diff --git a/copilot_changes.txt b/copilot_changes.txt new file mode 100644 index 000000000..4b8b510a2 --- /dev/null +++ b/copilot_changes.txt @@ -0,0 +1,824 @@ +diff --git a/extralit-frontend/components/base/base-render-table/RenderTable.vue b/extralit-frontend/components/base/base-render-table/RenderTable.vue +index ff6874489..ab73e5afb 100644 +--- a/extralit-frontend/components/base/base-render-table/RenderTable.vue ++++ b/extralit-frontend/components/base/base-render-table/RenderTable.vue +@@ -150,6 +150,7 @@ export default { + // } + // }, + // }, ++ + validation: { + handler(newValidation, oldValidation) { + if (this.isLoaded) { +@@ -196,7 +197,7 @@ export default { + var configs = this.tableJSON.schema.fields.map((column: DataFrameField) => { + const commonConfig = this.generateColumnConfig(column.name); + const editableConfig = this.generateColumnEditableConfig(column.name); +- return { ...commonConfig, ...editableConfig }; ++ return { ...commonConfig, ...editableConfig, ...column }; + }); + + if (!this.editable) { +@@ -913,6 +914,7 @@ export default { + + this.tabulator.on("cellEdited", (cell: CellComponent) => { + this.updateTableJsonData(); ++ this.$emit("cell-edited", cell); + // const rowPos: number | boolean = cell.getRow().getPosition(); + // if (typeof rowPos != 'number' || rowPos < 0 || rowPos > this.tableJSON.data.length) return; + // this.$set(this.tableJSON.data[rowPos-1], cell.getColumn().getField(), cell.getValue()); +diff --git a/extralit-frontend/components/base/base-simple-table/BaseSimpleTable.vue b/extralit-frontend/components/base/base-simple-table/BaseSimpleTable.vue +index 15a62bbc4..3a7e5435a 100644 +--- a/extralit-frontend/components/base/base-simple-table/BaseSimpleTable.vue ++++ b/extralit-frontend/components/base/base-simple-table/BaseSimpleTable.vue +@@ -6,6 +6,7 @@ + :editable="editable" + :hasValidValues="hasValidValues" + :questions="questions" ++ :validation="validation || validators" + @table-built="$emit('table-built')" + @row-click="(e, row) => $emit('row-click', e, row)" + @cell-edited="(cell) => $emit('cell-edited', cell)" +@@ -71,9 +72,11 @@ export default { + computed: { + // Convert simple data/columns to TableData format for RenderTable + computedTableJSON(): TableData { ++ // FIX 1: Use "...col" to preserve editor config (dropdowns), validators, and freezing + const fields = this.columns.map((col: any) => ({ + name: col.field, + type: col.type || "string", ++ ...col // <--- THIS IS THE MAGIC FIX + })); + + const schema = new DataFrameSchema( +@@ -89,7 +92,14 @@ export default { + null + ); + +- if (this.validation) { ++ // FIX 2: Handle both 'validation' and 'validators' props ++ // ImportFileUpload passes :validators, so we must prioritize that. ++ if (this.validators) { ++ // We wrap it in a structure RenderTable understands ++ tableData.validation = { columns: {}, ...this.validation }; ++ // We might need to pass this directly to the RenderTable prop instead, ++ // but attaching it to tableData is the safest way for the Schema to know about it. ++ } else if (this.validation) { + tableData.validation = this.validation; + } + +diff --git a/extralit-frontend/components/features/import/analysis/useImportAnalysisTableViewModel.ts b/extralit-frontend/components/features/import/analysis/useImportAnalysisTableViewModel.ts +index 99eb2e8eb..825cd0a6a 100644 +--- a/extralit-frontend/components/features/import/analysis/useImportAnalysisTableViewModel.ts ++++ b/extralit-frontend/components/features/import/analysis/useImportAnalysisTableViewModel.ts +@@ -98,6 +98,8 @@ export const useImportAnalysisTableViewModel = (props: { + workspaceId: props.workspace?.id, + dataframeLength: props.dataframeData?.data?.length, + matchedFilesLength: props.pdfData?.matchedFiles?.length, ++ // Add deep watch on dataframe data to catch cell edits ++ dataframeDataHash: props.dataframeData ? JSON.stringify(props.dataframeData.data) : null, + }), + (newVal, oldVal) => { + // Only trigger if we have all required data and something actually changed +@@ -107,7 +109,8 @@ export const useImportAnalysisTableViewModel = (props: { + !oldVal || + newVal.workspaceId !== oldVal.workspaceId || + newVal.dataframeLength !== oldVal.dataframeLength || +- newVal.matchedFilesLength !== oldVal.matchedFilesLength ++ newVal.matchedFilesLength !== oldVal.matchedFilesLength || ++ newVal.dataframeDataHash !== oldVal.dataframeDataHash + ) { + analyzeImport(props.workspace!, props.dataframeData!, props.pdfData!.matchedFiles); + } +diff --git a/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue b/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue +index 381d641e3..e594d8e90 100644 +--- a/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue ++++ b/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue +@@ -12,6 +12,34 @@ + + + ++ ++ ++
++
++

Reference Metadata

++

++ Create reference entries for your PDFs. The reference column must be unique, and you can select which PDFs to associate with each entry in the files column. ++

++
++ ++ ++ ++ ++
++

Unmapped PDF Files ({{ unmappedPdfFiles.length }})

++
    ++
  • {{ file }}
    • ++
++
++
+ + + +@@ -24,6 +52,7 @@ + import TableUpload from "./TableUpload.vue"; + import PdfUpload from "./PdfUpload.vue"; + import ImportSummarySidebar from "./ImportSummarySidebar.vue"; ++ import BaseSimpleTable from "~/components/base/base-simple-table/BaseSimpleTable.vue"; + import { useImportFileUploadViewModel } from "./useImportFileUploadViewModel"; + + export default { +@@ -33,6 +62,7 @@ + TableUpload, + PdfUpload, + ImportSummarySidebar, ++ BaseSimpleTable, + } as any, + + props: { +@@ -686,5 +716,68 @@ + flex-direction: column; + } + } ++ ++ // Editable Table Styles ++ &__editable-table { ++ display: flex; ++ flex-direction: column; ++ gap: $base-space * 2; ++ padding: $base-space * 3; ++ background: var(--bg-accent-grey-1); ++ border: 1px solid var(--border-field); ++ border-radius: $border-radius-m; ++ } ++ ++ &__editable-table-header { ++ margin-bottom: $base-space; ++ ++ .import-file-upload__section-title { ++ font-size: 1.2rem; ++ font-weight: 600; ++ margin-bottom: $base-space; ++ color: var(--fg-primary); ++ } ++ ++ .import-file-upload__section-description { ++ color: var(--fg-secondary); ++ font-size: 0.9rem; ++ margin-bottom: 0; ++ line-height: 1.4; ++ ++ strong { ++ color: var(--fg-primary); ++ font-weight: 600; ++ } ++ } ++ } ++ ++ &__unmapped-pdfs { ++ margin-top: $base-space * 2; ++ padding: $base-space * 2; ++ background: var(--bg-banner-warning); ++ border: 1px solid var(--color-warning); ++ border-radius: $border-radius; ++ ++ h4 { ++ margin: 0 0 $base-space 0; ++ color: var(--fg-primary); ++ font-size: 1rem; ++ font-weight: 600; ++ } ++ ++ .unmapped-files-list { ++ margin: 0; ++ padding-left: $base-space * 3; ++ max-height: 200px; ++ overflow-y: auto; ++ ++ li { ++ color: var(--fg-primary); ++ font-size: 0.9rem; ++ margin-bottom: calc($base-space / 2); ++ font-family: $quaternary-font-family; ++ } ++ } ++ } + } + +diff --git a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts +new file mode 100644 +index 000000000..9cefe37c8 +--- /dev/null ++++ b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts +@@ -0,0 +1,201 @@ ++import { ref } from "@nuxtjs/composition-api"; ++import { useImportFileUploadViewModel } from "./useImportFileUploadViewModel"; ++ ++// Mock the dependencies ++jest.mock("ts-injecty", () => ({ ++ useResolve: jest.fn(), ++})); ++ ++jest.mock("~/v1/domain/entities/table/TableData", () => ({ ++ TableData: jest.fn().mockImplementation((data, schema, validation) => ({ ++ data, ++ schema, ++ validation, ++ })), ++})); ++ ++jest.mock("~/v1/domain/entities/table/Schema", () => ({ ++ DataFrameSchema: jest.fn().mockImplementation((fields, primaryKey, foreignKeys, name) => ({ ++ fields, ++ primaryKey, ++ foreignKeys, ++ name, ++ })), ++ DataFrameField: jest.fn(), ++})); ++ ++jest.mock("~/v1/domain/entities/table/Validation", () => ({ ++ Validators: jest.fn(), ++})); ++ ++describe("useImportFileUploadViewModel", () => { ++ let emit: jest.Mock; ++ let props: any; ++ ++ beforeEach(() => { ++ emit = jest.fn(); ++ props = { ++ initialBibData: { ++ fileName: "", ++ dataframeData: null, ++ rawContent: "", ++ }, ++ initialPdfData: { ++ matchedFiles: [], ++ unmatchedFiles: [], ++ totalFiles: 0, ++ }, ++ }; ++ }); ++ ++ describe("shouldShowEditableTable", () => { ++ it("should return true when PDFs are uploaded but no bibliography", () => { ++ const viewModel = useImportFileUploadViewModel(props, { emit }); ++ ++ // Simulate PDF upload ++ viewModel.handlePdfUpdate({ ++ matchedFiles: [], ++ unmatchedFiles: [{ name: "test.pdf" }], ++ totalFiles: 1, ++ }); ++ ++ expect(viewModel.shouldShowEditableTable.value).toBe(true); ++ }); ++ ++ it("should return false when no PDFs are uploaded", () => { ++ const viewModel = useImportFileUploadViewModel(props, { emit }); ++ ++ expect(viewModel.shouldShowEditableTable.value).toBe(false); ++ }); ++ ++ it("should return false when bibliography is uploaded", () => { ++ const viewModel = useImportFileUploadViewModel(props, { emit }); ++ ++ // Simulate PDF upload ++ viewModel.handlePdfUpdate({ ++ matchedFiles: [], ++ unmatchedFiles: [{ name: "test.pdf" }], ++ totalFiles: 1, ++ }); ++ ++ // Simulate bibliography upload ++ viewModel.handleBibUpdate({ ++ fileName: "test.bib", ++ dataframeData: { ++ data: [{ reference: "test2023", title: "Test Paper" }], ++ schema: {}, ++ }, ++ rawContent: "", ++ }); ++ ++ expect(viewModel.shouldShowEditableTable.value).toBe(false); ++ }); ++ }); ++ ++ describe("editableTableColumns", () => { ++ it("should include reference and files columns with proper configuration", () => { ++ const viewModel = useImportFileUploadViewModel(props, { emit }); ++ ++ // Simulate PDF upload ++ viewModel.handlePdfUpdate({ ++ matchedFiles: [], ++ unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }], ++ totalFiles: 2, ++ }); ++ ++ const columns = viewModel.editableTableColumns.value; ++ const referenceCol = columns.find((col: any) => col.field === "reference"); ++ const filesCol = columns.find((col: any) => col.field === "files"); ++ ++ expect(referenceCol).toBeDefined(); ++ expect(referenceCol?.frozen).toBe(true); ++ expect(referenceCol?.validator).toContain("required"); ++ expect(referenceCol?.validator).toContain("unique"); ++ ++ expect(filesCol).toBeDefined(); ++ expect(filesCol?.editor).toBe("list"); ++ expect(filesCol?.editorParams?.multiselect).toBe(true); ++ expect(filesCol?.editorParams?.values).toHaveLength(2); ++ }); ++ }); ++ ++ describe("unmappedPdfFiles", () => { ++ it("should return all PDFs when no files are assigned", () => { ++ const viewModel = useImportFileUploadViewModel(props, { emit }); ++ ++ viewModel.handlePdfUpdate({ ++ matchedFiles: [], ++ unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }], ++ totalFiles: 2, ++ }); ++ ++ expect(viewModel.unmappedPdfFiles.value).toEqual(["test1.pdf", "test2.pdf"]); ++ }); ++ ++ it("should exclude assigned PDFs from unmapped list", () => { ++ const viewModel = useImportFileUploadViewModel(props, { emit }); ++ ++ viewModel.handlePdfUpdate({ ++ matchedFiles: [], ++ unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }], ++ totalFiles: 2, ++ }); ++ ++ // Manually set table data with one assigned file ++ viewModel.editableTableData.value = [ ++ { ++ reference: "test2023", ++ files: ["test1.pdf"], ++ }, ++ ]; ++ ++ expect(viewModel.unmappedPdfFiles.value).toEqual(["test2.pdf"]); ++ }); ++ }); ++ ++ describe("syncEditableTableToBibData", () => { ++ it("should convert editable table data to bibData format", () => { ++ const viewModel = useImportFileUploadViewModel(props, { emit }); ++ ++ viewModel.editableTableData.value = [ ++ { ++ reference: "test2023", ++ title: "Test Paper", ++ authors: "John Doe", ++ year: "2023", ++ files: ["test.pdf"], ++ }, ++ ]; ++ ++ viewModel.syncEditableTableToBibData(); ++ ++ expect(viewModel.bibData.value.dataframeData).toBeDefined(); ++ expect(viewModel.bibData.value.dataframeData?.data).toHaveLength(1); ++ expect(viewModel.bibData.value.dataframeData?.data[0]).toHaveProperty("reference", "test2023"); ++ expect(viewModel.bibData.value.dataframeData?.data[0]).toHaveProperty("filePaths"); ++ expect(viewModel.bibData.value.dataframeData?.data[0].filePaths).toEqual(["test.pdf"]); ++ }); ++ ++ it("should filter out empty rows", () => { ++ const viewModel = useImportFileUploadViewModel(props, { emit }); ++ ++ viewModel.editableTableData.value = [ ++ { ++ reference: "test2023", ++ title: "Test Paper", ++ files: ["test.pdf"], ++ }, ++ { ++ reference: "", ++ title: "", ++ files: [], ++ }, ++ ]; ++ ++ viewModel.syncEditableTableToBibData(); ++ ++ expect(viewModel.bibData.value.dataframeData).toBeDefined(); ++ expect(viewModel.bibData.value.dataframeData?.data).toHaveLength(1); ++ }); ++ }); ++}); +diff --git a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts +index 1ebb8a8ca..e3833ca1f 100644 +--- a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts ++++ b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts +@@ -5,6 +5,9 @@ + + import { ref, computed, watch, nextTick } from "@nuxtjs/composition-api"; + import type { BibliographyData, PdfData } from "./types"; ++import { TableData } from "~/v1/domain/entities/table/TableData"; ++import { DataFrameSchema, DataFrameField } from "~/v1/domain/entities/table/Schema"; ++import { Validators } from "~/v1/domain/entities/table/Validation"; + + export const useImportFileUploadViewModel = (props: any, { emit }: any) => { + // Internal flag to prevent recursive updates during initialization +@@ -23,12 +26,179 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { + unmatchedFiles: [], + totalFiles: 0, + }); ++ const hasAutoSubmitted = ref(false); ++ ++ // Editable table data for PDF-only uploads ++ const editableTableData = ref([]); ++ const editableTable = ref(null); + + // Computed properties + const isValid = computed(() => { + return pdfData.value.totalFiles > 0; + }); + ++ // Check if we should show the editable table (PDFs uploaded but no bibliography) ++ const shouldShowEditableTable = computed(() => { ++ const hasPdfs = pdfData.value.totalFiles > 0; ++ const noBibliography = !bibData.value.dataframeData || bibData.value.dataframeData.data.length === 0; ++ return hasPdfs && noBibliography; ++ }); ++ ++ // Get all PDF file names ++ const allPdfFileNames = computed(() => { ++ const matched = pdfData.value.matchedFiles.map((mf: any) => mf.file.name); ++ const unmatched = pdfData.value.unmatchedFiles.map((f: File) => f.name); ++ return [...matched, ...unmatched]; ++ }); ++ ++ // Get unmapped PDF files (PDFs not assigned to any reference) ++ const unmappedPdfFiles = computed(() => { ++ const assignedFiles = new Set(); ++ ++ // 🔑 Prefer Tabulator ONLY when ready ++ const rows = editableTable.value ++ ? editableTable.value.getData() ++ : editableTableData.value; ++ ++ rows.forEach((row: any) => { ++ // 🔑 Ignore empty rows ++ if (!row.reference || !row.reference.trim()) return; ++ ++ if (!row.files) return; ++ (Array.isArray(row.files) ? row.files : [row.files]).forEach( ++ (file: string) => assignedFiles.add(file) ++ ); ++ }); ++ ++ ++ return allPdfFileNames.value.filter( ++ fileName => !assignedFiles.has(fileName) ++ ); ++ }); ++ ++ ++ ++ // Configure editable table columns with validators ++ const editableTableColumns = computed(() => { ++ const pdfFileOptions = allPdfFileNames.value.map(name => ({ ++ label: name, ++ value: name, ++ })); ++ ++ return [ ++ { ++ field: "reference", ++ title: "Reference *", ++ frozen: true, ++ width: 200, ++ editor: "input", ++ validator: ["required", "unique"], ++ }, ++ { ++ field: "title", ++ title: "Title", ++ width: 300, ++ editor: "input", ++ }, ++ { ++ field: "authors", ++ title: "Authors", ++ width: 200, ++ editor: "input", ++ }, ++ { ++ field: "year", ++ title: "Year", ++ width: 100, ++ editor: "input", ++ }, ++ { ++ field: "journal", ++ title: "Journal", ++ width: 200, ++ editor: "input", ++ }, ++ { ++ field: "doi", ++ title: "DOI", ++ width: 150, ++ editor: "input", ++ }, ++ { ++ field: "files", ++ title: "Files *", ++ frozen: true, ++ frozenRight: true, ++ width: 200, ++ editor: "list", ++ ++ editorParams: function (cell: any) { ++ const table = cell.getTable(); ++ const row = cell.getRow(); ++ const field = cell.getField(); ++ ++ // ✅ Source of truth: uploaded PDFs ++ const allFiles = new Set(allPdfFileNames.value); ++ ++ // ✅ Files already used in other rows ++ const usedFiles = new Set(); ++ ++ table.getRows().forEach((r: any) => { ++ if (r === row) return; ++ const v = r.getData()[field]; ++ if (!v) return; ++ (Array.isArray(v) ? v : [v]).forEach((f: string) => ++ usedFiles.add(f) ++ ); ++ }); ++ ++ // ✅ Allow current row selections ++ const current = cell.getValue() || []; ++ const currentSet = new Set( ++ Array.isArray(current) ? current : [current] ++ ); ++ ++ // ✅ Compute final list AT CLICK TIME ++ const values = [...allFiles] ++ .filter(f => !usedFiles.has(f) || currentSet.has(f)) ++ .map(f => ({ label: f, value: f })); ++ ++ return { ++ values, ++ multiselect: true, ++ autocomplete: false, ++ listOnEmpty: true, ++ clearable: true, ++ }; ++ }, ++ ++ validator: ["required"], ++ ++ formatter: (cell: any) => { ++ const value = cell.getValue(); ++ if (!value || (Array.isArray(value) && value.length === 0)) { ++ return 'No files'; ++ } ++ const files = Array.isArray(value) ? value : [value]; ++ const count = files.length; ++ return `${count} file${count !== 1 ? 's' : ''}`; ++ }, ++ } ++ ++ ]; ++ }); ++ ++ // Validators for the editable table ++ const editableTableValidators = computed(() => { ++ return { ++ reference: [ ++ { type: "unique", parameters: { column: "reference" } }, ++ "required", ++ ], ++ files: ["required"], ++ }; ++ }); ++ + // Event handlers + const handleBibUpdate = (data: any) => { + bibData.value = { +@@ -36,22 +206,49 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { + dataframeData: data.dataframeData || null, + rawContent: data.rawContent || "", + }; ++ ++ // If a bibliography is uploaded, clear the editable table data ++ if (data.dataframeData && data.dataframeData.data && data.dataframeData.data.length > 0) { ++ editableTableData.value = []; ++ } ++ + emitBibUpdate(); + }; + + const handlePdfUpdate = (data: any) => { ++ hasAutoSubmitted.value = false; + pdfData.value = { + matchedFiles: data.matchedFiles || [], + unmatchedFiles: data.unmatchedFiles || [], + totalFiles: data.totalFiles || 0, + }; + ++ // Initialize editable table if needed (PDFs but no bib) ++ if (shouldShowEditableTable.value && editableTableData.value.length === 0) { ++ initializeEditableTable(); ++ } ++ + // Update dataframe data with matched file paths + updateDataframeWithFilePaths(data.matchedFiles || []); + + emitPdfUpdate(); + }; + ++ const handleTableCellEdit = (cell: any) => { ++ // Keep Vue mirror in sync ONLY ++ editableTableData.value = editableTable.value?.getData() || []; ++ }; ++ ++ const handleTableBuilt = () => { ++ // Table is ready, ensure data is in sync ++ if (editableTable.value) { ++ const tableData = editableTable.value.getData(); ++ if (tableData && tableData.length > 0) { ++ editableTableData.value = tableData; ++ } ++ } ++ }; ++ + // Event emitters + const emitBibUpdate = () => { + emit("bib-update", { +@@ -118,6 +315,86 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { + emitBibUpdate(); + }; + ++ // Initialize editable table with empty rows ++ const initializeEditableTable = () => { ++ // Start with a few empty rows ++ const initialRows = Array.from({ length: 3 }, (_, i) => ({ ++ reference: "", ++ title: "", ++ authors: "", ++ year: "", ++ journal: "", ++ doi: "", ++ files: [], ++ })); ++ ++ editableTableData.value = initialRows; ++ }; ++ ++ // Sync editable table data to bibData format ++ // Sync editable table data to bibData format ++ const syncEditableTableToBibData = () => { ++ if (editableTableData.value.length === 0) { ++ return; ++ } ++ ++ // Filter out empty rows ++ const validRows = editableTableData.value.filter((row: any) => ++ row.reference && row.reference.trim().length > 0 ++ ); ++ ++ if (validRows.length === 0) { ++ return; ++ } ++ ++ // Define schema ++ const fields: DataFrameField[] = [ ++ { name: "reference", type: "string" }, ++ { name: "title", type: "string" }, ++ { name: "authors", type: "string" }, ++ { name: "year", type: "string" }, ++ { name: "journal", type: "string" }, ++ { name: "doi", type: "string" }, ++ { name: "files", type: "string" }, ++ ]; ++ ++ const schema = new DataFrameSchema( ++ fields, ++ ["reference"], ++ null, ++ "manual-entry" ++ ); ++ ++ // Process rows: Format 'files' for compatibility ++ const processedRows = validRows.map((row: any) => { ++ // 1. Normalize files to an Array (Safe handling) ++ const filesArray = Array.isArray(row.files) ? row.files : (row.files ? [row.files] : []); ++ ++ return { ++ ...row, ++ // 2. THE FIX: Convert Array back to String for Step 2 display ++ // Step 2 expects "file1.pdf, file2.pdf" and tries to .split() it. ++ // We give it exactly what it wants. ++ files: filesArray.join(', '), ++ ++ // 3. Keep the real Array for the backend logic ++ filePaths: filesArray, ++ }; ++ }); ++ ++ const tableData = new TableData( ++ processedRows, ++ schema, ++ null ++ ); ++ ++ bibData.value.dataframeData = tableData; ++ bibData.value.fileName = "manual-entry.csv"; ++ ++ // Re-emit the bib update with the generated dataframe ++ emitBibUpdate(); ++ }; ++ + // Initialize component with existing data when navigating back + const initializeWithExistingData = () => { + // Set flag to prevent recursive updates +@@ -154,7 +431,7 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { + const reset = () => { + // Set flag to prevent recursive updates during reset + isInitializing.value = true; +- ++ hasAutoSubmitted.value = false; + // Reset bibliography data + bibData.value = { + fileName: "", +@@ -162,6 +439,7 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { + rawContent: "", + }; + ++ + // Reset PDF data + pdfData.value = { + matchedFiles: [], +@@ -215,21 +493,52 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { + { deep: true, immediate: true } + ); + ++ watch( ++ unmappedPdfFiles, ++ (newUnmapped) => { ++ // Only auto-submit when: ++ // 1. Table exists ++ // 2. No unmapped PDFs remain ++ // 3. We haven't already submitted ++ if ( ++ editableTable.value && ++ newUnmapped.length === 0 && ++ !hasAutoSubmitted.value ++ ) { ++ hasAutoSubmitted.value = true; ++ syncEditableTableToBibData(); ++ } ++ }, ++ { immediate: false } ++ ); ++ ++ + return { + // Reactive state + isInitializing, + bibData, + pdfData, ++ editableTableData, ++ editableTable, + + // Computed + isValid, ++ shouldShowEditableTable, ++ allPdfFileNames, ++ unmappedPdfFiles, ++ editableTableColumns, ++ editableTableValidators, + + // Methods + handleBibUpdate, + handlePdfUpdate, ++ handleTableCellEdit, ++ handleTableBuilt, + emitBibUpdate, + emitPdfUpdate, + updateDataframeWithFilePaths, ++ initializeEditableTable, ++ syncEditableTableToBibData, + initializeWithExistingData, + reset, + }; diff --git a/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue b/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue index c426a4ca3..eabc68b3e 100644 --- a/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue +++ b/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue @@ -25,6 +25,7 @@ import TableUpload from "./TableUpload.vue"; import PdfUpload from "./PdfUpload.vue"; import ImportSummarySidebar from "./ImportSummarySidebar.vue"; + import BaseSimpleTable from "~/components/base/base-simple-table/BaseSimpleTable.vue"; import { useImportFileUploadViewModel } from "./useImportFileUploadViewModel"; export default { @@ -34,6 +35,7 @@ TableUpload, PdfUpload, ImportSummarySidebar, + BaseSimpleTable, } as any, props: { diff --git a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts new file mode 100644 index 000000000..9cefe37c8 --- /dev/null +++ b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts @@ -0,0 +1,201 @@ +import { ref } from "@nuxtjs/composition-api"; +import { useImportFileUploadViewModel } from "./useImportFileUploadViewModel"; + +// Mock the dependencies +jest.mock("ts-injecty", () => ({ + useResolve: jest.fn(), +})); + +jest.mock("~/v1/domain/entities/table/TableData", () => ({ + TableData: jest.fn().mockImplementation((data, schema, validation) => ({ + data, + schema, + validation, + })), +})); + +jest.mock("~/v1/domain/entities/table/Schema", () => ({ + DataFrameSchema: jest.fn().mockImplementation((fields, primaryKey, foreignKeys, name) => ({ + fields, + primaryKey, + foreignKeys, + name, + })), + DataFrameField: jest.fn(), +})); + +jest.mock("~/v1/domain/entities/table/Validation", () => ({ + Validators: jest.fn(), +})); + +describe("useImportFileUploadViewModel", () => { + let emit: jest.Mock; + let props: any; + + beforeEach(() => { + emit = jest.fn(); + props = { + initialBibData: { + fileName: "", + dataframeData: null, + rawContent: "", + }, + initialPdfData: { + matchedFiles: [], + unmatchedFiles: [], + totalFiles: 0, + }, + }; + }); + + describe("shouldShowEditableTable", () => { + it("should return true when PDFs are uploaded but no bibliography", () => { + const viewModel = useImportFileUploadViewModel(props, { emit }); + + // Simulate PDF upload + viewModel.handlePdfUpdate({ + matchedFiles: [], + unmatchedFiles: [{ name: "test.pdf" }], + totalFiles: 1, + }); + + expect(viewModel.shouldShowEditableTable.value).toBe(true); + }); + + it("should return false when no PDFs are uploaded", () => { + const viewModel = useImportFileUploadViewModel(props, { emit }); + + expect(viewModel.shouldShowEditableTable.value).toBe(false); + }); + + it("should return false when bibliography is uploaded", () => { + const viewModel = useImportFileUploadViewModel(props, { emit }); + + // Simulate PDF upload + viewModel.handlePdfUpdate({ + matchedFiles: [], + unmatchedFiles: [{ name: "test.pdf" }], + totalFiles: 1, + }); + + // Simulate bibliography upload + viewModel.handleBibUpdate({ + fileName: "test.bib", + dataframeData: { + data: [{ reference: "test2023", title: "Test Paper" }], + schema: {}, + }, + rawContent: "", + }); + + expect(viewModel.shouldShowEditableTable.value).toBe(false); + }); + }); + + describe("editableTableColumns", () => { + it("should include reference and files columns with proper configuration", () => { + const viewModel = useImportFileUploadViewModel(props, { emit }); + + // Simulate PDF upload + viewModel.handlePdfUpdate({ + matchedFiles: [], + unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }], + totalFiles: 2, + }); + + const columns = viewModel.editableTableColumns.value; + const referenceCol = columns.find((col: any) => col.field === "reference"); + const filesCol = columns.find((col: any) => col.field === "files"); + + expect(referenceCol).toBeDefined(); + expect(referenceCol?.frozen).toBe(true); + expect(referenceCol?.validator).toContain("required"); + expect(referenceCol?.validator).toContain("unique"); + + expect(filesCol).toBeDefined(); + expect(filesCol?.editor).toBe("list"); + expect(filesCol?.editorParams?.multiselect).toBe(true); + expect(filesCol?.editorParams?.values).toHaveLength(2); + }); + }); + + describe("unmappedPdfFiles", () => { + it("should return all PDFs when no files are assigned", () => { + const viewModel = useImportFileUploadViewModel(props, { emit }); + + viewModel.handlePdfUpdate({ + matchedFiles: [], + unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }], + totalFiles: 2, + }); + + expect(viewModel.unmappedPdfFiles.value).toEqual(["test1.pdf", "test2.pdf"]); + }); + + it("should exclude assigned PDFs from unmapped list", () => { + const viewModel = useImportFileUploadViewModel(props, { emit }); + + viewModel.handlePdfUpdate({ + matchedFiles: [], + unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }], + totalFiles: 2, + }); + + // Manually set table data with one assigned file + viewModel.editableTableData.value = [ + { + reference: "test2023", + files: ["test1.pdf"], + }, + ]; + + expect(viewModel.unmappedPdfFiles.value).toEqual(["test2.pdf"]); + }); + }); + + describe("syncEditableTableToBibData", () => { + it("should convert editable table data to bibData format", () => { + const viewModel = useImportFileUploadViewModel(props, { emit }); + + viewModel.editableTableData.value = [ + { + reference: "test2023", + title: "Test Paper", + authors: "John Doe", + year: "2023", + files: ["test.pdf"], + }, + ]; + + viewModel.syncEditableTableToBibData(); + + expect(viewModel.bibData.value.dataframeData).toBeDefined(); + expect(viewModel.bibData.value.dataframeData?.data).toHaveLength(1); + expect(viewModel.bibData.value.dataframeData?.data[0]).toHaveProperty("reference", "test2023"); + expect(viewModel.bibData.value.dataframeData?.data[0]).toHaveProperty("filePaths"); + expect(viewModel.bibData.value.dataframeData?.data[0].filePaths).toEqual(["test.pdf"]); + }); + + it("should filter out empty rows", () => { + const viewModel = useImportFileUploadViewModel(props, { emit }); + + viewModel.editableTableData.value = [ + { + reference: "test2023", + title: "Test Paper", + files: ["test.pdf"], + }, + { + reference: "", + title: "", + files: [], + }, + ]; + + viewModel.syncEditableTableToBibData(); + + expect(viewModel.bibData.value.dataframeData).toBeDefined(); + expect(viewModel.bibData.value.dataframeData?.data).toHaveLength(1); + }); + }); +}); diff --git a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts index aa0cdfec1..8c9d05bea 100644 --- a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts +++ b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts @@ -5,6 +5,9 @@ import { ref, computed, watch, nextTick } from "@nuxtjs/composition-api"; import type { BibliographyData, PdfData } from "./types"; +import { TableData } from "~/v1/domain/entities/table/TableData"; +import { DataFrameSchema, DataFrameField } from "~/v1/domain/entities/table/Schema"; +import { Validators } from "~/v1/domain/entities/table/Validation"; export const useImportFileUploadViewModel = (props: any, { emit }: any) => { // Internal flag to prevent recursive updates during initialization @@ -23,12 +26,179 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { unmatchedFiles: [], totalFiles: 0, }); + const hasAutoSubmitted = ref(false); + + // Editable table data for PDF-only uploads + const editableTableData = ref([]); + const editableTable = ref(null); // Computed properties const isValid = computed(() => { return pdfData.value.totalFiles > 0; }); + // Check if we should show the editable table (PDFs uploaded but no bibliography) + const shouldShowEditableTable = computed(() => { + const hasPdfs = pdfData.value.totalFiles > 0; + const noBibliography = !bibData.value.dataframeData || bibData.value.dataframeData.data.length === 0; + return hasPdfs && noBibliography; + }); + + // Get all PDF file names + const allPdfFileNames = computed(() => { + const matched = pdfData.value.matchedFiles.map((mf: any) => mf.file.name); + const unmatched = pdfData.value.unmatchedFiles.map((f: File) => f.name); + return [...matched, ...unmatched]; + }); + + // Get unmapped PDF files (PDFs not assigned to any reference) + const unmappedPdfFiles = computed(() => { + const assignedFiles = new Set(); + + // 🔑 Prefer Tabulator ONLY when ready + const rows = editableTable.value + ? editableTable.value.getData() + : editableTableData.value; + + rows.forEach((row: any) => { + // 🔑 Ignore empty rows + if (!row.reference || !row.reference.trim()) return; + + if (!row.files) return; + (Array.isArray(row.files) ? row.files : [row.files]).forEach( + (file: string) => assignedFiles.add(file) + ); + }); + + + return allPdfFileNames.value.filter( + fileName => !assignedFiles.has(fileName) + ); + }); + + + + // Configure editable table columns with validators + const editableTableColumns = computed(() => { + const pdfFileOptions = allPdfFileNames.value.map(name => ({ + label: name, + value: name, + })); + + return [ + { + field: "reference", + title: "Reference *", + frozen: true, + width: 200, + editor: "input", + validator: ["required", "unique"], + }, + { + field: "title", + title: "Title", + width: 300, + editor: "input", + }, + { + field: "authors", + title: "Authors", + width: 200, + editor: "input", + }, + { + field: "year", + title: "Year", + width: 100, + editor: "input", + }, + { + field: "journal", + title: "Journal", + width: 200, + editor: "input", + }, + { + field: "doi", + title: "DOI", + width: 150, + editor: "input", + }, + { + field: "files", + title: "Files *", + frozen: true, + frozenRight: true, + width: 200, + editor: "list", + + editorParams: function (cell: any) { + const table = cell.getTable(); + const row = cell.getRow(); + const field = cell.getField(); + + // ✅ Source of truth: uploaded PDFs + const allFiles = new Set(allPdfFileNames.value); + + // ✅ Files already used in other rows + const usedFiles = new Set(); + + table.getRows().forEach((r: any) => { + if (r === row) return; + const v = r.getData()[field]; + if (!v) return; + (Array.isArray(v) ? v : [v]).forEach((f: string) => + usedFiles.add(f) + ); + }); + + // ✅ Allow current row selections + const current = cell.getValue() || []; + const currentSet = new Set( + Array.isArray(current) ? current : [current] + ); + + // ✅ Compute final list AT CLICK TIME + const values = [...allFiles] + .filter(f => !usedFiles.has(f) || currentSet.has(f)) + .map(f => ({ label: f, value: f })); + + return { + values, + multiselect: true, + autocomplete: false, + listOnEmpty: true, + clearable: true, + }; + }, + + validator: ["required"], + + formatter: (cell: any) => { + const value = cell.getValue(); + if (!value || (Array.isArray(value) && value.length === 0)) { + return 'No files'; + } + const files = Array.isArray(value) ? value : [value]; + const count = files.length; + return `${count} file${count !== 1 ? 's' : ''}`; + }, + } + + ]; + }); + + // Validators for the editable table + const editableTableValidators = computed(() => { + return { + reference: [ + { type: "unique", parameters: { column: "reference" } }, + "required", + ], + files: ["required"], + }; + }); + // Event handlers const handleBibUpdate = (data: any) => { bibData.value = { @@ -41,18 +211,39 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { }; const handlePdfUpdate = (data: any) => { + hasAutoSubmitted.value = false; pdfData.value = { matchedFiles: data.matchedFiles || [], unmatchedFiles: data.unmatchedFiles || [], totalFiles: data.totalFiles || 0, }; + // Initialize editable table if needed (PDFs but no bib) + if (shouldShowEditableTable.value && editableTableData.value.length === 0) { + initializeEditableTable(); + } + // Update dataframe data with matched file paths updateDataframeWithFilePaths(data.matchedFiles || []); emitPdfUpdate(); }; + const handleTableCellEdit = (cell: any) => { + // Keep Vue mirror in sync ONLY + editableTableData.value = editableTable.value?.getData() || []; + }; + + const handleTableBuilt = () => { + // Table is ready, ensure data is in sync + if (editableTable.value) { + const tableData = editableTable.value.getData(); + if (tableData && tableData.length > 0) { + editableTableData.value = tableData; + } + } + }; + // Event emitters const emitBibUpdate = () => { emit("bib-update", { @@ -119,6 +310,86 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { emitBibUpdate(); }; + // Initialize editable table with empty rows + const initializeEditableTable = () => { + // Start with a few empty rows + const initialRows = Array.from({ length: 3 }, (_, i) => ({ + reference: "", + title: "", + authors: "", + year: "", + journal: "", + doi: "", + files: [], + })); + + editableTableData.value = initialRows; + }; + + // Sync editable table data to bibData format + // Sync editable table data to bibData format + const syncEditableTableToBibData = () => { + if (editableTableData.value.length === 0) { + return; + } + + // Filter out empty rows + const validRows = editableTableData.value.filter((row: any) => + row.reference && row.reference.trim().length > 0 + ); + + if (validRows.length === 0) { + return; + } + + // Define schema + const fields: DataFrameField[] = [ + { name: "reference", type: "string" }, + { name: "title", type: "string" }, + { name: "authors", type: "string" }, + { name: "year", type: "string" }, + { name: "journal", type: "string" }, + { name: "doi", type: "string" }, + { name: "files", type: "string" }, + ]; + + const schema = new DataFrameSchema( + fields, + ["reference"], + null, + "manual-entry" + ); + + // Process rows: Format 'files' for compatibility + const processedRows = validRows.map((row: any) => { + // 1. Normalize files to an Array (Safe handling) + const filesArray = Array.isArray(row.files) ? row.files : (row.files ? [row.files] : []); + + return { + ...row, + // 2. THE FIX: Convert Array back to String for Step 2 display + // Step 2 expects "file1.pdf, file2.pdf" and tries to .split() it. + // We give it exactly what it wants. + files: filesArray.join(', '), + + // 3. Keep the real Array for the backend logic + filePaths: filesArray, + }; + }); + + const tableData = new TableData( + processedRows, + schema, + null + ); + + bibData.value.dataframeData = tableData; + bibData.value.fileName = "manual-entry.csv"; + + // Re-emit the bib update with the generated dataframe + emitBibUpdate(); + }; + // Initialize component with existing data when navigating back const initializeWithExistingData = () => { // Set flag to prevent recursive updates @@ -155,7 +426,7 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { const reset = () => { // Set flag to prevent recursive updates during reset isInitializing.value = true; - + hasAutoSubmitted.value = false; // Reset bibliography data bibData.value = { fileName: "", @@ -163,6 +434,7 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { rawContent: "", }; + // Reset PDF data pdfData.value = { matchedFiles: [], @@ -216,21 +488,52 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => { { deep: true, immediate: true } ); + watch( + unmappedPdfFiles, + (newUnmapped) => { + // Only auto-submit when: + // 1. Table exists + // 2. No unmapped PDFs remain + // 3. We haven't already submitted + if ( + editableTable.value && + newUnmapped.length === 0 && + !hasAutoSubmitted.value + ) { + hasAutoSubmitted.value = true; + syncEditableTableToBibData(); + } + }, + { immediate: false } + ); + + return { // Reactive state isInitializing, bibData, pdfData, + editableTableData, + editableTable, // Computed isValid, + shouldShowEditableTable, + allPdfFileNames, + unmappedPdfFiles, + editableTableColumns, + editableTableValidators, // Methods handleBibUpdate, handlePdfUpdate, + handleTableCellEdit, + handleTableBuilt, emitBibUpdate, emitPdfUpdate, updateDataframeWithFilePaths, + initializeEditableTable, + syncEditableTableToBibData, initializeWithExistingData, reset, }; diff --git a/extralit-server/pdm.lock b/extralit-server/pdm.lock index 9dd229c3d..8e36ee0a9 100644 --- a/extralit-server/pdm.lock +++ b/extralit-server/pdm.lock @@ -2,63 +2,71 @@ # It is not intended for manual editing. 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"sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, ] diff --git a/extralit-server/pyproject.toml b/extralit-server/pyproject.toml index 767c557d1..e8a0714aa 100644 --- a/extralit-server/pyproject.toml +++ b/extralit-server/pyproject.toml @@ -13,12 +13,8 @@ keywords = [ "human-in-the-loop", "mlops", ] -authors = [ - { name = "Extralit Labs", email = "extralit.contact@gmail.com" }, -] -maintainers = [ - { name = "Extralit Labs", email = "extralit.contact@gmail.com" }, -] +authors = [{ name = "Extralit Labs", email = "extralit.contact@gmail.com" }] +maintainers = [{ name = "Extralit Labs", email = "extralit.contact@gmail.com" }] dependencies = [ # Basic dependencies "fastapi ~= 0.115.0", @@ -47,6 +43,8 @@ dependencies = [ "httpx ~= 0.27.0", "oauthlib ~= 3.2.0", "social-auth-core ~= 4.5.0", + # LiteLLM for chat integration + "litellm >= 1.60.0", # Background processing "rq~=2.4.1", "lazy-loader>=0.4", @@ -55,8 +53,8 @@ dependencies = [ # For logging, tracebacks, printing, progressbars "rich != 13.1.0", # For CLI - "typer>=0.19.1", # spaCy only supports typer<0.10.0 - "click >= 8.2.0", # click >=8.2.0 has TypeError: Parameter.make_metavar() missing 1 required positional argument: 'ctx' + "typer>=0.19.1", # spaCy only supports typer<0.10.0 + "click >= 8.2.0", # click >=8.2.0 has TypeError: Parameter.make_metavar() missing 1 required positional argument: 'ctx' "packaging>=23.2", # For Webhooks "standardwebhooks>=1.0.0", @@ -121,7 +119,7 @@ test = [ "pytest-randomly>=3.16.0", # For mocking httpx requests and responses "respx>=0.21.1", - "ruff>=0.12.11" + "ruff>=0.12.11", ] [tool.pytest.ini_options] @@ -174,15 +172,15 @@ target-version = "py310" [tool.ruff.lint] select = [ - "F", # Pyflakes (undefined names, logical issues) - "E7", # Syntax/indentation errors - "E9", # Runtime-like errors - "E4", # Import-related errors (E401, E402, etc.) - "B012", # return in finally (can suppress real exceptions) - "B", # flake8-bugbear (broader than just B012) - "C4", # flake8-comprehensions - "I", # isort (import sorting) - "UP", # pyupgrade (modern Python syntax) + "F", # Pyflakes (undefined names, logical issues) + "E7", # Syntax/indentation errors + "E9", # Runtime-like errors + "E4", # Import-related errors (E401, E402, etc.) + "B012", # return in finally (can suppress real exceptions) + "B", # flake8-bugbear (broader than just B012) + "C4", # flake8-comprehensions + "I", # isort (import sorting) + "UP", # pyupgrade (modern Python syntax) "ASYNC", # flake8-async - async/await specific rules "PLE", # pylint errors (includes await-outside-async) "FAST", # FastAPI-specific rules (valuable for your backend) @@ -190,23 +188,33 @@ select = [ ] ignore = [ - "E402", # imports not at top (lazy / optional import patterns) - "B904", # exception chaining (will phase in later) - "UP007", # | union syntax modernization - "UP045", # Optional[...] -> X | None modernization + "E402", # imports not at top (lazy / optional import patterns) + "B904", # exception chaining (will phase in later) + "UP007", # | union syntax modernization + "UP045", # Optional[...] -> X | None modernization "UP038", - "B027", # empty abstract method not marked abstract - "B024", # abstract base class without abstract methods - "B017", # broad exception asserts in tests - "RUF012", # mutable class var typing inference - "B008", # FastAPI Depends pattern + "B027", # empty abstract method not marked abstract + "B024", # abstract base class without abstract methods + "B017", # broad exception asserts in tests + "RUF012", # mutable class var typing inference + "B008", # FastAPI Depends pattern "FAST002", # FastAPI Depends suggestion ] [tool.ruff.lint.per-file-ignores] -"__init__.py" = ["F401", "F403", "I001"] # Ignore unused imports and wildcard imports in __init__.py -"tests/**/*.py" = ["ASYNC", "F821"] # More lenient async rules in tests (ignore undefined names like forward refs/fixtures) -"src/extralit_server/cli/**/*.py" = ["UP007", "UP045"] # Typer doesn't support new union syntax +"__init__.py" = [ + "F401", + "F403", + "I001", +] # Ignore unused imports and wildcard imports in __init__.py +"tests/**/*.py" = [ + "ASYNC", + "F821", +] # More lenient async rules in tests (ignore undefined names like forward refs/fixtures) +"src/extralit_server/cli/**/*.py" = [ + "UP007", + "UP045", +] # Typer doesn't support new union syntax [tool.pdm.scripts] _.env_file = ".env.dev" diff --git a/extralit-server/src/extralit_server/api/handlers/v1/chat.py b/extralit-server/src/extralit_server/api/handlers/v1/chat.py new file mode 100644 index 000000000..644e5f94b --- /dev/null +++ b/extralit-server/src/extralit_server/api/handlers/v1/chat.py @@ -0,0 +1,339 @@ +# Copyright 2024-present, Extralit Labs, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +""" +Chat endpoint using LiteLLM with GitHub Copilot and RAG support. +""" + +import logging +from typing import Annotated, Any +from uuid import UUID + +import litellm +from fastapi import APIRouter, Depends, HTTPException +from pydantic import BaseModel, Field +from sqlalchemy.ext.asyncio import AsyncSession +from starlette.responses import StreamingResponse + +from extralit_server.contexts import datasets as dataset_ctx +from extralit_server.database import get_async_db +from extralit_server.models import Dataset, User, VectorSettings +from extralit_server.search_engine import SearchEngine, get_search_engine +from extralit_server.security import auth +from extralit_server.utils.auth_helpers import GitHubDeviceFlowAuth +from extralit_server.utils.litellm_context import LiteLLMContext + +_LOGGER = logging.getLogger(__name__) + +router = APIRouter(tags=["chat"]) + + +class ChatMessage(BaseModel): + """A single chat message.""" + + role: str = Field(..., description="Role of the message sender (user, assistant, system)") + content: str = Field(..., description="Content of the message") + + +class ChatRequest(BaseModel): + """Request model for chat endpoint.""" + + model: str = Field(default="copilot", description="Model to use for chat (e.g., 'copilot')") + messages: list[ChatMessage] = Field(..., description="List of chat messages") + stream: bool = Field(default=True, description="Whether to stream the response") + dataset_id: UUID | None = Field(default=None, description="Optional dataset ID for RAG retrieval") + top_k: int = Field(default=5, ge=1, le=20, description="Number of documents to retrieve for RAG") + + +# VS Code headers to mimic for GitHub Copilot compatibility +COPILOT_HEADERS = { + "Editor-Version": "vscode/1.96.2", + "Editor-Plugin-Version": "copilot/1.256.0", + "User-Agent": "GithubCopilot/1.256.0", + "Copilot-Integration-Id": "vscode-chat", +} + + +def resolve_model_string(model: str) -> str: + """ + Resolve user-friendly model names to LiteLLM model strings. + + Args: + model: User-provided model name (e.g., "copilot", "gpt-4") + + Returns: + LiteLLM-compatible model string + """ + + model_mapping = { + "copilot": "gpt-4o", # Updated to gpt-4o which is supported + "github-copilot": "gpt-4o", + } + + # If it's not in the map, use it as is, but strip github/ if present + # to avoid duplication when we pass the provider explicitly + resolved = model_mapping.get(model.lower(), model) + return resolved.replace("github/", "") + + +async def retrieve_context( + db: AsyncSession, + search_engine: SearchEngine, + dataset_id: UUID, + query_text: str, + github_token: str, + top_k: int = 5, +) -> str | None: + """ + Retrieve relevant context from a dataset using RAG. + + Args: + db: Database session + search_engine: Search engine instance + dataset_id: ID of the dataset to search + query_text: User's query text + github_token: GitHub token for embedding API + top_k: Number of results to retrieve + + Returns: + Formatted context string or None if retrieval fails + """ + try: + # Fetch the dataset + dataset = await Dataset.get_by(db, id=dataset_id) + if not dataset: + _LOGGER.warning(f"Dataset {dataset_id} not found") + return None + + # Get vector settings for this dataset (use first available or "default") + vector_settings = await VectorSettings.get_by(db, dataset_id=dataset.id) + if not vector_settings: + _LOGGER.warning(f"No vector settings found for dataset {dataset_id}") + return None + + _LOGGER.info(f"Generating embedding for query: {query_text[:50]}...") + + # Inject token directly — no os.environ mutation (async-safe) + embedding_response = await litellm.aembedding( + model="text-embedding-3-small", + input=query_text, + custom_llm_provider="github", + api_key=github_token, + ) + query_embedding = embedding_response["data"][0]["embedding"] + + _LOGGER.info(f"Generated embedding with {len(query_embedding)} dimensions") + + # Perform similarity search + search_results = await search_engine.similarity_search( + dataset=dataset, + vector_settings=vector_settings, + value=query_embedding, + max_results=top_k, + threshold=0.6, # Minimum similarity threshold + ) + + if not search_results.items: + _LOGGER.info("No relevant documents found") + return None + + _LOGGER.info(f"Found {len(search_results.items)} relevant documents") + + # Fetch the actual record data + record_ids = [item.record_id for item in search_results.items] + records = await dataset_ctx.get_records_by_ids( + db=db, + dataset_id=dataset.id, + records_ids=record_ids, + ) + + # Build context from retrieved records + context_chunks = [] + for record in records: + # Extract text from record fields + if record.fields: + for field_name, field_value in record.fields.items(): + if isinstance(field_value, str): + context_chunks.append(f"[{field_name}]: {field_value}") + elif isinstance(field_value, list): + # Handle chat fields (list of messages) + for msg in field_value: + if isinstance(msg, dict) and "content" in msg: + context_chunks.append(f"[{field_name}]: {msg['content']}") + + if not context_chunks: + _LOGGER.warning("No text content found in retrieved records") + return None + + context = "\n\n".join(context_chunks[: top_k * 3]) # Limit total context + _LOGGER.info(f"Built context with {len(context)} characters from {len(context_chunks)} chunks") + + return context + + except Exception as e: + _LOGGER.error(f"Error during RAG retrieval: {e}", exc_info=True) + return None + + +@router.post("/chat") +async def chat( + request: ChatRequest, + db: Annotated[AsyncSession, Depends(get_async_db)], + search_engine: Annotated[SearchEngine, Depends(get_search_engine)], + current_user: User = Depends(auth.get_current_user), +) -> StreamingResponse: + """ + Chat endpoint using LiteLLM with GitHub Copilot and optional RAG. + + This endpoint requires the user to be authenticated with both Extralit + and GitHub (via the /auth/github/login flow). + + If dataset_id is provided, the endpoint will perform RAG retrieval: + 1. Generate embedding for the user's query + 2. Search for relevant documents in the dataset + 3. Inject retrieved context into the system prompt + + Args: + request: Chat request with model, messages, and optional dataset_id + current_user: Authenticated Extralit user + db: Database session (injected for RAG) + search_engine: Search engine instance (injected for RAG) + + Returns: + StreamingResponse with chat completion + + Raises: + HTTPException: If user is not authenticated with GitHub + """ + # Check if user has GitHub token + github_auth = GitHubDeviceFlowAuth(username=current_user.username) + if not github_auth.is_authenticated(): + raise HTTPException( + status_code=401, + detail="Not authenticated with GitHub. Please call /auth/github/login first.", + ) + + # Load the token to set in environment + token_data = github_auth.load_token() + if not token_data or "access_token" not in token_data: + raise HTTPException( + status_code=401, + detail="Invalid GitHub token. Please re-authenticate.", + ) + + # Resolve model string + litellm_model = resolve_model_string(request.model) + + _LOGGER.info( + f"Chat request from {current_user.username} using model {litellm_model}" + + (f" with RAG (dataset_id={request.dataset_id})" if request.dataset_id else "") + ) + + # Convert messages to LiteLLM format + messages = [{"role": msg.role, "content": msg.content} for msg in request.messages] + + # RAG: Retrieve context if dataset_id is provided + context = None + if request.dataset_id: + # Extract user's last message as query + user_messages = [msg for msg in messages if msg["role"] == "user"] + if user_messages: + query_text = user_messages[-1]["content"] + context = await retrieve_context( + db=db, + search_engine=search_engine, + dataset_id=request.dataset_id, + query_text=query_text, + github_token=token_data["access_token"], + top_k=request.top_k, + ) + + # Inject context into messages if available + if context: + system_message = { + "role": "system", + "content": ( + "You are a helpful assistant. Use the following context from the knowledge base " + "to answer the user's question. If the context doesn't contain relevant information, " + "you can use your general knowledge but mention that the information isn't in the context.\n\n" + f"Context:\n{context}" + ), + } + # Insert system message at the beginning + messages = [system_message, *messages] + _LOGGER.info(f"Injected RAG context ({len(context)} chars) into conversation") + + async def stream_response(): + """Stream the chat completion response.""" + try: + # LiteLLMContext handles XDG_CONFIG_HOME isolation (not token injection) + with LiteLLMContext(username=current_user.username): + # Inject token explicitly — no os.environ mutation (async-safe) + response = await litellm.acompletion( + model=litellm_model, + messages=messages, + stream=request.stream, + extra_headers=COPILOT_HEADERS, + custom_llm_provider="github", + api_key=token_data["access_token"], + ) + + if request.stream: + # Stream the response chunks + async for chunk in response: + if chunk.choices and len(chunk.choices) > 0: + delta = chunk.choices[0].delta + if hasattr(delta, "content") and delta.content: + # Send as SSE format (Standard Extralit/ChatGPT format) + yield f"data: {delta.content}\n\n" + yield "data: [DONE]\n\n" + else: + # Non-streaming response + if response.choices and len(response.choices) > 0: + content = response.choices[0].message.content + yield f"data: {content}\n\n" + yield "data: [DONE]\n\n" + + except Exception as e: + _LOGGER.error(f"Error in chat completion for {current_user.username}: {e}") + # Ensure the error is returned in a format the frontend can handle + error_msg = str(e).replace('"', '\\"') + yield f'data: {{"error": "{error_msg}"}}\n\n' + + return StreamingResponse( + stream_response(), + media_type="text/event-stream", + ) + + +@router.get("/chat/models") +async def list_models(current_user: User = Depends(auth.get_current_user)) -> dict[str, Any]: + """ + List available chat models. + + Returns: + Dictionary with available models + """ + return { + "models": [ + { + "id": "copilot", + "name": "GitHub Copilot", + "description": "GitHub Copilot chat model with optional RAG support", + "requires_auth": True, + "supports_rag": True, + }, + ], + } diff --git a/extralit-server/src/extralit_server/api/handlers/v1/github_auth.py b/extralit-server/src/extralit_server/api/handlers/v1/github_auth.py new file mode 100644 index 000000000..ea0f1a066 --- /dev/null +++ b/extralit-server/src/extralit_server/api/handlers/v1/github_auth.py @@ -0,0 +1,181 @@ +# Copyright 2024-present, Extralit Labs, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +GitHub authentication endpoints for Copilot integration. +""" + +import logging + +from fastapi import APIRouter, Depends +from pydantic import BaseModel + +from extralit_server.models import User +from extralit_server.security import auth +from extralit_server.utils.auth_helpers import GitHubDeviceFlowAuth + +_LOGGER = logging.getLogger(__name__) + +router = APIRouter(tags=["auth"]) + + +class AuthStatusResponse(BaseModel): + """Response model for auth status check.""" + + authenticated: bool + username: str + + +class DeviceFlowResponse(BaseModel): + """Response model for device flow initiation.""" + + device_code: str # <--- ADDED THIS FIELD + user_code: str + verification_uri: str + expires_in: int + interval: int + + +@router.get("/auth/github/status") +async def get_auth_status(current_user: User = Depends(auth.get_current_user)) -> AuthStatusResponse: + """ + Check if the current user has authenticated with GitHub for Copilot access. + + Returns: + AuthStatusResponse with authentication status and username + """ + github_auth = GitHubDeviceFlowAuth(username=current_user.username) + is_authenticated = github_auth.is_authenticated() + + _LOGGER.info(f"Auth status check for {current_user.username}: {is_authenticated}") + + return AuthStatusResponse( + authenticated=is_authenticated, + username=current_user.username, + ) + + +@router.post("/auth/github/login") +async def initiate_github_login(current_user: User = Depends(auth.get_current_user)) -> DeviceFlowResponse: + """ + Initiate GitHub Device Flow authentication. + + This endpoint starts the OAuth Device Flow and returns the user code + and verification URI that the user should visit to authorize the application. + + Returns: + DeviceFlowResponse with device_code, user_code, verification_uri, expires_in, and interval + + Raises: + ValueError: If GitHub client ID is not configured + """ + github_auth = GitHubDeviceFlowAuth(username=current_user.username) + + try: + flow_data = await github_auth.initiate_flow() + _LOGGER.info(f"Initiated GitHub Device Flow for {current_user.username}") + + # Return device_code so the client can use it to poll for the token + return DeviceFlowResponse( + device_code=flow_data["device_code"], # <--- ADDED THIS ASSIGNMENT + user_code=flow_data["user_code"], + verification_uri=flow_data["verification_uri"], + expires_in=flow_data["expires_in"], + interval=flow_data["interval"], + ) + except ValueError as e: + _LOGGER.error(f"Failed to initiate GitHub Device Flow: {e}") + raise + + +class PollTokenRequest(BaseModel): + """Request model for polling token.""" + + device_code: str + + +class PollTokenResponse(BaseModel): + """Response model for polling token.""" + + status: str # "pending", "authorized", "error" + message: str | None = None + + +@router.post("/auth/github/poll") +async def poll_github_token( + request: PollTokenRequest, + current_user: User = Depends(auth.get_current_user), +) -> PollTokenResponse: + """ + Poll for GitHub access token after user authorization. + + This endpoint should be called by the client after the user has visited + the verification URI and entered their code. + + Args: + request: Contains the device_code from the login initiation + + Returns: + PollTokenResponse indicating status of authorization + + Raises: + ValueError: If authorization fails or expires + """ + github_auth = GitHubDeviceFlowAuth(username=current_user.username) + + try: + # Poll with a short timeout (single attempt) + token_data = await github_auth.poll_for_token( + device_code=request.device_code, + interval=5, + timeout=10, # Just one quick check + ) + + # Save the token + github_auth.save_token(token_data) + + _LOGGER.info(f"Successfully authorized and saved token for {current_user.username}") + + return PollTokenResponse( + status="authorized", + message="Successfully authenticated with GitHub", + ) + except TimeoutError: + # User hasn't authorized yet + return PollTokenResponse( + status="pending", + message="Authorization pending", + ) + except ValueError as e: + _LOGGER.error(f"Token polling error for {current_user.username}: {e}") + return PollTokenResponse( + status="error", + message=str(e), + ) + + +@router.delete("/auth/github/logout") +async def logout_github(current_user: User = Depends(auth.get_current_user)) -> dict[str, str]: + """ + Clear the stored GitHub token for the current user. + + Returns: + Success message + """ + github_auth = GitHubDeviceFlowAuth(username=current_user.username) + github_auth.clear_token() + + _LOGGER.info(f"Logged out GitHub for {current_user.username}") + + return {"message": "Successfully logged out from GitHub"} diff --git a/extralit-server/src/extralit_server/api/routes.py b/extralit-server/src/extralit_server/api/routes.py index 20ce8322f..b483da913 100644 --- a/extralit-server/src/extralit_server/api/routes.py +++ b/extralit-server/src/extralit_server/api/routes.py @@ -22,6 +22,9 @@ from extralit_server._version import __version__ as extralit_version from extralit_server.api.errors.v1.exception_handlers import add_exception_handlers as add_exception_handlers_v1 from extralit_server.api.handlers.v1 import authentication as authentication_v1 +from extralit_server.api.handlers.v1 import ( + chat as chat_v1, +) from extralit_server.api.handlers.v1 import ( datasets as datasets_v1, ) @@ -34,6 +37,9 @@ from extralit_server.api.handlers.v1 import ( files as files_v1, ) +from extralit_server.api.handlers.v1 import ( + github_auth as github_auth_v1, +) from extralit_server.api.handlers.v1 import ( imports as imports_v1, ) @@ -117,6 +123,8 @@ def create_api_v1(): files_v1.router, models_v1.router, imports_v1.router, + github_auth_v1.router, + chat_v1.router, ]: api_v1.include_router(router) diff --git a/extralit-server/src/extralit_server/utils/auth_helpers.py b/extralit-server/src/extralit_server/utils/auth_helpers.py new file mode 100644 index 000000000..f175ee0ec --- /dev/null +++ b/extralit-server/src/extralit_server/utils/auth_helpers.py @@ -0,0 +1,219 @@ +# Copyright 2024-present, Extralit Labs, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +GitHub Device Flow authentication utilities for GitHub Copilot integration. +""" + +import asyncio +import json +import logging +import time +from pathlib import Path +from typing import Any + +import httpx + +from extralit_server.settings import settings + +_LOGGER = logging.getLogger(__name__) + + +class GitHubDeviceFlowAuth: + """ + Helper class for GitHub Device Flow authentication. + + This implements the OAuth Device Flow for authenticating with GitHub + to obtain tokens for GitHub Copilot access. + + Uses the official VS Code OAuth app credentials to ensure compatibility + with GitHub Copilot. + """ + + # Official VS Code OAuth App Client ID (public, safe to hardcode) + # This is the ONLY client ID that GitHub Copilot accepts + VSCODE_CLIENT_ID = "01ab8ac9400c4e429b23" + + DEVICE_CODE_URL = "https://github.com/login/device/code" + ACCESS_TOKEN_URL = "https://github.com/login/oauth/access_token" + + # Scopes required for GitHub Copilot access + SCOPE = "read:user copilot" + + def __init__(self, username: str): + """ + Initialize the GitHub Device Flow helper. + + Args: + username: The Extralit username (used for token storage path) + """ + self.username = username + + def _get_config_dir(self) -> Path: + """Get the user-specific config directory for token storage.""" + config_path = Path(settings.home_path) / "data" / "users" / self.username / "config" + config_path.mkdir(parents=True, exist_ok=True) + return config_path + + def _get_token_path(self) -> Path: + """Get the full path to the token file.""" + return self._get_config_dir() / "github_token.json" + + async def initiate_flow(self) -> dict[str, Any]: + """ + Initiate the GitHub Device Flow. + + Returns: + dict containing: + - device_code: Code for polling + - user_code: Code for user to enter + - verification_uri: URL for user to visit + - expires_in: Seconds until codes expire + - interval: Recommended polling interval in seconds + + Raises: + httpx.HTTPError: If the request to GitHub fails + """ + async with httpx.AsyncClient() as client: + response = await client.post( + self.DEVICE_CODE_URL, + data={ + "client_id": self.VSCODE_CLIENT_ID, + "scope": self.SCOPE, + }, + headers={"Accept": "application/json"}, + ) + response.raise_for_status() + data = response.json() + + _LOGGER.info(f"Initiated GitHub Device Flow for user {self.username}") + return { + "device_code": data["device_code"], + "user_code": data["user_code"], + "verification_uri": data["verification_uri"], + "expires_in": data["expires_in"], + "interval": data["interval"], + } + + async def poll_for_token(self, device_code: str, interval: int = 5, timeout: int = 900) -> dict[str, str]: + """ + Poll GitHub for the access token after user authorization. + + Args: + device_code: The device code from initiate_flow() + interval: Seconds to wait between polling attempts + timeout: Maximum seconds to wait for authorization + + Returns: + dict containing: + - access_token: The GitHub access token + - token_type: Type of token (usually "bearer") + - scope: Granted scopes + + Raises: + TimeoutError: If user doesn't authorize within timeout + ValueError: If authorization is denied or expires + httpx.HTTPError: If the request to GitHub fails + """ + start_time = time.time() + async with httpx.AsyncClient() as client: + while True: + if time.time() - start_time > timeout: + raise TimeoutError("GitHub Device Flow timed out waiting for user authorization") + + response = await client.post( + self.ACCESS_TOKEN_URL, + data={ + "client_id": self.VSCODE_CLIENT_ID, + "device_code": device_code, + "grant_type": "urn:ietf:params:oauth:grant-type:device_code", + }, + headers={"Accept": "application/json"}, + ) + + data = response.json() + + if "access_token" in data: + _LOGGER.info(f"Successfully obtained GitHub token for user {self.username}") + return { + "access_token": data["access_token"], + "token_type": data.get("token_type", "bearer"), + "scope": data.get("scope", ""), + } + elif data.get("error") == "authorization_pending": + # User hasn't authorized yet, keep polling + await asyncio.sleep(interval) + elif data.get("error") == "slow_down": + # We're polling too fast, increase interval + interval += 5 + await asyncio.sleep(interval) + elif data.get("error") in ("expired_token", "access_denied"): + raise ValueError(f"GitHub authorization {data['error']}: {data.get('error_description', '')}") + else: + raise ValueError(f"Unexpected error from GitHub: {data}") + + def save_token(self, token_data: dict[str, str]) -> None: + """ + Save the GitHub token to disk. + + Args: + token_data: Token data containing access_token, token_type, scope + """ + token_path = self._get_token_path() + with open(token_path, "w") as f: + json.dump(token_data, f) + + # Set restrictive permissions (read/write for owner only) + token_path.chmod(0o600) + + _LOGGER.info(f"Saved GitHub token for user {self.username} to {token_path}") + + def load_token(self) -> dict[str, str] | None: + """ + Load the GitHub token from disk. + + Returns: + Token data dict if exists, None otherwise + """ + token_path = self._get_token_path() + if not token_path.exists(): + return None + + try: + with open(token_path) as f: + token_data = json.load(f) + _LOGGER.debug(f"Loaded GitHub token for user {self.username}") + return token_data + except (json.JSONDecodeError, OSError) as e: + _LOGGER.error(f"Failed to load token for user {self.username}: {e}") + return None + + def is_authenticated(self) -> bool: + """ + Check if a valid GitHub token exists for this user. + + Returns: + True if token file exists and is readable, False otherwise + """ + token_data = self.load_token() + return token_data is not None and "access_token" in token_data + + def clear_token(self) -> None: + """ + Remove the stored GitHub token. + """ + token_path = self._get_token_path() + if token_path.exists(): + token_path.unlink() + _LOGGER.info(f"Cleared GitHub token for user {self.username}") diff --git a/extralit-server/src/extralit_server/utils/litellm_context.py b/extralit-server/src/extralit_server/utils/litellm_context.py new file mode 100644 index 000000000..eadcc8991 --- /dev/null +++ b/extralit-server/src/extralit_server/utils/litellm_context.py @@ -0,0 +1,78 @@ +# Copyright 2024-present, Extralit Labs, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +Context manager for LiteLLM environment isolation. + +This ensures that each user's GitHub Copilot tokens are isolated +by temporarily setting XDG_CONFIG_HOME to user-specific directories. +""" + +import os +from pathlib import Path +from typing import Any + +from extralit_server.settings import settings + + +class LiteLLMContext: + """ + Context manager for isolating LiteLLM environment per user. + + This temporarily sets XDG_CONFIG_HOME to point to a user-specific + directory, ensuring that LiteLLM uses the correct GitHub token + for each user without leakage. + + Example: + with LiteLLMContext(username="alice"): + # LiteLLM will use alice's GitHub token + response = await litellm.acompletion(...) + """ + + def __init__(self, username: str): + """ + Initialize the context manager. + + Args: + username: The Extralit username for token isolation + """ + self.username = username + self.user_config_dir = str(Path(settings.home_path) / "data" / "users" / username / "config") + self.original_xdg_config_home: str | None = None + + def __enter__(self) -> "LiteLLMContext": + """ + Enter the context: set XDG_CONFIG_HOME to user-specific directory. + """ + # Save original value + self.original_xdg_config_home = os.environ.get("XDG_CONFIG_HOME") + + # Set to user-specific directory + os.environ["XDG_CONFIG_HOME"] = self.user_config_dir + + # Ensure directory exists + Path(self.user_config_dir).mkdir(parents=True, exist_ok=True) + + return self + + def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None: + """ + Exit the context: restore original XDG_CONFIG_HOME. + """ + # Restore original value + if self.original_xdg_config_home is not None: + os.environ["XDG_CONFIG_HOME"] = self.original_xdg_config_home + else: + # Remove if it wasn't set before + os.environ.pop("XDG_CONFIG_HOME", None)