a614ce5f7aac74b934e69f5abc2700cc7ced882a009/orjson-3.11.7-cp314-cp314-win_arm64.whl", hash = "sha256:4a2e9c5be347b937a2e0203866f12bba36082e89b402ddb9e927d5822e43088d", size = 126038, upload-time = "2026-02-02T15:38:47.703Z" }, ] +[[package]] +name = "ormsgpack" +version = "1.12.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/12/0c/f1761e21486942ab9bb6feaebc610fa074f7c5e496e6962dea5873348077/ormsgpack-1.12.2.tar.gz", hash = "sha256:944a2233640273bee67521795a73cf1e959538e0dfb7ac635505010455e53b33", size = 39031, upload-time = "2026-01-18T20:55:28.023Z" } +wheels = [ + { url = 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app/models/schemas.py | 4 ---- app/schemas/.gitkeep | 0 app/services/.gitkeep | 0 app/services/ai/.gitkeep | 0 app/services/ingestion_service.py | 4 ---- app/services/ingestors/.gitkeep | 0 app/services/knowledge/.gitkeep | 0 app/services/query_service.py | 4 ---- docker/.gitkeep | 0 docker/Dockerfile | 7 ------- docker/docker-compose.yml | 27 --------------------------- pyproject.toml | 18 ------------------ tests/.gitkeep | 1 - 24 files changed, 2 insertions(+), 143 deletions(-) delete mode 100644 .env.example delete mode 100644 app/agents/.gitkeep delete mode 100644 app/api/dependencies.py delete mode 100644 app/api/routes/health.py delete mode 100644 app/api/routes/ingest.py delete mode 100644 app/api/routes/query.py delete mode 100644 app/api/v1/__init__.py delete mode 100644 app/db/.gitkeep delete mode 100644 app/main.py delete mode 100644 app/models/.gitkeep delete mode 100644 app/models/schemas.py delete mode 100644 app/schemas/.gitkeep delete mode 100644 app/services/.gitkeep delete mode 100644 app/services/ai/.gitkeep delete mode 100644 app/services/ingestion_service.py delete mode 100644 app/services/ingestors/.gitkeep delete mode 100644 app/services/knowledge/.gitkeep delete mode 100644 app/services/query_service.py delete mode 100644 docker/.gitkeep delete mode 100644 docker/Dockerfile delete mode 100644 docker/docker-compose.yml delete mode 100644 pyproject.toml delete mode 100644 tests/.gitkeep diff --git a/.env.example b/.env.example deleted file mode 100644 index 8bcb18c..0000000 --- a/.env.example +++ /dev/null @@ -1,12 +0,0 @@ -# mAIcro Configuration -ORG_NAME="MicroClub-USTHB" -ORG_DESCRIPTION="The first Algerian Scientific Club, founded in 1985." -# generic core rules -CORE_RULES='["1. be respectful","2. be professional"]' - -# AI Provider -GEMINI_KEY="your-key-here" -MODEL_NAME="xxx" - -# Database -DATABASE_URL="postgresql://user:pass@localhost:5432/maicro" diff --git a/app/agents/.gitkeep b/app/agents/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/app/api/dependencies.py b/app/api/dependencies.py deleted file mode 100644 index 0809247..0000000 --- a/app/api/dependencies.py +++ /dev/null @@ -1,4 +0,0 @@ -# dependencies.py -# Shared dependencies for API endpoints - -# ...implementation... diff --git a/app/api/routes/health.py b/app/api/routes/health.py deleted file mode 100644 index 68128c4..0000000 --- a/app/api/routes/health.py +++ /dev/null @@ -1,10 +0,0 @@ -# health.py -# Health check endpoint - -from fastapi import APIRouter - -router = APIRouter() - -@router.get("/health") -def health_check(): - return {"status": "healthy"} diff --git a/app/api/routes/ingest.py b/app/api/routes/ingest.py deleted file mode 100644 index 0acf38e..0000000 --- a/app/api/routes/ingest.py +++ /dev/null @@ -1,15 +0,0 @@ -# ingest.py -# Endpoint for ingesting Discord messages/events - -from fastapi import APIRouter, Request - -router = APIRouter() - -@router.post("/ingest") -def ingest_event(request: Request): - """ - Accepts Discord event payload (new/edit/delete message) for monitored channels. - Classifies channel/author, extracts facts/events, upserts to DB, enqueues embedding. - """ - # ...implementation... - return {"status": "ok"} diff --git a/app/api/routes/query.py b/app/api/routes/query.py deleted file mode 100644 index 7192224..0000000 --- a/app/api/routes/query.py +++ /dev/null @@ -1,14 +0,0 @@ -# query.py -# Endpoint for answering questions from community context - -from fastapi import APIRouter, Request - -router = APIRouter() - -@router.post("/query") -def query_community(request: Request): - """ - Accepts a question, retrieves structured facts + semantic context, enforces trust hierarchy, returns contract answer. - """ - # ...implementation... - return {"answer": "...", "confidence": 0.0, "context_used": []} diff --git a/app/api/v1/__init__.py b/app/api/v1/__init__.py deleted file mode 100644 index 6c74409..0000000 --- a/app/api/v1/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -from fastapi import APIRouter - -api_router = APIRouter() - -# Placeholder for actual routes -# api_router.include_router(chat.router, prefix="/chat", tags=["chat"]) diff --git a/app/core/config.py b/app/core/config.py index 252f578..501263e 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -6,8 +6,7 @@ class Settings(BaseSettings): VERSION: str = "0.1.0" API_V1_STR: str = "/api/v1" - # Organization Settings (Reusable for any club/org) - ORG_NAME: str = "Community" + ORG_NAME: str = "MicroClub" ORG_DESCRIPTION: Optional[str] = "A generic organization using mAIcro" CORE_RULES: Optional[List[str]] = None # AI Settings @@ -17,7 +16,7 @@ class Settings(BaseSettings): # Vector Store QDRANT_URL: str = "http://localhost:6333" QDRANT_API_KEY: Optional[str] = None - COLLECTION_NAME: str = "maicro_knowledge" + COLLECTION_NAME: str = "microclub_knowledge" class Config: case_sensitive = True diff --git a/app/db/.gitkeep b/app/db/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/app/main.py b/app/main.py deleted file mode 100644 index 01866ef..0000000 --- a/app/main.py +++ /dev/null @@ -1,14 +0,0 @@ -from fastapi import FastAPI -from app.api.v1 import api_router - -app = FastAPI( - title="mAIcro", - description="Community Intelligence Service - Reusable AI Infrastructure", - version="0.1.0", -) - -@app.get("/health", tags=["health"]) -async def health_check(): - return {"status": "ok", "version": "0.1.0"} - -# app.include_router(api_router, prefix="/api/v1") diff --git a/app/models/.gitkeep b/app/models/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/app/models/schemas.py b/app/models/schemas.py deleted file mode 100644 index 4c9816f..0000000 --- a/app/models/schemas.py +++ /dev/null @@ -1,4 +0,0 @@ -# schemas.py -# Pydantic models for API and DB - -# ...implementation placeholder... diff --git a/app/schemas/.gitkeep b/app/schemas/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/app/services/.gitkeep b/app/services/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/app/services/ai/.gitkeep b/app/services/ai/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/app/services/ingestion_service.py b/app/services/ingestion_service.py deleted file mode 100644 index 3037bce..0000000 --- a/app/services/ingestion_service.py +++ /dev/null @@ -1,4 +0,0 @@ -# ingestion_service.py -# Service for ingesting and processing Discord events - -# ...implementation placeholder... diff --git a/app/services/ingestors/.gitkeep b/app/services/ingestors/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/app/services/knowledge/.gitkeep b/app/services/knowledge/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/app/services/query_service.py b/app/services/query_service.py deleted file mode 100644 index 478ebac..0000000 --- a/app/services/query_service.py +++ /dev/null @@ -1,4 +0,0 @@ -# query_service.py -# Service for answering questions from knowledge base - -# ...implementation placeholder... diff --git a/docker/.gitkeep b/docker/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/docker/Dockerfile b/docker/Dockerfile deleted file mode 100644 index d89c13c..0000000 --- a/docker/Dockerfile +++ /dev/null @@ -1,7 +0,0 @@ -# Dockerfile for mAIcro -FROM python:3.10-slim -WORKDIR /app -COPY requirements.txt ./ -RUN pip install --no-cache-dir -r requirements.txt -COPY . . -CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/docker/docker-compose.yml b/docker/docker-compose.yml deleted file mode 100644 index 4253262..0000000 --- a/docker/docker-compose.yml +++ /dev/null @@ -1,27 +0,0 @@ -version: "3.8" -services: - maicro: - build: . - env_file: - - ../.env.example - ports: - - "8000:8000" - depends_on: - - db - - vectordb - db: - image: postgres:14 - environment: - POSTGRES_USER: miacro - POSTGRES_PASSWORD: miacro - POSTGRES_DB: miacro - ports: - - "5432:5432" - vectordb: - image: ankane/pgvector - environment: - POSTGRES_USER: vector - POSTGRES_PASSWORD: vector - POSTGRES_DB: vector - ports: - - "5433:5432" diff --git a/pyproject.toml b/pyproject.toml deleted file mode 100644 index 36ff26d..0000000 --- a/pyproject.toml +++ /dev/null @@ -1,18 +0,0 @@ -[project] -name = "maicro" -version = "0.1.0" -description = "Community Intelligence Service" -authors = ["MicroClub-USTHB"] - -readme = "README.md" -requires-python = ">=3.13" -dependencies = [ - "langchain>=1.2.10", - "langchain-community>=0.4.1", - "langchain-core>=1.2.17", - "langchain-google-genai>=4.2.1", - "langchain-qdrant>=1.1.0", - "pydantic-settings>=2.13.1", - "python-dotenv>=1.2.2", - "qdrant-client>=1.17.0", -] diff --git a/tests/.gitkeep b/tests/.gitkeep deleted file mode 100644 index 02de518..0000000 --- a/tests/.gitkeep +++ /dev/null @@ -1 +0,0 @@ -# Placeholder to ensure tests/ directory is tracked. From 81aacffe1b2fd6ce2b7ae388229b366ce1617479 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 12:33:30 +0100 Subject: [PATCH 008/127] feat: Initialize project structure, integrate Google Gemini embeddings, and set up local Qdrant database. --- app/core/llm_provider.py | 2 +- local_qdrant/.lock | 1 + .../microclub_knowledge/storage.sqlite | Bin 0 -> 69632 bytes local_qdrant/meta.json | 1 + main.py | 6 + pyproject.toml | 17 ++ uv.lock | 192 +++++++++++++++++- 7 files changed, 209 insertions(+), 10 deletions(-) create mode 100644 local_qdrant/.lock create mode 100644 local_qdrant/collection/microclub_knowledge/storage.sqlite create mode 100644 local_qdrant/meta.json create mode 100644 main.py create mode 100644 pyproject.toml diff --git a/app/core/llm_provider.py b/app/core/llm_provider.py index 4871178..f69df2a 100644 --- a/app/core/llm_provider.py +++ b/app/core/llm_provider.py @@ -10,7 +10,7 @@ def get_llm(): def get_embeddings(): return 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"uritemplate" +version = "4.2.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/98/60/f174043244c5306c9988380d2cb10009f91563fc4b31293d27e17201af56/uritemplate-4.2.0.tar.gz", hash = "sha256:480c2ed180878955863323eea31b0ede668795de182617fef9c6ca09e6ec9d0e", size = 33267, upload-time = "2025-06-02T15:12:06.318Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a9/99/3ae339466c9183ea5b8ae87b34c0b897eda475d2aec2307cae60e5cd4f29/uritemplate-4.2.0-py3-none-any.whl", hash = "sha256:962201ba1c4edcab02e60f9a0d3821e82dfc5d2d6662a21abd533879bdb8a686", size = 11488, upload-time = "2025-06-02T15:12:03.405Z" }, +] + [[package]] name = "urllib3" version = "2.6.3" From 8f23b52b2892beb958e18b2833911a037a2aef09 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 12:35:58 +0100 Subject: [PATCH 009/127] refactor: replace `RetrievalQA` with a LangChain Expression Language (LCEL) chain in `ask.py`. --- ask.py | 20 +++++++++--------- .../microclub_knowledge/storage.sqlite | Bin 69632 -> 126976 bytes 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/ask.py b/ask.py index f0e09a2..f3a3b9a 100644 --- a/ask.py +++ b/ask.py @@ -1,8 +1,9 @@ import sys from app.core.vector_store import get_vector_store from app.core.llm_provider import get_llm -from langchain.chains import RetrievalQA -from langchain.prompts import PromptTemplate +from langchain_core.prompts import PromptTemplate +from langchain_core.runnables import RunnablePassthrough +from langchain_core.output_parsers import StrOutputParser from app.core.config import settings def ask_question(question: str): @@ -28,18 +29,17 @@ def ask_question(question: str): partial_variables={"org_name": settings.ORG_NAME} ) - # Use as retriever + # Runnable solution retriever = vector_store.as_retriever(search_kwargs={"k": 3}) - qa = RetrievalQA.from_chain_type( - llm=llm, - chain_type="stuff", - retriever=retriever, - chain_type_kwargs={"prompt": PROMPT} + chain = ( + {"context": retriever, "question": RunnablePassthrough()} + | PROMPT + | llm + | StrOutputParser() ) - response = qa.invoke(question) - return response["result"] + return chain.invoke(question) if __name__ == "__main__": if len(sys.argv) > 1: diff --git a/local_qdrant/collection/microclub_knowledge/storage.sqlite b/local_qdrant/collection/microclub_knowledge/storage.sqlite index 86d8bdf530459776b6f240f1680255600e2ee3c8..05604d587510c246a051c324469408486d5b1af6 100644 GIT binary patch delta 532 zcmZozz|!!5eS$PAD+2?A{6qzNM%Il9OZfSi`9A^$807hX^MB+2xLHu(5x+_dxEWF7#xl~`Q-X*=#FUu**FDod=FDoo3DkRVVh)sN5 zJga<-T#bB9|QSsHm6(;b7uyc}V`+1JzEE5onK52z~8G&0=N z)VC_IGBVfGBr?k>!#~`&$~P-4H!>@!5U;(;Ncr%N^ ze||=h%`6T;N^~ Date: Sat, 7 Mar 2026 12:37:51 +0100 Subject: [PATCH 010/127] feat: Update default AI model name from gemini-1.5-flash to gemini-2.0-flash. --- app/core/config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app/core/config.py b/app/core/config.py index 501263e..dc6acca 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -11,7 +11,7 @@ class Settings(BaseSettings): CORE_RULES: Optional[List[str]] = None # AI Settings GOOGLE_API_KEY: Optional[str] = None - MODEL_NAME: str = "gemini-1.5-flash" + MODEL_NAME: str = "gemini-2.0-flash" # Vector Store QDRANT_URL: str = "http://localhost:6333" From cd34045a6b256384b94ae25fd33129cf0056f37e Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 12:52:25 +0100 Subject: [PATCH 011/127] feat: Update default AI model to gemini-2.0-flash-lite. --- app/core/config.py | 2 +- .../microclub_knowledge/storage.sqlite | Bin 126976 -> 184320 bytes 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/app/core/config.py b/app/core/config.py index dc6acca..d0a8ed0 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -11,7 +11,7 @@ class Settings(BaseSettings): CORE_RULES: Optional[List[str]] = None # AI Settings GOOGLE_API_KEY: Optional[str] = None - MODEL_NAME: str = "gemini-2.0-flash" + MODEL_NAME: str = "gemini-2.0-flash-lite" # Vector Store QDRANT_URL: str = "http://localhost:6333" diff --git a/local_qdrant/collection/microclub_knowledge/storage.sqlite b/local_qdrant/collection/microclub_knowledge/storage.sqlite index 05604d587510c246a051c324469408486d5b1af6..6cfb0f5aa8db5ebb7e265bfecb56feb0c3b7e060 100644 GIT binary patch delta 514 zcmZp8z}~QcdxA78I|BoQ?nDK9M)r*fOZbIY`JV#?7<_+lCOck?agd&w8eug_n)vCxxm@=HB219!J9U-wWW-z>+<$lO3v z-;h8<-zvWh|B##vKX=cHD3{PmKNrVJAlo>{*~FG@vcA5UflE+UWC&21k*A@ri!Trd zR{7;dnnbyHWk-dFn)rqL8b*Z#8u+}bjRQ@FGm<~_VpwoNT-K0 wF~%w+CL5%h85tNQrC1u8m>L@=T3RNWBpIfd8kravnIxHSzrw_*&C93`0BHo81^@s6 delta 80 zcmV-W0I&bLQD2ap>D1poj5ACVwG0R^#Oqz?`Q5Ags10018k`w#XH@v|Wi$q$i$ m8I$xM5C{Yg=>QMA4(YQHAWaUDfRK}2E*69TF1P Date: Sat, 7 Mar 2026 13:50:48 +0100 Subject: [PATCH 012/127] feat: Enhance error handling in ask.py for LLM requests --- ask.py | 34 +++++++++++++++++++++++++++++++--- 1 file changed, 31 insertions(+), 3 deletions(-) diff --git a/ask.py b/ask.py index f3a3b9a..9041d58 100644 --- a/ask.py +++ b/ask.py @@ -6,6 +6,27 @@ from langchain_core.output_parsers import StrOutputParser from app.core.config import settings + +class AskError(Exception): + """Raised when asking the LLM fails with a user-actionable error.""" + + +def _format_llm_error(exc: Exception) -> str: + """Convert provider errors into short messages suitable for CLI users.""" + message = str(exc) + lowered = message.lower() + + if "resource_exhausted" in lowered or "quota" in lowered or "429" in lowered: + return ( + "Gemini API quota/rate limit was exceeded. " + "Check billing/quota, wait a bit, then retry." + ) + + if "api key" in lowered or "permission denied" in lowered or "unauthorized" in lowered: + return "Invalid API credentials. Verify GOOGLE_API_KEY in your .env file." + + return f"Request failed: {message}" + def ask_question(question: str): llm = get_llm() vector_store = get_vector_store() @@ -39,7 +60,10 @@ def ask_question(question: str): | StrOutputParser() ) - return chain.invoke(question) + try: + return chain.invoke(question) + except Exception as exc: + raise AskError(_format_llm_error(exc)) from exc if __name__ == "__main__": if len(sys.argv) > 1: @@ -51,5 +75,9 @@ def ask_question(question: str): print("Error: GOOGLE_API_KEY not found in .env. Please set it to run.") sys.exit(1) - answer = ask_question(question) - print(f"\nAnswer: {answer}") + try: + answer = ask_question(question) + print(f"\nAnswer: {answer}") + except AskError as exc: + print(f"Error: {exc}") + sys.exit(2) From c7a82401f6a85317a6e82289f369f9ac49ba1973 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 16:31:44 +0100 Subject: [PATCH 013/127] feat: Integrate Anthropic LLM, update dependencies, and clarify ingestion API key requirement. --- app/core/config.py | 7 ++- app/core/llm_provider.py | 37 +++++++++++++--- ask.py | 27 ++++++++++-- ingest.py | 5 ++- pyproject.toml | 1 + uv.lock | 95 ++++++++++++++++++++++++++++++++++++++++ 6 files changed, 161 insertions(+), 11 deletions(-) diff --git a/app/core/config.py b/app/core/config.py index d0a8ed0..b95df43 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -9,9 +9,14 @@ class Settings(BaseSettings): ORG_NAME: str = "MicroClub" ORG_DESCRIPTION: Optional[str] = "A generic organization using mAIcro" CORE_RULES: Optional[List[str]] = None + # AI Settings + LLM_PROVIDER: str = "google" GOOGLE_API_KEY: Optional[str] = None - MODEL_NAME: str = "gemini-2.0-flash-lite" + ANTHROPIC_API_KEY: Optional[str] = None + MODEL_NAME: Optional[str] = None + GOOGLE_MODEL_NAME: str = "gemini-2.0-flash-lite" + ANTHROPIC_MODEL_NAME: str = "claude-3-5-haiku-latest" # Vector Store QDRANT_URL: str = "http://localhost:6333" diff --git a/app/core/llm_provider.py b/app/core/llm_provider.py index f69df2a..7d0dd32 100644 --- a/app/core/llm_provider.py +++ b/app/core/llm_provider.py @@ -1,14 +1,41 @@ from langchain_google_genai import ChatGoogleGenerativeAI, GoogleGenerativeAIEmbeddings +from langchain_anthropic import ChatAnthropic from app.core.config import settings def get_llm(): - return ChatGoogleGenerativeAI( - model=settings.MODEL_NAME, - google_api_key=settings.GOOGLE_API_KEY, - temperature=0 - ) + provider = settings.LLM_PROVIDER.lower().strip() + + if provider == "anthropic": + if not settings.ANTHROPIC_API_KEY: + raise ValueError("ANTHROPIC_API_KEY not found in .env.") + + model_name = settings.MODEL_NAME or settings.ANTHROPIC_MODEL_NAME + return ChatAnthropic( + model=model_name, + anthropic_api_key=settings.ANTHROPIC_API_KEY, + temperature=0, + ) + + if provider == "google": + if not settings.GOOGLE_API_KEY: + raise ValueError("GOOGLE_API_KEY not found in .env.") + + model_name = settings.MODEL_NAME or settings.GOOGLE_MODEL_NAME + return ChatGoogleGenerativeAI( + model=model_name, + google_api_key=settings.GOOGLE_API_KEY, + temperature=0, + ) + + raise ValueError("Unsupported LLM_PROVIDER. Use 'google' or 'anthropic'.") def get_embeddings(): + if not settings.GOOGLE_API_KEY: + raise ValueError( + "GOOGLE_API_KEY not found in .env. " + "Current embedding backend uses Google embeddings." + ) + return GoogleGenerativeAIEmbeddings( model="models/gemini-embedding-001", google_api_key=settings.GOOGLE_API_KEY diff --git a/ask.py b/ask.py index 9041d58..321f7ad 100644 --- a/ask.py +++ b/ask.py @@ -18,12 +18,15 @@ def _format_llm_error(exc: Exception) -> str: if "resource_exhausted" in lowered or "quota" in lowered or "429" in lowered: return ( - "Gemini API quota/rate limit was exceeded. " - "Check billing/quota, wait a bit, then retry." + "LLM quota/rate limit was exceeded. " + "Check your provider billing/quota, wait a bit, then retry." ) if "api key" in lowered or "permission denied" in lowered or "unauthorized" in lowered: - return "Invalid API credentials. Verify GOOGLE_API_KEY in your .env file." + return ( + "Invalid API credentials. " + "Verify your provider key in .env (GOOGLE_API_KEY or ANTHROPIC_API_KEY)." + ) return f"Request failed: {message}" @@ -71,9 +74,25 @@ def ask_question(question: str): else: question = input("Ask mAIcro: ") - if not settings.GOOGLE_API_KEY: + provider = settings.LLM_PROVIDER.lower().strip() + if provider == "anthropic" and not settings.ANTHROPIC_API_KEY: + print("Error: ANTHROPIC_API_KEY not found in .env. Please set it to run.") + sys.exit(1) + + if provider == "google" and not settings.GOOGLE_API_KEY: print("Error: GOOGLE_API_KEY not found in .env. Please set it to run.") sys.exit(1) + + if provider not in {"google", "anthropic"}: + print("Error: LLM_PROVIDER must be either 'google' or 'anthropic'.") + sys.exit(1) + + if not settings.GOOGLE_API_KEY: + print( + "Error: GOOGLE_API_KEY not found in .env. 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comma-separated channel IDs into a list.""" + if not self.DISCORD_CHANNEL_IDS: + return [] + return [cid.strip() for cid in self.DISCORD_CHANNEL_IDS.split(",") if cid.strip()] + class Config: case_sensitive = True env_file = ".env" diff --git a/app/core/discord_fetcher.py b/app/core/discord_fetcher.py new file mode 100644 index 0000000..45f51ad --- /dev/null +++ b/app/core/discord_fetcher.py @@ -0,0 +1,68 @@ +""" +Discord channel message fetcher. + +Uses Discord's REST API directly via aiohttp — no bot framework needed. +Only requires a bot token with "Read Message History" permission. +""" + +import aiohttp +from typing import Optional + +DISCORD_API = "https://discord.com/api/v10" + + +async def fetch_channel_messages( + bot_token: str, + channel_id: str, + limit: int = 100, +) -> list[dict]: + """ + Fetch up to `limit` messages from a Discord channel. + + Handles pagination automatically to fetch beyond the 100-per-request cap. + Returns messages newest-first, each as a raw Discord message dict. + """ + headers = {"Authorization": f"Bot {bot_token}"} + all_messages: list[dict] = [] + before: Optional[str] = None + + async with aiohttp.ClientSession() as session: + while len(all_messages) < limit: + batch_size = min(100, limit - len(all_messages)) + url = f"{DISCORD_API}/channels/{channel_id}/messages?limit={batch_size}" + if before: + url += f"&before={before}" + + async with session.get(url, headers=headers) as resp: + if resp.status != 200: + body = await resp.text() + raise RuntimeError( + f"Discord API error {resp.status} for channel {channel_id}: {body}" + ) + batch = await resp.json() + + if not batch: + break + + all_messages.extend(batch) + before = batch[-1]["id"] + + if len(batch) < batch_size: + break + + return all_messages + + +async def fetch_all_channels( + bot_token: str, + channel_ids: list[str], + limit_per_channel: int = 100, +) -> dict[str, list[dict]]: + """ + Fetch messages from multiple channels. + Returns {channel_id: [messages]}. + """ + results: dict[str, list[dict]] = {} + for cid in channel_ids: + results[cid] = await fetch_channel_messages(bot_token, cid, limit_per_channel) + return results diff --git a/app/core/ingestion.py b/app/core/ingestion.py new file mode 100644 index 0000000..abc77f6 --- /dev/null +++ b/app/core/ingestion.py @@ -0,0 +1,139 @@ +""" +Ingestion pipeline — converts raw data into LangChain Documents +and pushes them into the Qdrant vector store. + +Supports two sources: + 1. JSON file (existing announcements.json format) + 2. Discord messages (from the discord_fetcher) +""" + +import json +import os +from datetime import datetime + +from langchain_core.documents import Document +from langchain_qdrant import QdrantVectorStore + +from app.core.config import settings +from app.core.llm_provider import get_embeddings + + +# --------------------------------------------------------------------------- +# Document converters +# --------------------------------------------------------------------------- + +def _docs_from_json_file(file_path: str) -> list[Document]: + """Load documents from a JSON file with [{title, content, date}, ...].""" + if not os.path.exists(file_path): + raise FileNotFoundError(f"Data file not found: {file_path}") + + with open(file_path, "r") as f: + data = json.load(f) + + docs: list[Document] = [] + for item in data: + content = f"{item['title']}\n{item['content']}" + metadata = { + "source": "json_file", + "file": file_path, + "date": item.get("date", ""), + "title": item["title"], + } + docs.append(Document(page_content=content, metadata=metadata)) + return docs + + +def _docs_from_discord_messages( + messages: list[dict], + channel_id: str, +) -> list[Document]: + """ + Convert raw Discord message dicts into LangChain Documents. + Skips empty messages and bot commands. + """ + docs: list[Document] = [] + for msg in messages: + content = (msg.get("content") or "").strip() + if not content: + continue + + author = msg.get("author", {}) + author_name = author.get("username", "unknown") + timestamp = msg.get("timestamp", "") + + # Build a readable page_content + page_content = f"[{author_name}] {content}" + + # Attach embeds text if present + for embed in msg.get("embeds", []): + if embed.get("title"): + page_content += f"\n{embed['title']}" + if embed.get("description"): + page_content += f"\n{embed['description']}" + + metadata = { + "source": "discord", + "channel_id": channel_id, + "message_id": msg.get("id", ""), + "author": author_name, + "timestamp": timestamp, + } + docs.append(Document(page_content=page_content, metadata=metadata)) + + return docs + + +# --------------------------------------------------------------------------- +# Ingestion entry points +# --------------------------------------------------------------------------- + +def ingest_documents(documents: list[Document]) -> int: + """ + Push a list of LangChain Documents into the Qdrant vector store. + Returns the number of documents ingested. + """ + if not documents: + return 0 + + QdrantVectorStore.from_documents( + documents=documents, + embedding=get_embeddings(), + path="local_qdrant", + collection_name=settings.COLLECTION_NAME, + ) + return len(documents) + + +def ingest_from_json(file_path: str) -> int: + """Ingest documents from a JSON file.""" + docs = _docs_from_json_file(file_path) + return ingest_documents(docs) + + +async def ingest_from_discord() -> dict: + """ + Fetch messages from all configured Discord channels and ingest them. + Returns a summary dict with per-channel counts. + """ + from app.core.discord_fetcher import fetch_channel_messages + + if not settings.DISCORD_BOT_TOKEN: + raise ValueError("DISCORD_BOT_TOKEN not set in environment.") + if not settings.discord_channel_id_list: + raise ValueError("DISCORD_CHANNEL_IDS not set in environment.") + + summary: dict[str, int] = {} + total = 0 + + for channel_id in settings.discord_channel_id_list: + messages = await fetch_channel_messages( + bot_token=settings.DISCORD_BOT_TOKEN, + channel_id=channel_id, + limit=200, + ) + docs = _docs_from_discord_messages(messages, channel_id) + count = ingest_documents(docs) + summary[channel_id] = count + total += count + + return {"channels": summary, "total_documents": total} From 944ad5f8c2cffe0fd0dc1f9712a822663168f18b Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 16:36:28 +0100 Subject: [PATCH 017/127] feat: Initialize FastAPI application and add API routes for health, asking questions, and data ingestion. --- app/api/routes.py | 111 ++++++++++++++++++++++++++++++++++++++++++++++ main.py | 29 ++++++++++-- 2 files changed, 137 insertions(+), 3 deletions(-) create mode 100644 app/api/routes.py diff --git a/app/api/routes.py b/app/api/routes.py new file mode 100644 index 0000000..9760571 --- /dev/null +++ b/app/api/routes.py @@ -0,0 +1,111 @@ +""" +mAIcro REST API routes. +""" + +from fastapi import APIRouter, HTTPException +from pydantic import BaseModel +from typing import Optional + +from app.core.config import settings + +router = APIRouter(prefix=settings.API_V1_STR) + + +# --------------------------------------------------------------------------- +# Request / Response models +# --------------------------------------------------------------------------- + +class AskRequest(BaseModel): + question: str + + +class AskResponse(BaseModel): + question: str + answer: str + + +class IngestFileRequest(BaseModel): + source: str = "file" # "file" + path: str = "data/announcements.json" + + +class IngestResponse(BaseModel): + status: str + documents_ingested: int + details: Optional[dict] = None + + +# --------------------------------------------------------------------------- +# Endpoints +# --------------------------------------------------------------------------- + +@router.get("/health") +async def health(): + return { + "status": "ok", + "service": settings.PROJECT_NAME, + "version": settings.VERSION, + "org": settings.ORG_NAME, + "llm_provider": settings.LLM_PROVIDER, + } + + +@router.post("/ask", response_model=AskResponse) +async def ask(req: AskRequest): + """Answer a question using the RAG chain.""" + from ask import ask_question, AskError + + if not req.question.strip(): + raise HTTPException(status_code=400, detail="Question cannot be empty.") + + try: + answer = ask_question(req.question) + except AskError as exc: + raise HTTPException(status_code=502, detail=str(exc)) + except Exception as exc: + raise HTTPException(status_code=500, detail=f"Internal error: {exc}") + + return AskResponse(question=req.question, answer=answer) + + +@router.post("/ingest", response_model=IngestResponse) +async def ingest_file(req: IngestFileRequest): + """Ingest documents from a local JSON file.""" + from app.core.ingestion import ingest_from_json + + try: + count = ingest_from_json(req.path) + except FileNotFoundError as exc: + raise HTTPException(status_code=404, detail=str(exc)) + except Exception as exc: + raise HTTPException(status_code=500, detail=f"Ingestion failed: {exc}") + + return IngestResponse(status="ok", documents_ingested=count) + + +@router.post("/ingest/discord", response_model=IngestResponse) +async def ingest_discord(): + """Fetch messages from Discord channels and ingest them.""" + from app.core.ingestion import ingest_from_discord + + if not settings.DISCORD_BOT_TOKEN: + raise HTTPException( + status_code=400, + detail="DISCORD_BOT_TOKEN not configured. Set it in your .env file.", + ) + if not settings.discord_channel_id_list: + raise HTTPException( + status_code=400, + detail="DISCORD_CHANNEL_IDS not configured. Set it in your .env file.", + ) + + try: + result = await ingest_from_discord() + except Exception as exc: + raise HTTPException(status_code=500, detail=f"Discord ingestion failed: {exc}") + + return IngestResponse( + status="ok", + documents_ingested=result["total_documents"], + details=result["channels"], + ) diff --git a/main.py b/main.py index ce5d626..fdb0021 100644 --- a/main.py +++ b/main.py @@ -1,6 +1,29 @@ -def main(): - print("Hello from maicro!") +""" +mAIcro — AI-powered knowledge service. + +Run with: + uvicorn main:app --reload + # or + uv run uvicorn main:app --reload +""" + +from fastapi import FastAPI +from app.core.config import settings +from app.api.routes import router + + +app = FastAPI( + title=settings.PROJECT_NAME, + version=settings.VERSION, + description=( + f"AI knowledge service for {settings.ORG_NAME}. " + "Ingest data from Discord or JSON files, then ask questions." + ), +) + +app.include_router(router) if __name__ == "__main__": - main() + import uvicorn + uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True) From 350ccacc0a08a5c69df521987ee3aefe5d21d610 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 16:38:17 +0100 Subject: [PATCH 018/127] Update microclub knowledge base data in local Qdrant storage. --- .../microclub_knowledge/storage.sqlite | Bin 184320 -> 241664 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/local_qdrant/collection/microclub_knowledge/storage.sqlite b/local_qdrant/collection/microclub_knowledge/storage.sqlite index 6cfb0f5aa8db5ebb7e265bfecb56feb0c3b7e060..43ddb7bf503f7e2498ed804ef4dc34b7905d2142 100644 GIT binary patch delta 772 zcmZozz}@hGZ-O){Cj$e6^+W}GM$U~1OZdgu`R@V+7_9k!^MB+2$p41_IsYU6yPFjS zj`6dbumfdu*(N`im*wN&y~x17n{P4iMZTAO;+y#t_VZ4T)e|#ti8S)7N;ZrP56bd& z53KMF3Cf8IaWsj{O3Cqa@yhhgO399L3CoGBa>~qcHnHWHtgjE$lx^yl>y{ar6_o2A z;*{fC6_gd_;%egS?v)W0?poy+9$4uc;+Gi(GytTD9jHlsy6zz+z2-%F?Thpnw=dFT zid)D6be;ZYD}!VFlUW?hKsNt&fWsa}*QPSq~pLBUAvly6h0E0mfh|M-z zO#pdt0oa4)o2?drcpJbxi_KOWK)eHBp5EEB+QH2LJ#7Es-EU0SB>Qqz@7W59a^?001oy`w#XH@ek||=d&RY zzYmds6_e^88W08!T>uZe4x Date: Sat, 7 Mar 2026 16:43:20 +0100 Subject: [PATCH 019/127] feat: add Groq as a new LLM provider with corresponding configuration and API key validation. --- app/core/config.py | 2 ++ app/core/llm_provider.py | 14 +++++++++++++- ask.py | 8 ++++++-- pyproject.toml | 1 + uv.lock | 32 ++++++++++++++++++++++++++++++++ 5 files changed, 54 insertions(+), 3 deletions(-) diff --git a/app/core/config.py b/app/core/config.py index 7a28bdf..e48b7a1 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -14,9 +14,11 @@ class Settings(BaseSettings): LLM_PROVIDER: str = "google" GOOGLE_API_KEY: Optional[str] = None ANTHROPIC_API_KEY: Optional[str] = None + GROQ_API_KEY: Optional[str] = None MODEL_NAME: Optional[str] = None GOOGLE_MODEL_NAME: str = "gemini-2.0-flash-lite" ANTHROPIC_MODEL_NAME: str = "claude-3-5-haiku-latest" + GROQ_MODEL_NAME: str = "llama-3.3-70b-versatile" # Vector Store QDRANT_URL: str = "http://localhost:6333" diff --git a/app/core/llm_provider.py b/app/core/llm_provider.py index 7d0dd32..bd8ece9 100644 --- a/app/core/llm_provider.py +++ b/app/core/llm_provider.py @@ -1,5 +1,6 @@ from langchain_google_genai import ChatGoogleGenerativeAI, GoogleGenerativeAIEmbeddings from langchain_anthropic import ChatAnthropic +from langchain_groq import ChatGroq from app.core.config import settings def get_llm(): @@ -27,7 +28,18 @@ def get_llm(): temperature=0, ) - raise ValueError("Unsupported LLM_PROVIDER. Use 'google' or 'anthropic'.") + if provider == "groq": + if not settings.GROQ_API_KEY: + raise ValueError("GROQ_API_KEY not found in .env.") + + model_name = settings.MODEL_NAME or settings.GROQ_MODEL_NAME + return ChatGroq( + model=model_name, + api_key=settings.GROQ_API_KEY, + temperature=0, + ) + + raise ValueError("Unsupported LLM_PROVIDER. Use 'google', 'anthropic', or 'groq'.") def get_embeddings(): if not settings.GOOGLE_API_KEY: diff --git a/ask.py b/ask.py index 321f7ad..04f2393 100644 --- a/ask.py +++ b/ask.py @@ -83,8 +83,12 @@ def ask_question(question: str): print("Error: GOOGLE_API_KEY not found in .env. Please set it to run.") sys.exit(1) - if provider not in {"google", "anthropic"}: - print("Error: LLM_PROVIDER must be either 'google' or 'anthropic'.") + if provider == "groq" and not settings.GROQ_API_KEY: + print("Error: GROQ_API_KEY not found in .env. Please set it to run.") + sys.exit(1) + + if provider not in {"google", "anthropic", "groq"}: + print("Error: LLM_PROVIDER must be 'google', 'anthropic', or 'groq'.") sys.exit(1) if not settings.GOOGLE_API_KEY: diff --git a/pyproject.toml b/pyproject.toml index 1901578..f2b0378 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,4 +18,5 @@ dependencies = [ "python-dotenv>=1.2.2", "qdrant-client>=1.17.0", "uvicorn[standard]>=0.30.0", + "langchain-groq>=1.1.2", ] diff --git a/uv.lock b/uv.lock index 8f389a3..39949dc 100644 --- a/uv.lock +++ b/uv.lock @@ -618,6 +618,23 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/29/4b/45d90626aef8e65336bed690106d1382f7a43665e2249017e9527df8823b/greenlet-3.3.2-cp314-cp314t-win_amd64.whl", hash = "sha256:c04c5e06ec3e022cbfe2cd4a846e1d4e50087444f875ff6d2c2ad8445495cf1a", size = 237086, upload-time = "2026-02-20T20:20:45.786Z" }, ] +[[package]] +name = "groq" +version = "0.37.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "anyio" }, + { name = "distro" }, + { name = "httpx" }, + { name = "pydantic" }, + { name = "sniffio" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e9/78/18948a9056e1509c87e10ab8316a90ecce87035fbd53342dffdf97f4de00/groq-0.37.1.tar.gz", hash = "sha256:7353d6dfb60834fd7aacbb86af106e2dc2aeaff6d0edd65fb2fd0f16bd39314c", size = 145289, upload-time = "2025-12-04T18:08:07.118Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5f/d6/645a081750e43f858b7d09dce5d8e1e76cf11e7e4bdba81252e04f78963d/groq-0.37.1-py3-none-any.whl", hash = "sha256:b49f8c8898c55eaec9f71f1342f3fcacc9560d67a08ce5f35fbfb84e8dacd3da", size = 137494, upload-time = "2025-12-04T18:08:05.801Z" }, +] + [[package]] name = "grpcio" version = "1.78.0" @@ -963,6 +980,19 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/ec/7e/46c5973bd8b10a5c4c8a77136cf536e658796380a17c740246074901b038/langchain_google_genai-4.2.1-py3-none-any.whl", hash = "sha256:a7735289cf94ca3a684d830e09196aac8f6e75e647e3a0a1c3c9dc534ceb985e", size = 66500, upload-time = "2026-02-19T19:29:18.002Z" }, ] +[[package]] +name = "langchain-groq" +version = "1.1.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "groq" }, + { name = "langchain-core" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/3d/d9/bbaa43598fcaffb669c5aea4088d92c77a426c46d25a013c21c979772a54/langchain_groq-1.1.2.tar.gz", hash = "sha256:67d1d752fb6590be517735947ec49b4ab9ed9191c7cca79f105d227775c67ae5", size = 178337, upload-time = "2026-02-02T15:57:29.435Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e8/11/71a35db3ed8ac2c7129eb69f0d590e4961be67ac84b6c470fc097d0dd7c8/langchain_groq-1.1.2-py3-none-any.whl", hash = "sha256:1f59f12233e8e6280c968bca6c40a7e5434e971e9a5387ad23c4c64ec776de10", size = 19450, upload-time = "2026-02-02T15:57:28.6Z" }, +] + [[package]] name = "langchain-qdrant" version = "1.1.0" @@ -1078,6 +1108,7 @@ dependencies = [ { name = "langchain-community" }, { name = "langchain-core" }, { name = "langchain-google-genai" }, + { name = "langchain-groq" }, { name = "langchain-qdrant" }, { name = "pydantic-settings" }, { name = "python-dotenv" }, @@ -1095,6 +1126,7 @@ requires-dist = [ { name = "langchain-community", specifier = ">=0.4.1" }, { name = "langchain-core", specifier = ">=1.2.17" }, { name = "langchain-google-genai", specifier = ">=4.2.1" }, + { name = "langchain-groq", specifier = ">=1.1.2" }, { name = "langchain-qdrant", specifier = ">=1.1.0" }, { name = "pydantic-settings", specifier = ">=2.13.1" }, { name = "python-dotenv", specifier = ">=1.2.2" }, From 35af3c169bb018ecc69dd6f41135ccc7c74a242b Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 16:59:14 +0100 Subject: [PATCH 020/127] fix: update model name and remove unused Discord configuration from settings --- app/core/config.py | 14 ++------------ pyproject.toml | 4 ---- 2 files changed, 2 insertions(+), 16 deletions(-) diff --git a/app/core/config.py b/app/core/config.py index e48b7a1..16eeca4 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -18,26 +18,16 @@ class Settings(BaseSettings): MODEL_NAME: Optional[str] = None GOOGLE_MODEL_NAME: str = "gemini-2.0-flash-lite" ANTHROPIC_MODEL_NAME: str = "claude-3-5-haiku-latest" - GROQ_MODEL_NAME: str = "llama-3.3-70b-versatile" + GROQ_MODEL_NAME: str = "llama-3.1-8b-instant" # Vector Store QDRANT_URL: str = "http://localhost:6333" QDRANT_API_KEY: Optional[str] = None COLLECTION_NAME: str = "microclub_knowledge" - # Discord - DISCORD_BOT_TOKEN: Optional[str] = None - DISCORD_CHANNEL_IDS: Optional[str] = None # comma-separated - - @property - def discord_channel_id_list(self) -> List[str]: - """Parse comma-separated channel IDs into a list.""" - if not self.DISCORD_CHANNEL_IDS: - return [] - return [cid.strip() for cid in self.DISCORD_CHANNEL_IDS.split(",") if cid.strip()] - class Config: case_sensitive = True env_file = ".env" + extra = "ignore" settings = Settings() diff --git a/pyproject.toml b/pyproject.toml index f2b0378..b6b96ca 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,8 +5,6 @@ description = "Add your description here" readme = "README.md" requires-python = ">=3.13" dependencies = [ - "aiohttp>=3.9.0", - "fastapi>=0.115.0", "google-generativeai>=0.8.6", "langchain-anthropic>=1.1.0", "langchain>=1.2.10", @@ -17,6 +15,4 @@ dependencies = [ "pydantic-settings>=2.13.1", "python-dotenv>=1.2.2", "qdrant-client>=1.17.0", - "uvicorn[standard]>=0.30.0", - "langchain-groq>=1.1.2", ] From 4479790b9904ec673ce98f282cee158cbb56710a Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 17:00:38 +0100 Subject: [PATCH 021/127] feat: add Discord bot token and channel ID configuration with parsing property --- app/core/config.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/app/core/config.py b/app/core/config.py index 16eeca4..4b039b9 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -20,6 +20,10 @@ class Settings(BaseSettings): ANTHROPIC_MODEL_NAME: str = "claude-3-5-haiku-latest" GROQ_MODEL_NAME: str = "llama-3.1-8b-instant" + # Discord ingestion + DISCORD_BOT_TOKEN: Optional[str] = None + DISCORD_CHANNEL_IDS: Optional[str] = None + # Vector Store QDRANT_URL: str = "http://localhost:6333" QDRANT_API_KEY: Optional[str] = None @@ -30,4 +34,12 @@ class Config: env_file = ".env" extra = "ignore" + @property + def discord_channel_id_list(self) -> List[str]: + """Parse comma-separated channel IDs from DISCORD_CHANNEL_IDS.""" + if not self.DISCORD_CHANNEL_IDS: + return [] + + return [cid.strip() for cid in self.DISCORD_CHANNEL_IDS.split(",") if cid.strip()] + settings = Settings() From 485d0d85cc67e7354dd4625502137bef7b34b7de Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 17:02:34 +0100 Subject: [PATCH 022/127] feat: enhance prompt templates for retrieval-augmented generation and improve context formatting --- app/core/prompt_template.py | 47 ++++++++++++++++++++++++----- ask.py | 59 ++++++++++++++++++++----------------- 2 files changed, 72 insertions(+), 34 deletions(-) diff --git a/app/core/prompt_template.py b/app/core/prompt_template.py index 955e9d4..d600e09 100644 --- a/app/core/prompt_template.py +++ b/app/core/prompt_template.py @@ -1,3 +1,4 @@ +from langchain_core.prompts import PromptTemplate from app.core.config import settings @@ -7,15 +8,40 @@ About {org_name}: {org_description} -Your Core Rules — you must follow these at all times: +Your core rules: {core_rules} Always ground your answers in verified information about {org_name}. \ -If you don't know something, say so clearly rather than speculating.\ +If you do not know something, say so clearly rather than speculating. """ +_RAG_TEMPLATE = """\ +{system_prompt} -def build_system_prompt() -> str: +You are answering a member question using retrieved context snippets. + +Response quality requirements: +1. Be concise, factual, and professional. +2. Use only facts supported by the provided context. +3. If context is insufficient, say exactly: "I don't have this information yet." +4. Do not invent dates, links, names, or procedures. + +Output format: +- Start with a direct answer in 1-3 sentences. +- If relevant, add a short "Details:" paragraph. +- If context is missing or ambiguous, add "Missing info:" with what is needed. + +Context snippets: +{context} + +User question: +{question} + +Final answer: +""" + + +def build_system_prompt() -> str: if settings.CORE_RULES: rules_block = "\n".join( f" {i + 1}. {rule}" for i, rule in enumerate(settings.CORE_RULES) @@ -23,18 +49,25 @@ def build_system_prompt() -> str: else: rules_block = "Be helpful, accurate, and professional." - prompt = _BASE_TEMPLATE.format( + return _BASE_TEMPLATE.format( org_name=settings.ORG_NAME, - org_description=settings.ORG_DESCRIPTION or f"An organization using mAIcro.", + org_description=settings.ORG_DESCRIPTION or "An organization using mAIcro.", core_rules=rules_block, ) - return prompt + +def build_rag_prompt_template() -> PromptTemplate: + """Return the reusable prompt template for retrieval-augmented answering.""" + return PromptTemplate( + template=_RAG_TEMPLATE, + input_variables=["context", "question"], + partial_variables={"system_prompt": build_system_prompt()}, + ) def preview_prompt() -> None: prompt = build_system_prompt() - separator = "─" * 60 + separator = "-" * 60 print(f"\n{separator}") print(" SYSTEM PROMPT PREVIEW") print(separator) diff --git a/ask.py b/ask.py index 04f2393..8811a29 100644 --- a/ask.py +++ b/ask.py @@ -1,10 +1,11 @@ import sys from app.core.vector_store import get_vector_store from app.core.llm_provider import get_llm -from langchain_core.prompts import PromptTemplate -from langchain_core.runnables import RunnablePassthrough +from langchain_core.documents import Document +from langchain_core.runnables import RunnableLambda, RunnablePassthrough from langchain_core.output_parsers import StrOutputParser from app.core.config import settings +from app.core.prompt_template import build_rag_prompt_template class AskError(Exception): @@ -30,39 +31,43 @@ def _format_llm_error(exc: Exception) -> str: return f"Request failed: {message}" + +def _format_context(docs: list[Document]) -> str: + """Render retrieved docs into concise, traceable snippets for the prompt.""" + if not docs: + return "No relevant context retrieved." + + chunks = [] + for i, doc in enumerate(docs, start=1): + text = " ".join((doc.page_content or "").split()) + text = text[:1200] + + metadata = doc.metadata or {} + source = metadata.get("source") or metadata.get("channel_id") or "unknown" + date = metadata.get("date") or metadata.get("timestamp") or "unknown" + + chunks.append(f"[{i}] source={source} | date={date}\n{text}") + + return "\n\n".join(chunks) + + def ask_question(question: str): llm = get_llm() vector_store = get_vector_store() - - # Simple RAG chain - prompt_template = """ - You are mAIcro, an AI assistant for {org_name}. - Answer the user question based ONLY on the provided context. - If the context doesn't contain the answer, say "I don't have this information yet." - - Context: - {context} - - Question: {question} - - Answer:""" - - PROMPT = PromptTemplate( - template=prompt_template, - input_variables=["context", "question"], - partial_variables={"org_name": settings.ORG_NAME} - ) - - # Runnable solution + + prompt = build_rag_prompt_template() retriever = vector_store.as_retriever(search_kwargs={"k": 3}) - + chain = ( - {"context": retriever, "question": RunnablePassthrough()} - | PROMPT + { + "context": retriever | RunnableLambda(_format_context), + "question": RunnablePassthrough(), + } + | prompt | llm | StrOutputParser() ) - + try: return chain.invoke(question) except Exception as exc: From aac3f68c20ae8219126a95e67371e69f86121849 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 17:06:42 +0100 Subject: [PATCH 023/127] feat: question-answering service implementation --- app/api/schemas.py | 25 +++++++++++++ app/services/__init__.py | 1 + app/services/qa_service.py | 76 ++++++++++++++++++++++++++++++++++++++ 3 files changed, 102 insertions(+) create mode 100644 app/api/schemas.py create mode 100644 app/services/__init__.py create mode 100644 app/services/qa_service.py diff --git a/app/api/schemas.py b/app/api/schemas.py new file mode 100644 index 0000000..50e8028 --- /dev/null +++ b/app/api/schemas.py @@ -0,0 +1,25 @@ +"""API request/response models.""" + +from typing import Optional + +from pydantic import BaseModel + + +class AskRequest(BaseModel): + question: str + + +class AskResponse(BaseModel): + question: str + answer: str + + +class IngestFileRequest(BaseModel): + source: str = "file" + path: str = "data/announcements.json" + + +class IngestResponse(BaseModel): + status: str + documents_ingested: int + details: Optional[dict] = None diff --git a/app/services/__init__.py b/app/services/__init__.py new file mode 100644 index 0000000..9415f6b --- /dev/null +++ b/app/services/__init__.py @@ -0,0 +1 @@ +"""Application service layer.""" diff --git a/app/services/qa_service.py b/app/services/qa_service.py new file mode 100644 index 0000000..bc915e2 --- /dev/null +++ b/app/services/qa_service.py @@ -0,0 +1,76 @@ +"""Question-answering service built on top of retrieval-augmented generation.""" + +from langchain_core.documents import Document +from langchain_core.output_parsers import StrOutputParser +from langchain_core.runnables import RunnableLambda, RunnablePassthrough + +from app.core.llm_provider import get_llm +from app.core.prompt_template import build_rag_prompt_template +from app.core.vector_store import get_vector_store + + +class AskError(Exception): + """Raised when asking the LLM fails with a user-actionable error.""" + + +def _format_llm_error(exc: Exception) -> str: + """Convert provider errors into short messages suitable for API/CLI users.""" + message = str(exc) + lowered = message.lower() + + if "resource_exhausted" in lowered or "quota" in lowered or "429" in lowered: + return ( + "LLM quota/rate limit was exceeded. " + "Check your provider billing/quota, wait a bit, then retry." + ) + + if "api key" in lowered or "permission denied" in lowered or "unauthorized" in lowered: + return ( + "Invalid API credentials. " + "Verify your provider key in .env (GOOGLE_API_KEY, ANTHROPIC_API_KEY, or GROQ_API_KEY)." + ) + + return f"Request failed: {message}" + + +def _format_context(docs: list[Document]) -> str: + """Render retrieved docs into concise, traceable snippets for the prompt.""" + if not docs: + return "No relevant context retrieved." + + chunks = [] + for i, doc in enumerate(docs, start=1): + text = " ".join((doc.page_content or "").split()) + text = text[:1200] + + metadata = doc.metadata or {} + source = metadata.get("source") or metadata.get("channel_id") or "unknown" + date = metadata.get("date") or metadata.get("timestamp") or "unknown" + + chunks.append(f"[{i}] source={source} | date={date}\\n{text}") + + return "\\n\\n".join(chunks) + + +def ask_question(question: str) -> str: + """Answer a user question from the configured RAG pipeline.""" + llm = get_llm() + vector_store = get_vector_store() + + prompt = build_rag_prompt_template() + retriever = vector_store.as_retriever(search_kwargs={"k": 3}) + + chain = ( + { + "context": retriever | RunnableLambda(_format_context), + "question": RunnablePassthrough(), + } + | prompt + | llm + | StrOutputParser() + ) + + try: + return chain.invoke(question) + except Exception as exc: + raise AskError(_format_llm_error(exc)) from exc From 668e65d4f9ef483df65e4ff6b00a43a4dac7fdec Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 17:06:49 +0100 Subject: [PATCH 024/127] refactor: remove unused request/response models and streamline imports in routes and ask modules --- app/api/routes.py | 30 ++----------------- ask.py | 74 ++--------------------------------------------- 2 files changed, 4 insertions(+), 100 deletions(-) diff --git a/app/api/routes.py b/app/api/routes.py index 9760571..c31f191 100644 --- a/app/api/routes.py +++ b/app/api/routes.py @@ -3,38 +3,14 @@ """ from fastapi import APIRouter, HTTPException -from pydantic import BaseModel -from typing import Optional +from app.api.schemas import AskRequest, AskResponse, IngestFileRequest, IngestResponse from app.core.config import settings +from app.services.qa_service import AskError, ask_question router = APIRouter(prefix=settings.API_V1_STR) -# --------------------------------------------------------------------------- -# Request / Response models -# --------------------------------------------------------------------------- - -class AskRequest(BaseModel): - question: str - - -class AskResponse(BaseModel): - question: str - answer: str - - -class IngestFileRequest(BaseModel): - source: str = "file" # "file" - path: str = "data/announcements.json" - - -class IngestResponse(BaseModel): - status: str - documents_ingested: int - details: Optional[dict] = None - - # --------------------------------------------------------------------------- # Endpoints # --------------------------------------------------------------------------- @@ -53,8 +29,6 @@ async def health(): @router.post("/ask", response_model=AskResponse) async def ask(req: AskRequest): """Answer a question using the RAG chain.""" - from ask import ask_question, AskError - if not req.question.strip(): raise HTTPException(status_code=400, detail="Question cannot be empty.") diff --git a/ask.py b/ask.py index 8811a29..d26d161 100644 --- a/ask.py +++ b/ask.py @@ -1,77 +1,7 @@ import sys -from app.core.vector_store import get_vector_store -from app.core.llm_provider import get_llm -from langchain_core.documents import Document -from langchain_core.runnables import RunnableLambda, RunnablePassthrough -from langchain_core.output_parsers import StrOutputParser -from app.core.config import settings -from app.core.prompt_template import build_rag_prompt_template - - -class AskError(Exception): - """Raised when asking the LLM fails with a user-actionable error.""" - - -def _format_llm_error(exc: Exception) -> str: - """Convert provider errors into short messages suitable for CLI users.""" - message = str(exc) - lowered = message.lower() - - if "resource_exhausted" in lowered or "quota" in lowered or "429" in lowered: - return ( - "LLM quota/rate limit was exceeded. " - "Check your provider billing/quota, wait a bit, then retry." - ) - - if "api key" in lowered or "permission denied" in lowered or "unauthorized" in lowered: - return ( - "Invalid API credentials. " - "Verify your provider key in .env (GOOGLE_API_KEY or ANTHROPIC_API_KEY)." - ) - - return f"Request failed: {message}" - -def _format_context(docs: list[Document]) -> str: - """Render retrieved docs into concise, traceable snippets for the prompt.""" - if not docs: - return "No relevant context retrieved." - - chunks = [] - for i, doc in enumerate(docs, start=1): - text = " ".join((doc.page_content or "").split()) - text = text[:1200] - - metadata = doc.metadata or {} - source = metadata.get("source") or metadata.get("channel_id") or "unknown" - date = metadata.get("date") or metadata.get("timestamp") or "unknown" - - chunks.append(f"[{i}] source={source} | date={date}\n{text}") - - return "\n\n".join(chunks) - - -def ask_question(question: str): - llm = get_llm() - vector_store = get_vector_store() - - prompt = build_rag_prompt_template() - retriever = vector_store.as_retriever(search_kwargs={"k": 3}) - - chain = ( - { - "context": retriever | RunnableLambda(_format_context), - "question": RunnablePassthrough(), - } - | prompt - | llm - | StrOutputParser() - ) - - try: - return chain.invoke(question) - except Exception as exc: - raise AskError(_format_llm_error(exc)) from exc +from app.core.config import settings +from app.services.qa_service import AskError, ask_question if __name__ == "__main__": if len(sys.argv) > 1: From 14e1a283bfde3f56e2a6061266fe9381d9fe98a6 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 17:24:22 +0100 Subject: [PATCH 025/127] fix: improve error handling for configuration issues and enhance fallback retrieval mechanism --- app/api/routes.py | 4 +- app/core/llm_provider.py | 29 +++++++++---- app/services/qa_service.py | 88 ++++++++++++++++++++++++++++++++++++-- 3 files changed, 107 insertions(+), 14 deletions(-) diff --git a/app/api/routes.py b/app/api/routes.py index c31f191..d73f0b2 100644 --- a/app/api/routes.py +++ b/app/api/routes.py @@ -6,7 +6,7 @@ from app.api.schemas import AskRequest, AskResponse, IngestFileRequest, IngestResponse from app.core.config import settings -from app.services.qa_service import AskError, ask_question +from app.services.qa_service import AskConfigError, AskError, ask_question router = APIRouter(prefix=settings.API_V1_STR) @@ -34,6 +34,8 @@ async def ask(req: AskRequest): try: answer = ask_question(req.question) + except AskConfigError as exc: + raise HTTPException(status_code=400, detail=str(exc)) except AskError as exc: raise HTTPException(status_code=502, detail=str(exc)) except Exception as exc: diff --git a/app/core/llm_provider.py b/app/core/llm_provider.py index bd8ece9..d026814 100644 --- a/app/core/llm_provider.py +++ b/app/core/llm_provider.py @@ -1,14 +1,18 @@ -from langchain_google_genai import ChatGoogleGenerativeAI, GoogleGenerativeAIEmbeddings -from langchain_anthropic import ChatAnthropic -from langchain_groq import ChatGroq from app.core.config import settings + +class ConfigurationError(ValueError): + """Raised when model providers are misconfigured.""" + + def get_llm(): provider = settings.LLM_PROVIDER.lower().strip() if provider == "anthropic": + from langchain_anthropic import ChatAnthropic + if not settings.ANTHROPIC_API_KEY: - raise ValueError("ANTHROPIC_API_KEY not found in .env.") + raise ConfigurationError("ANTHROPIC_API_KEY not found in .env.") model_name = settings.MODEL_NAME or settings.ANTHROPIC_MODEL_NAME return ChatAnthropic( @@ -18,8 +22,10 @@ def get_llm(): ) if provider == "google": + from langchain_google_genai import ChatGoogleGenerativeAI + if not settings.GOOGLE_API_KEY: - raise ValueError("GOOGLE_API_KEY not found in .env.") + raise ConfigurationError("GOOGLE_API_KEY not found in .env.") model_name = settings.MODEL_NAME or settings.GOOGLE_MODEL_NAME return ChatGoogleGenerativeAI( @@ -29,8 +35,10 @@ def get_llm(): ) if provider == "groq": + from langchain_groq import ChatGroq + if not settings.GROQ_API_KEY: - raise ValueError("GROQ_API_KEY not found in .env.") + raise ConfigurationError("GROQ_API_KEY not found in .env.") model_name = settings.MODEL_NAME or settings.GROQ_MODEL_NAME return ChatGroq( @@ -39,13 +47,16 @@ def get_llm(): temperature=0, ) - raise ValueError("Unsupported LLM_PROVIDER. Use 'google', 'anthropic', or 'groq'.") + raise ConfigurationError("Unsupported LLM_PROVIDER. Use 'google', 'anthropic', or 'groq'.") def get_embeddings(): + from langchain_google_genai import GoogleGenerativeAIEmbeddings + if not settings.GOOGLE_API_KEY: - raise ValueError( + raise ConfigurationError( "GOOGLE_API_KEY not found in .env. " - "Current embedding backend uses Google embeddings." + "Embeddings are currently configured to use Google embeddings even when " + "LLM_PROVIDER is set to another provider (for example, groq)." ) return GoogleGenerativeAIEmbeddings( diff --git a/app/services/qa_service.py b/app/services/qa_service.py index bc915e2..e2ce85e 100644 --- a/app/services/qa_service.py +++ b/app/services/qa_service.py @@ -1,10 +1,15 @@ """Question-answering service built on top of retrieval-augmented generation.""" +import json +import re +from functools import lru_cache +from pathlib import Path + from langchain_core.documents import Document from langchain_core.output_parsers import StrOutputParser from langchain_core.runnables import RunnableLambda, RunnablePassthrough -from app.core.llm_provider import get_llm +from app.core.llm_provider import ConfigurationError, get_llm from app.core.prompt_template import build_rag_prompt_template from app.core.vector_store import get_vector_store @@ -13,6 +18,70 @@ class AskError(Exception): """Raised when asking the LLM fails with a user-actionable error.""" +class AskConfigError(AskError): + """Raised when server-side AI providers are not configured correctly.""" + + +@lru_cache(maxsize=1) +def _load_local_announcements_docs() -> list[Document]: + """Load local announcements as a fallback knowledge source.""" + data_path = Path(__file__).resolve().parents[2] / "data" / "announcements.json" + if not data_path.exists(): + raise AskConfigError(f"Fallback data file not found: {data_path}") + + try: + raw = json.loads(data_path.read_text(encoding="utf-8")) + except json.JSONDecodeError as exc: + raise AskConfigError(f"Invalid JSON in fallback data file: {data_path}") from exc + + docs: list[Document] = [] + for item in raw: + if not isinstance(item, dict): + continue + title = str(item.get("title") or "Untitled") + content = str(item.get("content") or "") + date = str(item.get("date") or "unknown") + + docs.append( + Document( + page_content=f"{title}\n{content}".strip(), + metadata={ + "source": "data/announcements.json", + "date": date, + "title": title, + }, + ) + ) + + if not docs: + raise AskConfigError("Fallback data file contains no usable documents.") + + return docs + + +def _tokenize(text: str) -> set[str]: + return set(re.findall(r"[a-z0-9]+", text.lower())) + + +def _fallback_keyword_retrieve(question: str, k: int = 3) -> list[Document]: + """Very small lexical retriever used when vector embeddings are unavailable.""" + docs = _load_local_announcements_docs() + q_tokens = _tokenize(question) + + scored: list[tuple[int, Document]] = [] + for doc in docs: + doc_tokens = _tokenize(doc.page_content) + score = len(q_tokens & doc_tokens) + scored.append((score, doc)) + + scored.sort(key=lambda x: x[0], reverse=True) + top = [doc for score, doc in scored if score > 0][:k] + if top: + return top + + return [doc for _, doc in scored[:k]] + + def _format_llm_error(exc: Exception) -> str: """Convert provider errors into short messages suitable for API/CLI users.""" message = str(exc) @@ -54,11 +123,22 @@ def _format_context(docs: list[Document]) -> str: def ask_question(question: str) -> str: """Answer a user question from the configured RAG pipeline.""" - llm = get_llm() - vector_store = get_vector_store() + try: + llm = get_llm() + except ConfigurationError as exc: + raise AskConfigError(str(exc)) from exc + + try: + vector_store = get_vector_store() + retriever = vector_store.as_retriever(search_kwargs={"k": 3}) + except ConfigurationError as exc: + # Allow non-Google LLM setups to run using local lexical retrieval. + if "GOOGLE_API_KEY" in str(exc): + retriever = RunnableLambda(lambda q: _fallback_keyword_retrieve(q, k=3)) + else: + raise AskConfigError(str(exc)) from exc prompt = build_rag_prompt_template() - retriever = vector_store.as_retriever(search_kwargs={"k": 3}) chain = ( { From 3dc309c2a01e56519b9ba06152705733bc546e9d Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 17:32:16 +0100 Subject: [PATCH 026/127] fix: add missing import for lru_cache and clean up whitespace in vector_store.py --- app/core/vector_store.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/app/core/vector_store.py b/app/core/vector_store.py index 3396acf..9ad1271 100644 --- a/app/core/vector_store.py +++ b/app/core/vector_store.py @@ -1,12 +1,15 @@ +from functools import lru_cache + from langchain_qdrant import QdrantVectorStore -from qdrant_client import QdrantClient from app.core.config import settings from app.core.llm_provider import get_embeddings + +@lru_cache(maxsize=1) def get_vector_store(): # Use local path for persistent storage instead of URL to avoid needing a server for MVP path = "local_qdrant" - + return QdrantVectorStore.from_existing_collection( collection_name=settings.COLLECTION_NAME, embedding=get_embeddings(), From 01a211c62eaf87a448d0de3597ec285d10266b3a Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sat, 7 Mar 2026 17:32:37 +0100 Subject: [PATCH 027/127] fix: enhance error handling for vector store initialization and improve fallback retrieval mechanism --- app/services/qa_service.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/app/services/qa_service.py b/app/services/qa_service.py index e2ce85e..a0ca146 100644 --- a/app/services/qa_service.py +++ b/app/services/qa_service.py @@ -137,6 +137,13 @@ def ask_question(question: str) -> str: retriever = RunnableLambda(lambda q: _fallback_keyword_retrieve(q, k=3)) else: raise AskConfigError(str(exc)) from exc + except Exception as exc: + message = str(exc) + # Qdrant local mode uses a file lock and can fail when another process has opened it. + if "already accessed by another instance of Qdrant client" in message: + retriever = RunnableLambda(lambda q: _fallback_keyword_retrieve(q, k=3)) + else: + raise AskConfigError(f"Vector store initialization failed: {message}") from exc prompt = build_rag_prompt_template() From 3d9828486cd2131a97c8a8e581bd21863153b279 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 01:23:52 +0100 Subject: [PATCH 028/127] feat: add example environment configuration file --- .env.example | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 .env.example diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..5ceca42 --- /dev/null +++ b/.env.example @@ -0,0 +1,5 @@ +LLM_PROVIDER= +GROQ_API_KEY= +DISCORD_BOT_TOKEN= +DISCORD_CHANNEL_IDS= +GOOGLE_API_KEY= \ No newline at end of file From a64419e8cd08ac7d437b5582399d25997ec5c9e9 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 01:33:19 +0100 Subject: [PATCH 029/127] fix: update get_llm function to accept provider override and enhance timeout handling in ask service --- app/core/llm_provider.py | 4 +-- app/services/qa_service.py | 56 +++++++++++++++++++++++++++++++------- 2 files changed, 48 insertions(+), 12 deletions(-) diff --git a/app/core/llm_provider.py b/app/core/llm_provider.py index d026814..e66a213 100644 --- a/app/core/llm_provider.py +++ b/app/core/llm_provider.py @@ -5,8 +5,8 @@ class ConfigurationError(ValueError): """Raised when model providers are misconfigured.""" -def get_llm(): - provider = settings.LLM_PROVIDER.lower().strip() +def get_llm(provider_override: str | None = None): + provider = (provider_override or settings.LLM_PROVIDER).lower().strip() if provider == "anthropic": from langchain_anthropic import ChatAnthropic diff --git a/app/services/qa_service.py b/app/services/qa_service.py index a0ca146..9ac3505 100644 --- a/app/services/qa_service.py +++ b/app/services/qa_service.py @@ -2,6 +2,7 @@ import json import re +from concurrent.futures import ThreadPoolExecutor, TimeoutError as FutureTimeoutError from functools import lru_cache from pathlib import Path @@ -9,6 +10,7 @@ from langchain_core.output_parsers import StrOutputParser from langchain_core.runnables import RunnableLambda, RunnablePassthrough +from app.core.config import settings from app.core.llm_provider import ConfigurationError, get_llm from app.core.prompt_template import build_rag_prompt_template from app.core.vector_store import get_vector_store @@ -22,6 +24,22 @@ class AskConfigError(AskError): """Raised when server-side AI providers are not configured correctly.""" +_ASK_TIMEOUT_SECONDS = 30 + + +def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEOUT_SECONDS) -> str: + """Run model invocation with a hard timeout to avoid long-hanging requests.""" + with ThreadPoolExecutor(max_workers=1) as executor: + future = executor.submit(chain.invoke, question) + try: + return future.result(timeout=timeout_seconds) + except FutureTimeoutError as exc: + raise AskError( + "LLM request timed out after " + f"{timeout_seconds}s. Please retry or switch provider." + ) from exc + + @lru_cache(maxsize=1) def _load_local_announcements_docs() -> list[Document]: """Load local announcements as a fallback knowledge source.""" @@ -147,17 +165,35 @@ def ask_question(question: str) -> str: prompt = build_rag_prompt_template() - chain = ( - { - "context": retriever | RunnableLambda(_format_context), - "question": RunnablePassthrough(), - } - | prompt - | llm - | StrOutputParser() - ) + def _build_chain(model): + return ( + { + "context": retriever | RunnableLambda(_format_context), + "question": RunnablePassthrough(), + } + | prompt + | model + | StrOutputParser() + ) + + chain = _build_chain(llm) try: - return chain.invoke(question) + return _invoke_with_timeout(chain, question) + except AskError as exc: + # If Google is rate-limited, retry once with Groq when its key exists. + if ( + settings.LLM_PROVIDER.lower().strip() == "google" + and settings.GROQ_API_KEY + and "quota" in str(exc).lower() + ): + try: + fallback_llm = get_llm(provider_override="groq") + fallback_chain = _build_chain(fallback_llm) + return _invoke_with_timeout(fallback_chain, question) + except Exception as fallback_exc: + raise AskError(_format_llm_error(fallback_exc)) from fallback_exc + + raise except Exception as exc: raise AskError(_format_llm_error(exc)) from exc From 40a8044074a265fdc7473a937ffb53eba0530604 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 01:34:53 +0100 Subject: [PATCH 030/127] fix: improve timeout handling in _invoke_with_timeout and ensure executor shutdown --- app/services/qa_service.py | 28 ++++++++++++++++++---------- 1 file changed, 18 insertions(+), 10 deletions(-) diff --git a/app/services/qa_service.py b/app/services/qa_service.py index 9ac3505..775cdea 100644 --- a/app/services/qa_service.py +++ b/app/services/qa_service.py @@ -29,15 +29,23 @@ class AskConfigError(AskError): def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEOUT_SECONDS) -> str: """Run model invocation with a hard timeout to avoid long-hanging requests.""" - with ThreadPoolExecutor(max_workers=1) as executor: - future = executor.submit(chain.invoke, question) - try: - return future.result(timeout=timeout_seconds) - except FutureTimeoutError as exc: - raise AskError( - "LLM request timed out after " - f"{timeout_seconds}s. Please retry or switch provider." - ) from exc + executor = ThreadPoolExecutor(max_workers=1) + future = executor.submit(chain.invoke, question) + try: + return future.result(timeout=timeout_seconds) + except FutureTimeoutError as exc: + future.cancel() + raise AskError( + "LLM request timed out after " + f"{timeout_seconds}s. Please retry or switch provider." + ) from exc + finally: + executor.shutdown(wait=False, cancel_futures=True) + + +def _should_failover_to_groq(message: str) -> bool: + lowered = message.lower() + return any(token in lowered for token in ["quota", "rate limit", "429", "timed out"]) @lru_cache(maxsize=1) @@ -185,7 +193,7 @@ def _build_chain(model): if ( settings.LLM_PROVIDER.lower().strip() == "google" and settings.GROQ_API_KEY - and "quota" in str(exc).lower() + and _should_failover_to_groq(str(exc)) ): try: fallback_llm = get_llm(provider_override="groq") From d766f842ccf156e11c552598247ab8d1daa90563 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 01:59:25 +0100 Subject: [PATCH 031/127] fix: enhance error handling in Discord ingestion and improve response structure --- app/api/routes.py | 9 ++++++-- app/core/discord_fetcher.py | 18 ++++++++++++++-- app/core/ingestion.py | 42 ++++++++++++++++++++++++++----------- 3 files changed, 53 insertions(+), 16 deletions(-) diff --git a/app/api/routes.py b/app/api/routes.py index d73f0b2..ed9af46 100644 --- a/app/api/routes.py +++ b/app/api/routes.py @@ -80,8 +80,13 @@ async def ingest_discord(): except Exception as exc: raise HTTPException(status_code=500, detail=f"Discord ingestion failed: {exc}") + has_errors = bool(result.get("errors")) + return IngestResponse( - status="ok", + status="partial" if has_errors else "ok", documents_ingested=result["total_documents"], - details=result["channels"], + details={ + "channels": result.get("channels", {}), + "errors": result.get("errors", {}), + }, ) diff --git a/app/core/discord_fetcher.py b/app/core/discord_fetcher.py index 45f51ad..f85f1b0 100644 --- a/app/core/discord_fetcher.py +++ b/app/core/discord_fetcher.py @@ -11,6 +11,16 @@ DISCORD_API = "https://discord.com/api/v10" +class DiscordFetchError(RuntimeError): + """Raised when a Discord channel fetch fails.""" + + def __init__(self, channel_id: str, status_code: int | None, message: str): + super().__init__(message) + self.channel_id = channel_id + self.status_code = status_code + self.message = message + + async def fetch_channel_messages( bot_token: str, channel_id: str, @@ -36,8 +46,12 @@ async def fetch_channel_messages( async with session.get(url, headers=headers) as resp: if resp.status != 200: body = await resp.text() - raise RuntimeError( - f"Discord API error {resp.status} for channel {channel_id}: {body}" + raise DiscordFetchError( + channel_id=channel_id, + status_code=resp.status, + message=( + f"Discord API error {resp.status} for channel {channel_id}: {body}" + ), ) batch = await resp.json() diff --git a/app/core/ingestion.py b/app/core/ingestion.py index abc77f6..394c30d 100644 --- a/app/core/ingestion.py +++ b/app/core/ingestion.py @@ -115,7 +115,7 @@ async def ingest_from_discord() -> dict: Fetch messages from all configured Discord channels and ingest them. Returns a summary dict with per-channel counts. """ - from app.core.discord_fetcher import fetch_channel_messages + from app.core.discord_fetcher import DiscordFetchError, fetch_channel_messages if not settings.DISCORD_BOT_TOKEN: raise ValueError("DISCORD_BOT_TOKEN not set in environment.") @@ -123,17 +123,35 @@ async def ingest_from_discord() -> dict: raise ValueError("DISCORD_CHANNEL_IDS not set in environment.") summary: dict[str, int] = {} + errors: dict[str, str] = {} total = 0 for channel_id in settings.discord_channel_id_list: - messages = await fetch_channel_messages( - bot_token=settings.DISCORD_BOT_TOKEN, - channel_id=channel_id, - limit=200, - ) - docs = _docs_from_discord_messages(messages, channel_id) - count = ingest_documents(docs) - summary[channel_id] = count - total += count - - return {"channels": summary, "total_documents": total} + try: + messages = await fetch_channel_messages( + bot_token=settings.DISCORD_BOT_TOKEN, + channel_id=channel_id, + limit=200, + ) + docs = _docs_from_discord_messages(messages, channel_id) + count = ingest_documents(docs) + summary[channel_id] = count + total += count + except DiscordFetchError as exc: + if exc.status_code == 403: + errors[channel_id] = ( + "Missing access to channel. Ensure the bot is in the server and has " + "View Channel + Read Message History permissions." + ) + elif exc.status_code == 401: + errors[channel_id] = "Unauthorized bot token. Verify DISCORD_BOT_TOKEN." + else: + errors[channel_id] = exc.message + except Exception as exc: + errors[channel_id] = str(exc) + + return { + "channels": summary, + "errors": errors, + "total_documents": total, + } From c6b7fe7da82959907d83178f401b96fd10cae817 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 02:02:59 +0100 Subject: [PATCH 032/127] feat: add centralized FastAPI exception handlers for improved error management --- app/api/error_handlers.py | 35 +++++++++++++++++++++++++++++++++++ app/core/logging.py | 11 +++++++++++ 2 files changed, 46 insertions(+) create mode 100644 app/api/error_handlers.py create mode 100644 app/core/logging.py diff --git a/app/api/error_handlers.py b/app/api/error_handlers.py new file mode 100644 index 0000000..81da1b3 --- /dev/null +++ b/app/api/error_handlers.py @@ -0,0 +1,35 @@ +"""Centralized FastAPI exception handlers.""" + +import logging + +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse + +from app.services.qa_service import AskConfigError, AskError + +logger = logging.getLogger(__name__) + + +def register_exception_handlers(app: FastAPI) -> None: + """Register global exception handlers for the API.""" + + @app.exception_handler(AskConfigError) + async def handle_ask_config_error(_: Request, exc: AskConfigError) -> JSONResponse: + return JSONResponse(status_code=400, content={"detail": str(exc)}) + + @app.exception_handler(AskError) + async def handle_ask_error(_: Request, exc: AskError) -> JSONResponse: + return JSONResponse(status_code=502, content={"detail": str(exc)}) + + @app.exception_handler(FileNotFoundError) + async def handle_not_found(_: Request, exc: FileNotFoundError) -> JSONResponse: + return JSONResponse(status_code=404, content={"detail": str(exc)}) + + @app.exception_handler(ValueError) + async def handle_value_error(_: Request, exc: ValueError) -> JSONResponse: + return JSONResponse(status_code=400, content={"detail": str(exc)}) + + @app.exception_handler(Exception) + async def handle_unexpected_error(_: Request, exc: Exception) -> JSONResponse: + logger.exception("Unhandled API exception", exc_info=exc) + return JSONResponse(status_code=500, content={"detail": f"Internal error: {exc}"}) diff --git a/app/core/logging.py b/app/core/logging.py new file mode 100644 index 0000000..ddc999a --- /dev/null +++ b/app/core/logging.py @@ -0,0 +1,11 @@ +"""Application logging configuration.""" + +import logging + + +def configure_logging() -> None: + """Configure a simple, consistent log format for the service.""" + logging.basicConfig( + level=logging.INFO, + format="%(asctime)s | %(levelname)s | %(name)s | %(message)s", + ) From 5ab880c2b18af51d501df3ed46876e285a71be83 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 02:03:09 +0100 Subject: [PATCH 033/127] fix: configure logging and register exception handlers in main application --- main.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/main.py b/main.py index fdb0021..c56ec0a 100644 --- a/main.py +++ b/main.py @@ -8,10 +8,15 @@ """ from fastapi import FastAPI +from app.api.error_handlers import register_exception_handlers from app.core.config import settings +from app.core.logging import configure_logging from app.api.routes import router +configure_logging() + + app = FastAPI( title=settings.PROJECT_NAME, version=settings.VERSION, @@ -22,6 +27,7 @@ ) app.include_router(router) +register_exception_handlers(app) if __name__ == "__main__": From 3745398d5ed69fc396869ee95976474a200fea46 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 02:03:23 +0100 Subject: [PATCH 034/127] fix: remove unnecessary exception handling in ask and ingest endpoints for cleaner code --- app/api/routes.py | 23 ++++------------------- app/core/ingestion.py | 1 - 2 files changed, 4 insertions(+), 20 deletions(-) diff --git a/app/api/routes.py b/app/api/routes.py index ed9af46..6c7d30e 100644 --- a/app/api/routes.py +++ b/app/api/routes.py @@ -6,7 +6,7 @@ from app.api.schemas import AskRequest, AskResponse, IngestFileRequest, IngestResponse from app.core.config import settings -from app.services.qa_service import AskConfigError, AskError, ask_question +from app.services.qa_service import ask_question router = APIRouter(prefix=settings.API_V1_STR) @@ -32,14 +32,7 @@ async def ask(req: AskRequest): if not req.question.strip(): raise HTTPException(status_code=400, detail="Question cannot be empty.") - try: - answer = ask_question(req.question) - except AskConfigError as exc: - raise HTTPException(status_code=400, detail=str(exc)) - except AskError as exc: - raise HTTPException(status_code=502, detail=str(exc)) - except Exception as exc: - raise HTTPException(status_code=500, detail=f"Internal error: {exc}") + answer = ask_question(req.question) return AskResponse(question=req.question, answer=answer) @@ -49,12 +42,7 @@ async def ingest_file(req: IngestFileRequest): """Ingest documents from a local JSON file.""" from app.core.ingestion import ingest_from_json - try: - count = ingest_from_json(req.path) - except FileNotFoundError as exc: - raise HTTPException(status_code=404, detail=str(exc)) - except Exception as exc: - raise HTTPException(status_code=500, detail=f"Ingestion failed: {exc}") + count = ingest_from_json(req.path) return IngestResponse(status="ok", documents_ingested=count) @@ -75,10 +63,7 @@ async def ingest_discord(): detail="DISCORD_CHANNEL_IDS not configured. Set it in your .env file.", ) - try: - result = await ingest_from_discord() - except Exception as exc: - raise HTTPException(status_code=500, detail=f"Discord ingestion failed: {exc}") + result = await ingest_from_discord() has_errors = bool(result.get("errors")) diff --git a/app/core/ingestion.py b/app/core/ingestion.py index 394c30d..c91b2c0 100644 --- a/app/core/ingestion.py +++ b/app/core/ingestion.py @@ -9,7 +9,6 @@ import json import os -from datetime import datetime from langchain_core.documents import Document from langchain_qdrant import QdrantVectorStore From efe2d8fe5430b40dd07b710bfca3a7b3c53efadf Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 02:04:16 +0100 Subject: [PATCH 035/127] Refactor code structure for improved readability and maintainability --- README.md | 11 + requirements.txt | 1122 ---------------------------------------------- 2 files changed, 11 insertions(+), 1122 deletions(-) delete mode 100644 requirements.txt diff --git a/README.md b/README.md index 7934fff..52408a9 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,16 @@ # mAIcro: Open Source AI Service +## Setup (uv Only) + +This project uses `uv` as the single dependency manager. + +```bash +uv sync +uv run uvicorn main:app --reload +``` + +Do not use `pip install -r requirements.txt`. + ## Overview **mAIcro** is an open-source AI service designed to help organizations centralize information and answer questions based on their internal data. diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 67b028d..0000000 --- a/requirements.txt +++ /dev/null @@ -1,1122 +0,0 @@ -# This file was autogenerated by uv via the following command: -# uv export --format requirements.txt -aiohappyeyeballs==2.6.1 \ - --hash=sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558 \ - --hash=sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8 - # via aiohttp -aiohttp==3.13.3 \ - --hash=sha256:042e9e0bcb5fba81886c8b4fbb9a09d6b8a00245fd8d88e4d989c1f96c74164c \ - --hash=sha256:05861afbbec40650d8a07ea324367cb93e9e8cc7762e04dd4405df99fa65159c \ - --hash=sha256:0add0900ff220d1d5c5ebbf99ed88b0c1bbf87aa7e4262300ed1376a6b13414f \ - --hash=sha256:10b47b7ba335d2e9b1239fa571131a87e2d8ec96b333e68b2a305e7a98b0bae2 \ - --hash=sha256:1449ceddcdbcf2e0446957863af03ebaaa03f94c090f945411b61269e2cb5daf \ - --hash=sha256:2712039939ec963c237286113c68dbad80a82a4281543f3abf766d9d73228998 \ - --hash=sha256:2e41b18a58da1e474a057b3d35248d8320029f61d70a37629535b16a0c8f3767 \ - --hash=sha256:2eb752b102b12a76ca02dff751a801f028b4ffbbc478840b473597fc91a9ed43 \ - --hash=sha256:2fc82186fadc4a8316768d61f3722c230e2c1dcab4200d52d2ebdf2482e47592 \ - --hash=sha256:2fff83cfc93f18f215896e3a190e8e5cb413ce01553901aca925176e7568963a \ - --hash=sha256:34749271508078b261c4abb1767d42b8d0c0cc9449c73a4df494777dc55f0687 \ - --hash=sha256:34bac00a67a812570d4a460447e1e9e06fae622946955f939051e7cc895cfab8 \ - --hash=sha256:37239e9f9a7ea9ac5bf6b92b0260b01f8a22281996da609206a84df860bc1261 \ - --hash=sha256:3d9908a48eb7416dc1f4524e69f1d32e5d90e3981e4e37eb0aa1cd18f9cfa2a4 \ - --hash=sha256:3dd4dce1c718e38081c8f35f323209d4c1df7d4db4bab1b5c88a6b4d12b74587 \ - --hash=sha256:4021b51936308aeea0367b8f006dc999ca02bc118a0cc78c303f50a2ff6afb91 \ - --hash=sha256:425c126c0dc43861e22cb1c14ba4c8e45d09516d0a3ae0a3f7494b79f5f233a3 \ - --hash=sha256:44531a36aa2264a1860089ffd4dce7baf875ee5a6079d5fb42e261c704ef7344 \ - --hash=sha256:48e377758516d262bde50c2584fc6c578af272559c409eecbdd2bae1601184d6 \ - --hash=sha256:49a03727c1bba9a97d3e93c9f93ca03a57300f484b6e935463099841261195d3 \ - --hash=sha256:568f416a4072fbfae453dcf9a99194bbb8bdeab718e08ee13dfa2ba0e4bebf29 \ - --hash=sha256:5dff64413671b0d3e7d5918ea490bdccb97a4ad29b3f311ed423200b2203e01c \ - --hash=sha256:5e1d8c8b8f1d91cd08d8f4a3c2b067bfca6ec043d3ff36de0f3a715feeedf926 \ - --hash=sha256:5f8ca7f2bb6ba8348a3614c7918cc4bb73268c5ac2a207576b7afea19d3d9f64 \ - --hash=sha256:693781c45a4033d31d4187d2436f5ac701e7bbfe5df40d917736108c1cc7436e \ - --hash=sha256:697753042d57f4bf7122cab985bf15d0cef23c770864580f5af4f52023a56bd6 \ - --hash=sha256:6de499a1a44e7de70735d0b39f67c8f25eb3d91eb3103be99ca0fa882cdd987d \ - --hash=sha256:6fc0e2337d1a4c3e6acafda6a78a39d4c14caea625124817420abceed36e2415 \ - --hash=sha256:7b5e8fe4de30df199155baaf64f2fcd604f4c678ed20910db8e2c66dc4b11603 \ - --hash=sha256:7bfdc049127717581866fa4708791220970ce291c23e28ccf3922c700740fdc0 \ - --hash=sha256:7f9120f7093c2a32d9647abcaf21e6ad275b4fbec5b55969f978b1a97c7c86bf \ - --hash=sha256:8057c98e0c8472d8846b9c79f56766bcc57e3e8ac7bfd510482332366c56c591 \ - --hash=sha256:82611aeec80eb144416956ec85b6ca45a64d76429c1ed46ae1b5f86c6e0c9a26 \ - --hash=sha256:8542f41a62bcc58fc7f11cf7c90e0ec324ce44950003feb70640fc2a9092c32a \ - --hash=sha256:87b9aab6d6ed88235aa2970294f496ff1a1f9adcd724d800e9b952395a80ffd9 \ - --hash=sha256:90455115e5da1c3c51ab619ac57f877da8fd6d73c05aacd125c5ae9819582aba \ - --hash=sha256:90751b8eed69435bac9ff4e3d2f6b3af1f57e37ecb0fbeee59c0174c9e2d41df \ - --hash=sha256:9bf9f7a65e7aa20dd764151fb3d616c81088f91f8df39c3893a536e279b4b984 \ - --hash=sha256:a19884d2ee70b06d9204b2727a7b9f983d0c684c650254679e716b0b77920632 \ - --hash=sha256:a1e53262fd202e4b40b70c3aff944a8155059beedc8a89bba9dc1f9ef06a1b56 \ - --hash=sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88 \ - --hash=sha256:add1da70de90a2569c5e15249ff76a631ccacfe198375eead4aadf3b8dc849dc \ - --hash=sha256:b0d95340658b9d2f11d9697f59b3814a9d3bb4b7a7c20b131df4bcef464037c0 \ - --hash=sha256:b556c85915d8efaed322bf1bdae9486aa0f3f764195a0fb6ee962e5c71ef5ce1 \ - --hash=sha256:b928f30fe49574253644b1ca44b1b8adbd903aa0da4b9054a6c20fc7f4092a25 \ - --hash=sha256:bbe7d4cecacb439e2e2a8a1a7b935c25b812af7a5fd26503a66dadf428e79ec1 \ - --hash=sha256:c685f2d80bb67ca8c3837823ad76196b3694b0159d232206d1e461d3d434666f \ - --hash=sha256:d60ac9663f44168038586cab2157e122e46bdef09e9368b37f2d82d354c23f72 \ - --hash=sha256:ea37047c6b367fd4bd632bff8077449b8fa034b69e812a18e0132a00fae6e808 \ - --hash=sha256:f76c1e3fe7d7c8afad7ed193f89a292e1999608170dcc9751a7462a87dfd5bc0 \ - --hash=sha256:fc290605db2a917f6e81b0e1e0796469871f5af381ce15c604a3c5c7e51cb730 \ - --hash=sha256:fc353029f176fd2b3ec6cfc71be166aba1936fe5d73dd1992ce289ca6647a9aa - # via langchain-community -aiosignal==1.4.0 \ - --hash=sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e \ - --hash=sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7 - # via aiohttp -annotated-types==0.7.0 \ - --hash=sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53 \ - --hash=sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89 - # via pydantic -anyio==4.12.1 \ - --hash=sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703 \ - --hash=sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c - # via - # google-genai - # httpx -attrs==25.4.0 \ - --hash=sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11 \ - --hash=sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373 - # via aiohttp -certifi==2026.2.25 \ - --hash=sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa \ - --hash=sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7 - # via - # httpcore - # httpx - # requests -cffi==2.0.0 ; platform_python_implementation != 'PyPy' \ - --hash=sha256:00bdf7acc5f795150faa6957054fbbca2439db2f775ce831222b66f192f03beb \ - --hash=sha256:07b271772c100085dd28b74fa0cd81c8fb1a3ba18b21e03d7c27f3436a10606b \ - --hash=sha256:087067fa8953339c723661eda6b54bc98c5625757ea62e95eb4898ad5e776e9f \ - --hash=sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9 \ - --hash=sha256:12873ca6cb9b0f0d3a0da705d6086fe911591737a59f28b7936bdfed27c0d47c \ - --hash=sha256:19f705ada2530c1167abacb171925dd886168931e0a7b78f5bffcae5c6b5be75 \ - --hash=sha256:1fc9ea04857caf665289b7a75923f2c6ed559b8298a1b8c49e59f7dd95c8481e \ - --hash=sha256:203a48d1fb583fc7d78a4c6655692963b860a417c0528492a6bc21f1aaefab25 \ - --hash=sha256:24b6f81f1983e6df8db3adc38562c83f7d4a0c36162885ec7f7b77c7dcbec97b \ - --hash=sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91 \ - --hash=sha256:28a3a209b96630bca57cce802da70c266eb08c6e97e5afd61a75611ee6c64592 \ - --hash=sha256:38100abb9d1b1435bc4cc340bb4489635dc2f0da7456590877030c9b3d40b0c1 \ - --hash=sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529 \ - --hash=sha256:45d5e886156860dc35862657e1494b9bae8dfa63bf56796f2fb56e1679fc0bca \ - --hash=sha256:6c6c373cfc5c83a975506110d17457138c8c63016b563cc9ed6e056a82f13ce4 \ - --hash=sha256:6d50360be4546678fc1b79ffe7a66265e28667840010348dd69a314145807a1b \ - --hash=sha256:737fe7d37e1a1bffe70bd5754ea763a62a066dc5913ca57e957824b72a85e205 \ - --hash=sha256:74a03b9698e198d47562765773b4a8309919089150a0bb17d829ad7b44b60d27 \ - --hash=sha256:7553fb2090d71822f02c629afe6042c299edf91ba1bf94951165613553984512 \ - --hash=sha256:7a66c7204d8869299919db4d5069a82f1561581af12b11b3c9f48c584eb8743d \ - --hash=sha256:7cc09976e8b56f8cebd752f7113ad07752461f48a58cbba644139015ac24954c \ - --hash=sha256:92b68146a71df78564e4ef48af17551a5ddd142e5190cdf2c5624d0c3ff5b2e8 \ - --hash=sha256:9a67fc9e8eb39039280526379fb3a70023d77caec1852002b4da7e8b270c4dd9 \ - --hash=sha256:afb8db5439b81cf9c9d0c80404b60c3cc9c3add93e114dcae767f1477cb53775 \ - --hash=sha256:b1e74d11748e7e98e2f426ab176d4ed720a64412b6a15054378afdb71e0f37dc \ - --hash=sha256:c654de545946e0db659b3400168c9ad31b5d29593291482c43e3564effbcee13 \ - --hash=sha256:c8d3b5532fc71b7a77c09192b4a5a200ea992702734a2e9279a37f2478236f26 \ - --hash=sha256:d48a880098c96020b02d5a1f7d9251308510ce8858940e6fa99ece33f610838b \ - --hash=sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6 \ - --hash=sha256:d9b29c1f0ae438d5ee9acb31cadee00a58c46cc9c0b2f9038c6b0b3470877a8c \ - --hash=sha256:d9b97165e8aed9272a6bb17c01e3cc5871a594a446ebedc996e2397a1c1ea8ef \ - --hash=sha256:dbd5c7a25a7cb98f5ca55d258b103a2054f859a46ae11aaf23134f9cc0d356ad \ - --hash=sha256:dd4f05f54a52fb558f1ba9f528228066954fee3ebe629fc1660d874d040ae5a3 \ - --hash=sha256:f93fd8e5c8c0a4aa1f424d6173f14a892044054871c771f8566e4008eaa359d2 \ - --hash=sha256:fc33c5141b55ed366cfaad382df24fe7dcbc686de5be719b207bb248e3053dc5 - # via cryptography -charset-normalizer==3.4.5 \ - --hash=sha256:01a1ed54b953303ca7e310fafe0fe347aab348bd81834a0bcd602eb538f89d66 \ - --hash=sha256:0625665e4ebdddb553ab185de5db7054393af8879fb0c87bd5690d14379d6819 \ - --hash=sha256:1088345bcc93c58d8d8f3d783eca4a6e7a7752bbff26c3eee7e73c597c191c2e \ - --hash=sha256:165c7b21d19365464e8f70e5ce5e12524c58b48c78c1f5a57524603c1ab003f8 \ - --hash=sha256:28269983f25a4da0425743d0d257a2d6921ea7d9b83599d4039486ec5b9f911d \ - --hash=sha256:2da4eedcb6338e2321e831a0165759c0c620e37f8cd044a263ff67493be8ffb3 \ - --hash=sha256:30a2b1a48478c3428d047ed9690d57c23038dac838a87ad624c85c0a78ebeb39 \ - --hash=sha256:4481e6da1830c8a1cc0b746b47f603b653dadb690bcd851d039ffaefe70533aa \ - --hash=sha256:4cd966c2559f501c6fd69294d082c2934c8dd4719deb32c22961a5ac6db0df1d \ - --hash=sha256:597d10dec876923e5c59e48dbd366e852eacb2b806029491d307daea6b917d7c \ - --hash=sha256:5cffde4032a197bd3b42fd0b9509ec60fb70918d6970e4cc773f20fc9180ca67 \ - --hash=sha256:65a126fb4b070d05340a84fc709dd9e7c75d9b063b610ece8a60197a291d0adf \ - --hash=sha256:8197abe5ca1ffb7d91e78360f915eef5addff270f8a71c1fc5be24a56f3e4873 \ - --hash=sha256:93b3b2cc5cf1b8743660ce77a4f45f3f6d1172068207c1defc779a36eea6bb36 \ - --hash=sha256:95adae7b6c42a6c5b5b559b1a99149f090a57128155daeea91732c8d970d8644 \ - --hash=sha256:97ab7787092eb9b50fb47fa04f24c75b768a606af1bcba1957f07f128a7219e4 \ - --hash=sha256:9db5e3fcdcee89a78c04dffb3fe33c79f77bd741a624946db2591c81b2fc85b0 \ - --hash=sha256:a2aecdb364b8a1802afdc7f9327d55dad5366bc97d8502d0f5854e50712dbc5f \ - --hash=sha256:a66aa5022bf81ab4b1bebfb009db4fd68e0c6d4307a1ce5ef6a26e5878dfc9e4 \ - --hash=sha256:ac59c15e3f1465f722607800c68713f9fbc2f672b9eb649fe831da4019ae9b23 \ - --hash=sha256:b2d37d78297b39a9eb9eb92c0f6df98c706467282055419df141389b23f93362 \ - --hash=sha256:c23eb3263356d94858655b3e63f85ac5d50970c6e8febcdde7830209139cc37d \ - --hash=sha256:c5af897b45fa606b12464ccbe0014bbf8c09191e0a66aab6aa9d5cf6e77e0c94 \ - --hash=sha256:c7a80a9242963416bd81f99349d5f3fce1843c303bd404f204918b6d75a75fd6 \ - --hash=sha256:d27ce22ec453564770d29d03a9506d449efbb9fa13c00842262b2f6801c48cce \ - --hash=sha256:d5e52d127045d6ae01a1e821acfad2f3a1866c54d0e837828538fabe8d9d1bd6 \ - --hash=sha256:d77f97e515688bd615c1d1f795d540f32542d514242067adcb8ef532504cb9ee \ - --hash=sha256:d8ed79b8f6372ca4254955005830fd61c1ccdd8c0fac6603e2c145c61dd95db6 \ - --hash=sha256:e37bd100d2c5d3ba35db9c7c5ba5a9228cbcffe5c4778dc824b164e5257813d7 \ - --hash=sha256:e51ae7d81c825761d941962450f50d041db028b7278e7b08930b4541b3e45cb9 \ - --hash=sha256:e6302ca4ae283deb0af68d2fbf467474b8b6aedcd3dab4db187e07f94c109763 \ - --hash=sha256:e71bbb595973622b817c042bd943c3f3667e9c9983ce3d205f973f486fec98a7 \ - --hash=sha256:ee57b926940ba00bca7ba7041e665cc956e55ef482f851b9b65acb20d867e7a2 \ - --hash=sha256:f1d725b754e967e648046f00c4facc42d414840f5ccc670c5670f59f83693e4f - # via requests -cryptography==46.0.5 \ - --hash=sha256:02f547fce831f5096c9a567fd41bc12ca8f11df260959ecc7c3202555cc47a72 \ - --hash=sha256:039917b0dc418bb9f6edce8a906572d69e74bd330b0b3fea4f79dab7f8ddd235 \ - --hash=sha256:1abfdb89b41c3be0365328a410baa9df3ff8a9110fb75e7b52e66803ddabc9a9 \ - --hash=sha256:351695ada9ea9618b3500b490ad54c739860883df6c1f555e088eaf25b1bbaad \ - --hash=sha256:38946c54b16c885c72c4f59846be9743d699eee2b69b6988e0a00a01f46a61a4 \ - --hash=sha256:3ce58ba46e1bc2aac4f7d9290223cead56743fa6ab94a5d53292ffaac6a91614 \ - --hash=sha256:3ee190460e2fbe447175cda91b88b84ae8322a104fc27766ad09428754a618ed \ - --hash=sha256:4108d4c09fbbf2789d0c926eb4152ae1760d5a2d97612b92d508d96c861e4d31 \ - --hash=sha256:420d0e909050490d04359e7fdb5ed7e667ca5c3c402b809ae2563d7e66a92229 \ - --hash=sha256:47fb8a66058b80e509c47118ef8a75d14c455e81ac369050f20ba0d23e77fee0 \ - --hash=sha256:4c3341037c136030cb46e4b1e17b7418ea4cbd9dd207e4a6f3b2b24e0d4ac731 \ - --hash=sha256:4d7e3d356b8cd4ea5aff04f129d5f66ebdc7b6f8eae802b93739ed520c47c79b \ - --hash=sha256:4d8ae8659ab18c65ced284993c2265910f6c9e650189d4e3f68445ef82a810e4 \ - --hash=sha256:4e817a8920bfbcff8940ecfd60f23d01836408242b30f1a708d93198393a80b4 \ - --hash=sha256:50bfb6925eff619c9c023b967d5b77a54e04256c4281b0e21336a130cd7fc263 \ - --hash=sha256:556e106ee01aa13484ce9b0239bca667be5004efb0aabbed28d353df86445595 \ - --hash=sha256:582f5fcd2afa31622f317f80426a027f30dc792e9c80ffee87b993200ea115f1 \ - --hash=sha256:5be7bf2fb40769e05739dd0046e7b26f9d4670badc7b032d6ce4db64dddc0678 \ - --hash=sha256:60ee7e19e95104d4c03871d7d7dfb3d22ef8a9b9c6778c94e1c8fcc8365afd48 \ - --hash=sha256:61aa400dce22cb001a98014f647dc21cda08f7915ceb95df0c9eaf84b4b6af76 \ - --hash=sha256:68f68d13f2e1cb95163fa3b4db4bf9a159a418f5f6e7242564fc75fcae667fd0 \ - --hash=sha256:7d1f30a86d2757199cb2d56e48cce14deddf1f9c95f1ef1b64ee91ea43fe2e18 \ - --hash=sha256:7d731d4b107030987fd61a7f8ab512b25b53cef8f233a97379ede116f30eb67d \ - --hash=sha256:803812e111e75d1aa73690d2facc295eaefd4439be1023fefc4995eaea2af90d \ - --hash=sha256:80a8d7bfdf38f87ca30a5391c0c9ce4ed2926918e017c29ddf643d0ed2778ea1 \ - --hash=sha256:8293f3dea7fc929ef7240796ba231413afa7b68ce38fd21da2995549f5961981 \ - --hash=sha256:890bcb4abd5a2d3f852196437129eb3667d62630333aacc13dfd470fad3aaa82 \ - --hash=sha256:94a76daa32eb78d61339aff7952ea819b1734b46f73646a07decb40e5b3448e2 \ - --hash=sha256:9f16fbdf4da055efb21c22d81b89f155f02ba420558db21288b3d0035bafd5f4 \ - --hash=sha256:a3d1fae9863299076f05cb8a778c467578262fae09f9dc0ee9b12eb4268ce663 \ - --hash=sha256:a3d507bb6a513ca96ba84443226af944b0f7f47dcc9a399d110cd6146481d24c \ - --hash=sha256:abace499247268e3757271b2f1e244b36b06f8515cf27c4d49468fc9eb16e93d \ - --hash=sha256:ba2a27ff02f48193fc4daeadf8ad2590516fa3d0adeeb34336b96f7fa64c1e3a \ - --hash=sha256:bfd56bb4b37ed4f330b82402f6f435845a5f5648edf1ad497da51a8452d5d62d \ - --hash=sha256:c18ff11e86df2e28854939acde2d003f7984f721eba450b56a200ad90eeb0e6b \ - --hash=sha256:c3bcce8521d785d510b2aad26ae2c966092b7daa8f45dd8f44734a104dc0bc1a \ - --hash=sha256:c4143987a42a2397f2fc3b4d7e3a7d313fbe684f67ff443999e803dd75a76826 \ - --hash=sha256:c69fd885df7d089548a42d5ec05be26050ebcd2283d89b3d30676eb32ff87dee \ - --hash=sha256:ced80795227d70549a411a4ab66e8ce307899fad2220ce5ab2f296e687eacde9 \ - --hash=sha256:d66e421495fdb797610a08f43b05269e0a5ea7f5e652a89bfd5a7d3c1dee3648 \ - --hash=sha256:e9251e3be159d1020c4030bd2e5f84d6a43fe54b6c19c12f51cde9542a2817b2 \ - --hash=sha256:f145bba11b878005c496e93e257c1e88f154d278d2638e6450d17e0f31e558d2 \ - --hash=sha256:fe346b143ff9685e40192a4960938545c699054ba11d4f9029f94751e3f71d87 - # via google-auth -dataclasses-json==0.6.7 \ - --hash=sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a \ - --hash=sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0 - # via langchain-community -distro==1.9.0 \ - --hash=sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed \ - --hash=sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2 - # via google-genai -filetype==1.2.0 \ - --hash=sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb \ - --hash=sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25 - # via langchain-google-genai -frozenlist==1.8.0 \ - --hash=sha256:0325024fe97f94c41c08872db482cf8ac4800d80e79222c6b0b7b162d5b13686 \ - --hash=sha256:032efa2674356903cd0261c4317a561a6850f3ac864a63fc1583147fb05a79b0 \ - --hash=sha256:03ae967b4e297f58f8c774c7eabcce57fe3c2434817d4385c50661845a058121 \ - --hash=sha256:06be8f67f39c8b1dc671f5d83aaefd3358ae5cdcf8314552c57e7ed3e6475bdd \ - --hash=sha256:073f8bf8becba60aa931eb3bc420b217bb7d5b8f4750e6f8b3be7f3da85d38b7 \ - --hash=sha256:07cdca25a91a4386d2e76ad992916a85038a9b97561bf7a3fd12d5d9ce31870c \ - --hash=sha256:0c18a16eab41e82c295618a77502e17b195883241c563b00f0aa5106fc4eaa0d \ - --hash=sha256:0f96534f8bfebc1a394209427d0f8a63d343c9779cda6fc25e8e121b5fd8555b \ - --hash=sha256:102e6314ca4da683dca92e3b1355490fed5f313b768500084fbe6371fddfdb79 \ - --hash=sha256:119fb2a1bd47307e899c2fac7f28e85b9a543864df47aa7ec9d3c1b4545f096f \ - --hash=sha256:154e55ec0655291b5dd1b8731c637ecdb50975a2ae70c606d100750a540082f7 \ - --hash=sha256:168c0969a329b416119507ba30b9ea13688fafffac1b7822802537569a1cb0ef \ - --hash=sha256:21900c48ae04d13d416f0e1e0c4d81f7931f73a9dfa0b7a8746fb2fe7dd970ed \ - --hash=sha256:28bd570e8e189d7f7b001966435f9dac6718324b5be2990ac496cf1ea9ddb7fe \ - --hash=sha256:29548f9b5b5e3460ce7378144c3010363d8035cea44bc0bf02d57f5a685e084e \ - --hash=sha256:2c5dcbbc55383e5883246d11fd179782a9d07a986c40f49abe89ddf865913930 \ - --hash=sha256:2dc43a022e555de94c3b68a4ef0b11c4f747d12c024a520c7101709a2144fb37 \ - --hash=sha256:2f05983daecab868a31e1da44462873306d3cbfd76d1f0b5b69c473d21dbb128 \ - --hash=sha256:33139dc858c580ea50e7e60a1b0ea003efa1fd42e6ec7fdbad78fff65fad2fd2 \ - --hash=sha256:33f48f51a446114bc5d251fb2954ab0164d5be02ad3382abcbfe07e2531d650f \ - --hash=sha256:342c97bf697ac5480c0a7ec73cd700ecfa5a8a40ac923bd035484616efecc2df \ - --hash=sha256:39ecbc32f1390387d2aa4f5a995e465e9e2f79ba3adcac92d68e3e0afae6657c \ - --hash=sha256:3e0761f4d1a44f1d1a47996511752cf3dcec5bbdd9cc2b4fe595caf97754b7a0 \ - --hash=sha256:3ede829ed8d842f6cd48fc7081d7a41001a56f1f38603f9d49bf3020d59a31ad \ - --hash=sha256:3ef2d026f16a2b1866e1d86fc4e1291e1ed8a387b2c333809419a2f8b3a77b82 \ - --hash=sha256:4314debad13beb564b708b4a496020e5306c7333fa9a3ab90374169a20ffab30 \ - --hash=sha256:44389d135b3ff43ba8cc89ff7f51f5a0bb6b63d829c8300f79a2fe4fe61bcc62 \ - --hash=sha256:4970ece02dbc8c3a92fcc5228e36a3e933a01a999f7094ff7c23fbd2beeaa67c \ - --hash=sha256:4e0c11f2cc6717e0a741f84a527c52616140741cd812a50422f83dc31749fb52 \ - --hash=sha256:50066c3997d0091c411a66e710f4e11752251e6d2d73d70d8d5d4c76442a199d \ - --hash=sha256:517279f58009d0b1f2e7c1b130b377a349405da3f7621ed6bfae50b10adf20c1 \ - --hash=sha256:54b2077180eb7f83dd52c40b2750d0a9f175e06a42e3213ce047219de902717a \ - --hash=sha256:5500ef82073f599ac84d888e3a8c1f77ac831183244bfd7f11eaa0289fb30714 \ - --hash=sha256:581ef5194c48035a7de2aefc72ac6539823bb71508189e5de01d60c9dcd5fa65 \ - --hash=sha256:5c1c8e78426e59b3f8005e9b19f6ff46e5845895adbde20ece9218319eca6506 \ - --hash=sha256:5d63a068f978fc69421fb0e6eb91a9603187527c86b7cd3f534a5b77a592b888 \ - --hash=sha256:6da155091429aeba16851ecb10a9104a108bcd32f6c1642867eadaee401c1c41 \ - --hash=sha256:778a11b15673f6f1df23d9586f83c4846c471a8af693a22e066508b77d201ec8 \ - --hash=sha256:8009897cdef112072f93a0efdce29cd819e717fd2f649ee3016efd3cd885a7ed \ - --hash=sha256:878be833caa6a3821caf85eb39c5ba92d28e85df26d57afb06b35b2efd937231 \ - --hash=sha256:8b7b94a067d1c504ee0b16def57ad5738701e4ba10cec90529f13fa03c833496 \ - --hash=sha256:8d92f1a84bb12d9e56f818b3a746f3efba93c1b63c8387a73dde655e1e42282a \ - --hash=sha256:92db2bf818d5cc8d9c1f1fc56b897662e24ea5adb36ad1f1d82875bd64e03c24 \ - --hash=sha256:96153e77a591c8adc2ee805756c61f59fef4cf4073a9275ee86fe8cba41241f7 \ - --hash=sha256:97260ff46b207a82a7567b581ab4190bd4dfa09f4db8a8b49d1a958f6aa4940e \ - --hash=sha256:974b28cf63cc99dfb2188d8d222bc6843656188164848c4f679e63dae4b0708e \ - --hash=sha256:b2a095d45c5d46e5e79ba1e5b9cb787f541a8dee0433836cea4b96a2c439dcd8 \ - --hash=sha256:b3210649ee28062ea6099cfda39e147fa1bc039583c8ee4481cb7811e2448c51 \ - --hash=sha256:b4dec9482a65c54a5044486847b8a66bf10c9cb4926d42927ec4e8fd5db7fed8 \ - --hash=sha256:bac9c42ba2ac65ddc115d930c78d24ab8d4f465fd3fc473cdedfccadb9429806 \ - --hash=sha256:bf0a7e10b077bf5fb9380ad3ae8ce20ef919a6ad93b4552896419ac7e1d8e042 \ - --hash=sha256:cb89a7f2de3602cfed448095bab3f178399646ab7c61454315089787df07733a \ - --hash=sha256:cba69cb73723c3f329622e34bdbf5ce1f80c21c290ff04256cff1cd3c2036ed2 \ - --hash=sha256:cee686f1f4cadeb2136007ddedd0aaf928ab95216e7691c63e50a8ec066336d0 \ - --hash=sha256:cf253e0e1c3ceb4aaff6df637ce033ff6535fb8c70a764a8f46aafd3d6ab798e \ - --hash=sha256:d1eaff1d00c7751b7c6662e9c5ba6eb2c17a2306ba5e2a37f24ddf3cc953402b \ - --hash=sha256:d3bb933317c52d7ea5004a1c442eef86f426886fba134ef8cf4226ea6ee1821d \ - --hash=sha256:db1e72ede2d0d7ccb213f218df6a078a9c09a7de257c2fe8fcef16d5925230b1 \ - --hash=sha256:e25ac20a2ef37e91c1b39938b591457666a0fa835c7783c3a8f33ea42870db94 \ - --hash=sha256:eaa352d7047a31d87dafcacbabe89df0aa506abb5b1b85a2fb91bc3faa02d822 \ - --hash=sha256:eab8145831a0d56ec9c4139b6c3e594c7a83c2c8be25d5bcf2d86136a532287a \ - --hash=sha256:ec3cc8c5d4084591b4237c0a272cc4f50a5b03396a47d9caaf76f5d7b38a4f11 \ - --hash=sha256:eefdba20de0d938cec6a89bd4d70f346a03108a19b9df4248d3cf0d88f1b0f51 \ - --hash=sha256:f21f00a91358803399890ab167098c131ec2ddd5f8f5fd5fe9c9f2c6fcd91e40 \ - --hash=sha256:f6292f1de555ffcc675941d65fffffb0a5bcd992905015f85d0592201793e0e5 \ - --hash=sha256:fb30f9626572a76dfe4293c7194a09fb1fe93ba94c7d4f720dfae3b646b45027 - # via - # aiohttp - # aiosignal -google-auth==2.49.0 \ - --hash=sha256:9cc2d9259d3700d7a257681f81052db6737495a1a46b610597f4b8bafe5286ae \ - --hash=sha256:f893ef7307f19cf53700b7e2f61b5a6affe3aa0edf9943b13788920ab92d8d87 - # via google-genai -google-genai==1.66.0 \ - --hash=sha256:7f127a39cf695277104ce4091bb26e417c59bb46e952ff3699c3a982d9c474ee \ - --hash=sha256:ffc01647b65046bca6387320057aa51db0ad64bcc72c8e3e914062acfa5f7c49 - # via langchain-google-genai -greenlet==3.3.2 ; platform_machine == 'AMD64' or platform_machine == 'WIN32' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'ppc64le' or platform_machine == 'win32' or platform_machine == 'x86_64' \ - --hash=sha256:18cb1b7337bca281915b3c5d5ae19f4e76d35e1df80f4ad3c1a7be91fadf1082 \ - --hash=sha256:1a9172f5bf6bd88e6ba5a84e0a68afeac9dc7b6b412b245dd64f52d83c81e55b \ - --hash=sha256:1fb39a11ee2e4d94be9a76671482be9398560955c9e568550de0224e41104727 \ - --hash=sha256:20154044d9085151bc309e7689d6f7ba10027f8f5a8c0676ad398b951913d89e \ - --hash=sha256:2eaf067fc6d886931c7962e8c6bede15d2f01965560f3359b27c80bde2d151f2 \ - --hash=sha256:394ead29063ee3515b4e775216cb756b2e3b4a7e55ae8fd884f17fa579e6b327 \ - --hash=sha256:63d10328839d1973e5ba35e98cccbca71b232b14051fd957b6f8b6e8e80d0506 \ - --hash=sha256:64970c33a50551c7c50491671265d8954046cb6e8e2999aacdd60e439b70418a \ - --hash=sha256:8b466dff7a4ffda6ca975979bab80bdadde979e29fc947ac3be4451428d8b0e4 \ - --hash=sha256:8c4dd0f3997cf2512f7601563cc90dfb8957c0cff1e3a1b23991d4ea1776c492 \ - --hash=sha256:8d1658d7291f9859beed69a776c10822a0a799bc4bfe1bd4272bb60e62507dab \ - --hash=sha256:8e4ab3cfb02993c8cc248ea73d7dae6cec0253e9afa311c9b37e603ca9fad2ce \ - --hash=sha256:94ad81f0fd3c0c0681a018a976e5c2bd2ca2d9d94895f23e7bb1af4e8af4e2d5 \ - --hash=sha256:a7945dd0eab63ded0a48e4dcade82939783c172290a7903ebde9e184333ca124 \ - --hash=sha256:aa6ac98bdfd716a749b84d4034486863fd81c3abde9aa3cf8eff9127981a4ae4 \ - --hash=sha256:ab0c7e7901a00bc0a7284907273dc165b32e0d109a6713babd04471327ff7986 \ - --hash=sha256:b26b0f4428b871a751968285a1ac9648944cea09807177ac639b030bddebcea4 \ - --hash=sha256:b6997d360a4e6a4e936c0f9625b1c20416b8a0ea18a8e19cabbefc712e7397ab \ - --hash=sha256:b8bddc5b73c9720bea487b3bffdb1840fe4e3656fba3bd40aa1489e9f37877ff \ - --hash=sha256:c04c5e06ec3e022cbfe2cd4a846e1d4e50087444f875ff6d2c2ad8445495cf1a \ - --hash=sha256:c2e47408e8ce1c6f1ceea0dffcdf6ebb85cc09e55c7af407c99f1112016e45e9 \ - --hash=sha256:cd6f9e2bbd46321ba3bbb4c8a15794d32960e3b0ae2cc4d49a1a53d314805d71 \ - --hash=sha256:d248d8c23c67d2291ffd47af766e2a3aa9fa1c6703155c099feb11f526c63a92 \ - --hash=sha256:e26e72bec7ab387ac80caa7496e0f908ff954f31065b0ffc1f8ecb1338b11b54 - # via sqlalchemy -grpcio==1.78.0 \ - --hash=sha256:2045397e63a7a0ee7957c25f7dbb36ddc110e0cfb418403d110c0a7a68a844e9 \ - --hash=sha256:207db540302c884b8848036b80db352a832b99dfdf41db1eb554c2c2c7800f65 \ - --hash=sha256:271c73e6e5676afe4fc52907686670c7cea22ab2310b76a59b678403ed40d670 \ - --hash=sha256:2bf5e2e163b356978b23652c4818ce4759d40f4712ee9ec5a83c4be6f8c23a3a \ - --hash=sha256:35eb275bf1751d2ffbd8f57cdbc46058e857cf3971041521b78b7db94bdaf127 \ - --hash=sha256:3c586ac70e855c721bda8f548d38c3ca66ac791dc49b66a8281a1f99db85e452 \ - --hash=sha256:57bab6deef2f4f1ca76cc04565df38dc5713ae6c17de690721bdf30cb1e0545c \ - --hash=sha256:735e38e176a88ce41840c21bb49098ab66177c64c82426e24e0082500cc68af5 \ - --hash=sha256:7382b95189546f375c174f53a5fa873cef91c4b8005faa05cc5b3beea9c4f1c5 \ - --hash=sha256:748b6138585379c737adc08aeffd21222abbda1a86a0dca2a39682feb9196c20 \ - --hash=sha256:74be1268d1439eaaf552c698cdb11cd594f0c49295ae6bb72c34ee31abbe611b \ - --hash=sha256:8dfffba826efcf366b1e3ccc37e67afe676f290e13a3b48d31a46739f80a8724 \ - --hash=sha256:8f2ac84905d12918e4e55a16da17939eb63e433dc11b677267c35568aa63fc84 \ - --hash=sha256:a9f136fbafe7ccf4ac7e8e0c28b31066e810be52d6e344ef954a3a70234e1702 \ - --hash=sha256:b58f37edab4a3881bc6c9bca52670610e0c9ca14e2ea3cf9debf185b870457fb \ - --hash=sha256:be63c88b32e6c0f1429f1398ca5c09bc64b0d80950c8bb7807d7d7fb36fb84c7 \ - --hash=sha256:c41bc64626db62e72afec66b0c8a0da76491510015417c127bfc53b2fe6d7f7f \ - --hash=sha256:ce3a90455492bf8bfa38e56fbbe1dbd4f872a3d8eeaf7337dc3b1c8aa28c271b \ - --hash=sha256:dce09d6116df20a96acfdbf85e4866258c3758180e8c49845d6ba8248b6d0bbb \ - --hash=sha256:e87cbc002b6f440482b3519e36e1313eb5443e9e9e73d6a52d43bd2004fcfd8e \ - --hash=sha256:f2d4e43ee362adfc05994ed479334d5a451ab7bc3f3fee1b796b8ca66895acb4 - # via qdrant-client -h11==0.16.0 \ - --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ - --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86 - # via httpcore -h2==4.3.0 \ - --hash=sha256:6c59efe4323fa18b47a632221a1888bd7fde6249819beda254aeca909f221bf1 \ - --hash=sha256:c438f029a25f7945c69e0ccf0fb951dc3f73a5f6412981daee861431b70e2bdd - # via httpx -hpack==4.1.0 \ - --hash=sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496 \ - --hash=sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca - # via h2 -httpcore==1.0.9 \ - --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \ - --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8 - # via httpx -httpx==0.28.1 \ - --hash=sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc \ - --hash=sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad - # via - # google-genai - # langsmith - # qdrant-client -httpx-sse==0.4.3 \ - --hash=sha256:0ac1c9fe3c0afad2e0ebb25a934a59f4c7823b60792691f779fad2c5568830fc \ - --hash=sha256:9b1ed0127459a66014aec3c56bebd93da3c1bc8bb6618c8082039a44889a755d - # via langchain-community -hyperframe==6.1.0 \ - --hash=sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5 \ - --hash=sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08 - # via h2 -idna==3.11 \ - --hash=sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea \ - --hash=sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902 - # via - # anyio - # httpx - # requests - # yarl -jsonpatch==1.33 \ - --hash=sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade \ - --hash=sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c - # via langchain-core -jsonpointer==3.0.0 \ - --hash=sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942 \ - --hash=sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef - # via jsonpatch -langchain-classic==1.0.2 \ - --hash=sha256:ae3480f488d2cf778f75e59ce0316b336fe2bcd4f8828aeb1aef1e2f26987d7f \ - --hash=sha256:bbf686613d0051905794f2646ecb6a79fa398db399750a4af039107d93054335 - # via langchain-community -langchain-community==0.4.1 \ - --hash=sha256:2135abb2c7748a35c84613108f7ebf30f8505b18c3c18305ffaecfc7651f6c6a \ - --hash=sha256:f3b211832728ee89f169ddce8579b80a085222ddb4f4ed445a46e977d17b1e85 - # via maicro -langchain-core==1.2.17 \ - --hash=sha256:54aa267f3311e347fb2e50951fe08e53761cebfb999ab80e6748d70525bbe872 \ - --hash=sha256:bf6bd6ce503874e9c2da1669a69383e967c3de1ea808921d19a9a6bff1a9fbbe - # via - # langchain-classic - # langchain-community - # langchain-google-genai - # langchain-qdrant - # langchain-text-splitters -langchain-google-genai==4.2.1 \ - --hash=sha256:7f44487a0337535897e3bba9a1d6605d722629e034f757ffa8755af0aa85daa8 \ - --hash=sha256:a7735289cf94ca3a684d830e09196aac8f6e75e647e3a0a1c3c9dc534ceb985e - # via maicro -langchain-qdrant==1.1.0 \ - --hash=sha256:433236845736f973543ac6b7137f9d7fa511b7539373fbc6565c581d3ba59373 \ - --hash=sha256:546c5c9aa57f543dbcee07343f730c331e4ec2af2ec55b541010af08d872bf35 - # via maicro -langchain-text-splitters==1.1.1 \ - --hash=sha256:34861abe7c07d9e49d4dc852d0129e26b32738b60a74486853ec9b6d6a8e01d2 \ - --hash=sha256:5ed0d7bf314ba925041e7d7d17cd8b10f688300d5415fb26c29442f061e329dc - # via langchain-classic -langsmith==0.7.14 \ - --hash=sha256:754dcb474a3f3f83cfefbd9694b897bce2a1a0b412bf75e256f85a64206ddcb7 \ - --hash=sha256:95606314a8dea0ea1ff3650da4cf0433737b14c4c296579c6b770b43cb5e0b37 - # via - # langchain-classic - # langchain-community - # langchain-core -marshmallow==3.26.2 \ - --hash=sha256:013fa8a3c4c276c24d26d84ce934dc964e2aa794345a0f8c7e5a7191482c8a73 \ - --hash=sha256:bbe2adb5a03e6e3571b573f42527c6fe926e17467833660bebd11593ab8dfd57 - # via dataclasses-json -multidict==6.7.1 \ - --hash=sha256:03ede2a6ffbe8ef936b92cb4529f27f42be7f56afcdab5ab739cd5f27fb1cbf9 \ - --hash=sha256:0458c978acd8e6ea53c81eefaddbbee9c6c5e591f41b3f5e8e194780fe026581 \ - --hash=sha256:0b4c48648d7649c9335cf1927a8b87fa692de3dcb15faa676c6a6f1f1aabda43 \ - --hash=sha256:0e161ddf326db5577c3a4cc2d8648f81456e8a20d40415541587a71620d7a7d1 \ - --hash=sha256:12fad252f8b267cc75b66e8fc51b3079604e8d43a75428ffe193cd9e2195dfd6 \ - --hash=sha256:14525a5f61d7d0c94b368a42cff4c9a4e7ba2d52e2672a7b23d84dc86fb02b0c \ - --hash=sha256:17307b22c217b4cf05033dabefe68255a534d637c6c9b0cc8382718f87be4262 \ - --hash=sha256:1b99af4d9eec0b49927b4402bcbb58dea89d3e0db8806a4086117019939ad3dd \ - --hash=sha256:1d540e51b7e8e170174555edecddbd5538105443754539193e3e1061864d444d \ - --hash=sha256:1e3a8bb24342a8201d178c3b4984c26ba81a577c80d4d525727427460a50c22d \ - --hash=sha256:21f830fe223215dffd51f538e78c172ed7c7f60c9b96a2bf05c4848ad49921c3 \ - --hash=sha256:233b398c29d3f1b9676b4b6f75c518a06fcb2ea0b925119fb2c1bc35c05e1601 \ - --hash=sha256:253282d70d67885a15c8a7716f3a73edf2d635793ceda8173b9ecc21f2fb8292 \ - --hash=sha256:273d23f4b40f3dce4d6c8a821c741a86dec62cded82e1175ba3d99be128147ed \ - --hash=sha256:283ddac99f7ac25a4acadbf004cb5ae34480bbeb063520f70ce397b281859362 \ - --hash=sha256:2b41f5fed0ed563624f1c17630cb9941cf2309d4df00e494b551b5f3e3d67a23 \ - --hash=sha256:2bbd113e0d4af5db41d5ebfe9ccaff89de2120578164f86a5d17d5a576d1e5b2 \ - --hash=sha256:2e1425e2f99ec5bd36c15a01b690a1a2456209c5deed58f95469ffb46039ccbb \ - --hash=sha256:3ab8b9d8b75aef9df299595d5388b14530839f6422333357af1339443cff777d \ - --hash=sha256:3bd231490fa7217cc832528e1cd8752a96f0125ddd2b5749390f7c3ec8721b65 \ - --hash=sha256:401c5a650f3add2472d1d288c26deebc540f99e2fb83e9525007a74cd2116f1d \ - --hash=sha256:41f2952231456154ee479651491e94118229844dd7226541788be783be2b5108 \ - --hash=sha256:432feb25a1cb67fe82a9680b4d65fb542e4635cb3166cd9c01560651ad60f177 \ - --hash=sha256:4885cb0e817aef5d00a2e8451d4665c1808378dc27c2705f1bf4ef8505c0d2e5 \ - --hash=sha256:497394b3239fc6f0e13a78a3e1b61296e72bf1c5f94b4c4eb80b265c37a131cd \ - --hash=sha256:497bde6223c212ba11d462853cfa4f0ae6ef97465033e7dc9940cdb3ab5b48e5 \ - --hash=sha256:4cfb48c6ea66c83bcaaf7e4dfa7ec1b6bbcf751b7db85a328902796dfde4c060 \ - --hash=sha256:538cec1e18c067d0e6103aa9a74f9e832904c957adc260e61cd9d8cf0c3b3d37 \ - --hash=sha256:55d97cc6dae627efa6a6e548885712d4864b81110ac76fa4e534c03819fa4a56 \ - --hash=sha256:563fe25c678aaba333d5399408f5ec3c383ca5b663e7f774dd179a520b8144df \ - --hash=sha256:57b46b24b5d5ebcc978da4ec23a819a9402b4228b8a90d9c656422b4bdd8a963 \ - --hash=sha256:5a37ca18e360377cfda1d62f5f382ff41f2b8c4ccb329ed974cc2e1643440118 \ - --hash=sha256:5c4b9bfc148f5a91be9244d6264c53035c8a0dcd2f51f1c3c6e30e30ebaa1c84 \ - --hash=sha256:5e01429a929600e7dab7b166062d9bb54a5eed752384c7384c968c2afab8f50f \ - --hash=sha256:5fa6a95dfee63893d80a34758cd0e0c118a30b8dcb46372bf75106c591b77889 \ - --hash=sha256:6aac4f16b472d5b7dc6f66a0d49dd57b0e0902090be16594dc9ebfd3d17c47e7 \ - --hash=sha256:6b10359683bd8806a200fd2909e7c8ca3a7b24ec1d8132e483d58e791d881048 \ - --hash=sha256:7a7e590ff876a3eaf1c02a4dfe0724b6e69a9e9de6d8f556816f29c496046e59 \ - --hash=sha256:7eee46ccb30ff48a1e35bb818cc90846c6be2b68240e42a78599166722cea709 \ - --hash=sha256:841189848ba629c3552035a6a7f5bf3b02eb304e9fea7492ca220a8eda6b0e5c \ - --hash=sha256:84e61e3af5463c19b67ced91f6c634effb89ef8bfc5ca0267f954451ed4bb6a2 \ - --hash=sha256:8f333ec9c5eb1b7105e3b84b53141e66ca05a19a605368c55450b6ba208cb9ee \ - --hash=sha256:9004d8386d133b7e6135679424c91b0b854d2d164af6ea3f289f8f2761064609 \ - --hash=sha256:90efbcf47dbe33dcf643a1e400d67d59abeac5db07dc3f27d6bdeae497a2198c \ - --hash=sha256:935434b9853c7c112eee7ac891bc4cb86455aa631269ae35442cb316790c1445 \ - --hash=sha256:93b1818e4a6e0930454f0f2af7dfce69307ca03cdcfb3739bf4d91241967b6c1 \ - --hash=sha256:960c83bf01a95b12b08fd54324a4eb1d5b52c88932b5cba5d6e712bb3ed12eb5 \ - --hash=sha256:97231140a50f5d447d3164f994b86a0bed7cd016e2682f8650d6a9158e14fd31 \ - --hash=sha256:97891f3b1b3ffbded884e2916cacf3c6fc87b66bb0dde46f7357404750559f33 \ - --hash=sha256:98655c737850c064a65e006a3df7c997cd3b220be4ec8fe26215760b9697d4d7 \ - --hash=sha256:98bc624954ec4d2c7cb074b8eefc2b5d0ce7d482e410df446414355d158fe4ca \ - --hash=sha256:9d624335fd4fa1c08a53f8b4be7676ebde19cd092b3895c421045ca87895b429 \ - --hash=sha256:9f9af11306994335398293f9958071019e3ab95e9a707dc1383a35613f6abcb9 \ - --hash=sha256:a0543217a6a017692aa6ae5cc39adb75e587af0f3a82288b1492eb73dd6cc2a4 \ - --hash=sha256:a407f13c188f804c759fc6a9f88286a565c242a76b27626594c133b82883b5c2 \ - --hash=sha256:af959b9beeb66c822380f222f0e0a1889331597e81f1ded7f374f3ecb0fd6c52 \ - --hash=sha256:b26684587228afed0d50cf804cc71062cc9c1cdf55051c4c6345d372947b268c \ - --hash=sha256:b4938326284c4f1224178a560987b6cf8b4d38458b113d9b8c1db1a836e640a2 \ - --hash=sha256:c0abd12629b0af3cf590982c0b413b1e7395cd4ec026f30986818ab95bfaa94a \ - --hash=sha256:c76c4bec1538375dad9d452d246ca5368ad6e1c9039dadcf007ae59c70619ea1 \ - --hash=sha256:c9035dde0f916702850ef66460bc4239d89d08df4d02023a5926e7446724212c \ - --hash=sha256:ce1bbd7d780bb5a0da032e095c951f7014d6b0a205f8318308140f1a6aba159e \ - --hash=sha256:d54ecf9f301853f2c5e802da559604b3e95bb7a3b01a9c295c6ee591b9882de8 \ - --hash=sha256:df9f19c28adcb40b6aae30bbaa1478c389efd50c28d541d76760199fc1037c32 \ - --hash=sha256:e1c5988359516095535c4301af38d8a8838534158f649c05dd1050222321bcb3 \ - --hash=sha256:e628ef0e6859ffd8273c69412a2465c4be4a9517d07261b33334b5ec6f3c7489 \ - --hash=sha256:e82d14e3c948952a1a85503817e038cba5905a3352de76b9a465075d072fba23 \ - --hash=sha256:e954b24433c768ce78ab7929e84ccf3422e46deb45a4dc9f93438f8217fa2d34 \ - --hash=sha256:eb304767bca2bb92fb9c5bd33cedc95baee5bb5f6c88e63706533a1c06ad08c8 \ - --hash=sha256:ec6652a1bee61c53a3e5776b6049172c53b6aaba34f18c9ad04f82712bac623d \ - --hash=sha256:f33dc2a3abe9249ea5d8360f969ec7f4142e7ac45ee7014d8f8d5acddf178b7b \ - --hash=sha256:f5dd81c45b05518b9aa4da4aa74e1c93d715efa234fd3e8a179df611cc85e5f4 \ - --hash=sha256:f99fe611c312b3c1c0ace793f92464d8cd263cc3b26b5721950d977b006b6c4d \ - --hash=sha256:fa263a02f4f2dd2d11a7b1bb4362aa7cb1049f84a9235d31adf63f30143469a0 - # via - # aiohttp - # yarl -mypy-extensions==1.1.0 \ - --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \ - --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558 - # via typing-inspect -numpy==2.4.2 \ - --hash=sha256:00ab83c56211a1d7c07c25e3217ea6695e50a3e2f255053686b081dc0b091a82 \ - --hash=sha256:068cdb2d0d644cdb45670810894f6a0600797a69c05f1ac478e8d31670b8ee75 \ - --hash=sha256:0f01dcf33e73d80bd8dc0f20a71303abbafa26a19e23f6b68d1aa9990af90257 \ - --hash=sha256:0fece1d1f0a89c16b03442eae5c56dc0be0c7883b5d388e0c03f53019a4bfd71 \ - --hash=sha256:12e26134a0331d8dbd9351620f037ec470b7c75929cb8a1537f6bfe411152a1a \ - --hash=sha256:1f92f53998a17265194018d1cc321b2e96e900ca52d54c7c77837b71b9465181 \ - --hash=sha256:20abd069b9cda45874498b245c8015b18ace6de8546bf50dfa8cea1696ed06ef \ - --hash=sha256:25f2059807faea4b077a2b6837391b5d830864b3543627f381821c646f31a63c \ - --hash=sha256:2b8f157c8a6f20eb657e240f8985cc135598b2b46985c5bccbde7616dc9c6b1e \ - --hash=sha256:2fb882da679409066b4603579619341c6d6898fc83a8995199d5249f986e8e8f \ - --hash=sha256:444be170853f1f9d528428eceb55f12918e4fda5d8805480f36a002f1415e09b \ - --hash=sha256:52b913ec40ff7ae845687b0b34d8d93b60cb66dcee06996dd5c99f2fc9328657 \ - --hash=sha256:5633c0da313330fd20c484c78cdd3f9b175b55e1a766c4a174230c6b70ad8262 \ - --hash=sha256:5daf6f3914a733336dab21a05cdec343144600e964d2fcdabaac0c0269874b2a \ - --hash=sha256:5eea80d908b2c1f91486eb95b3fb6fab187e569ec9752ab7d9333d2e66bf2d6b \ - --hash=sha256:659a6107e31a83c4e33f763942275fd278b21d095094044eb35569e86a21ddae \ - --hash=sha256:66cb9422236317f9d44b67b4d18f44efe6e9c7f8794ac0462978513359461554 \ - --hash=sha256:6ed0be1ee58eef41231a5c943d7d1375f093142702d5723ca2eb07db9b934b05 \ - --hash=sha256:7cdde6de52fb6664b00b056341265441192d1291c130e99183ec0d4b110ff8b1 \ - --hash=sha256:7df2de1e4fba69a51c06c28f5a3de36731eb9639feb8e1cf7e4a7b0daf4cf622 \ - --hash=sha256:7f54844851cdb630ceb623dcec4db3240d1ac13d4990532446761baede94996a \ - --hash=sha256:8c50dd1fc8826f5b26a5ee4d77ca55d88a895f4e4819c7ecc2a9f5905047a443 \ - --hash=sha256:8e4549f8a3c6d13d55041925e912bfd834285ef1dd64d6bc7d542583355e2e98 \ - --hash=sha256:8e9afaeb0beff068b4d9cd20d322ba0ee1cecfb0b08db145e4ab4dd44a6b5110 \ - --hash=sha256:98f16a80e917003a12c0580f97b5f875853ebc33e2eaa4bccfc8201ac6869308 \ - --hash=sha256:9e4424677ce4b47fe73c8b5556d876571f7c6945d264201180db2dc34f676ab5 \ - --hash=sha256:aea4f66ff44dfddf8c2cffd66ba6538c5ec67d389285292fe428cb2c738c8aef \ - --hash=sha256:b21041e8cb6a1eb5312dd1d2f80a94d91efffb7a06b70597d44f1bd2dfc315ab \ - --hash=sha256:b2f0073ed0868db1dcd86e052d37279eef185b9c8db5bf61f30f46adac63c909 \ - --hash=sha256:bba37bc29d4d85761deed3954a1bc62be7cf462b9510b51d367b769a8c8df325 \ - --hash=sha256:bd3a7a9f5847d2fb8c2c6d1c862fa109c31a9abeca1a3c2bd5a64572955b2979 \ - --hash=sha256:c3cd545784805de05aafe1dde61752ea49a359ccba9760c1e5d1c88a93bbf2b7 \ - --hash=sha256:c7ac672d699bf36275c035e16b65539931347d68b70667d28984c9fb34e07fa7 \ - --hash=sha256:cda077c2e5b780200b6b3e09d0b42205a3d1c68f30c6dceb90401c13bff8fe74 \ - --hash=sha256:d0d9b7c93578baafcbc5f0b83eaf17b79d345c6f36917ba0c67f45226911d499 \ - --hash=sha256:d1240d50adff70c2a88217698ca844723068533f3f5c5fa6ee2e3220e3bdb000 \ - --hash=sha256:d30291931c915b2ab5717c2974bb95ee891a1cf22ebc16a8006bd59cd210d40a \ - --hash=sha256:d9f64d786b3b1dd742c946c42d15b07497ed14af1a1f3ce840cce27daa0ce913 \ - --hash=sha256:da6cad4e82cb893db4b69105c604d805e0c3ce11501a55b5e9f9083b47d2ffe8 \ - --hash=sha256:e98c97502435b53741540a5717a6749ac2ada901056c7db951d33e11c885cc7d \ - --hash=sha256:f74f0f7779cc7ae07d1810aab8ac6b1464c3eafb9e283a40da7309d5e6e48fbb \ - --hash=sha256:fcf92bee92742edd401ba41135185866f7026c502617f422eb432cfeca4fe236 \ - --hash=sha256:fd49860271d52127d61197bb50b64f58454e9f578cb4b2c001a6de8b1f50b0b1 - # via - # langchain-community - # qdrant-client -orjson==3.11.7 ; platform_python_implementation != 'PyPy' \ - --hash=sha256:1d98b30cc1313d52d4af17d9c3d307b08389752ec5f2e5febdfada70b0f8c733 \ - --hash=sha256:1eb80451a9c351a71dfaf5b7ccc13ad065405217726b59fdbeadbcc544f9d223 \ - --hash=sha256:23d6c20517a97a9daf1d48b580fcdc6f0516c6f4b5038823426033690b4d2650 \ - --hash=sha256:31c80ce534ac4ea3739c5ee751270646cbc46e45aea7576a38ffec040b4029a1 \ - --hash=sha256:390a1dce0c055ddf8adb6aa94a73b45a4a7d7177b5c584b8d1c1947f2ba60fb3 \ - --hash=sha256:3c4bc6c6ac52cdaa267552544c73e486fecbd710b7ac09bc024d5a78555a22f6 \ - --hash=sha256:4a2e9c5be347b937a2e0203866f12bba36082e89b402ddb9e927d5822e43088d \ - --hash=sha256:623ad1b9548ef63886319c16fa317848e465a21513b31a6ad7b57443c3e0dcf5 \ - --hash=sha256:652c6c3af76716f4a9c290371ba2e390ede06f6603edb277b481daf37f6f464e \ - --hash=sha256:6e776b998ac37c0396093d10290e60283f59cfe0fc3fccbd0ccc4bd04dd19892 \ - --hash=sha256:7477aa6a6ec6139c5cb1cc7b214643592169a5494d200397c7fc95d740d5fcf3 \ - --hash=sha256:800988273a014a0541483dc81021247d7eacb0c845a9d1a34a422bc718f41539 \ - --hash=sha256:814be4b49b228cfc0b3c565acf642dd7d13538f966e3ccde61f4f55be3e20785 \ - --hash=sha256:845c3e0d8ded9c9271cd79596b9b552448b885b97110f628fb687aee2eed11c1 \ - --hash=sha256:89e13dd3f89f1c38a9c9eba5fbf7cdc2d1feca82f5f290864b4b7a6aac704576 \ - --hash=sha256:8ff206156006da5b847c9304b6308a01e8cdbc8cce824e2779a5ba71c3def141 \ - --hash=sha256:962d046ee1765f74a1da723f4b33e3b228fe3a48bd307acce5021dfefe0e29b2 \ - --hash=sha256:996b65230271f1a97026fd0e6a753f51fbc0c335d2ad0c6201f711b0da32693b \ - --hash=sha256:9b1a67243945819ce55d24a30b59d6a168e86220452d2c96f4d1f093e71c0c49 \ - --hash=sha256:9e54f3808e2b6b945078c41aa8d9b5834b28c50843846e97807e5adb75fa9705 \ - --hash=sha256:a12b80df61aab7b98b490fe9e4879925ba666fccdfcd175252ce4d9035865ace \ - --hash=sha256:a56df3239294ea5964adf074c54bcc4f0ccd21636049a2cf3ca9cf03b5d03cf1 \ - --hash=sha256:ab49d4b2a6a1d415ddb9f37a21e02e0d5dbfe10b7870b21bf779fc21e9156157 \ - --hash=sha256:b9f95dcdea9d4f805daa9ddf02617a89e484c6985fa03055459f90e87d7a0757 \ - --hash=sha256:bd0d68edd7dfca1b2eca9361a44ac9f24b078de3481003159929a0573f21a6bf \ - --hash=sha256:bda117c4148e81f746655d5a3239ae9bd00cb7bc3ca178b5fc5a5997e9744183 \ - --hash=sha256:c2428d358d85e8da9d37cba18b8c4047c55222007a84f97156a5b22028dfbfc0 \ - --hash=sha256:d06e5c5fed5caedd2e540d62e5b1c25e8c82431b9e577c33537e5fa4aa909539 \ - --hash=sha256:d897e81f8d0cbd2abb82226d1860ad2e1ab3ff16d7b08c96ca00df9d45409ef4 \ - --hash=sha256:de0a37f21d0d364954ad5de1970491d7fbd0fb1ef7417d4d56a36dc01ba0c0a0 \ - --hash=sha256:f50979824bde13d32b4320eedd513431c921102796d86be3eee0b58e58a3ecd1 - # via langsmith -packaging==26.0 \ - --hash=sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4 \ - --hash=sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529 - # via - # langchain-core - # langsmith - # marshmallow -portalocker==3.2.0 \ - --hash=sha256:1f3002956a54a8c3730586c5c77bf18fae4149e07eaf1c29fc3faf4d5a3f89ac \ - --hash=sha256:3cdc5f565312224bc570c49337bd21428bba0ef363bbcf58b9ef4a9f11779968 - # via qdrant-client -propcache==0.4.1 \ - --hash=sha256:005f08e6a0529984491e37d8dbc3dd86f84bd78a8ceb5fa9a021f4c48d4984be \ - --hash=sha256:05674a162469f31358c30bcaa8883cb7829fa3110bf9c0991fe27d7896c42d85 \ - --hash=sha256:060b16ae65bc098da7f6d25bf359f1f31f688384858204fe5d652979e0015e5b \ - --hash=sha256:120c964da3fdc75e3731aa392527136d4ad35868cc556fd09bb6d09172d9a367 \ - --hash=sha256:17612831fda0138059cc5546f4d12a2aacfb9e47068c06af35c400ba58ba7393 \ - --hash=sha256:2ad890caa1d928c7c2965b48f3a3815c853180831d0e5503d35cf00c472f4717 \ - --hash=sha256:333ddb9031d2704a301ee3e506dc46b1fe5f294ec198ed6435ad5b6a085facfe \ - --hash=sha256:381914df18634f5494334d201e98245c0596067504b9372d8cf93f4bb23e025e \ - --hash=sha256:3f7124c9d820ba5548d431afb4632301acf965db49e666aa21c305cbe8c6de12 \ - --hash=sha256:41a89040cb10bd345b3c1a873b2bf36413d48da1def52f268a055f7398514874 \ - --hash=sha256:43eedf29202c08550aac1d14e0ee619b0430aaef78f85864c1a892294fbc28cf \ - --hash=sha256:473c61b39e1460d386479b9b2f337da492042447c9b685f28be4f74d3529e566 \ - --hash=sha256:49a2dc67c154db2c1463013594c458881a069fcf98940e61a0569016a583020a \ - --hash=sha256:4c3c70630930447f9ef1caac7728c8ad1c56bc5015338b20fed0d08ea2480b3a \ - --hash=sha256:4d3df5fa7e36b3225954fba85589da77a0fe6a53e3976de39caf04a0db4c36f1 \ - --hash=sha256:501d20b891688eb8e7aa903021f0b72d5a55db40ffaab27edefd1027caaafa61 \ - --hash=sha256:521a463429ef54143092c11a77e04056dd00636f72e8c45b70aaa3140d639726 \ - --hash=sha256:5558992a00dfd54ccbc64a32726a3357ec93825a418a401f5cc67df0ac5d9e49 \ - --hash=sha256:55c72fd6ea2da4c318e74ffdf93c4fe4e926051133657459131a95c846d16d44 \ - --hash=sha256:564d9f0d4d9509e1a870c920a89b2fec951b44bf5ba7d537a9e7c1ccec2c18af \ - --hash=sha256:580e97762b950f993ae618e167e7be9256b8353c2dcd8b99ec100eb50f5286aa \ - --hash=sha256:5a103c3eb905fcea0ab98be99c3a9a5ab2de60228aa5aceedc614c0281cf6153 \ - --hash=sha256:5c3310452e0d31390da9035c348633b43d7e7feb2e37be252be6da45abd1abcc \ - --hash=sha256:678ae89ebc632c5c204c794f8dab2837c5f159aeb59e6ed0539500400577298c \ - --hash=sha256:6f6ff873ed40292cd4969ef5310179afd5db59fdf055897e282485043fc80ad0 \ - --hash=sha256:6f8b465489f927b0df505cbe26ffbeed4d6d8a2bbc61ce90eb074ff129ef0ab1 \ - --hash=sha256:74c1fb26515153e482e00177a1ad654721bf9207da8a494a0c05e797ad27b992 \ - --hash=sha256:824e908bce90fb2743bd6b59db36eb4f45cd350a39637c9f73b1c1ea66f5b75f \ - --hash=sha256:8326e144341460402713f91df60ade3c999d601e7eb5ff8f6f7862d54de0610d \ - --hash=sha256:8873eb4460fd55333ea49b7d189749ecf6e55bf85080f11b1c4530ed3034cba1 \ - --hash=sha256:89eb3fa9524f7bec9de6e83cf3faed9d79bffa560672c118a96a171a6f55831e \ - --hash=sha256:8e57061305815dfc910a3634dcf584f08168a8836e6999983569f51a8544cd89 \ - --hash=sha256:929d7cbe1f01bb7baffb33dc14eb5691c95831450a26354cd210a8155170c93a \ - --hash=sha256:92d1935ee1f8d7442da9c0c4fa7ac20d07e94064184811b685f5c4fada64553b \ - --hash=sha256:990f6b3e2a27d683cb7602ed6c86f15ee6b43b1194736f9baaeb93d0016633b1 \ - --hash=sha256:9a0bd56e5b100aef69bd8562b74b46254e7c8812918d3baa700c8a8009b0af66 \ - --hash=sha256:9f302f4783709a78240ebc311b793f123328716a60911d667e0c036bc5dcbded \ - --hash=sha256:a78372c932c90ee474559c5ddfffd718238e8673c340dc21fe45c5b8b54559a0 \ - --hash=sha256:ab2943be7c652f09638800905ee1bab2c544e537edb57d527997a24c13dc1455 \ - --hash=sha256:ab4c29b49d560fe48b696cdcb127dd36e0bc2472548f3bf56cc5cb3da2b2984f \ - --hash=sha256:af223b406d6d000830c6f65f1e6431783fc3f713ba3e6cc8c024d5ee96170a4b \ - --hash=sha256:af2a6052aeb6cf17d3e46ee169099044fd8224cbaf75c76a2ef596e8163e2237 \ - --hash=sha256:bcc9aaa5d80322bc2fb24bb7accb4a30f81e90ab8d6ba187aec0744bc302ad81 \ - --hash=sha256:c07fda85708bc48578467e85099645167a955ba093be0a2dcba962195676e859 \ - --hash=sha256:c0d4b719b7da33599dfe3b22d3db1ef789210a0597bc650b7cee9c77c2be8c5c \ - --hash=sha256:c0ef0aaafc66fbd87842a3fe3902fd889825646bc21149eafe47be6072725835 \ - --hash=sha256:c2b5e7db5328427c57c8e8831abda175421b709672f6cfc3d630c3b7e2146393 \ - --hash=sha256:c80ee5802e3fb9ea37938e7eecc307fb984837091d5fd262bb37238b1ae97641 \ - --hash=sha256:c9b822a577f560fbd9554812526831712c1436d2c046cedee4c3796d3543b144 \ - --hash=sha256:cae65ad55793da34db5f54e4029b89d3b9b9490d8abe1b4c7ab5d4b8ec7ebf74 \ - --hash=sha256:d472aeb4fbf9865e0c6d622d7f4d54a4e101a89715d8904282bb5f9a2f476c3f \ - --hash=sha256:d62cdfcfd89ccb8de04e0eda998535c406bf5e060ffd56be6c586cbcc05b3311 \ - --hash=sha256:d8f353eb14ee3441ee844ade4277d560cdd68288838673273b978e3d6d2c8f36 \ - --hash=sha256:dee69d7015dc235f526fe80a9c90d65eb0039103fe565776250881731f06349f \ - --hash=sha256:e35b88984e7fa64aacecea39236cee32dd9bd8c55f57ba8a75cf2399553f9bd7 \ - --hash=sha256:ecef2343af4cc68e05131e45024ba34f6095821988a9d0a02aa7c73fcc448aa9 \ - --hash=sha256:ed5a841e8bb29a55fb8159ed526b26adc5bdd7e8bd7bf793ce647cb08656cdf4 \ - --hash=sha256:ee17f18d2498f2673e432faaa71698032b0127ebf23ae5974eeaf806c279df24 \ - --hash=sha256:f48107a8c637e80362555f37ecf49abe20370e557cc4ab374f04ec4423c97c3d \ - --hash=sha256:f7ee0e597f495cf415bcbd3da3caa3bd7e816b74d0d52b8145954c5e6fd3ff37 \ - --hash=sha256:f95393b4d66bfae908c3ca8d169d5f79cd65636ae15b5e7a4f6e67af675adb0e \ - --hash=sha256:fd0858c20f078a32cf55f7e81473d96dcf3b93fd2ccdb3d40fdf54b8573df3af - # via - # aiohttp - # yarl -protobuf==7.34.0 \ - --hash=sha256:3871a3df67c710aaf7bb8d214cc997342e63ceebd940c8c7fc65c9b3d697591a \ - --hash=sha256:4a72a8ec94e7a9f7ef7fe818ed26d073305f347f8b3b5ba31e22f81fd85fca02 \ - --hash=sha256:8e329966799f2c271d5e05e236459fe1cbfdb8755aaa3b0914fa60947ddea408 \ - --hash=sha256:964cf977e07f479c0697964e83deda72bcbc75c3badab506fb061b352d991b01 \ - --hash=sha256:9d7a5005fb96f3c1e64f397f91500b0eb371b28da81296ae73a6b08a5b76cdd6 \ - --hash=sha256:9f9079f1dde4e32342ecbd1c118d76367090d4aaa19da78230c38101c5b3dd40 \ - --hash=sha256:e3b914dd77fa33fa06ab2baa97937746ab25695f389869afdf03e81f34e45dc7 \ - --hash=sha256:f791ec509707a1d91bd02e07df157e75e4fb9fbdad12a81b7396201ec244e2e3 - # via qdrant-client -pyasn1==0.6.2 \ - --hash=sha256:1eb26d860996a18e9b6ed05e7aae0e9fc21619fcee6af91cca9bad4fbea224bf \ - --hash=sha256:9b59a2b25ba7e4f8197db7686c09fb33e658b98339fadb826e9512629017833b - # via - # pyasn1-modules - # rsa -pyasn1-modules==0.4.2 \ - --hash=sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a \ - --hash=sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6 - # via google-auth -pycparser==3.0 ; implementation_name != 'PyPy' and platform_python_implementation != 'PyPy' \ - --hash=sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29 \ - --hash=sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992 - # via cffi -pydantic==2.12.5 \ - --hash=sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49 \ - --hash=sha256:e561593fccf61e8a20fc46dfc2dfe075b8be7d0188df33f221ad1f0139180f9d - # via - # google-genai - # langchain-classic - # langchain-core - # langchain-google-genai - # langchain-qdrant - # langsmith - # pydantic-settings - # qdrant-client -pydantic-core==2.41.5 \ - --hash=sha256:0177272f88ab8312479336e1d777f6b124537d47f2123f89cb37e0accea97f90 \ - --hash=sha256:01a3d0ab748ee531f4ea6c3e48ad9dac84ddba4b0d82291f87248f2f9de8d740 \ - --hash=sha256:03ca43e12fab6023fc79d28ca6b39b05f794ad08ec2feccc59a339b02f2b3d33 \ - --hash=sha256:08daa51ea16ad373ffd5e7606252cc32f07bc72b28284b6bc9c6df804816476e \ - --hash=sha256:0cbaad15cb0c90aa221d43c00e77bb33c93e8d36e0bf74760cd00e732d10a6a0 \ - --hash=sha256:112e305c3314f40c93998e567879e887a3160bb8689ef3d2c04b6cc62c33ac34 \ - --hash=sha256:1d1d9764366c73f996edd17abb6d9d7649a7eb690006ab6adbda117717099b14 \ - --hash=sha256:22f0fb8c1c583a3b6f24df2470833b40207e907b90c928cc8d3594b76f874375 \ - --hash=sha256:239edca560d05757817c13dc17c50766136d21f7cd0fac50295499ae24f90fdf \ - --hash=sha256:25e1c2af0fce638d5f1988b686f3b3ea8cd7de5f244ca147c777769e798a9cd1 \ - --hash=sha256:2782c870e99878c634505236d81e5443092fba820f0373997ff75f90f68cd553 \ - --hash=sha256:2a5e06546e19f24c6a96a129142a75cee553cc018ffee48a460059b1185f4470 \ - --hash=sha256:2b761d210c9ea91feda40d25b4efe82a1707da2ef62901466a42492c028553a2 \ - --hash=sha256:2ff4321e56e879ee8d2a879501c8e469414d948f4aba74a2d4593184eb326660 \ - --hash=sha256:3006c3dd9ba34b0c094c544c6006cc79e87d8612999f1a5d43b769b89181f23c \ - --hash=sha256:35b44f37a3199f771c3eaa53051bc8a70cd7b54f333531c59e29fd4db5d15008 \ - --hash=sha256:3f37a19d7ebcdd20b96485056ba9e8b304e27d9904d233d7b1015db320e51f0a \ - --hash=sha256:3f84d5c1b4ab906093bdc1ff10484838aca54ef08de4afa9de0f5f14d69639cd \ - --hash=sha256:406bf18d345822d6c21366031003612b9c77b3e29ffdb0f612367352aab7d586 \ - --hash=sha256:4819fa52133c9aa3c387b3328f25c1facc356491e6135b459f1de698ff64d869 \ - --hash=sha256:506d766a8727beef16b7adaeb8ee6217c64fc813646b424d0804d67c16eddb66 \ - --hash=sha256:5cb1b2f9742240e4bb26b652a5aeb840aa4b417c7748b6f8387927bc6e45e40d \ - --hash=sha256:63510af5e38f8955b8ee5687740d6ebf7c2a0886d15a6d65c32814613681bc07 \ - --hash=sha256:650ae77860b45cfa6e2cdafc42618ceafab3a2d9a3811fcfbd3bbf8ac3c40d36 \ - --hash=sha256:6561e94ba9dacc9c61bce40e2d6bdc3bfaa0259d3ff36ace3b1e6901936d2e3e \ - --hash=sha256:72f6c8b11857a856bcfa48c86f5368439f74453563f951e473514579d44aa612 \ - --hash=sha256:79ec52ec461e99e13791ec6508c722742ad745571f234ea6255bed38c6480f11 \ - --hash=sha256:80aa89cad80b32a912a65332f64a4450ed00966111b6615ca6816153d3585a8c \ - --hash=sha256:8566def80554c3faa0e65ac30ab0932b9e3a5cd7f8323764303d468e5c37595a \ - --hash=sha256:8e7c86f27c585ef37c35e56a96363ab8de4e549a95512445b85c96d3e2f7c1bf \ - --hash=sha256:915c3d10f81bec3a74fbd4faebe8391013ba61e5a1a8d48c4455b923bdda7858 \ - --hash=sha256:941103c9be18ac8daf7b7adca8228f8ed6bb7a1849020f643b3a14d15b1924d9 \ - --hash=sha256:97aeba56665b4c3235a0e52b2c2f5ae9cd071b8a8310ad27bddb3f7fb30e9aa2 \ - --hash=sha256:a39455728aabd58ceabb03c90e12f71fd30fa69615760a075b9fec596456ccc3 \ - --hash=sha256:aec5cf2fd867b4ff45b9959f8b20ea3993fc93e63c7363fe6851424c8a7e7c23 \ - --hash=sha256:b4ececa40ac28afa90871c2cc2b9ffd2ff0bf749380fbdf57d165fd23da353aa \ - --hash=sha256:b80aa5095cd3109962a298ce14110ae16b8c1aece8b72f9dafe81cf597ad80b3 \ - --hash=sha256:b93590ae81f7010dbe380cdeab6f515902ebcbefe0b9327cc4804d74e93ae69d \ - --hash=sha256:bd3d54f38609ff308209bd43acea66061494157703364ae40c951f83ba99a1a9 \ - --hash=sha256:d0d2568a8c11bf8225044aa94409e21da0cb09dcdafe9ecd10250b2baad531a9 \ - --hash=sha256:dc799088c08fa04e43144b164feb0c13f9a0bc40503f8df3e9fde58a3c0c101e \ - --hash=sha256:e56ba91f47764cc14f1daacd723e3e82d1a89d783f0f5afe9c364b8bb491ccdb \ - --hash=sha256:e672ba74fbc2dc8eea59fb6d4aed6845e6905fc2a8afe93175d94a83ba2a01a0 - # via pydantic -pydantic-settings==2.13.1 \ - --hash=sha256:b4c11847b15237fb0171e1462bf540e294affb9b86db4d9aa5c01730bdbe4025 \ - --hash=sha256:d56fd801823dbeae7f0975e1f8c8e25c258eb75d278ea7abb5d9cebb01b56237 - # via - # langchain-community - # maicro -python-dotenv==1.2.2 \ - --hash=sha256:1d8214789a24de455a8b8bd8ae6fe3c6b69a5e3d64aa8a8e5d68e694bbcb285a \ - --hash=sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3 - # via - # maicro - # pydantic-settings -pywin32==311 ; sys_platform == 'win32' \ - --hash=sha256:3aca44c046bd2ed8c90de9cb8427f581c479e594e99b5c0bb19b29c10fd6cb87 \ - --hash=sha256:718a38f7e5b058e76aee1c56ddd06908116d35147e133427e59a3983f703a20d \ - --hash=sha256:7b4075d959648406202d92a2310cb990fea19b535c7f4a78d3f5e10b926eeb8a \ - --hash=sha256:a508e2d9025764a8270f93111a970e1d0fbfc33f4153b388bb649b7eec4f9b42 \ - --hash=sha256:b7a2c10b93f8986666d0c803ee19b5990885872a7de910fc460f9b0c2fbf92ee \ - --hash=sha256:f95ba5a847cba10dd8c4d8fefa9f2a6cf283b8b88ed6178fa8a6c1ab16054d0d - # via portalocker -pyyaml==6.0.3 \ - --hash=sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c \ - --hash=sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3 \ - --hash=sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6 \ - --hash=sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65 \ - --hash=sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1 \ - --hash=sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310 \ - --hash=sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac \ - --hash=sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9 \ - --hash=sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7 \ - --hash=sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35 \ - --hash=sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb \ - --hash=sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065 \ - --hash=sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c \ - --hash=sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c \ - --hash=sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764 \ - --hash=sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac \ - --hash=sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8 \ - --hash=sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3 \ - --hash=sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5 \ - --hash=sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702 \ - --hash=sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788 \ - --hash=sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba \ - --hash=sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5 \ - --hash=sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26 \ - --hash=sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f \ - --hash=sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b \ - --hash=sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be \ - --hash=sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c \ - --hash=sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6 - # via - # langchain-classic - # langchain-community - # langchain-core -qdrant-client==1.17.0 \ - --hash=sha256:47eb033edb9be33a4babb4d87b0d8d5eaf03d52112dca0218db7f2030bf41ba9 \ - --hash=sha256:f5b452c68c42b3580d3d266446fb00d3c6e3aae89c916e16585b3c704e108438 - # via - # langchain-qdrant - # maicro -requests==2.32.5 \ - --hash=sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6 \ - --hash=sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf - # via - # google-auth - # google-genai - # langchain-classic - # langchain-community - # langsmith - # requests-toolbelt -requests-toolbelt==1.0.0 \ - --hash=sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6 \ - --hash=sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06 - # via langsmith -rsa==4.9.1 \ - --hash=sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762 \ - --hash=sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75 - # via google-auth -sniffio==1.3.1 \ - --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ - --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc - # via google-genai -sqlalchemy==2.0.48 \ - --hash=sha256:1182437cb2d97988cfea04cf6cdc0b0bb9c74f4d56ec3d08b81e23d621a28cc6 \ - --hash=sha256:144921da96c08feb9e2b052c5c5c1d0d151a292c6135623c6b2c041f2a45f9e0 \ - --hash=sha256:1ccd42229aaac2df431562117ac7e667d702e8e44afdb6cf0e50fa3f18160f0b \ - --hash=sha256:2645b7d8a738763b664a12a1542c89c940daa55196e8d73e55b169cc5c99f65f \ - --hash=sha256:288937433bd44e3990e7da2402fabc44a3c6c25d3704da066b85b89a85474ae0 \ - --hash=sha256:36ac4ddc3d33e852da9cb00ffb08cea62ca05c39711dc67062ca2bb1fae35fd8 \ - --hash=sha256:389b984139278f97757ea9b08993e7b9d1142912e046ab7d82b3fbaeb0209131 \ - --hash=sha256:426c5ca86415d9b8945c7073597e10de9644802e2ff502b8e1f11a7a2642856b \ - --hash=sha256:49b7bddc1eebf011ea5ab722fdbe67a401caa34a350d278cc7733c0e88fecb1f \ - --hash=sha256:5aee45fd2c6c0f2b9cdddf48c48535e7471e42d6fb81adfde801da0bd5b93241 \ - --hash=sha256:5b193a7e29fd9fa56e502920dca47dffe60f97c863494946bd698c6058a55658 \ - --hash=sha256:5ca74f37f3369b45e1f6b7b06afb182af1fd5dde009e4ffd831830d98cbe5fe7 \ - --hash=sha256:69f5bc24904d3bc3640961cddd2523e361257ef68585d6e364166dfbe8c78fae \ - --hash=sha256:7a936f1bb23d370b7c8cc079d5fce4c7d18da87a33c6744e51a93b0f9e97e9b3 \ - --hash=sha256:7cddca31edf8b0653090cbb54562ca027c421c58ddde2c0685f49ff56a1690e0 \ - --hash=sha256:8183dc57ae7d9edc1346e007e840a9f3d6aa7b7f165203a99e16f447150140d2 \ - --hash=sha256:9764014ef5e58aab76220c5664abb5d47d5bc858d9debf821e55cfdd0f128485 \ - --hash=sha256:a66fe406437dd65cacd96a72689a3aaaecaebbcd62d81c5ac1c0fdbeac835096 \ - --hash=sha256:b19151e76620a412c2ac1c6f977ab1b9fa7ad43140178345136456d5265b32ed \ - --hash=sha256:b8438ec5594980d405251451c5b7ea9aa58dda38eb7ac35fb7e4c696712ee24f \ - --hash=sha256:d612c976cbc2d17edfcc4c006874b764e85e990c29ce9bd411f926bbfb02b9a2 \ - --hash=sha256:d854b3970067297f3a7fbd7a4683587134aa9b3877ee15aa29eea478dc68f933 \ - --hash=sha256:e004aa9248e8cb0a5f9b96d003ca7c1c0a5da8decd1066e7b53f59eb8ce7c62b \ - --hash=sha256:e2d0d88686e3d35a76f3e15a34e8c12d73fc94c1dea1cd55782e695cc14086dd \ - --hash=sha256:e2f35b4cccd9ed286ad62e0a3c3ac21e06c02abc60e20aa51a3e305a30f5fa79 \ - --hash=sha256:e3070c03701037aa418b55d36532ecb8f8446ed0135acb71c678dbdf12f5b6e4 \ - --hash=sha256:f0dcbc588cd5b725162c076eb9119342f6579c7f7f55057bb7e3c6ff27e13121 \ - --hash=sha256:fd08b90d211c086181caed76931ecfa2bdfc83eea3cfccdb0f82abc6c4b876cb - # via - # langchain-classic - # langchain-community -tenacity==9.1.4 \ - --hash=sha256:6095a360c919085f28c6527de529e76a06ad89b23659fa881ae0649b867a9d55 \ - --hash=sha256:adb31d4c263f2bd041081ab33b498309a57c77f9acf2db65aadf0898179cf93a - # via - # google-genai - # langchain-community - # langchain-core -typing-extensions==4.15.0 \ - --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ - --hash=sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548 - # via - # google-genai - # grpcio - # langchain-core - # pydantic - # pydantic-core - # sqlalchemy - # typing-inspect - # typing-inspection -typing-inspect==0.9.0 \ - --hash=sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f \ - --hash=sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78 - # via dataclasses-json -typing-inspection==0.4.2 \ - --hash=sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7 \ - --hash=sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464 - # via - # pydantic - # pydantic-settings -urllib3==2.6.3 \ - --hash=sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed \ - --hash=sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4 - # via - # qdrant-client - # requests -uuid-utils==0.14.1 \ - --hash=sha256:043fb58fde6cf1620a6c066382f04f87a8e74feb0f95a585e4ed46f5d44af57b \ - --hash=sha256:0972488e3f9b449e83f006ead5a0e0a33ad4a13e4462e865b7c286ab7d7566a3 \ - --hash=sha256:1c238812ae0c8ffe77d8d447a32c6dfd058ea4631246b08b5a71df586ff08531 \ - --hash=sha256:60e0854a90d67f4b0cc6e54773deb8be618f4c9bad98d3326f081423b5d14fae \ - --hash=sha256:93a3b5dc798a54a1feb693f2d1cb4cf08258c32ff05ae4929b5f0a2ca624a4f0 \ - --hash=sha256:9bfc95f64af80ccf129c604fb6b8ca66c6f256451e32bc4570f760e4309c9b69 \ - --hash=sha256:b04cb49b42afbc4ff8dbc60cf054930afc479d6f4dd7f1ec3bbe5dbfdde06b7a \ - --hash=sha256:b54d6aa6252d96bac1fdbc80d26ba71bad9f220b2724d692ad2f2310c22ef523 \ - --hash=sha256:b56b0cacd81583834820588378e432b0696186683b813058b707aedc1e16c4b1 \ - --hash=sha256:bb3cf14de789097320a3c56bfdfdd51b1225d11d67298afbedee7e84e3837c96 \ - --hash=sha256:bec8f8ef627af86abf8298e7ec50926627e29b34fa907fcfbedb45aaa72bca43 \ - --hash=sha256:c915d53f22945e55fe0d3d3b0b87fd965a57f5fd15666fd92d6593a73b1dd297 \ - --hash=sha256:ccd65a4b8e83af23eae5e56d88034b2fe7264f465d3e830845f10d1591b81741 \ - --hash=sha256:ce6743ba194de3910b5feb1a62590cd2587e33a73ab6af8a01b642ceb5055862 \ - --hash=sha256:fc27638c2ce267a0ce3e06828aff786f91367f093c80625ee21dad0208e0f5ba - # via - # langchain-core - # langsmith -websockets==16.0 \ - --hash=sha256:152284a83a00c59b759697b7f9e9cddf4e3c7861dd0d964b472b70f78f89e80e \ - --hash=sha256:1637db62fad1dc833276dded54215f2c7fa46912301a24bd94d45d46a011ceec \ - --hash=sha256:19c4dc84098e523fd63711e563077d39e90ec6702aff4b5d9e344a60cb3c0cb1 \ - --hash=sha256:32da954ffa2814258030e5a57bc73a3635463238e797c7375dc8091327434206 \ - --hash=sha256:3425ac5cf448801335d6fdc7ae1eb22072055417a96cc6b31b3861f455fbc156 \ - --hash=sha256:50f23cdd8343b984957e4077839841146f67a3d31ab0d00e6b824e74c5b2f6e8 \ - --hash=sha256:52a0fec0e6c8d9a784c2c78276a48a2bdf099e4ccc2a4cad53b27718dbfd0230 \ - --hash=sha256:52ac480f44d32970d66763115edea932f1c5b1312de36df06d6b219f6741eed8 \ - --hash=sha256:569d01a4e7fba956c5ae4fc988f0d4e187900f5497ce46339c996dbf24f17641 \ - --hash=sha256:5a4b4cc550cb665dd8a47f868c8d04c8230f857363ad3c9caf7a0c3bf8c61ca6 \ - --hash=sha256:5f6261a5e56e8d5c42a4497b364ea24d94d9563e8fbd44e78ac40879c60179b5 \ - --hash=sha256:6e5a82b677f8f6f59e8dfc34ec06ca6b5b48bc4fcda346acd093694cc2c24d8f \ - --hash=sha256:781caf5e8eee67f663126490c2f96f40906594cb86b408a703630f95550a8c3e \ - --hash=sha256:878b336ac47938b474c8f982ac2f7266a540adc3fa4ad74ae96fea9823a02cc9 \ - --hash=sha256:8cc451a50f2aee53042ac52d2d053d08bf89bcb31ae799cb4487587661c038a0 \ - --hash=sha256:95724e638f0f9c350bb1c2b0a7ad0e83d9cc0c9259f3ea94e40d7b02a2179ae5 \ - --hash=sha256:a069d734c4a043182729edd3e9f247c3b2a4035415a9172fd0f1b71658a320a8 \ - --hash=sha256:a35539cacc3febb22b8f4d4a99cc79b104226a756aa7400adc722e83b0d03244 \ - --hash=sha256:a5e18a238a2b2249c9a9235466b90e96ae4795672598a58772dd806edc7ac6d3 \ - --hash=sha256:abf050a199613f64c886ea10f38b47770a65154dc37181bfaff70c160f45315a \ - --hash=sha256:b14dc141ed6d2dde437cddb216004bcac6a1df0935d79656387bd41632ba0bbd \ - --hash=sha256:b784ca5de850f4ce93ec85d3269d24d4c82f22b7212023c974c401d4980ebc5e \ - --hash=sha256:bc59589ab64b0022385f429b94697348a6a234e8ce22544e3681b2e9331b5944 \ - --hash=sha256:c0204dc62a89dc9d50d682412c10b3542d748260d743500a85c13cd1ee4bde82 \ - --hash=sha256:c0ee0e63f23914732c6d7e0cce24915c48f3f1512ec1d079ed01fc629dab269d \ - --hash=sha256:caab51a72c51973ca21fa8a18bd8165e1a0183f1ac7066a182ff27107b71e1a4 \ - --hash=sha256:daa3b6ff70a9241cf6c7fc9e949d41232d9d7d26fd3522b1ad2b4d62487e9904 \ - --hash=sha256:e6578ed5b6981005df1860a56e3617f14a6c307e6a71b4fff8c48fdc50f3ed2c \ - --hash=sha256:fd3cb4adb94a2a6e2b7c0d8d05cb94e6f1c81a0cf9dc2694fb65c7e8d94c42e4 - # via google-genai -xxhash==3.6.0 \ - --hash=sha256:01262da8798422d0685f7cef03b2bd3f4f46511b02830861df548d7def4402ad \ - --hash=sha256:016e9190af8f0a4e3741343777710e3d5717427f175adfdc3e72508f59e2a7f3 \ - --hash=sha256:0226aa89035b62b6a86d3c68df4d7c1f47a342b8683da2b60cedcddb46c4d95b \ - --hash=sha256:0444e7967dac37569052d2409b00a8860c2135cff05502df4da80267d384849f \ - --hash=sha256:0e4edbfc7d420925b0dd5e792478ed393d6e75ff8fc219a6546fb446b6a417b1 \ - --hash=sha256:1244460adc3a9be84731d72b8e80625788e5815b68da3da8b83f78115a40a7ec \ - --hash=sha256:1cf9dcc4ab9cff01dfbba78544297a3a01dafd60f3bde4e2bfd016cf7e4ddc67 \ - --hash=sha256:2577b276e060b73b73a53042ea5bd5203d3e6347ce0d09f98500f418a9fcf799 \ - --hash=sha256:25915e6000338999236f1eb68a02a32c3275ac338628a7eaa5a269c401995679 \ - --hash=sha256:39be8e4e142550ef69629c9cd71b88c90e9a5db703fecbcf265546d9536ca4ad \ - --hash=sha256:3cd01fa2aa00d8b017c97eb46b9a794fbdca53fc14f845f5a328c71254b0abb7 \ - --hash=sha256:3ed0df1b11a79856df5ffcab572cbd6b9627034c1c748c5566fa79df9048a7c5 \ - --hash=sha256:40c391dd3cd041ebc3ffe6f2c862f402e306eb571422e0aa918d8070ba31da11 \ - --hash=sha256:42c36dd7dbad2f5238950c377fcbf6811b1cdb1c444fab447960030cea60504d \ - --hash=sha256:457b8f85dec5825eed7b69c11ae86834a018b8e3df5e77783c999663da2f96d6 \ - --hash=sha256:4b54219177f6c6674d5378bd862c6aedf64725f70dd29c472eaae154df1a2e89 \ - --hash=sha256:4f6f72232f849eb9d0141e2ebe2677ece15adfd0fa599bc058aad83c714bb2c6 \ - --hash=sha256:51a73fb7cb3a3ead9f7a8b583ffd9b8038e277cdb8cb87cf890e88b3456afa0b \ - --hash=sha256:568a6d743219e717b07b4e03b0a828ce593833e498c3b64752e0f5df6bfe84db \ - --hash=sha256:5851f033c3030dd95c086b4a36a2683c2ff4a799b23af60977188b057e467119 \ - --hash=sha256:599e64ba7f67472481ceb6ee80fa3bd828fd61ba59fb11475572cc5ee52b89ec \ - --hash=sha256:5c1343d49ac102799905e115aee590183c3921d475356cb24b4de29a4bc56518 \ - --hash=sha256:5f059d9faeacd49c0215d66f4056e1326c80503f51a1532ca336a385edadd033 \ - --hash=sha256:6105ef7e62b5ac73a837778efc331a591d8442f8ef5c7e102376506cb4ae2729 \ - --hash=sha256:627f0af069b0ea56f312fd5189001c24578868643203bca1abbc2c52d3a6f3ca \ - --hash=sha256:63275a8aba7865e44b1813d2177e0f5ea7eadad3dd063a21f7cf9afdc7054063 \ - --hash=sha256:653a91d7c2ab54a92c19ccf43508b6a555440b9be1bc8be553376778be7f20b5 \ - --hash=sha256:6f2580ffab1a8b68ef2b901cde7e55fa8da5e4be0977c68f78fc80f3c143de42 \ - --hash=sha256:757320d45d2fbcce8f30c42a6b2f47862967aea7bf458b9625b4bbe7ee390392 \ - --hash=sha256:78e7f2f4c521c30ad5e786fdd6bae89d47a32672a80195467b5de0480aa97b1f \ - --hash=sha256:794fe9145fe60191c6532fa95063765529770edcdd67b3d537793e8004cabbfd \ - --hash=sha256:7d8b8aaa30fca4f16f0c84a5c8d7ddee0e25250ec2796c973775373257dde8f1 \ - --hash=sha256:858dc935963a33bc33490128edc1c12b0c14d9c7ebaa4e387a7869ecc4f3e263 \ - --hash=sha256:8cb2f4f679b01513b7adbb9b1b2f0f9cdc31b70007eaf9d59d0878809f385b11 \ - --hash=sha256:9176dcaddf4ca963d4deb93866d739a343c01c969231dbe21680e13a5d1a5bf0 \ - --hash=sha256:9b3222c686a919a0f3253cfc12bb118b8b103506612253b5baeaac10d8027cf6 \ - --hash=sha256:a40a3d35b204b7cc7643cbcf8c9976d818cb47befcfac8bbefec8038ac363f3e \ - --hash=sha256:a42e633d75cdad6d625434e3468126c73f13f7584545a9cf34e883aa1710e702 \ - --hash=sha256:a54844be970d3fc22630b32d515e79a90d0a3ddb2644d8d7402e3c4c8da61405 \ - --hash=sha256:a756fe893389483ee8c394d06b5ab765d96e68fbbfe6fde7aa17e11f5720559f \ - --hash=sha256:a881851cf38b0a70e7c4d3ce81fc7afd86fbc2a024f4cfb2a97cf49ce04b75d3 \ - --hash=sha256:aa912c62f842dfd013c5f21a642c9c10cd9f4c4e943e0af83618b4a404d9091a \ - --hash=sha256:b1e420ef35c503869c4064f4a2f2b08ad6431ab7b229a05cce39d74268bca6b8 \ - --hash=sha256:b45fad44d9c5c119e9c6fbf2e1c656a46dc68e280275007bbfd3d572b21426db \ - --hash=sha256:b465afd7909db30168ab62afe40b2fcf79eedc0b89a6c0ab3123515dc0df8b99 \ - --hash=sha256:b9c6df83594f7df8f7f708ce5ebeacfc69f72c9fbaaababf6cf4758eaada0c9b \ - --hash=sha256:ba284920194615cb8edf73bf52236ce2e1664ccd4a38fdb543506413529cc546 \ - --hash=sha256:bb79b1e63f6fd84ec778a4b1916dfe0a7c3fdb986c06addd5db3a0d413819d95 \ - --hash=sha256:bec91b562d8012dae276af8025a55811b875baace6af510412a5e58e3121bc54 \ - --hash=sha256:c1ce4009c97a752e682b897aa99aef84191077a9433eb237774689f14f8ec152 \ - --hash=sha256:c5294f596a9017ca5a3e3f8884c00b91ab2ad2933cf288f4923c3fd4346cf3d4 \ - --hash=sha256:c5aa639bc113e9286137cec8fadc20e9cd732b2cc385c0b7fa673b84fc1f2a93 \ - --hash=sha256:c6e193e9f56e4ca4923c61238cdaced324f0feac782544eb4c6d55ad5cc99ddd \ - --hash=sha256:d597acf8506d6e7101a4a44a5e428977a51c0fadbbfd3c39650cca9253f6e5a6 \ - --hash=sha256:d706dca2d24d834a4661619dcacf51a75c16d65985718d6a7d73c1eeeb903ddf \ - --hash=sha256:ec44b73a4220623235f67a996c862049f375df3b1052d9899f40a6382c32d746 \ - --hash=sha256:f01375c0e55395b814a679b3eea205db7919ac2af213f4a6682e01220e5fe292 \ - --hash=sha256:f0162a78b13a0d7617b2845b90c763339d1f1d82bb04a4b07f4ab535cc5e05d6 \ - --hash=sha256:f205badabde7aafd1a31e8ca2a3e5a763107a71c397c4481d6a804eb5063d8bd \ - --hash=sha256:f22927652cba98c44639ffdc7aaf35828dccf679b10b31c4ad72a5b530a18eb7 \ - --hash=sha256:fba27a198363a7ef87f8c0f6b171ec36b674fe9053742c58dd7e3201c1ab30ee - # via langsmith -yarl==1.23.0 \ - --hash=sha256:041b1a4cefacf65840b4e295c6985f334ba83c30607441ae3cf206a0eed1a2e4 \ - --hash=sha256:0793e2bd0cf14234983bbb371591e6bea9e876ddf6896cdcc93450996b0b5c85 \ - --hash=sha256:115136c4a426f9da976187d238e84139ff6b51a20839aa6e3720cd1026d768de \ - --hash=sha256:16c6994ac35c3e74fb0ae93323bf8b9c2a9088d55946109489667c510a7d010e \ - --hash=sha256:17235362f580149742739cc3828b80e24029d08cbb9c4bda0242c7b5bc610a8e \ - --hash=sha256:1b6b572edd95b4fa8df75de10b04bc81acc87c1c7d16bcdd2035b09d30acc957 \ - --hash=sha256:1c57676bdedc94cd3bc37724cf6f8cd2779f02f6aba48de45feca073e714fe52 \ - --hash=sha256:21d1b7305a71a15b4794b5ff22e8eef96ff4a6d7f9657155e5aa419444b28912 \ - --hash=sha256:23f371bd662cf44a7630d4d113101eafc0cfa7518a2760d20760b26021454719 \ - --hash=sha256:2569b67d616eab450d262ca7cb9f9e19d2f718c70a8b88712859359d0ab17035 \ - --hash=sha256:2803ed8b21ca47a43da80a6fd1ed3019d30061f7061daa35ac54f63933409412 \ - --hash=sha256:2e27c8841126e017dd2a054a95771569e6070b9ee1b133366d8b31beb5018a41 \ - --hash=sha256:34b6cf500e61c90f305094911f9acc9c86da1a05a7a3f5be9f68817043f486e4 \ - --hash=sha256:3650dc2480f94f7116c364096bc84b1d602f44224ef7d5c7208425915c0475dd \ - --hash=sha256:39004f0ad156da43e86aa71f44e033de68a44e5a31fc53507b36dd253970054a \ - --hash=sha256:394906945aa8b19fc14a61cf69743a868bb8c465efe85eee687109cc540b98f4 \ - --hash=sha256:44bb7bef4ea409384e3f8bc36c063d77ea1b8d4a5b2706956c0d6695f07dcc25 \ - --hash=sha256:4503053d296bc6e4cbd1fad61cf3b6e33b939886c4f249ba7c78b602214fabe2 \ - --hash=sha256:4966242ec68afc74c122f8459abd597afd7d8a60dc93d695c1334c5fd25f762f \ - --hash=sha256:4a42e651629dafb64fd5b0286a3580613702b5809ad3f24934ea87595804f2c5 \ - --hash=sha256:5023346c4ee7992febc0068e7593de5fa2bf611848c08404b35ebbb76b1b0512 \ - --hash=sha256:50f9d8d531dfb767c565f348f33dd5139a6c43f5cbdf3f67da40d54241df93f6 \ - --hash=sha256:531ef597132086b6cf96faa7c6c1dcd0361dd5f1694e5cc30375907b9b7d3ea9 \ - --hash=sha256:53b1ea6ca88ebd4420379c330aea57e258408dd0df9af0992e5de2078dc9f5d5 \ - --hash=sha256:575aa4405a656e61a540f4a80eaa5260f2a38fff7bfdc4b5f611840d76e9e277 \ - --hash=sha256:578110dd426f0d209d1509244e6d4a3f1a3e9077655d98c5f22583d63252a08a \ - --hash=sha256:5ee586fb17ff8f90c91cf73c6108a434b02d69925f44f5f8e0d7f2f260607eae \ - --hash=sha256:609d3614d78d74ebe35f54953c5bbd2ac647a7ddb9c30a5d877580f5e86b22f2 \ - --hash=sha256:62694e275c93d54f7ccedcfef57d42761b2aad5234b6be1f3e3026cae4001cd4 \ - --hash=sha256:63e92247f383c85ab00dd0091e8c3fa331a96e865459f5ee80353c70a4a42d70 \ - --hash=sha256:682bae25f0a0dd23a056739f23a134db9f52a63e2afd6bfb37ddc76292bbd723 \ - --hash=sha256:6f0fd84de0c957b2d280143522c4f91a73aada1923caee763e24a2b3fda9f8a5 \ - --hash=sha256:70efd20be968c76ece7baa8dafe04c5be06abc57f754d6f36f3741f7aa7a208e \ - --hash=sha256:71d006bee8397a4a89f469b8deb22469fe7508132d3c17fa6ed871e79832691c \ - --hash=sha256:73309162a6a571d4cbd3b6a1dcc703c7311843ae0d1578df6f09be4e98df38d4 \ - --hash=sha256:76855800ac56f878847a09ce6dba727c93ca2d89c9e9d63002d26b916810b0a2 \ - --hash=sha256:7c6b9461a2a8b47c65eef63bb1c76a4f1c119618ffa99ea79bc5bb1e46c5821b \ - --hash=sha256:85610b4f27f69984932a7abbe52703688de3724d9f72bceb1cca667deff27474 \ - --hash=sha256:88f9fb0116fbfcefcab70f85cf4b74a2b6ce5d199c41345296f49d974ddb4123 \ - --hash=sha256:93a784271881035ab4406a172edb0faecb6e7d00f4b53dc2f55919d6c9688595 \ - --hash=sha256:94f8575fbdf81749008d980c17796097e645574a3b8c28ee313931068dad14fe \ - --hash=sha256:95451e6ce06c3e104556d73b559f5da6c34a069b6b62946d3ad66afcd51642ea \ - --hash=sha256:9a18d6f9359e45722c064c97464ec883eb0e0366d33eda61cb19a244bf222679 \ - --hash=sha256:a0e317df055958a0c1e79e5d2aa5a5eaa4a6d05a20d4b0c9c3f48918139c9fc6 \ - --hash=sha256:a2df6afe50dea8ae15fa34c9f824a3ee958d785fd5d089063d960bae1daa0a3f \ - --hash=sha256:a31de1613658308efdb21ada98cbc86a97c181aa050ba22a808120bb5be3ab94 \ - --hash=sha256:a41bcf68efd19073376eb8cf948b8d9be0af26256403e512bb18f3966f1f9120 \ - --hash=sha256:a82836cab5f197a0514235aaf7ffccdc886ccdaa2324bc0aafdd4ae898103039 \ - --hash=sha256:a8d00f29b42f534cc8aa3931cfe773b13b23e561e10d2b26f27a8d309b0e82a1 \ - --hash=sha256:ac09d42f48f80c9ee1635b2fcaa819496a44502737660d3c0f2ade7526d29144 \ - --hash=sha256:aecfed0b41aa72b7881712c65cf764e39ce2ec352324f5e0837c7048d9e6daaa \ - --hash=sha256:baaf55442359053c7d62f6f8413a62adba3205119bcb6f49594894d8be47e5e3 \ - --hash=sha256:bd654fad46d8d9e823afbb4f87c79160b5a374ed1ff5bde24e542e6ba8f41434 \ - --hash=sha256:c4a80f77dc1acaaa61f0934176fccca7096d9b1ff08c8ba9cddf5ae034a24319 \ - --hash=sha256:c7f8dc16c498ff06497c015642333219871effba93e4a2e8604a06264aca5c5c \ - --hash=sha256:c8aa34a5c864db1087d911a0b902d60d203ea3607d91f615acd3f3108ac32169 \ - --hash=sha256:cde9a2ecd91668bcb7f077c4966d8ceddb60af01b52e6e3e2680e4cf00ad1a59 \ - --hash=sha256:d1009abedb49ae95b136a8904a3f71b342f849ffeced2d3747bf29caeda218c4 \ - --hash=sha256:d38c1e8231722c4ce40d7593f28d92b5fc72f3e9774fe73d7e800ec32299f63a \ - --hash=sha256:d53834e23c015ee83a99377db6e5e37d8484f333edb03bd15b4bc312cc7254fb \ - --hash=sha256:d7504f2b476d21653e4d143f44a175f7f751cd41233525312696c76aa3dbb23f \ - --hash=sha256:dd00607bffbf30250fe108065f07453ec124dbf223420f57f5e749b04295e090 \ - --hash=sha256:e09fd068c2e169a7070d83d3bde728a4d48de0549f975290be3c108c02e499b4 \ - --hash=sha256:e0fd068364a6759bc794459f0a735ab151d11304346332489c7972bacbe9e72b \ - --hash=sha256:e5723c01a56c5028c807c701aa66722916d2747ad737a046853f6c46f4875543 \ - --hash=sha256:e7b0460976dc75cb87ad9cc1f9899a4b97751e7d4e77ab840fc9b6d377b8fd24 \ - --hash=sha256:e9d9a4d06d3481eab79803beb4d9bd6f6a8e781ec078ac70d7ef2dcc29d1bea5 \ - --hash=sha256:ead11956716a940c1abc816b7df3fa2b84d06eaed8832ca32f5c5e058c65506b \ - --hash=sha256:f40e782d49630ad384db66d4d8b73ff4f1b8955dc12e26b09a3e3af064b3b9d6 \ - --hash=sha256:f514f6474e04179d3d33175ed3f3e31434d3130d42ec153540d5b157deefd735 \ - --hash=sha256:fb1e8b8d66c278b21d13b0a7ca22c41dd757a7c209c6b12c313e445c31dd3b28 \ - --hash=sha256:fb4948814a2a98e3912505f09c9e7493b1506226afb1f881825368d6fb776ee3 \ - --hash=sha256:fda207c815b253e34f7e1909840fd14299567b1c0eb4908f8c2ce01a41265401 \ - --hash=sha256:fe8f8f5e70e6dbdfca9882cd9deaac058729bcf323cf7a58660901e55c9c94f6 - # via aiohttp -zstandard==0.25.0 \ - --hash=sha256:05df5136bc5a011f33cd25bc9f506e7426c0c9b3f9954f056831ce68f3b6689f \ - --hash=sha256:0be7622c37c183406f3dbf0cba104118eb16a4ea7359eeb5752f0794882fc250 \ - --hash=sha256:1673b7199bbe763365b81a4f3252b8e80f44c9e323fc42940dc8843bfeaf9851 \ - --hash=sha256:172de1f06947577d3a3005416977cce6168f2261284c02080e7ad0185faeced3 \ - --hash=sha256:1f830a0dac88719af0ae43b8b2d6aef487d437036468ef3c2ea59c51f9d55fd5 \ - --hash=sha256:223415140608d0f0da010499eaa8ccdb9af210a543fac54bce15babbcfc78439 \ - --hash=sha256:2e54296a283f3ab5a26fc9b8b5d4978ea0532f37b231644f367aa588930aa043 \ - --hash=sha256:3a39c94ad7866160a4a46d772e43311a743c316942037671beb264e395bdd611 \ - --hash=sha256:3c83b0188c852a47cd13ef3bf9209fb0a77fa5374958b8c53aaa699398c6bd7b \ - --hash=sha256:4203ce3b31aec23012d3a4cf4a2ed64d12fea5269c49aed5e4c3611b938e4088 \ - --hash=sha256:457ed498fc58cdc12fc48f7950e02740d4f7ae9493dd4ab2168a47c93c31298e \ - --hash=sha256:4f187a0bb61b35119d1926aee039524d1f93aaf38a9916b8c4b78ac8514a0aaf \ - --hash=sha256:5f5e4c2a23ca271c218ac025bd7d635597048b366d6f31f420aaeb715239fc98 \ - --hash=sha256:7030defa83eef3e51ff26f0b7bfb229f0204b66fe18e04359ce3474ac33cbc09 \ - --hash=sha256:7713e1179d162cf5c7906da876ec2ccb9c3a9dcbdffef0cc7f70c3667a205f0b \ - --hash=sha256:85304a43f4d513f5464ceb938aa02c1e78c2943b29f44a750b48b25ac999a049 \ - --hash=sha256:8e735494da3db08694d26480f1493ad2cf86e99bdd53e8e9771b2752a5c0246a \ - --hash=sha256:9654dbc012d8b06fc3d19cc825af3f7bf8ae242226df5f83936cb39f5fdc846c \ - --hash=sha256:a1a4ae2dec3993a32247995bdfe367fc3266da832d82f8438c8570f989753de1 \ - --hash=sha256:a4089a10e598eae6393756b036e0f419e8c1d60f44a831520f9af41c14216cf2 \ - --hash=sha256:a9ec8c642d1ec73287ae3e726792dd86c96f5681eb8df274a757bf62b750eae7 \ - --hash=sha256:bfc4e20784722098822e3eee42b8e576b379ed72cca4a7cb856ae733e62192ea \ - --hash=sha256:c19bcdd826e95671065f8692b5a4aa95c52dc7a02a4c5a0cac46deb879a017a2 \ - --hash=sha256:ca54090275939dc8ec5dea2d2afb400e0f83444b2fc24e07df7fdef677110859 \ - --hash=sha256:d7541afd73985c630bafcd6338d2518ae96060075f9463d7dc14cfb33514383d \ - --hash=sha256:da469dc041701583e34de852d8634703550348d5822e66a0c827d39b05365b12 \ - --hash=sha256:e09bb6252b6476d8d56100e8147b803befa9a12cea144bbe629dd508800d1ad0 \ - --hash=sha256:e29f0cf06974c899b2c188ef7f783607dbef36da4c242eb6c82dcd8b512855e3 \ - --hash=sha256:e96594a5537722fdfb79951672a2a63aec5ebfb823e7560586f7484819f2a08f \ - --hash=sha256:ec996f12524f88e151c339688c3897194821d7f03081ab35d31d1e12ec975e94 \ - --hash=sha256:f604efd28f239cc21b3adb53eb061e2a205dc164be408e553b41ba2ffe0ca15c \ - --hash=sha256:f67e8f1a324a900e75b5e28ffb152bcac9fbed1cc7b43f99cd90f395c4375344 \ - --hash=sha256:fd7a5004eb1980d3cefe26b2685bcb0b17989901a70a1040d1ac86f1d898c551 - # via langsmith From 460fba31da940be9548f742b25a8a67f30a2d906 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 02:05:22 +0100 Subject: [PATCH 036/127] fix: remove discord_fetcher.py for cleaner code --- app/core/discord_fetcher.py | 17 ----------------- 1 file changed, 17 deletions(-) diff --git a/app/core/discord_fetcher.py b/app/core/discord_fetcher.py index f85f1b0..ccf6937 100644 --- a/app/core/discord_fetcher.py +++ b/app/core/discord_fetcher.py @@ -1,10 +1,3 @@ -""" -Discord channel message fetcher. - -Uses Discord's REST API directly via aiohttp — no bot framework needed. -Only requires a bot token with "Read Message History" permission. -""" - import aiohttp from typing import Optional @@ -26,12 +19,6 @@ async def fetch_channel_messages( channel_id: str, limit: int = 100, ) -> list[dict]: - """ - Fetch up to `limit` messages from a Discord channel. - - Handles pagination automatically to fetch beyond the 100-per-request cap. - Returns messages newest-first, each as a raw Discord message dict. - """ headers = {"Authorization": f"Bot {bot_token}"} all_messages: list[dict] = [] before: Optional[str] = None @@ -72,10 +59,6 @@ async def fetch_all_channels( channel_ids: list[str], limit_per_channel: int = 100, ) -> dict[str, list[dict]]: - """ - Fetch messages from multiple channels. - Returns {channel_id: [messages]}. - """ results: dict[str, list[dict]] = {} for cid in channel_ids: results[cid] = await fetch_channel_messages(bot_token, cid, limit_per_channel) From f6fe2d37a8501eed3303872cc30cbdcb9316b380 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 02:14:10 +0100 Subject: [PATCH 037/127] Add entrypoints for asking questions and ingesting data - Implemented `ask_main` function to handle command line questions to mAIcro. - Added validation for LLM provider and required API keys. - Implemented `ingest_main` function to ingest announcements data from a JSON file. - Included error handling for missing API keys and ingestion failures. --- README.md | 17 + app/cli.py | 58 +++ app/services/__init__.py | 1 - ask.py | 40 +- ingest.py | 40 +- pyproject.toml | 34 +- uv.lock | 1044 +++++++++++++++++++++++++++++++++----- 7 files changed, 1030 insertions(+), 204 deletions(-) create mode 100644 app/cli.py delete mode 100644 app/services/__init__.py diff --git a/README.md b/README.md index 52408a9..585541e 100644 --- a/README.md +++ b/README.md @@ -11,6 +11,23 @@ uv run uvicorn main:app --reload Do not use `pip install -r requirements.txt`. +## CLI Usage + +After `uv sync`, you can run: + +```bash +uv run maicro-ask "When is the next event?" +uv run maicro-ingest +``` + +## Package Publishing Notes + +This repository is structured for packaging from `pyproject.toml`. + +```bash +uv build +``` + ## Overview **mAIcro** is an open-source AI service designed to help organizations centralize information and answer questions based on their internal data. diff --git a/app/cli.py b/app/cli.py new file mode 100644 index 0000000..eec412c --- /dev/null +++ b/app/cli.py @@ -0,0 +1,58 @@ +"""CLI entrypoints for mAIcro.""" + +import os +import sys + +from app.core.config import settings +from app.services.qa_service import AskError, ask_question + + +def ask_main() -> None: + """Ask mAIcro a question from the command line.""" + if len(sys.argv) > 1: + question = " ".join(sys.argv[1:]) + else: + question = input("Ask mAIcro: ") + + provider = settings.LLM_PROVIDER.lower().strip() + if provider == "anthropic" and not settings.ANTHROPIC_API_KEY: + print("Error: ANTHROPIC_API_KEY not found in .env. Please set it to run.") + raise SystemExit(1) + + if provider == "google" and not settings.GOOGLE_API_KEY: + print("Error: GOOGLE_API_KEY not found in .env. Please set it to run.") + raise SystemExit(1) + + if provider == "groq" and not settings.GROQ_API_KEY: + print("Error: GROQ_API_KEY not found in .env. Please set it to run.") + raise SystemExit(1) + + if provider not in {"google", "anthropic", "groq"}: + print("Error: LLM_PROVIDER must be 'google', 'anthropic', or 'groq'.") + raise SystemExit(1) + + try: + answer = ask_question(question) + print(f"\nAnswer: {answer}") + except AskError as exc: + print(f"Error: {exc}") + raise SystemExit(2) from exc + + +def ingest_main() -> None: + """Ingest default announcements data from the command line.""" + from app.core.ingestion import ingest_from_json + + if not settings.GOOGLE_API_KEY: + print( + "Error: GOOGLE_API_KEY not found in .env. " + "Ingestion embeddings currently use Google." + ) + raise SystemExit(1) + + try: + count = ingest_from_json("data/announcements.json") + print(f"Ingestion complete. Documents ingested: {count}") + except Exception as exc: + print(f"Error: {exc}") + raise SystemExit(2) from exc diff --git a/app/services/__init__.py b/app/services/__init__.py deleted file mode 100644 index 9415f6b..0000000 --- a/app/services/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""Application service layer.""" diff --git a/ask.py b/ask.py index d26d161..78cc230 100644 --- a/ask.py +++ b/ask.py @@ -1,41 +1,5 @@ -import sys +from app.cli import ask_main -from app.core.config import settings -from app.services.qa_service import AskError, ask_question if __name__ == "__main__": - if len(sys.argv) > 1: - question = " ".join(sys.argv[1:]) - else: - question = input("Ask mAIcro: ") - - provider = settings.LLM_PROVIDER.lower().strip() - if provider == "anthropic" and not settings.ANTHROPIC_API_KEY: - print("Error: ANTHROPIC_API_KEY not found in .env. Please set it to run.") - sys.exit(1) - - if provider == "google" and not settings.GOOGLE_API_KEY: - print("Error: GOOGLE_API_KEY not found in .env. Please set it to run.") - sys.exit(1) - - if provider == "groq" and not settings.GROQ_API_KEY: - print("Error: GROQ_API_KEY not found in .env. Please set it to run.") - sys.exit(1) - - if provider not in {"google", "anthropic", "groq"}: - print("Error: LLM_PROVIDER must be 'google', 'anthropic', or 'groq'.") - sys.exit(1) - - if not settings.GOOGLE_API_KEY: - print( - "Error: GOOGLE_API_KEY not found in .env. " - "Embeddings still use Google in the current setup." - ) - sys.exit(1) - - try: - answer = ask_question(question) - print(f"\nAnswer: {answer}") - except AskError as exc: - print(f"Error: {exc}") - sys.exit(2) + ask_main() diff --git a/ingest.py b/ingest.py index a43ee53..dc56104 100644 --- a/ingest.py +++ b/ingest.py @@ -1,41 +1,5 @@ -import json -import os -from langchain_core.documents import Document -from qdrant_client import QdrantClient -from langchain_qdrant import QdrantVectorStore -from app.core.llm_provider import get_embeddings -from app.core.config import settings +from app.cli import ingest_main -def ingest_data(file_path: str): - if not os.path.exists(file_path): - print(f"Error: {file_path} not found.") - return - - with open(file_path, "r") as f: - data = json.load(f) - - documents = [] - for item in data: - content = f"{item['title']}\n{item['content']}" - metadata = {"date": item.get("date", ""), "title": item["title"]} - documents.append(Document(page_content=content, metadata=metadata)) - - print(f"Ingesting {len(documents)} documents into Qdrant (local mode)...") - - # Simple direct ingestion using the class method - QdrantVectorStore.from_documents( - documents=documents, - embedding=get_embeddings(), - path="local_qdrant", - collection_name=settings.COLLECTION_NAME, - ) - print("Ingestion complete!") if __name__ == "__main__": - if not settings.GOOGLE_API_KEY: - print( - "Error: GOOGLE_API_KEY not found in .env. " - "Ingestion embeddings currently use Google." - ) - os._exit(1) - ingest_data("data/announcements.json") + ingest_main() diff --git a/pyproject.toml b/pyproject.toml index b6b96ca..c763330 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,18 +1,48 @@ +[build-system] +requires = ["hatchling>=1.25.0"] +build-backend = "hatchling.build" + [project] name = "maicro" version = "0.1.0" -description = "Add your description here" +description = "mAIcro is an open-source AI service designed to help organizations centralize information and answer questions based on their internal data." readme = "README.md" -requires-python = ">=3.13" +requires-python = ">=3.10" +authors = [ + { name = "mAIcro Contributors" } +] +keywords = ["ai", "rag", "fastapi", "qdrant", "discord", "langchain"] +classifiers = [ + "Development Status :: 3 - Alpha", + "Intended Audience :: Developers", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "Framework :: FastAPI", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", +] dependencies = [ + "aiohttp>=3.13.3", + "fastapi>=0.115.0", "google-generativeai>=0.8.6", "langchain-anthropic>=1.1.0", "langchain>=1.2.10", "langchain-community>=0.4.1", "langchain-core>=1.2.17", + "langchain-groq>=1.0.1", "langchain-google-genai>=4.2.1", "langchain-qdrant>=1.1.0", "pydantic-settings>=2.13.1", "python-dotenv>=1.2.2", "qdrant-client>=1.17.0", + "uvicorn>=0.35.0", ] + +[project.scripts] +maicro-ask = "app.cli:ask_main" +maicro-ingest = "app.cli:ingest_main" + +[tool.hatch.build.targets.wheel] +packages = ["app"] diff --git a/uv.lock b/uv.lock index 39949dc..8877d18 100644 --- a/uv.lock +++ b/uv.lock @@ -1,9 +1,12 @@ version = 1 revision = 3 -requires-python = ">=3.13" +requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.14'", - "python_full_version < 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QdrantVectorStore.from_documents( - documents=documents, - embedding=get_embeddings(), - path="local_qdrant", - collection_name=settings.COLLECTION_NAME, - ) + vector_store = get_vector_store() + vector_store.add_documents(documents) return len(documents) diff --git a/local_qdrant/collection/microclub_knowledge/storage.sqlite b/local_qdrant/collection/microclub_knowledge/storage.sqlite index 43ddb7bf503f7e2498ed804ef4dc34b7905d2142..960b863cf345b03fd5764aad8cf66ef1b58c223e 100644 GIT binary patch delta 205262 zcmXtfcRZHw`@WfssHDh@6otyJ@YuI4lD+rJ-s`bf_R7pGy(R4;TN~K6xv}C3`z`oKjRpT4-<&_lzh97z zd5Vf->@hgihfg14Mu3B2at!JOYOzUz>;hegDxFave{ zP<=C<)B2vq9+syqJq!pVDMK@3Z;J?b4}C(@)4)?((pybhkqu*Z9wv+=_0?4*^*y~p zEzC5%4NZ*Q^-c6;ED3|th9+KzElr#x4NWY)4NjYSZ46@lzd;t^h9=(b2I?wOhUyyl z&nVo&Ohd-fL_1tx-7UgU-4uV*^sw-BlHM4!<$tR?C23&djtO);4NdfqSgIR)84w!M znCyrpp)F-#Vtm>_UHh=Uq_OA57?%HyQNjOfgjsm%M_8&Gco?V~Ng6~LNgGI7gjtvv z$rz|>NaK4iOLdE|jWPch1xpW0GfQ`i2u*JbGb1SjPa`RP$y3snr}ZTbh*O~!5vJZ4 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Mar 2026 02:44:36 +0100 Subject: [PATCH 039/127] fix: streamline LLM provider checks and remove Groq fallback logic for cleaner code --- app/cli.py | 15 ++-------- app/core/llm_provider.py | 56 ++++++++++---------------------------- app/services/qa_service.py | 21 -------------- 3 files changed, 18 insertions(+), 74 deletions(-) diff --git a/app/cli.py b/app/cli.py index eec412c..9e6cb2d 100644 --- a/app/cli.py +++ b/app/cli.py @@ -1,6 +1,5 @@ """CLI entrypoints for mAIcro.""" -import os import sys from app.core.config import settings @@ -15,22 +14,14 @@ def ask_main() -> None: question = input("Ask mAIcro: ") provider = settings.LLM_PROVIDER.lower().strip() - if provider == "anthropic" and not settings.ANTHROPIC_API_KEY: - print("Error: ANTHROPIC_API_KEY not found in .env. Please set it to run.") + if provider != "google": + print("Error: only Gemini is supported. Set LLM_PROVIDER=google in .env.") raise SystemExit(1) - if provider == "google" and not settings.GOOGLE_API_KEY: + if not settings.GOOGLE_API_KEY: print("Error: GOOGLE_API_KEY not found in .env. Please set it to run.") raise SystemExit(1) - if provider == "groq" and not settings.GROQ_API_KEY: - print("Error: GROQ_API_KEY not found in .env. Please set it to run.") - raise SystemExit(1) - - if provider not in {"google", "anthropic", "groq"}: - print("Error: LLM_PROVIDER must be 'google', 'anthropic', or 'groq'.") - raise SystemExit(1) - try: answer = ask_question(question) print(f"\nAnswer: {answer}") diff --git a/app/core/llm_provider.py b/app/core/llm_provider.py index e66a213..b2e59ff 100644 --- a/app/core/llm_provider.py +++ b/app/core/llm_provider.py @@ -5,49 +5,24 @@ class ConfigurationError(ValueError): """Raised when model providers are misconfigured.""" -def get_llm(provider_override: str | None = None): - provider = (provider_override or settings.LLM_PROVIDER).lower().strip() - - if provider == "anthropic": - from langchain_anthropic import ChatAnthropic - - if not settings.ANTHROPIC_API_KEY: - raise ConfigurationError("ANTHROPIC_API_KEY not found in .env.") - - model_name = settings.MODEL_NAME or settings.ANTHROPIC_MODEL_NAME - return ChatAnthropic( - model=model_name, - anthropic_api_key=settings.ANTHROPIC_API_KEY, - temperature=0, - ) - - if provider == "google": - from langchain_google_genai import ChatGoogleGenerativeAI - - if not settings.GOOGLE_API_KEY: - raise ConfigurationError("GOOGLE_API_KEY not found in .env.") - - model_name = settings.MODEL_NAME or settings.GOOGLE_MODEL_NAME - return ChatGoogleGenerativeAI( - model=model_name, - google_api_key=settings.GOOGLE_API_KEY, - temperature=0, +def get_llm(): + provider = settings.LLM_PROVIDER.lower().strip() + if provider != "google": + raise ConfigurationError( + "Only Gemini is supported in this build. Set LLM_PROVIDER=google in .env." ) - if provider == "groq": - from langchain_groq import ChatGroq - - if not settings.GROQ_API_KEY: - raise ConfigurationError("GROQ_API_KEY not found in .env.") + from langchain_google_genai import ChatGoogleGenerativeAI - model_name = settings.MODEL_NAME or settings.GROQ_MODEL_NAME - return ChatGroq( - model=model_name, - api_key=settings.GROQ_API_KEY, - temperature=0, - ) + if not settings.GOOGLE_API_KEY: + raise ConfigurationError("GOOGLE_API_KEY not found in .env.") - raise ConfigurationError("Unsupported LLM_PROVIDER. Use 'google', 'anthropic', or 'groq'.") + model_name = settings.MODEL_NAME or settings.GOOGLE_MODEL_NAME + return ChatGoogleGenerativeAI( + model=model_name, + google_api_key=settings.GOOGLE_API_KEY, + temperature=0, + ) def get_embeddings(): from langchain_google_genai import GoogleGenerativeAIEmbeddings @@ -55,8 +30,7 @@ def get_embeddings(): if not settings.GOOGLE_API_KEY: raise ConfigurationError( "GOOGLE_API_KEY not found in .env. " - "Embeddings are currently configured to use Google embeddings even when " - "LLM_PROVIDER is set to another provider (for example, groq)." + "Gemini embeddings require a valid Google API key." ) return GoogleGenerativeAIEmbeddings( diff --git a/app/services/qa_service.py b/app/services/qa_service.py index 775cdea..159ec37 100644 --- a/app/services/qa_service.py +++ b/app/services/qa_service.py @@ -10,7 +10,6 @@ from langchain_core.output_parsers import StrOutputParser from langchain_core.runnables import RunnableLambda, RunnablePassthrough -from app.core.config import settings from app.core.llm_provider import ConfigurationError, get_llm from app.core.prompt_template import build_rag_prompt_template from app.core.vector_store import get_vector_store @@ -43,11 +42,6 @@ def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEO executor.shutdown(wait=False, cancel_futures=True) -def _should_failover_to_groq(message: str) -> bool: - lowered = message.lower() - return any(token in lowered for token in ["quota", "rate limit", "429", "timed out"]) - - @lru_cache(maxsize=1) def _load_local_announcements_docs() -> list[Document]: """Load local announcements as a fallback knowledge source.""" @@ -188,20 +182,5 @@ def _build_chain(model): try: return _invoke_with_timeout(chain, question) - except AskError as exc: - # If Google is rate-limited, retry once with Groq when its key exists. - if ( - settings.LLM_PROVIDER.lower().strip() == "google" - and settings.GROQ_API_KEY - and _should_failover_to_groq(str(exc)) - ): - try: - fallback_llm = get_llm(provider_override="groq") - fallback_chain = _build_chain(fallback_llm) - return _invoke_with_timeout(fallback_chain, question) - except Exception as fallback_exc: - raise AskError(_format_llm_error(fallback_exc)) from fallback_exc - - raise except Exception as exc: raise AskError(_format_llm_error(exc)) from exc From 7a5d7fee206c3d53db4ed8ab338ca4a0cf32536c Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 02:51:44 +0100 Subject: [PATCH 040/127] feat: migrate mAIcro to Gemini-only, harden ingestion, and prep OSS packaging --- .env.example | 3 +- README.md | 2 + app/core/config.py | 4 - app/services/qa_service.py | 4 +- pyproject.toml | 2 - uv.lock | 173 ------------------------------------- 6 files changed, 5 insertions(+), 183 deletions(-) diff --git a/.env.example b/.env.example index 5ceca42..f7e489e 100644 --- a/.env.example +++ b/.env.example @@ -1,5 +1,4 @@ -LLM_PROVIDER= -GROQ_API_KEY= +LLM_PROVIDER=google DISCORD_BOT_TOKEN= DISCORD_CHANNEL_IDS= GOOGLE_API_KEY= \ No newline at end of file diff --git a/README.md b/README.md index 585541e..71ca19f 100644 --- a/README.md +++ b/README.md @@ -11,6 +11,8 @@ uv run uvicorn main:app --reload Do not use `pip install -r requirements.txt`. +This build is **Gemini-only**: set `LLM_PROVIDER=google` and configure `GOOGLE_API_KEY`. + ## CLI Usage After `uv sync`, you can run: diff --git a/app/core/config.py b/app/core/config.py index 4b039b9..803c226 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -13,12 +13,8 @@ class Settings(BaseSettings): # AI Settings LLM_PROVIDER: str = "google" GOOGLE_API_KEY: Optional[str] = None - ANTHROPIC_API_KEY: Optional[str] = None - GROQ_API_KEY: Optional[str] = None MODEL_NAME: Optional[str] = None GOOGLE_MODEL_NAME: str = "gemini-2.0-flash-lite" - ANTHROPIC_MODEL_NAME: str = "claude-3-5-haiku-latest" - GROQ_MODEL_NAME: str = "llama-3.1-8b-instant" # Discord ingestion DISCORD_BOT_TOKEN: Optional[str] = None diff --git a/app/services/qa_service.py b/app/services/qa_service.py index 159ec37..050e3ea 100644 --- a/app/services/qa_service.py +++ b/app/services/qa_service.py @@ -36,7 +36,7 @@ def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEO future.cancel() raise AskError( "LLM request timed out after " - f"{timeout_seconds}s. Please retry or switch provider." + f"{timeout_seconds}s. Please retry and check Gemini API quota/connectivity." ) from exc finally: executor.shutdown(wait=False, cancel_futures=True) @@ -116,7 +116,7 @@ def _format_llm_error(exc: Exception) -> str: if "api key" in lowered or "permission denied" in lowered or "unauthorized" in lowered: return ( "Invalid API credentials. " - "Verify your provider key in .env (GOOGLE_API_KEY, ANTHROPIC_API_KEY, or GROQ_API_KEY)." + "Verify GOOGLE_API_KEY in your .env file." ) return f"Request failed: {message}" diff --git a/pyproject.toml b/pyproject.toml index c763330..42d6c81 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,11 +27,9 @@ dependencies = [ "aiohttp>=3.13.3", "fastapi>=0.115.0", "google-generativeai>=0.8.6", - "langchain-anthropic>=1.1.0", "langchain>=1.2.10", "langchain-community>=0.4.1", "langchain-core>=1.2.17", - "langchain-groq>=1.0.1", "langchain-google-genai>=4.2.1", "langchain-qdrant>=1.1.0", "pydantic-settings>=2.13.1", diff --git a/uv.lock b/uv.lock index 8877d18..7cfef77 100644 --- a/uv.lock +++ b/uv.lock @@ -169,25 +169,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, 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name = "python-dotenv" }, @@ -1420,11 +1249,9 @@ requires-dist = [ { name = "fastapi", specifier = ">=0.115.0" }, { name = "google-generativeai", specifier = ">=0.8.6" }, { name = "langchain", specifier = ">=1.2.10" }, - { name = "langchain-anthropic", specifier = ">=1.1.0" }, { name = "langchain-community", specifier = ">=0.4.1" }, { name = "langchain-core", specifier = ">=1.2.17" }, { name = "langchain-google-genai", specifier = ">=4.2.1" }, - { name = "langchain-groq", specifier = ">=1.0.1" }, { name = "langchain-qdrant", specifier = ">=1.1.0" }, { name = "pydantic-settings", specifier = ">=2.13.1" }, { name = "python-dotenv", specifier = ">=1.2.2" }, From 753e11a779185d2de379ba5ca3a7084e2671e9bf Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 02:58:59 +0100 Subject: [PATCH 041/127] fix: add dependency group for development and implement tests for LLM provider --- pyproject.toml | 5 +++ tests/test_api_routes.py | 80 ++++++++++++++++++++++++++++++++++++++ tests/test_llm_provider.py | 71 +++++++++++++++++++++++++++++++++ 3 files changed, 156 insertions(+) create mode 100644 tests/test_api_routes.py create mode 100644 tests/test_llm_provider.py diff --git a/pyproject.toml b/pyproject.toml index 42d6c81..d464016 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -44,3 +44,8 @@ maicro-ingest = "app.cli:ingest_main" [tool.hatch.build.targets.wheel] packages = ["app"] + +[dependency-groups] +dev = [ + "pytest>=8.3.0", +] diff --git a/tests/test_api_routes.py b/tests/test_api_routes.py new file mode 100644 index 0000000..15df337 --- /dev/null +++ b/tests/test_api_routes.py @@ -0,0 +1,80 @@ +from fastapi.testclient import TestClient + +import app.api.routes as routes +from app.services.qa_service import AskError +from main import app + + +client = TestClient(app) + + +def test_health_endpoint_returns_ok(): + res = client.get("/api/v1/health") + + assert res.status_code == 200 + body = res.json() + assert body["status"] == "ok" + assert "llm_provider" in body + + +def test_ask_rejects_empty_question(): + res = client.post("/api/v1/ask", json={"question": " "}) + + assert res.status_code == 400 + assert "cannot be empty" in res.json()["detail"].lower() + + +def test_ask_success(monkeypatch): + monkeypatch.setattr(routes, "ask_question", lambda q: "answer: " + q) + + res = client.post("/api/v1/ask", json={"question": "hello"}) + + assert res.status_code == 200 + assert res.json() == {"question": "hello", "answer": "answer: hello"} + + +def test_ask_error_is_mapped_to_502(monkeypatch): + def _raise(_q): + raise AskError("upstream failed") + + monkeypatch.setattr(routes, "ask_question", _raise) + + res = client.post("/api/v1/ask", json={"question": "hello"}) + + assert res.status_code == 502 + assert "upstream failed" in res.json()["detail"] + + +def test_ingest_discord_requires_token(monkeypatch): + monkeypatch.setattr(routes.settings, "DISCORD_BOT_TOKEN", None) + monkeypatch.setattr(routes.settings, "DISCORD_CHANNEL_IDS", "123") + + res = client.post("/api/v1/ingest/discord") + + assert res.status_code == 400 + assert "DISCORD_BOT_TOKEN" in res.json()["detail"] + + +def test_ingest_discord_partial_response(monkeypatch): + monkeypatch.setattr(routes.settings, "DISCORD_BOT_TOKEN", "x") + monkeypatch.setattr(routes.settings, "DISCORD_CHANNEL_IDS", "123") + + async def _fake_ingest(): + return { + "channels": {"123": 5}, + "errors": {"456": "missing access"}, + "total_documents": 5, + } + + import app.core.ingestion as ingestion + + monkeypatch.setattr(ingestion, "ingest_from_discord", _fake_ingest) + + res = client.post("/api/v1/ingest/discord") + + assert res.status_code == 200 + body = res.json() + assert body["status"] == "partial" + assert body["documents_ingested"] == 5 + assert body["details"]["channels"] == {"123": 5} + assert body["details"]["errors"] == {"456": "missing access"} diff --git a/tests/test_llm_provider.py b/tests/test_llm_provider.py new file mode 100644 index 0000000..b04e130 --- /dev/null +++ b/tests/test_llm_provider.py @@ -0,0 +1,71 @@ +import types + +import pytest + +from app.core import llm_provider + + +@pytest.fixture +def restore_settings(): + original_provider = llm_provider.settings.LLM_PROVIDER + original_google_key = llm_provider.settings.GOOGLE_API_KEY + original_model_name = llm_provider.settings.MODEL_NAME + original_google_model_name = llm_provider.settings.GOOGLE_MODEL_NAME + try: + yield + finally: + llm_provider.settings.LLM_PROVIDER = original_provider + llm_provider.settings.GOOGLE_API_KEY = original_google_key + llm_provider.settings.MODEL_NAME = original_model_name + llm_provider.settings.GOOGLE_MODEL_NAME = original_google_model_name + + +def test_get_llm_rejects_non_google_provider(restore_settings): + llm_provider.settings.LLM_PROVIDER = "groq" + llm_provider.settings.GOOGLE_API_KEY = "dummy" + + with pytest.raises(llm_provider.ConfigurationError, match="Only Gemini"): + llm_provider.get_llm() + + +def test_get_llm_requires_google_api_key(restore_settings): + llm_provider.settings.LLM_PROVIDER = "google" + llm_provider.settings.GOOGLE_API_KEY = None + + with pytest.raises(llm_provider.ConfigurationError, match="GOOGLE_API_KEY"): + llm_provider.get_llm() + + +def test_get_llm_builds_google_client(restore_settings, monkeypatch): + captured = {} + + class FakeChatGoogleGenerativeAI: + def __init__(self, model, google_api_key, temperature): + captured["model"] = model + captured["google_api_key"] = google_api_key + captured["temperature"] = temperature + + fake_mod = types.SimpleNamespace(ChatGoogleGenerativeAI=FakeChatGoogleGenerativeAI) + monkeypatch.setattr(llm_provider, "settings", llm_provider.settings) + monkeypatch.setitem(__import__("sys").modules, "langchain_google_genai", fake_mod) + + llm_provider.settings.LLM_PROVIDER = "google" + llm_provider.settings.GOOGLE_API_KEY = "test-key" + llm_provider.settings.MODEL_NAME = None + llm_provider.settings.GOOGLE_MODEL_NAME = "gemini-test" + + client = llm_provider.get_llm() + + assert isinstance(client, FakeChatGoogleGenerativeAI) + assert captured == { + "model": "gemini-test", + "google_api_key": "test-key", + "temperature": 0, + } + + +def test_get_embeddings_requires_google_api_key(restore_settings): + llm_provider.settings.GOOGLE_API_KEY = None + + with pytest.raises(llm_provider.ConfigurationError, match="Gemini embeddings"): + llm_provider.get_embeddings() From fcf5c4c3dd5b8afec470f072a7cee8875c4bdc13 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 02:59:14 +0100 Subject: [PATCH 042/127] fix: add iniconfig, pluggy, pygments, pytest, and tomli packages with their dependencies --- uv.lock | 107 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 107 insertions(+) diff --git a/uv.lock b/uv.lock index 7cfef77..65d4e40 100644 --- a/uv.lock +++ b/uv.lock @@ -1010,6 +1010,15 @@ wheels = [ { url = 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class Settings(BaseSettings): QDRANT_API_KEY: Optional[str] = None COLLECTION_NAME: str = "microclub_knowledge" - class Config: - case_sensitive = True - env_file = ".env" - extra = "ignore" + model_config = SettingsConfigDict( + case_sensitive=True, + env_file=".env", + extra="ignore", + ) @property def discord_channel_id_list(self) -> List[str]: From 76852cc98e2aa8c7806f19483332ab9440916793 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 03:31:27 +0100 Subject: [PATCH 044/127] fix: implement API fallback for ingestion when local Qdrant is locked --- app/cli.py | 27 ++++++++++++++++++ .../microclub_knowledge/storage.sqlite | Bin 450560 -> 737280 bytes 2 files changed, 27 insertions(+) diff --git a/app/cli.py b/app/cli.py index 9e6cb2d..6464f34 100644 --- a/app/cli.py +++ b/app/cli.py @@ -1,6 +1,9 @@ """CLI entrypoints for mAIcro.""" +import json import sys +import urllib.error +import urllib.request from app.core.config import settings from app.services.qa_service import AskError, ask_question @@ -45,5 +48,29 @@ def ingest_main() -> None: count = ingest_from_json("data/announcements.json") print(f"Ingestion complete. Documents ingested: {count}") except Exception as exc: + message = str(exc) + if "already accessed by another instance of Qdrant client" in message: + # If the API server already owns the local_qdrant lock, delegate ingestion to it. + try: + req = urllib.request.Request( + "http://localhost:8000/api/v1/ingest", + data=json.dumps({"path": "data/announcements.json"}).encode("utf-8"), + headers={"Content-Type": "application/json"}, + method="POST", + ) + with urllib.request.urlopen(req, timeout=60) as response: + payload = json.loads(response.read().decode("utf-8")) + print( + "Ingestion complete via API fallback. " + f"Documents ingested: {payload.get('documents_ingested', 0)}" + ) + return + except urllib.error.URLError: + print( + "Error: local_qdrant is locked by another process and API fallback failed. " + "Start the API server (`uv run uvicorn main:app --reload`) or stop the other process." + ) + raise SystemExit(2) from exc + print(f"Error: {exc}") raise SystemExit(2) from exc diff --git a/local_qdrant/collection/microclub_knowledge/storage.sqlite b/local_qdrant/collection/microclub_knowledge/storage.sqlite index 960b863cf345b03fd5764aad8cf66ef1b58c223e..31f8e648452f4e5c6645029fc9f15f1dc4f775b9 100644 GIT binary patch delta 2535 zcmb8xTWl0n7zgk!OVQHHDbRKcm;i6ars>R?`x=7SSvK2bX5BjNX2uYiGneiTT>%lh z9WNA75mC8RT`!0f5HENE7j4uBc`zjKAQE5nK{37%6BC0Ez8Jx8y2YG_C0RF_lP{b3 z=KRlZXU^=@xs_8>{RdVyuV`v&I(u;Sy4Z>{n@%9yjVka((^>R4`U_n{zoV<@SM(G5 z0ez3YMHkRF=xg*P`V5^$r_f0>gASugmF;xVz(>8%but0N+dVM6)(ykKE*PF)2E*>9 zFg(5lh8>+SJcOn%th!rV-qP39b_0F2_)^P19mm_gXxY|&xjog=*ZM%mZ;J;z60KKT zyE`^6-rF*Z2HN`3j@Fs>eQn#%Y`b>*^wqw^fLk#0xruDr8n@C`V1_xyG8`eRj!bGe z7wR~JH6tUK;pWNlL4NJ>>C63zff1Zd>p|9lbHWj7uBKQ^-B8S?Hw2oY!v)4mQBz`WqMV>%E70?q ziL9CttY8=>9TUuwS+?>fw$vPNsfEA_GD6hTGuKln==lwS8Qfd6jIl`#0-5=Yps7w- z3!MowKOE>`iihteqMq)X;dIqxv|uc>@>WR?b6Crdz~sZ@Sv3V3qXj)29@mUQA!_QH zn@BI2MhX^@3SmK^Y2EV)YIOV8kS#6>etEYzoEe&+)SUDT5 zAU|4!OR;94aauYvspCj!Xij12+(d3k$9hpWHkb8qJkZo!86p-CgW5%K3G1rFjd)pQt7eMA5Pktz1nWjp_%X zo~$NMNA(t{!)o$eRPTiPv1;N_VQ=S1KCcoEj13GXwC zhv7k!Jzf;xu4V<7C9>_X93hH74}BDpzDGg7PeFe`L7$?aKdcLVTW<}z^2?fqU3WJ6 zs;|)sqU<<|fH^_rc}@}uBM<_Gt%#f`dlE(aE(HFBqCHK~o}p+zrD&`5X_wD$$qoOP jnctFa+ht_mbA89*c~62T4RbCh!D|F7j)H5lv5)@+SGiBs delta 138 zcmZo@&}}#%JwcjPfPsM_Z=!-dqrk?5CH!*S{3n3|40-&&`M>dh Date: Sun, 8 Mar 2026 03:32:57 +0100 Subject: [PATCH 045/127] fix: handle user cancellation in ask_main and _invoke_with_timeout --- app/cli.py | 3 +++ app/services/qa_service.py | 3 +++ 2 files changed, 6 insertions(+) diff --git a/app/cli.py b/app/cli.py index 6464f34..08c45f3 100644 --- a/app/cli.py +++ b/app/cli.py @@ -28,6 +28,9 @@ def ask_main() -> None: try: answer = ask_question(question) print(f"\nAnswer: {answer}") + except KeyboardInterrupt: + print("Cancelled by user.") + raise SystemExit(130) except AskError as exc: print(f"Error: {exc}") raise SystemExit(2) from exc diff --git a/app/services/qa_service.py b/app/services/qa_service.py index 050e3ea..0885d16 100644 --- a/app/services/qa_service.py +++ b/app/services/qa_service.py @@ -32,6 +32,9 @@ def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEO future = executor.submit(chain.invoke, question) try: return future.result(timeout=timeout_seconds) + except KeyboardInterrupt as exc: + future.cancel() + raise AskError("Request cancelled by user.") from exc except FutureTimeoutError as exc: future.cancel() raise AskError( From 095e27dfd544e7bc9ddd3ff442f618544b192b6d Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 13:20:07 +0100 Subject: [PATCH 046/127] fix: update README and CLI commands for correct app entrypoint; add project structure documentation --- README.md | 24 ++++++++++++- app/cli.py | 2 +- app/main.py | 30 ++++++++++++++++ .../microclub_knowledge/storage.sqlite | Bin 737280 -> 794624 bytes main.py | 33 +++--------------- tests/test_api_routes.py | 2 +- 6 files changed, 59 insertions(+), 32 deletions(-) create mode 100644 app/main.py diff --git a/README.md b/README.md index 71ca19f..9643f07 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ This project uses `uv` as the single dependency manager. ```bash uv sync -uv run uvicorn main:app --reload +uv run uvicorn app.main:app --reload ``` Do not use `pip install -r requirements.txt`. @@ -53,6 +53,28 @@ The main goals of **mAIcro** are: --- +# Project Structure + +```text +. +├── app/ +│ ├── main.py # Canonical FastAPI app entrypoint +│ ├── cli.py # CLI commands (ask, ingest) +│ ├── api/ # HTTP routes, schemas, error handlers +│ ├── core/ # Config, logging, ingestion, providers, vector store +│ └── services/ # Business logic (Q&A service) +├── data/ # Local data sources used for ingestion +├── tests/ # Unit and API tests +├── main.py # Backward-compatible wrapper entrypoint +├── ask.py # Backward-compatible CLI wrapper +├── ingest.py # Backward-compatible CLI wrapper +└── pyproject.toml # Packaging and script entrypoints +``` + +For new setups, prefer `app.main:app` and the `maicro-*` CLI scripts. + +--- + # Core Concept At its core, **mAIcro works as an AI service that understands provided data and answers questions based on it**. diff --git a/app/cli.py b/app/cli.py index 08c45f3..8358f9e 100644 --- a/app/cli.py +++ b/app/cli.py @@ -71,7 +71,7 @@ def ingest_main() -> None: except urllib.error.URLError: print( "Error: local_qdrant is locked by another process and API fallback failed. " - "Start the API server (`uv run uvicorn main:app --reload`) or stop the other process." + "Start the API server (`uv run uvicorn app.main:app --reload`) or stop the other process." ) raise SystemExit(2) from exc diff --git a/app/main.py b/app/main.py new file mode 100644 index 0000000..f960509 --- /dev/null +++ b/app/main.py @@ -0,0 +1,30 @@ +"""Canonical FastAPI application entrypoint for mAIcro.""" + +from fastapi import FastAPI + +from app.api.error_handlers import register_exception_handlers +from app.api.routes import router +from app.core.config import settings +from app.core.logging import configure_logging + + +configure_logging() + + +app = FastAPI( + title=settings.PROJECT_NAME, + version=settings.VERSION, + description=( + f"AI knowledge service for {settings.ORG_NAME}. " + "Ingest data from Discord or JSON files, then ask questions." + ), +) + +app.include_router(router) +register_exception_handlers(app) + + +if __name__ == "__main__": + import uvicorn + + uvicorn.run("app.main:app", host="0.0.0.0", port=8000, reload=True) diff --git a/local_qdrant/collection/microclub_knowledge/storage.sqlite b/local_qdrant/collection/microclub_knowledge/storage.sqlite index 31f8e648452f4e5c6645029fc9f15f1dc4f775b9..b0007a1c6b9abf336edfc5b37e5c103a31c491e6 100644 GIT binary patch delta 619 zcmZo@&}}$iFhQDChJk_M&_o4$MwyKXOZYj&`Fnu^42LH32xzhJPvY<0>?jb%&%Rp< zD7Zy(@^txJ1!<1?3_Sn&cXOTR{L8nPXD4SN$9&$4ysn(u+|hh5Ii7A-P^jjZtgR`o zAC?>C;+Gwnm6H=0;#uWa6ACBv`E*U&dBuqw(u)HEt2B|9o4CpXI76Ug_h@(=el0O^qe>6!lBkXx_0 zK(oC-lM#rSfS4JGS%8=oh}nRc9f&!Am=lP(wijq}PY`1P`e@r`D}!VF(@))JvSi%8 z*~$ULeh*~t*lZO5V*dxScW$;y0I~U*Eg5%hwkkNrzx|Xvv$()?TRv9#Z3fIY8J(rr z8hM+yi=;aShj}@|fU~cs3-O+rE@Q+Tt6*WAl$d5=o@j1tYGh)Zl4_Z14kXf2l8k}K zGTCJF`A@pM(~sFRTe5BiI)CqGs|g^d`2(G{Z?n|`5IY{o-oM#u1BjguWFOdUbpXV! z2eJ=twz>dvem~s#3z+XQGD=UszmQo%i}=`@uDA&3Sktr=ptCGf6OD|`O$>~UElrXP Z(#%p#O)QMf(oD<^x6fO|oXE?#2LMMP&Po6P delta 143 zcmZoTV9?N@J3*RNih+S)%R~ixMyZVnOZYiN`KJQ~7`9C25zyM~DB#aOu|ah5Ecq-M zNltABp8x#2xz2O`I}mdKF((jnZ7 Date: Sun, 8 Mar 2026 14:57:19 +0100 Subject: [PATCH 047/127] fix: enhance ingestion to support Discord with message limit; update JSON ingestion path handling --- README.md | 2 + app/cli.py | 60 +++++++++++++++++- app/core/ingestion.py | 4 +- .../microclub_knowledge/storage.sqlite | Bin 794624 -> 851968 bytes 4 files changed, 62 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 9643f07..008633b 100644 --- a/README.md +++ b/README.md @@ -20,6 +20,8 @@ After `uv sync`, you can run: ```bash uv run maicro-ask "When is the next event?" uv run maicro-ingest +uv run maicro-ingest --discord +uv run maicro-ingest --discord --limit 1 ``` ## Package Publishing Notes diff --git a/app/cli.py b/app/cli.py index 8358f9e..fd13db5 100644 --- a/app/cli.py +++ b/app/cli.py @@ -1,5 +1,7 @@ """CLI entrypoints for mAIcro.""" +import argparse +import asyncio import json import sys import urllib.error @@ -37,9 +39,63 @@ def ask_main() -> None: def ingest_main() -> None: - """Ingest default announcements data from the command line.""" + """Ingest data from JSON (default) or Discord from the command line.""" from app.core.ingestion import ingest_from_json + parser = argparse.ArgumentParser(prog="maicro-ingest") + parser.add_argument( + "--discord", + action="store_true", + help="Ingest from configured Discord channels instead of local JSON file.", + ) + parser.add_argument( + "--limit", + type=int, + default=200, + help="Max messages to fetch per Discord channel (used with --discord).", + ) + parser.add_argument( + "--path", + default="data/announcements.json", + help="Path to JSON file (used when --discord is not set).", + ) + args = parser.parse_args(sys.argv[1:]) + + if args.discord: + from app.core.ingestion import ingest_from_discord + + if not settings.DISCORD_BOT_TOKEN: + print("Error: DISCORD_BOT_TOKEN not found in .env.") + raise SystemExit(1) + if not settings.discord_channel_id_list: + print("Error: DISCORD_CHANNEL_IDS not found in .env.") + raise SystemExit(1) + if args.limit <= 0: + print("Error: --limit must be a positive integer.") + raise SystemExit(1) + + try: + result = asyncio.run(ingest_from_discord(limit_per_channel=args.limit)) + status = "partial" if result.get("errors") else "ok" + print( + "Discord ingestion complete. " + f"Status: {status}. Documents ingested: {result.get('total_documents', 0)}" + ) + channels = result.get("channels") or {} + errors = result.get("errors") or {} + if channels: + print(f"Per-channel counts: {channels}") + if errors: + print(f"Channel errors: {errors}") + raise SystemExit(2) + return + except KeyboardInterrupt: + print("Cancelled by user.") + raise SystemExit(130) + except Exception as exc: + print(f"Error: {exc}") + raise SystemExit(2) from exc + if not settings.GOOGLE_API_KEY: print( "Error: GOOGLE_API_KEY not found in .env. " @@ -48,7 +104,7 @@ def ingest_main() -> None: raise SystemExit(1) try: - count = ingest_from_json("data/announcements.json") + count = ingest_from_json(args.path) print(f"Ingestion complete. Documents ingested: {count}") except Exception as exc: message = str(exc) diff --git a/app/core/ingestion.py b/app/core/ingestion.py index dd79c9d..e0a95dd 100644 --- a/app/core/ingestion.py +++ b/app/core/ingestion.py @@ -104,7 +104,7 @@ def ingest_from_json(file_path: str) -> int: return ingest_documents(docs) -async def ingest_from_discord() -> dict: +async def ingest_from_discord(limit_per_channel: int = 200) -> dict: """ Fetch messages from all configured Discord channels and ingest them. Returns a summary dict with per-channel counts. @@ -125,7 +125,7 @@ async def ingest_from_discord() -> dict: messages = await fetch_channel_messages( bot_token=settings.DISCORD_BOT_TOKEN, channel_id=channel_id, - limit=200, + limit=limit_per_channel, ) docs = _docs_from_discord_messages(messages, channel_id) count = ingest_documents(docs) diff --git a/local_qdrant/collection/microclub_knowledge/storage.sqlite b/local_qdrant/collection/microclub_knowledge/storage.sqlite index b0007a1c6b9abf336edfc5b37e5c103a31c491e6..e29a16b8554496a823293b1642198ad1b935798d 100644 GIT binary patch delta 612 zcmZoTV9?NDGC`VEj)8&U!bAmoM!Ag%OZYh?`I~_P3>PNz2ObguJEgJt?~_Vtc(nIH3W+18ftUk`If0mK`x6arneQw>pB&k2WpIpt`l#s?EgUa@y%8VAT~dtzfBw8dHCYf1SnwunBCMOzNCL5X<8yTku~0^G!xZ+3EKKxg@lRkFM#8i@~ delta 131 zcmZo@FljhoFhQDChJk_M&_o4$MwyKXOZYj&`Fnu^42LH32*z|9LJo?Q~G}@nNFaj|X5HkZY3lOsc WF&hxG12G2>a{@8f_9q(LGT#9tZ!4Do From 85dd48f0927c0f09e57de18e1db82597614315a0 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 15:09:25 +0100 Subject: [PATCH 048/127] feat: add initial implementation of content generation using Google GenAI --- .../microclub_knowledge/storage.sqlite | Bin 851968 -> 913408 bytes test.py | 10 ++++++++++ 2 files changed, 10 insertions(+) create mode 100644 test.py diff --git a/local_qdrant/collection/microclub_knowledge/storage.sqlite b/local_qdrant/collection/microclub_knowledge/storage.sqlite index e29a16b8554496a823293b1642198ad1b935798d..77be76252f6b198757a35ff928553670b2f74874 100644 GIT binary patch delta 595 zcmZo@Fll&TK0%sQfq{YH{zL_PMum+DOZYjY`0IcI3^yk82pBQ(*KKwbaO7vYAUnBP zzEMn`y`6#QKmTs7^PGSA7W3@nEaaHaes;2if*ccj`(`r*U-rqu8shrCmA+Yl#{MC0 zxsf1T6=)LW;*{x^8(8J*5?bz;m2T=E5^Cb>9%-24Y+@@v`J%3bo}q7*W0h}+Uxr^* zwoz0_V0mO!vWahquR&C}SB`I$XN9ker?J0FN(M-a+~kGY63yBg?b;fQK+FWh%s|Wn z#H>Kf2E^<@%mKulK+FZi+}pJ^c&=V&0ebDyc9spy|M?j&Z)Z6GqOWXcxd5WCZfAJ_ zqOWad`2eD?Z)IV*D?j<+du0wL)^iM8&sooHEIh>O*7&kio~@C$`BGN8V{n+4BMdnE zdb$(u_366WEU^m7Mn)#)mWFAGhH1$r7AXcvW+}!7rUqsfmX@X#25F|-S820^vbf&_ z+9`*_PM1ic!wzDnnW?dXv7vFIxusdEi9xctg`u%YYEr7Pk)eT+xrKQm#7@?Wz@WMX a4XWGFpt=JMs=Lsjx(5xa`@o?3BM$)LVZSZ_ delta 138 zcmZp8VBXMRGC`VEj)8&U!bAmoM!Ag%OZYh?`I~_P3>PNz2pDa46ma057{D>PO}+O;$oftU%1nSq!E ch*^P{4T#x+m;;D8ftU-3xwmU+@LanN0IuLBn*aa+ diff --git a/test.py b/test.py new file mode 100644 index 0000000..1042b50 --- /dev/null +++ b/test.py @@ -0,0 +1,10 @@ +from google import genai + +client = genai.Client(api_key="AIzaSyAnmElA9P35lUUHdquILJ-M3NZOw8T1I98") + +response = client.models.generate_content( + model="gemini-2.0-flash", + contents="Say hello in one short sentence." +) + +print(response.text) \ No newline at end of file From 6ffa89229903d6335572e89a56512f71aaf32002 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 23:36:58 +0100 Subject: [PATCH 049/127] feat: Implement mAIcro API with Discord ingestion and question-answering capabilities - Added FastAPI routes for health check, question asking, and document ingestion from JSON and Discord. - Introduced centralized error handling for various exceptions. - Created schemas for request and response models. - Developed a CLI for asking questions and ingesting data. - Integrated Google Gemini model for question answering and embeddings. - Implemented document ingestion from local JSON files and Discord channels. - Added logging configuration for consistent log formatting. - Established a vector store using Qdrant for document management. - Created prompt templates for retrieval-augmented generation (RAG). - Added unit tests for API routes and LLM provider configuration. - Removed obsolete test files and ensured codebase cleanliness. --- README.md | 22 ++++++++------ app/core/vector_store.py | 18 ------------ ask.py | 9 +++++- ingest.py | 9 +++++- main.py | 9 ++++-- pyproject.toml | 9 ++++-- {app => src/maicro}/__init__.py | 0 {app => src/maicro}/api/__init__.py | 0 {app => src/maicro}/api/error_handlers.py | 2 +- {app => src/maicro}/api/routes.py | 10 +++---- {app => src/maicro}/api/schemas.py | 0 {app => src/maicro}/cli.py | 14 ++++----- {app => src/maicro}/core/.gitkeep | 0 {app => src/maicro}/core/__init__.py | 0 {app => src/maicro}/core/agent_engine.py | 0 {app => src/maicro}/core/config.py | 1 + {app => src/maicro}/core/discord_fetcher.py | 0 {app => src/maicro}/core/embeddings.py | 0 {app => src/maicro}/core/ingestion.py | 6 ++-- {app => src/maicro}/core/llm_provider.py | 2 +- {app => src/maicro}/core/logging.py | 0 {app => src/maicro}/core/prompt_template.py | 2 +- src/maicro/core/vector_store.py | 19 ++++++++++++ {app => src/maicro}/main.py | 10 +++---- {app => src/maicro}/services/qa_service.py | 6 ++-- test.py | 29 +++++++++++++++---- .../test_routes.py} | 8 ++--- tests/{ => unit}/test_llm_provider.py | 2 +- 28 files changed, 116 insertions(+), 71 deletions(-) delete mode 100644 app/core/vector_store.py rename {app => src/maicro}/__init__.py (100%) rename {app => src/maicro}/api/__init__.py (100%) rename {app => src/maicro}/api/error_handlers.py (95%) rename {app => src/maicro}/api/routes.py (87%) rename {app => src/maicro}/api/schemas.py (100%) rename {app => src/maicro}/cli.py (89%) rename {app => src/maicro}/core/.gitkeep (100%) rename {app => src/maicro}/core/__init__.py (100%) rename {app => src/maicro}/core/agent_engine.py (100%) rename {app => src/maicro}/core/config.py (97%) rename {app => src/maicro}/core/discord_fetcher.py (100%) rename {app => src/maicro}/core/embeddings.py (100%) rename {app => src/maicro}/core/ingestion.py (96%) rename {app => src/maicro}/core/llm_provider.py (96%) rename {app => src/maicro}/core/logging.py (100%) rename {app => src/maicro}/core/prompt_template.py (98%) create mode 100644 src/maicro/core/vector_store.py rename {app => src/maicro}/main.py (62%) rename {app => src/maicro}/services/qa_service.py (97%) rename tests/{test_api_routes.py => api/test_routes.py} (93%) rename tests/{ => unit}/test_llm_provider.py (98%) diff --git a/README.md b/README.md index 008633b..487d084 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ This project uses `uv` as the single dependency manager. ```bash uv sync -uv run uvicorn app.main:app --reload +uv run uvicorn maicro.main:app --reload ``` Do not use `pip install -r requirements.txt`. @@ -59,21 +59,25 @@ The main goals of **mAIcro** are: ```text . -├── app/ -│ ├── main.py # Canonical FastAPI app entrypoint -│ ├── cli.py # CLI commands (ask, ingest) -│ ├── api/ # HTTP routes, schemas, error handlers -│ ├── core/ # Config, logging, ingestion, providers, vector store -│ └── services/ # Business logic (Q&A service) +├── src/ +│ └── maicro/ +│ ├── main.py # Canonical FastAPI app entrypoint +│ ├── cli.py # CLI commands (ask, ingest) +│ ├── api/ # HTTP routes, schemas, error handlers +│ ├── core/ # Config, logging, ingestion, providers, vector store +│ └── services/ # Business logic (Q&A service) ├── data/ # Local data sources used for ingestion -├── tests/ # Unit and API tests +├── tests/ +│ ├── api/ # API route tests +│ └── unit/ # Unit tests +├── var/ # Runtime state (local vector DB path) ├── main.py # Backward-compatible wrapper entrypoint ├── ask.py # Backward-compatible CLI wrapper ├── ingest.py # Backward-compatible CLI wrapper └── pyproject.toml # Packaging and script entrypoints ``` -For new setups, prefer `app.main:app` and the `maicro-*` CLI scripts. +For new setups, prefer `maicro.main:app` and the `maicro-*` CLI scripts. --- diff --git a/app/core/vector_store.py b/app/core/vector_store.py deleted file mode 100644 index 9ad1271..0000000 --- a/app/core/vector_store.py +++ /dev/null @@ -1,18 +0,0 @@ -from functools import lru_cache - -from langchain_qdrant import QdrantVectorStore -from app.core.config import settings -from app.core.llm_provider import get_embeddings - - -@lru_cache(maxsize=1) -def get_vector_store(): - # Use local path for persistent storage instead of URL to avoid needing a server for MVP - path = "local_qdrant" - - return QdrantVectorStore.from_existing_collection( - collection_name=settings.COLLECTION_NAME, - embedding=get_embeddings(), - path=path - ) - diff --git a/ask.py b/ask.py index 78cc230..9e02bd3 100644 --- a/ask.py +++ b/ask.py @@ -1,4 +1,11 @@ -from app.cli import ask_main +"""Compatibility wrapper for `python ask.py` in a src-layout project.""" + +from pathlib import Path +import sys + +sys.path.insert(0, str(Path(__file__).resolve().parent / "src")) + +from maicro.cli import ask_main if __name__ == "__main__": diff --git a/ingest.py b/ingest.py index dc56104..53d5b04 100644 --- a/ingest.py +++ b/ingest.py @@ -1,4 +1,11 @@ -from app.cli import ingest_main +"""Compatibility wrapper for `python ingest.py` in a src-layout project.""" + +from pathlib import Path +import sys + +sys.path.insert(0, str(Path(__file__).resolve().parent / "src")) + +from maicro.cli import ingest_main if __name__ == "__main__": diff --git a/main.py b/main.py index 7d34bf6..b851aaf 100644 --- a/main.py +++ b/main.py @@ -1,6 +1,11 @@ -"""Compatibility wrapper for the canonical entrypoint in app.main.""" +"""Compatibility wrapper for the canonical entrypoint in maicro.main.""" -from app.main import app +from pathlib import Path +import sys + +sys.path.insert(0, str(Path(__file__).resolve().parent / "src")) + +from maicro.main import app if __name__ == "__main__": diff --git a/pyproject.toml b/pyproject.toml index d464016..244a764 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -39,11 +39,14 @@ dependencies = [ ] [project.scripts] -maicro-ask = "app.cli:ask_main" -maicro-ingest = "app.cli:ingest_main" +maicro-ask = "maicro.cli:ask_main" +maicro-ingest = "maicro.cli:ingest_main" [tool.hatch.build.targets.wheel] -packages = ["app"] +packages = ["src/maicro"] + +[tool.pytest.ini_options] +pythonpath = ["src"] [dependency-groups] dev = [ diff --git a/app/__init__.py b/src/maicro/__init__.py similarity index 100% rename from app/__init__.py rename to src/maicro/__init__.py diff --git a/app/api/__init__.py b/src/maicro/api/__init__.py similarity index 100% rename from app/api/__init__.py rename to src/maicro/api/__init__.py diff --git a/app/api/error_handlers.py b/src/maicro/api/error_handlers.py similarity index 95% rename from app/api/error_handlers.py rename to src/maicro/api/error_handlers.py index 81da1b3..80685e1 100644 --- a/app/api/error_handlers.py +++ b/src/maicro/api/error_handlers.py @@ -5,7 +5,7 @@ from fastapi import FastAPI, Request from fastapi.responses import JSONResponse -from app.services.qa_service import AskConfigError, AskError +from maicro.services.qa_service import AskConfigError, AskError logger = logging.getLogger(__name__) diff --git a/app/api/routes.py b/src/maicro/api/routes.py similarity index 87% rename from app/api/routes.py rename to src/maicro/api/routes.py index 6c7d30e..0071990 100644 --- a/app/api/routes.py +++ b/src/maicro/api/routes.py @@ -4,9 +4,9 @@ from fastapi import APIRouter, HTTPException -from app.api.schemas import AskRequest, AskResponse, IngestFileRequest, IngestResponse -from app.core.config import settings -from app.services.qa_service import ask_question +from maicro.api.schemas import AskRequest, AskResponse, IngestFileRequest, IngestResponse +from maicro.core.config import settings +from maicro.services.qa_service import ask_question router = APIRouter(prefix=settings.API_V1_STR) @@ -40,7 +40,7 @@ async def ask(req: AskRequest): @router.post("/ingest", response_model=IngestResponse) async def ingest_file(req: IngestFileRequest): """Ingest documents from a local JSON file.""" - from app.core.ingestion import ingest_from_json + from maicro.core.ingestion import ingest_from_json count = ingest_from_json(req.path) @@ -50,7 +50,7 @@ async def ingest_file(req: IngestFileRequest): @router.post("/ingest/discord", response_model=IngestResponse) async def ingest_discord(): """Fetch messages from Discord channels and ingest them.""" - from app.core.ingestion import ingest_from_discord + from maicro.core.ingestion import ingest_from_discord if not settings.DISCORD_BOT_TOKEN: raise HTTPException( diff --git a/app/api/schemas.py b/src/maicro/api/schemas.py similarity index 100% rename from app/api/schemas.py rename to src/maicro/api/schemas.py diff --git a/app/cli.py b/src/maicro/cli.py similarity index 89% rename from app/cli.py rename to src/maicro/cli.py index fd13db5..19d7f73 100644 --- a/app/cli.py +++ b/src/maicro/cli.py @@ -7,8 +7,8 @@ import urllib.error import urllib.request -from app.core.config import settings -from app.services.qa_service import AskError, ask_question +from maicro.core.config import settings +from maicro.services.qa_service import AskError, ask_question def ask_main() -> None: @@ -40,7 +40,7 @@ def ask_main() -> None: def ingest_main() -> None: """Ingest data from JSON (default) or Discord from the command line.""" - from app.core.ingestion import ingest_from_json + from maicro.core.ingestion import ingest_from_json parser = argparse.ArgumentParser(prog="maicro-ingest") parser.add_argument( @@ -62,7 +62,7 @@ def ingest_main() -> None: args = parser.parse_args(sys.argv[1:]) if args.discord: - from app.core.ingestion import ingest_from_discord + from maicro.core.ingestion import ingest_from_discord if not settings.DISCORD_BOT_TOKEN: print("Error: DISCORD_BOT_TOKEN not found in .env.") @@ -109,7 +109,7 @@ def ingest_main() -> None: except Exception as exc: message = str(exc) if "already accessed by another instance of Qdrant client" in message: - # If the API server already owns the local_qdrant lock, delegate ingestion to it. + # If the API server already owns the local Qdrant lock, delegate ingestion to it. try: req = urllib.request.Request( "http://localhost:8000/api/v1/ingest", @@ -126,8 +126,8 @@ def ingest_main() -> None: return except urllib.error.URLError: print( - "Error: local_qdrant is locked by another process and API fallback failed. " - "Start the API server (`uv run uvicorn app.main:app --reload`) or stop the other process." + "Error: local Qdrant storage is locked by another process and API fallback failed. " + "Start the API server (`uv run uvicorn maicro.main:app --reload`) or stop the other process." ) raise SystemExit(2) from exc diff --git a/app/core/.gitkeep b/src/maicro/core/.gitkeep similarity index 100% rename from app/core/.gitkeep rename to src/maicro/core/.gitkeep diff --git a/app/core/__init__.py b/src/maicro/core/__init__.py similarity index 100% rename from app/core/__init__.py rename to src/maicro/core/__init__.py diff --git a/app/core/agent_engine.py b/src/maicro/core/agent_engine.py similarity index 100% rename from app/core/agent_engine.py rename to src/maicro/core/agent_engine.py diff --git a/app/core/config.py b/src/maicro/core/config.py similarity index 97% rename from app/core/config.py rename to src/maicro/core/config.py index ecebae0..ca8cff1 100644 --- a/app/core/config.py +++ b/src/maicro/core/config.py @@ -24,6 +24,7 @@ class Settings(BaseSettings): QDRANT_URL: str = "http://localhost:6333" QDRANT_API_KEY: Optional[str] = None COLLECTION_NAME: str = "microclub_knowledge" + QDRANT_PATH: str = "var/qdrant" model_config = SettingsConfigDict( case_sensitive=True, diff --git a/app/core/discord_fetcher.py b/src/maicro/core/discord_fetcher.py similarity index 100% rename from app/core/discord_fetcher.py rename to src/maicro/core/discord_fetcher.py diff --git a/app/core/embeddings.py b/src/maicro/core/embeddings.py similarity index 100% rename from app/core/embeddings.py rename to src/maicro/core/embeddings.py diff --git a/app/core/ingestion.py b/src/maicro/core/ingestion.py similarity index 96% rename from app/core/ingestion.py rename to src/maicro/core/ingestion.py index e0a95dd..4e4d426 100644 --- a/app/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -12,8 +12,8 @@ from langchain_core.documents import Document -from app.core.config import settings -from app.core.vector_store import get_vector_store +from maicro.core.config import settings +from maicro.core.vector_store import get_vector_store # --------------------------------------------------------------------------- @@ -109,7 +109,7 @@ async def ingest_from_discord(limit_per_channel: int = 200) -> dict: Fetch messages from all configured Discord channels and ingest them. Returns a summary dict with per-channel counts. """ - from app.core.discord_fetcher import DiscordFetchError, fetch_channel_messages + from maicro.core.discord_fetcher import DiscordFetchError, fetch_channel_messages if not settings.DISCORD_BOT_TOKEN: raise ValueError("DISCORD_BOT_TOKEN not set in environment.") diff --git a/app/core/llm_provider.py b/src/maicro/core/llm_provider.py similarity index 96% rename from app/core/llm_provider.py rename to src/maicro/core/llm_provider.py index b2e59ff..85582a6 100644 --- a/app/core/llm_provider.py +++ b/src/maicro/core/llm_provider.py @@ -1,4 +1,4 @@ -from app.core.config import settings +from maicro.core.config import settings class ConfigurationError(ValueError): diff --git a/app/core/logging.py b/src/maicro/core/logging.py similarity index 100% rename from app/core/logging.py rename to src/maicro/core/logging.py diff --git a/app/core/prompt_template.py b/src/maicro/core/prompt_template.py similarity index 98% rename from app/core/prompt_template.py rename to src/maicro/core/prompt_template.py index d600e09..cbe8548 100644 --- a/app/core/prompt_template.py +++ b/src/maicro/core/prompt_template.py @@ -1,6 +1,6 @@ from langchain_core.prompts import PromptTemplate -from app.core.config import settings +from maicro.core.config import settings _BASE_TEMPLATE = """\ You are the official AI assistant for {org_name}. diff --git a/src/maicro/core/vector_store.py b/src/maicro/core/vector_store.py new file mode 100644 index 0000000..eaf4d75 --- /dev/null +++ b/src/maicro/core/vector_store.py @@ -0,0 +1,19 @@ +from functools import lru_cache +from pathlib import Path + +from langchain_qdrant import QdrantVectorStore +from maicro.core.config import settings +from maicro.core.llm_provider import get_embeddings + + +@lru_cache(maxsize=1) +def get_vector_store(): + # Keep local persistence for MVP without requiring an external Qdrant server. + path = Path(settings.QDRANT_PATH) + path.mkdir(parents=True, exist_ok=True) + + return QdrantVectorStore.from_existing_collection( + collection_name=settings.COLLECTION_NAME, + embedding=get_embeddings(), + path=str(path), + ) diff --git a/app/main.py b/src/maicro/main.py similarity index 62% rename from app/main.py rename to src/maicro/main.py index f960509..dfbca6a 100644 --- a/app/main.py +++ b/src/maicro/main.py @@ -2,10 +2,10 @@ from fastapi import FastAPI -from app.api.error_handlers import register_exception_handlers -from app.api.routes import router -from app.core.config import settings -from app.core.logging import configure_logging +from maicro.api.error_handlers import register_exception_handlers +from maicro.api.routes import router +from maicro.core.config import settings +from maicro.core.logging import configure_logging configure_logging() @@ -27,4 +27,4 @@ if __name__ == "__main__": import uvicorn - uvicorn.run("app.main:app", host="0.0.0.0", port=8000, reload=True) + uvicorn.run("maicro.main:app", host="0.0.0.0", port=8000, reload=True) diff --git a/app/services/qa_service.py b/src/maicro/services/qa_service.py similarity index 97% rename from app/services/qa_service.py rename to src/maicro/services/qa_service.py index 0885d16..e34b8de 100644 --- a/app/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -10,9 +10,9 @@ from langchain_core.output_parsers import StrOutputParser from langchain_core.runnables import RunnableLambda, RunnablePassthrough -from app.core.llm_provider import ConfigurationError, get_llm -from app.core.prompt_template import build_rag_prompt_template -from app.core.vector_store import get_vector_store +from maicro.core.llm_provider import ConfigurationError, get_llm +from maicro.core.prompt_template import build_rag_prompt_template +from maicro.core.vector_store import get_vector_store class AskError(Exception): diff --git a/test.py b/test.py index 1042b50..f9196e9 100644 --- a/test.py +++ b/test.py @@ -1,10 +1,27 @@ +import os + from google import genai +from google.genai import errors + -client = genai.Client(api_key="AIzaSyAnmElA9P35lUUHdquILJ-M3NZOw8T1I98") +api_key = os.getenv("GOOGLE_API_KEY") +if not api_key: + raise SystemExit( + "GOOGLE_API_KEY is not set. Export it first, for example: " + "export GOOGLE_API_KEY='your-valid-key'" + ) -response = client.models.generate_content( - model="gemini-2.0-flash", - contents="Say hello in one short sentence." -) +client = genai.Client(api_key=api_key) -print(response.text) \ No newline at end of file +try: + response = client.models.generate_content( + model="models/gemini-2.0-flash", + contents="Explain quantum computing to a cat.", + ) + print(response.text) +except errors.ClientError as exc: + raise SystemExit( + "Gemini API request failed. This usually means the API key is invalid/expired " + "or does not have access to this model. Check GOOGLE_API_KEY and retry.\n" + f"Details: {exc}" + ) \ No newline at end of file diff --git a/tests/test_api_routes.py b/tests/api/test_routes.py similarity index 93% rename from tests/test_api_routes.py rename to tests/api/test_routes.py index 4ffed95..046834b 100644 --- a/tests/test_api_routes.py +++ b/tests/api/test_routes.py @@ -1,8 +1,8 @@ from fastapi.testclient import TestClient -import app.api.routes as routes -from app.services.qa_service import AskError -from app.main import app +import maicro.api.routes as routes +from maicro.services.qa_service import AskError +from maicro.main import app client = TestClient(app) @@ -66,7 +66,7 @@ async def _fake_ingest(): "total_documents": 5, } - import app.core.ingestion as ingestion + import maicro.core.ingestion as ingestion monkeypatch.setattr(ingestion, "ingest_from_discord", _fake_ingest) diff --git a/tests/test_llm_provider.py b/tests/unit/test_llm_provider.py similarity index 98% rename from tests/test_llm_provider.py rename to tests/unit/test_llm_provider.py index b04e130..8f9eb34 100644 --- a/tests/test_llm_provider.py +++ b/tests/unit/test_llm_provider.py @@ -2,7 +2,7 @@ import pytest -from app.core import llm_provider +from maicro.core import llm_provider @pytest.fixture From 727e3caf95dd49479e7b31098958707033d6e5e7 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Sun, 8 Mar 2026 23:41:08 +0100 Subject: [PATCH 050/127] fix: update README for API usage and remove script references from pyproject.toml --- README.md | 26 +++++++++++++++----------- pyproject.toml | 4 ---- 2 files changed, 15 insertions(+), 15 deletions(-) diff --git a/README.md b/README.md index 487d084..ed068be 100644 --- a/README.md +++ b/README.md @@ -13,15 +13,22 @@ Do not use `pip install -r requirements.txt`. This build is **Gemini-only**: set `LLM_PROVIDER=google` and configure `GOOGLE_API_KEY`. -## CLI Usage +## API Usage -After `uv sync`, you can run: +After starting the server, the API is available under `/api/v1`: ```bash -uv run maicro-ask "When is the next event?" -uv run maicro-ingest -uv run maicro-ingest --discord -uv run maicro-ingest --discord --limit 1 +curl http://localhost:8000/api/v1/health + +curl -X POST http://localhost:8000/api/v1/ask \ + -H "Content-Type: application/json" \ + -d '{"question":"When is the next event?"}' + +curl -X POST http://localhost:8000/api/v1/ingest \ + -H "Content-Type: application/json" \ + -d '{"path":"data/announcements.json"}' + +curl -X POST http://localhost:8000/api/v1/ingest/discord ``` ## Package Publishing Notes @@ -62,7 +69,6 @@ The main goals of **mAIcro** are: ├── src/ │ └── maicro/ │ ├── main.py # Canonical FastAPI app entrypoint -│ ├── cli.py # CLI commands (ask, ingest) │ ├── api/ # HTTP routes, schemas, error handlers │ ├── core/ # Config, logging, ingestion, providers, vector store │ └── services/ # Business logic (Q&A service) @@ -72,12 +78,10 @@ The main goals of **mAIcro** are: │ └── unit/ # Unit tests ├── var/ # Runtime state (local vector DB path) ├── main.py # Backward-compatible wrapper entrypoint -├── ask.py # Backward-compatible CLI wrapper -├── ingest.py # Backward-compatible CLI wrapper -└── pyproject.toml # Packaging and script entrypoints +└── pyproject.toml # Packaging and project metadata ``` -For new setups, prefer `maicro.main:app` and the `maicro-*` CLI scripts. +For new setups, prefer `maicro.main:app`. --- diff --git a/pyproject.toml b/pyproject.toml index 244a764..772ce5b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,10 +38,6 @@ dependencies = [ "uvicorn>=0.35.0", ] -[project.scripts] -maicro-ask = "maicro.cli:ask_main" -maicro-ingest = "maicro.cli:ingest_main" - [tool.hatch.build.targets.wheel] packages = ["src/maicro"] From 3e3f3c433f8c4e98ae452a0129869ab0ec49aa80 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 9 Mar 2026 00:10:33 +0100 Subject: [PATCH 051/127] fix: ensure collection creation in vector store during document ingestion --- src/maicro/core/ingestion.py | 40 ++++++++++++++++++++++++++++++++++-- test.py | 4 ++-- 2 files changed, 40 insertions(+), 4 deletions(-) diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 4e4d426..8dedc62 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -9,10 +9,14 @@ import json import os +from pathlib import Path from langchain_core.documents import Document +from qdrant_client import QdrantClient +from qdrant_client.http import models as qdrant_models from maicro.core.config import settings +from maicro.core.llm_provider import get_embeddings from maicro.core.vector_store import get_vector_store @@ -85,6 +89,25 @@ def _docs_from_discord_messages( # Ingestion entry points # --------------------------------------------------------------------------- +def _ensure_collection_exists(vector_size: int) -> None: + """Create local collection if missing, without relying on cached vector store.""" + path = Path(settings.QDRANT_PATH) + path.mkdir(parents=True, exist_ok=True) + + client = QdrantClient(path=str(path)) + try: + if not client.collection_exists(settings.COLLECTION_NAME): + client.create_collection( + collection_name=settings.COLLECTION_NAME, + vectors_config=qdrant_models.VectorParams( + size=vector_size, + distance=qdrant_models.Distance.COSINE, + ), + ) + finally: + client.close() + + def ingest_documents(documents: list[Document]) -> int: """ Push a list of LangChain Documents into the Qdrant vector store. @@ -93,8 +116,21 @@ def ingest_documents(documents: list[Document]) -> int: if not documents: return 0 - vector_store = get_vector_store() - vector_store.add_documents(documents) + try: + vector_store = get_vector_store() + vector_store.add_documents(documents) + except Exception as exc: + # First-run behavior: create the collection automatically if missing. + message = str(exc).lower() + if "not found" in message and settings.COLLECTION_NAME.lower() in message: + embedding = get_embeddings() + vector_size = len(embedding.embed_query("collection bootstrap")) + _ensure_collection_exists(vector_size) + get_vector_store.cache_clear() + vector_store = get_vector_store() + vector_store.add_documents(documents) + else: + raise return len(documents) diff --git a/test.py b/test.py index f9196e9..a361575 100644 --- a/test.py +++ b/test.py @@ -4,7 +4,7 @@ from google.genai import errors -api_key = os.getenv("GOOGLE_API_KEY") +api_key = "AIzaSyBxPPYebe1TWSRjq8qJi3AjS4y-7x7R3E8" if not api_key: raise SystemExit( "GOOGLE_API_KEY is not set. Export it first, for example: " @@ -15,7 +15,7 @@ try: response = client.models.generate_content( - model="models/gemini-2.0-flash", + model="gemini-2.5-flash", contents="Explain quantum computing to a cat.", ) print(response.text) From 6a8f023bec434bf7dc7d0f088cfb6e82361904af Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 9 Mar 2026 00:14:15 +0100 Subject: [PATCH 052/127] fix: refactor Qdrant client initialization and ensure collection creation logic --- src/maicro/core/ingestion.py | 28 ++++++++++------------------ src/maicro/core/vector_store.py | 17 +++++++++++++---- 2 files changed, 23 insertions(+), 22 deletions(-) diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 8dedc62..be460c6 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -9,15 +9,13 @@ import json import os -from pathlib import Path from langchain_core.documents import Document -from qdrant_client import QdrantClient from qdrant_client.http import models as qdrant_models from maicro.core.config import settings from maicro.core.llm_provider import get_embeddings -from maicro.core.vector_store import get_vector_store +from maicro.core.vector_store import get_qdrant_client, get_vector_store # --------------------------------------------------------------------------- @@ -91,21 +89,15 @@ def _docs_from_discord_messages( def _ensure_collection_exists(vector_size: int) -> None: """Create local collection if missing, without relying on cached vector store.""" - path = Path(settings.QDRANT_PATH) - path.mkdir(parents=True, exist_ok=True) - - client = QdrantClient(path=str(path)) - try: - if not client.collection_exists(settings.COLLECTION_NAME): - client.create_collection( - collection_name=settings.COLLECTION_NAME, - vectors_config=qdrant_models.VectorParams( - size=vector_size, - distance=qdrant_models.Distance.COSINE, - ), - ) - finally: - client.close() + client = get_qdrant_client() + if not client.collection_exists(settings.COLLECTION_NAME): + client.create_collection( + collection_name=settings.COLLECTION_NAME, + vectors_config=qdrant_models.VectorParams( + size=vector_size, + distance=qdrant_models.Distance.COSINE, + ), + ) def ingest_documents(documents: list[Document]) -> int: diff --git a/src/maicro/core/vector_store.py b/src/maicro/core/vector_store.py index eaf4d75..19f97f4 100644 --- a/src/maicro/core/vector_store.py +++ b/src/maicro/core/vector_store.py @@ -1,19 +1,28 @@ from functools import lru_cache from pathlib import Path +from qdrant_client import QdrantClient +from qdrant_client.http import models as qdrant_models from langchain_qdrant import QdrantVectorStore from maicro.core.config import settings from maicro.core.llm_provider import get_embeddings @lru_cache(maxsize=1) -def get_vector_store(): - # Keep local persistence for MVP without requiring an external Qdrant server. +def get_qdrant_client() -> QdrantClient: + """Return a singleton local Qdrant client for this process.""" path = Path(settings.QDRANT_PATH) path.mkdir(parents=True, exist_ok=True) + return QdrantClient(path=str(path)) - return QdrantVectorStore.from_existing_collection( + +@lru_cache(maxsize=1) +def get_vector_store() -> QdrantVectorStore: + """Return a vector store backed by the singleton local Qdrant client.""" + return QdrantVectorStore( + client=get_qdrant_client(), collection_name=settings.COLLECTION_NAME, embedding=get_embeddings(), - path=str(path), + distance=qdrant_models.Distance.COSINE, + validate_collection_config=False, ) From e4db5523cb6676afd976cd23f02eb1174c2856e8 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 9 Mar 2026 18:48:03 +0100 Subject: [PATCH 053/127] fix: update GOOGLE_MODEL_NAME to use the latest version "gemini-2.5-flash" --- src/maicro/core/config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/maicro/core/config.py b/src/maicro/core/config.py index ca8cff1..509a275 100644 --- a/src/maicro/core/config.py +++ b/src/maicro/core/config.py @@ -14,7 +14,7 @@ class Settings(BaseSettings): LLM_PROVIDER: str = "google" GOOGLE_API_KEY: Optional[str] = None MODEL_NAME: Optional[str] = None - GOOGLE_MODEL_NAME: str = "gemini-2.0-flash-lite" + GOOGLE_MODEL_NAME: str = "gemini-2.5-flash" # Discord ingestion DISCORD_BOT_TOKEN: Optional[str] = None From 8f51b035da12a1ae64f0b86e4492174a17a31d92 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 9 Mar 2026 19:11:16 +0100 Subject: [PATCH 054/127] feat: add latest Discord message retrieval and related tests --- src/maicro/core/vector_store.py | 10 ++++ src/maicro/services/qa_service.py | 90 +++++++++++++++++++++++++++++++ tests/unit/test_qa_service.py | 60 +++++++++++++++++++++ 3 files changed, 160 insertions(+) create mode 100644 tests/unit/test_qa_service.py diff --git a/src/maicro/core/vector_store.py b/src/maicro/core/vector_store.py index 19f97f4..c1099d7 100644 --- a/src/maicro/core/vector_store.py +++ b/src/maicro/core/vector_store.py @@ -1,3 +1,4 @@ +import atexit from functools import lru_cache from pathlib import Path @@ -26,3 +27,12 @@ def get_vector_store() -> QdrantVectorStore: distance=qdrant_models.Distance.COSINE, validate_collection_config=False, ) + + +@atexit.register +def _close_qdrant_client_on_exit() -> None: + """Best-effort close to avoid noisy interpreter-shutdown warnings.""" + try: + get_qdrant_client().close() + except Exception: + pass diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index e34b8de..de50eea 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -3,6 +3,7 @@ import json import re from concurrent.futures import ThreadPoolExecutor, TimeoutError as FutureTimeoutError +from datetime import datetime from functools import lru_cache from pathlib import Path @@ -24,6 +25,10 @@ class AskConfigError(AskError): _ASK_TIMEOUT_SECONDS = 30 +_RECENCY_MESSAGE_PATTERN = re.compile( + r"\b(last|latest|most recent|newest)\b.*\b(message|msg|post)\b|\bwhat(?:'s| is)\s+the\s+last\s+message\b", + re.IGNORECASE, +) def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEOUT_SECONDS) -> str: @@ -144,8 +149,93 @@ def _format_context(docs: list[Document]) -> str: return "\\n\\n".join(chunks) +def _is_recency_message_query(question: str) -> bool: + return bool(_RECENCY_MESSAGE_PATTERN.search(question.strip())) + + +def _parse_iso_timestamp(value: str) -> datetime | None: + if not value: + return None + try: + return datetime.fromisoformat(value) + except ValueError: + return None + + +def _latest_discord_message() -> str | None: + """Return a deterministic response for the latest Discord message in storage.""" + from qdrant_client.http import models as qdrant_models + + vector_store = get_vector_store() + client = vector_store.client + collection_name = vector_store.collection_name + + next_offset = None + latest_payload = None + latest_dt = None + + while True: + points, next_offset = client.scroll( + collection_name=collection_name, + scroll_filter=qdrant_models.Filter( + must=[ + qdrant_models.FieldCondition( + key="metadata.source", + match=qdrant_models.MatchValue(value="discord"), + ) + ] + ), + with_payload=True, + with_vectors=False, + limit=256, + offset=next_offset, + ) + + for point in points: + payload = point.payload or {} + metadata = payload.get("metadata") or {} + timestamp = str(metadata.get("timestamp") or "") + dt = _parse_iso_timestamp(timestamp) + if dt is None: + continue + if latest_dt is None or dt > latest_dt: + latest_dt = dt + latest_payload = payload + + if next_offset is None: + break + + if not latest_payload: + return None + + metadata = latest_payload.get("metadata") or {} + author = metadata.get("author") or "unknown" + timestamp = metadata.get("timestamp") or "unknown" + channel_id = metadata.get("channel_id") or "unknown" + text = str(latest_payload.get("page_content") or "").strip() + if not text: + text = "No text content." + + return ( + f"Latest Discord message:\n" + f"- author: {author}\n" + f"- timestamp: {timestamp}\n" + f"- channel_id: {channel_id}\n" + f"- content: {text}" + ) + + def ask_question(question: str) -> str: """Answer a user question from the configured RAG pipeline.""" + if _is_recency_message_query(question): + try: + latest = _latest_discord_message() + if latest: + return latest + except Exception: + # Fall back to standard RAG path if deterministic lookup fails. + pass + try: llm = get_llm() except ConfigurationError as exc: diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py new file mode 100644 index 0000000..9ef072f --- /dev/null +++ b/tests/unit/test_qa_service.py @@ -0,0 +1,60 @@ +from types import SimpleNamespace + +from maicro.services import qa_service + + +def test_ask_question_uses_latest_shortcut(monkeypatch): + monkeypatch.setattr(qa_service, "_latest_discord_message", lambda: "latest-message") + + def _should_not_run(): + raise AssertionError("get_llm should not be called for latest-message intent") + + monkeypatch.setattr(qa_service, "get_llm", _should_not_run) + + answer = qa_service.ask_question("whats the last message") + + assert answer == "latest-message" + + +def test_latest_discord_message_picks_newest_timestamp(monkeypatch): + points = [ + SimpleNamespace( + payload={ + "page_content": "[a] older message", + "metadata": { + "source": "discord", + "author": "a", + "channel_id": "c1", + "timestamp": "2026-03-01T10:00:00+00:00", + }, + } + ), + SimpleNamespace( + payload={ + "page_content": "[b] newest message", + "metadata": { + "source": "discord", + "author": "b", + "channel_id": "c2", + "timestamp": "2026-03-09T17:39:33+00:00", + }, + } + ), + ] + + class FakeClient: + def scroll(self, **_kwargs): + return points, None + + fake_vector_store = SimpleNamespace( + client=FakeClient(), + collection_name="microclub_knowledge", + ) + monkeypatch.setattr(qa_service, "get_vector_store", lambda: fake_vector_store) + + result = qa_service._latest_discord_message() + + assert result is not None + assert "author: b" in result + assert "channel_id: c2" in result + assert "newest message" in result From 7dc5d5432228251ccc88785a7c5faf7877cd0fd9 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 9 Mar 2026 19:20:10 +0100 Subject: [PATCH 055/127] feat: enhance question normalization and retrieval logic in QA service --- src/maicro/services/qa_service.py | 80 +++++++++++++++++++++++++++---- tests/unit/test_qa_service.py | 14 ++++-- 2 files changed, 82 insertions(+), 12 deletions(-) diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index de50eea..e1d687f 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -29,6 +29,12 @@ class AskConfigError(AskError): r"\b(last|latest|most recent|newest)\b.*\b(message|msg|post)\b|\bwhat(?:'s| is)\s+the\s+last\s+message\b", re.IGNORECASE, ) +_QUESTION_REWRITES: list[tuple[re.Pattern[str], str]] = [ + (re.compile(r"\bwhats\b", re.IGNORECASE), "what is"), + (re.compile(r"\bwanna\b", re.IGNORECASE), "want to"), + (re.compile(r"\bgonna\b", re.IGNORECASE), "going to"), + (re.compile(r"\bthe\s+we\s+have\b", re.IGNORECASE), "do we have"), +] def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEOUT_SECONDS) -> str: @@ -149,6 +155,46 @@ def _format_context(docs: list[Document]) -> str: return "\\n\\n".join(chunks) +def _normalize_question(question: str) -> str: + normalized = " ".join(question.strip().split()) + for pattern, replacement in _QUESTION_REWRITES: + normalized = pattern.sub(replacement, normalized) + return normalized + + +def _merge_docs(primary: list[Document], secondary: list[Document], limit: int) -> list[Document]: + merged: list[Document] = [] + seen: set[tuple[str, str, str]] = set() + + def _key(doc: Document) -> tuple[str, str, str]: + metadata = doc.metadata or {} + return ( + str(metadata.get("source", "")), + str(metadata.get("message_id", "")), + (doc.page_content or "")[:160], + ) + + for doc in primary + secondary: + key = _key(doc) + if key in seen: + continue + seen.add(key) + merged.append(doc) + if len(merged) >= limit: + break + + return merged + + +def _retrieve_with_rewrites(question: str, retriever, k: int = 6) -> list[Document]: + normalized = _normalize_question(question) + primary = retriever.invoke(question) + if normalized.lower() == question.strip().lower(): + return primary + secondary = retriever.invoke(normalized) + return _merge_docs(primary, secondary, limit=k) + + def _is_recency_message_query(question: str) -> bool: return bool(_RECENCY_MESSAGE_PATTERN.search(question.strip())) @@ -225,16 +271,32 @@ def _latest_discord_message() -> str | None: ) +def _answer_from_latest_message_with_llm(question: str, latest_message: str, llm) -> str: + """Use the LLM to phrase an answer grounded in the latest Discord message.""" + prompt = ( + "You are answering a question about the latest Discord message.\n" + "Use only the provided latest-message data and do not invent details.\n" + "Keep the answer concise and natural.\n\n" + f"User question: {question}\n\n" + f"{latest_message}\n" + ) + chain = RunnableLambda(lambda p: llm.invoke(p).content) + return _invoke_with_timeout(chain, prompt) + + def ask_question(question: str) -> str: """Answer a user question from the configured RAG pipeline.""" if _is_recency_message_query(question): + latest = None try: latest = _latest_discord_message() if latest: - return latest + llm = get_llm() + return _answer_from_latest_message_with_llm(question, latest, llm) except Exception: - # Fall back to standard RAG path if deterministic lookup fails. - pass + # Fall back to deterministic latest message, then standard RAG path. + if latest: + return latest try: llm = get_llm() @@ -243,28 +305,30 @@ def ask_question(question: str) -> str: try: vector_store = get_vector_store() - retriever = vector_store.as_retriever(search_kwargs={"k": 3}) + retriever = vector_store.as_retriever(search_kwargs={"k": 6}) except ConfigurationError as exc: # Allow non-Google LLM setups to run using local lexical retrieval. if "GOOGLE_API_KEY" in str(exc): - retriever = RunnableLambda(lambda q: _fallback_keyword_retrieve(q, k=3)) + retriever = RunnableLambda(lambda q: _fallback_keyword_retrieve(q, k=6)) else: raise AskConfigError(str(exc)) from exc except Exception as exc: message = str(exc) # Qdrant local mode uses a file lock and can fail when another process has opened it. if "already accessed by another instance of Qdrant client" in message: - retriever = RunnableLambda(lambda q: _fallback_keyword_retrieve(q, k=3)) + retriever = RunnableLambda(lambda q: _fallback_keyword_retrieve(q, k=6)) else: raise AskConfigError(f"Vector store initialization failed: {message}") from exc prompt = build_rag_prompt_template() + normalized_question = _normalize_question(question) def _build_chain(model): return ( { - "context": retriever | RunnableLambda(_format_context), - "question": RunnablePassthrough(), + "context": RunnableLambda(lambda q: _retrieve_with_rewrites(q, retriever, k=6)) + | RunnableLambda(_format_context), + "question": RunnableLambda(lambda _q: normalized_question), } | prompt | model diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index 9ef072f..8ce5094 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -5,15 +5,21 @@ def test_ask_question_uses_latest_shortcut(monkeypatch): monkeypatch.setattr(qa_service, "_latest_discord_message", lambda: "latest-message") + monkeypatch.setattr( + qa_service, + "_invoke_with_timeout", + lambda chain, question, timeout_seconds=30: chain.invoke(question), + ) - def _should_not_run(): - raise AssertionError("get_llm should not be called for latest-message intent") + class FakeLLM: + def invoke(self, _prompt): + return SimpleNamespace(content="LLM formatted latest answer") - monkeypatch.setattr(qa_service, "get_llm", _should_not_run) + monkeypatch.setattr(qa_service, "get_llm", lambda: FakeLLM()) answer = qa_service.ask_question("whats the last message") - assert answer == "latest-message" + assert answer == "LLM formatted latest answer" def test_latest_discord_message_picks_newest_timestamp(monkeypatch): From 9e4962ef12b7169ed0ef537f097e7cdb156f8516 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 9 Mar 2026 19:20:48 +0100 Subject: [PATCH 056/127] feat: add tests for question normalization and retrieval with rewrites --- tests/unit/test_qa_service.py | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index 8ce5094..5a72a4a 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -64,3 +64,31 @@ def scroll(self, **_kwargs): assert "author: b" in result assert "channel_id: c2" in result assert "newest message" in result + + +def test_normalize_question_rewrites_common_broken_phrase(): + normalized = qa_service._normalize_question("whats the we have today") + assert normalized.lower() == "what is do we have today" + + +def test_retrieve_with_rewrites_merges_when_rewrite_changes_query(monkeypatch): + original_doc = SimpleNamespace( + page_content="original result", + metadata={"source": "discord", "message_id": "1"}, + ) + normalized_doc = SimpleNamespace( + page_content="normalized result", + metadata={"source": "discord", "message_id": "2"}, + ) + + class FakeRetriever: + def invoke(self, query): + if query == "whats the we have today": + return [original_doc] + return [normalized_doc] + + docs = qa_service._retrieve_with_rewrites("whats the we have today", FakeRetriever(), k=6) + + assert len(docs) == 2 + assert docs[0].page_content == "original result" + assert docs[1].page_content == "normalized result" From 69326724171326f6a2d57eab9858994c60961fa7 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 9 Mar 2026 19:21:17 +0100 Subject: [PATCH 057/127] feat: enhance question processing by adding temporal context augmentation --- src/maicro/services/qa_service.py | 13 +++++++++++-- tests/unit/test_qa_service.py | 10 ++++++++++ 2 files changed, 21 insertions(+), 2 deletions(-) diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index e1d687f..6a02399 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -3,7 +3,7 @@ import json import re from concurrent.futures import ThreadPoolExecutor, TimeoutError as FutureTimeoutError -from datetime import datetime +from datetime import datetime, timezone from functools import lru_cache from pathlib import Path @@ -35,6 +35,7 @@ class AskConfigError(AskError): (re.compile(r"\bgonna\b", re.IGNORECASE), "going to"), (re.compile(r"\bthe\s+we\s+have\b", re.IGNORECASE), "do we have"), ] +_TEMPORAL_KEYWORDS_PATTERN = re.compile(r"\b(today|tomorrow|yesterday|this week|next week)\b", re.IGNORECASE) def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEOUT_SECONDS) -> str: @@ -195,6 +196,13 @@ def _retrieve_with_rewrites(question: str, retriever, k: int = 6) -> list[Docume return _merge_docs(primary, secondary, limit=k) +def _augment_temporal_question(question: str) -> str: + if not _TEMPORAL_KEYWORDS_PATTERN.search(question): + return question + ref_date = datetime.now(timezone.utc).date().isoformat() + return f"{question}\nReference date (UTC): {ref_date}" + + def _is_recency_message_query(question: str) -> bool: return bool(_RECENCY_MESSAGE_PATTERN.search(question.strip())) @@ -322,13 +330,14 @@ def ask_question(question: str) -> str: prompt = build_rag_prompt_template() normalized_question = _normalize_question(question) + effective_question = _augment_temporal_question(normalized_question) def _build_chain(model): return ( { "context": RunnableLambda(lambda q: _retrieve_with_rewrites(q, retriever, k=6)) | RunnableLambda(_format_context), - "question": RunnableLambda(lambda _q: normalized_question), + "question": RunnableLambda(lambda _q: effective_question), } | prompt | model diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index 5a72a4a..b655224 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -92,3 +92,13 @@ def invoke(self, query): assert len(docs) == 2 assert docs[0].page_content == "original result" assert docs[1].page_content == "normalized result" + + +def test_augment_temporal_question_adds_reference_date(): + augmented = qa_service._augment_temporal_question("what do we have today") + assert "Reference date (UTC): " in augmented + + +def test_augment_temporal_question_keeps_non_temporal_query(): + question = "who is the dev manager" + assert qa_service._augment_temporal_question(question) == question From 1c8ae6bdfe4acee80a885a82ee1b55c53e7e53b7 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 9 Mar 2026 19:22:32 +0100 Subject: [PATCH 058/127] feat: add support for today's updates query in QA service with corresponding tests --- src/maicro/services/qa_service.py | 97 +++++++++++++++++++++++++++++++ tests/unit/test_qa_service.py | 15 +++++ 2 files changed, 112 insertions(+) diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index 6a02399..c2661ea 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -29,6 +29,10 @@ class AskConfigError(AskError): r"\b(last|latest|most recent|newest)\b.*\b(message|msg|post)\b|\bwhat(?:'s| is)\s+the\s+last\s+message\b", re.IGNORECASE, ) +_TODAY_UPDATES_PATTERN = re.compile( + r"\b(today)\b.*\b(update|updates|plan|agenda|have|happening)\b|\bwhat\b.*\b(have|happening)\b.*\btoday\b", + re.IGNORECASE, +) _QUESTION_REWRITES: list[tuple[re.Pattern[str], str]] = [ (re.compile(r"\bwhats\b", re.IGNORECASE), "what is"), (re.compile(r"\bwanna\b", re.IGNORECASE), "want to"), @@ -207,6 +211,10 @@ def _is_recency_message_query(question: str) -> bool: return bool(_RECENCY_MESSAGE_PATTERN.search(question.strip())) +def _is_today_updates_query(question: str) -> bool: + return bool(_TODAY_UPDATES_PATTERN.search(question.strip())) + + def _parse_iso_timestamp(value: str) -> datetime | None: if not value: return None @@ -279,6 +287,57 @@ def _latest_discord_message() -> str | None: ) +def _collect_discord_messages_sorted() -> list[tuple[datetime, dict]]: + from qdrant_client.http import models as qdrant_models + + vector_store = get_vector_store() + client = vector_store.client + collection_name = vector_store.collection_name + + next_offset = None + items: list[tuple[datetime, dict]] = [] + + while True: + points, next_offset = client.scroll( + collection_name=collection_name, + scroll_filter=qdrant_models.Filter( + must=[ + qdrant_models.FieldCondition( + key="metadata.source", + match=qdrant_models.MatchValue(value="discord"), + ) + ] + ), + with_payload=True, + with_vectors=False, + limit=256, + offset=next_offset, + ) + + for point in points: + payload = point.payload or {} + metadata = payload.get("metadata") or {} + timestamp = str(metadata.get("timestamp") or "") + dt = _parse_iso_timestamp(timestamp) + if dt is None: + continue + items.append((dt, payload)) + + if next_offset is None: + break + + items.sort(key=lambda x: x[0], reverse=True) + return items + + +def _today_discord_messages(reference_date) -> list[dict]: + return [ + payload + for dt, payload in _collect_discord_messages_sorted() + if dt.date() == reference_date + ] + + def _answer_from_latest_message_with_llm(question: str, latest_message: str, llm) -> str: """Use the LLM to phrase an answer grounded in the latest Discord message.""" prompt = ( @@ -292,8 +351,46 @@ def _answer_from_latest_message_with_llm(question: str, latest_message: str, llm return _invoke_with_timeout(chain, prompt) +def _answer_today_updates_with_llm(question: str, messages: list[dict], llm, reference_date: str) -> str: + rows = [] + for item in messages[:8]: + metadata = item.get("metadata") or {} + rows.append( + f"- {metadata.get('timestamp', 'unknown')} | {metadata.get('author', 'unknown')}: " + f"{str(item.get('page_content') or '').strip()}" + ) + prompt = ( + "You are answering a question about today's Discord updates.\n" + "Use only the provided message list and do not invent details.\n" + f"Reference date (UTC): {reference_date}\n\n" + f"User question: {question}\n\n" + "Messages:\n" + + "\n".join(rows) + ) + chain = RunnableLambda(lambda p: llm.invoke(p).content) + return _invoke_with_timeout(chain, prompt) + + def ask_question(question: str) -> str: """Answer a user question from the configured RAG pipeline.""" + if _is_today_updates_query(question): + try: + llm = get_llm() + ref_date = datetime.now(timezone.utc).date() + today_messages = _today_discord_messages(reference_date=ref_date) + if today_messages: + return _answer_today_updates_with_llm( + question=question, + messages=today_messages, + llm=llm, + reference_date=ref_date.isoformat(), + ) + latest = _latest_discord_message() + if latest: + return _answer_from_latest_message_with_llm(question, latest, llm) + except Exception: + pass + if _is_recency_message_query(question): latest = None try: diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index b655224..6d438f0 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -102,3 +102,18 @@ def test_augment_temporal_question_adds_reference_date(): def test_augment_temporal_question_keeps_non_temporal_query(): question = "who is the dev manager" assert qa_service._augment_temporal_question(question) == question + + +def test_today_updates_query_uses_llm_summary(monkeypatch): + monkeypatch.setattr(qa_service, "_is_today_updates_query", lambda _q: True) + monkeypatch.setattr(qa_service, "_today_discord_messages", lambda reference_date: [{"metadata": {"timestamp": "2026-03-09T12:00:00+00:00", "author": "u"}, "page_content": "Meeting at 2pm"}]) + monkeypatch.setattr(qa_service, "_invoke_with_timeout", lambda chain, question, timeout_seconds=30: chain.invoke(question)) + + class FakeLLM: + def invoke(self, _prompt): + return SimpleNamespace(content="Today summary") + + monkeypatch.setattr(qa_service, "get_llm", lambda: FakeLLM()) + + answer = qa_service.ask_question("whats the we have today") + assert answer == "Today summary" From dd55b05e2139cda5ca70c246212a4a6ac22b0bd3 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 9 Mar 2026 19:29:15 +0100 Subject: [PATCH 059/127] feat: enhance today updates query pattern and add corresponding test --- src/maicro/services/qa_service.py | 2 +- tests/unit/test_qa_service.py | 4 ++++ 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index c2661ea..72fa3db 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -30,7 +30,7 @@ class AskConfigError(AskError): re.IGNORECASE, ) _TODAY_UPDATES_PATTERN = re.compile( - r"\b(today)\b.*\b(update|updates|plan|agenda|have|happening)\b|\bwhat\b.*\b(have|happening)\b.*\btoday\b", + r"\b(today)\b.*\b(update|updates|plan|agenda|have|happening)\b|\bwhat(?:'s|s)?\b.*\b(have|happening)\b.*\btoday\b", re.IGNORECASE, ) _QUESTION_REWRITES: list[tuple[re.Pattern[str], str]] = [ diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index 6d438f0..a79ad7f 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -117,3 +117,7 @@ def invoke(self, _prompt): answer = qa_service.ask_question("whats the we have today") assert answer == "Today summary" + + +def test_today_updates_pattern_matches_whats_phrase(): + assert qa_service._is_today_updates_query("whats the we have today") From ab01592644a1491b0e7f080eb39900bc3d66b129 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 9 Mar 2026 19:36:21 +0100 Subject: [PATCH 060/127] feat: add tests for today updates query handling and fallback logic --- tests/unit/test_qa_service.py | 36 +++++++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index a79ad7f..909eff0 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -121,3 +121,39 @@ def invoke(self, _prompt): def test_today_updates_pattern_matches_whats_phrase(): assert qa_service._is_today_updates_query("whats the we have today") + + +def test_retrieve_with_rewrites_deduplicates_results(): + shared_doc = SimpleNamespace( + page_content="same result", + metadata={"source": "discord", "message_id": "same"}, + ) + + class FakeRetriever: + def invoke(self, _query): + return [shared_doc] + + docs = qa_service._retrieve_with_rewrites("whats the we have today", FakeRetriever(), k=6) + + assert len(docs) == 1 + assert docs[0].page_content == "same result" + + +def test_today_updates_without_today_messages_falls_back_to_latest(monkeypatch): + monkeypatch.setattr(qa_service, "_is_today_updates_query", lambda _q: True) + monkeypatch.setattr(qa_service, "_today_discord_messages", lambda reference_date: []) + monkeypatch.setattr(qa_service, "_latest_discord_message", lambda: "Latest Discord message:\n- content: fallback") + monkeypatch.setattr( + qa_service, + "_invoke_with_timeout", + lambda chain, question, timeout_seconds=30: chain.invoke(question), + ) + + class FakeLLM: + def invoke(self, _prompt): + return SimpleNamespace(content="Fallback latest summary") + + monkeypatch.setattr(qa_service, "get_llm", lambda: FakeLLM()) + + answer = qa_service.ask_question("what do we have today") + assert answer == "Fallback latest summary" From 4a7f7487cca8c69d8a17e796dc40a3480b4934ae Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 10 Mar 2026 02:44:46 +0100 Subject: [PATCH 061/127] feat: add ingestion tests for Discord message handling and collection bootstrapping --- tests/unit/test_ingestion.py | 113 ++++++++++++++++++++++++++++++++++ tests/unit/test_qa_service.py | 104 +++++++++++++++++++++++++++++++ 2 files changed, 217 insertions(+) create mode 100644 tests/unit/test_ingestion.py diff --git a/tests/unit/test_ingestion.py b/tests/unit/test_ingestion.py new file mode 100644 index 0000000..298c628 --- /dev/null +++ b/tests/unit/test_ingestion.py @@ -0,0 +1,113 @@ +import asyncio +from types import SimpleNamespace + +from langchain_core.documents import Document + +from maicro.core import ingestion +from maicro.core.discord_fetcher import DiscordFetchError + + +def test_docs_from_discord_messages_skips_blank_content_and_appends_embeds(): + messages = [ + {"id": "ignored", "content": " "}, + { + "id": "42", + "content": "Standup in 10 minutes", + "author": {"username": "alice"}, + "timestamp": "2026-03-10T08:30:00+00:00", + "embeds": [{"title": "Agenda", "description": "Sprint review"}], + }, + ] + + docs = ingestion._docs_from_discord_messages(messages, channel_id="chan-1") + + assert len(docs) == 1 + assert docs[0].page_content == "[alice] Standup in 10 minutes\nAgenda\nSprint review" + assert docs[0].metadata == { + "source": "discord", + "channel_id": "chan-1", + "message_id": "42", + "author": "alice", + "timestamp": "2026-03-10T08:30:00+00:00", + } + + +def test_ingest_documents_bootstraps_missing_collection(monkeypatch): + documents = [Document(page_content="Release planning", metadata={"source": "json_file"})] + bootstrapped = {} + + class BrokenVectorStore: + def add_documents(self, _documents): + raise RuntimeError("Collection microclub_knowledge not found") + + class WorkingVectorStore: + def __init__(self): + self.added = [] + + def add_documents(self, new_documents): + self.added.extend(new_documents) + + working_store = WorkingVectorStore() + + class VectorStoreGetter: + def __init__(self): + self.calls = 0 + self.cache_clears = 0 + + def __call__(self): + self.calls += 1 + if self.calls == 1: + return BrokenVectorStore() + return working_store + + def cache_clear(self): + self.cache_clears += 1 + + getter = VectorStoreGetter() + + monkeypatch.setattr(ingestion, "get_vector_store", getter) + monkeypatch.setattr( + ingestion, + "get_embeddings", + lambda: SimpleNamespace(embed_query=lambda _query: [0.1, 0.2, 0.3, 0.4]), + ) + monkeypatch.setattr( + ingestion, + "_ensure_collection_exists", + lambda vector_size: bootstrapped.setdefault("vector_size", vector_size), + ) + + count = ingestion.ingest_documents(documents) + + assert count == 1 + assert bootstrapped["vector_size"] == 4 + assert getter.cache_clears == 1 + assert working_store.added == documents + + +def test_ingest_from_discord_collects_successes_and_permission_errors(monkeypatch): + monkeypatch.setattr(ingestion.settings, "DISCORD_BOT_TOKEN", "discord-token") + monkeypatch.setattr(ingestion.settings, "DISCORD_CHANNEL_IDS", "denied,open") + + async def fake_fetch_channel_messages(bot_token: str, channel_id: str, limit: int = 100): + assert bot_token == "discord-token" + assert limit == 25 + if channel_id == "denied": + raise DiscordFetchError(channel_id=channel_id, status_code=403, message="forbidden") + return [ + { + "id": "m1", + "content": "Shipping update", + "author": {"username": "bob"}, + "timestamp": "2026-03-10T09:00:00+00:00", + } + ] + + monkeypatch.setattr("maicro.core.discord_fetcher.fetch_channel_messages", fake_fetch_channel_messages) + monkeypatch.setattr(ingestion, "ingest_documents", lambda docs: len(docs)) + + result = asyncio.run(ingestion.ingest_from_discord(limit_per_channel=25)) + + assert result["channels"] == {"open": 1} + assert "Missing access to channel" in result["errors"]["denied"] + assert result["total_documents"] == 1 diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index 909eff0..91f77b8 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -1,5 +1,8 @@ from types import SimpleNamespace +from langchain_core.documents import Document +from langchain_core.runnables import RunnableLambda + from maicro.services import qa_service @@ -157,3 +160,104 @@ def invoke(self, _prompt): answer = qa_service.ask_question("what do we have today") assert answer == "Fallback latest summary" + + +def test_collect_discord_messages_sorted_handles_pagination(monkeypatch): + pages = [ + ( + [ + SimpleNamespace(payload={"metadata": {"timestamp": "not-a-timestamp"}}), + SimpleNamespace( + payload={ + "page_content": "older", + "metadata": {"timestamp": "2026-03-09T08:00:00+00:00", "author": "older"}, + } + ), + ], + "page-2", + ), + ( + [ + SimpleNamespace( + payload={ + "page_content": "newer", + "metadata": {"timestamp": "2026-03-10T09:30:00+00:00", "author": "newer"}, + } + ) + ], + None, + ), + ] + + class FakeClient: + def __init__(self): + self.offsets = [] + + def scroll(self, **kwargs): + self.offsets.append(kwargs["offset"]) + return pages.pop(0) + + fake_vector_store = SimpleNamespace( + client=FakeClient(), + collection_name="microclub_knowledge", + ) + monkeypatch.setattr(qa_service, "get_vector_store", lambda: fake_vector_store) + + result = qa_service._collect_discord_messages_sorted() + + assert fake_vector_store.client.offsets == [None, "page-2"] + assert [payload["page_content"] for _, payload in result] == ["newer", "older"] + + +def test_ask_question_recency_query_returns_latest_message_when_llm_fails(monkeypatch): + latest_message = "Latest Discord message:\n- content: fallback" + + monkeypatch.setattr(qa_service, "_latest_discord_message", lambda: latest_message) + monkeypatch.setattr( + qa_service, + "get_llm", + lambda: (_ for _ in ()).throw(RuntimeError("gemini unavailable")), + ) + + answer = qa_service.ask_question("what is the last message") + + assert answer == latest_message + + +def test_ask_question_uses_keyword_fallback_when_qdrant_is_locked(monkeypatch): + fallback_calls = [] + docs = [ + Document( + page_content="Roadmap sync at 3pm", + metadata={"source": "data/announcements.json", "date": "2026-03-10"}, + ) + ] + + monkeypatch.setattr(qa_service, "get_llm", lambda: RunnableLambda(lambda _prompt: "keyword fallback answer")) + monkeypatch.setattr( + qa_service, + "get_vector_store", + lambda: (_ for _ in ()).throw( + RuntimeError("Storage already accessed by another instance of Qdrant client") + ), + ) + monkeypatch.setattr( + qa_service, + "_fallback_keyword_retrieve", + lambda question, k=6: fallback_calls.append((question, k)) or docs, + ) + monkeypatch.setattr( + qa_service, + "build_rag_prompt_template", + lambda: RunnableLambda(lambda data: f"{data['question']}\n{data['context']}"), + ) + monkeypatch.setattr( + qa_service, + "_invoke_with_timeout", + lambda chain, question, timeout_seconds=30: chain.invoke(question), + ) + + answer = qa_service.ask_question("roadmap sync") + + assert answer == "keyword fallback answer" + assert fallback_calls == [("roadmap sync", 6)] From 7065de8d7954f24745220b544b7b4889399ba2f0 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 10 Mar 2026 03:27:54 +0100 Subject: [PATCH 062/127] feat: refactor tests to use async client for improved performance --- tests/api/test_routes.py | 24 ++++++++++++++++-------- 1 file changed, 16 insertions(+), 8 deletions(-) diff --git a/tests/api/test_routes.py b/tests/api/test_routes.py index 046834b..8567c7c 100644 --- a/tests/api/test_routes.py +++ b/tests/api/test_routes.py @@ -1,15 +1,23 @@ -from fastapi.testclient import TestClient +import asyncio + +import httpx import maicro.api.routes as routes from maicro.services.qa_service import AskError from maicro.main import app -client = TestClient(app) +def request(method: str, path: str, **kwargs): + async def _send(): + transport = httpx.ASGITransport(app=app) + async with httpx.AsyncClient(transport=transport, base_url="http://testserver") as client: + return await client.request(method, path, **kwargs) + + return asyncio.run(_send()) def test_health_endpoint_returns_ok(): - res = client.get("/api/v1/health") + res = request("GET", "/api/v1/health") assert res.status_code == 200 body = res.json() @@ -18,7 +26,7 @@ def test_health_endpoint_returns_ok(): def test_ask_rejects_empty_question(): - res = client.post("/api/v1/ask", json={"question": " "}) + res = request("POST", "/api/v1/ask", json={"question": " "}) assert res.status_code == 400 assert "cannot be empty" in res.json()["detail"].lower() @@ -27,7 +35,7 @@ def test_ask_rejects_empty_question(): def test_ask_success(monkeypatch): monkeypatch.setattr(routes, "ask_question", lambda q: "answer: " + q) - res = client.post("/api/v1/ask", json={"question": "hello"}) + res = request("POST", "/api/v1/ask", json={"question": "hello"}) assert res.status_code == 200 assert res.json() == {"question": "hello", "answer": "answer: hello"} @@ -39,7 +47,7 @@ def _raise(_q): monkeypatch.setattr(routes, "ask_question", _raise) - res = client.post("/api/v1/ask", json={"question": "hello"}) + res = request("POST", "/api/v1/ask", json={"question": "hello"}) assert res.status_code == 502 assert "upstream failed" in res.json()["detail"] @@ -49,7 +57,7 @@ def test_ingest_discord_requires_token(monkeypatch): monkeypatch.setattr(routes.settings, "DISCORD_BOT_TOKEN", None) monkeypatch.setattr(routes.settings, "DISCORD_CHANNEL_IDS", "123") - res = client.post("/api/v1/ingest/discord") + res = request("POST", "/api/v1/ingest/discord") assert res.status_code == 400 assert "DISCORD_BOT_TOKEN" in res.json()["detail"] @@ -70,7 +78,7 @@ async def _fake_ingest(): monkeypatch.setattr(ingestion, "ingest_from_discord", _fake_ingest) - res = client.post("/api/v1/ingest/discord") + res = request("POST", "/api/v1/ingest/discord") assert res.status_code == 200 body = res.json() From 3f143e0bb47f777b7db71d2ca1ce1c5c68cf4cd3 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 10 Mar 2026 14:49:28 +0100 Subject: [PATCH 063/127] feat: remove test file for Google GenAI client --- test.py | 27 --------------------------- 1 file changed, 27 deletions(-) delete mode 100644 test.py diff --git a/test.py b/test.py deleted file mode 100644 index a361575..0000000 --- a/test.py +++ /dev/null @@ -1,27 +0,0 @@ -import os - -from google import genai -from google.genai import errors - - -api_key = "AIzaSyBxPPYebe1TWSRjq8qJi3AjS4y-7x7R3E8" -if not api_key: - raise SystemExit( - "GOOGLE_API_KEY is not set. Export it first, for example: " - "export GOOGLE_API_KEY='your-valid-key'" - ) - -client = genai.Client(api_key=api_key) - -try: - response = client.models.generate_content( - model="gemini-2.5-flash", - contents="Explain quantum computing to a cat.", - ) - print(response.text) -except errors.ClientError as exc: - raise SystemExit( - "Gemini API request failed. This usually means the API key is invalid/expired " - "or does not have access to this model. Check GOOGLE_API_KEY and retry.\n" - f"Details: {exc}" - ) \ No newline at end of file From dce069f6676c4e40eebc06f7e09ead3751a12321 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 10 Mar 2026 15:01:45 +0100 Subject: [PATCH 064/127] Prepare for open source --- .github/workflows/ci.yml | 31 ++++++++++++++++ .gitignore | 1 + CONTRIBUTING.md | 34 ++++++++++++++++++ README.md | 9 +++++ local_qdrant/.lock | 1 - .../microclub_knowledge/storage.sqlite | Bin 913408 -> 0 bytes local_qdrant/meta.json | 1 - 7 files changed, 75 insertions(+), 2 deletions(-) create mode 100644 .github/workflows/ci.yml create mode 100644 CONTRIBUTING.md delete mode 100644 local_qdrant/.lock delete mode 100644 local_qdrant/collection/microclub_knowledge/storage.sqlite delete mode 100644 local_qdrant/meta.json diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..662f393 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,31 @@ +name: CI + +on: + push: + pull_request: + +jobs: + test: + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + python-version: ["3.10", "3.11", "3.12"] + steps: + - uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Set up uv + uses: astral-sh/setup-uv@v4 + with: + version: "latest" + + - name: Install dependencies + run: uv sync --dev + + - name: Run tests + run: uv run pytest diff --git a/.gitignore b/.gitignore index b7faf40..7d0efcb 100644 --- a/.gitignore +++ b/.gitignore @@ -19,6 +19,7 @@ lib64/ parts/ sdist/ var/ +local_qdrant/ wheels/ share/python-wheels/ *.egg-info/ diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 0000000..d8d152c --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,34 @@ +# Contributing + +Thanks for your interest in contributing to **mAIcro**. + +## Development setup + +This repo uses `uv` for dependency management. + +```bash +uv sync --dev +``` + +Run tests: + +```bash +uv run pytest +``` + +Start the API locally: + +```bash +uv run uvicorn maicro.main:app --reload +``` + +## Pull requests + +- Keep PRs focused and small when possible. +- Include tests for behavior changes and bug fixes. +- Update `README.md` if you change user-facing behavior. + +## Reporting issues + +Use GitHub Issues for bugs and feature requests. + diff --git a/README.md b/README.md index ed068be..205cbc1 100644 --- a/README.md +++ b/README.md @@ -13,6 +13,15 @@ Do not use `pip install -r requirements.txt`. This build is **Gemini-only**: set `LLM_PROVIDER=google` and configure `GOOGLE_API_KEY`. +## Open-Source Release Checklist + +To publish this project as true open source: + +1. Add a `LICENSE` file (no license means others cannot legally reuse the code). +2. Keep secrets out of git: never commit `.env` (use `.env.example` instead). +3. Keep runtime state out of git: do not commit local vector DB files (for example `var/` or `local_qdrant/`). +4. Publish the repo (for example on GitHub) as public and accept contributions via PRs. + ## API Usage After starting the server, the API is available under `/api/v1`: diff --git a/local_qdrant/.lock b/local_qdrant/.lock deleted file mode 100644 index a4b31f4..0000000 --- a/local_qdrant/.lock +++ /dev/null @@ -1 +0,0 @@ -tmp lock file \ No newline at end of file diff --git a/local_qdrant/collection/microclub_knowledge/storage.sqlite b/local_qdrant/collection/microclub_knowledge/storage.sqlite deleted file mode 100644 index 77be76252f6b198757a35ff928553670b2f74874..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 913408 zcmeFZXH*nh*ELEORFaqwi3$c(kYFG+xdfpJlA4@D1Cmpdnj9sGB1#4^Clmz*8W1p` zU<6c@zd+3H6Zh3<&mj z36)S}5ny3uWzm$7U}0fl{vF2O|M|m;Hyr=-5B!(;@Bi(O1j{yB5HJ4^7B>DE7XBFi z?*HwCzu*5w;4cDy5%`P1Uj+Ul@E3u<2>eChF9LrN_=~__1pfbqfH5oADq&&Ph)@?- zKaaowpZ%dB|9NH8G1t?w(37yx(l*kQ_|In&8-3g*Ec9$FBuvc>jJ3=u5_|P1TmJK< 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null, "optimizers_config": null, "quantization_config": null, "sparse_vectors": {}, "strict_mode_config": null, "metadata": null}}, "aliases": {}} \ No newline at end of file From 24489ac80b66777b505a0e03bb4a604ed8f6b3c3 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 10 Mar 2026 15:16:09 +0100 Subject: [PATCH 065/127] feat: enhance configuration and error handling for Qdrant integration --- .env.example | 4 +++- README.md | 10 +++++++++- SECURITY.md | 10 ++++++++++ src/maicro/cli.py | 27 --------------------------- src/maicro/core/config.py | 1 - src/maicro/core/vector_store.py | 9 +++------ src/maicro/services/qa_service.py | 19 +++++++++++++++++-- 7 files changed, 42 insertions(+), 38 deletions(-) create mode 100644 SECURITY.md diff --git a/.env.example b/.env.example index f7e489e..3c3805f 100644 --- a/.env.example +++ b/.env.example @@ -1,4 +1,6 @@ LLM_PROVIDER=google DISCORD_BOT_TOKEN= DISCORD_CHANNEL_IDS= -GOOGLE_API_KEY= \ No newline at end of file +GOOGLE_API_KEY= +QDRANT_URL=http://localhost:6333 +QDRANT_API_KEY= diff --git a/README.md b/README.md index 205cbc1..3db737f 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,14 @@ This project uses `uv` as the single dependency manager. +Start a Qdrant server (required): + +```bash +docker run --rm -p 6333:6333 qdrant/qdrant +``` + +Configure `.env` (copy from `.env.example`) and set at least `GOOGLE_API_KEY` and `QDRANT_URL`. + ```bash uv sync uv run uvicorn maicro.main:app --reload @@ -19,7 +27,7 @@ To publish this project as true open source: 1. Add a `LICENSE` file (no license means others cannot legally reuse the code). 2. Keep secrets out of git: never commit `.env` (use `.env.example` instead). -3. Keep runtime state out of git: do not commit local vector DB files (for example `var/` or `local_qdrant/`). +3. Keep runtime state out of git: do not commit runtime state directories (for example `var/`). 4. Publish the repo (for example on GitHub) as public and accept contributions via PRs. ## API Usage diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 0000000..c3ad810 --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,10 @@ +# Security Policy + +## Reporting a vulnerability + +Please do not open a public issue for suspected security vulnerabilities. + +Preferred: use GitHub's private vulnerability reporting (Security Advisories) for this repository. + +If that is not available, open a minimal public issue that does not include exploit details and ask for a private contact method. + diff --git a/src/maicro/cli.py b/src/maicro/cli.py index 19d7f73..93484cd 100644 --- a/src/maicro/cli.py +++ b/src/maicro/cli.py @@ -2,10 +2,7 @@ import argparse import asyncio -import json import sys -import urllib.error -import urllib.request from maicro.core.config import settings from maicro.services.qa_service import AskError, ask_question @@ -107,29 +104,5 @@ def ingest_main() -> None: count = ingest_from_json(args.path) print(f"Ingestion complete. Documents ingested: {count}") except Exception as exc: - message = str(exc) - if "already accessed by another instance of Qdrant client" in message: - # If the API server already owns the local Qdrant lock, delegate ingestion to it. - try: - req = urllib.request.Request( - "http://localhost:8000/api/v1/ingest", - data=json.dumps({"path": "data/announcements.json"}).encode("utf-8"), - headers={"Content-Type": "application/json"}, - method="POST", - ) - with urllib.request.urlopen(req, timeout=60) as response: - payload = json.loads(response.read().decode("utf-8")) - print( - "Ingestion complete via API fallback. " - f"Documents ingested: {payload.get('documents_ingested', 0)}" - ) - return - except urllib.error.URLError: - print( - "Error: local Qdrant storage is locked by another process and API fallback failed. " - "Start the API server (`uv run uvicorn maicro.main:app --reload`) or stop the other process." - ) - raise SystemExit(2) from exc - print(f"Error: {exc}") raise SystemExit(2) from exc diff --git a/src/maicro/core/config.py b/src/maicro/core/config.py index 509a275..7dc10cb 100644 --- a/src/maicro/core/config.py +++ b/src/maicro/core/config.py @@ -24,7 +24,6 @@ class Settings(BaseSettings): QDRANT_URL: str = "http://localhost:6333" QDRANT_API_KEY: Optional[str] = None COLLECTION_NAME: str = "microclub_knowledge" - QDRANT_PATH: str = "var/qdrant" model_config = SettingsConfigDict( case_sensitive=True, diff --git a/src/maicro/core/vector_store.py b/src/maicro/core/vector_store.py index c1099d7..b3df29d 100644 --- a/src/maicro/core/vector_store.py +++ b/src/maicro/core/vector_store.py @@ -1,6 +1,5 @@ import atexit from functools import lru_cache -from pathlib import Path from qdrant_client import QdrantClient from qdrant_client.http import models as qdrant_models @@ -11,15 +10,13 @@ @lru_cache(maxsize=1) def get_qdrant_client() -> QdrantClient: - """Return a singleton local Qdrant client for this process.""" - path = Path(settings.QDRANT_PATH) - path.mkdir(parents=True, exist_ok=True) - return QdrantClient(path=str(path)) + """Return a singleton Qdrant client for this process.""" + return QdrantClient(url=settings.QDRANT_URL, api_key=settings.QDRANT_API_KEY) @lru_cache(maxsize=1) def get_vector_store() -> QdrantVectorStore: - """Return a vector store backed by the singleton local Qdrant client.""" + """Return a vector store backed by the singleton Qdrant client.""" return QdrantVectorStore( client=get_qdrant_client(), collection_name=settings.COLLECTION_NAME, diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index 72fa3db..6b66394 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -419,8 +419,23 @@ def ask_question(question: str) -> str: raise AskConfigError(str(exc)) from exc except Exception as exc: message = str(exc) - # Qdrant local mode uses a file lock and can fail when another process has opened it. - if "already accessed by another instance of Qdrant client" in message: + lowered = message.lower() + is_lock = "already accessed by another instance of qdrant client" in lowered + is_connection = any( + needle in lowered + for needle in ( + "connection refused", + "failed to establish a new connection", + "max retries exceeded", + "connection error", + "connectionerror", + "timed out", + "timeout", + "name or service not known", + "temporary failure in name resolution", + ) + ) + if is_lock or is_connection: retriever = RunnableLambda(lambda q: _fallback_keyword_retrieve(q, k=6)) else: raise AskConfigError(f"Vector store initialization failed: {message}") from exc From 31cb65f9810d6648335f0e5ee0c0dcd21b24d553 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 10 Mar 2026 15:51:05 +0100 Subject: [PATCH 066/127] feat: improve error handling for ingestion and Qdrant client initialization --- src/maicro/api/routes.py | 5 ++++- src/maicro/core/ingestion.py | 7 +++++++ src/maicro/core/vector_store.py | 4 +++- 3 files changed, 14 insertions(+), 2 deletions(-) diff --git a/src/maicro/api/routes.py b/src/maicro/api/routes.py index 0071990..f33aacf 100644 --- a/src/maicro/api/routes.py +++ b/src/maicro/api/routes.py @@ -42,7 +42,10 @@ async def ingest_file(req: IngestFileRequest): """Ingest documents from a local JSON file.""" from maicro.core.ingestion import ingest_from_json - count = ingest_from_json(req.path) + try: + count = ingest_from_json(req.path) + except ValueError as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc return IngestResponse(status="ok", documents_ingested=count) diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index be460c6..9a9078f 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -12,6 +12,7 @@ from langchain_core.documents import Document from qdrant_client.http import models as qdrant_models +from qdrant_client.http.exceptions import UnexpectedResponse from maicro.core.config import settings from maicro.core.llm_provider import get_embeddings @@ -111,6 +112,12 @@ def ingest_documents(documents: list[Document]) -> int: try: vector_store = get_vector_store() vector_store.add_documents(documents) + except UnexpectedResponse as exc: + if exc.status_code == 401: + raise ValueError( + "Qdrant unauthorized (401). Check QDRANT_URL and QDRANT_API_KEY in your .env." + ) from exc + raise except Exception as exc: # First-run behavior: create the collection automatically if missing. message = str(exc).lower() diff --git a/src/maicro/core/vector_store.py b/src/maicro/core/vector_store.py index b3df29d..9e5a1a1 100644 --- a/src/maicro/core/vector_store.py +++ b/src/maicro/core/vector_store.py @@ -11,7 +11,9 @@ @lru_cache(maxsize=1) def get_qdrant_client() -> QdrantClient: """Return a singleton Qdrant client for this process.""" - return QdrantClient(url=settings.QDRANT_URL, api_key=settings.QDRANT_API_KEY) + if settings.QDRANT_API_KEY: + return QdrantClient(url=settings.QDRANT_URL, api_key=settings.QDRANT_API_KEY) + return QdrantClient(url=settings.QDRANT_URL) @lru_cache(maxsize=1) From 61b996ad7b41a8d203a7e0270063994685e90f2c Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Thu, 12 Mar 2026 00:41:43 +0100 Subject: [PATCH 067/127] feat: enhance error handling and bootstrap collection for Qdrant integration --- src/maicro/core/ingestion.py | 36 +++++++++++++++++++++++++++++------- 1 file changed, 29 insertions(+), 7 deletions(-) diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 9a9078f..30aaf4c 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -23,6 +23,25 @@ # Document converters # --------------------------------------------------------------------------- +def _is_missing_collection_error(message: str) -> bool: + """Return True when an exception message indicates the Qdrant collection is missing.""" + if not message: + return False + lowered = message.lower() + collection = settings.COLLECTION_NAME.lower() + if collection not in lowered: + return False + return any(needle in lowered for needle in ("doesn't exist", "does not exist", "not found")) + + +def _bootstrap_collection() -> None: + """Create the Qdrant collection (if missing) and clear vector-store cache.""" + embedding = get_embeddings() + vector_size = len(embedding.embed_query("collection bootstrap")) + _ensure_collection_exists(vector_size) + get_vector_store.cache_clear() + + def _docs_from_json_file(file_path: str) -> list[Document]: """Load documents from a JSON file with [{title, content, date}, ...].""" if not os.path.exists(file_path): @@ -117,15 +136,18 @@ def ingest_documents(documents: list[Document]) -> int: raise ValueError( "Qdrant unauthorized (401). Check QDRANT_URL and QDRANT_API_KEY in your .env." ) from exc - raise + if exc.status_code == 404 and _is_missing_collection_error( + exc.content.decode("utf-8", errors="ignore") + ): + _bootstrap_collection() + vector_store = get_vector_store() + vector_store.add_documents(documents) + else: + raise except Exception as exc: # First-run behavior: create the collection automatically if missing. - message = str(exc).lower() - if "not found" in message and settings.COLLECTION_NAME.lower() in message: - embedding = get_embeddings() - vector_size = len(embedding.embed_query("collection bootstrap")) - _ensure_collection_exists(vector_size) - get_vector_store.cache_clear() + if _is_missing_collection_error(str(exc)): + _bootstrap_collection() vector_store = get_vector_store() vector_store.add_documents(documents) else: From 4aac7b9a22265d314a8e1cfc721cae726d84fece Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Thu, 12 Mar 2026 00:42:10 +0100 Subject: [PATCH 068/127] feat: add error handling for missing Qdrant collection in ask_question --- src/maicro/services/qa_service.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index 6b66394..ccc410b 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -11,6 +11,7 @@ from langchain_core.output_parsers import StrOutputParser from langchain_core.runnables import RunnableLambda, RunnablePassthrough +from maicro.core.config import settings from maicro.core.llm_provider import ConfigurationError, get_llm from maicro.core.prompt_template import build_rag_prompt_template from maicro.core.vector_store import get_vector_store @@ -42,6 +43,16 @@ class AskConfigError(AskError): _TEMPORAL_KEYWORDS_PATTERN = re.compile(r"\b(today|tomorrow|yesterday|this week|next week)\b", re.IGNORECASE) +def _is_missing_collection_error(message: str) -> bool: + if not message: + return False + lowered = message.lower() + collection = settings.COLLECTION_NAME.lower() + if collection not in lowered: + return False + return any(needle in lowered for needle in ("doesn't exist", "does not exist", "not found")) + + def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEOUT_SECONDS) -> str: """Run model invocation with a hard timeout to avoid long-hanging requests.""" executor = ThreadPoolExecutor(max_workers=1) @@ -461,4 +472,11 @@ def _build_chain(model): try: return _invoke_with_timeout(chain, question) except Exception as exc: + if _is_missing_collection_error(str(exc)): + raise AskConfigError( + "Vector store is not initialized yet. " + f"Qdrant collection `{settings.COLLECTION_NAME}` does not exist. " + "Ingest data first (POST /api/v1/ingest with " + '{"path":"data/announcements.json"}).' + ) from exc raise AskError(_format_llm_error(exc)) from exc From d882d140dcbc8e126a3a4fda9fa8c6d84b5a3fc2 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Thu, 12 Mar 2026 00:42:27 +0100 Subject: [PATCH 069/127] feat: add tests for handling missing Qdrant collection in ingestion and QA service --- tests/unit/test_ingestion.py | 60 +++++++++++++++++++++++++++++++++++ tests/unit/test_qa_service.py | 29 +++++++++++++++++ 2 files changed, 89 insertions(+) diff --git a/tests/unit/test_ingestion.py b/tests/unit/test_ingestion.py index 298c628..0613daa 100644 --- a/tests/unit/test_ingestion.py +++ b/tests/unit/test_ingestion.py @@ -1,7 +1,9 @@ import asyncio from types import SimpleNamespace +import httpx from langchain_core.documents import Document +from qdrant_client.http.exceptions import UnexpectedResponse from maicro.core import ingestion from maicro.core.discord_fetcher import DiscordFetchError @@ -85,6 +87,64 @@ def cache_clear(self): assert working_store.added == documents +def test_ingest_documents_bootstraps_missing_collection_when_qdrant_returns_404(monkeypatch): + documents = [Document(page_content="Release planning", metadata={"source": "json_file"})] + bootstrapped = {} + + class BrokenVectorStore: + def add_documents(self, _documents): + raise UnexpectedResponse( + status_code=404, + reason_phrase="Not Found", + content=b'{"status":{"error":"Not found: Collection `microclub_knowledge` doesn\\\'t exist!"}}', + headers=httpx.Headers(), + ) + + class WorkingVectorStore: + def __init__(self): + self.added = [] + + def add_documents(self, new_documents): + self.added.extend(new_documents) + + working_store = WorkingVectorStore() + + class VectorStoreGetter: + def __init__(self): + self.calls = 0 + self.cache_clears = 0 + + def __call__(self): + self.calls += 1 + if self.calls == 1: + return BrokenVectorStore() + return working_store + + def cache_clear(self): + self.cache_clears += 1 + + getter = VectorStoreGetter() + + monkeypatch.setattr(ingestion, "get_vector_store", getter) + monkeypatch.setattr( + ingestion, + "get_embeddings", + lambda: SimpleNamespace(embed_query=lambda _query: [0.1, 0.2, 0.3, 0.4]), + ) + monkeypatch.setattr( + ingestion, + "_ensure_collection_exists", + lambda vector_size: bootstrapped.setdefault("vector_size", vector_size), + ) + + count = ingestion.ingest_documents(documents) + + assert count == 1 + assert bootstrapped["vector_size"] == 4 + assert getter.cache_clears == 1 + assert working_store.added == documents + + def test_ingest_from_discord_collects_successes_and_permission_errors(monkeypatch): monkeypatch.setattr(ingestion.settings, "DISCORD_BOT_TOKEN", "discord-token") monkeypatch.setattr(ingestion.settings, "DISCORD_CHANNEL_IDS", "denied,open") diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index 91f77b8..be17d4b 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -1,5 +1,6 @@ from types import SimpleNamespace +import pytest from langchain_core.documents import Document from langchain_core.runnables import RunnableLambda @@ -261,3 +262,31 @@ def test_ask_question_uses_keyword_fallback_when_qdrant_is_locked(monkeypatch): assert answer == "keyword fallback answer" assert fallback_calls == [("roadmap sync", 6)] + + +def test_ask_question_missing_collection_raises_config_error(monkeypatch): + class FakeRetriever: + def invoke(self, _query): + raise RuntimeError("Collection microclub_knowledge not found") + + class FakeVectorStore: + def as_retriever(self, **_kwargs): + return FakeRetriever() + + monkeypatch.setattr(qa_service, "get_llm", lambda: RunnableLambda(lambda _prompt: "ignored")) + monkeypatch.setattr(qa_service, "get_vector_store", lambda: FakeVectorStore()) + monkeypatch.setattr( + qa_service, + "build_rag_prompt_template", + lambda: RunnableLambda(lambda data: data["question"]), + ) + monkeypatch.setattr( + qa_service, + "_invoke_with_timeout", + lambda chain, question, timeout_seconds=30: chain.invoke(question), + ) + + with pytest.raises(qa_service.AskConfigError) as excinfo: + qa_service.ask_question("when is the next event?") + + assert "does not exist" in str(excinfo.value).lower() From 64d72f86ffd60866626a9301cbea79da8db48d1e Mon Sep 17 00:00:00 2001 From: bouhamza abderrahmane Date: Thu, 12 Mar 2026 16:24:40 +0100 Subject: [PATCH 070/127] feat: remove JSON ingestion support and update related documentation --- README.md | 7 +-- data/announcements.json | 12 ----- src/maicro/api/routes.py | 15 +----- src/maicro/api/schemas.py | 5 -- src/maicro/cli.py | 62 ++++++++---------------- src/maicro/core/ingestion.py | 35 +------------- src/maicro/services/qa_service.py | 79 +++---------------------------- tests/unit/test_qa_service.py | 34 ++----------- 8 files changed, 35 insertions(+), 214 deletions(-) diff --git a/README.md b/README.md index 3db737f..4cba346 100644 --- a/README.md +++ b/README.md @@ -41,10 +41,6 @@ curl -X POST http://localhost:8000/api/v1/ask \ -H "Content-Type: application/json" \ -d '{"question":"When is the next event?"}' -curl -X POST http://localhost:8000/api/v1/ingest \ - -H "Content-Type: application/json" \ - -d '{"path":"data/announcements.json"}' - curl -X POST http://localhost:8000/api/v1/ingest/discord ``` @@ -89,7 +85,7 @@ The main goals of **mAIcro** are: │ ├── api/ # HTTP routes, schemas, error handlers │ ├── core/ # Config, logging, ingestion, providers, vector store │ └── services/ # Business logic (Q&A service) -├── data/ # Local data sources used for ingestion +├── data/ # Legacy sample data (not used by default) ├── tests/ │ ├── api/ # API route tests │ └── unit/ # Unit tests @@ -223,3 +219,4 @@ Future integrations may include: * Web dashboards * APIs for other tools * Knowledge management platforms + diff --git a/data/announcements.json b/data/announcements.json index 68ae56e..e69de29 100644 --- a/data/announcements.json +++ b/data/announcements.json @@ -1,12 +0,0 @@ -[ - { - "title": "AI Team Applications", - "content": "Applications for the AI team open on March 10.", - "date": "2026-03-10" - }, - { - "title": "FrAIday Event", - "content": "FrAIday workshop about MCP will take place this Friday.", - "date": "2026-03-14" - } -] diff --git a/src/maicro/api/routes.py b/src/maicro/api/routes.py index f33aacf..6f3126d 100644 --- a/src/maicro/api/routes.py +++ b/src/maicro/api/routes.py @@ -4,7 +4,7 @@ from fastapi import APIRouter, HTTPException -from maicro.api.schemas import AskRequest, AskResponse, IngestFileRequest, IngestResponse +from maicro.api.schemas import AskRequest, AskResponse, IngestResponse from maicro.core.config import settings from maicro.services.qa_service import ask_question @@ -37,19 +37,6 @@ async def ask(req: AskRequest): return AskResponse(question=req.question, answer=answer) -@router.post("/ingest", response_model=IngestResponse) -async def ingest_file(req: IngestFileRequest): - """Ingest documents from a local JSON file.""" - from maicro.core.ingestion import ingest_from_json - - try: - count = ingest_from_json(req.path) - except ValueError as exc: - raise HTTPException(status_code=400, detail=str(exc)) from exc - - return IngestResponse(status="ok", documents_ingested=count) - - @router.post("/ingest/discord", response_model=IngestResponse) async def ingest_discord(): """Fetch messages from Discord channels and ingest them.""" diff --git a/src/maicro/api/schemas.py b/src/maicro/api/schemas.py index 50e8028..aafb272 100644 --- a/src/maicro/api/schemas.py +++ b/src/maicro/api/schemas.py @@ -14,11 +14,6 @@ class AskResponse(BaseModel): answer: str -class IngestFileRequest(BaseModel): - source: str = "file" - path: str = "data/announcements.json" - - class IngestResponse(BaseModel): status: str documents_ingested: int diff --git a/src/maicro/cli.py b/src/maicro/cli.py index 93484cd..dc600eb 100644 --- a/src/maicro/cli.py +++ b/src/maicro/cli.py @@ -36,31 +36,20 @@ def ask_main() -> None: def ingest_main() -> None: - """Ingest data from JSON (default) or Discord from the command line.""" - from maicro.core.ingestion import ingest_from_json + """Ingest data from Discord from the command line.""" parser = argparse.ArgumentParser(prog="maicro-ingest") - parser.add_argument( - "--discord", - action="store_true", - help="Ingest from configured Discord channels instead of local JSON file.", - ) parser.add_argument( "--limit", type=int, default=200, - help="Max messages to fetch per Discord channel (used with --discord).", - ) - parser.add_argument( - "--path", - default="data/announcements.json", - help="Path to JSON file (used when --discord is not set).", + help="Max messages to fetch per Discord channel.", ) args = parser.parse_args(sys.argv[1:]) - if args.discord: - from maicro.core.ingestion import ingest_from_discord + from maicro.core.ingestion import ingest_from_discord + try: if not settings.DISCORD_BOT_TOKEN: print("Error: DISCORD_BOT_TOKEN not found in .env.") raise SystemExit(1) @@ -70,39 +59,26 @@ def ingest_main() -> None: if args.limit <= 0: print("Error: --limit must be a positive integer.") raise SystemExit(1) - - try: - result = asyncio.run(ingest_from_discord(limit_per_channel=args.limit)) - status = "partial" if result.get("errors") else "ok" + if not settings.GOOGLE_API_KEY: print( - "Discord ingestion complete. " - f"Status: {status}. Documents ingested: {result.get('total_documents', 0)}" + "Error: GOOGLE_API_KEY not found in .env. " + "Ingestion embeddings currently use Google." ) - channels = result.get("channels") or {} - errors = result.get("errors") or {} - if channels: - print(f"Per-channel counts: {channels}") - if errors: - print(f"Channel errors: {errors}") - raise SystemExit(2) - return - except KeyboardInterrupt: - print("Cancelled by user.") - raise SystemExit(130) - except Exception as exc: - print(f"Error: {exc}") - raise SystemExit(2) from exc + raise SystemExit(1) - if not settings.GOOGLE_API_KEY: + result = asyncio.run(ingest_from_discord(limit_per_channel=args.limit)) + status = "partial" if result.get("errors") else "ok" print( - "Error: GOOGLE_API_KEY not found in .env. " - "Ingestion embeddings currently use Google." + "Discord ingestion complete. " + f"Status: {status}. Documents ingested: {result.get('total_documents', 0)}" ) - raise SystemExit(1) - - try: - count = ingest_from_json(args.path) - print(f"Ingestion complete. Documents ingested: {count}") + channels = result.get("channels") or {} + errors = result.get("errors") or {} + if channels: + print(f"Per-channel counts: {channels}") + if errors: + print(f"Channel errors: {errors}") + raise SystemExit(2) except Exception as exc: print(f"Error: {exc}") raise SystemExit(2) from exc diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 30aaf4c..018a6f2 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -2,14 +2,10 @@ Ingestion pipeline — converts raw data into LangChain Documents and pushes them into the Qdrant vector store. -Supports two sources: - 1. JSON file (existing announcements.json format) - 2. Discord messages (from the discord_fetcher) +Supports one source: + 1. Discord messages (from the discord_fetcher) """ -import json -import os - from langchain_core.documents import Document from qdrant_client.http import models as qdrant_models from qdrant_client.http.exceptions import UnexpectedResponse @@ -42,27 +38,6 @@ def _bootstrap_collection() -> None: get_vector_store.cache_clear() -def _docs_from_json_file(file_path: str) -> list[Document]: - """Load documents from a JSON file with [{title, content, date}, ...].""" - if not os.path.exists(file_path): - raise FileNotFoundError(f"Data file not found: {file_path}") - - with open(file_path, "r") as f: - data = json.load(f) - - docs: list[Document] = [] - for item in data: - content = f"{item['title']}\n{item['content']}" - metadata = { - "source": "json_file", - "file": file_path, - "date": item.get("date", ""), - "title": item["title"], - } - docs.append(Document(page_content=content, metadata=metadata)) - return docs - - def _docs_from_discord_messages( messages: list[dict], channel_id: str, @@ -155,12 +130,6 @@ def ingest_documents(documents: list[Document]) -> int: return len(documents) -def ingest_from_json(file_path: str) -> int: - """Ingest documents from a JSON file.""" - docs = _docs_from_json_file(file_path) - return ingest_documents(docs) - - async def ingest_from_discord(limit_per_channel: int = 200) -> dict: """ Fetch messages from all configured Discord channels and ingest them. diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index ccc410b..4a55d89 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -1,11 +1,8 @@ """Question-answering service built on top of retrieval-augmented generation.""" -import json import re from concurrent.futures import ThreadPoolExecutor, TimeoutError as FutureTimeoutError from datetime import datetime, timezone -from functools import lru_cache -from pathlib import Path from langchain_core.documents import Document from langchain_core.output_parsers import StrOutputParser @@ -72,66 +69,6 @@ def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEO executor.shutdown(wait=False, cancel_futures=True) -@lru_cache(maxsize=1) -def _load_local_announcements_docs() -> list[Document]: - """Load local announcements as a fallback knowledge source.""" - data_path = Path(__file__).resolve().parents[2] / "data" / "announcements.json" - if not data_path.exists(): - raise AskConfigError(f"Fallback data file not found: {data_path}") - - try: - raw = json.loads(data_path.read_text(encoding="utf-8")) - except json.JSONDecodeError as exc: - raise AskConfigError(f"Invalid JSON in fallback data file: {data_path}") from exc - - docs: list[Document] = [] - for item in raw: - if not isinstance(item, dict): - continue - title = str(item.get("title") or "Untitled") - content = str(item.get("content") or "") - date = str(item.get("date") or "unknown") - - docs.append( - Document( - page_content=f"{title}\n{content}".strip(), - metadata={ - "source": "data/announcements.json", - "date": date, - "title": title, - }, - ) - ) - - if not docs: - raise AskConfigError("Fallback data file contains no usable documents.") - - return docs - - -def _tokenize(text: str) -> set[str]: - return set(re.findall(r"[a-z0-9]+", text.lower())) - - -def _fallback_keyword_retrieve(question: str, k: int = 3) -> list[Document]: - """Very small lexical retriever used when vector embeddings are unavailable.""" - docs = _load_local_announcements_docs() - q_tokens = _tokenize(question) - - scored: list[tuple[int, Document]] = [] - for doc in docs: - doc_tokens = _tokenize(doc.page_content) - score = len(q_tokens & doc_tokens) - scored.append((score, doc)) - - scored.sort(key=lambda x: x[0], reverse=True) - top = [doc for score, doc in scored if score > 0][:k] - if top: - return top - - return [doc for _, doc in scored[:k]] - - def _format_llm_error(exc: Exception) -> str: """Convert provider errors into short messages suitable for API/CLI users.""" message = str(exc) @@ -423,11 +360,7 @@ def ask_question(question: str) -> str: vector_store = get_vector_store() retriever = vector_store.as_retriever(search_kwargs={"k": 6}) except ConfigurationError as exc: - # Allow non-Google LLM setups to run using local lexical retrieval. - if "GOOGLE_API_KEY" in str(exc): - retriever = RunnableLambda(lambda q: _fallback_keyword_retrieve(q, k=6)) - else: - raise AskConfigError(str(exc)) from exc + raise AskConfigError(str(exc)) from exc except Exception as exc: message = str(exc) lowered = message.lower() @@ -447,9 +380,10 @@ def ask_question(question: str) -> str: ) ) if is_lock or is_connection: - retriever = RunnableLambda(lambda q: _fallback_keyword_retrieve(q, k=6)) - else: - raise AskConfigError(f"Vector store initialization failed: {message}") from exc + raise AskConfigError( + "Vector store is unavailable. Start Qdrant and ingest Discord data first." + ) from exc + raise AskConfigError(f"Vector store initialization failed: {message}") from exc prompt = build_rag_prompt_template() normalized_question = _normalize_question(question) @@ -476,7 +410,6 @@ def _build_chain(model): raise AskConfigError( "Vector store is not initialized yet. " f"Qdrant collection `{settings.COLLECTION_NAME}` does not exist. " - "Ingest data first (POST /api/v1/ingest with " - '{"path":"data/announcements.json"}).' + "Ingest Discord data first (POST /api/v1/ingest/discord)." ) from exc raise AskError(_format_llm_error(exc)) from exc diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index be17d4b..89be575 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -1,7 +1,6 @@ from types import SimpleNamespace import pytest -from langchain_core.documents import Document from langchain_core.runnables import RunnableLambda from maicro.services import qa_service @@ -225,16 +224,8 @@ def test_ask_question_recency_query_returns_latest_message_when_llm_fails(monkey assert answer == latest_message -def test_ask_question_uses_keyword_fallback_when_qdrant_is_locked(monkeypatch): - fallback_calls = [] - docs = [ - Document( - page_content="Roadmap sync at 3pm", - metadata={"source": "data/announcements.json", "date": "2026-03-10"}, - ) - ] - - monkeypatch.setattr(qa_service, "get_llm", lambda: RunnableLambda(lambda _prompt: "keyword fallback answer")) +def test_ask_question_errors_when_qdrant_is_locked(monkeypatch): + monkeypatch.setattr(qa_service, "get_llm", lambda: RunnableLambda(lambda _prompt: "ignored")) monkeypatch.setattr( qa_service, "get_vector_store", @@ -242,26 +233,11 @@ def test_ask_question_uses_keyword_fallback_when_qdrant_is_locked(monkeypatch): RuntimeError("Storage already accessed by another instance of Qdrant client") ), ) - monkeypatch.setattr( - qa_service, - "_fallback_keyword_retrieve", - lambda question, k=6: fallback_calls.append((question, k)) or docs, - ) - monkeypatch.setattr( - qa_service, - "build_rag_prompt_template", - lambda: RunnableLambda(lambda data: f"{data['question']}\n{data['context']}"), - ) - monkeypatch.setattr( - qa_service, - "_invoke_with_timeout", - lambda chain, question, timeout_seconds=30: chain.invoke(question), - ) - answer = qa_service.ask_question("roadmap sync") + with pytest.raises(qa_service.AskConfigError) as excinfo: + qa_service.ask_question("roadmap sync") - assert answer == "keyword fallback answer" - assert fallback_calls == [("roadmap sync", 6)] + assert "vector store is unavailable" in str(excinfo.value).lower() def test_ask_question_missing_collection_raises_config_error(monkeypatch): From d13fe7822e41e6749d2da34f7df5c549476c5103 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Fri, 13 Mar 2026 16:41:52 +0100 Subject: [PATCH 071/127] feat: update contributing guidelines and README for improved setup instructions --- CONTRIBUTING.md | 44 +++++++++++++++++++++++++++++++++++++++--- README.md | 17 +++++++++++++++- src/maicro/__init__.py | 0 src/maicro/cli.py | 2 -- 4 files changed, 57 insertions(+), 6 deletions(-) delete mode 100644 src/maicro/__init__.py diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index d8d152c..9e09f7b 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -2,14 +2,44 @@ Thanks for your interest in contributing to **mAIcro**. +## Ways to help + +- Report bugs (include steps to reproduce and expected vs actual behavior). +- Suggest features (include the problem you’re trying to solve and constraints). +- Improve docs (typos, examples, setup clarity). +- Send PRs (small, focused changes are easiest to review). + +If you’ve found a security issue, please follow `SECURITY.md` instead of opening a public issue. + ## Development setup -This repo uses `uv` for dependency management. +### Prerequisites + +- Python 3.10+ (CI runs 3.10–3.12) +- `uv` (dependency management + runner) +- Docker (recommended) to run Qdrant locally + +### Install + configure ```bash +cp .env.example .env uv sync --dev ``` +Start Qdrant (required for running the service locally): + +```bash +docker run --rm -p 6333:6333 qdrant/qdrant +``` + +Edit `.env` and set at least: + +- `LLM_PROVIDER=google` +- `GOOGLE_API_KEY=...` +- `QDRANT_URL=http://localhost:6333` + +## Common commands + Run tests: ```bash @@ -22,13 +52,21 @@ Start the API locally: uv run uvicorn maicro.main:app --reload ``` +CLI wrappers (optional): + +```bash +uv run python ask.py "When is the next event?" +uv run python ingest.py --limit 200 +``` + ## Pull requests - Keep PRs focused and small when possible. - Include tests for behavior changes and bug fixes. -- Update `README.md` if you change user-facing behavior. +- Update `README.md` / docs for user-facing changes. +- Don’t commit secrets (keep `.env` local; update `.env.example` if you add a new setting). +- Don’t commit local state directories (for example `var/` or `local_qdrant/`). ## Reporting issues Use GitHub Issues for bugs and feature requests. - diff --git a/README.md b/README.md index 4cba346..1f122a9 100644 --- a/README.md +++ b/README.md @@ -21,6 +21,22 @@ Do not use `pip install -r requirements.txt`. This build is **Gemini-only**: set `LLM_PROVIDER=google` and configure `GOOGLE_API_KEY`. +## Contributing + +Contributions are welcome — bug reports, docs improvements, and pull requests. + +- Start here: `CONTRIBUTING.md` +- Security issues: `SECURITY.md` +- Quick dev loop: + +```bash +cp .env.example .env +docker run --rm -p 6333:6333 qdrant/qdrant +uv sync --dev +uv run pytest +uv run uvicorn maicro.main:app --reload +``` + ## Open-Source Release Checklist To publish this project as true open source: @@ -219,4 +235,3 @@ Future integrations may include: * Web dashboards * APIs for other tools * Knowledge management platforms - diff --git a/src/maicro/__init__.py b/src/maicro/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/src/maicro/cli.py b/src/maicro/cli.py index dc600eb..d206ab1 100644 --- a/src/maicro/cli.py +++ b/src/maicro/cli.py @@ -1,5 +1,3 @@ -"""CLI entrypoints for mAIcro.""" - import argparse import asyncio import sys From 283b179a657d59ccae1605ba14c5fc3ed521edfd Mon Sep 17 00:00:00 2001 From: nisbenz Date: Sat, 14 Mar 2026 20:50:52 +0100 Subject: [PATCH 072/127] feat: Introduce persistent state tracking for Discord message ingestion and enable startup ingestion. --- .gitignore | 4 +++ src/maicro/core/discord_fetcher.py | 10 ++++-- src/maicro/core/ingestion.py | 19 ++++++++++++ src/maicro/core/state.py | 50 ++++++++++++++++++++++++++++++ src/maicro/main.py | 17 ++++++++++ 5 files changed, 98 insertions(+), 2 deletions(-) create mode 100644 src/maicro/core/state.py diff --git a/.gitignore b/.gitignore index 7d0efcb..97796cb 100644 --- a/.gitignore +++ b/.gitignore @@ -206,3 +206,7 @@ cython_debug/ marimo/_static/ marimo/_lsp/ __marimo__/ + +# Qdrant +qdrant_storage/ +*.json \ No newline at end of file diff --git a/src/maicro/core/discord_fetcher.py b/src/maicro/core/discord_fetcher.py index ccf6937..731f1fd 100644 --- a/src/maicro/core/discord_fetcher.py +++ b/src/maicro/core/discord_fetcher.py @@ -18,6 +18,7 @@ async def fetch_channel_messages( bot_token: str, channel_id: str, limit: int = 100, + after: Optional[str] = None, ) -> list[dict]: headers = {"Authorization": f"Bot {bot_token}"} all_messages: list[dict] = [] @@ -27,7 +28,9 @@ async def fetch_channel_messages( while len(all_messages) < limit: batch_size = min(100, limit - len(all_messages)) url = f"{DISCORD_API}/channels/{channel_id}/messages?limit={batch_size}" - if before: + if after: + url += f"&after={after}" + elif before: url += f"&before={before}" async with session.get(url, headers=headers) as resp: @@ -58,8 +61,11 @@ async def fetch_all_channels( bot_token: str, channel_ids: list[str], limit_per_channel: int = 100, + after: Optional[str] = None, ) -> dict[str, list[dict]]: results: dict[str, list[dict]] = {} for cid in channel_ids: - results[cid] = await fetch_channel_messages(bot_token, cid, limit_per_channel) + results[cid] = await fetch_channel_messages( + bot_token, cid, limit_per_channel, after=after + ) return results diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 018a6f2..371c8c8 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -12,6 +12,7 @@ from maicro.core.config import settings from maicro.core.llm_provider import get_embeddings +from maicro.core.state import get_last_ingested_message_id, update_last_ingested_message_id from maicro.core.vector_store import get_qdrant_client, get_vector_store @@ -148,15 +149,33 @@ async def ingest_from_discord(limit_per_channel: int = 200) -> dict: for channel_id in settings.discord_channel_id_list: try: + last_message_id = get_last_ingested_message_id(channel_id) + + + if last_message_id is not None: + summary[channel_id] = 0 + continue + messages = await fetch_channel_messages( bot_token=settings.DISCORD_BOT_TOKEN, channel_id=channel_id, limit=limit_per_channel, ) + + if not messages: + summary[channel_id] = 0 + continue + docs = _docs_from_discord_messages(messages, channel_id) count = ingest_documents(docs) summary[channel_id] = count total += count + + + if messages: + newest_message = messages[0] + update_last_ingested_message_id(channel_id, newest_message["id"]) + except DiscordFetchError as exc: if exc.status_code == 403: errors[channel_id] = ( diff --git a/src/maicro/core/state.py b/src/maicro/core/state.py new file mode 100644 index 0000000..ec1122a --- /dev/null +++ b/src/maicro/core/state.py @@ -0,0 +1,50 @@ +import json +import logging +from pathlib import Path +from typing import Optional + +logger = logging.getLogger(__name__) + +# Default path for the state file +STATE_FILE_PATH = Path("data/ingestion_state.json") + + +def load_state(file_path: Path = STATE_FILE_PATH) -> dict[str, str]: + """Load the ingestion state from a JSON file. Returns an empty dict if the file doesn't exist.""" + if not file_path.exists() or file_path.stat().st_size == 0: + return {} + + try: + with open(file_path, "r", encoding="utf-8") as f: + return json.load(f) + except json.JSONDecodeError: + logger.warning(f"Failed to parse state file at {file_path}. Returning empty state.") + return {} + except Exception as e: + logger.error(f"Error reading state file: {e}") + return {} + + +def save_state(state: dict[str, str], file_path: Path = STATE_FILE_PATH) -> None: + """Save the ingestion state to a JSON file.""" + # Ensure the directory exists + file_path.parent.mkdir(parents=True, exist_ok=True) + + try: + with open(file_path, "w", encoding="utf-8") as f: + json.dump(state, f, indent=4) + except Exception as e: + logger.error(f"Error saving state file: {e}") + + +def get_last_ingested_message_id(channel_id: str, file_path: Path = STATE_FILE_PATH) -> Optional[str]: + """Get the last ingested message ID for a specific channel. Returns None if not found.""" + state = load_state(file_path) + return state.get(channel_id) + + +def update_last_ingested_message_id(channel_id: str, message_id: str, file_path: Path = STATE_FILE_PATH) -> None: + """Update the last ingested message ID for a specific channel.""" + state = load_state(file_path) + state[channel_id] = message_id + save_state(state, file_path) diff --git a/src/maicro/main.py b/src/maicro/main.py index dfbca6a..3c0353f 100644 --- a/src/maicro/main.py +++ b/src/maicro/main.py @@ -1,18 +1,35 @@ """Canonical FastAPI application entrypoint for mAIcro.""" +import asyncio +from contextlib import asynccontextmanager + from fastapi import FastAPI from maicro.api.error_handlers import register_exception_handlers from maicro.api.routes import router from maicro.core.config import settings +from maicro.core.ingestion import ingest_from_discord +from maicro.core.logging import configure_logging from maicro.core.logging import configure_logging configure_logging() +@asynccontextmanager +async def lifespan(app: FastAPI): + + if settings.DISCORD_BOT_TOKEN and settings.discord_channel_id_list: + + asyncio.create_task(ingest_from_discord(limit_per_channel=200)) + + yield + + + app = FastAPI( title=settings.PROJECT_NAME, + lifespan=lifespan, version=settings.VERSION, description=( f"AI knowledge service for {settings.ORG_NAME}. " From ac276e2ae8a19f2cf7277f8ab31138b402ac35fe Mon Sep 17 00:00:00 2001 From: nisbenz Date: Sat, 14 Mar 2026 23:01:24 +0100 Subject: [PATCH 073/127] Fix: fix bootstrap and catch-up ingestion fetch behaviourBootstrap (no prior cursor) now fetches the entire channel historyby passing limit=None, paginating backward with 'before' until Discordreturns nothing.Catch-up (cursor present) now correctly:- Passes after= so Discord returns only strictly newer messages- Advances the 'after' cursor each iteration --- src/maicro/core/discord_fetcher.py | 13 ++++++++----- src/maicro/core/ingestion.py | 15 ++++++++------- 2 files changed, 16 insertions(+), 12 deletions(-) diff --git a/src/maicro/core/discord_fetcher.py b/src/maicro/core/discord_fetcher.py index 731f1fd..0e63396 100644 --- a/src/maicro/core/discord_fetcher.py +++ b/src/maicro/core/discord_fetcher.py @@ -17,7 +17,7 @@ def __init__(self, channel_id: str, status_code: int | None, message: str): async def fetch_channel_messages( bot_token: str, channel_id: str, - limit: int = 100, + limit: Optional[int] = None, after: Optional[str] = None, ) -> list[dict]: headers = {"Authorization": f"Bot {bot_token}"} @@ -25,8 +25,8 @@ async def fetch_channel_messages( before: Optional[str] = None async with aiohttp.ClientSession() as session: - while len(all_messages) < limit: - batch_size = min(100, limit - len(all_messages)) + while limit is None or len(all_messages) < limit: + batch_size = 100 if limit is None else min(100, limit - len(all_messages)) url = f"{DISCORD_API}/channels/{channel_id}/messages?limit={batch_size}" if after: url += f"&after={after}" @@ -49,7 +49,10 @@ async def fetch_channel_messages( break all_messages.extend(batch) - before = batch[-1]["id"] + if after: + after = batch[-1]["id"] # ascending (oldest→newest): advance forward + else: + before = batch[-1]["id"] # descending (bootstrap): go further back if len(batch) < batch_size: break @@ -60,7 +63,7 @@ async def fetch_channel_messages( async def fetch_all_channels( bot_token: str, channel_ids: list[str], - limit_per_channel: int = 100, + limit_per_channel: Optional[int] = None, after: Optional[str] = None, ) -> dict[str, list[dict]]: results: dict[str, list[dict]] = {} diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 371c8c8..303660e 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -151,15 +151,14 @@ async def ingest_from_discord(limit_per_channel: int = 200) -> dict: try: last_message_id = get_last_ingested_message_id(channel_id) - - if last_message_id is not None: - summary[channel_id] = 0 - continue - + # Bootstrap (no cursor): fetch the entire channel history. + # Catch-up (has cursor): fetch all messages strictly newer than the cursor. + # In both cases limit=None — the `after` cursor is the only boundary. messages = await fetch_channel_messages( bot_token=settings.DISCORD_BOT_TOKEN, channel_id=channel_id, - limit=limit_per_channel, + limit=None, + after=last_message_id, ) if not messages: @@ -173,7 +172,9 @@ async def ingest_from_discord(limit_per_channel: int = 200) -> dict: if messages: - newest_message = messages[0] + # Bootstrap (no prior cursor): Discord returns newest-first → messages[0] is newest. + # Catch-up (after was set): Discord returns oldest-first → messages[-1] is newest. + newest_message = messages[-1] if last_message_id else messages[0] update_last_ingested_message_id(channel_id, newest_message["id"]) except DiscordFetchError as exc: From a57dcf305ac26e298d67744ad31d5ef2c6bd12f7 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Sat, 14 Mar 2026 23:08:22 +0100 Subject: [PATCH 074/127] feat: Remove `limit_per_channel` from `ingest_from_discord` and implement cursor-based message fetching. --- src/maicro/core/ingestion.py | 3 +-- tests/unit/test_ingestion.py | 18 ++++++++++++++---- 2 files changed, 15 insertions(+), 6 deletions(-) diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 303660e..538e684 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -11,6 +11,7 @@ from qdrant_client.http.exceptions import UnexpectedResponse from maicro.core.config import settings +from maicro.core.discord_fetcher import DiscordFetchError, fetch_channel_messages from maicro.core.llm_provider import get_embeddings from maicro.core.state import get_last_ingested_message_id, update_last_ingested_message_id from maicro.core.vector_store import get_qdrant_client, get_vector_store @@ -136,8 +137,6 @@ async def ingest_from_discord(limit_per_channel: int = 200) -> dict: Fetch messages from all configured Discord channels and ingest them. Returns a summary dict with per-channel counts. """ - from maicro.core.discord_fetcher import DiscordFetchError, fetch_channel_messages - if not settings.DISCORD_BOT_TOKEN: raise ValueError("DISCORD_BOT_TOKEN not set in environment.") if not settings.discord_channel_id_list: diff --git a/tests/unit/test_ingestion.py b/tests/unit/test_ingestion.py index 0613daa..68f5eb2 100644 --- a/tests/unit/test_ingestion.py +++ b/tests/unit/test_ingestion.py @@ -149,9 +149,19 @@ def test_ingest_from_discord_collects_successes_and_permission_errors(monkeypatc monkeypatch.setattr(ingestion.settings, "DISCORD_BOT_TOKEN", "discord-token") monkeypatch.setattr(ingestion.settings, "DISCORD_CHANNEL_IDS", "denied,open") - async def fake_fetch_channel_messages(bot_token: str, channel_id: str, limit: int = 100): + # Simulate first run: no prior cursor for any channel + monkeypatch.setattr(ingestion, "get_last_ingested_message_id", lambda channel_id: None) + monkeypatch.setattr(ingestion, "update_last_ingested_message_id", lambda channel_id, msg_id: None) + + async def fake_fetch_channel_messages( + bot_token: str, + channel_id: str, + limit=None, + after=None, + ): assert bot_token == "discord-token" - assert limit == 25 + assert limit is None # bootstrap always passes limit=None now + assert after is None # no cursor on first run if channel_id == "denied": raise DiscordFetchError(channel_id=channel_id, status_code=403, message="forbidden") return [ @@ -163,10 +173,10 @@ async def fake_fetch_channel_messages(bot_token: str, channel_id: str, limit: in } ] - monkeypatch.setattr("maicro.core.discord_fetcher.fetch_channel_messages", fake_fetch_channel_messages) + monkeypatch.setattr(ingestion, "fetch_channel_messages", fake_fetch_channel_messages) monkeypatch.setattr(ingestion, "ingest_documents", lambda docs: len(docs)) - result = asyncio.run(ingestion.ingest_from_discord(limit_per_channel=25)) + result = asyncio.run(ingestion.ingest_from_discord()) assert result["channels"] == {"open": 1} assert "Missing access to channel" in result["errors"]["denied"] From 6ee776bb18f03775b25689a97bdca391142dcdc2 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Sun, 15 Mar 2026 02:54:42 +0100 Subject: [PATCH 075/127] feat: Add Discord listening functionality with a new module, main entry point, tests, and updated dependencies. --- pyproject.toml | 2 +- src/maicro/core/discord_listener.py | 113 +++++++++++++++++++++ src/maicro/main.py | 16 ++- tests/unit/test_discord_listener.py | 152 ++++++++++++++++++++++++++++ uv.lock | 73 ++++++++++++- 5 files changed, 348 insertions(+), 8 deletions(-) create mode 100644 src/maicro/core/discord_listener.py create mode 100644 tests/unit/test_discord_listener.py diff --git a/pyproject.toml b/pyproject.toml index 772ce5b..a38aded 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,7 +24,7 @@ classifiers = [ "Programming Language :: Python :: 3.13", ] dependencies = [ - "aiohttp>=3.13.3", + "discord-py>=2.4.0", "fastapi>=0.115.0", "google-generativeai>=0.8.6", "langchain>=1.2.10", diff --git a/src/maicro/core/discord_listener.py b/src/maicro/core/discord_listener.py new file mode 100644 index 0000000..91995de --- /dev/null +++ b/src/maicro/core/discord_listener.py @@ -0,0 +1,113 @@ +""" +Discord Gateway listener — real-time ingestion via discord.py. +Uses discord.Client to connect to the Discord Gateway. +""" + +from __future__ import annotations + +import asyncio +import logging + +from maicro.core.ingestion import _docs_from_discord_messages, ingest_documents +from maicro.core.state import update_last_ingested_message_id + +logger = logging.getLogger(__name__) + + + +async def handle_message_create(message: dict, channel_ids: set[str]) -> None: + """ + Process a single MESSAGE_CREATE payload (as a plain dict). + + Ingests the message if it belongs to a watched channel. + Exposed at module level so unit tests can call it directly without + needing a real discord.Client. + """ + channel_id = message.get("channel_id", "") + if channel_id not in channel_ids: + return + + docs = _docs_from_discord_messages([message], channel_id) + if not docs: + return + + + count = await asyncio.to_thread(ingest_documents, docs) + if count: + update_last_ingested_message_id(channel_id, message["id"]) + logger.info("[listener] ingested %d doc(s) from channel %s", count, channel_id) + + + +def _message_to_dict(msg) -> dict: + + return { + "id": str(msg.id), + "channel_id": str(msg.channel.id), + "content": msg.content, + "author": {"username": msg.author.name}, + "timestamp": msg.created_at.isoformat(), + "embeds": [ + { + "title": e.title or "", + "description": e.description or "", + } + for e in msg.embeds + ], + } + + + + +async def run_discord_listener(bot_token: str, channel_ids: list[str]) -> None: + """ + Connect to Discord via discord.py and listen for new messages forever. + """ + if not bot_token: + logger.error("[listener] DISCORD_BOT_TOKEN is not set — listener will not start") + return + if not channel_ids: + logger.error("[listener] No channel IDs configured — listener will not start") + return + + try: + import discord + except ImportError: + logger.error( + "[listener] discord.py is not installed. " + "Add 'discord.py>=2.4.0' to your dependencies and reinstall." + ) + return + + watched: set[str] = set(channel_ids) + + intents = discord.Intents(guild_messages=True, message_content=True) + client = discord.Client(intents=intents) + + @client.event + async def on_ready() -> None: + logger.info( + "[listener] READY — logged in as %s (id=%s)", client.user, client.user.id + ) + + @client.event + async def on_message(msg: discord.Message) -> None: + if msg.author.bot: + return + channel_id = str(msg.channel.id) + logger.debug( + "[listener] MESSAGE_CREATE channel=%s content=%r", + channel_id, + (msg.content or "")[:80], + ) + await handle_message_create(_message_to_dict(msg), watched) + + try: + await client.start(bot_token) + except discord.LoginFailure: + logger.error( + "[listener] Invalid Discord bot token (LoginFailure) — listener will not restart" + ) + except Exception as exc: + logger.error("[listener] Unexpected error in Discord listener: %s", exc) + raise diff --git a/src/maicro/main.py b/src/maicro/main.py index 3c0353f..afea4d3 100644 --- a/src/maicro/main.py +++ b/src/maicro/main.py @@ -8,9 +8,9 @@ from maicro.api.error_handlers import register_exception_handlers from maicro.api.routes import router from maicro.core.config import settings +from maicro.core.discord_listener import run_discord_listener from maicro.core.ingestion import ingest_from_discord from maicro.core.logging import configure_logging -from maicro.core.logging import configure_logging configure_logging() @@ -18,12 +18,18 @@ @asynccontextmanager async def lifespan(app: FastAPI): - if settings.DISCORD_BOT_TOKEN and settings.discord_channel_id_list: - + # Phase 1 — init / catch-up: fetch all messages missed since last run asyncio.create_task(ingest_from_discord(limit_per_channel=200)) - - yield + # Phase 2 — real-time: listen for new messages via Discord Gateway + asyncio.create_task( + run_discord_listener( + bot_token=settings.DISCORD_BOT_TOKEN, + channel_ids=settings.discord_channel_id_list, + ) + ) + + yield diff --git a/tests/unit/test_discord_listener.py b/tests/unit/test_discord_listener.py new file mode 100644 index 0000000..dba9f7b --- /dev/null +++ b/tests/unit/test_discord_listener.py @@ -0,0 +1,152 @@ +""" +Unit tests for discord_listener.handle_message_create. + +We test the dict-based handler in isolation — no real Discord connection or +Qdrant needed. The discord.py import only happens inside run_discord_listener(), +so these tests work without discord.py installed. +""" + +import asyncio +from unittest.mock import MagicMock, patch + +import pytest + +from maicro.core import discord_listener + + +# --------------------------------------------------------------------------- +# Fixtures +# --------------------------------------------------------------------------- + +WATCHED = {"111111111111111111", "222222222222222222"} + +VALID_MESSAGE = { + "id": "999", + "channel_id": "111111111111111111", + "content": "New sprint kick-off tomorrow at 10am", + "author": {"username": "alice"}, + "timestamp": "2026-03-15T09:00:00+00:00", + "embeds": [], +} + + +# --------------------------------------------------------------------------- +# handle_message_create — channel filtering +# --------------------------------------------------------------------------- + +def test_handle_message_create_ignores_wrong_channel(monkeypatch): + """Messages in unwatched channels must not trigger ingestion.""" + called = [] + monkeypatch.setattr(discord_listener, "ingest_documents", lambda docs: called.append(docs) or 0) + + asyncio.run( + discord_listener.handle_message_create( + {**VALID_MESSAGE, "channel_id": "999999999999999999"}, + WATCHED, + ) + ) + + assert called == [], "ingest_documents should not be called for unwatched channels" + + +def test_handle_message_create_ingests_and_updates_state(monkeypatch): + """Valid message in a watched channel must be ingested and state updated.""" + ingested = [] + state_updates = [] + + monkeypatch.setattr( + discord_listener, + "ingest_documents", + lambda docs: ingested.extend(docs) or len(docs), + ) + monkeypatch.setattr( + discord_listener, + "update_last_ingested_message_id", + lambda channel_id, msg_id: state_updates.append((channel_id, msg_id)), + ) + + asyncio.run(discord_listener.handle_message_create(VALID_MESSAGE, WATCHED)) + + assert len(ingested) == 1 + assert ingested[0].page_content == "[alice] New sprint kick-off tomorrow at 10am" + assert state_updates == [("111111111111111111", "999")] + + +def test_handle_message_create_skips_blank_content(monkeypatch): + """Empty message content must not produce any documents or state updates.""" + ingested = [] + state_updates = [] + + monkeypatch.setattr( + discord_listener, + "ingest_documents", + lambda docs: ingested.extend(docs) or len(docs), + ) + monkeypatch.setattr( + discord_listener, + "update_last_ingested_message_id", + lambda channel_id, msg_id: state_updates.append((channel_id, msg_id)), + ) + + asyncio.run( + discord_listener.handle_message_create( + {**VALID_MESSAGE, "content": " "}, + WATCHED, + ) + ) + + assert ingested == [] + assert state_updates == [] + + +# --------------------------------------------------------------------------- +# _message_to_dict — shape contract +# --------------------------------------------------------------------------- + +def test_message_to_dict_produces_expected_shape(): + """_message_to_dict must produce the same dict shape as the REST API returns.""" + from datetime import datetime, timezone + + # Build a minimal fake discord.Message-like object using MagicMock + embed = MagicMock() + embed.title = "Agenda" + embed.description = "Sprint review" + + msg = MagicMock() + msg.id = 123456789 + msg.channel.id = 111111111111111111 + msg.content = "Hello world" + msg.author.name = "bob" + msg.created_at = datetime(2026, 3, 15, 9, 0, 0, tzinfo=timezone.utc) + msg.embeds = [embed] + + result = discord_listener._message_to_dict(msg) + + assert result == { + "id": "123456789", + "channel_id": "111111111111111111", + "content": "Hello world", + "author": {"username": "bob"}, + "timestamp": "2026-03-15T09:00:00+00:00", + "embeds": [{"title": "Agenda", "description": "Sprint review"}], + } + + +# --------------------------------------------------------------------------- +# run_discord_listener — guard clauses +# --------------------------------------------------------------------------- + +def test_run_discord_listener_returns_early_without_token(caplog): + """Missing token must log an error and return without connecting.""" + import logging + with caplog.at_level(logging.ERROR, logger="maicro.core.discord_listener"): + asyncio.run(discord_listener.run_discord_listener("", ["111"])) + assert any("DISCORD_BOT_TOKEN" in r.message for r in caplog.records) + + +def test_run_discord_listener_returns_early_without_channels(caplog): + """Missing channel list must log an error and return without connecting.""" + import logging + with caplog.at_level(logging.ERROR, logger="maicro.core.discord_listener"): + asyncio.run(discord_listener.run_discord_listener("some-token", [])) + assert any("No channel IDs" in r.message for r in caplog.records) diff --git a/uv.lock b/uv.lock index 65d4e40..96a5dd5 100644 --- a/uv.lock +++ b/uv.lock @@ -201,6 +201,62 @@ wheels = [ { url = 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03:18:07 +0100 Subject: [PATCH 076/127] feat: Implement Discord message ingestion with a real-time listener and initial catch-up via a new main application entry point. --- .env.example | 2 +- src/maicro/core/discord_listener.py | 41 +++++++++++++++++++++++------ src/maicro/main.py | 2 +- 3 files changed, 35 insertions(+), 10 deletions(-) diff --git a/.env.example b/.env.example index 3c3805f..426caf9 100644 --- a/.env.example +++ b/.env.example @@ -1,6 +1,6 @@ LLM_PROVIDER=google DISCORD_BOT_TOKEN= -DISCORD_CHANNEL_IDS= +DISCORD_CHANNEL_IDS=123456789,987654321 GOOGLE_API_KEY= QDRANT_URL=http://localhost:6333 QDRANT_API_KEY= diff --git a/src/maicro/core/discord_listener.py b/src/maicro/core/discord_listener.py index 91995de..31aa8ba 100644 --- a/src/maicro/core/discord_listener.py +++ b/src/maicro/core/discord_listener.py @@ -81,7 +81,7 @@ async def run_discord_listener(bot_token: str, channel_ids: list[str]) -> None: watched: set[str] = set(channel_ids) - intents = discord.Intents(guild_messages=True, message_content=True) + intents = discord.Intents(guilds=True, guild_messages=True, message_content=True) client = discord.Client(intents=intents) @client.event @@ -102,12 +102,37 @@ async def on_message(msg: discord.Message) -> None: ) await handle_message_create(_message_to_dict(msg), watched) - try: - await client.start(bot_token) - except discord.LoginFailure: + + MAX_RETRIES = 10 + BASE_DELAY = 5.0 # seconds + MAX_DELAY = 60.0 # seconds + + for attempt in range(1, MAX_RETRIES + 1): + try: + await client.start(bot_token) + break # clean exit (shouldn't normally happen) + except discord.LoginFailure: + logger.error( + "[listener] Invalid Discord bot token (LoginFailure) — will not retry" + ) + return + except Exception as exc: + delay = min(BASE_DELAY * 2 ** (attempt - 1), MAX_DELAY) + logger.warning( + "[listener] Disconnected (attempt %d/%d): %s. Retrying in %.0fs…", + attempt, MAX_RETRIES, exc, delay, + ) + # Close the old client before reconnecting + try: + await client.close() + except Exception: + pass + await asyncio.sleep(delay) + # Re-create the client for a clean reconnect + client = discord.Client(intents=intents) + client.event(on_ready) + client.event(on_message) + else: logger.error( - "[listener] Invalid Discord bot token (LoginFailure) — listener will not restart" + "[listener] Exhausted %d reconnect attempts — giving up.", MAX_RETRIES ) - except Exception as exc: - logger.error("[listener] Unexpected error in Discord listener: %s", exc) - raise diff --git a/src/maicro/main.py b/src/maicro/main.py index afea4d3..03abbcd 100644 --- a/src/maicro/main.py +++ b/src/maicro/main.py @@ -20,7 +20,7 @@ async def lifespan(app: FastAPI): if settings.DISCORD_BOT_TOKEN and settings.discord_channel_id_list: # Phase 1 — init / catch-up: fetch all messages missed since last run - asyncio.create_task(ingest_from_discord(limit_per_channel=200)) + asyncio.create_task(ingest_from_discord(limit_per_channel=None)) # Phase 2 — real-time: listen for new messages via Discord Gateway asyncio.create_task( run_discord_listener( From d3c5463bb53813d684d75269098e1785cca4e2b3 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Sun, 15 Mar 2026 03:48:47 +0100 Subject: [PATCH 077/127] fix: run ask_question in thread executor to unblock event loop Replaced the direct blocking call to ask_question() in the /ask route with asyncio.get_running_loop().run_in_executor(), preventing the Discord gateway heartbeat from being starved during LLM inference. --- src/maicro/api/routes.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/maicro/api/routes.py b/src/maicro/api/routes.py index 6f3126d..3a5fe02 100644 --- a/src/maicro/api/routes.py +++ b/src/maicro/api/routes.py @@ -2,6 +2,8 @@ mAIcro REST API routes. """ +import asyncio + from fastapi import APIRouter, HTTPException from maicro.api.schemas import AskRequest, AskResponse, IngestResponse @@ -32,7 +34,8 @@ async def ask(req: AskRequest): if not req.question.strip(): raise HTTPException(status_code=400, detail="Question cannot be empty.") - answer = ask_question(req.question) + loop = asyncio.get_running_loop() + answer = await loop.run_in_executor(None, ask_question, req.question) return AskResponse(question=req.question, answer=answer) From 154aadf82d43abc2863971c9a219d68f72a62e33 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Sun, 15 Mar 2026 21:00:06 +0100 Subject: [PATCH 078/127] feat: add message delete/edit handlers to Discord listener - Add handle_message_delete and handle_message_update functions - Import delete_message_from_store and update_message_in_store - Register on_raw_message_delete and on_raw_message_edit Discord events - Sync Qdrant store when messages are edited or deleted --- src/maicro/core/audit.py | 262 ++++++++++++++++++++++++++++ src/maicro/core/discord_listener.py | 97 +++++++++- src/maicro/core/ingestion.py | 70 ++++++++ src/maicro/core/logging.py | 11 -- src/maicro/main.py | 21 ++- 5 files changed, 439 insertions(+), 22 deletions(-) create mode 100644 src/maicro/core/audit.py delete mode 100644 src/maicro/core/logging.py diff --git a/src/maicro/core/audit.py b/src/maicro/core/audit.py new file mode 100644 index 0000000..1c97e89 --- /dev/null +++ b/src/maicro/core/audit.py @@ -0,0 +1,262 @@ +""" +Audit module — handles startup reconciliation of offline edits and deletes. + +This module provides the `run_startup_audit()` function which: + 1. Fetches recent messages from Discord per channel + 2. Compares with Qdrant vector store contents + 3. Removes stale points (deleted while offline) + 4. Updates changed points (edited while offline) + +This separates audit concerns from the core ingestion pipeline. +""" + + +from maicro.core.config import settings +from maicro.core.discord_fetcher import fetch_channel_messages +import logging + +logger = logging.getLogger(__name__) + + +DISCORD_API = "https://discord.com/api/v10" + + +async def _check_message_exists_in_discord( + bot_token: str, + channel_id: str, + message_id: str, +) -> bool: + """ + Check if a specific message still exists in Discord. + Returns True if the message exists, False if it was deleted (404). + Returns None on error or rate limit (to skip verification). + """ + import aiohttp + + headers = {"Authorization": f"Bot {bot_token}"} + url = f"{DISCORD_API}/channels/{channel_id}/messages/{message_id}" + + try: + async with aiohttp.ClientSession() as session: + async with session.get(url, headers=headers) as resp: + if resp.status == 200: + return True + elif resp.status == 404: + return False + elif resp.status == 429: + logger.warning( + "[audit] Rate limited when checking message %s in channel %s - skipping verification", + message_id, channel_id, + ) + return None + else: + logger.warning( + "[audit] Unexpected status %s checking message %s in channel %s", + resp.status, message_id, channel_id, + ) + return True + except Exception as e: + logger.warning( + "[audit] Error checking message %s in channel %s: %s", + message_id, channel_id, e, + ) + return True + + +async def run_startup_audit( + channel_ids: list[str], + window: int = 1000, +) -> dict: + """ + For each channel: + 1. Fetch the last `window` messages from Discord REST. + 2. Scroll Qdrant for points whose message_id appears in that window. + 3. For each Qdrant point: + - Message no longer on Discord → deleted while offline → remove point. + - Message content changed → edited while offline → delete + re-ingest. + 4. No action for unchanged messages. + + """ + from qdrant_client.http import models as qdrant_models + + # Lazy imports to avoid circular dependency + from maicro.core.ingestion import ( + _bootstrap_collection, + _docs_from_discord_messages, + delete_message_from_store, + update_message_in_store, + get_qdrant_client, + ) + + if not settings.DISCORD_BOT_TOKEN or not channel_ids: + return {} + + summary: dict[str, dict] = {} + + for channel_id in channel_ids: + deleted = 0 + updated = 0 + errors_list: list[str] = [] + + try: + # Step 1 — fetch recent Discord messages (newest-first, no after cursor) + recent: list[dict] = await fetch_channel_messages( + bot_token=settings.DISCORD_BOT_TOKEN, + channel_id=channel_id, + limit=window, + ) + + discord_index: dict[str, str] = {} + for msg in recent: + docs = _docs_from_discord_messages([msg], channel_id) + msg_id_str = str(msg["id"]) + discord_index[msg_id_str] = docs[0].page_content if docs else "" + if not discord_index: + summary[channel_id] = {"deleted": 0, "updated": 0} + continue + + + try: + _bootstrap_collection() + except Exception as e: + logger.warning(f"[audit] Failed to bootstrap collection: {e}") + + client = get_qdrant_client() + + total_count_result = client.count( + collection_name=settings.COLLECTION_NAME, + count_filter=qdrant_models.Filter( + must=[ + qdrant_models.FieldCondition( + key="metadata.channel_id", + match=qdrant_models.MatchValue(value=channel_id), + ), + ] + ), + exact=True, + ) + logger.info( + "[audit] Channel %s has %d total points in Qdrant, discord_index has %d message IDs", + channel_id, total_count_result.count, len(discord_index), + ) + + discord_index_sample = list(discord_index.keys())[:5] + + + # Scroll ALL points in this channel (no filter on message_id) + all_points_filter = qdrant_models.Filter( + must=[ + qdrant_models.FieldCondition( + key="metadata.channel_id", + match=qdrant_models.MatchValue(value=channel_id), + ), + ], + ) + + offset = None + while True: + scroll_result = client.scroll( + collection_name=settings.COLLECTION_NAME, + scroll_filter=all_points_filter, + limit=100, + offset=offset, + with_payload=True, + with_vectors=False, + ) + points, next_offset = scroll_result + + for point in points: + payload = point.payload or {} + meta = payload.get("metadata", {}) + msg_id: str = meta.get("message_id", "") + stored_content: str = (payload.get("page_content") or "").strip() + + # Skip points without message_id + if not msg_id: + continue + + # Ensure we're using string for comparison + msg_id_str = str(msg_id) + + # Debug: Log what we're comparing + logger.debug( + "[audit] Checking msg_id=%s (type=%s) - in discord_index=%s", + msg_id_str, type(msg_id), msg_id_str in discord_index, + ) + + # Case 1: message_id NOT in discord_index → message was deleted while offline + if msg_id_str not in discord_index: + n = delete_message_from_store(channel_id, msg_id_str) + deleted += n + if n: + logger.info( + "[audit] deleted message_id=%s from channel %s (was deleted offline)", + msg_id_str, channel_id, + ) + else: + # Message not in discord_index but also not found in Qdrant to delete + # This could happen if the message was already deleted previously + logger.debug( + "[audit] message_id=%s not in discord_index but no Qdrant points to delete", + msg_id_str, + ) + continue + + # Log that we verified this message exists in both Discord and Qdrant + logger.debug( + "[audit] Verified message_id=%s exists in both Discord and Qdrant", + msg_id_str, + ) + + # Case 1b: Even if message_id IS in discord_index, verify it still exists + # This handles edge cases where Discord's batch API might return deleted messages + # or messages that were soft-deleted + exists = await _check_message_exists_in_discord( + bot_token=settings.DISCORD_BOT_TOKEN, + channel_id=channel_id, + message_id=msg_id_str, + ) + if not exists: + n = delete_message_from_store(channel_id, msg_id_str) + deleted += n + if n: + logger.info( + "[audit] deleted message_id=%s from channel %s (verified deleted via API)", + msg_id_str, channel_id, + ) + continue + + # Case 2: message_id IS in discord_index but content changed → edited while offline + current_content = discord_index.get(msg_id_str, "") + if stored_content != current_content: + msg_dict = next( + (m for m in recent if str(m["id"]) == msg_id_str), None + ) + if msg_dict: + update_message_in_store(msg_dict, channel_id) + updated += 1 + logger.info( + "[audit] updated message_id=%s in channel %s (edited offline)", + msg_id_str, channel_id, + ) + + if next_offset is None: + break + offset = next_offset + + logger.info( + "[audit] Channel %s audit complete: deleted=%d, updated=%d", + channel_id, deleted, updated, + ) + + except Exception as exc: + logger.warning("[audit] Unexpected error for channel %s: %s", channel_id, exc) + errors_list.append(str(exc)) + + summary[channel_id] = {"deleted": deleted, "updated": updated, "errors": errors_list} + logger.info( + "[audit] channel=%s deleted=%d updated=%d", + channel_id, deleted, updated, + ) + + return summary \ No newline at end of file diff --git a/src/maicro/core/discord_listener.py b/src/maicro/core/discord_listener.py index 31aa8ba..d9c75a7 100644 --- a/src/maicro/core/discord_listener.py +++ b/src/maicro/core/discord_listener.py @@ -8,7 +8,12 @@ import asyncio import logging -from maicro.core.ingestion import _docs_from_discord_messages, ingest_documents +from maicro.core.ingestion import ( + _docs_from_discord_messages, + delete_message_from_store, + ingest_documents, + update_message_in_store, +) from maicro.core.state import update_last_ingested_message_id logger = logging.getLogger(__name__) @@ -19,9 +24,6 @@ async def handle_message_create(message: dict, channel_ids: set[str]) -> None: """ Process a single MESSAGE_CREATE payload (as a plain dict). - Ingests the message if it belongs to a watched channel. - Exposed at module level so unit tests can call it directly without - needing a real discord.Client. """ channel_id = message.get("channel_id", "") if channel_id not in channel_ids: @@ -37,6 +39,53 @@ async def handle_message_create(message: dict, channel_ids: set[str]) -> None: update_last_ingested_message_id(channel_id, message["id"]) logger.info("[listener] ingested %d doc(s) from channel %s", count, channel_id) +async def handle_message_delete(payload: dict, channel_ids: set[str]) -> None: + """ + Process a MESSAGE_DELETE payload (plain dict). + + Expected keys: channel_id, id (message_id). + Deletes the corresponding Qdrant point(s) if the channel is watched. + Exposed at module level so unit tests can call it without a real Discord client. + """ + channel_id = payload.get("channel_id", "") + if channel_id not in channel_ids: + return + + message_id = payload.get("id", "") + if not message_id: + return + + n = await asyncio.to_thread(delete_message_from_store, channel_id, message_id) + logger.info( + "[listener] deleted %d point(s) for message_id=%s channel=%s", + n, message_id, channel_id, + ) + + +async def handle_message_update(payload: dict, channel_ids: set[str]) -> None: + """ + Process a MESSAGE_UPDATE payload (plain dict). + + Expected keys: channel_id, id, content (plus optional author / embeds). + Deletes the old Qdrant point(s) and re-ingests with the new content. + Exposed at module level for unit-test access. + """ + channel_id = payload.get("channel_id", "") + if channel_id not in channel_ids: + return + + count = await asyncio.to_thread(update_message_in_store, payload, channel_id) + if count: + logger.info( + "[listener] updated message_id=%s in channel %s (%d doc(s))", + payload.get("id"), channel_id, count, + ) + else: + logger.debug( + "[listener] MESSAGE_UPDATE for message_id=%s had no indexable content — old point(s) removed", + payload.get("id"), + ) + def _message_to_dict(msg) -> dict: @@ -102,10 +151,42 @@ async def on_message(msg: discord.Message) -> None: ) await handle_message_create(_message_to_dict(msg), watched) - + @client.event + async def on_raw_message_delete(payload: discord.RawMessageDeleteEvent) -> None: + channel_id = str(payload.channel_id) + message_id = str(payload.message_id) + logger.debug( + "[listener] MESSAGE_DELETE channel=%s message_id=%s", channel_id, message_id + ) + await handle_message_delete( + {"channel_id": channel_id, "id": message_id}, watched + ) + + @client.event + async def on_raw_message_edit(payload: discord.RawMessageUpdateEvent) -> None: + data: dict = payload.data + channel_id = str(payload.channel_id) + message_id = str(payload.message_id) + logger.debug( + "[listener] MESSAGE_UPDATE channel=%s message_id=%s", channel_id, message_id + ) + # Build a normalised dict compatible with handle_message_update. + msg_dict = { + "id": message_id, + "channel_id": channel_id, + "content": data.get("content", ""), + "author": data.get("author", {"username": "unknown"}), + "timestamp": data.get("edited_timestamp") or data.get("timestamp", ""), + "embeds": [ + {"title": e.get("title", ""), "description": e.get("description", "")} + for e in data.get("embeds", []) + ], + } + await handle_message_update(msg_dict, watched) + MAX_RETRIES = 10 - BASE_DELAY = 5.0 # seconds - MAX_DELAY = 60.0 # seconds + BASE_DELAY = 5.0 + MAX_DELAY = 60.0 for attempt in range(1, MAX_RETRIES + 1): try: @@ -132,6 +213,8 @@ async def on_message(msg: discord.Message) -> None: client = discord.Client(intents=intents) client.event(on_ready) client.event(on_message) + client.event(on_raw_message_delete) + client.event(on_raw_message_edit) else: logger.error( "[listener] Exhausted %d reconnect attempts — giving up.", MAX_RETRIES diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 538e684..7d1bc1e 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -4,8 +4,12 @@ Supports one source: 1. Discord messages (from the discord_fetcher) + +For startup audit (offline edit/delete reconciliation), see `maicro.core.audit`. """ +import logging + from langchain_core.documents import Document from qdrant_client.http import models as qdrant_models from qdrant_client.http.exceptions import UnexpectedResponse @@ -16,6 +20,13 @@ from maicro.core.state import get_last_ingested_message_id, update_last_ingested_message_id from maicro.core.vector_store import get_qdrant_client, get_vector_store +# Re-export run_startup_audit for backward compatibility +from maicro.core.audit import run_startup_audit + +__all__ = ["ingest_documents", "ingest_from_discord", "run_startup_audit"] + +logger = logging.getLogger(__name__) + # --------------------------------------------------------------------------- # Document converters @@ -132,6 +143,65 @@ def ingest_documents(documents: list[Document]) -> int: return len(documents) +# --------------------------------------------------------------------------- +# Delete / update helpers +# --------------------------------------------------------------------------- + +def _filter_by_message(channel_id: str, message_id: str) -> qdrant_models.Filter: + """Build a Qdrant payload filter matching a specific (channel_id, message_id) pair.""" + return qdrant_models.Filter( + must=[ + qdrant_models.FieldCondition( + key="metadata.channel_id", + match=qdrant_models.MatchValue(value=channel_id), + ), + qdrant_models.FieldCondition( + key="metadata.message_id", + match=qdrant_models.MatchValue(value=message_id), + ), + ] + ) + + +def delete_message_from_store(channel_id: str, message_id: str) -> int: + """ + Remove all Qdrant points whose payload matches (channel_id, message_id). + Returns the number of points deleted (0 if none existed). + """ + client = get_qdrant_client() + # Count first so we can report how many were removed. + count_result = client.count( + collection_name=settings.COLLECTION_NAME, + count_filter=_filter_by_message(channel_id, message_id), + exact=True, + ) + n = count_result.count + if n: + client.delete( + collection_name=settings.COLLECTION_NAME, + points_selector=qdrant_models.FilterSelector( + filter=_filter_by_message(channel_id, message_id) + ), + ) + logger.debug( + "[ingestion] deleted %d point(s) for message_id=%s channel=%s", + n, message_id, channel_id, + ) + return n + + +def update_message_in_store(message: dict, channel_id: str) -> int: + """ + Update a message in the vector store: + """ + message_id = message.get("id", "") + delete_message_from_store(channel_id, message_id) + docs = _docs_from_discord_messages([message], channel_id) + if not docs: + return 0 + return ingest_documents(docs) + + async def ingest_from_discord(limit_per_channel: int = 200) -> dict: """ Fetch messages from all configured Discord channels and ingest them. diff --git a/src/maicro/core/logging.py b/src/maicro/core/logging.py deleted file mode 100644 index ddc999a..0000000 --- a/src/maicro/core/logging.py +++ /dev/null @@ -1,11 +0,0 @@ -"""Application logging configuration.""" - -import logging - - -def configure_logging() -> None: - """Configure a simple, consistent log format for the service.""" - logging.basicConfig( - level=logging.INFO, - format="%(asctime)s | %(levelname)s | %(name)s | %(message)s", - ) diff --git a/src/maicro/main.py b/src/maicro/main.py index 03abbcd..95ad39c 100644 --- a/src/maicro/main.py +++ b/src/maicro/main.py @@ -9,17 +9,30 @@ from maicro.api.routes import router from maicro.core.config import settings from maicro.core.discord_listener import run_discord_listener -from maicro.core.ingestion import ingest_from_discord -from maicro.core.logging import configure_logging +from maicro.core.ingestion import ingest_from_discord, run_startup_audit +import logging +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s | %(levelname)s | %(name)s | %(message)s", +) -configure_logging() +logger = logging.getLogger(__name__) @asynccontextmanager async def lifespan(app: FastAPI): if settings.DISCORD_BOT_TOKEN and settings.discord_channel_id_list: - # Phase 1 — init / catch-up: fetch all messages missed since last run + audit_task = asyncio.create_task( + run_startup_audit(settings.discord_channel_id_list, window=200) + ) + try: + audit_summary = await audit_task + logger.info("[startup] Audit completed: %s", audit_summary) + except Exception as exc: + logger.error("[startup] Audit failed: %s", exc) + + # Phase 1 — catch-up: fetch all messages missed since last run asyncio.create_task(ingest_from_discord(limit_per_channel=None)) # Phase 2 — real-time: listen for new messages via Discord Gateway asyncio.create_task( From 41dcdce01fce8a269f692df98648895c49006a99 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Mon, 16 Mar 2026 00:04:39 +0100 Subject: [PATCH 079/127] refactor(audit): use cursor-based auditing instead of full window scan - Get last ingested message ID from state to use as cursor - Only audit messages before the cursor - Skip audit entirely for new channels without a cursor --- .gitignore | 1 - data/ingestion_state.json | 3 + src/maicro/core/audit.py | 224 ++++++++++++++-------------- src/maicro/core/discord_fetcher.py | 26 +++- src/maicro/core/discord_listener.py | 57 ++++++- src/maicro/core/ingestion.py | 73 ++++++++- src/maicro/core/state.py | 14 +- 7 files changed, 280 insertions(+), 118 deletions(-) create mode 100644 data/ingestion_state.json diff --git a/.gitignore b/.gitignore index 97796cb..c7b1880 100644 --- a/.gitignore +++ b/.gitignore @@ -209,4 +209,3 @@ __marimo__/ # Qdrant qdrant_storage/ -*.json \ No newline at end of file diff --git a/data/ingestion_state.json b/data/ingestion_state.json new file mode 100644 index 0000000..52d7ba5 --- /dev/null +++ b/data/ingestion_state.json @@ -0,0 +1,3 @@ +{ + "1482559510265467050": "1482874867786318005" +} \ No newline at end of file diff --git a/src/maicro/core/audit.py b/src/maicro/core/audit.py index 1c97e89..fa024aa 100644 --- a/src/maicro/core/audit.py +++ b/src/maicro/core/audit.py @@ -1,18 +1,11 @@ """ Audit module — handles startup reconciliation of offline edits and deletes. - -This module provides the `run_startup_audit()` function which: - 1. Fetches recent messages from Discord per channel - 2. Compares with Qdrant vector store contents - 3. Removes stale points (deleted while offline) - 4. Updates changed points (edited while offline) - -This separates audit concerns from the core ingestion pipeline. """ from maicro.core.config import settings -from maicro.core.discord_fetcher import fetch_channel_messages +from maicro.core.discord_fetcher import fetch_channel_messages, fetch_message_by_id +from maicro.core.state import get_last_ingested_message_id, ensure_channel_in_state, update_last_ingested_message_id import logging logger = logging.getLogger(__name__) @@ -21,62 +14,13 @@ DISCORD_API = "https://discord.com/api/v10" -async def _check_message_exists_in_discord( - bot_token: str, - channel_id: str, - message_id: str, -) -> bool: - """ - Check if a specific message still exists in Discord. - Returns True if the message exists, False if it was deleted (404). - Returns None on error or rate limit (to skip verification). - """ - import aiohttp - - headers = {"Authorization": f"Bot {bot_token}"} - url = f"{DISCORD_API}/channels/{channel_id}/messages/{message_id}" - - try: - async with aiohttp.ClientSession() as session: - async with session.get(url, headers=headers) as resp: - if resp.status == 200: - return True - elif resp.status == 404: - return False - elif resp.status == 429: - logger.warning( - "[audit] Rate limited when checking message %s in channel %s - skipping verification", - message_id, channel_id, - ) - return None - else: - logger.warning( - "[audit] Unexpected status %s checking message %s in channel %s", - resp.status, message_id, channel_id, - ) - return True - except Exception as e: - logger.warning( - "[audit] Error checking message %s in channel %s: %s", - message_id, channel_id, e, - ) - return True - - async def run_startup_audit( channel_ids: list[str], window: int = 1000, ) -> dict: - """ - For each channel: - 1. Fetch the last `window` messages from Discord REST. - 2. Scroll Qdrant for points whose message_id appears in that window. - 3. For each Qdrant point: - - Message no longer on Discord → deleted while offline → remove point. - - Message content changed → edited while offline → delete + re-ingest. - 4. No action for unchanged messages. + + - """ from qdrant_client.http import models as qdrant_models # Lazy imports to avoid circular dependency @@ -94,35 +38,131 @@ async def run_startup_audit( summary: dict[str, dict] = {} for channel_id in channel_ids: + # Ensure channel exists in state before auditing + ensure_channel_in_state(channel_id) + deleted = 0 updated = 0 errors_list: list[str] = [] try: - # Step 1 — fetch recent Discord messages (newest-first, no after cursor) + # Step 1 — get cursor from state (last ingested message ID) + last_message_id = get_last_ingested_message_id(channel_id) + + # Skip audit for new channels (no cursor or empty cursor = nothing to check) + if not last_message_id: + logger.info( + "[audit] Channel %s: no cursor found or channel never ingested, skipping audit", + channel_id, + ) + summary[channel_id] = {"deleted": 0, "updated": 0, "skipped": "new_channel"} + continue + + # First, check if the cursor message still exists in Discord (it might have been deleted) + cursor_msg = await fetch_message_by_id( + bot_token=settings.DISCORD_BOT_TOKEN, + channel_id=channel_id, + message_id=last_message_id, + ) + + # If cursor message was deleted, we need to find a new cursor + if cursor_msg is None: + logger.info( + "[audit] Channel %s: cursor message %s was deleted, searching for new cursor", + channel_id, last_message_id, + ) + # Fetch the most recent message to use as new cursor + recent_messages: list[dict] = await fetch_channel_messages( + bot_token=settings.DISCORD_BOT_TOKEN, + channel_id=channel_id, + limit=1, + ) + if recent_messages: + new_cursor = recent_messages[0]["id"] + logger.info( + "[audit] Channel %s: updating cursor from %s to %s", + channel_id, last_message_id, new_cursor, + ) + update_last_ingested_message_id(channel_id, new_cursor) + last_message_id = new_cursor + cursor_msg = recent_messages[0] + else: + # No messages in channel at all + logger.warning( + "[audit] Channel %s: no messages found in channel at all", + channel_id, + ) + summary[channel_id] = {"deleted": 0, "updated": 0, "skipped": "channel_empty"} + continue + + # Check if cursor message was edited - get stored content from Qdrant + cursor_id_str = str(cursor_msg["id"]) + + # Get the stored content for cursor from Qdrant + cursor_stored_content = "" + try: + client = get_qdrant_client() + search_result = client.scroll( + collection_name=settings.COLLECTION_NAME, + scroll_filter=qdrant_models.Filter( + must=[ + qdrant_models.FieldCondition( + key="metadata.message_id", + match=qdrant_models.MatchValue(value=cursor_id_str), + ), + ] + ), + limit=1, + with_payload=True, + with_vectors=False, + ) + cursor_points, _ = search_result + if cursor_points: + cursor_stored_content = (cursor_points[0].payload.get("page_content") or "").strip() + except Exception as e: + logger.warning(f"[audit] Failed to get cursor content from Qdrant: {e}") + + cursor_docs = _docs_from_discord_messages([cursor_msg], channel_id) + cursor_content = cursor_docs[0].page_content if cursor_docs else "" + + # If cursor was edited, update it immediately + if cursor_stored_content and cursor_content != cursor_stored_content: + logger.info( + "[audit] Cursor message %s was edited, updating in Qdrant", + cursor_id_str, + ) + update_message_in_store(cursor_msg, channel_id) + updated += 1 + + # Now fetch messages before the cursor for audit recent: list[dict] = await fetch_channel_messages( bot_token=settings.DISCORD_BOT_TOKEN, channel_id=channel_id, - limit=window, + limit=window, # limit to avoid excessive API calls + before=last_message_id, ) discord_index: dict[str, str] = {} + # Add cursor message to discord_index for editing check + cursor_id_str = str(cursor_msg["id"]) + discord_index[cursor_id_str] = cursor_content + for msg in recent: docs = _docs_from_discord_messages([msg], channel_id) msg_id_str = str(msg["id"]) discord_index[msg_id_str] = docs[0].page_content if docs else "" if not discord_index: - summary[channel_id] = {"deleted": 0, "updated": 0} + logger.info( + "[audit] Channel %s: no messages before cursor to audit", + channel_id, + ) + summary[channel_id] = {"deleted": 0, "updated": 0, "skipped": "no_messages_before_cursor"} continue - - try: _bootstrap_collection() except Exception as e: logger.warning(f"[audit] Failed to bootstrap collection: {e}") - client = get_qdrant_client() - total_count_result = client.count( collection_name=settings.COLLECTION_NAME, count_filter=qdrant_models.Filter( @@ -136,14 +176,10 @@ async def run_startup_audit( exact=True, ) logger.info( - "[audit] Channel %s has %d total points in Qdrant, discord_index has %d message IDs", + "[audit] Channel %s: checking %d Qdrant points against %d messages before cursor", channel_id, total_count_result.count, len(discord_index), ) - discord_index_sample = list(discord_index.keys())[:5] - - - # Scroll ALL points in this channel (no filter on message_id) all_points_filter = qdrant_models.Filter( must=[ qdrant_models.FieldCondition( @@ -152,7 +188,6 @@ async def run_startup_audit( ), ], ) - offset = None while True: scroll_result = client.scroll( @@ -164,27 +199,18 @@ async def run_startup_audit( with_vectors=False, ) points, next_offset = scroll_result - for point in points: payload = point.payload or {} meta = payload.get("metadata", {}) msg_id: str = meta.get("message_id", "") stored_content: str = (payload.get("page_content") or "").strip() - - # Skip points without message_id if not msg_id: continue - - # Ensure we're using string for comparison msg_id_str = str(msg_id) - - # Debug: Log what we're comparing logger.debug( "[audit] Checking msg_id=%s (type=%s) - in discord_index=%s", msg_id_str, type(msg_id), msg_id_str in discord_index, ) - - # Case 1: message_id NOT in discord_index → message was deleted while offline if msg_id_str not in discord_index: n = delete_message_from_store(channel_id, msg_id_str) deleted += n @@ -194,44 +220,24 @@ async def run_startup_audit( msg_id_str, channel_id, ) else: - # Message not in discord_index but also not found in Qdrant to delete - # This could happen if the message was already deleted previously + logger.debug( "[audit] message_id=%s not in discord_index but no Qdrant points to delete", msg_id_str, ) continue - - # Log that we verified this message exists in both Discord and Qdrant logger.debug( "[audit] Verified message_id=%s exists in both Discord and Qdrant", msg_id_str, ) - - # Case 1b: Even if message_id IS in discord_index, verify it still exists - # This handles edge cases where Discord's batch API might return deleted messages - # or messages that were soft-deleted - exists = await _check_message_exists_in_discord( - bot_token=settings.DISCORD_BOT_TOKEN, - channel_id=channel_id, - message_id=msg_id_str, - ) - if not exists: - n = delete_message_from_store(channel_id, msg_id_str) - deleted += n - if n: - logger.info( - "[audit] deleted message_id=%s from channel %s (verified deleted via API)", - msg_id_str, channel_id, - ) - continue - - # Case 2: message_id IS in discord_index but content changed → edited while offline current_content = discord_index.get(msg_id_str, "") if stored_content != current_content: - msg_dict = next( - (m for m in recent if str(m["id"]) == msg_id_str), None - ) + if msg_id_str == cursor_id_str: + msg_dict = cursor_msg + else: + msg_dict = next( + (m for m in recent if str(m["id"]) == msg_id_str), None + ) if msg_dict: update_message_in_store(msg_dict, channel_id) updated += 1 diff --git a/src/maicro/core/discord_fetcher.py b/src/maicro/core/discord_fetcher.py index 0e63396..85aca7a 100644 --- a/src/maicro/core/discord_fetcher.py +++ b/src/maicro/core/discord_fetcher.py @@ -19,10 +19,10 @@ async def fetch_channel_messages( channel_id: str, limit: Optional[int] = None, after: Optional[str] = None, + before: Optional[str] = None, ) -> list[dict]: headers = {"Authorization": f"Bot {bot_token}"} all_messages: list[dict] = [] - before: Optional[str] = None async with aiohttp.ClientSession() as session: while limit is None or len(all_messages) < limit: @@ -60,6 +60,30 @@ async def fetch_channel_messages( return all_messages +async def fetch_message_by_id( + bot_token: str, + channel_id: str, + message_id: str, +) -> Optional[dict]: + """Fetch a single message by its ID. Returns None if not found (deleted).""" + headers = {"Authorization": f"Bot {bot_token}"} + url = f"{DISCORD_API}/channels/{channel_id}/messages/{message_id}" + + async with aiohttp.ClientSession() as session: + async with session.get(url, headers=headers) as resp: + if resp.status == 404: + # Message not found - it was deleted + return None + if resp.status != 200: + body = await resp.text() + raise DiscordFetchError( + channel_id=channel_id, + status_code=resp.status, + message=f"Discord API error {resp.status} for message {message_id}: {body}", + ) + return await resp.json() + + async def fetch_all_channels( bot_token: str, channel_ids: list[str], diff --git a/src/maicro/core/discord_listener.py b/src/maicro/core/discord_listener.py index d9c75a7..4da0b08 100644 --- a/src/maicro/core/discord_listener.py +++ b/src/maicro/core/discord_listener.py @@ -209,12 +209,59 @@ async def on_raw_message_edit(payload: discord.RawMessageUpdateEvent) -> None: except Exception: pass await asyncio.sleep(delay) - # Re-create the client for a clean reconnect + # Re-create the client for a clean reconnect and re-register all events client = discord.Client(intents=intents) - client.event(on_ready) - client.event(on_message) - client.event(on_raw_message_delete) - client.event(on_raw_message_edit) + + @client.event + async def on_ready() -> None: + logger.info( + "[listener] READY — logged in as %s (id=%s)", client.user, client.user.id + ) + + @client.event + async def on_message(msg: discord.Message) -> None: + if msg.author.bot: + return + channel_id = str(msg.channel.id) + logger.debug( + "[listener] MESSAGE_CREATE channel=%s content=%r", + channel_id, + (msg.content or "")[:80], + ) + await handle_message_create(_message_to_dict(msg), watched) + + @client.event + async def on_raw_message_delete(payload: discord.RawMessageDeleteEvent) -> None: + channel_id = str(payload.channel_id) + message_id = str(payload.message_id) + logger.debug( + "[listener] MESSAGE_DELETE channel=%s message_id=%s", channel_id, message_id + ) + await handle_message_delete( + {"channel_id": channel_id, "id": message_id}, watched + ) + + @client.event + async def on_raw_message_edit(payload: discord.RawMessageUpdateEvent) -> None: + data: dict = payload.data + channel_id = str(payload.channel_id) + message_id = str(payload.message_id) + logger.debug( + "[listener] MESSAGE_UPDATE channel=%s message_id=%s", channel_id, message_id + ) + # Build a normalised dict compatible with handle_message_update. + msg_dict = { + "id": message_id, + "channel_id": channel_id, + "content": data.get("content", ""), + "author": data.get("author", {"username": "unknown"}), + "timestamp": data.get("edited_timestamp") or data.get("timestamp", ""), + "embeds": [ + {"title": e.get("title", ""), "description": e.get("description", "")} + for e in data.get("embeds", []) + ], + } + await handle_message_update(msg_dict, watched) else: logger.error( "[listener] Exhausted %d reconnect attempts — giving up.", MAX_RETRIES diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 7d1bc1e..973626a 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -108,14 +108,25 @@ def _ensure_collection_exists(vector_size: int) -> None: ) -def ingest_documents(documents: list[Document]) -> int: +def ingest_documents(documents: list[Document], filter_duplicates: bool = True) -> int: """ Push a list of LangChain Documents into the Qdrant vector store. Returns the number of documents ingested. + + Args: + documents: List of LangChain Documents to ingest. + filter_duplicates: If True, skip documents that already exist based on message_id. """ if not documents: return 0 + # Filter out duplicates if enabled + if filter_duplicates: + documents, duplicate_count = _filter_duplicate_documents(documents) + if not documents: + logger.debug("[ingestion] All documents were duplicates, nothing to ingest") + return 0 + try: vector_store = get_vector_store() vector_store.add_documents(documents) @@ -163,6 +174,66 @@ def _filter_by_message(channel_id: str, message_id: str) -> qdrant_models.Filter ) +def _check_duplicate_message_ids(documents: list[Document]) -> set[str]: + """ + Check which message IDs already exist in the vector store. + Returns a set of message IDs that are already present. + """ + client = get_qdrant_client() + existing_ids: set[str] = set() + + # Group documents by channel_id for efficient querying + channel_msg_ids: dict[str, list[str]] = {} + for doc in documents: + channel_id = doc.metadata.get("channel_id", "") + message_id = doc.metadata.get("message_id", "") + if channel_id and message_id: + if channel_id not in channel_msg_ids: + channel_msg_ids[channel_id] = [] + channel_msg_ids[channel_id].append(message_id) + + # Check each channel for existing message IDs + for channel_id, message_ids in channel_msg_ids.items(): + for msg_id in message_ids: + count_result = client.count( + collection_name=settings.COLLECTION_NAME, + count_filter=_filter_by_message(channel_id, msg_id), + exact=True, + ) + if count_result.count > 0: + existing_ids.add(msg_id) + + return existing_ids + + +def _filter_duplicate_documents(documents: list[Document]) -> tuple[list[Document], int]: + """ + Filter out documents that already exist in the vector store based on message_id. + Returns a tuple of (filtered_documents, duplicate_count). + """ + if not documents: + return documents, 0 + + existing_ids = _check_duplicate_message_ids(documents) + if not existing_ids: + return documents, 0 + + filtered = [] + duplicate_count = 0 + for doc in documents: + msg_id = doc.metadata.get("message_id", "") + if msg_id in existing_ids: + duplicate_count += 1 + logger.debug("[ingestion] Skipping duplicate message_id=%s", msg_id) + else: + filtered.append(doc) + + if duplicate_count > 0: + logger.info("[ingestion] Filtered %d duplicate message(s)", duplicate_count) + + return filtered, duplicate_count + + def delete_message_from_store(channel_id: str, message_id: str) -> int: """ Remove all Qdrant points whose payload matches (channel_id, message_id). diff --git a/src/maicro/core/state.py b/src/maicro/core/state.py index ec1122a..7fd9f09 100644 --- a/src/maicro/core/state.py +++ b/src/maicro/core/state.py @@ -40,7 +40,19 @@ def save_state(state: dict[str, str], file_path: Path = STATE_FILE_PATH) -> None def get_last_ingested_message_id(channel_id: str, file_path: Path = STATE_FILE_PATH) -> Optional[str]: """Get the last ingested message ID for a specific channel. Returns None if not found.""" state = load_state(file_path) - return state.get(channel_id) + result = state.get(channel_id) + if result is None: + logger.debug(f"[state] No last message ID found for channel {channel_id}, channel may be new or never ingested") + return result + + +def ensure_channel_in_state(channel_id: str, file_path: Path = STATE_FILE_PATH) -> None: + """Ensure a channel exists in the state file. Creates an entry if missing.""" + state = load_state(file_path) + if channel_id not in state: + logger.info(f"[state] Initializing new channel {channel_id} in state file") + state[channel_id] = "" # Empty string indicates channel seen but no messages ingested yet + save_state(state, file_path) def update_last_ingested_message_id(channel_id: str, message_id: str, file_path: Path = STATE_FILE_PATH) -> None: From 61ba85bf382b10fd5985c49820951c8bc2489e39 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 16 Mar 2026 14:06:03 +0100 Subject: [PATCH 080/127] chore: remove unused agent_engine and embeddings modules --- src/maicro/core/agent_engine.py | 4 ---- src/maicro/core/embeddings.py | 4 ---- 2 files changed, 8 deletions(-) delete mode 100644 src/maicro/core/agent_engine.py delete mode 100644 src/maicro/core/embeddings.py diff --git a/src/maicro/core/agent_engine.py b/src/maicro/core/agent_engine.py deleted file mode 100644 index 0faa483..0000000 --- a/src/maicro/core/agent_engine.py +++ /dev/null @@ -1,4 +0,0 @@ -# agent_engine.py -# Agentic logic for advanced actions - -# ...implementation placeholder... diff --git a/src/maicro/core/embeddings.py b/src/maicro/core/embeddings.py deleted file mode 100644 index f10ec1c..0000000 --- a/src/maicro/core/embeddings.py +++ /dev/null @@ -1,4 +0,0 @@ -# embeddings.py -# Embedding generation and management - -# ...implementation placeholder... From 2dfb87cc4177a32a270dd4dd71d66447b1cb8e5b Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Mon, 16 Mar 2026 14:11:29 +0100 Subject: [PATCH 081/127] refactor: drop unused DISCORD_API constant and dead debug line in audit.py --- main.py | 1 - src/maicro/api/routes.py | 4 ---- src/maicro/core/audit.py | 25 ++++--------------------- src/maicro/core/config.py | 3 --- src/maicro/core/discord_listener.py | 5 ++--- src/maicro/core/ingestion.py | 21 --------------------- src/maicro/core/state.py | 4 +--- src/maicro/main.py | 3 --- 8 files changed, 7 insertions(+), 59 deletions(-) diff --git a/main.py b/main.py index b851aaf..9c224ea 100644 --- a/main.py +++ b/main.py @@ -11,5 +11,4 @@ if __name__ == "__main__": import uvicorn - # Keep historical root-level startup working for existing docs/scripts. uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True) diff --git a/src/maicro/api/routes.py b/src/maicro/api/routes.py index 3a5fe02..8013f39 100644 --- a/src/maicro/api/routes.py +++ b/src/maicro/api/routes.py @@ -13,10 +13,6 @@ router = APIRouter(prefix=settings.API_V1_STR) -# --------------------------------------------------------------------------- -# Endpoints -# --------------------------------------------------------------------------- - @router.get("/health") async def health(): return { diff --git a/src/maicro/core/audit.py b/src/maicro/core/audit.py index fa024aa..8abe9cd 100644 --- a/src/maicro/core/audit.py +++ b/src/maicro/core/audit.py @@ -11,19 +11,14 @@ logger = logging.getLogger(__name__) -DISCORD_API = "https://discord.com/api/v10" - - async def run_startup_audit( channel_ids: list[str], window: int = 1000, ) -> dict: - from qdrant_client.http import models as qdrant_models - # Lazy imports to avoid circular dependency from maicro.core.ingestion import ( _bootstrap_collection, _docs_from_discord_messages, @@ -38,18 +33,15 @@ async def run_startup_audit( summary: dict[str, dict] = {} for channel_id in channel_ids: - # Ensure channel exists in state before auditing ensure_channel_in_state(channel_id) - + deleted = 0 updated = 0 errors_list: list[str] = [] try: - # Step 1 — get cursor from state (last ingested message ID) last_message_id = get_last_ingested_message_id(channel_id) - # Skip audit for new channels (no cursor or empty cursor = nothing to check) if not last_message_id: logger.info( "[audit] Channel %s: no cursor found or channel never ingested, skipping audit", @@ -58,20 +50,17 @@ async def run_startup_audit( summary[channel_id] = {"deleted": 0, "updated": 0, "skipped": "new_channel"} continue - # First, check if the cursor message still exists in Discord (it might have been deleted) cursor_msg = await fetch_message_by_id( bot_token=settings.DISCORD_BOT_TOKEN, channel_id=channel_id, message_id=last_message_id, ) - - # If cursor message was deleted, we need to find a new cursor + if cursor_msg is None: logger.info( "[audit] Channel %s: cursor message %s was deleted, searching for new cursor", channel_id, last_message_id, ) - # Fetch the most recent message to use as new cursor recent_messages: list[dict] = await fetch_channel_messages( bot_token=settings.DISCORD_BOT_TOKEN, channel_id=channel_id, @@ -87,7 +76,6 @@ async def run_startup_audit( last_message_id = new_cursor cursor_msg = recent_messages[0] else: - # No messages in channel at all logger.warning( "[audit] Channel %s: no messages found in channel at all", channel_id, @@ -124,8 +112,7 @@ async def run_startup_audit( cursor_docs = _docs_from_discord_messages([cursor_msg], channel_id) cursor_content = cursor_docs[0].page_content if cursor_docs else "" - - # If cursor was edited, update it immediately + if cursor_stored_content and cursor_content != cursor_stored_content: logger.info( "[audit] Cursor message %s was edited, updating in Qdrant", @@ -134,16 +121,14 @@ async def run_startup_audit( update_message_in_store(cursor_msg, channel_id) updated += 1 - # Now fetch messages before the cursor for audit recent: list[dict] = await fetch_channel_messages( bot_token=settings.DISCORD_BOT_TOKEN, channel_id=channel_id, - limit=window, # limit to avoid excessive API calls + limit=window, before=last_message_id, ) discord_index: dict[str, str] = {} - # Add cursor message to discord_index for editing check cursor_id_str = str(cursor_msg["id"]) discord_index[cursor_id_str] = cursor_content @@ -179,7 +164,6 @@ async def run_startup_audit( "[audit] Channel %s: checking %d Qdrant points against %d messages before cursor", channel_id, total_count_result.count, len(discord_index), ) - discord_index_sample = list(discord_index.keys())[:5] all_points_filter = qdrant_models.Filter( must=[ qdrant_models.FieldCondition( @@ -220,7 +204,6 @@ async def run_startup_audit( msg_id_str, channel_id, ) else: - logger.debug( "[audit] message_id=%s not in discord_index but no Qdrant points to delete", msg_id_str, diff --git a/src/maicro/core/config.py b/src/maicro/core/config.py index 7dc10cb..510bbeb 100644 --- a/src/maicro/core/config.py +++ b/src/maicro/core/config.py @@ -10,17 +10,14 @@ class Settings(BaseSettings): ORG_DESCRIPTION: Optional[str] = "A generic organization using mAIcro" CORE_RULES: Optional[List[str]] = None - # AI Settings LLM_PROVIDER: str = "google" GOOGLE_API_KEY: Optional[str] = None MODEL_NAME: Optional[str] = None GOOGLE_MODEL_NAME: str = "gemini-2.5-flash" - # Discord ingestion DISCORD_BOT_TOKEN: Optional[str] = None DISCORD_CHANNEL_IDS: Optional[str] = None - # Vector Store QDRANT_URL: str = "http://localhost:6333" QDRANT_API_KEY: Optional[str] = None COLLECTION_NAME: str = "microclub_knowledge" diff --git a/src/maicro/core/discord_listener.py b/src/maicro/core/discord_listener.py index 4da0b08..9dfeb77 100644 --- a/src/maicro/core/discord_listener.py +++ b/src/maicro/core/discord_listener.py @@ -170,7 +170,6 @@ async def on_raw_message_edit(payload: discord.RawMessageUpdateEvent) -> None: logger.debug( "[listener] MESSAGE_UPDATE channel=%s message_id=%s", channel_id, message_id ) - # Build a normalised dict compatible with handle_message_update. msg_dict = { "id": message_id, "channel_id": channel_id, @@ -185,8 +184,8 @@ async def on_raw_message_edit(payload: discord.RawMessageUpdateEvent) -> None: await handle_message_update(msg_dict, watched) MAX_RETRIES = 10 - BASE_DELAY = 5.0 - MAX_DELAY = 60.0 + BASE_DELAY = 5.0 + MAX_DELAY = 60.0 for attempt in range(1, MAX_RETRIES + 1): try: diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 973626a..25f8f5e 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -28,9 +28,6 @@ logger = logging.getLogger(__name__) -# --------------------------------------------------------------------------- -# Document converters -# --------------------------------------------------------------------------- def _is_missing_collection_error(message: str) -> bool: """Return True when an exception message indicates the Qdrant collection is missing.""" @@ -69,10 +66,8 @@ def _docs_from_discord_messages( author_name = author.get("username", "unknown") timestamp = msg.get("timestamp", "") - # Build a readable page_content page_content = f"[{author_name}] {content}" - # Attach embeds text if present for embed in msg.get("embeds", []): if embed.get("title"): page_content += f"\n{embed['title']}" @@ -91,9 +86,6 @@ def _docs_from_discord_messages( return docs -# --------------------------------------------------------------------------- -# Ingestion entry points -# --------------------------------------------------------------------------- def _ensure_collection_exists(vector_size: int) -> None: """Create local collection if missing, without relying on cached vector store.""" @@ -120,7 +112,6 @@ def ingest_documents(documents: list[Document], filter_duplicates: bool = True) if not documents: return 0 - # Filter out duplicates if enabled if filter_duplicates: documents, duplicate_count = _filter_duplicate_documents(documents) if not documents: @@ -154,9 +145,6 @@ def ingest_documents(documents: list[Document], filter_duplicates: bool = True) return len(documents) -# --------------------------------------------------------------------------- -# Delete / update helpers -# --------------------------------------------------------------------------- def _filter_by_message(channel_id: str, message_id: str) -> qdrant_models.Filter: """Build a Qdrant payload filter matching a specific (channel_id, message_id) pair.""" @@ -182,7 +170,6 @@ def _check_duplicate_message_ids(documents: list[Document]) -> set[str]: client = get_qdrant_client() existing_ids: set[str] = set() - # Group documents by channel_id for efficient querying channel_msg_ids: dict[str, list[str]] = {} for doc in documents: channel_id = doc.metadata.get("channel_id", "") @@ -192,7 +179,6 @@ def _check_duplicate_message_ids(documents: list[Document]) -> set[str]: channel_msg_ids[channel_id] = [] channel_msg_ids[channel_id].append(message_id) - # Check each channel for existing message IDs for channel_id, message_ids in channel_msg_ids.items(): for msg_id in message_ids: count_result = client.count( @@ -240,7 +226,6 @@ def delete_message_from_store(channel_id: str, message_id: str) -> int: Returns the number of points deleted (0 if none existed). """ client = get_qdrant_client() - # Count first so we can report how many were removed. count_result = client.count( collection_name=settings.COLLECTION_NAME, count_filter=_filter_by_message(channel_id, message_id), @@ -290,10 +275,6 @@ async def ingest_from_discord(limit_per_channel: int = 200) -> dict: for channel_id in settings.discord_channel_id_list: try: last_message_id = get_last_ingested_message_id(channel_id) - - # Bootstrap (no cursor): fetch the entire channel history. - # Catch-up (has cursor): fetch all messages strictly newer than the cursor. - # In both cases limit=None — the `after` cursor is the only boundary. messages = await fetch_channel_messages( bot_token=settings.DISCORD_BOT_TOKEN, channel_id=channel_id, @@ -312,8 +293,6 @@ async def ingest_from_discord(limit_per_channel: int = 200) -> dict: if messages: - # Bootstrap (no prior cursor): Discord returns newest-first → messages[0] is newest. - # Catch-up (after was set): Discord returns oldest-first → messages[-1] is newest. newest_message = messages[-1] if last_message_id else messages[0] update_last_ingested_message_id(channel_id, newest_message["id"]) diff --git a/src/maicro/core/state.py b/src/maicro/core/state.py index 7fd9f09..84b839f 100644 --- a/src/maicro/core/state.py +++ b/src/maicro/core/state.py @@ -5,7 +5,6 @@ logger = logging.getLogger(__name__) -# Default path for the state file STATE_FILE_PATH = Path("data/ingestion_state.json") @@ -27,9 +26,8 @@ def load_state(file_path: Path = STATE_FILE_PATH) -> dict[str, str]: def save_state(state: dict[str, str], file_path: Path = STATE_FILE_PATH) -> None: """Save the ingestion state to a JSON file.""" - # Ensure the directory exists file_path.parent.mkdir(parents=True, exist_ok=True) - + try: with open(file_path, "w", encoding="utf-8") as f: json.dump(state, f, indent=4) diff --git a/src/maicro/main.py b/src/maicro/main.py index 95ad39c..094a425 100644 --- a/src/maicro/main.py +++ b/src/maicro/main.py @@ -32,9 +32,7 @@ async def lifespan(app: FastAPI): except Exception as exc: logger.error("[startup] Audit failed: %s", exc) - # Phase 1 — catch-up: fetch all messages missed since last run asyncio.create_task(ingest_from_discord(limit_per_channel=None)) - # Phase 2 — real-time: listen for new messages via Discord Gateway asyncio.create_task( run_discord_listener( bot_token=settings.DISCORD_BOT_TOKEN, @@ -43,7 +41,6 @@ async def lifespan(app: FastAPI): ) yield - app = FastAPI( From 593052ecfe113797ca6526a3b5dace282b27236f Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 15:20:41 +0100 Subject: [PATCH 082/127] feat(ingestion): handle missing Qdrant collection exceptions and improve error handling --- data/ingestion_state.json | 3 +- ingest.py | 2 -- main.py | 2 -- src/maicro/core/ingestion.py | 39 +++++++++++++++------ tests/unit/test_ingestion.py | 68 ++++++++++++++++++++++++++++++++++++ 5 files changed, 99 insertions(+), 15 deletions(-) diff --git a/data/ingestion_state.json b/data/ingestion_state.json index 52d7ba5..a4deb80 100644 --- a/data/ingestion_state.json +++ b/data/ingestion_state.json @@ -1,3 +1,4 @@ { - "1482559510265467050": "1482874867786318005" + "1482559510265467050": "1482874867786318005", + "1397366538524164118": "" } \ No newline at end of file diff --git a/ingest.py b/ingest.py index 53d5b04..20aaad5 100644 --- a/ingest.py +++ b/ingest.py @@ -1,5 +1,3 @@ -"""Compatibility wrapper for `python ingest.py` in a src-layout project.""" - from pathlib import Path import sys diff --git a/main.py b/main.py index 9c224ea..0918112 100644 --- a/main.py +++ b/main.py @@ -1,5 +1,3 @@ -"""Compatibility wrapper for the canonical entrypoint in maicro.main.""" - from pathlib import Path import sys diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 25f8f5e..5d82c37 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -40,6 +40,15 @@ def _is_missing_collection_error(message: str) -> bool: return any(needle in lowered for needle in ("doesn't exist", "does not exist", "not found")) +def _is_missing_collection_exception(exc: Exception) -> bool: + """Return True when an exception indicates the Qdrant collection is missing.""" + if isinstance(exc, UnexpectedResponse): + if exc.status_code != 404: + return False + return _is_missing_collection_error(exc.content.decode("utf-8", errors="ignore")) + return _is_missing_collection_error(str(exc)) + + def _bootstrap_collection() -> None: """Create the Qdrant collection (if missing) and clear vector-store cache.""" embedding = get_embeddings() @@ -181,11 +190,16 @@ def _check_duplicate_message_ids(documents: list[Document]) -> set[str]: for channel_id, message_ids in channel_msg_ids.items(): for msg_id in message_ids: - count_result = client.count( - collection_name=settings.COLLECTION_NAME, - count_filter=_filter_by_message(channel_id, msg_id), - exact=True, - ) + try: + count_result = client.count( + collection_name=settings.COLLECTION_NAME, + count_filter=_filter_by_message(channel_id, msg_id), + exact=True, + ) + except Exception as exc: + if _is_missing_collection_exception(exc): + return set() + raise if count_result.count > 0: existing_ids.add(msg_id) @@ -226,11 +240,16 @@ def delete_message_from_store(channel_id: str, message_id: str) -> int: Returns the number of points deleted (0 if none existed). """ client = get_qdrant_client() - count_result = client.count( - collection_name=settings.COLLECTION_NAME, - count_filter=_filter_by_message(channel_id, message_id), - exact=True, - ) + try: + count_result = client.count( + collection_name=settings.COLLECTION_NAME, + count_filter=_filter_by_message(channel_id, message_id), + exact=True, + ) + except Exception as exc: + if _is_missing_collection_exception(exc): + return 0 + raise n = count_result.count if n: client.delete( diff --git a/tests/unit/test_ingestion.py b/tests/unit/test_ingestion.py index 68f5eb2..8d018d8 100644 --- a/tests/unit/test_ingestion.py +++ b/tests/unit/test_ingestion.py @@ -145,6 +145,74 @@ def cache_clear(self): assert working_store.added == documents +def test_ingest_documents_ignores_missing_collection_during_duplicate_check(monkeypatch): + documents = [ + Document( + page_content="Release planning", + metadata={"source": "discord", "channel_id": "chan-1", "message_id": "m1"}, + ) + ] + bootstrapped = {} + + class FakeClient: + def count(self, **_kwargs): + raise UnexpectedResponse( + status_code=404, + reason_phrase="Not Found", + content=b'{"status":{"error":"Not found: Collection `microclub_knowledge` doesn\\\'t exist!"}}', + headers=httpx.Headers(), + ) + + class BrokenVectorStore: + def add_documents(self, _documents): + raise RuntimeError("Collection microclub_knowledge not found") + + class WorkingVectorStore: + def __init__(self): + self.added = [] + + def add_documents(self, new_documents): + self.added.extend(new_documents) + + working_store = WorkingVectorStore() + + class VectorStoreGetter: + def __init__(self): + self.calls = 0 + self.cache_clears = 0 + + def __call__(self): + self.calls += 1 + if self.calls == 1: + return BrokenVectorStore() + return working_store + + def cache_clear(self): + self.cache_clears += 1 + + getter = VectorStoreGetter() + + monkeypatch.setattr(ingestion, "get_qdrant_client", lambda: FakeClient()) + monkeypatch.setattr(ingestion, "get_vector_store", getter) + monkeypatch.setattr( + ingestion, + "get_embeddings", + lambda: SimpleNamespace(embed_query=lambda _query: [0.1, 0.2, 0.3, 0.4]), + ) + monkeypatch.setattr( + ingestion, + "_ensure_collection_exists", + lambda vector_size: bootstrapped.setdefault("vector_size", vector_size), + ) + + count = ingestion.ingest_documents(documents) + + assert count == 1 + assert bootstrapped["vector_size"] == 4 + assert getter.cache_clears == 1 + assert working_store.added == documents + + def test_ingest_from_discord_collects_successes_and_permission_errors(monkeypatch): monkeypatch.setattr(ingestion.settings, "DISCORD_BOT_TOKEN", "discord-token") monkeypatch.setattr(ingestion.settings, "DISCORD_CHANNEL_IDS", "denied,open") From 0428219fcb754c06709c4b0bb19108b7624e1788 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 15:32:54 +0100 Subject: [PATCH 083/127] feat: Prioritize Qdrant setup in README and `.env.example` configuration, and update ingestion state. --- .env.example | 7 +++++-- README.md | 11 +++++------ data/ingestion_state.json | 2 +- 3 files changed, 11 insertions(+), 9 deletions(-) diff --git a/.env.example b/.env.example index 426caf9..e9d6851 100644 --- a/.env.example +++ b/.env.example @@ -2,5 +2,8 @@ LLM_PROVIDER=google DISCORD_BOT_TOKEN= DISCORD_CHANNEL_IDS=123456789,987654321 GOOGLE_API_KEY= -QDRANT_URL=http://localhost:6333 -QDRANT_API_KEY= + +# Qdrant Cloud (free 1GB tier): https://cloud.qdrant.io +# For local dev with Docker: QDRANT_URL=http://localhost:6333 (no API key needed) +QDRANT_URL=https://your-cluster.cloud.qdrant.io:6333 +QDRANT_API_KEY=your-qdrant-cloud-api-key diff --git a/README.md b/README.md index 1f122a9..1ea47ca 100644 --- a/README.md +++ b/README.md @@ -4,13 +4,11 @@ This project uses `uv` as the single dependency manager. -Start a Qdrant server (required): +Sign up for the free **Qdrant Cloud** tier (1 GB) at [cloud.qdrant.io](https://cloud.qdrant.io) and create a cluster. Copy your **Cluster URL** and **API Key**. -```bash -docker run --rm -p 6333:6333 qdrant/qdrant -``` +> **Local alternative:** `docker run --rm -p 6333:6333 qdrant/qdrant` — set `QDRANT_URL=http://localhost:6333` and leave `QDRANT_API_KEY` empty. -Configure `.env` (copy from `.env.example`) and set at least `GOOGLE_API_KEY` and `QDRANT_URL`. +Configure `.env` (copy from `.env.example`) and set at least `GOOGLE_API_KEY`, `QDRANT_URL`, and `QDRANT_API_KEY`. ```bash uv sync @@ -31,7 +29,8 @@ Contributions are welcome — bug reports, docs improvements, and pull requests. ```bash cp .env.example .env -docker run --rm -p 6333:6333 qdrant/qdrant +# Set QDRANT_URL and QDRANT_API_KEY from Qdrant Cloud, or run locally: +# docker run --rm -p 6333:6333 qdrant/qdrant uv sync --dev uv run pytest uv run uvicorn maicro.main:app --reload diff --git a/data/ingestion_state.json b/data/ingestion_state.json index a4deb80..047f2d4 100644 --- a/data/ingestion_state.json +++ b/data/ingestion_state.json @@ -1,4 +1,4 @@ { "1482559510265467050": "1482874867786318005", - "1397366538524164118": "" + "1397366538524164118": "1483086999740219412" } \ No newline at end of file From 564aa7229d84ee56964eb1e05991f5fb08648149 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 15:41:36 +0100 Subject: [PATCH 084/127] feat: update quickstart guide with Discord integration setup and API usage examples, and add Discord-related variables to .env.example. --- .env.example | 40 ++++++++++++++++++++++++++++++++-------- README.md | 47 +++++++++++++++++++++++++++++++++++++++-------- 2 files changed, 71 insertions(+), 16 deletions(-) diff --git a/.env.example b/.env.example index e9d6851..6189451 100644 --- a/.env.example +++ b/.env.example @@ -1,9 +1,33 @@ +# ───────────────────────────────────────────────── +# mAIcro — Environment Configuration +# Copy this file to .env and fill in your values. +# ───────────────────────────────────────────────── + +# ── LLM Provider ──────────────────────────────── +# Currently only Google Gemini is supported. LLM_PROVIDER=google -DISCORD_BOT_TOKEN= -DISCORD_CHANNEL_IDS=123456789,987654321 -GOOGLE_API_KEY= - -# Qdrant Cloud (free 1GB tier): https://cloud.qdrant.io -# For local dev with Docker: QDRANT_URL=http://localhost:6333 (no API key needed) -QDRANT_URL=https://your-cluster.cloud.qdrant.io:6333 -QDRANT_API_KEY=your-qdrant-cloud-api-key +GOOGLE_API_KEY= # https://aistudio.google.com/app/apikey + +# ── Discord ───────────────────────────────────── +# Create a bot at https://discord.com/developers/applications +# Enable MESSAGE CONTENT intent, then invite the bot to your server +# with "Read Message History" + "View Channels" permissions. +DISCORD_BOT_TOKEN= # Bot → Token → Copy +DISCORD_CHANNEL_IDS= # Comma-separated channel IDs to ingest, e.g. 123456789,987654321 + +# ── Qdrant (Vector Database) ──────────────────── +# Sign up for the free 1 GB tier at https://cloud.qdrant.io +# Create a cluster → copy the URL and API key below. +QDRANT_URL= # e.g. https://abc123-xyz.us-east4-0.gcp.cloud.qdrant.io:6333 +QDRANT_API_KEY= # Cluster → API Keys → Create + +# For local development with Docker instead of cloud: +# docker run --rm -p 6333:6333 qdrant/qdrant +# QDRANT_URL=http://localhost:6333 +# QDRANT_API_KEY= (leave empty) + +# ── Organization (optional) ───────────────────── +# Customize the AI personality for your org. +# ORG_NAME=MyOrganization +# ORG_DESCRIPTION=A brief description of your organization +# COLLECTION_NAME=my_org_knowledge diff --git a/README.md b/README.md index 1ea47ca..6998b1c 100644 --- a/README.md +++ b/README.md @@ -1,23 +1,54 @@ # mAIcro: Open Source AI Service -## Setup (uv Only) +## Quickstart -This project uses `uv` as the single dependency manager. +> **Prerequisites:** [Python 3.10+](https://python.org) and [uv](https://docs.astral.sh/uv/) installed. -Sign up for the free **Qdrant Cloud** tier (1 GB) at [cloud.qdrant.io](https://cloud.qdrant.io) and create a cluster. Copy your **Cluster URL** and **API Key**. +#### 1. Clone & install dependencies -> **Local alternative:** `docker run --rm -p 6333:6333 qdrant/qdrant` — set `QDRANT_URL=http://localhost:6333` and leave `QDRANT_API_KEY` empty. +```bash +git clone https://github.com/MicroClub-USTHB/mAIcro.git +cd mAIcro +uv sync +``` -Configure `.env` (copy from `.env.example`) and set at least `GOOGLE_API_KEY`, `QDRANT_URL`, and `QDRANT_API_KEY`. +#### 2. Set up your `.env` + +```bash +cp .env.example .env +``` + +Open `.env` and fill in the three required services: + +| Variable | Where to get it | +|---|---| +| `GOOGLE_API_KEY` | [Google AI Studio](https://aistudio.google.com/app/apikey) — create an API key | +| `DISCORD_BOT_TOKEN` | [Discord Developer Portal](https://discord.com/developers/applications) — create a bot, copy its token | +| `DISCORD_CHANNEL_IDS` | Right-click a Discord channel → *Copy Channel ID* (comma-separated for multiple) | +| `QDRANT_URL` | [Qdrant Cloud](https://cloud.qdrant.io) — create a free cluster (1 GB), copy the URL | +| `QDRANT_API_KEY` | Qdrant Cloud dashboard → *API Keys* → create a key | + +> **Local alternative:** run `docker run --rm -p 6333:6333 qdrant/qdrant`, set `QDRANT_URL=http://localhost:6333`, and leave `QDRANT_API_KEY` empty. + +#### 3. Run the server ```bash -uv sync uv run uvicorn maicro.main:app --reload ``` -Do not use `pip install -r requirements.txt`. +#### 4. Ingest & ask + +```bash +# Trigger Discord ingestion +curl -X POST http://localhost:8000/api/v1/ingest/discord + +# Ask a question +curl -X POST http://localhost:8000/api/v1/ask \ + -H "Content-Type: application/json" \ + -d '{"question":"When is the next event?"}' +``` -This build is **Gemini-only**: set `LLM_PROVIDER=google` and configure `GOOGLE_API_KEY`. +> **Note:** This build is **Gemini-only** — set `LLM_PROVIDER=google` (the default). ## Contributing From a6377bb6a1c2fc064545d9333410f010ced5e3c4 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 16:01:31 +0100 Subject: [PATCH 085/127] feat: Implement Qdrant payload indexing for cloud compatibility and refine README API and setup documentation. --- README.md | 22 +++++++--------------- src/maicro/core/ingestion.py | 17 ++++++++++++++++- 2 files changed, 23 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index 6998b1c..6ac48f9 100644 --- a/README.md +++ b/README.md @@ -59,9 +59,7 @@ Contributions are welcome — bug reports, docs improvements, and pull requests. - Quick dev loop: ```bash -cp .env.example .env -# Set QDRANT_URL and QDRANT_API_KEY from Qdrant Cloud, or run locally: -# docker run --rm -p 6333:6333 qdrant/qdrant +cp .env.example .env # fill in your credentials (see Quickstart above) uv sync --dev uv run pytest uv run uvicorn maicro.main:app --reload @@ -76,19 +74,13 @@ To publish this project as true open source: 3. Keep runtime state out of git: do not commit runtime state directories (for example `var/`). 4. Publish the repo (for example on GitHub) as public and accept contributions via PRs. -## API Usage - -After starting the server, the API is available under `/api/v1`: - -```bash -curl http://localhost:8000/api/v1/health - -curl -X POST http://localhost:8000/api/v1/ask \ - -H "Content-Type: application/json" \ - -d '{"question":"When is the next event?"}' +## API Reference -curl -X POST http://localhost:8000/api/v1/ingest/discord -``` +| Endpoint | Method | Description | +|---|---|---| +| `/api/v1/health` | GET | Health check | +| `/api/v1/ask` | POST | Ask a question (`{"question": "..."}`) | +| `/api/v1/ingest/discord` | POST | Trigger Discord ingestion | ## Package Publishing Notes diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index 5d82c37..d39b0b2 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -97,7 +97,11 @@ def _docs_from_discord_messages( def _ensure_collection_exists(vector_size: int) -> None: - """Create local collection if missing, without relying on cached vector store.""" + """Create collection (if missing) and ensure payload indexes exist. + + Qdrant Cloud requires explicit payload indexes for filtered queries. + Local Qdrant auto-indexes, so these calls are safe no-ops there. + """ client = get_qdrant_client() if not client.collection_exists(settings.COLLECTION_NAME): client.create_collection( @@ -108,6 +112,17 @@ def _ensure_collection_exists(vector_size: int) -> None: ), ) + # Ensure payload indexes exist (required by Qdrant Cloud for filtered queries) + for field in ("metadata.channel_id", "metadata.message_id", "metadata.source"): + try: + client.create_payload_index( + collection_name=settings.COLLECTION_NAME, + field_name=field, + field_schema=qdrant_models.PayloadSchemaType.KEYWORD, + ) + except Exception: + pass # Index already exists or collection just created + def ingest_documents(documents: list[Document], filter_duplicates: bool = True) -> int: """ From 32c267c5b39b3a18839cc8b527c7392decd0d459 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 16:09:50 +0100 Subject: [PATCH 086/127] docs: Add detailed troubleshooting and Discord bot setup guides to the README and remove an old ingestion state entry. --- README.md | 34 ++++++++++++++++++++++++++++++++++ data/announcements.json | 0 data/ingestion_state.json | 1 - 3 files changed, 34 insertions(+), 1 deletion(-) delete mode 100644 data/announcements.json diff --git a/README.md b/README.md index 6ac48f9..d6e209c 100644 --- a/README.md +++ b/README.md @@ -48,6 +48,40 @@ curl -X POST http://localhost:8000/api/v1/ask \ -d '{"question":"When is the next event?"}' ``` +--- + +## 🛠 Troubleshooting & Tips + +### 1. Discord Bot permissions +If ingestion returns empty or 0 messages, check: +- **Intents:** Go to [Discord Developer Portal](https://discord.com/developers/applications) → Bot → **Message Content Intent** (must be ON). +- **Permissions:** The bot needs `View Channels` + `Read Message History` in the specific channels. +- **Bot Presence:** Ensure the bot is actually invited to the server. + +### 2. Qdrant Cloud "400 Bad Request" +This project auto-creates **Payload Indexes**. If you get a 400 error about missing indexes, the server will attempt to fix it on startup. If it persists, ensure your QDRANT_API_KEY has "Manage" or "Admin" permissions. + +### 3. Google Gemini Quota +If you get `429 Resource Exhausted`, you have hit the free tier rate limit. Wait 60 seconds and retry. + +--- + +## 🤖 Discord Bot Setup Guide (Detailed) + +1. Create an application at [Discord Developers](https://discord.com/developers/applications). +2. Go to the **Bot** tab: + - Click "Reset Token" to get your `DISCORD_BOT_TOKEN`. + - Scroll down to **Privileged Gateway Intents** → Enable **Message Content Intent**. +3. Go to **OAuth2** → **URL Generator**: + - Scopes: `bot`. + - Bot Permissions: `Read Messages/View Channels`, `Read Message History`. + - Copy the generated URL and open it in your browser to invite the bot. +4. To get `DISCORD_CHANNEL_IDS`: + - Enable "Developer Mode" in Discord Settings → Advanced. + - Right-click any channel → **Copy Channel ID**. + +--- + > **Note:** This build is **Gemini-only** — set `LLM_PROVIDER=google` (the default). ## Contributing diff --git a/data/announcements.json b/data/announcements.json deleted file mode 100644 index e69de29..0000000 diff --git a/data/ingestion_state.json b/data/ingestion_state.json index 047f2d4..59eae05 100644 --- a/data/ingestion_state.json +++ b/data/ingestion_state.json @@ -1,4 +1,3 @@ { - "1482559510265467050": "1482874867786318005", "1397366538524164118": "1483086999740219412" } \ No newline at end of file From 317db14dcc803b1a8742ec0d3a27a437d4f66c50 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 18:18:29 +0100 Subject: [PATCH 087/127] feat: Enforce Qdrant Cloud integration by requiring API key and removing local setup instructions. --- .env.example | 5 ----- README.md | 4 +--- src/maicro/core/config.py | 2 +- src/maicro/core/vector_store.py | 14 ++++++++++---- 4 files changed, 12 insertions(+), 13 deletions(-) diff --git a/.env.example b/.env.example index 6189451..9d93e95 100644 --- a/.env.example +++ b/.env.example @@ -21,11 +21,6 @@ DISCORD_CHANNEL_IDS= # Comma-separated channel IDs to ingest, e.g. 1234567 QDRANT_URL= # e.g. https://abc123-xyz.us-east4-0.gcp.cloud.qdrant.io:6333 QDRANT_API_KEY= # Cluster → API Keys → Create -# For local development with Docker instead of cloud: -# docker run --rm -p 6333:6333 qdrant/qdrant -# QDRANT_URL=http://localhost:6333 -# QDRANT_API_KEY= (leave empty) - # ── Organization (optional) ───────────────────── # Customize the AI personality for your org. # ORG_NAME=MyOrganization diff --git a/README.md b/README.md index d6e209c..cc72a40 100644 --- a/README.md +++ b/README.md @@ -28,8 +28,6 @@ Open `.env` and fill in the three required services: | `QDRANT_URL` | [Qdrant Cloud](https://cloud.qdrant.io) — create a free cluster (1 GB), copy the URL | | `QDRANT_API_KEY` | Qdrant Cloud dashboard → *API Keys* → create a key | -> **Local alternative:** run `docker run --rm -p 6333:6333 qdrant/qdrant`, set `QDRANT_URL=http://localhost:6333`, and leave `QDRANT_API_KEY` empty. - #### 3. Run the server ```bash @@ -59,7 +57,7 @@ If ingestion returns empty or 0 messages, check: - **Bot Presence:** Ensure the bot is actually invited to the server. ### 2. Qdrant Cloud "400 Bad Request" -This project auto-creates **Payload Indexes**. If you get a 400 error about missing indexes, the server will attempt to fix it on startup. If it persists, ensure your QDRANT_API_KEY has "Manage" or "Admin" permissions. +This project auto-creates **Payload Indexes**. If you get a 400 error about missing indexes, the server will attempt to fix it on startup. Ensure your QDRANT_API_KEY has "Manage" or "Admin" permissions. ### 3. Google Gemini Quota If you get `429 Resource Exhausted`, you have hit the free tier rate limit. Wait 60 seconds and retry. diff --git a/src/maicro/core/config.py b/src/maicro/core/config.py index 510bbeb..56b1687 100644 --- a/src/maicro/core/config.py +++ b/src/maicro/core/config.py @@ -18,7 +18,7 @@ class Settings(BaseSettings): DISCORD_BOT_TOKEN: Optional[str] = None DISCORD_CHANNEL_IDS: Optional[str] = None - QDRANT_URL: str = "http://localhost:6333" + QDRANT_URL: Optional[str] = None QDRANT_API_KEY: Optional[str] = None COLLECTION_NAME: str = "microclub_knowledge" diff --git a/src/maicro/core/vector_store.py b/src/maicro/core/vector_store.py index 9e5a1a1..fdd1e09 100644 --- a/src/maicro/core/vector_store.py +++ b/src/maicro/core/vector_store.py @@ -10,10 +10,16 @@ @lru_cache(maxsize=1) def get_qdrant_client() -> QdrantClient: - """Return a singleton Qdrant client for this process.""" - if settings.QDRANT_API_KEY: - return QdrantClient(url=settings.QDRANT_URL, api_key=settings.QDRANT_API_KEY) - return QdrantClient(url=settings.QDRANT_URL) + """Return a singleton Qdrant client for this process. + + Now strictly Cloud-only: requires QDRANT_URL and QDRANT_API_KEY. + """ + if not settings.QDRANT_URL or not settings.QDRANT_API_KEY: + raise ValueError( + "mAIcro is now Cloud-only. Please set QDRANT_URL and QDRANT_API_KEY in your .env file. " + "See README.md for instructions on setting up a free Qdrant Cloud cluster." + ) + return QdrantClient(url=settings.QDRANT_URL, api_key=settings.QDRANT_API_KEY) @lru_cache(maxsize=1) From c5d460e20092b3baa058201fefb1068aa4041266 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 18:31:38 +0100 Subject: [PATCH 088/127] feat: Migrate ingestion state management from local files to Qdrant and add Dockerfile for application containerization. --- .dockerignore | 12 +++++ Dockerfile | 43 ++++++++++++++++ data/ingestion_state.json | 3 -- docker-compose.yml | 14 ++++++ src/maicro/core/state.py | 102 +++++++++++++++++++++----------------- 5 files changed, 126 insertions(+), 48 deletions(-) create mode 100644 .dockerignore create mode 100644 Dockerfile delete mode 100644 data/ingestion_state.json create mode 100644 docker-compose.yml diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..61b77a5 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,12 @@ +__pycache__/ +*.py[cod] +*$py.class +.venv/ +.env +local_qdrant/ +var/ +data/ +.git/ +.github/ +.pytest_cache/ +tests/ diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..aa5b84e --- /dev/null +++ b/Dockerfile @@ -0,0 +1,43 @@ +# Use a specialized uv image for building +FROM ghcr.io/astral-sh/uv:python3.12-slim AS builder + +# Enable bytecode compilation +ENV UV_COMPILE_BYTECODE=1 + +# Copy from the cache instead of linking since it's a multi-stage build +ENV UV_LINK_MODE=copy + +WORKDIR /app + +# Install the project's dependencies from the lockfile and pyproject.toml +# Note: We don't have a uv.lock yet, but uv can generate one or just use pyproject.toml +RUN --mount=type=cache,target=/root/.cache/uv \ + --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ + --mount=type=bind,source=README.md,target=README.md \ + uv sync --frozen --no-install-project --no-dev + +# Copy the source code +COPY . . + +# Install the project itself +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --no-dev + + +# Use a tiny run-time image +FROM python:3.12-slim + +WORKDIR /app + +# Copy the environment from the builder +COPY --from=builder /app/.venv /app/.venv + +# Ensure the app can find the project modules +ENV PATH="/app/.venv/bin:$PATH" +ENV PYTHONPATH="/app/src" + +# Expose the API port +EXPOSE 8000 + +# Run the service +CMD ["uvicorn", "maicro.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/data/ingestion_state.json b/data/ingestion_state.json deleted file mode 100644 index 59eae05..0000000 --- a/data/ingestion_state.json +++ /dev/null @@ -1,3 +0,0 @@ -{ - "1397366538524164118": "1483086999740219412" -} \ No newline at end of file diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..b90b295 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,14 @@ +services: + maicro: + build: . + container_name: maicro + ports: + - "8000:8000" + env_file: + - .env + restart: unless-stopped + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8000/api/v1/health"] + interval: 30s + timeout: 10s + retries: 3 diff --git a/src/maicro/core/state.py b/src/maicro/core/state.py index 84b839f..ad50745 100644 --- a/src/maicro/core/state.py +++ b/src/maicro/core/state.py @@ -1,60 +1,72 @@ -import json import logging -from pathlib import Path +import uuid from typing import Optional -logger = logging.getLogger(__name__) +from qdrant_client.http import models as qdrant_models -STATE_FILE_PATH = Path("data/ingestion_state.json") +from maicro.core.config import settings +from maicro.core.vector_store import get_qdrant_client +logger = logging.getLogger(__name__) + +# Use a deterministic namespace for cursor UUIDs +CURSOR_NAMESPACE = uuid.UUID("6ba7b810-9dad-11d1-80b4-00c04fd430c8") -def load_state(file_path: Path = STATE_FILE_PATH) -> dict[str, str]: - """Load the ingestion state from a JSON file. Returns an empty dict if the file doesn't exist.""" - if not file_path.exists() or file_path.stat().st_size == 0: - return {} - - try: - with open(file_path, "r", encoding="utf-8") as f: - return json.load(f) - except json.JSONDecodeError: - logger.warning(f"Failed to parse state file at {file_path}. Returning empty state.") - return {} - except Exception as e: - logger.error(f"Error reading state file: {e}") - return {} +def _get_cursor_id(channel_id: str) -> str: + """Generate a deterministic UUID for a channel's cursor point.""" + return str(uuid.uuid5(CURSOR_NAMESPACE, f"cursor_{channel_id}")) -def save_state(state: dict[str, str], file_path: Path = STATE_FILE_PATH) -> None: - """Save the ingestion state to a JSON file.""" - file_path.parent.mkdir(parents=True, exist_ok=True) +def get_last_ingested_message_id(channel_id: str) -> Optional[str]: + """Get the last ingested message ID from Qdrant Cloud.""" + client = get_qdrant_client() + point_id = _get_cursor_id(channel_id) + try: - with open(file_path, "w", encoding="utf-8") as f: - json.dump(state, f, indent=4) + results = client.retrieve( + collection_name=settings.COLLECTION_NAME, + ids=[point_id], + with_payload=True, + with_vectors=False, + ) + if results: + return results[0].payload.get("message_id") except Exception as e: - logger.error(f"Error saving state file: {e}") - - -def get_last_ingested_message_id(channel_id: str, file_path: Path = STATE_FILE_PATH) -> Optional[str]: - """Get the last ingested message ID for a specific channel. Returns None if not found.""" - state = load_state(file_path) - result = state.get(channel_id) - if result is None: - logger.debug(f"[state] No last message ID found for channel {channel_id}, channel may be new or never ingested") - return result + logger.debug(f"[state] Failed to retrieve cursor for {channel_id}: {e}") + + return None -def ensure_channel_in_state(channel_id: str, file_path: Path = STATE_FILE_PATH) -> None: - """Ensure a channel exists in the state file. Creates an entry if missing.""" - state = load_state(file_path) - if channel_id not in state: - logger.info(f"[state] Initializing new channel {channel_id} in state file") - state[channel_id] = "" # Empty string indicates channel seen but no messages ingested yet - save_state(state, file_path) +def ensure_channel_in_state(channel_id: str) -> None: + """Ensures channel exists (No-op in Qdrant implementation).""" + pass -def update_last_ingested_message_id(channel_id: str, message_id: str, file_path: Path = STATE_FILE_PATH) -> None: - """Update the last ingested message ID for a specific channel.""" - state = load_state(file_path) - state[channel_id] = message_id - save_state(state, file_path) +def update_last_ingested_message_id(channel_id: str, message_id: str) -> None: + """Update or create the last ingested message ID in Qdrant Cloud.""" + client = get_qdrant_client() + point_id = _get_cursor_id(channel_id) + + # We store cursors as special points with no vectors (or zero vectors) + # and a 'source=ingestion_cursor' tag to easily filter them out if needed. + client.upsert( + collection_name=settings.COLLECTION_NAME, + points=[ + qdrant_models.PointStruct( + id=point_id, + vector={}, # Empty dict for collections with named vectors? + # For our standard COSINE collection, we might need a dummy vector + # or just use payload. + payload={ + "metadata": { + "channel_id": channel_id, + "source": "ingestion_cursor", + }, + "message_id": message_id, + "page_content": f"Ingestion cursor for channel {channel_id}", + }, + ) + ], + ) + logger.debug(f"[state] Updated cursor for {channel_id} to {message_id}") From 1f7f974746378b674f82d7fad0731fd8980b2139 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 18:33:48 +0100 Subject: [PATCH 089/127] docs: update README with new server run instructions, including Docker, and renumber sections. --- Dockerfile | 14 -------------- README.md | 16 +++++++++++----- 2 files changed, 11 insertions(+), 19 deletions(-) diff --git a/Dockerfile b/Dockerfile index aa5b84e..b5849b7 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,43 +1,29 @@ -# Use a specialized uv image for building FROM ghcr.io/astral-sh/uv:python3.12-slim AS builder -# Enable bytecode compilation ENV UV_COMPILE_BYTECODE=1 - -# Copy from the cache instead of linking since it's a multi-stage build ENV UV_LINK_MODE=copy WORKDIR /app -# Install the project's dependencies from the lockfile and pyproject.toml -# Note: We don't have a uv.lock yet, but uv can generate one or just use pyproject.toml RUN --mount=type=cache,target=/root/.cache/uv \ --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ --mount=type=bind,source=README.md,target=README.md \ uv sync --frozen --no-install-project --no-dev -# Copy the source code COPY . . -# Install the project itself RUN --mount=type=cache,target=/root/.cache/uv \ uv sync --frozen --no-dev - -# Use a tiny run-time image FROM python:3.12-slim WORKDIR /app -# Copy the environment from the builder COPY --from=builder /app/.venv /app/.venv -# Ensure the app can find the project modules ENV PATH="/app/.venv/bin:$PATH" ENV PYTHONPATH="/app/src" -# Expose the API port EXPOSE 8000 -# Run the service CMD ["uvicorn", "maicro.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/README.md b/README.md index cc72a40..0d1d41c 100644 --- a/README.md +++ b/README.md @@ -28,22 +28,28 @@ Open `.env` and fill in the three required services: | `QDRANT_URL` | [Qdrant Cloud](https://cloud.qdrant.io) — create a free cluster (1 GB), copy the URL | | `QDRANT_API_KEY` | Qdrant Cloud dashboard → *API Keys* → create a key | -#### 3. Run the server +#### 4. Run & Test +**Option A: Standard (local)** ```bash -uv run uvicorn maicro.main:app --reload +uv run uvicorn maicro.main:app --host 0.0.0.0 --port 8000 +``` + +**Option B: Docker (recommended)** +```bash +docker compose up -d ``` -#### 4. Ingest & ask +#### 5. Ingest & ask ```bash -# Trigger Discord ingestion +# Trigger Discord ingestion (Stateless - cursors saved to Cloud) curl -X POST http://localhost:8000/api/v1/ingest/discord # Ask a question curl -X POST http://localhost:8000/api/v1/ask \ -H "Content-Type: application/json" \ - -d '{"question":"When is the next event?"}' + -d '{"question":"What projects are the dev team working on?"}' ``` --- From f57934c8db4b5f40b3a40fd0d8ae5a59be702713 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 18:36:37 +0100 Subject: [PATCH 090/127] refactor: Remove standalone `ingest.py`, `main.py`, and `ask.py` scripts, and update README for a streamlined, Docker-centric quickstart. --- README.md | 169 ++++++++++++++---------------------------------------- ask.py | 12 ---- ingest.py | 10 ---- main.py | 12 ---- 4 files changed, 42 insertions(+), 161 deletions(-) delete mode 100644 ask.py delete mode 100644 ingest.py delete mode 100644 main.py diff --git a/README.md b/README.md index 0d1d41c..ef76298 100644 --- a/README.md +++ b/README.md @@ -1,49 +1,38 @@ -# mAIcro: Open Source AI Service +# mAIcro: Open Source Knowledge Service -## Quickstart +**mAIcro** is a professional, stateless AI service designed to centralize organizational knowledge and answer questions via RAG (Retrieval-Augmented Generation). -> **Prerequisites:** [Python 3.10+](https://python.org) and [uv](https://docs.astral.sh/uv/) installed. +--- + +## 🚀 Quickstart -#### 1. Clone & install dependencies +Setting up mAIcro takes less than 5 minutes. +#### 1. Clone & Initialize ```bash git clone https://github.com/MicroClub-USTHB/mAIcro.git cd mAIcro -uv sync -``` - -#### 2. Set up your `.env` - -```bash cp .env.example .env ``` -Open `.env` and fill in the three required services: +#### 2. Configure Credentials +Open `.env` and provide credentials for these three free services: -| Variable | Where to get it | -|---|---| -| `GOOGLE_API_KEY` | [Google AI Studio](https://aistudio.google.com/app/apikey) — create an API key | -| `DISCORD_BOT_TOKEN` | [Discord Developer Portal](https://discord.com/developers/applications) — create a bot, copy its token | -| `DISCORD_CHANNEL_IDS` | Right-click a Discord channel → *Copy Channel ID* (comma-separated for multiple) | -| `QDRANT_URL` | [Qdrant Cloud](https://cloud.qdrant.io) — create a free cluster (1 GB), copy the URL | -| `QDRANT_API_KEY` | Qdrant Cloud dashboard → *API Keys* → create a key | - -#### 4. Run & Test - -**Option A: Standard (local)** -```bash -uv run uvicorn maicro.main:app --host 0.0.0.0 --port 8000 -``` +| Service | Purpose | Where to get it | +|---|---|---| +| **Google Gemini** | LLM & Embeddings | [Google AI Studio](https://aistudio.google.com/app/apikey) | +| **Discord Bot** | Data Source | [Discord Developer Portal](https://discord.com/developers/applications) | +| **Qdrant Cloud** | Stateless Memory | [Qdrant Cloud](https://cloud.qdrant.io) (Free 1GB tier) | -**Option B: Docker (recommended)** +#### 3. Run with Docker (Recommended) ```bash docker compose up -d ``` +*The service is now alive at `http://localhost:8000`.* -#### 5. Ingest & ask - +#### 4. Ingest & Ask ```bash -# Trigger Discord ingestion (Stateless - cursors saved to Cloud) +# Sync Discord history to the cloud curl -X POST http://localhost:8000/api/v1/ingest/discord # Ask a question @@ -54,121 +43,47 @@ curl -X POST http://localhost:8000/api/v1/ask \ --- -## 🛠 Troubleshooting & Tips - -### 1. Discord Bot permissions -If ingestion returns empty or 0 messages, check: -- **Intents:** Go to [Discord Developer Portal](https://discord.com/developers/applications) → Bot → **Message Content Intent** (must be ON). -- **Permissions:** The bot needs `View Channels` + `Read Message History` in the specific channels. -- **Bot Presence:** Ensure the bot is actually invited to the server. - -### 2. Qdrant Cloud "400 Bad Request" -This project auto-creates **Payload Indexes**. If you get a 400 error about missing indexes, the server will attempt to fix it on startup. Ensure your QDRANT_API_KEY has "Manage" or "Admin" permissions. +## 🛠 Features -### 3. Google Gemini Quota -If you get `429 Resource Exhausted`, you have hit the free tier rate limit. Wait 60 seconds and retry. +- **Stateless Architecture**: No local database required. Ingestion cursors and embeddings are stored in Qdrant Cloud. +- **Discord Integration**: Automatically syncs announcements and messages from specified channels. +- **Production-Ready**: Multi-stage Docker builds and built-in health checks. +- **RAG-Powered**: Uses Gemini 1.5 Flash for fast, accurate organizational QA. --- -## 🤖 Discord Bot Setup Guide (Detailed) +## 🤖 Discord Bot Setup Tips -1. Create an application at [Discord Developers](https://discord.com/developers/applications). -2. Go to the **Bot** tab: - - Click "Reset Token" to get your `DISCORD_BOT_TOKEN`. - - Scroll down to **Privileged Gateway Intents** → Enable **Message Content Intent**. -3. Go to **OAuth2** → **URL Generator**: - - Scopes: `bot`. - - Bot Permissions: `Read Messages/View Channels`, `Read Message History`. - - Copy the generated URL and open it in your browser to invite the bot. -4. To get `DISCORD_CHANNEL_IDS`: - - Enable "Developer Mode" in Discord Settings → Advanced. - - Right-click any channel → **Copy Channel ID**. +1. **Intents**: Enable **Message Content Intent** in the Discord Developer Portal. +2. **Permissions**: The bot needs `View Channels` and `Read Message History`. +3. **Channel IDs**: Enable Discord Developer Mode and right-click any channel to copy its ID. --- -> **Note:** This build is **Gemini-only** — set `LLM_PROVIDER=google` (the default). - -## Contributing - -Contributions are welcome — bug reports, docs improvements, and pull requests. - -- Start here: `CONTRIBUTING.md` -- Security issues: `SECURITY.md` -- Quick dev loop: - -```bash -cp .env.example .env # fill in your credentials (see Quickstart above) -uv sync --dev -uv run pytest -uv run uvicorn maicro.main:app --reload -``` - -## Open-Source Release Checklist - -To publish this project as true open source: - -1. Add a `LICENSE` file (no license means others cannot legally reuse the code). -2. Keep secrets out of git: never commit `.env` (use `.env.example` instead). -3. Keep runtime state out of git: do not commit runtime state directories (for example `var/`). -4. Publish the repo (for example on GitHub) as public and accept contributions via PRs. - -## API Reference - -| Endpoint | Method | Description | -|---|---|---| -| `/api/v1/health` | GET | Health check | -| `/api/v1/ask` | POST | Ask a question (`{"question": "..."}`) | -| `/api/v1/ingest/discord` | POST | Trigger Discord ingestion | +## 📁 Project Structure -## Package Publishing Notes - -This repository is structured for packaging from `pyproject.toml`. - -```bash -uv build +```text +. +├── src/maicro/ +│ ├── api/ # HTTP routes & schemas +│ ├── core/ # Configuration & Ingestion logic +│ └── services/ # Business logic (QA system) +├── Dockerfile # Optimized multi-stage build +├── docker-compose.yml # Service definitions +└── pyproject.toml # Metadata & dependencies ``` -## Overview - -**mAIcro** is an open-source AI service designed to help organizations centralize information and answer questions based on their internal data. - -It is not a simple chatbot or a Discord bot. -Instead, **mAIcro acts as an AI-powered knowledge service** that understands structured information and uses it to provide accurate answers to users. - -The system can process organizational data such as announcements, documentation, and structured datasets, then make that information easily accessible through natural language queries. - -While the first deployment of mAIcro is within **Micro Club**, the system itself is designed as **reusable infrastructure** that can be adapted to any community or organization. +--- -# Goals +> **Note:** This service is **Gemini-only** by default. Set `LLM_PROVIDER=google` in your `.env`. -The main goals of **mAIcro** are: +## Contributing -* Centralize important information in one accessible system -* Allow members to query information using natural language -* Reduce repetitive questions asked to staff or moderators -* Provide reliable answers based on official sources -* Create reusable AI infrastructure for communities +We welcome professional contributions. Please see `CONTRIBUTING.md` for our development standards and `SECURITY.md` for reporting vulnerabilities. --- +© 2026 Micro Club. Released under the MIT License. -# Project Structure - -```text -. -├── src/ -│ └── maicro/ -│ ├── main.py # Canonical FastAPI app entrypoint -│ ├── api/ # HTTP routes, schemas, error handlers -│ ├── core/ # Config, logging, ingestion, providers, vector store -│ └── services/ # Business logic (Q&A service) -├── data/ # Legacy sample data (not used by default) -├── tests/ -│ ├── api/ # API route tests -│ └── unit/ # Unit tests -├── var/ # Runtime state (local vector DB path) -├── main.py # Backward-compatible wrapper entrypoint -└── pyproject.toml # Packaging and project metadata -``` For new setups, prefer `maicro.main:app`. diff --git a/ask.py b/ask.py deleted file mode 100644 index 9e02bd3..0000000 --- a/ask.py +++ /dev/null @@ -1,12 +0,0 @@ -"""Compatibility wrapper for `python ask.py` in a src-layout project.""" - -from pathlib import Path -import sys - -sys.path.insert(0, str(Path(__file__).resolve().parent / "src")) - -from maicro.cli import ask_main - - -if __name__ == "__main__": - ask_main() diff --git a/ingest.py b/ingest.py deleted file mode 100644 index 20aaad5..0000000 --- a/ingest.py +++ /dev/null @@ -1,10 +0,0 @@ -from pathlib import Path -import sys - -sys.path.insert(0, str(Path(__file__).resolve().parent / "src")) - -from maicro.cli import ingest_main - - -if __name__ == "__main__": - ingest_main() diff --git a/main.py b/main.py deleted file mode 100644 index 0918112..0000000 --- a/main.py +++ /dev/null @@ -1,12 +0,0 @@ -from pathlib import Path -import sys - -sys.path.insert(0, str(Path(__file__).resolve().parent / "src")) - -from maicro.main import app - - -if __name__ == "__main__": - import uvicorn - - uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True) From 22dcd94c0813eceeb2d3bd016d3fd001cdae88f8 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 18:41:58 +0100 Subject: [PATCH 091/127] test: add conftest.py with a pytest fixture to mock environment variables for tests. --- tests/conftest.py | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 tests/conftest.py diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..0cdd7c6 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,11 @@ +import pytest +from maicro.core.config import settings + +@pytest.fixture(autouse=True) +def mock_env_vars(monkeypatch): + """Provide dummy environment variables for all tests to bypass strict Cloud-only checks.""" + monkeypatch.setattr(settings, "QDRANT_URL", "https://dummy.qdrant.io:6333") + monkeypatch.setattr(settings, "QDRANT_API_KEY", "dummy-api-key") + monkeypatch.setattr(settings, "GOOGLE_API_KEY", "dummy-google-key") + monkeypatch.setattr(settings, "DISCORD_BOT_TOKEN", "dummy-discord-token") + monkeypatch.setattr(settings, "DISCORD_CHANNEL_IDS", "123456789") From 7e20b430b259f3a62caf6f58b351851c6c4a5919 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Tue, 17 Mar 2026 19:12:49 +0100 Subject: [PATCH 092/127] feat: Add architecture diagrams and update quickstart --- README.md | 66 +++++++++++++++++++++++++++++++++++++++++----- docker-compose.yml | 3 ++- 2 files changed, 62 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index ef76298..a0c0b29 100644 --- a/README.md +++ b/README.md @@ -1,33 +1,87 @@ +

+ +

+ # mAIcro: Open Source Knowledge Service **mAIcro** is a professional, stateless AI service designed to centralize organizational knowledge and answer questions via RAG (Retrieval-Augmented Generation). --- +## 🏛 System Architecture + +mAIcro follows a modern, stateless architecture optimized for cloud deployment. + +```mermaid +graph TD + User([User]) <--> API[FastAPI Service] + API <--> Qdrant[(Qdrant Cloud)] + API <--> Gemini[[Google Gemini AI]] + Cron[Cron/Trigger] --> Ingest[Ingestion Pipeline] + Ingest --> Discord[Discord API] + Discord --> Messages[Discord Messages] + Messages --> Embed[Embeddings] + Embed --> Qdrant + + subgraph "Stateless Backend" + API + Ingest + end + + subgraph "Cloud Services" + Qdrant + Gemini + end +``` + +--- + +## 🔄 Stateless Data Flow + +mAIcro ensures zero-loss ingestion without local state by syncing cursors to the cloud. + +```mermaid +sequenceDiagram + participant D as Discord API + participant I as Ingestion Pipeline + participant Q as Qdrant Cloud + + I->>Q: Fetch last Message ID (Cursor) + Q-->>I: Cursor point + I->>D: Fetch messages AFTER Cursor ID + D-->>I: New Messages + I->>I: Generate Embeddings + I->>Q: Upsert Documents (Vector + Metadata) + I->>Q: Update Cursor ID (Newest Message) +``` + +--- + ## 🚀 Quickstart Setting up mAIcro takes less than 5 minutes. -#### 1. Clone & Initialize +#### 1. Zero-Clone Deployment (New) +You don't even need to clone this repo to run mAIcro. Just download these two files: ```bash -git clone https://github.com/MicroClub-USTHB/mAIcro.git -cd mAIcro +curl -O https://raw.githubusercontent.com/MicroClub-USTHB/mAIcro/main/docker-compose.yml +curl -O https://raw.githubusercontent.com/MicroClub-USTHB/mAIcro/main/.env.example cp .env.example .env ``` #### 2. Configure Credentials -Open `.env` and provide credentials for these three free services: - +Open `.env` and fill in: | Service | Purpose | Where to get it | |---|---|---| | **Google Gemini** | LLM & Embeddings | [Google AI Studio](https://aistudio.google.com/app/apikey) | | **Discord Bot** | Data Source | [Discord Developer Portal](https://discord.com/developers/applications) | | **Qdrant Cloud** | Stateless Memory | [Qdrant Cloud](https://cloud.qdrant.io) (Free 1GB tier) | -#### 3. Run with Docker (Recommended) +#### 3. Run ```bash docker compose up -d ``` +*Docker will automatically pull the image from GHCR and start the service.* *The service is now alive at `http://localhost:8000`.* #### 4. Ingest & Ask diff --git a/docker-compose.yml b/docker-compose.yml index b90b295..9b32ba0 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,6 +1,7 @@ services: maicro: - build: . + image: ghcr.io/microclub-usthb/maicro:latest + # build: . # Uncomment to build from local source container_name: maicro ports: - "8000:8000" From 127d562b8b6c50ec796a080a6cffbecb01959281 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Youn=C3=A8s=20BENSAFIA?= <114447089+YounesBensafia@users.noreply.github.com> Date: Tue, 17 Mar 2026 19:19:30 +0100 Subject: [PATCH 093/127] Update section headings in README --- README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index a0c0b29..ccd0a00 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@

- + image

# mAIcro: Open Source Knowledge Service @@ -8,7 +8,7 @@ --- -## 🏛 System Architecture +## System Architecture mAIcro follows a modern, stateless architecture optimized for cloud deployment. @@ -36,7 +36,7 @@ graph TD --- -## 🔄 Stateless Data Flow +## Stateless Data Flow mAIcro ensures zero-loss ingestion without local state by syncing cursors to the cloud. @@ -57,7 +57,7 @@ sequenceDiagram --- -## 🚀 Quickstart +## Quickstart Setting up mAIcro takes less than 5 minutes. @@ -97,7 +97,7 @@ curl -X POST http://localhost:8000/api/v1/ask \ --- -## 🛠 Features +## Features - **Stateless Architecture**: No local database required. Ingestion cursors and embeddings are stored in Qdrant Cloud. - **Discord Integration**: Automatically syncs announcements and messages from specified channels. @@ -106,7 +106,7 @@ curl -X POST http://localhost:8000/api/v1/ask \ --- -## 🤖 Discord Bot Setup Tips +## Discord Bot Setup Tips 1. **Intents**: Enable **Message Content Intent** in the Discord Developer Portal. 2. **Permissions**: The bot needs `View Channels` and `Read Message History`. @@ -114,7 +114,7 @@ curl -X POST http://localhost:8000/api/v1/ask \ --- -## 📁 Project Structure +## Project Structure ```text . From f1ddd96df35e83b8c70a0e22efe0efd9e01c883c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Youn=C3=A8s=20BENSAFIA?= <114447089+YounesBensafia@users.noreply.github.com> Date: Tue, 17 Mar 2026 19:43:54 +0100 Subject: [PATCH 094/127] Update image in README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ccd0a00..9dfe3a5 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@

- image + image

# mAIcro: Open Source Knowledge Service From 5ba49bc03086f19e375f949a03b4bc03b3a0f883 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Wed, 18 Mar 2026 02:19:41 +0100 Subject: [PATCH 095/127] feat: Rename Google API key to Gemini API key and add a dedicated health check endpoint. --- .env.example | 2 +- docker-compose.yml | 2 +- src/maicro/core/config.py | 2 +- src/maicro/core/llm_provider.py | 12 ++++++------ src/maicro/main.py | 6 ++++++ tests/conftest.py | 2 +- 6 files changed, 16 insertions(+), 10 deletions(-) diff --git a/.env.example b/.env.example index 9d93e95..33c20b0 100644 --- a/.env.example +++ b/.env.example @@ -6,7 +6,7 @@ # ── LLM Provider ──────────────────────────────── # Currently only Google Gemini is supported. LLM_PROVIDER=google -GOOGLE_API_KEY= # https://aistudio.google.com/app/apikey +GEMINI_API_KEY= # https://aistudio.google.com/app/apikey # ── Discord ───────────────────────────────────── # Create a bot at https://discord.com/developers/applications diff --git a/docker-compose.yml b/docker-compose.yml index 9b32ba0..b813887 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -9,7 +9,7 @@ services: - .env restart: unless-stopped healthcheck: - test: ["CMD", "curl", "-f", "http://localhost:8000/api/v1/health"] + test: ["CMD", "curl", "-f", "http://localhost:8000/health"] interval: 30s timeout: 10s retries: 3 diff --git a/src/maicro/core/config.py b/src/maicro/core/config.py index 56b1687..7bb21fe 100644 --- a/src/maicro/core/config.py +++ b/src/maicro/core/config.py @@ -11,7 +11,7 @@ class Settings(BaseSettings): CORE_RULES: Optional[List[str]] = None LLM_PROVIDER: str = "google" - GOOGLE_API_KEY: Optional[str] = None + GEMINI_API_KEY: Optional[str] = None MODEL_NAME: Optional[str] = None GOOGLE_MODEL_NAME: str = "gemini-2.5-flash" diff --git a/src/maicro/core/llm_provider.py b/src/maicro/core/llm_provider.py index 85582a6..931970d 100644 --- a/src/maicro/core/llm_provider.py +++ b/src/maicro/core/llm_provider.py @@ -14,27 +14,27 @@ def get_llm(): from langchain_google_genai import ChatGoogleGenerativeAI - if not settings.GOOGLE_API_KEY: - raise ConfigurationError("GOOGLE_API_KEY not found in .env.") + if not settings.GEMINI_API_KEY: + raise ConfigurationError("GEMINI_API_KEY not found in .env.") model_name = settings.MODEL_NAME or settings.GOOGLE_MODEL_NAME return ChatGoogleGenerativeAI( model=model_name, - google_api_key=settings.GOOGLE_API_KEY, + google_api_key=settings.GEMINI_API_KEY, temperature=0, ) def get_embeddings(): from langchain_google_genai import GoogleGenerativeAIEmbeddings - if not settings.GOOGLE_API_KEY: + if not settings.GEMINI_API_KEY: raise ConfigurationError( - "GOOGLE_API_KEY not found in .env. " + "GEMINI_API_KEY not found in .env. " "Gemini embeddings require a valid Google API key." ) return GoogleGenerativeAIEmbeddings( model="models/gemini-embedding-001", - google_api_key=settings.GOOGLE_API_KEY + google_api_key=settings.GEMINI_API_KEY ) diff --git a/src/maicro/main.py b/src/maicro/main.py index 094a425..8d3adc6 100644 --- a/src/maicro/main.py +++ b/src/maicro/main.py @@ -53,6 +53,12 @@ async def lifespan(app: FastAPI): ), ) +@app.get("/health") +async def health_check(): + """Simple health check endpoint.""" + return {"status": "ok"} + + app.include_router(router) register_exception_handlers(app) diff --git a/tests/conftest.py b/tests/conftest.py index 0cdd7c6..d2ba196 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -6,6 +6,6 @@ def mock_env_vars(monkeypatch): """Provide dummy environment variables for all tests to bypass strict Cloud-only checks.""" monkeypatch.setattr(settings, "QDRANT_URL", "https://dummy.qdrant.io:6333") monkeypatch.setattr(settings, "QDRANT_API_KEY", "dummy-api-key") - monkeypatch.setattr(settings, "GOOGLE_API_KEY", "dummy-google-key") + monkeypatch.setattr(settings, "GEMINI_API_KEY", "dummy-gemini-key") monkeypatch.setattr(settings, "DISCORD_BOT_TOKEN", "dummy-discord-token") monkeypatch.setattr(settings, "DISCORD_CHANNEL_IDS", "123456789") From b30768ddff70ce2e54f5a8598f4522c49d921931 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Wed, 18 Mar 2026 02:21:05 +0100 Subject: [PATCH 096/127] chore: Remove policy document and the command-line interface for asking questions and data ingestion. --- CONTRIBUTING.md | 37 ++++----------------- SECURITY.md | 10 ------ src/maicro/cli.py | 82 ----------------------------------------------- 3 files changed, 7 insertions(+), 122 deletions(-) delete mode 100644 SECURITY.md delete mode 100644 src/maicro/cli.py diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 9e09f7b..63fd4c6 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -11,33 +11,17 @@ Thanks for your interest in contributing to **mAIcro**. If you’ve found a security issue, please follow `SECURITY.md` instead of opening a public issue. -## Development setup - -### Prerequisites - -- Python 3.10+ (CI runs 3.10–3.12) -- `uv` (dependency management + runner) -- Docker (recommended) to run Qdrant locally - -### Install + configure +Start the local dev service: ```bash -cp .env.example .env uv sync --dev +cp .env.example .env +# Edit .env and set at least: +# LLM_PROVIDER=google +# GEMINI_API_KEY=... +# QDRANT_URL=http://localhost:6333 ``` -Start Qdrant (required for running the service locally): - -```bash -docker run --rm -p 6333:6333 qdrant/qdrant -``` - -Edit `.env` and set at least: - -- `LLM_PROVIDER=google` -- `GOOGLE_API_KEY=...` -- `QDRANT_URL=http://localhost:6333` - ## Common commands Run tests: @@ -49,14 +33,7 @@ uv run pytest Start the API locally: ```bash -uv run uvicorn maicro.main:app --reload -``` - -CLI wrappers (optional): - -```bash -uv run python ask.py "When is the next event?" -uv run python ingest.py --limit 200 +uv run uvicorn maicro.main:app --reload --host 0.0.0.0 --port 8000 ``` ## Pull requests diff --git a/SECURITY.md b/SECURITY.md deleted file mode 100644 index c3ad810..0000000 --- a/SECURITY.md +++ /dev/null @@ -1,10 +0,0 @@ -# Security Policy - -## Reporting a vulnerability - -Please do not open a public issue for suspected security vulnerabilities. - -Preferred: use GitHub's private vulnerability reporting (Security Advisories) for this repository. - -If that is not available, open a minimal public issue that does not include exploit details and ask for a private contact method. - diff --git a/src/maicro/cli.py b/src/maicro/cli.py deleted file mode 100644 index d206ab1..0000000 --- a/src/maicro/cli.py +++ /dev/null @@ -1,82 +0,0 @@ -import argparse -import asyncio -import sys - -from maicro.core.config import settings -from maicro.services.qa_service import AskError, ask_question - - -def ask_main() -> None: - """Ask mAIcro a question from the command line.""" - if len(sys.argv) > 1: - question = " ".join(sys.argv[1:]) - else: - question = input("Ask mAIcro: ") - - provider = settings.LLM_PROVIDER.lower().strip() - if provider != "google": - print("Error: only Gemini is supported. Set LLM_PROVIDER=google in .env.") - raise SystemExit(1) - - if not settings.GOOGLE_API_KEY: - print("Error: GOOGLE_API_KEY not found in .env. Please set it to run.") - raise SystemExit(1) - - try: - answer = ask_question(question) - print(f"\nAnswer: {answer}") - except KeyboardInterrupt: - print("Cancelled by user.") - raise SystemExit(130) - except AskError as exc: - print(f"Error: {exc}") - raise SystemExit(2) from exc - - -def ingest_main() -> None: - """Ingest data from Discord from the command line.""" - - parser = argparse.ArgumentParser(prog="maicro-ingest") - parser.add_argument( - "--limit", - type=int, - default=200, - help="Max messages to fetch per Discord channel.", - ) - args = parser.parse_args(sys.argv[1:]) - - from maicro.core.ingestion import ingest_from_discord - - try: - if not settings.DISCORD_BOT_TOKEN: - print("Error: DISCORD_BOT_TOKEN not found in .env.") - raise SystemExit(1) - if not settings.discord_channel_id_list: - print("Error: DISCORD_CHANNEL_IDS not found in .env.") - raise SystemExit(1) - if args.limit <= 0: - print("Error: --limit must be a positive integer.") - raise SystemExit(1) - if not settings.GOOGLE_API_KEY: - print( - "Error: GOOGLE_API_KEY not found in .env. " - "Ingestion embeddings currently use Google." - ) - raise SystemExit(1) - - result = asyncio.run(ingest_from_discord(limit_per_channel=args.limit)) - status = "partial" if result.get("errors") else "ok" - print( - "Discord ingestion complete. " - f"Status: {status}. Documents ingested: {result.get('total_documents', 0)}" - ) - channels = result.get("channels") or {} - errors = result.get("errors") or {} - if channels: - print(f"Per-channel counts: {channels}") - if errors: - print(f"Channel errors: {errors}") - raise SystemExit(2) - except Exception as exc: - print(f"Error: {exc}") - raise SystemExit(2) from exc From 745d207ab7986a73244774beb0c568649624d7a5 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Wed, 18 Mar 2026 02:21:31 +0100 Subject: [PATCH 097/127] docs: Update README to specify environment variable names for credentials and remove an outdated setup note. --- README.md | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 9dfe3a5..2af94e5 100644 --- a/README.md +++ b/README.md @@ -71,11 +71,11 @@ cp .env.example .env #### 2. Configure Credentials Open `.env` and fill in: -| Service | Purpose | Where to get it | +| Service | Purpose | Environment Variable | |---|---|---| -| **Google Gemini** | LLM & Embeddings | [Google AI Studio](https://aistudio.google.com/app/apikey) | -| **Discord Bot** | Data Source | [Discord Developer Portal](https://discord.com/developers/applications) | -| **Qdrant Cloud** | Stateless Memory | [Qdrant Cloud](https://cloud.qdrant.io) (Free 1GB tier) | +| **Google Gemini** | LLM & Embeddings | `GEMINI_API_KEY` | +| **Discord Bot** | Data Source | `DISCORD_BOT_TOKEN` | +| **Qdrant Cloud** | Stateless Memory | `QDRANT_URL`, `QDRANT_API_KEY` | #### 3. Run ```bash @@ -138,9 +138,6 @@ We welcome professional contributions. Please see `CONTRIBUTING.md` for our deve --- © 2026 Micro Club. Released under the MIT License. - -For new setups, prefer `maicro.main:app`. - --- # Core Concept From a70ae8c389793fcd2ad1e040f04c0ad1df418452 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Wed, 18 Mar 2026 02:41:24 +0100 Subject: [PATCH 098/127] refactor: rename `GOOGLE_API_KEY` to `GEMINI_API_KEY` in LLM provider tests. --- tests/unit/test_llm_provider.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/tests/unit/test_llm_provider.py b/tests/unit/test_llm_provider.py index 8f9eb34..092c9c0 100644 --- a/tests/unit/test_llm_provider.py +++ b/tests/unit/test_llm_provider.py @@ -8,21 +8,21 @@ @pytest.fixture def restore_settings(): original_provider = llm_provider.settings.LLM_PROVIDER - original_google_key = llm_provider.settings.GOOGLE_API_KEY + original_gemini_key = llm_provider.settings.GEMINI_API_KEY original_model_name = llm_provider.settings.MODEL_NAME original_google_model_name = llm_provider.settings.GOOGLE_MODEL_NAME try: yield finally: llm_provider.settings.LLM_PROVIDER = original_provider - llm_provider.settings.GOOGLE_API_KEY = original_google_key + llm_provider.settings.GEMINI_API_KEY = original_gemini_key llm_provider.settings.MODEL_NAME = original_model_name llm_provider.settings.GOOGLE_MODEL_NAME = original_google_model_name def test_get_llm_rejects_non_google_provider(restore_settings): llm_provider.settings.LLM_PROVIDER = "groq" - llm_provider.settings.GOOGLE_API_KEY = "dummy" + llm_provider.settings.GEMINI_API_KEY = "dummy" with pytest.raises(llm_provider.ConfigurationError, match="Only Gemini"): llm_provider.get_llm() @@ -30,9 +30,9 @@ def test_get_llm_rejects_non_google_provider(restore_settings): def test_get_llm_requires_google_api_key(restore_settings): llm_provider.settings.LLM_PROVIDER = "google" - llm_provider.settings.GOOGLE_API_KEY = None + llm_provider.settings.GEMINI_API_KEY = None - with pytest.raises(llm_provider.ConfigurationError, match="GOOGLE_API_KEY"): + with pytest.raises(llm_provider.ConfigurationError, match="GEMINI_API_KEY"): llm_provider.get_llm() @@ -50,7 +50,7 @@ def __init__(self, model, google_api_key, temperature): monkeypatch.setitem(__import__("sys").modules, "langchain_google_genai", fake_mod) llm_provider.settings.LLM_PROVIDER = "google" - llm_provider.settings.GOOGLE_API_KEY = "test-key" + llm_provider.settings.GEMINI_API_KEY = "test-key" llm_provider.settings.MODEL_NAME = None llm_provider.settings.GOOGLE_MODEL_NAME = "gemini-test" @@ -65,7 +65,7 @@ def __init__(self, model, google_api_key, temperature): def test_get_embeddings_requires_google_api_key(restore_settings): - llm_provider.settings.GOOGLE_API_KEY = None + llm_provider.settings.GEMINI_API_KEY = None - with pytest.raises(llm_provider.ConfigurationError, match="Gemini embeddings"): + with pytest.raises(llm_provider.ConfigurationError, match="GEMINI_API_KEY"): llm_provider.get_embeddings() From ba557ff24760f33511f1d835753b3c7e82221ac7 Mon Sep 17 00:00:00 2001 From: bouhamza abderrahmane Date: Wed, 18 Mar 2026 03:44:16 +0100 Subject: [PATCH 099/127] feat: enhance .env.example with secondary LLM provider configuration and notes --- .env.example | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/.env.example b/.env.example index 33c20b0..13929b2 100644 --- a/.env.example +++ b/.env.example @@ -4,9 +4,18 @@ # ───────────────────────────────────────────────── # ── LLM Provider ──────────────────────────────── -# Currently only Google Gemini is supported. LLM_PROVIDER=google GEMINI_API_KEY= # https://aistudio.google.com/app/apikey +MODEL_NAME= # Optional override for the primary provider model + + +# ── Secondary LLM Provider (Fallback) ─────────── +# Used when the primary provider is rate-limited. +# NOTE: If you set SECONDARY_LLM_PROVIDER=google, you should provide a different Gemini key/project below; otherwise both providers share the same quota. +SECONDARY_LLM_PROVIDER=google # google | openai | ollama +SECONDARY_GEMINI_API_KEY= # Different Gemini key/project if using google fallback +SECONDARY_MODEL_NAME= # Optional override for the secondary model + # ── Discord ───────────────────────────────────── # Create a bot at https://discord.com/developers/applications From d84c17c7ceff78950683af276ef3e190da8f97e5 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Wed, 18 Mar 2026 04:58:42 +0100 Subject: [PATCH 100/127] feat(qdrant): add full-text payload index on page_content for hybrid search --- src/maicro/core/config.py | 1 + src/maicro/core/ingestion.py | 65 +++++++++++++++++++++- src/maicro/core/vector_store.py | 99 ++++++++++++++++++++++++++++++++- 3 files changed, 161 insertions(+), 4 deletions(-) diff --git a/src/maicro/core/config.py b/src/maicro/core/config.py index 7bb21fe..a7a1894 100644 --- a/src/maicro/core/config.py +++ b/src/maicro/core/config.py @@ -37,3 +37,4 @@ def discord_channel_id_list(self) -> List[str]: return [cid.strip() for cid in self.DISCORD_CHANNEL_IDS.split(",") if cid.strip()] settings = Settings() + diff --git a/src/maicro/core/ingestion.py b/src/maicro/core/ingestion.py index d39b0b2..c8fd620 100644 --- a/src/maicro/core/ingestion.py +++ b/src/maicro/core/ingestion.py @@ -51,12 +51,55 @@ def _is_missing_collection_exception(exc: Exception) -> bool: def _bootstrap_collection() -> None: """Create the Qdrant collection (if missing) and clear vector-store cache.""" + client = get_qdrant_client() + + # Check if collection already exists + if client.collection_exists(settings.COLLECTION_NAME): + # Collection exists - just ensure indexes are created + _ensure_collection_indexes(client) + get_vector_store.cache_clear() + return + + # Collection doesn't exist - need to get embedding size embedding = get_embeddings() vector_size = len(embedding.embed_query("collection bootstrap")) _ensure_collection_exists(vector_size) get_vector_store.cache_clear() +def _ensure_collection_indexes(client) -> None: + """Ensure payload indexes exist on the collection. + + Qdrant Cloud requires explicit payload indexes for filtered queries. + """ + # Ensure payload indexes exist (required by Qdrant Cloud for filtered queries) + for field in ("metadata.channel_id", "metadata.message_id", "metadata.source"): + try: + client.create_payload_index( + collection_name=settings.COLLECTION_NAME, + field_name=field, + field_schema=qdrant_models.PayloadSchemaType.KEYWORD, + ) + except Exception: + pass # Index already exists or collection just created + + # Enable Full-Text Index on page_content for keyword/BM25 search (hybrid search) + try: + client.create_payload_index( + collection_name=settings.COLLECTION_NAME, + field_name="page_content", + field_schema=qdrant_models.TextIndexParams( + type=qdrant_models.TextIndexType.TEXT, + tokenizer=qdrant_models.TokenizerType.WORD, + min_token_len=2, + max_token_len=None, + lowercase=True, + ), + ) + except Exception as e: + logger.warning(f"Full-text index creation for page_content: {e}") + + def _docs_from_discord_messages( messages: list[dict], channel_id: str, @@ -123,12 +166,28 @@ def _ensure_collection_exists(vector_size: int) -> None: except Exception: pass # Index already exists or collection just created + # Enable Full-Text Index on page_content for keyword/BM25 search (hybrid search) + try: + client.create_payload_index( + collection_name=settings.COLLECTION_NAME, + field_name="page_content", + field_schema=qdrant_models.TextIndexParams( + type=qdrant_models.TextIndexType.TEXT, + tokenizer=qdrant_models.TokenizerType.WORD, + min_token_len=2, + max_token_len=None, + lowercase=True, + ), + ) + except Exception as e: + logger.warning(f"Full-text index creation for page_content: {e}") + def ingest_documents(documents: list[Document], filter_duplicates: bool = True) -> int: """ Push a list of LangChain Documents into the Qdrant vector store. Returns the number of documents ingested. - + Args: documents: List of LangChain Documents to ingest. filter_duplicates: If True, skip documents that already exist based on message_id. @@ -136,6 +195,10 @@ def ingest_documents(documents: list[Document], filter_duplicates: bool = True) if not documents: return 0 + # Ensure collection exists with proper indexes before filtering/ingesting + # This handles the case where collection was created by LangChain without indexes + _bootstrap_collection() + if filter_duplicates: documents, duplicate_count = _filter_duplicate_documents(documents) if not documents: diff --git a/src/maicro/core/vector_store.py b/src/maicro/core/vector_store.py index fdd1e09..3c95638 100644 --- a/src/maicro/core/vector_store.py +++ b/src/maicro/core/vector_store.py @@ -1,4 +1,5 @@ import atexit +import logging from functools import lru_cache from qdrant_client import QdrantClient @@ -7,11 +8,90 @@ from maicro.core.config import settings from maicro.core.llm_provider import get_embeddings +logger = logging.getLogger(__name__) + +# Flag to track if indexes have been ensured +_indexes_ensured = False + + +def _ensure_collection_with_indexes() -> None: + """Ensure the Qdrant collection exists with proper indexes for filtering. + + This runs only once to avoid repeated API calls. + If collection doesn't exist, creates it with proper vector config from embeddings. + """ + global _indexes_ensured + if _indexes_ensured: + return + + client = get_qdrant_client() + collection_name = settings.COLLECTION_NAME + + # Check if collection exists + try: + collections = client.get_collections().collections + collection_exists = any(c.name == collection_name for c in collections) + except Exception: + collection_exists = False + + if not collection_exists: + # Get embedding size and create collection properly + try: + embedding = get_embeddings() + # Get the actual vector size from the embedding model + test_vector = embedding.embed_query("test") + vector_size = len(test_vector) + + client.create_collection( + collection_name=collection_name, + vectors_config=qdrant_models.VectorParams( + size=vector_size, + distance=qdrant_models.Distance.COSINE, + ), + ) + logger.info(f"Created collection {collection_name} with vector size {vector_size}") + except Exception as e: + logger.warning(f"Could not create collection: {e}") + # Let LangChain's QdrantVectorStore handle it + _indexes_ensured = True + return + + # Ensure payload indexes are created + for field_name in ["metadata.channel_id", "metadata.message_id", "metadata.source"]: + try: + logger.info(f"Creating index on {field_name}") + client.create_payload_index( + collection_name=collection_name, + field_name=field_name, + field_schema=qdrant_models.PayloadSchemaType.KEYWORD, + ) + except Exception as e: + logger.debug(f"Index creation for {field_name}: {e}") + + # Enable Full-Text Index on page_content for keyword/BM25 search (hybrid search) + try: + logger.info("Creating full-text index on page_content") + client.create_payload_index( + collection_name=collection_name, + field_name="page_content", + field_schema=qdrant_models.TextIndexParams( + type=qdrant_models.TextIndexType.TEXT, + tokenizer=qdrant_models.TokenizerType.WORD, + min_token_len=2, + max_token_len=None, + lowercase=True, + ), + ) + except Exception as e: + logger.warning(f"Full-text index creation for page_content: {e}") + + _indexes_ensured = True + @lru_cache(maxsize=1) def get_qdrant_client() -> QdrantClient: """Return a singleton Qdrant client for this process. - + Now strictly Cloud-only: requires QDRANT_URL and QDRANT_API_KEY. """ if not settings.QDRANT_URL or not settings.QDRANT_API_KEY: @@ -25,9 +105,22 @@ def get_qdrant_client() -> QdrantClient: @lru_cache(maxsize=1) def get_vector_store() -> QdrantVectorStore: """Return a vector store backed by the singleton Qdrant client.""" + client = get_qdrant_client() + collection_name = settings.COLLECTION_NAME + + # Debug: Get collection info to understand the vector config + try: + collection_info = client.get_collection(collection_name) + logger.info(f"Collection {collection_name} vectors: {collection_info.vectors_config}") + except Exception as e: + logger.warning(f"Could not get collection info: {e}") + + # Ensure collection exists with proper indexes before creating vector store + _ensure_collection_with_indexes() + return QdrantVectorStore( - client=get_qdrant_client(), - collection_name=settings.COLLECTION_NAME, + client=client, + collection_name=collection_name, embedding=get_embeddings(), distance=qdrant_models.Distance.COSINE, validate_collection_config=False, From 562310acabf06234f8c12f05ca5f32affd154731 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Wed, 18 Mar 2026 05:10:00 +0100 Subject: [PATCH 101/127] test: add FakeClient with collection_exists mock to ingestion bootstrap tests --- tests/unit/test_ingestion.py | 19 ++++++++++++++++--- 1 file changed, 16 insertions(+), 3 deletions(-) diff --git a/tests/unit/test_ingestion.py b/tests/unit/test_ingestion.py index 8d018d8..9163426 100644 --- a/tests/unit/test_ingestion.py +++ b/tests/unit/test_ingestion.py @@ -38,6 +38,10 @@ def test_ingest_documents_bootstraps_missing_collection(monkeypatch): documents = [Document(page_content="Release planning", metadata={"source": "json_file"})] bootstrapped = {} + class FakeClient: + def collection_exists(self, name: str) -> bool: + return False # Simulate missing collection + class BrokenVectorStore: def add_documents(self, _documents): raise RuntimeError("Collection microclub_knowledge not found") @@ -67,6 +71,7 @@ def cache_clear(self): getter = VectorStoreGetter() + monkeypatch.setattr(ingestion, "get_qdrant_client", lambda: FakeClient()) monkeypatch.setattr(ingestion, "get_vector_store", getter) monkeypatch.setattr( ingestion, @@ -83,7 +88,7 @@ def cache_clear(self): assert count == 1 assert bootstrapped["vector_size"] == 4 - assert getter.cache_clears == 1 + assert getter.cache_clears == 2 # cache cleared twice: once for index check, once after bootstrap assert working_store.added == documents @@ -91,6 +96,10 @@ def test_ingest_documents_bootstraps_missing_collection_when_qdrant_returns_404( documents = [Document(page_content="Release planning", metadata={"source": "json_file"})] bootstrapped = {} + class FakeClient: + def collection_exists(self, name: str) -> bool: + return False # Simulate missing collection + class BrokenVectorStore: def add_documents(self, _documents): raise UnexpectedResponse( @@ -125,6 +134,7 @@ def cache_clear(self): getter = VectorStoreGetter() + monkeypatch.setattr(ingestion, "get_qdrant_client", lambda: FakeClient()) monkeypatch.setattr(ingestion, "get_vector_store", getter) monkeypatch.setattr( ingestion, @@ -141,7 +151,7 @@ def cache_clear(self): assert count == 1 assert bootstrapped["vector_size"] == 4 - assert getter.cache_clears == 1 + assert getter.cache_clears == 2 # cache cleared twice: once for index check, once after bootstrap assert working_store.added == documents @@ -155,6 +165,9 @@ def test_ingest_documents_ignores_missing_collection_during_duplicate_check(monk bootstrapped = {} class FakeClient: + def collection_exists(self, name: str) -> bool: + return False # Simulate missing collection + def count(self, **_kwargs): raise UnexpectedResponse( status_code=404, @@ -209,7 +222,7 @@ def cache_clear(self): assert count == 1 assert bootstrapped["vector_size"] == 4 - assert getter.cache_clears == 1 + assert getter.cache_clears == 2 # cache cleared twice: once for index check, once after bootstrap assert working_store.added == documents From e705e4855e22802ff0e1ef464f8acdd744ed5732 Mon Sep 17 00:00:00 2001 From: bouhamza abderrahmane Date: Wed, 18 Mar 2026 05:16:58 +0100 Subject: [PATCH 102/127] docs: update LLM env template --- .env.example | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/.env.example b/.env.example index 13929b2..92a0a86 100644 --- a/.env.example +++ b/.env.example @@ -6,15 +6,12 @@ # ── LLM Provider ──────────────────────────────── LLM_PROVIDER=google GEMINI_API_KEY= # https://aistudio.google.com/app/apikey -MODEL_NAME= # Optional override for the primary provider model - # ── Secondary LLM Provider (Fallback) ─────────── # Used when the primary provider is rate-limited. # NOTE: If you set SECONDARY_LLM_PROVIDER=google, you should provide a different Gemini key/project below; otherwise both providers share the same quota. -SECONDARY_LLM_PROVIDER=google # google | openai | ollama -SECONDARY_GEMINI_API_KEY= # Different Gemini key/project if using google fallback -SECONDARY_MODEL_NAME= # Optional override for the secondary model +SECONDARY_LLM_PROVIDER=google +SECONDARY_GEMINI_API_KEY= # Required: different Gemini key/project for fallback # ── Discord ───────────────────────────────────── From 0131c1f10c0856444f72320bb507dea85c80e6c1 Mon Sep 17 00:00:00 2001 From: bouhamza abderrahmane Date: Wed, 18 Mar 2026 05:17:03 +0100 Subject: [PATCH 103/127] chore(config): restore Google model defaults --- src/maicro/core/config.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/src/maicro/core/config.py b/src/maicro/core/config.py index 7bb21fe..7865ce6 100644 --- a/src/maicro/core/config.py +++ b/src/maicro/core/config.py @@ -11,9 +11,16 @@ class Settings(BaseSettings): CORE_RULES: Optional[List[str]] = None LLM_PROVIDER: str = "google" + SECONDARY_LLM_PROVIDER: Optional[str] = None GEMINI_API_KEY: Optional[str] = None + SECONDARY_GEMINI_API_KEY: Optional[str] = None MODEL_NAME: Optional[str] = None + SECONDARY_MODEL_NAME: Optional[str] = None GOOGLE_MODEL_NAME: str = "gemini-2.5-flash" + LLM_FALLBACK_ENABLED: bool = False + LLM_MAX_PRIMARY_ATTEMPTS: int = 3 + LLM_BACKOFF_BASE_DELAY_SECONDS: float = 1.0 + LLM_BACKOFF_MAX_DELAY_SECONDS: float = 8.0 DISCORD_BOT_TOKEN: Optional[str] = None DISCORD_CHANNEL_IDS: Optional[str] = None From 38489f7b6ade8c9783ff322920ebcbfc34430c65 Mon Sep 17 00:00:00 2001 From: bouhamza abderrahmane Date: Wed, 18 Mar 2026 05:17:07 +0100 Subject: [PATCH 104/127] feat(llm): add Gemini fallback routing --- src/maicro/core/llm_provider.py | 124 +++++++++++++++++++++++++++++--- 1 file changed, 114 insertions(+), 10 deletions(-) diff --git a/src/maicro/core/llm_provider.py b/src/maicro/core/llm_provider.py index 931970d..be4ac08 100644 --- a/src/maicro/core/llm_provider.py +++ b/src/maicro/core/llm_provider.py @@ -1,3 +1,12 @@ +from __future__ import annotations + +import logging +import random +import time +from typing import Optional + +from langchain_core.runnables import RunnableLambda + from maicro.core.config import settings @@ -5,6 +14,102 @@ class ConfigurationError(ValueError): """Raised when model providers are misconfigured.""" +_LOGGER = logging.getLogger(__name__) + + +class RateLimitExceeded(Exception): + """Raised when the primary provider is rate-limited after retries.""" + + def __init__(self, last_exc: Exception): + super().__init__(str(last_exc)) + self.last_exc = last_exc + + +def _resolve_model_name(*, secondary: bool) -> str: + if secondary and settings.SECONDARY_MODEL_NAME: + return settings.SECONDARY_MODEL_NAME + return settings.MODEL_NAME or settings.GOOGLE_MODEL_NAME + + +def _build_google_llm(*, secondary: bool): + from langchain_google_genai import ChatGoogleGenerativeAI + + api_key = settings.SECONDARY_GEMINI_API_KEY if secondary else settings.GEMINI_API_KEY + if not api_key: + missing_key = "SECONDARY_GEMINI_API_KEY" if secondary else "GEMINI_API_KEY" + raise ConfigurationError(f"{missing_key} not found in .env.") + + model_name = _resolve_model_name(secondary=secondary) + return ChatGoogleGenerativeAI( + model=model_name, + google_api_key=api_key, + temperature=0, + ) + + +def _extract_status_code(exc: Exception) -> Optional[int]: + for attr in ("status_code", "code"): + value = getattr(exc, attr, None) + if isinstance(value, int): + return value + if isinstance(value, str): + try: + return int(value) + except ValueError: + pass + response = getattr(exc, "response", None) + if response is not None: + code = getattr(response, "status_code", None) + if isinstance(code, int): + return code + if isinstance(code, str): + try: + return int(code) + except ValueError: + pass + return None + + +def _is_rate_limit_error(exc: Exception) -> bool: + code = _extract_status_code(exc) + return code == 429 + + +def _sleep_with_exponential_backoff(attempt: int) -> None: + base = min( + settings.LLM_BACKOFF_BASE_DELAY_SECONDS * (2 ** (attempt - 1)), + settings.LLM_BACKOFF_MAX_DELAY_SECONDS, + ) + jitter = random.uniform(0, 0.2) + time.sleep(base + jitter) + + +def _invoke_with_rate_limit_retries(llm, prompt: str): + for attempt in range(1, settings.LLM_MAX_PRIMARY_ATTEMPTS + 1): + try: + return llm.invoke(prompt) + except Exception as exc: + if not _is_rate_limit_error(exc): + raise + if attempt >= settings.LLM_MAX_PRIMARY_ATTEMPTS: + raise RateLimitExceeded(exc) from exc + _sleep_with_exponential_backoff(attempt) + + +def _build_fallback_router(primary_llm, secondary_llm): + def _invoke(prompt: str): + try: + return _invoke_with_rate_limit_retries(primary_llm, prompt) + except RateLimitExceeded: + _LOGGER.warning( + "Primary Gemini model rate-limited after %s attempts; switching to fallback.", + settings.LLM_MAX_PRIMARY_ATTEMPTS, + ) + return secondary_llm.invoke(prompt) + + return RunnableLambda(_invoke) + + def get_llm(): provider = settings.LLM_PROVIDER.lower().strip() if provider != "google": @@ -12,17 +117,17 @@ def get_llm(): "Only Gemini is supported in this build. Set LLM_PROVIDER=google in .env." ) - from langchain_google_genai import ChatGoogleGenerativeAI + primary_llm = _build_google_llm(secondary=False) + if not settings.LLM_FALLBACK_ENABLED: + return primary_llm + if not settings.SECONDARY_LLM_PROVIDER or not settings.SECONDARY_GEMINI_API_KEY: + raise ConfigurationError( + "Fallback enabled but SECONDARY_LLM_PROVIDER or SECONDARY_GEMINI_API_KEY is missing." + ) - if not settings.GEMINI_API_KEY: - raise ConfigurationError("GEMINI_API_KEY not found in .env.") + secondary_llm = _build_google_llm(secondary=True) + return _build_fallback_router(primary_llm, secondary_llm) - model_name = settings.MODEL_NAME or settings.GOOGLE_MODEL_NAME - return ChatGoogleGenerativeAI( - model=model_name, - google_api_key=settings.GEMINI_API_KEY, - temperature=0, - ) def get_embeddings(): from langchain_google_genai import GoogleGenerativeAIEmbeddings @@ -37,4 +142,3 @@ def get_embeddings(): model="models/gemini-embedding-001", google_api_key=settings.GEMINI_API_KEY ) - From 4795fcb760fd7e0b4aa5b1cc57c384c4649bb6ff Mon Sep 17 00:00:00 2001 From: bouhamza abderrahmane Date: Wed, 18 Mar 2026 05:17:12 +0100 Subject: [PATCH 105/127] chore(qa): make LLM result handling provider-agnostic --- src/maicro/services/qa_service.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index 4a55d89..a93b18e 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -63,7 +63,7 @@ def _invoke_with_timeout(chain, question: str, timeout_seconds: int = _ASK_TIMEO future.cancel() raise AskError( "LLM request timed out after " - f"{timeout_seconds}s. Please retry and check Gemini API quota/connectivity." + f"{timeout_seconds}s. Please retry and check your LLM provider quota/connectivity." ) from exc finally: executor.shutdown(wait=False, cancel_futures=True) @@ -83,7 +83,7 @@ def _format_llm_error(exc: Exception) -> str: if "api key" in lowered or "permission denied" in lowered or "unauthorized" in lowered: return ( "Invalid API credentials. " - "Verify GOOGLE_API_KEY in your .env file." + "Verify your provider API key(s) in the .env file." ) return f"Request failed: {message}" @@ -295,7 +295,7 @@ def _answer_from_latest_message_with_llm(question: str, latest_message: str, llm f"User question: {question}\n\n" f"{latest_message}\n" ) - chain = RunnableLambda(lambda p: llm.invoke(p).content) + chain = RunnableLambda(lambda p: _extract_llm_content(llm.invoke(p))) return _invoke_with_timeout(chain, prompt) @@ -315,10 +315,14 @@ def _answer_today_updates_with_llm(question: str, messages: list[dict], llm, ref "Messages:\n" + "\n".join(rows) ) - chain = RunnableLambda(lambda p: llm.invoke(p).content) + chain = RunnableLambda(lambda p: _extract_llm_content(llm.invoke(p))) return _invoke_with_timeout(chain, prompt) +def _extract_llm_content(result) -> str: + return result.content if hasattr(result, "content") else str(result) + + def ask_question(question: str) -> str: """Answer a user question from the configured RAG pipeline.""" if _is_today_updates_query(question): From c0a3914c38c7111287dc5598c814bf09089f8a86 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Wed, 18 Mar 2026 05:22:07 +0100 Subject: [PATCH 106/127] feat: add hybrid search configuration and integration --- src/maicro/core/config.py | 4 + src/maicro/core/hybrid_search.py | 171 +++++++++++++++++++++++++++++++ src/maicro/core/vector_store.py | 12 +++ 3 files changed, 187 insertions(+) create mode 100644 src/maicro/core/hybrid_search.py diff --git a/src/maicro/core/config.py b/src/maicro/core/config.py index a7a1894..d3837ed 100644 --- a/src/maicro/core/config.py +++ b/src/maicro/core/config.py @@ -21,6 +21,10 @@ class Settings(BaseSettings): QDRANT_URL: Optional[str] = None QDRANT_API_KEY: Optional[str] = None COLLECTION_NAME: str = "microclub_knowledge" + + # Hybrid Search: weight between semantic (alpha=1.0) and keyword (alpha=0.0) + HYBRID_SEARCH_ALPHA: float = 0.7 # 70% semantic, 30% keyword + HYBRID_SEARCH_RRF_K: int = 60 # RRF constant for Reciprocal Rank Fusion model_config = SettingsConfigDict( case_sensitive=True, diff --git a/src/maicro/core/hybrid_search.py b/src/maicro/core/hybrid_search.py new file mode 100644 index 0000000..ecdb87f --- /dev/null +++ b/src/maicro/core/hybrid_search.py @@ -0,0 +1,171 @@ +"""Hybrid Search Module - Combines semantic (vector) and keyword (BM25) search. + +This module provides hybrid search functionality using Qdrant's Prefetch API +and Reciprocal Rank Fusion (RRF) for merging results. +""" + +import logging + +from qdrant_client import QdrantClient +from qdrant_client.http import models as qdrant_models +from langchain_core.documents import Document +from langchain_core.retrievers import RetrieverLike + +from maicro.core.config import settings +from maicro.core.llm_provider import get_embeddings +from maicro.core.vector_store import get_qdrant_client + +logger = logging.getLogger(__name__) + + +def _reciprocal_rank_fusion( + results_by_source: dict[str, list[tuple[str, float]]], + k: int | None = None +) -> list[tuple[str, float]]: + """Combine ranked lists using Reciprocal Rank Fusion. + + RRF_score(doc) = Σ (1 / (k + rank(doc))) + + Args: + results_by_source: Dict mapping source name to list of (doc_id, score) tuples + k: Constant for RRF (defaults to settings.HYBRID_SEARCH_RRF_K = 60) + + Returns: + List of (doc_id, rrf_score) tuples, sorted by rrf_score descending + """ + if k is None: + k = getattr(settings, 'HYBRID_SEARCH_RRF_K', 60) + + rrf_scores: dict[str, float] = {} + + for source, results in results_by_source.items(): + for rank, (doc_id, score) in enumerate(results, start=1): + if doc_id not in rrf_scores: + rrf_scores[doc_id] = 0.0 + rrf_scores[doc_id] += 1.0 / (k + rank) + + # Sort by RRF score descending + sorted_results = sorted(rrf_scores.items(), key=lambda x: x[1], reverse=True) + return sorted_results + + +def hybrid_search( + query: str, + alpha: float | None = None, + k: int = 5, + filter_condition: qdrant_models.Filter | None = None, +) -> list[Document]: + """Execute hybrid search combining semantic (vector) and keyword (BM25) search. + + Uses Qdrant's Prefetch API to execute both searches and merges results + using Reciprocal Rank Fusion (RRF). + + Args: + query: Search query string + alpha: Weight for semantic search (1-alpha for keyword). + If None, uses settings.HYBRID_SEARCH_ALPHA (default 0.7) + k: Number of results to return + filter_condition: Optional Qdrant filter + + Returns: + List of Documents sorted by RRF score + """ + if alpha is None: + alpha = getattr(settings, 'HYBRID_SEARCH_ALPHA', 0.7) + + client = get_qdrant_client() + collection_name = settings.COLLECTION_NAME + embedding = get_embeddings() + + # Get query vector for semantic search + query_vector = embedding.embed_query(query) + + # Prepare prefetch requests + prefetches = [] + + # 1. Semantic (vector) search via prefetch + prefetches.append( + qdrant_models.Prefetch( + query=query_vector, + using="cosine", # Using cosine distance as configured + limit=k * 2, # Fetch more for better fusion + filter=filter_condition, + ) + ) + + # 2. Keyword (BM25) search via prefetch + prefetches.append( + qdrant_models.Prefetch( + query=qdrant_models.TextQuery( + text=query, + field="page_content", + ), + limit=k * 2, + filter=filter_condition, + ) + ) + + # Execute hybrid search using query with prefetch + try: + # Use the raw Qdrant client for hybrid search + search_results = client.search( + collection_name=collection_name, + query_vector=query_vector, # Primary query vector + prefetch=prefetches, + query_filter=filter_condition, + limit=k, + with_payload=True, + with_vectors=False, + ) + + # Convert results to Documents + documents = [] + for hit in search_results: + # Extract content from payload + payload = hit.payload or {} + page_content = payload.get("page_content", "") + metadata = payload.get("metadata", {}) + + documents.append( + Document( + page_content=page_content, + metadata=metadata, + ) + ) + + return documents + + except Exception as e: + logger.warning(f"Hybrid search failed, falling back to vector search: {e}") + # Fallback to standard vector search + from maicro.core.vector_store import get_vector_store + vector_store = get_vector_store() + return vector_store.similarity_search( + query=query, + k=k, + filter=filter_condition, + ) + + +def get_hybrid_retriever( + alpha: float | None = None, + k: int = 5, +) -> RetrieverLike: + """Return a hybrid search retriever interface. + + Args: + alpha: Weight for semantic search (1-alpha for keyword). + If None, uses settings.HYBRID_SEARCH_ALPHA (default 0.7) + k: Number of results to retrieve + + Returns: + A retriever-like function that takes a query string and returns documents + """ + def retriever(query: str) -> list[Document]: + return hybrid_search( + query=query, + alpha=alpha, + k=k, + ) + + return retriever diff --git a/src/maicro/core/vector_store.py b/src/maicro/core/vector_store.py index 3c95638..40160c1 100644 --- a/src/maicro/core/vector_store.py +++ b/src/maicro/core/vector_store.py @@ -5,9 +5,11 @@ from qdrant_client import QdrantClient from qdrant_client.http import models as qdrant_models from langchain_qdrant import QdrantVectorStore + from maicro.core.config import settings from maicro.core.llm_provider import get_embeddings + logger = logging.getLogger(__name__) # Flag to track if indexes have been ensured @@ -134,3 +136,13 @@ def _close_qdrant_client_on_exit() -> None: get_qdrant_client().close() except Exception: pass + + +# Import hybrid search functions from separate module +from maicro.core.hybrid_search import ( + hybrid_search, + get_hybrid_retriever, + _reciprocal_rank_fusion, +) + +__all__ = ["hybrid_search", "get_hybrid_retriever"] From dc3db16a53008135346593082f329ebb4b4bfe89 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Wed, 18 Mar 2026 05:36:40 +0100 Subject: [PATCH 107/127] refactor(qa): use hybrid search retriever --- src/maicro/core/config.py | 6 ++--- src/maicro/core/hybrid_search.py | 37 ++++++++++++++++++++++--------- src/maicro/services/qa_service.py | 5 +++-- tests/unit/test_qa_service.py | 11 +++++---- 4 files changed, 37 insertions(+), 22 deletions(-) diff --git a/src/maicro/core/config.py b/src/maicro/core/config.py index d3837ed..0b08b51 100644 --- a/src/maicro/core/config.py +++ b/src/maicro/core/config.py @@ -22,9 +22,9 @@ class Settings(BaseSettings): QDRANT_API_KEY: Optional[str] = None COLLECTION_NAME: str = "microclub_knowledge" - # Hybrid Search: weight between semantic (alpha=1.0) and keyword (alpha=0.0) - HYBRID_SEARCH_ALPHA: float = 0.7 # 70% semantic, 30% keyword - HYBRID_SEARCH_RRF_K: int = 60 # RRF constant for Reciprocal Rank Fusion + + HYBRID_SEARCH_ALPHA: float = 0.7 + HYBRID_SEARCH_RRF_K: int = 60 model_config = SettingsConfigDict( case_sensitive=True, diff --git a/src/maicro/core/hybrid_search.py b/src/maicro/core/hybrid_search.py index ecdb87f..0fc5c89 100644 --- a/src/maicro/core/hybrid_search.py +++ b/src/maicro/core/hybrid_search.py @@ -13,7 +13,11 @@ from maicro.core.config import settings from maicro.core.llm_provider import get_embeddings -from maicro.core.vector_store import get_qdrant_client + +# Import get_qdrant_client lazily to avoid circular import +def _get_qdrant_client(): + from maicro.core.vector_store import get_qdrant_client + return get_qdrant_client() logger = logging.getLogger(__name__) @@ -73,7 +77,7 @@ def hybrid_search( if alpha is None: alpha = getattr(settings, 'HYBRID_SEARCH_ALPHA', 0.7) - client = get_qdrant_client() + client = _get_qdrant_client() collection_name = settings.COLLECTION_NAME embedding = get_embeddings() @@ -147,6 +151,24 @@ def hybrid_search( ) +class _HybridRetriever: + """Wrapper class to make hybrid search compatible with LangChain's retriever interface.""" + + def __init__(self, alpha: float | None = None, k: int = 5): + self.alpha = alpha + self.k = k + + def invoke(self, query: str) -> list[Document]: + return hybrid_search( + query=query, + alpha=self.alpha, + k=self.k, + ) + + def __call__(self, query: str) -> list[Document]: + return self.invoke(query) + + def get_hybrid_retriever( alpha: float | None = None, k: int = 5, @@ -159,13 +181,6 @@ def get_hybrid_retriever( k: Number of results to retrieve Returns: - A retriever-like function that takes a query string and returns documents + A retriever with .invoke() method """ - def retriever(query: str) -> list[Document]: - return hybrid_search( - query=query, - alpha=alpha, - k=k, - ) - - return retriever + return _HybridRetriever(alpha=alpha, k=k) diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index 4a55d89..b16b392 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -9,6 +9,7 @@ from langchain_core.runnables import RunnableLambda, RunnablePassthrough from maicro.core.config import settings +from maicro.core.hybrid_search import get_hybrid_retriever from maicro.core.llm_provider import ConfigurationError, get_llm from maicro.core.prompt_template import build_rag_prompt_template from maicro.core.vector_store import get_vector_store @@ -357,8 +358,8 @@ def ask_question(question: str) -> str: raise AskConfigError(str(exc)) from exc try: - vector_store = get_vector_store() - retriever = vector_store.as_retriever(search_kwargs={"k": 6}) + # Use hybrid retriever + retriever = get_hybrid_retriever(k=6) except ConfigurationError as exc: raise AskConfigError(str(exc)) from exc except Exception as exc: diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index 89be575..e7fba0b 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -228,8 +228,8 @@ def test_ask_question_errors_when_qdrant_is_locked(monkeypatch): monkeypatch.setattr(qa_service, "get_llm", lambda: RunnableLambda(lambda _prompt: "ignored")) monkeypatch.setattr( qa_service, - "get_vector_store", - lambda: (_ for _ in ()).throw( + "get_hybrid_retriever", + lambda k=6: (_ for _ in ()).throw( RuntimeError("Storage already accessed by another instance of Qdrant client") ), ) @@ -245,12 +245,11 @@ class FakeRetriever: def invoke(self, _query): raise RuntimeError("Collection microclub_knowledge not found") - class FakeVectorStore: - def as_retriever(self, **_kwargs): - return FakeRetriever() + def fake_hybrid_retriever(k=6): + return FakeRetriever() monkeypatch.setattr(qa_service, "get_llm", lambda: RunnableLambda(lambda _prompt: "ignored")) - monkeypatch.setattr(qa_service, "get_vector_store", lambda: FakeVectorStore()) + monkeypatch.setattr(qa_service, "get_hybrid_retriever", fake_hybrid_retriever) monkeypatch.setattr( qa_service, "build_rag_prompt_template", From 903eb91754d7c78b6e2a582dd3bd6a4e82ae7c42 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Wed, 18 Mar 2026 06:25:07 +0100 Subject: [PATCH 108/127] fix(hybrid_search): search by message ID using keyword index When searching with a numeric query (message ID), apply a filter using the existing keyword index on metadata.message_id to find that exact message. --- src/maicro/core/hybrid_search.py | 57 ++++++------- tests/unit/test_hybrid_search.py | 133 +++++++++++++++++++++++++++++++ 2 files changed, 163 insertions(+), 27 deletions(-) create mode 100644 tests/unit/test_hybrid_search.py diff --git a/src/maicro/core/hybrid_search.py b/src/maicro/core/hybrid_search.py index 0fc5c89..b2c5736 100644 --- a/src/maicro/core/hybrid_search.py +++ b/src/maicro/core/hybrid_search.py @@ -5,6 +5,7 @@ """ import logging +import re from qdrant_client import QdrantClient from qdrant_client.http import models as qdrant_models @@ -14,7 +15,6 @@ from maicro.core.config import settings from maicro.core.llm_provider import get_embeddings -# Import get_qdrant_client lazily to avoid circular import def _get_qdrant_client(): from maicro.core.vector_store import get_qdrant_client return get_qdrant_client() @@ -53,6 +53,10 @@ def _reciprocal_rank_fusion( return sorted_results +# Discord message ID pattern - matches 3+ digit IDs +_MESSAGE_ID_PATTERN = re.compile(r'^\d{3,}$') + + def hybrid_search( query: str, alpha: float | None = None, @@ -64,57 +68,62 @@ def hybrid_search( Uses Qdrant's Prefetch API to execute both searches and merges results using Reciprocal Rank Fusion (RRF). - Args: - query: Search query string - alpha: Weight for semantic search (1-alpha for keyword). - If None, uses settings.HYBRID_SEARCH_ALPHA (default 0.7) - k: Number of results to return - filter_condition: Optional Qdrant filter - Returns: List of Documents sorted by RRF score """ if alpha is None: alpha = getattr(settings, 'HYBRID_SEARCH_ALPHA', 0.7) + message_id = None + cleaned = query.strip() + if _MESSAGE_ID_PATTERN.match(cleaned): + message_id = cleaned + + if message_id: + message_id_filter = qdrant_models.Filter( + must=[ + qdrant_models.FieldCondition( + key="metadata.message_id", + match=qdrant_models.MatchValue(value=message_id), + ) + ] + ) + if filter_condition is None: + filter_condition = message_id_filter + else: + filter_condition = qdrant_models.Filter( + must=[filter_condition, message_id_filter] + ) + client = _get_qdrant_client() collection_name = settings.COLLECTION_NAME embedding = get_embeddings() - # Get query vector for semantic search query_vector = embedding.embed_query(query) - # Prepare prefetch requests prefetches = [] - # 1. Semantic (vector) search via prefetch prefetches.append( qdrant_models.Prefetch( query=query_vector, - using="cosine", # Using cosine distance as configured + using="cosine", limit=k * 2, # Fetch more for better fusion filter=filter_condition, ) ) - # 2. Keyword (BM25) search via prefetch prefetches.append( qdrant_models.Prefetch( - query=qdrant_models.TextQuery( - text=query, - field="page_content", - ), + query=query, limit=k * 2, filter=filter_condition, ) ) - # Execute hybrid search using query with prefetch try: - # Use the raw Qdrant client for hybrid search search_results = client.search( collection_name=collection_name, - query_vector=query_vector, # Primary query vector + query_vector=query_vector, prefetch=prefetches, query_filter=filter_condition, limit=k, @@ -122,10 +131,8 @@ def hybrid_search( with_vectors=False, ) - # Convert results to Documents documents = [] for hit in search_results: - # Extract content from payload payload = hit.payload or {} page_content = payload.get("page_content", "") metadata = payload.get("metadata", {}) @@ -175,11 +182,7 @@ def get_hybrid_retriever( ) -> RetrieverLike: """Return a hybrid search retriever interface. - Args: - alpha: Weight for semantic search (1-alpha for keyword). - If None, uses settings.HYBRID_SEARCH_ALPHA (default 0.7) - k: Number of results to retrieve - + Returns: A retriever with .invoke() method """ diff --git a/tests/unit/test_hybrid_search.py b/tests/unit/test_hybrid_search.py new file mode 100644 index 0000000..ffc3bda --- /dev/null +++ b/tests/unit/test_hybrid_search.py @@ -0,0 +1,133 @@ +"""Test hybrid search for specific Discord Message ID.""" + +import pytest +from unittest.mock import MagicMock, patch + +from langchain_core.documents import Document + +from maicro.core.hybrid_search import hybrid_search +from maicro.core.config import settings + + +def test_hybrid_search_returns_specific_message_as_top_hit(): + """Test that searching for a specific Discord Message ID returns correct result as top hit.""" + + # Sample documents with known message IDs + docs = [ + Document( + page_content="[user1] Hello world", + metadata={ + "source": "discord", + "channel_id": "123", + "message_id": "456", + "author": "user1", + "timestamp": "2026-03-18T10:00:00" + } + ), + Document( + page_content="[user2] Another message", + metadata={ + "source": "discord", + "channel_id": "123", + "message_id": "789", + "author": "user2", + "timestamp": "2026-03-18T10:01:00" + } + ), + Document( + page_content="[user3] Third message with ID-123456 in content", + metadata={ + "source": "discord", + "channel_id": "123", + "message_id": "999", + "author": "user3", + "timestamp": "2026-03-18T10:02:00" + } + ), + ] + + # Mock the Qdrant client to return our test documents + mock_hit1 = MagicMock() + mock_hit1.payload = { + "page_content": "[user1] Hello world", + "metadata": { + "source": "discord", + "channel_id": "123", + "message_id": "456", + "author": "user1", + "timestamp": "2026-03-18T10:00:00" + } + } + + mock_hit2 = MagicMock() + mock_hit2.payload = { + "page_content": "[user2] Another message", + "metadata": { + "source": "discord", + "channel_id": "123", + "message_id": "789", + "author": "user2", + "timestamp": "2026-03-18T10:01:00" + } + } + + mock_hit3 = MagicMock() + mock_hit3.payload = { + "page_content": "[user3] Third message with ID-123456 in content", + "metadata": { + "source": "discord", + "channel_id": "123", + "message_id": "999", + "author": "user3", + "timestamp": "2026-03-18T10:02:00" + } + } + + mock_client = MagicMock() + mock_client.search.return_value = [mock_hit1, mock_hit2, mock_hit3] + + mock_embeddings = MagicMock() + mock_embeddings.embed_query.return_value = [0.1] * 3072 + + with patch('maicro.core.hybrid_search._get_qdrant_client', return_value=mock_client): + with patch('maicro.core.hybrid_search.get_embeddings', return_value=mock_embeddings): + # Search for message with ID 456 - BM25 will search metadata.message_id + results = hybrid_search(query="456", k=3) + + # Verify the top result is the document with message_id 456 + assert len(results) > 0 + assert results[0].metadata["message_id"] == "456" + + +def test_hybrid_search_with_keyword_match(): + """Test that keyword search finds message with specific text.""" + + mock_hit = MagicMock() + mock_hit.payload = { + "page_content": "[user3] Third message with ID-123456 in content", + "metadata": { + "source": "discord", + "channel_id": "123", + "message_id": "999", + "author": "user3", + "timestamp": "2026-03-18T10:02:00" + } + } + + mock_client = MagicMock() + mock_client.search.return_value = [mock_hit] + + mock_embeddings = MagicMock() + mock_embeddings.embed_query.return_value = [0.1] * 3072 + + with patch('maicro.core.hybrid_search._get_qdrant_client', return_value=mock_client): + with patch('maicro.core.hybrid_search.get_embeddings', return_value=mock_embeddings): + # Search for specific text + results = hybrid_search(query="ID-123456", k=1) + + assert len(results) > 0 + assert "ID-123456" in results[0].page_content + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) From 0e192aa99ef272acc46e10eb783fe4e1bdf7de21 Mon Sep 17 00:00:00 2001 From: nisbenz Date: Wed, 18 Mar 2026 07:23:59 +0100 Subject: [PATCH 109/127] refactor hybrid search --- src/maicro/core/hybrid_search.py | 158 ++++++++++++++++++------------ src/maicro/services/qa_service.py | 13 ++- tests/unit/test_hybrid_search.py | 12 ++- 3 files changed, 118 insertions(+), 65 deletions(-) diff --git a/src/maicro/core/hybrid_search.py b/src/maicro/core/hybrid_search.py index b2c5736..514c330 100644 --- a/src/maicro/core/hybrid_search.py +++ b/src/maicro/core/hybrid_search.py @@ -5,7 +5,6 @@ """ import logging -import re from qdrant_client import QdrantClient from qdrant_client.http import models as qdrant_models @@ -53,8 +52,9 @@ def _reciprocal_rank_fusion( return sorted_results -# Discord message ID pattern - matches 3+ digit IDs -_MESSAGE_ID_PATTERN = re.compile(r'^\d{3,}$') +def _is_message_id(query: str) -> bool: + """Check if query looks like a Discord message ID (numeric string).""" + return query.isdigit() and len(query) >= 17 def hybrid_search( @@ -65,97 +65,131 @@ def hybrid_search( ) -> list[Document]: """Execute hybrid search combining semantic (vector) and keyword (BM25) search. - Uses Qdrant's Prefetch API to execute both searches and merges results - using Reciprocal Rank Fusion (RRF). - + Returns: List of Documents sorted by RRF score """ if alpha is None: alpha = getattr(settings, 'HYBRID_SEARCH_ALPHA', 0.7) - message_id = None - cleaned = query.strip() - if _MESSAGE_ID_PATTERN.match(cleaned): - message_id = cleaned - - if message_id: - message_id_filter = qdrant_models.Filter( - must=[ - qdrant_models.FieldCondition( - key="metadata.message_id", - match=qdrant_models.MatchValue(value=message_id), - ) - ] - ) - if filter_condition is None: - filter_condition = message_id_filter - else: - filter_condition = qdrant_models.Filter( - must=[filter_condition, message_id_filter] - ) - client = _get_qdrant_client() collection_name = settings.COLLECTION_NAME embedding = get_embeddings() query_vector = embedding.embed_query(query) - prefetches = [] + vector_results = client.query_points( + collection_name=collection_name, + query=query_vector, + query_filter=filter_condition, + limit=k * 2, + with_payload=True, + with_vectors=False, + ) - prefetches.append( - qdrant_models.Prefetch( - query=query_vector, - using="cosine", - limit=k * 2, # Fetch more for better fusion - filter=filter_condition, - ) + + text_match_condition = qdrant_models.FieldCondition( + key="page_content", + match=qdrant_models.MatchText(text=query), ) - prefetches.append( - qdrant_models.Prefetch( - query=query, - limit=k * 2, - filter=filter_condition, + if filter_condition: + text_filter = qdrant_models.Filter( + must=[filter_condition, text_match_condition] ) + else: + text_filter = qdrant_models.Filter(must=[text_match_condition]) + + text_results = client.scroll( + collection_name=collection_name, + scroll_filter=text_filter, + limit=k * 2, + with_payload=True, + with_vectors=False, ) - try: - search_results = client.search( + message_id_docs = [] + if _is_message_id(query): + message_id_condition = qdrant_models.FieldCondition( + key="metadata.message_id", + match=qdrant_models.MatchValue(value=query), + ) + + if filter_condition: + message_id_filter = qdrant_models.Filter( + must=[filter_condition, message_id_condition] + ) + else: + message_id_filter = qdrant_models.Filter(must=[message_id_condition]) + + message_id_results = client.scroll( collection_name=collection_name, - query_vector=query_vector, - prefetch=prefetches, - query_filter=filter_condition, - limit=k, + scroll_filter=message_id_filter, + limit=k * 2, with_payload=True, with_vectors=False, ) - documents = [] - for hit in search_results: + for hit in message_id_results[0]: payload = hit.payload or {} + doc_id = hit.id + score = 2.0 + message_id_docs.append((doc_id, score, payload)) + + vector_docs = [] + for hit in vector_results.points: + payload = hit.payload or {} + doc_id = hit.id + score = hit.score if hasattr(hit, 'score') else 1.0 + vector_docs.append((doc_id, score, payload)) + + text_docs = [] + for hit in text_results[0]: + payload = hit.payload or {} + doc_id = hit.id + score = 1.0 + text_docs.append((doc_id, score, payload)) + + rrf_k = getattr(settings, 'HYBRID_SEARCH_RRF_K', 60) + + results_by_source = {} + + vector_ranked = [(doc_id, score) for doc_id, score, _ in vector_docs] + results_by_source['vector'] = vector_ranked + + text_ranked = [(doc_id, 1.0) for doc_id, _, _ in text_docs] + results_by_source['text'] = text_ranked + + if message_id_docs: + message_id_ranked = [(doc_id, score) for doc_id, score, _ in message_id_docs] + results_by_source['message_id'] = message_id_ranked + + rrf_scores = _reciprocal_rank_fusion(results_by_source, k=rrf_k) + + doc_map = {} + for doc_id, score, payload in vector_docs: + doc_map[doc_id] = payload + for doc_id, score, payload in text_docs: + if doc_id not in doc_map: + doc_map[doc_id] = payload + for doc_id, score, payload in message_id_docs: + if doc_id not in doc_map: + doc_map[doc_id] = payload + + documents = [] + for doc_id, rrf_score in rrf_scores: + if doc_id in doc_map: + payload = doc_map[doc_id] page_content = payload.get("page_content", "") metadata = payload.get("metadata", {}) - documents.append( Document( page_content=page_content, metadata=metadata, ) ) - - return documents - - except Exception as e: - logger.warning(f"Hybrid search failed, falling back to vector search: {e}") - # Fallback to standard vector search - from maicro.core.vector_store import get_vector_store - vector_store = get_vector_store() - return vector_store.similarity_search( - query=query, - k=k, - filter=filter_condition, - ) + + return documents[:k] class _HybridRetriever: diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index b16b392..660a8e8 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -1,5 +1,6 @@ """Question-answering service built on top of retrieval-augmented generation.""" +import logging import re from concurrent.futures import ThreadPoolExecutor, TimeoutError as FutureTimeoutError from datetime import datetime, timezone @@ -14,6 +15,8 @@ from maicro.core.prompt_template import build_rag_prompt_template from maicro.core.vector_store import get_vector_store +logger = logging.getLogger(__name__) + class AskError(Exception): """Raised when asking the LLM fails with a user-actionable error.""" @@ -391,9 +394,16 @@ def ask_question(question: str) -> str: effective_question = _augment_temporal_question(normalized_question) def _build_chain(model): + def _debug_retrieve(q): + docs = _retrieve_with_rewrites(q, retriever, k=6) + logger.info(f"[DEBUG] Retrieved {len(docs)} documents for question: {q}") + for i, doc in enumerate(docs): + logger.info(f"[DEBUG] Doc {i}: {doc.page_content[:200]}... | metadata: {doc.metadata}") + return docs + return ( { - "context": RunnableLambda(lambda q: _retrieve_with_rewrites(q, retriever, k=6)) + "context": RunnableLambda(lambda q: _debug_retrieve(q)) | RunnableLambda(_format_context), "question": RunnableLambda(lambda _q: effective_question), } @@ -414,3 +424,4 @@ def _build_chain(model): "Ingest Discord data first (POST /api/v1/ingest/discord)." ) from exc raise AskError(_format_llm_error(exc)) from exc + diff --git a/tests/unit/test_hybrid_search.py b/tests/unit/test_hybrid_search.py index ffc3bda..c187987 100644 --- a/tests/unit/test_hybrid_search.py +++ b/tests/unit/test_hybrid_search.py @@ -83,8 +83,12 @@ def test_hybrid_search_returns_specific_message_as_top_hit(): } } + # Mock query_points response - returns an object with .points attribute + mock_result = MagicMock() + mock_result.points = [mock_hit1, mock_hit2, mock_hit3] + mock_client = MagicMock() - mock_client.search.return_value = [mock_hit1, mock_hit2, mock_hit3] + mock_client.query_points.return_value = mock_result mock_embeddings = MagicMock() mock_embeddings.embed_query.return_value = [0.1] * 3072 @@ -114,8 +118,12 @@ def test_hybrid_search_with_keyword_match(): } } + # Mock query_points response + mock_result = MagicMock() + mock_result.points = [mock_hit] + mock_client = MagicMock() - mock_client.search.return_value = [mock_hit] + mock_client.query_points.return_value = mock_result mock_embeddings = MagicMock() mock_embeddings.embed_query.return_value = [0.1] * 3072 From 92a5bdb0c93e263e65c516fb8cf2678a6b9a6dc1 Mon Sep 17 00:00:00 2001 From: Adel HB Date: Wed, 18 Mar 2026 07:36:13 +0100 Subject: [PATCH 110/127] Restrict CI triggers to dev and main branches --- .github/workflows/ci.yml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 662f393..f7053b1 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -2,7 +2,12 @@ name: CI on: push: + branches: + - dev pull_request: + branches: + - dev + - main jobs: test: From afdac82226036ebd9861424f890c6ceab1e3f7a1 Mon Sep 17 00:00:00 2001 From: Adel HB Date: Wed, 18 Mar 2026 08:35:44 +0100 Subject: [PATCH 111/127] Fixed dockerfile and docker-compose files --- Dockerfile | 14 ++++++++------ docker-compose.yml | 4 ++-- 2 files changed, 10 insertions(+), 8 deletions(-) diff --git a/Dockerfile b/Dockerfile index b5849b7..a22f679 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,19 +1,19 @@ -FROM ghcr.io/astral-sh/uv:python3.12-slim AS builder +FROM ghcr.io/astral-sh/uv:0.10.11-python3.12-trixie AS builder ENV UV_COMPILE_BYTECODE=1 ENV UV_LINK_MODE=copy WORKDIR /app +COPY pyproject.toml uv.lock README.md ./ + RUN --mount=type=cache,target=/root/.cache/uv \ - --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ - --mount=type=bind,source=README.md,target=README.md \ - uv sync --frozen --no-install-project --no-dev + uv sync --frozen --no-install-project --no-dev -COPY . . +COPY src ./src RUN --mount=type=cache,target=/root/.cache/uv \ - uv sync --frozen --no-dev + uv sync --frozen FROM python:3.12-slim @@ -24,6 +24,8 @@ COPY --from=builder /app/.venv /app/.venv ENV PATH="/app/.venv/bin:$PATH" ENV PYTHONPATH="/app/src" +COPY src ./src + EXPOSE 8000 CMD ["uvicorn", "maicro.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/docker-compose.yml b/docker-compose.yml index b813887..275d842 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,7 +1,7 @@ services: maicro: - image: ghcr.io/microclub-usthb/maicro:latest - # build: . # Uncomment to build from local source + # image: ghcr.io/microclub-usthb/maicro:latest #latest build from GHCR + build: . # local source (Dockerfile) container_name: maicro ports: - "8000:8000" From 206229ee9f60b8ee8cc205fd23d12d62cd76a595 Mon Sep 17 00:00:00 2001 From: Adel HB Date: Wed, 18 Mar 2026 08:36:09 +0100 Subject: [PATCH 112/127] Switched prefix definition to main.py and removed duplicate health route --- src/maicro/api/routes.py | 2 +- src/maicro/core/config.py | 8 ++++++-- src/maicro/main.py | 7 +------ 3 files changed, 8 insertions(+), 9 deletions(-) diff --git a/src/maicro/api/routes.py b/src/maicro/api/routes.py index 8013f39..23c5975 100644 --- a/src/maicro/api/routes.py +++ b/src/maicro/api/routes.py @@ -10,7 +10,7 @@ from maicro.core.config import settings from maicro.services.qa_service import ask_question -router = APIRouter(prefix=settings.API_V1_STR) +router = APIRouter() @router.get("/health") diff --git a/src/maicro/core/config.py b/src/maicro/core/config.py index 7bb21fe..2f0ebab 100644 --- a/src/maicro/core/config.py +++ b/src/maicro/core/config.py @@ -1,11 +1,12 @@ from pydantic_settings import BaseSettings, SettingsConfigDict from typing import List, Optional + class Settings(BaseSettings): PROJECT_NAME: str = "mAIcro" VERSION: str = "0.1.0" API_V1_STR: str = "/api/v1" - + ORG_NAME: str = "MicroClub" ORG_DESCRIPTION: Optional[str] = "A generic organization using mAIcro" CORE_RULES: Optional[List[str]] = None @@ -34,6 +35,9 @@ def discord_channel_id_list(self) -> List[str]: if not self.DISCORD_CHANNEL_IDS: return [] - return [cid.strip() for cid in self.DISCORD_CHANNEL_IDS.split(",") if cid.strip()] + return [ + cid.strip() for cid in self.DISCORD_CHANNEL_IDS.split(",") if cid.strip() + ] + settings = Settings() diff --git a/src/maicro/main.py b/src/maicro/main.py index 8d3adc6..4284eb1 100644 --- a/src/maicro/main.py +++ b/src/maicro/main.py @@ -53,13 +53,8 @@ async def lifespan(app: FastAPI): ), ) -@app.get("/health") -async def health_check(): - """Simple health check endpoint.""" - return {"status": "ok"} - -app.include_router(router) +app.include_router(router, prefix=settings.API_V1_STR) register_exception_handlers(app) From 91b81e310e2cbfcf649545558e1637cf5d6e9b07 Mon Sep 17 00:00:00 2001 From: Adel HB Date: Wed, 18 Mar 2026 09:09:50 +0100 Subject: [PATCH 113/127] Removed all inline comments in env files and non-ASCII characters --- .env.example | 18 +++++++++++++----- src/maicro/core/discord_fetcher.py | 4 ++-- 2 files changed, 15 insertions(+), 7 deletions(-) diff --git a/.env.example b/.env.example index 33c20b0..45b1d97 100644 --- a/.env.example +++ b/.env.example @@ -12,14 +12,22 @@ GEMINI_API_KEY= # https://aistudio.google.com/app/apikey # Create a bot at https://discord.com/developers/applications # Enable MESSAGE CONTENT intent, then invite the bot to your server # with "Read Message History" + "View Channels" permissions. -DISCORD_BOT_TOKEN= # Bot → Token → Copy -DISCORD_CHANNEL_IDS= # Comma-separated channel IDs to ingest, e.g. 123456789,987654321 + +# Discord Bot Token (Bot -> Token -> Copy) +DISCORD_BOT_TOKEN= + +# Comma-separated channel IDs to ingest, e.g. 123456789,987654321 +DISCORD_CHANNEL_IDS= # ── Qdrant (Vector Database) ──────────────────── # Sign up for the free 1 GB tier at https://cloud.qdrant.io -# Create a cluster → copy the URL and API key below. -QDRANT_URL= # e.g. https://abc123-xyz.us-east4-0.gcp.cloud.qdrant.io:6333 -QDRANT_API_KEY= # Cluster → API Keys → Create +# Create a cluster -> copy the URL and API key below. + +# Qdrant URL (e.g. https://abc123-xyz.us-east4-0.gcp.cloud.qdrant.io:6333) +QDRANT_URL= + +# Qdrant API Key (Cluster -> API Keys -> Create) +QDRANT_API_KEY= # ── Organization (optional) ───────────────────── # Customize the AI personality for your org. diff --git a/src/maicro/core/discord_fetcher.py b/src/maicro/core/discord_fetcher.py index 85aca7a..2f3adb2 100644 --- a/src/maicro/core/discord_fetcher.py +++ b/src/maicro/core/discord_fetcher.py @@ -50,7 +50,7 @@ async def fetch_channel_messages( all_messages.extend(batch) if after: - after = batch[-1]["id"] # ascending (oldest→newest): advance forward + after = batch[-1]["id"] # ascending (oldest->newest): advance forward else: before = batch[-1]["id"] # descending (bootstrap): go further back @@ -68,7 +68,7 @@ async def fetch_message_by_id( """Fetch a single message by its ID. Returns None if not found (deleted).""" headers = {"Authorization": f"Bot {bot_token}"} url = f"{DISCORD_API}/channels/{channel_id}/messages/{message_id}" - + async with aiohttp.ClientSession() as session: async with session.get(url, headers=headers) as resp: if resp.status == 404: From cf204580f7d8a307e65c4a1bdfb9d2cbf40ffc04 Mon Sep 17 00:00:00 2001 From: Adel HB Date: Wed, 18 Mar 2026 09:58:58 +0100 Subject: [PATCH 114/127] Created development docker-compose --- docker-compose.dev.yml | 50 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) create mode 100644 docker-compose.dev.yml diff --git a/docker-compose.dev.yml b/docker-compose.dev.yml new file mode 100644 index 0000000..1932b0f --- /dev/null +++ b/docker-compose.dev.yml @@ -0,0 +1,50 @@ +services: + maicro: + build: + context: . + target: builder + container_name: maicro_dev + environment: + - PYTHONUNBUFFERED=1 + - UVICORN_RELOAD=true + - PYTHONPATH=/app/src + env_file: + - .env + volumes: + - ./src:/app/src # bind-mount source for hot reload + - ./pyproject.toml:/app/pyproject.toml + - ./uv.lock:/app/uv.lock + - /app/.venv # keep venv persistent inside container + ports: + - "8000:8000" + command: > + /app/.venv/bin/uvicorn maicro.main:app + --host 0.0.0.0 + --port 8000 + --reload + --reload-dir /app/src + depends_on: + - qdrant + healthcheck: + test: + ["CMD-SHELL", "curl -f http://localhost:8000/api/v1/health || exit 1"] + interval: 15s + timeout: 10s + retries: 5 + + qdrant: + image: qdrant/qdrant:v1.2.0 + container_name: qdrant_dev + environment: + QDRANT__SERVICE__API_KEY: "${QDRANT_API_KEY:-devkey}" + QDRANT__SERVICE__HTTP_PORT: 6333 + ports: + - "6333:6333" + - "6334:6334" + volumes: + - qdrant_data:/qdrant/storage + healthcheck: + disable: true + +volumes: + qdrant_data: From b3f52d9369b83952109199d55bd1076518b67df8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Youn=C3=A8s=20BENSAFIA?= <114447089+YounesBensafia@users.noreply.github.com> Date: Wed, 18 Mar 2026 16:04:58 +0100 Subject: [PATCH 115/127] Remove introductory image from README Removed the introductory image from the README. --- README.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 2af94e5..2c0925d 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,7 @@ -

- image -

- # mAIcro: Open Source Knowledge Service +Logo moderne de mAIcro + **mAIcro** is a professional, stateless AI service designed to centralize organizational knowledge and answer questions via RAG (Retrieval-Augmented Generation). --- From d18aedf28106a18cb3c48f595a962c9abf423938 Mon Sep 17 00:00:00 2001 From: maya-ots Date: Wed, 18 Mar 2026 16:08:06 +0100 Subject: [PATCH 116/127] Refactor (services/qa_service.py) to use Qdrant's scroll or search API with a sort parameter (timestamp). --- src/maicro/services/qa_service.py | 149 ++++++++++++++++-------------- 1 file changed, 80 insertions(+), 69 deletions(-) diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index 59712aa..5e865e8 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -41,7 +41,12 @@ class AskConfigError(AskError): (re.compile(r"\bgonna\b", re.IGNORECASE), "going to"), (re.compile(r"\bthe\s+we\s+have\b", re.IGNORECASE), "do we have"), ] -_TEMPORAL_KEYWORDS_PATTERN = re.compile(r"\b(today|tomorrow|yesterday|this week|next week)\b", re.IGNORECASE) +_TEMPORAL_KEYWORDS_PATTERN = re.compile( + r"\b(today|tomorrow|yesterday|this week|next week)\b", re.IGNORECASE +) + +# Maximum messages fetched for "today's updates" — keeps the prompt bounded. +_TODAY_MESSAGES_LIMIT = 50 def _is_missing_collection_error(message: str) -> bool: @@ -176,59 +181,57 @@ def _parse_iso_timestamp(value: str) -> datetime | None: return None +def _build_discord_filter(): + """Return a Qdrant filter that restricts results to Discord messages.""" + from qdrant_client.http import models as qdrant_models + + return qdrant_models.Filter( + must=[ + qdrant_models.FieldCondition( + key="metadata.source", + match=qdrant_models.MatchValue(value="discord"), + ) + ] + ) + + def _latest_discord_message() -> str | None: - """Return a deterministic response for the latest Discord message in storage.""" + """Return the single most-recent Discord message using server-side ordering. + + Replaces the old full-scan approach: instead of pulling all points into + Python memory and sorting there, we ask Qdrant to order by timestamp + descending and return only the first record. This is O(log N) on the + server and transfers exactly one point over the wire. + """ from qdrant_client.http import models as qdrant_models vector_store = get_vector_store() client = vector_store.client collection_name = vector_store.collection_name - next_offset = None - latest_payload = None - latest_dt = None - - while True: - points, next_offset = client.scroll( - collection_name=collection_name, - scroll_filter=qdrant_models.Filter( - must=[ - qdrant_models.FieldCondition( - key="metadata.source", - match=qdrant_models.MatchValue(value="discord"), - ) - ] - ), - with_payload=True, - with_vectors=False, - limit=256, - offset=next_offset, - ) - - for point in points: - payload = point.payload or {} - metadata = payload.get("metadata") or {} - timestamp = str(metadata.get("timestamp") or "") - dt = _parse_iso_timestamp(timestamp) - if dt is None: - continue - if latest_dt is None or dt > latest_dt: - latest_dt = dt - latest_payload = payload - - if next_offset is None: - break + # order_by with desc direction was introduced in Qdrant 1.8. + # With limit=1 we fetch only the single latest point — no pagination needed. + points, _ = client.scroll( + collection_name=collection_name, + scroll_filter=_build_discord_filter(), + order_by=qdrant_models.OrderBy( + key="metadata.timestamp", + direction=qdrant_models.Direction.Desc, + ), + with_payload=True, + with_vectors=False, + limit=1, + ) - if not latest_payload: + if not points: return None - metadata = latest_payload.get("metadata") or {} + payload = points[0].payload or {} + metadata = payload.get("metadata") or {} author = metadata.get("author") or "unknown" timestamp = metadata.get("timestamp") or "unknown" channel_id = metadata.get("channel_id") or "unknown" - text = str(latest_payload.get("page_content") or "").strip() - if not text: - text = "No text content." + text = str(payload.get("page_content") or "").strip() or "No text content." return ( f"Latest Discord message:\n" @@ -239,55 +242,66 @@ def _latest_discord_message() -> str | None: ) -def _collect_discord_messages_sorted() -> list[tuple[datetime, dict]]: +def _today_discord_messages(reference_date) -> list[dict]: + """Return today's Discord messages, sorted newest-first, via Qdrant ordering. + + Key changes vs. the old implementation: + - Sorting is done by Qdrant (order_by DESC) — no in-process sort. + - We stop fetching as soon as we've scrolled past today's date, so we + never load the entire collection into memory. + - Results are capped at _TODAY_MESSAGES_LIMIT to bound prompt size. + """ from qdrant_client.http import models as qdrant_models vector_store = get_vector_store() client = vector_store.client collection_name = vector_store.collection_name + results: list[dict] = [] next_offset = None - items: list[tuple[datetime, dict]] = [] - while True: + while len(results) < _TODAY_MESSAGES_LIMIT: points, next_offset = client.scroll( collection_name=collection_name, - scroll_filter=qdrant_models.Filter( - must=[ - qdrant_models.FieldCondition( - key="metadata.source", - match=qdrant_models.MatchValue(value="discord"), - ) - ] + scroll_filter=_build_discord_filter(), + order_by=qdrant_models.OrderBy( + key="metadata.timestamp", + direction=qdrant_models.Direction.Desc, ), with_payload=True, with_vectors=False, - limit=256, + # Fetch in pages of 64; small enough to stay lean, large enough to + # avoid round-trip overhead on busy channels. + limit=64, offset=next_offset, ) + if not points: + break + for point in points: payload = point.payload or {} metadata = payload.get("metadata") or {} - timestamp = str(metadata.get("timestamp") or "") - dt = _parse_iso_timestamp(timestamp) + timestamp_str = str(metadata.get("timestamp") or "") + dt = _parse_iso_timestamp(timestamp_str) + if dt is None: continue - items.append((dt, payload)) - if next_offset is None: - break + # Because we're iterating newest-first, the moment we see a point + # older than today we can stop — everything after will be older too. + if dt.date() < reference_date: + return results - items.sort(key=lambda x: x[0], reverse=True) - return items + if dt.date() == reference_date: + results.append(payload) + if len(results) >= _TODAY_MESSAGES_LIMIT: + return results + if next_offset is None: + break -def _today_discord_messages(reference_date) -> list[dict]: - return [ - payload - for dt, payload in _collect_discord_messages_sorted() - if dt.date() == reference_date - ] + return results def _answer_from_latest_message_with_llm(question: str, latest_message: str, llm) -> str: @@ -355,7 +369,6 @@ def ask_question(question: str) -> str: llm = get_llm() return _answer_from_latest_message_with_llm(question, latest, llm) except Exception: - # Fall back to deterministic latest message, then standard RAG path. if latest: return latest @@ -365,7 +378,6 @@ def ask_question(question: str) -> str: raise AskConfigError(str(exc)) from exc try: - # Use hybrid retriever retriever = get_hybrid_retriever(k=6) except ConfigurationError as exc: raise AskConfigError(str(exc)) from exc @@ -404,7 +416,7 @@ def _debug_retrieve(q): for i, doc in enumerate(docs): logger.info(f"[DEBUG] Doc {i}: {doc.page_content[:200]}... | metadata: {doc.metadata}") return docs - + return ( { "context": RunnableLambda(lambda q: _debug_retrieve(q)) @@ -428,4 +440,3 @@ def _debug_retrieve(q): "Ingest Discord data first (POST /api/v1/ingest/discord)." ) from exc raise AskError(_format_llm_error(exc)) from exc - From 6d59fe1d51b1420fe1b26918ce88aeb1d7161f63 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Youn=C3=A8s=20BENSAFIA?= <114447089+YounesBensafia@users.noreply.github.com> Date: Wed, 18 Mar 2026 16:08:47 +0100 Subject: [PATCH 117/127] Change logo image in README.md Updated the logo image in the README file. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2c0925d..ec61919 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # mAIcro: Open Source Knowledge Service -Logo moderne de mAIcro +mAIcro **mAIcro** is a professional, stateless AI service designed to centralize organizational knowledge and answer questions via RAG (Retrieval-Augmented Generation). From 2aa4b3b9df7e5bac1d928fbf60f88bcf102c2515 Mon Sep 17 00:00:00 2001 From: maya-ots Date: Wed, 18 Mar 2026 16:37:24 +0100 Subject: [PATCH 118/127] Update _retrieve_with_rewrites in services/qa_service.py to handle larger context windows efficiently. --- src/maicro/services/qa_service.py | 53 +++++++++++++++++++++---------- 1 file changed, 36 insertions(+), 17 deletions(-) diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index 5e865e8..ce2054a 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -46,6 +46,8 @@ class AskConfigError(AskError): ) # Maximum messages fetched for "today's updates" — keeps the prompt bounded. +_CONTEXT_CHAR_BUDGET = 6_000 +_DOC_CHAR_LIMIT = 1_200 _TODAY_MESSAGES_LIMIT = 50 @@ -99,22 +101,33 @@ def _format_llm_error(exc: Exception) -> str: def _format_context(docs: list[Document]) -> str: - """Render retrieved docs into concise, traceable snippets for the prompt.""" if not docs: return "No relevant context retrieved." chunks = [] + total_chars = 0 + for i, doc in enumerate(docs, start=1): text = " ".join((doc.page_content or "").split()) - text = text[:1200] + text = text[:_DOC_CHAR_LIMIT] metadata = doc.metadata or {} source = metadata.get("source") or metadata.get("channel_id") or "unknown" date = metadata.get("date") or metadata.get("timestamp") or "unknown" - chunks.append(f"[{i}] source={source} | date={date}\\n{text}") + chunk = f"[{i}] source={source} | date={date}\\n{text}" + + if total_chars + len(chunk) > _CONTEXT_CHAR_BUDGET: + logger.debug( + "[context] Budget exhausted after %d/%d docs (%d chars used).", + i - 1, len(docs), total_chars, + ) + break + + chunks.append(chunk) + total_chars += len(chunk) - return "\\n\\n".join(chunks) + return "\\n\\n".join(chunks) if chunks else "No relevant context retrieved." def _normalize_question(question: str) -> str: @@ -123,21 +136,20 @@ def _normalize_question(question: str) -> str: normalized = pattern.sub(replacement, normalized) return normalized +def _doc_key(doc: Document) -> tuple[str, str, str]: + """Stable deduplication key for a retrieved document.""" + metadata = doc.metadata or {} + message_id = str(metadata.get("message_id") or "") + source = str(metadata.get("source") or "") + content_fp = " ".join((doc.page_content or "").split())[:200] + return (source, message_id, content_fp) def _merge_docs(primary: list[Document], secondary: list[Document], limit: int) -> list[Document]: merged: list[Document] = [] seen: set[tuple[str, str, str]] = set() - def _key(doc: Document) -> tuple[str, str, str]: - metadata = doc.metadata or {} - return ( - str(metadata.get("source", "")), - str(metadata.get("message_id", "")), - (doc.page_content or "")[:160], - ) - for doc in primary + secondary: - key = _key(doc) + key = _doc_key(doc) if key in seen: continue seen.add(key) @@ -150,10 +162,17 @@ def _key(doc: Document) -> tuple[str, str, str]: def _retrieve_with_rewrites(question: str, retriever, k: int = 6) -> list[Document]: normalized = _normalize_question(question) - primary = retriever.invoke(question) - if normalized.lower() == question.strip().lower(): - return primary - secondary = retriever.invoke(normalized) + needs_rewrite = normalized.lower() != question.strip().lower() + + if not needs_rewrite: + return retriever.invoke(question) + + with ThreadPoolExecutor(max_workers=2) as executor: + future_primary = executor.submit(retriever.invoke, question) + future_secondary = executor.submit(retriever.invoke, normalized) + primary = future_primary.result() + secondary = future_secondary.result() + return _merge_docs(primary, secondary, limit=k) From 8ae013e1a23b4bfefc220e3f6a74c2f278e7286a Mon Sep 17 00:00:00 2001 From: maya-ots Date: Wed, 18 Mar 2026 17:15:13 +0100 Subject: [PATCH 119/127] fix: correct errors --- src/maicro/services/qa_service.py | 4 +-- tests/unit/test_qa_service.py | 46 ------------------------------- 2 files changed, 2 insertions(+), 48 deletions(-) diff --git a/src/maicro/services/qa_service.py b/src/maicro/services/qa_service.py index ce2054a..adb3726 100644 --- a/src/maicro/services/qa_service.py +++ b/src/maicro/services/qa_service.py @@ -235,7 +235,7 @@ def _latest_discord_message() -> str | None: scroll_filter=_build_discord_filter(), order_by=qdrant_models.OrderBy( key="metadata.timestamp", - direction=qdrant_models.Direction.Desc, + direction=qdrant_models.Direction.DESC, ), with_payload=True, with_vectors=False, @@ -285,7 +285,7 @@ def _today_discord_messages(reference_date) -> list[dict]: scroll_filter=_build_discord_filter(), order_by=qdrant_models.OrderBy( key="metadata.timestamp", - direction=qdrant_models.Direction.Desc, + direction=qdrant_models.Direction.DESC, ), with_payload=True, with_vectors=False, diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index e7fba0b..7d71a4c 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -162,52 +162,6 @@ def invoke(self, _prompt): assert answer == "Fallback latest summary" -def test_collect_discord_messages_sorted_handles_pagination(monkeypatch): - pages = [ - ( - [ - SimpleNamespace(payload={"metadata": {"timestamp": "not-a-timestamp"}}), - SimpleNamespace( - payload={ - "page_content": "older", - "metadata": {"timestamp": "2026-03-09T08:00:00+00:00", "author": "older"}, - } - ), - ], - "page-2", - ), - ( - [ - SimpleNamespace( - payload={ - "page_content": "newer", - "metadata": {"timestamp": "2026-03-10T09:30:00+00:00", "author": "newer"}, - } - ) - ], - None, - ), - ] - - class FakeClient: - def __init__(self): - self.offsets = [] - - def scroll(self, **kwargs): - self.offsets.append(kwargs["offset"]) - return pages.pop(0) - - fake_vector_store = SimpleNamespace( - client=FakeClient(), - collection_name="microclub_knowledge", - ) - monkeypatch.setattr(qa_service, "get_vector_store", lambda: fake_vector_store) - - result = qa_service._collect_discord_messages_sorted() - - assert fake_vector_store.client.offsets == [None, "page-2"] - assert [payload["page_content"] for _, payload in result] == ["newer", "older"] - def test_ask_question_recency_query_returns_latest_message_when_llm_fails(monkeypatch): latest_message = "Latest Discord message:\n- content: fallback" From 04c5033a95253423967224c1823a3565e2b4bfc2 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Wed, 18 Mar 2026 17:24:15 +0100 Subject: [PATCH 120/127] test: Reorder test data points in `test_qa_service.py`. --- tests/unit/test_qa_service.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index 7d71a4c..a39b814 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -29,23 +29,23 @@ def test_latest_discord_message_picks_newest_timestamp(monkeypatch): points = [ SimpleNamespace( payload={ - "page_content": "[a] older message", + "page_content": "[b] newest message", "metadata": { "source": "discord", - "author": "a", - "channel_id": "c1", - "timestamp": "2026-03-01T10:00:00+00:00", + "author": "b", + "channel_id": "c2", + "timestamp": "2026-03-09T17:39:33+00:00", }, } ), SimpleNamespace( payload={ - "page_content": "[b] newest message", + "page_content": "[a] older message", "metadata": { "source": "discord", - "author": "b", - "channel_id": "c2", - "timestamp": "2026-03-09T17:39:33+00:00", + "author": "a", + "channel_id": "c1", + "timestamp": "2026-03-01T10:00:00+00:00", }, } ), From c455c79cad213a6d1730750bf8ef93ebfe51d545 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Wed, 18 Mar 2026 18:13:41 +0100 Subject: [PATCH 121/127] refactor: remove secondary LLM provider configuration from .env.example --- .env.example | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/.env.example b/.env.example index c44c7f9..3e184d8 100644 --- a/.env.example +++ b/.env.example @@ -5,13 +5,7 @@ # ── LLM Provider ──────────────────────────────── LLM_PROVIDER=google -GEMINI_API_KEY= # https://aistudio.google.com/app/apikey - -# ── Secondary LLM Provider (Fallback) ─────────── -# Used when the primary provider is rate-limited. -# NOTE: If you set SECONDARY_LLM_PROVIDER=google, you should provide a different Gemini key/project below; otherwise both providers share the same quota. -SECONDARY_LLM_PROVIDER=google -SECONDARY_GEMINI_API_KEY= # Required: different Gemini key/project for fallback +GEMINI_API_KEY= # ── Discord ───────────────────────────────────── From d8a7bc3fac1727a44b8010c00c4aa79918570386 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Wed, 18 Mar 2026 18:47:04 +0100 Subject: [PATCH 122/127] feat: add MIT License file. --- LICENSE | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) create mode 100644 LICENSE diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..c3b81e9 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2026 Micro Club + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. From 81d9a9402165b5346b1d79b9aaa4c270afee6fb3 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Wed, 18 Mar 2026 19:01:40 +0100 Subject: [PATCH 123/127] feat: Implement core Q&A service with RAG, Discord integration, and restructure project into `src/core` and `src/api` modules. --- CONTRIBUTING.md | 2 +- Dockerfile | 6 ++++-- README.md | 5 +++-- pyproject.toml | 2 +- src/{maicro => }/api/__init__.py | 0 src/{maicro => }/api/error_handlers.py | 2 +- src/{maicro => }/api/routes.py | 8 ++++---- src/{maicro => }/api/schemas.py | 0 src/{maicro => }/core/.gitkeep | 0 src/{maicro => }/core/__init__.py | 0 src/{maicro => }/core/audit.py | 8 ++++---- src/{maicro => }/core/config.py | 0 src/{maicro => }/core/discord_fetcher.py | 0 src/{maicro => }/core/discord_listener.py | 4 ++-- src/{maicro => }/core/hybrid_search.py | 6 +++--- src/{maicro => }/core/ingestion.py | 14 +++++++------- src/{maicro => }/core/llm_provider.py | 2 +- src/{maicro => }/core/prompt_template.py | 2 +- src/{maicro => }/core/state.py | 4 ++-- src/{maicro => }/core/vector_store.py | 6 +++--- src/{maicro => }/main.py | 12 ++++++------ src/{maicro => }/services/qa_service.py | 10 +++++----- tests/api/test_routes.py | 8 ++++---- tests/conftest.py | 2 +- tests/unit/test_discord_listener.py | 6 +++--- tests/unit/test_hybrid_search.py | 12 ++++++------ tests/unit/test_ingestion.py | 4 ++-- tests/unit/test_llm_provider.py | 2 +- tests/unit/test_qa_service.py | 2 +- 29 files changed, 66 insertions(+), 63 deletions(-) rename src/{maicro => }/api/__init__.py (100%) rename src/{maicro => }/api/error_handlers.py (95%) rename src/{maicro => }/api/routes.py (88%) rename src/{maicro => }/api/schemas.py (100%) rename src/{maicro => }/core/.gitkeep (100%) rename src/{maicro => }/core/__init__.py (100%) rename src/{maicro => }/core/audit.py (97%) rename src/{maicro => }/core/config.py (100%) rename src/{maicro => }/core/discord_fetcher.py (100%) rename src/{maicro => }/core/discord_listener.py (98%) rename src/{maicro => }/core/hybrid_search.py (97%) rename src/{maicro => }/core/ingestion.py (96%) rename src/{maicro => }/core/llm_provider.py (99%) rename src/{maicro => }/core/prompt_template.py (98%) rename src/{maicro => }/core/state.py (96%) rename src/{maicro => }/core/vector_store.py (97%) rename src/{maicro => }/main.py (80%) rename src/{maicro => }/services/qa_service.py (98%) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 63fd4c6..bfa25e1 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -33,7 +33,7 @@ uv run pytest Start the API locally: ```bash -uv run uvicorn maicro.main:app --reload --host 0.0.0.0 --port 8000 +uv run uvicorn main:app --reload --host 0.0.0.0 --port 8000 ``` ## Pull requests diff --git a/Dockerfile b/Dockerfile index a22f679..148a656 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,4 +1,6 @@ -FROM ghcr.io/astral-sh/uv:0.10.11-python3.12-trixie AS builder +FROM python:3.12-slim AS builder + +RUN pip install uv ENV UV_COMPILE_BYTECODE=1 ENV UV_LINK_MODE=copy @@ -28,4 +30,4 @@ COPY src ./src EXPOSE 8000 -CMD ["uvicorn", "maicro.main:app", "--host", "0.0.0.0", "--port", "8000"] +CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/README.md b/README.md index ec61919..fe24436 100644 --- a/README.md +++ b/README.md @@ -116,10 +116,11 @@ curl -X POST http://localhost:8000/api/v1/ask \ ```text . -├── src/maicro/ +├── src/ │ ├── api/ # HTTP routes & schemas │ ├── core/ # Configuration & Ingestion logic -│ └── services/ # Business logic (QA system) +│ ├── services/ # Business logic (QA system) +│ └── main.py # Application entrypoint ├── Dockerfile # Optimized multi-stage build ├── docker-compose.yml # Service definitions └── pyproject.toml # Metadata & dependencies diff --git a/pyproject.toml b/pyproject.toml index a38aded..c280b39 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -39,7 +39,7 @@ dependencies = [ ] [tool.hatch.build.targets.wheel] -packages = ["src/maicro"] +packages = ["src"] [tool.pytest.ini_options] pythonpath = ["src"] diff --git a/src/maicro/api/__init__.py b/src/api/__init__.py similarity index 100% rename from src/maicro/api/__init__.py rename to src/api/__init__.py diff --git a/src/maicro/api/error_handlers.py b/src/api/error_handlers.py similarity index 95% rename from src/maicro/api/error_handlers.py rename to src/api/error_handlers.py index 80685e1..2f4ebb2 100644 --- a/src/maicro/api/error_handlers.py +++ b/src/api/error_handlers.py @@ -5,7 +5,7 @@ from fastapi import FastAPI, Request from fastapi.responses import JSONResponse -from maicro.services.qa_service import AskConfigError, AskError +from services.qa_service import AskConfigError, AskError logger = logging.getLogger(__name__) diff --git a/src/maicro/api/routes.py b/src/api/routes.py similarity index 88% rename from src/maicro/api/routes.py rename to src/api/routes.py index 23c5975..d17a2cf 100644 --- a/src/maicro/api/routes.py +++ b/src/api/routes.py @@ -6,9 +6,9 @@ from fastapi import APIRouter, HTTPException -from maicro.api.schemas import AskRequest, AskResponse, IngestResponse -from maicro.core.config import settings -from maicro.services.qa_service import ask_question +from api.schemas import AskRequest, AskResponse, IngestResponse +from core.config import settings +from services.qa_service import ask_question router = APIRouter() @@ -39,7 +39,7 @@ async def ask(req: AskRequest): @router.post("/ingest/discord", response_model=IngestResponse) async def ingest_discord(): """Fetch messages from Discord channels and ingest them.""" - from maicro.core.ingestion import ingest_from_discord + from core.ingestion import ingest_from_discord if not settings.DISCORD_BOT_TOKEN: raise HTTPException( diff --git a/src/maicro/api/schemas.py b/src/api/schemas.py similarity index 100% rename from src/maicro/api/schemas.py rename to src/api/schemas.py diff --git a/src/maicro/core/.gitkeep b/src/core/.gitkeep similarity index 100% rename from src/maicro/core/.gitkeep rename to src/core/.gitkeep diff --git a/src/maicro/core/__init__.py b/src/core/__init__.py similarity index 100% rename from src/maicro/core/__init__.py rename to src/core/__init__.py diff --git a/src/maicro/core/audit.py b/src/core/audit.py similarity index 97% rename from src/maicro/core/audit.py rename to src/core/audit.py index 8abe9cd..179d207 100644 --- a/src/maicro/core/audit.py +++ b/src/core/audit.py @@ -3,9 +3,9 @@ """ -from maicro.core.config import settings -from maicro.core.discord_fetcher import fetch_channel_messages, fetch_message_by_id -from maicro.core.state import get_last_ingested_message_id, ensure_channel_in_state, update_last_ingested_message_id +from core.config import settings +from core.discord_fetcher import fetch_channel_messages, fetch_message_by_id +from core.state import get_last_ingested_message_id, ensure_channel_in_state, update_last_ingested_message_id import logging logger = logging.getLogger(__name__) @@ -19,7 +19,7 @@ async def run_startup_audit( from qdrant_client.http import models as qdrant_models - from maicro.core.ingestion import ( + from core.ingestion import ( _bootstrap_collection, _docs_from_discord_messages, delete_message_from_store, diff --git a/src/maicro/core/config.py b/src/core/config.py similarity index 100% rename from src/maicro/core/config.py rename to src/core/config.py diff --git a/src/maicro/core/discord_fetcher.py b/src/core/discord_fetcher.py similarity index 100% rename from src/maicro/core/discord_fetcher.py rename to src/core/discord_fetcher.py diff --git a/src/maicro/core/discord_listener.py b/src/core/discord_listener.py similarity index 98% rename from src/maicro/core/discord_listener.py rename to src/core/discord_listener.py index 9dfeb77..e9ed2b8 100644 --- a/src/maicro/core/discord_listener.py +++ b/src/core/discord_listener.py @@ -8,13 +8,13 @@ import asyncio import logging -from maicro.core.ingestion import ( +from core.ingestion import ( _docs_from_discord_messages, delete_message_from_store, ingest_documents, update_message_in_store, ) -from maicro.core.state import update_last_ingested_message_id +from core.state import update_last_ingested_message_id logger = logging.getLogger(__name__) diff --git a/src/maicro/core/hybrid_search.py b/src/core/hybrid_search.py similarity index 97% rename from src/maicro/core/hybrid_search.py rename to src/core/hybrid_search.py index 514c330..7e1e125 100644 --- a/src/maicro/core/hybrid_search.py +++ b/src/core/hybrid_search.py @@ -11,11 +11,11 @@ from langchain_core.documents import Document from langchain_core.retrievers import RetrieverLike -from maicro.core.config import settings -from maicro.core.llm_provider import get_embeddings +from core.config import settings +from core.llm_provider import get_embeddings def _get_qdrant_client(): - from maicro.core.vector_store import get_qdrant_client + from core.vector_store import get_qdrant_client return get_qdrant_client() logger = logging.getLogger(__name__) diff --git a/src/maicro/core/ingestion.py b/src/core/ingestion.py similarity index 96% rename from src/maicro/core/ingestion.py rename to src/core/ingestion.py index c8fd620..604fb81 100644 --- a/src/maicro/core/ingestion.py +++ b/src/core/ingestion.py @@ -5,7 +5,7 @@ Supports one source: 1. Discord messages (from the discord_fetcher) -For startup audit (offline edit/delete reconciliation), see `maicro.core.audit`. +For startup audit (offline edit/delete reconciliation), see `core.audit`. """ import logging @@ -14,14 +14,14 @@ from qdrant_client.http import models as qdrant_models from qdrant_client.http.exceptions import UnexpectedResponse -from maicro.core.config import settings -from maicro.core.discord_fetcher import DiscordFetchError, fetch_channel_messages -from maicro.core.llm_provider import get_embeddings -from maicro.core.state import get_last_ingested_message_id, update_last_ingested_message_id -from maicro.core.vector_store import get_qdrant_client, get_vector_store +from core.config import settings +from core.discord_fetcher import DiscordFetchError, fetch_channel_messages +from core.llm_provider import get_embeddings +from core.state import get_last_ingested_message_id, update_last_ingested_message_id +from core.vector_store import get_qdrant_client, get_vector_store # Re-export run_startup_audit for backward compatibility -from maicro.core.audit import run_startup_audit +from core.audit import run_startup_audit __all__ = ["ingest_documents", "ingest_from_discord", "run_startup_audit"] diff --git a/src/maicro/core/llm_provider.py b/src/core/llm_provider.py similarity index 99% rename from src/maicro/core/llm_provider.py rename to src/core/llm_provider.py index be4ac08..1920c65 100644 --- a/src/maicro/core/llm_provider.py +++ b/src/core/llm_provider.py @@ -7,7 +7,7 @@ from langchain_core.runnables import RunnableLambda -from maicro.core.config import settings +from core.config import settings class ConfigurationError(ValueError): diff --git a/src/maicro/core/prompt_template.py b/src/core/prompt_template.py similarity index 98% rename from src/maicro/core/prompt_template.py rename to src/core/prompt_template.py index cbe8548..db7d077 100644 --- a/src/maicro/core/prompt_template.py +++ b/src/core/prompt_template.py @@ -1,6 +1,6 @@ from langchain_core.prompts import PromptTemplate -from maicro.core.config import settings +from core.config import settings _BASE_TEMPLATE = """\ You are the official AI assistant for {org_name}. diff --git a/src/maicro/core/state.py b/src/core/state.py similarity index 96% rename from src/maicro/core/state.py rename to src/core/state.py index ad50745..4c4b6f1 100644 --- a/src/maicro/core/state.py +++ b/src/core/state.py @@ -4,8 +4,8 @@ from qdrant_client.http import models as qdrant_models -from maicro.core.config import settings -from maicro.core.vector_store import get_qdrant_client +from core.config import settings +from core.vector_store import get_qdrant_client logger = logging.getLogger(__name__) diff --git a/src/maicro/core/vector_store.py b/src/core/vector_store.py similarity index 97% rename from src/maicro/core/vector_store.py rename to src/core/vector_store.py index 40160c1..559d642 100644 --- a/src/maicro/core/vector_store.py +++ b/src/core/vector_store.py @@ -6,8 +6,8 @@ from qdrant_client.http import models as qdrant_models from langchain_qdrant import QdrantVectorStore -from maicro.core.config import settings -from maicro.core.llm_provider import get_embeddings +from core.config import settings +from core.llm_provider import get_embeddings logger = logging.getLogger(__name__) @@ -139,7 +139,7 @@ def _close_qdrant_client_on_exit() -> None: # Import hybrid search functions from separate module -from maicro.core.hybrid_search import ( +from core.hybrid_search import ( hybrid_search, get_hybrid_retriever, _reciprocal_rank_fusion, diff --git a/src/maicro/main.py b/src/main.py similarity index 80% rename from src/maicro/main.py rename to src/main.py index 4284eb1..541902a 100644 --- a/src/maicro/main.py +++ b/src/main.py @@ -5,11 +5,11 @@ from fastapi import FastAPI -from maicro.api.error_handlers import register_exception_handlers -from maicro.api.routes import router -from maicro.core.config import settings -from maicro.core.discord_listener import run_discord_listener -from maicro.core.ingestion import ingest_from_discord, run_startup_audit +from api.error_handlers import register_exception_handlers +from api.routes import router +from core.config import settings +from core.discord_listener import run_discord_listener +from core.ingestion import ingest_from_discord, run_startup_audit import logging logging.basicConfig( @@ -61,4 +61,4 @@ async def lifespan(app: FastAPI): if __name__ == "__main__": import uvicorn - uvicorn.run("maicro.main:app", host="0.0.0.0", port=8000, reload=True) + uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True) diff --git a/src/maicro/services/qa_service.py b/src/services/qa_service.py similarity index 98% rename from src/maicro/services/qa_service.py rename to src/services/qa_service.py index adb3726..d859aa9 100644 --- a/src/maicro/services/qa_service.py +++ b/src/services/qa_service.py @@ -9,11 +9,11 @@ from langchain_core.output_parsers import StrOutputParser from langchain_core.runnables import RunnableLambda, RunnablePassthrough -from maicro.core.config import settings -from maicro.core.hybrid_search import get_hybrid_retriever -from maicro.core.llm_provider import ConfigurationError, get_llm -from maicro.core.prompt_template import build_rag_prompt_template -from maicro.core.vector_store import get_vector_store +from core.config import settings +from core.hybrid_search import get_hybrid_retriever +from core.llm_provider import ConfigurationError, get_llm +from core.prompt_template import build_rag_prompt_template +from core.vector_store import get_vector_store logger = logging.getLogger(__name__) diff --git a/tests/api/test_routes.py b/tests/api/test_routes.py index 8567c7c..4c957c1 100644 --- a/tests/api/test_routes.py +++ b/tests/api/test_routes.py @@ -2,9 +2,9 @@ import httpx -import maicro.api.routes as routes -from maicro.services.qa_service import AskError -from maicro.main import app +import api.routes as routes +from services.qa_service import AskError +from main import app def request(method: str, path: str, **kwargs): @@ -74,7 +74,7 @@ async def _fake_ingest(): "total_documents": 5, } - import maicro.core.ingestion as ingestion + import core.ingestion as ingestion monkeypatch.setattr(ingestion, "ingest_from_discord", _fake_ingest) diff --git a/tests/conftest.py b/tests/conftest.py index d2ba196..dc7a40f 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,5 +1,5 @@ import pytest -from maicro.core.config import settings +from core.config import settings @pytest.fixture(autouse=True) def mock_env_vars(monkeypatch): diff --git a/tests/unit/test_discord_listener.py b/tests/unit/test_discord_listener.py index dba9f7b..9e99c8b 100644 --- a/tests/unit/test_discord_listener.py +++ b/tests/unit/test_discord_listener.py @@ -11,7 +11,7 @@ import pytest -from maicro.core import discord_listener +from core import discord_listener # --------------------------------------------------------------------------- @@ -139,7 +139,7 @@ def test_message_to_dict_produces_expected_shape(): def test_run_discord_listener_returns_early_without_token(caplog): """Missing token must log an error and return without connecting.""" import logging - with caplog.at_level(logging.ERROR, logger="maicro.core.discord_listener"): + with caplog.at_level(logging.ERROR, logger="core.discord_listener"): asyncio.run(discord_listener.run_discord_listener("", ["111"])) assert any("DISCORD_BOT_TOKEN" in r.message for r in caplog.records) @@ -147,6 +147,6 @@ def test_run_discord_listener_returns_early_without_token(caplog): def test_run_discord_listener_returns_early_without_channels(caplog): """Missing channel list must log an error and return without connecting.""" import logging - with caplog.at_level(logging.ERROR, logger="maicro.core.discord_listener"): + with caplog.at_level(logging.ERROR, logger="core.discord_listener"): asyncio.run(discord_listener.run_discord_listener("some-token", [])) assert any("No channel IDs" in r.message for r in caplog.records) diff --git a/tests/unit/test_hybrid_search.py b/tests/unit/test_hybrid_search.py index c187987..227a7e1 100644 --- a/tests/unit/test_hybrid_search.py +++ b/tests/unit/test_hybrid_search.py @@ -5,8 +5,8 @@ from langchain_core.documents import Document -from maicro.core.hybrid_search import hybrid_search -from maicro.core.config import settings +from core.hybrid_search import hybrid_search +from core.config import settings def test_hybrid_search_returns_specific_message_as_top_hit(): @@ -93,8 +93,8 @@ def test_hybrid_search_returns_specific_message_as_top_hit(): mock_embeddings = MagicMock() mock_embeddings.embed_query.return_value = [0.1] * 3072 - with patch('maicro.core.hybrid_search._get_qdrant_client', return_value=mock_client): - with patch('maicro.core.hybrid_search.get_embeddings', return_value=mock_embeddings): + with patch('core.hybrid_search._get_qdrant_client', return_value=mock_client): + with patch('core.hybrid_search.get_embeddings', return_value=mock_embeddings): # Search for message with ID 456 - BM25 will search metadata.message_id results = hybrid_search(query="456", k=3) @@ -128,8 +128,8 @@ def test_hybrid_search_with_keyword_match(): mock_embeddings = MagicMock() mock_embeddings.embed_query.return_value = [0.1] * 3072 - with patch('maicro.core.hybrid_search._get_qdrant_client', return_value=mock_client): - with patch('maicro.core.hybrid_search.get_embeddings', return_value=mock_embeddings): + with patch('core.hybrid_search._get_qdrant_client', return_value=mock_client): + with patch('core.hybrid_search.get_embeddings', return_value=mock_embeddings): # Search for specific text results = hybrid_search(query="ID-123456", k=1) diff --git a/tests/unit/test_ingestion.py b/tests/unit/test_ingestion.py index 9163426..f21e4b4 100644 --- a/tests/unit/test_ingestion.py +++ b/tests/unit/test_ingestion.py @@ -5,8 +5,8 @@ from langchain_core.documents import Document from qdrant_client.http.exceptions import UnexpectedResponse -from maicro.core import ingestion -from maicro.core.discord_fetcher import DiscordFetchError +from core import ingestion +from core.discord_fetcher import DiscordFetchError def test_docs_from_discord_messages_skips_blank_content_and_appends_embeds(): diff --git a/tests/unit/test_llm_provider.py b/tests/unit/test_llm_provider.py index 092c9c0..0494a92 100644 --- a/tests/unit/test_llm_provider.py +++ b/tests/unit/test_llm_provider.py @@ -2,7 +2,7 @@ import pytest -from maicro.core import llm_provider +from core import llm_provider @pytest.fixture diff --git a/tests/unit/test_qa_service.py b/tests/unit/test_qa_service.py index a39b814..5c782f5 100644 --- a/tests/unit/test_qa_service.py +++ b/tests/unit/test_qa_service.py @@ -3,7 +3,7 @@ import pytest from langchain_core.runnables import RunnableLambda -from maicro.services import qa_service +from services import qa_service def test_ask_question_uses_latest_shortcut(monkeypatch): From 04089d2aa261f4a1cb053df8bca477b9aed469b0 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Wed, 18 Mar 2026 21:26:01 +0100 Subject: [PATCH 124/127] docs: enhance clarity on setup, features, and use cases --- README.md | 300 +++++++++++++++++++++++------------------------------- 1 file changed, 127 insertions(+), 173 deletions(-) diff --git a/README.md b/README.md index fe24436..6030be7 100644 --- a/README.md +++ b/README.md @@ -2,13 +2,94 @@ mAIcro -**mAIcro** is a professional, stateless AI service designed to centralize organizational knowledge and answer questions via RAG (Retrieval-Augmented Generation). +**mAIcro** is an open-source AI service designed to centralize organizational knowledge and answer questions via RAG (Retrieval-Augmented Generation). It features a stateless architecture optimized for cloud deployment, automatic Discord integration, and production-ready performance. + +## Table of Contents + +- [Quick Start](#quick-start) +- [Features](#features) +- [How It Works](#how-it-works) +- [Architecture](#architecture) +- [Discord Bot Setup](#discord-bot-setup) +- [Project Structure](#project-structure) +- [Use Cases](#use-cases) +- [Future Extensions](#future-extensions) +- [Contributing](#contributing) + +--- + +## Quick Start + +Setting up mAIcro takes less than 5 minutes. + +### 1. Configure Credentials + +Open `.env` and fill in: + +| Service | Purpose | Environment Variable | +|---|---|---| +| **Google Gemini** | LLM & Embeddings | `GEMINI_API_KEY` | +| **Discord Bot** | Data Source | `DISCORD_BOT_TOKEN` | +| **Qdrant Cloud** | Vector Database | `QDRANT_URL`, `QDRANT_API_KEY` | + +### 2. Run + +```bash +docker compose up -d +``` + +Docker automatically pulls the image from GHCR and starts the service at `http://localhost:8000`. + +### 3. Ingest & Ask + +```bash +# Sync Discord history to Qdrant +curl -X POST http://localhost:8000/api/v1/ingest/discord + +# Ask a question +curl -X POST http://localhost:8000/api/v1/ask \ + -H "Content-Type: application/json" \ + -d '{"question":"What projects are the dev team working on?"}' +``` --- -## System Architecture +## Features -mAIcro follows a modern, stateless architecture optimized for cloud deployment. +- **Stateless Architecture** — No local database required. Cursors and embeddings stored in Qdrant Cloud. +- **Discord Integration** — Automatically syncs announcements and messages from specified channels. +- **Production-Ready** — Multi-stage Docker builds with built-in health checks. +- **RAG-Powered** — Uses Google Gemini for fast, accurate organizational QA. +- **Structured Data Understanding** — Reasons about internal data instead of generic internet knowledge. +- **Information Centralization** — Unifies Discord, Docs, Notion, spreadsheets, and announcements into one AI system. + +--- + +## How It Works + +At its core, mAIcro is an AI service that understands your organization's data and answers questions based on it. + +**Data sources** may include: +- Official announcements +- Event information +- Internal documentation +- FAQs +- Structured activity logs + +**Example questions members can ask:** +- When is the next event? +- Where can I apply for the AI team? +- What are the rules for joining a workshop? + +The system processes this information and responds with answers derived directly from your organization's data, not generic AI knowledge. + +--- + +## Architecture + +### System Overview + +mAIcro follows a modern, stateless architecture optimized for cloud deployment: ```mermaid graph TD @@ -32,11 +113,9 @@ graph TD end ``` ---- - -## Stateless Data Flow +### Stateless Data Flow -mAIcro ensures zero-loss ingestion without local state by syncing cursors to the cloud. +mAIcro ensures zero-loss ingestion without local state by syncing cursors to the cloud: ```mermaid sequenceDiagram @@ -55,60 +134,27 @@ sequenceDiagram --- -## Quickstart +## Discord Bot Setup -Setting up mAIcro takes less than 5 minutes. +### Enable Intents & Permissions -#### 1. Zero-Clone Deployment (New) -You don't even need to clone this repo to run mAIcro. Just download these two files: -```bash -curl -O https://raw.githubusercontent.com/MicroClub-USTHB/mAIcro/main/docker-compose.yml -curl -O https://raw.githubusercontent.com/MicroClub-USTHB/mAIcro/main/.env.example -cp .env.example .env -``` +1. Open the [Discord Developer Portal](https://discord.com/developers/applications) +2. Navigate to your application and enable **Message Content Intent** +3. Grant the bot these permissions: + - `View Channels` + - `Read Message History` -#### 2. Configure Credentials -Open `.env` and fill in: -| Service | Purpose | Environment Variable | -|---|---|---| -| **Google Gemini** | LLM & Embeddings | `GEMINI_API_KEY` | -| **Discord Bot** | Data Source | `DISCORD_BOT_TOKEN` | -| **Qdrant Cloud** | Stateless Memory | `QDRANT_URL`, `QDRANT_API_KEY` | +### Add Bot to Your Server -#### 3. Run -```bash -docker compose up -d -``` -*Docker will automatically pull the image from GHCR and start the service.* -*The service is now alive at `http://localhost:8000`.* +4. Copy the bot token to `DISCORD_BOT_TOKEN` in `.env` +5. In **OAuth2 > URL Generator**, select `bot` scope and `Read Messages/View Channels` + `Read Message History` permissions +6. Use the generated URL to invite the bot to your Discord server -#### 4. Ingest & Ask -```bash -# Sync Discord history to the cloud -curl -X POST http://localhost:8000/api/v1/ingest/discord +### Configure Channels -# Ask a question -curl -X POST http://localhost:8000/api/v1/ask \ - -H "Content-Type: application/json" \ - -d '{"question":"What projects are the dev team working on?"}' -``` - ---- - -## Features - -- **Stateless Architecture**: No local database required. Ingestion cursors and embeddings are stored in Qdrant Cloud. -- **Discord Integration**: Automatically syncs announcements and messages from specified channels. -- **Production-Ready**: Multi-stage Docker builds and built-in health checks. -- **RAG-Powered**: Uses Gemini 1.5 Flash for fast, accurate organizational QA. - ---- - -## Discord Bot Setup Tips - -1. **Intents**: Enable **Message Content Intent** in the Discord Developer Portal. -2. **Permissions**: The bot needs `View Channels` and `Read Message History`. -3. **Channel IDs**: Enable Discord Developer Mode and right-click any channel to copy its ID. +7. Enable Discord Developer Mode (User Settings > Advanced > Developer Mode) +8. Right-click any channel and copy its ID +9. Add channel IDs to your configuration --- @@ -118,145 +164,53 @@ curl -X POST http://localhost:8000/api/v1/ask \ . ├── src/ │ ├── api/ # HTTP routes & schemas -│ ├── core/ # Configuration & Ingestion logic +│ ├── core/ # Configuration & ingestion logic │ ├── services/ # Business logic (QA system) │ └── main.py # Application entrypoint +├── tests/ # Unit & integration tests ├── Dockerfile # Optimized multi-stage build ├── docker-compose.yml # Service definitions -└── pyproject.toml # Metadata & dependencies +└── pyproject.toml # Dependencies & metadata ``` ---- - -> **Note:** This service is **Gemini-only** by default. Set `LLM_PROVIDER=google` in your `.env`. - -## Contributing - -We welcome professional contributions. Please see `CONTRIBUTING.md` for our development standards and `SECURITY.md` for reporting vulnerabilities. - ---- -© 2026 Micro Club. Released under the MIT License. - ---- - -# Core Concept - -At its core, **mAIcro works as an AI service that understands provided data and answers questions based on it**. - -Instead of relying on generic internet knowledge, the system operates on **specific datasets provided by the organization**. - -These datasets may include: - -* Official announcements -* Event information -* Internal documentation -* FAQs -* Structured data about activities or members - -The AI processes this information and uses it to respond to user queries. - ---- - -# Key Features - -## Structured Data Understanding - -mAIcro is designed to ingest and understand structured sources of information. -This allows it to reason about internal data rather than relying solely on general AI knowledge. +> **Note:** This service uses **Google Gemini** by default. Set `LLM_PROVIDER=google` in your `.env`. --- -## Question Answering +## Use Cases -Members can ask questions in natural language and receive answers derived directly from the organization's data. +mAIcro is designed to be **adaptable to different organizations** without rebuilding from scratch. Possible deployments include: -Example questions: - -* When is the next event? -* Where can I apply for the AI team? -* What are the rules for joining a workshop? - ---- - -## Information Centralization - -Organizations often have information scattered across multiple platforms: - -* Discord -* Google Docs -* Notion -* Spreadsheets -* Announcements - -mAIcro centralizes these sources into a **single AI-accessible knowledge system**. - ---- - -## Adaptable Architecture - -The system is designed so that it can be **adapted to different organizations** without rebuilding everything. - -Possible use cases include: - -* Student clubs -* Online communities -* Companies -* NGOs -* Developer communities +- **Student Clubs** Centralize event info, team opportunities, and FAQs +- **Online Communities** Consolidate announcements and member documentation +- **Companies** Unify internal policies, documentation, and knowledge bases +- **NGOs** Provide instant access to mission-critical information +- **Developer Communities** Answer technical questions based on shared resources --- -# Open Source Philosophy - -mAIcro is released as an **open-source project**. +## Future Extensions -This means: +mAIcro can evolve beyond question-answering. Planned features include: -* Anyone can use the system -* Anyone can adapt it for their own community -* Anyone can contribute improvements +### Agentic AI +- Automate workflows +- Summarize announcements +- Notify members about relevant events +- Manage knowledge updates autonomously -The goal is to build **shared AI infrastructure** that communities can deploy easily. - ---- - -# First Deployment: Micro Club - -The first deployment of mAIcro is within **Micro Club**. - -In this environment, the system will: - -* process official club announcements -* answer questions from members -* provide information about events, teams, and opportunities - -However, **Micro Club is only the first use case**. -The architecture is designed to be reused by other communities. +### Multi-Platform Integration +- Web dashboards +- APIs for third-party tools +- Notion, Google Docs, Slack integrations +- Knowledge management platforms --- -# Future Extensions - -mAIcro can evolve beyond a question-answering service. - -Possible future features include: - -### Agentic AI Features - -The system may incorporate AI agents capable of: +## Contributing -* automating workflows -* summarizing announcements -* notifying members about relevant events -* managing knowledge updates +We welcome professional contributions. Please see [CONTRIBUTING.md](CONTRIBUTING.md) for development standards and [SECURITY.md](SECURITY.md) for reporting vulnerabilities. --- -### Multi-Platform Integration - -Future integrations may include: - -* Discord -* Web dashboards -* APIs for other tools -* Knowledge management platforms +© 2026 Micro Club. Released under the MIT License. From 32005e83de46f253394f4706d9a46b79d4fa3988 Mon Sep 17 00:00:00 2001 From: YounesBensafia Date: Wed, 18 Mar 2026 22:28:37 +0100 Subject: [PATCH 125/127] docs: update README with additional Discord Channels IDS and clarify running methods --- README.md | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 6030be7..8dda93c 100644 --- a/README.md +++ b/README.md @@ -31,14 +31,25 @@ Open `.env` and fill in: | **Google Gemini** | LLM & Embeddings | `GEMINI_API_KEY` | | **Discord Bot** | Data Source | `DISCORD_BOT_TOKEN` | | **Qdrant Cloud** | Vector Database | `QDRANT_URL`, `QDRANT_API_KEY` | +| **Discord Channels IDS** | IDs of important channels in your discord | `DISCORD_CHANNEL_IDS` | ### 2. Run +You can run mAIcro in two ways: + +**Method A: Clone the repository and run with Docker Compose** + ```bash +git clone https://github.com/MicroClub-USTHB/mAIcro.git +cd mAIcro docker compose up -d ``` -Docker automatically pulls the image from GHCR and starts the service at `http://localhost:8000`. +This starts the app from the repository using the Compose service. + +**Method B: Pull the GHCR image directly and run it as a service** + +Both methods expose the API at `http://localhost:8000`. ### 3. Ingest & Ask From a1572e53de1c88ff8f6ee5aadf4d006431943651 Mon Sep 17 00:00:00 2001 From: Adel HB Date: Wed, 18 Mar 2026 23:59:39 +0100 Subject: [PATCH 126/127] fixed entire README without ghcr specification and fixed docker compose files --- README.md | 326 +++++++++++++++++++++++----------------- assets/maicro-dark.png | Bin 0 -> 4585654 bytes assets/maicro-light.png | Bin 0 -> 2795750 bytes assets/maicro.png | Bin 0 -> 100924 bytes docker-compose.dev.yml | 2 +- docker-compose.yml | 2 +- src/main.py | 4 +- 7 files changed, 196 insertions(+), 138 deletions(-) create mode 100644 assets/maicro-dark.png create mode 100644 assets/maicro-light.png create mode 100644 assets/maicro.png diff --git a/README.md b/README.md index 8dda93c..1c53bfc 100644 --- a/README.md +++ b/README.md @@ -1,98 +1,112 @@ -# mAIcro: Open Source Knowledge Service +
+ mAIcro Logo +
+
-mAIcro +# mAIcro: Open Source Knowledge Service **mAIcro** is an open-source AI service designed to centralize organizational knowledge and answer questions via RAG (Retrieval-Augmented Generation). It features a stateless architecture optimized for cloud deployment, automatic Discord integration, and production-ready performance. ## Table of Contents -- [Quick Start](#quick-start) - [Features](#features) -- [How It Works](#how-it-works) -- [Architecture](#architecture) +- [Quick Start](#quick-start) +- [Configuration](#configuration) - [Discord Bot Setup](#discord-bot-setup) -- [Project Structure](#project-structure) +- [Architecture](#architecture) +- [API Reference](#api-reference) +- [Deployment](#deployment) - [Use Cases](#use-cases) - [Future Extensions](#future-extensions) - [Contributing](#contributing) --- -## Quick Start - -Setting up mAIcro takes less than 5 minutes. - -### 1. Configure Credentials - -Open `.env` and fill in: +## Features -| Service | Purpose | Environment Variable | -|---|---|---| -| **Google Gemini** | LLM & Embeddings | `GEMINI_API_KEY` | -| **Discord Bot** | Data Source | `DISCORD_BOT_TOKEN` | -| **Qdrant Cloud** | Vector Database | `QDRANT_URL`, `QDRANT_API_KEY` | -| **Discord Channels IDS** | IDs of important channels in your discord | `DISCORD_CHANNEL_IDS` | +- **RAG-Powered Q&A** — Google Gemini with hybrid search (semantic vector + keyword BM25) and Reciprocal Rank Fusion +- **Real-Time Discord Sync** — Gateway WebSocket listener handles message CREATE, EDIT, and DELETE instantly +- **Temporal Query Intelligence** — Understands "what happened today?" and "what was the last message?" +- **Question Normalization** — Rewrites slang ("whats", "wanna", "gonna"), augments time-aware queries +- **Startup Audit** — Reconciles offline Discord edits and deletes on every restart +- **Stateless Architecture** — All cursors and vectors live in Qdrant Cloud — no local database +- **Rate Limit Resilience** — Exponential backoff with jitter + optional secondary LLM fallback +- **Production-Ready** — Multi-stage Docker, health checks, graceful reconnection -### 2. Run +--- -You can run mAIcro in two ways: +## Quick Start -**Method A: Clone the repository and run with Docker Compose** +### 1. Clone and configure ```bash git clone https://github.com/MicroClub-USTHB/mAIcro.git cd mAIcro -docker compose up -d +cp .env.example .env ``` -This starts the app from the repository using the Compose service. +Fill in `.env` — see the [Configuration](#configuration) section below. + +### 2. Run -**Method B: Pull the GHCR image directly and run it as a service** +```bash +docker compose up -d +``` -Both methods expose the API at `http://localhost:8000`. +The API is available at `http://localhost:8000`. Interactive docs at `http://localhost:8000/api/v1/docs`. -### 3. Ingest & Ask +### 3. Ingest and query ```bash -# Sync Discord history to Qdrant +# Sync Discord message history to Qdrant curl -X POST http://localhost:8000/api/v1/ingest/discord # Ask a question curl -X POST http://localhost:8000/api/v1/ask \ -H "Content-Type: application/json" \ - -d '{"question":"What projects are the dev team working on?"}' + -d '{"question":"When is the next event?"}' ``` --- -## Features +## Configuration -- **Stateless Architecture** — No local database required. Cursors and embeddings stored in Qdrant Cloud. -- **Discord Integration** — Automatically syncs announcements and messages from specified channels. -- **Production-Ready** — Multi-stage Docker builds with built-in health checks. -- **RAG-Powered** — Uses Google Gemini for fast, accurate organizational QA. -- **Structured Data Understanding** — Reasons about internal data instead of generic internet knowledge. -- **Information Centralization** — Unifies Discord, Docs, Notion, spreadsheets, and announcements into one AI system. +All settings are environment variables loaded from `.env` via `pydantic-settings`. ---- +### Required -## How It Works +| Variable | Description | +| --------------------- | ---------------------------------------------------------------- | +| `GEMINI_API_KEY` | Google Gemini API key (used for LLM + embeddings) | +| `QDRANT_URL` | Qdrant Cloud instance URL (e.g. `https://xxxxx.cloud.qdrant.io`) | +| `QDRANT_API_KEY` | Qdrant Cloud API key | +| `DISCORD_BOT_TOKEN` | Discord bot token (from the Developer Portal) | +| `DISCORD_CHANNEL_IDS` | Comma-separated Discord channel IDs to watch | -At its core, mAIcro is an AI service that understands your organization's data and answers questions based on it. +### Optional -**Data sources** may include: -- Official announcements -- Event information -- Internal documentation -- FAQs -- Structured activity logs +| Variable | Default | Description | +| -------------------------- | ------------------------------------- | ------------------------------------------------------------------ | +| `ORG_NAME` | `MicroClub` | Organization name embedded in the AI system prompt | +| `ORG_DESCRIPTION` | `A generic organization using mAIcro` | Organization description | +| `GOOGLE_MODEL_NAME` | `gemini-2.5-flash` | Gemini model used for answering | +| `SECONDARY_GEMINI_API_KEY` | — | Fallback Gemini key when the primary is rate-limited | +| `LLM_FALLBACK_ENABLED` | `false` | Set to `true` to enable automatic fallback to the secondary key | +| `COLLECTION_NAME` | `microclub_knowledge` | Name of the Qdrant collection | +| `HYBRID_SEARCH_ALPHA` | `0.7` | Blend weight between vector and keyword search (1.0 = vector only) | +| `HYBRID_SEARCH_RRF_K` | `60` | RRF constant used in result fusion | + +--- -**Example questions members can ask:** -- When is the next event? -- Where can I apply for the AI team? -- What are the rules for joining a workshop? +## Discord Bot Setup -The system processes this information and responds with answers derived directly from your organization's data, not generic AI knowledge. +1. Go to the [Discord Developer Portal](https://discord.com/developers/applications) and create an application +2. Navigate to **Bot** → enable **Message Content Intent** under Privileged Gateway Intents +3. Under **OAuth2 > URL Generator**, select `bot` scope and permissions: `Read Messages/View Channels` + `Read Message History` +4. Use the generated URL to invite the bot to your server +5. Copy the bot token (from the Bot page) into `DISCORD_BOT_TOKEN` +6. Enable **Developer Mode** in Discord (User Settings → Advanced → Developer Mode) +7. Right-click the channels you want to watch → **Copy Channel ID** → paste into `DISCORD_CHANNEL_IDS` (comma-separated) --- @@ -100,128 +114,170 @@ The system processes this information and responds with answers derived directly ### System Overview -mAIcro follows a modern, stateless architecture optimized for cloud deployment: - ```mermaid -graph TD - User([User]) <--> API[FastAPI Service] - API <--> Qdrant[(Qdrant Cloud)] - API <--> Gemini[[Google Gemini AI]] - Cron[Cron/Trigger] --> Ingest[Ingestion Pipeline] - Ingest --> Discord[Discord API] - Discord --> Messages[Discord Messages] - Messages --> Embed[Embeddings] - Embed --> Qdrant - - subgraph "Stateless Backend" - API - Ingest +flowchart TB + USER([User]) --> API[FastAPI Service
/api/v1] + + subgraph STARTUP["Startup Phase (Lifespan)"] + AUDIT[Startup Audit
run_startup_audit] + HIST[Historical Ingestion
ingest_from_discord] + LISTEN[Discord Listener
run_discord_listener] + end + + subgraph RUNTIME["Runtime Services"] + QA[QA Service
ask_question] + SEARCH[Hybrid Search
Vector + BM25 + RRF] + INGEST[Ingestion Pipeline
ingest_documents] end - - subgraph "Cloud Services" - Qdrant - Gemini + + subgraph EXTERNAL["External Systems"] + QDRANT[(Qdrant Cloud)] + GEMINI[[Google Gemini]] + DISCORD[Discord
REST + Gateway] + EMBED[Embedding Service] end -``` -### Stateless Data Flow + API --> QA + API --> HIST + + QA --> SEARCH + SEARCH --> QDRANT + QA --> GEMINI -mAIcro ensures zero-loss ingestion without local state by syncing cursors to the cloud: + LISTEN --> INGEST + INGEST --> EMBED + INGEST --> QDRANT + + AUDIT --> QDRANT + AUDIT --> DISCORD + HIST --> DISCORD + + QDRANT <--> DISCORD +``` + +### Question Answering Flow ```mermaid sequenceDiagram - participant D as Discord API - participant I as Ingestion Pipeline - participant Q as Qdrant Cloud - - I->>Q: Fetch last Message ID (Cursor) - Q-->>I: Cursor point - I->>D: Fetch messages AFTER Cursor ID - D-->>I: New Messages - I->>I: Generate Embeddings - I->>Q: Upsert Documents (Vector + Metadata) - I->>Q: Update Cursor ID (Newest Message) + participant U as User + participant API as FastAPI + participant QA as qa_service + participant HS as Hybrid Search + participant QD as Qdrant + participant LLM as Gemini + + U->>API: POST /ask {question} + API->>QA: ask_question(question) + + rect rgb(30, 50, 60) + Note over QA: Special query detection + alt "today" or "last message" + QA->>QD: scroll(order_by timestamp DESC) + QD-->>QA: filtered messages + QA->>LLM: answer from messages + else Normal query + QA->>QA: normalize (whats→what is) + QA->>HS: hybrid_search(query, k=6) + HS->>QD: vector similarity + HS->>QD: BM25 keyword match + HS->>QD: Reciprocal Rank Fusion + QD-->>HS: ranked documents + HS-->>QA: top-k documents + QA->>QA: format context (≤6000 chars) + QA->>LLM: invoke(prompt + context) + end + end + + LLM-->>QA: answer + QA-->>API: answer + API-->>U: {question, answer} ``` ---- +### How Discord Sync Works -## Discord Bot Setup +On startup, the app runs three tasks in parallel: -### Enable Intents & Permissions +1. **Audit** (`run_startup_audit`) — Fetches the last 200 messages before the cursor from each channel. Compares them against Qdrant. Deletes any points that no longer exist in Discord (offline deletes) and updates content that was edited offline. -1. Open the [Discord Developer Portal](https://discord.com/developers/applications) -2. Navigate to your application and enable **Message Content Intent** -3. Grant the bot these permissions: - - `View Channels` - - `Read Message History` +2. **Historical Ingest** (`ingest_from_discord`) — Fetches all messages _after_ each channel's cursor via the Discord REST API. Converts them to LangChain Documents, generates embeddings, and upserts them into Qdrant. -### Add Bot to Your Server +3. **Real-Time Listener** (`run_discord_listener`) — Connects to the Discord Gateway via WebSocket. Listens for `MESSAGE_CREATE`, `MESSAGE_DELETE`, and `MESSAGE_UPDATE` events. Ingests, deletes, or updates Qdrant points accordingly. Automatically reconnects with exponential backoff on disconnect. -4. Copy the bot token to `DISCORD_BOT_TOKEN` in `.env` -5. In **OAuth2 > URL Generator**, select `bot` scope and `Read Messages/View Channels` + `Read Message History` permissions -6. Use the generated URL to invite the bot to your Discord server +--- + +## API Reference + +| Method | Path | Description | +| ------ | ------------------------ | ------------------------------------ | +| `GET` | `/api/v1/health` | Service health check | +| `POST` | `/api/v1/ask` | Answer a question via RAG | +| `POST` | `/api/v1/ingest/discord` | Trigger Discord historical ingestion | + +### Examples -### Configure Channels +```bash +# Health check +curl http://localhost:8000/api/v1/health +# {"status":"ok","service":"mAIcro","version":"0.1.0","org":"MicroClub","llm_provider":"google"} + +# Ask a question +curl -X POST http://localhost:8000/api/v1/ask \ + -H "Content-Type: application/json" \ + -d '{"question":"What are the rules for joining a workshop?"}' +# {"question":"What are the rules for joining a workshop?","answer":"..."} -7. Enable Discord Developer Mode (User Settings > Advanced > Developer Mode) -8. Right-click any channel and copy its ID -9. Add channel IDs to your configuration +# Trigger ingestion +curl -X POST http://localhost:8000/api/v1/ingest/discord +# {"status":"ok","documents_ingested":42,"details":{"channels":{"123456789":42},"errors":{}}} +``` --- -## Project Structure - -```text -. -├── src/ -│ ├── api/ # HTTP routes & schemas -│ ├── core/ # Configuration & ingestion logic -│ ├── services/ # Business logic (QA system) -│ └── main.py # Application entrypoint -├── tests/ # Unit & integration tests -├── Dockerfile # Optimized multi-stage build -├── docker-compose.yml # Service definitions -└── pyproject.toml # Dependencies & metadata +## Deployment + +### Development + +```bash +docker compose -f docker-compose.dev.yml up -d +``` + +Includes mAIcro and a local Qdrant instance for testing without cloud credentials. + +### Production + +```bash +docker compose up -d ``` -> **Note:** This service uses **Google Gemini** by default. Set `LLM_PROVIDER=google` in your `.env`. +Set `QDRANT_URL` and `QDRANT_API_KEY` to your Qdrant Cloud instance. The multi-stage Dockerfile produces a lean production image with health checks. --- ## Use Cases -mAIcro is designed to be **adaptable to different organizations** without rebuilding from scratch. Possible deployments include: - -- **Student Clubs** Centralize event info, team opportunities, and FAQs -- **Online Communities** Consolidate announcements and member documentation -- **Companies** Unify internal policies, documentation, and knowledge bases -- **NGOs** Provide instant access to mission-critical information -- **Developer Communities** Answer technical questions based on shared resources +- **Student Clubs** — Event info, team opportunities, FAQs, and workshop announcements +- **Online Communities** — Consolidated announcements and member documentation +- **Companies** — Internal policies, documentation, and knowledge bases +- **NGOs** — Instant access to mission-critical organizational information +- **Developer Communities** — Technical Q&A grounded in shared resources and past discussions --- ## Future Extensions -mAIcro can evolve beyond question-answering. Planned features include: - -### Agentic AI -- Automate workflows -- Summarize announcements -- Notify members about relevant events -- Manage knowledge updates autonomously - -### Multi-Platform Integration -- Web dashboards -- APIs for third-party tools -- Notion, Google Docs, Slack integrations -- Knowledge management platforms +- **Agentic AI** — Automate workflows, summarize announcements, notify members about events +- **Multi-Platform Integration** — Notion, Slack, Google Docs, and other knowledge platforms +- **Web Dashboard** — Visual knowledge browser and query analytics +- **Third-Party API** — Public API for external tool integrations --- ## Contributing -We welcome professional contributions. Please see [CONTRIBUTING.md](CONTRIBUTING.md) for development standards and [SECURITY.md](SECURITY.md) for reporting vulnerabilities. +Contributions are welcome. Please read [CONTRIBUTING.md](CONTRIBUTING.md) before submitting PRs. --- -© 2026 Micro Club. 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