release: promote develop to main — 19.1.0 (ConfigMulti/ConfigEntsoe dataclasses)

CHANGELOG.md

@@ -1,3 +1,10 @@
+## [19.1.0-rc.1](https://github.com/sequential-parameter-optimization/spotforecast2-safe/compare/v19.0.0...v19.1.0-rc.1) (2026-06-07)
+
+
+### Features
+
+* **configurator:** convert ConfigMulti and ConfigEntsoe to dataclasses ([184a3d9](https://github.com/sequential-parameter-optimization/spotforecast2-safe/commit/184a3d96287a75b0748c161114b2a980b741deb6)), closes [#4](https://github.com/sequential-parameter-optimization/spotforecast2-safe/issues/4)
+
 ## [19.0.0](https://github.com/sequential-parameter-optimization/spotforecast2-safe/compare/v18.1.0...v19.0.0) (2026-06-07)
 
 

MODEL_CARD.md

@@ -7,7 +7,7 @@ This card describes what spotforecast2-safe is, how to use it safely, the condit
 | Field | Value |
 | --- | --- |
 | Name | spotforecast2-safe |
-| Version | 19.0.0 |
+| Version | 19.1.0-rc.1 |
 | Type | Deterministic Python library for time series feature engineering and recursive multi-step forecasting. It performs no training of its own. |
 | Developed by | Thomas Bartz-Beielstein, ORCID [0000-0002-5938-5158](https://orcid.org/0000-0002-5938-5158) |
 | Distributed by | the `sequential-parameter-optimization` GitHub organization |
@@ -18,7 +18,7 @@ This card describes what spotforecast2-safe is, how to use it safely, the condit
 
 The library depends only on numpy, pandas, scikit-learn, lightgbm, numba, pyarrow, requests, feature-engine, holidays, astral, and tqdm. It deliberately excludes plotly, matplotlib, spotoptim, optuna, torch, and tensorflow, so no plotting or automated-tuning code ships in this package.
 
-Two Common Platform Enumeration (CPE) identifiers let vulnerability-tracking and software bill of materials (SBOM) tools recognize the package. The wildcard identifier `cpe:2.3:a:sequential_parameter_optimization:spotforecast2_safe:*:*:*:*:*:*:*:*` matches any release; the current release is `cpe:2.3:a:sequential_parameter_optimization:spotforecast2_safe:19.0.0:*:*:*:*:*:*:*`.
+Two Common Platform Enumeration (CPE) identifiers let vulnerability-tracking and software bill of materials (SBOM) tools recognize the package. The wildcard identifier `cpe:2.3:a:sequential_parameter_optimization:spotforecast2_safe:*:*:*:*:*:*:*:*` matches any release; the current release is `cpe:2.3:a:sequential_parameter_optimization:spotforecast2_safe:19.1.0-rc.1:*:*:*:*:*:*:*`.
 
 The library itself is a low-risk component: it is deterministic, its source is fully inspectable, and it fails safe on invalid input. It is built to support high-risk AI systems in the sense of the EU AI Act, but it is not itself such a system. When it is embedded in a high-risk deployment, the duties that attach to that system fall on the integrator, not on the library.
 
@@ -30,7 +30,7 @@ Responsibilities are divided as follows.
 | Distribution | sequential-parameter-optimization on GitHub | repository issue tracker |
 | Deployment, operation, and audit | the system integrator | defined per deployment |
 
-The current release is 19.0.0, with a stable public interface pinned in `spotforecast2_safe.__init__.__all__`. The full version history, including release dates, is recorded in `CHANGELOG.md` and on the GitHub Releases page; it is maintained automatically by the release pipeline and is not repeated here.
+The current release is 19.1.0-rc.1, with a stable public interface pinned in `spotforecast2_safe.__init__.__all__`. The full version history, including release dates, is recorded in `CHANGELOG.md` and on the GitHub Releases page; it is maintained automatically by the release pipeline and is not repeated here.
 
 ## 2. Intended Use and Scope
 
@@ -216,7 +216,7 @@ Maintainer: Thomas Bartz-Beielstein, ORCID [0000-0002-5938-5158](https://orcid.o
 }
 ```
 
-Or as a formatted reference: Bartz-Beielstein, T. (2026). *spotforecast2-safe: Safety-critical subset of spotforecast2* (Version 19.0.0) [Computer software]. https://github.com/sequential-parameter-optimization/spotforecast2-safe
+Or as a formatted reference: Bartz-Beielstein, T. (2026). *spotforecast2-safe: Safety-critical subset of spotforecast2* (Version 19.1.0-rc.1) [Computer software]. https://github.com/sequential-parameter-optimization/spotforecast2-safe
 
 The technical report (`bart26h/index.qmd`) is the long-form reference for design rationale, compliance mapping, and evaluation protocol.
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "spotforecast2-safe"
-version = "19.0.0"
+version = "19.1.0-rc.1"
 description = "spotforecast2-safe (Core): Safety-critical time series forecasting for production"
 readme = "README.md"
 license = { text = "AGPL-3.0-or-later" }

src/spotforecast2_safe/configurator/_base_config.py

@@ -7,7 +7,8 @@
 defaults and the same ``get_params`` / ``set_params`` semantics. Those were
 previously hand-duplicated in both classes, which let fields drift between the
 two copies. These helpers centralise the logic so each config only declares its
-ordered parameter names (``_PARAM_NAMES``) and its ``__init__``; the
+``@dataclass`` fields; ``_PARAM_NAMES`` is derived from
+``dataclasses.fields()`` (so it can never drift from the fields), and the
 ``get_params`` / ``set_params`` behaviour and the period defaults live here.
 """
 
@@ -270,8 +271,7 @@ def validate_config(config: object) -> None:
     on_weather_failure = getattr(config, "on_weather_failure", None)
     if on_weather_failure is not None and on_weather_failure not in ("raise", "skip"):
         raise ValueError(
-            "on_weather_failure must be 'raise' or 'skip'; got "
-            f"{on_weather_failure!r}."
+            f"on_weather_failure must be 'raise' or 'skip'; got {on_weather_failure!r}."
         )
 
     on_exog_provider_failure = getattr(config, "on_exog_provider_failure", None)