Add PDF document service with AI extraction and per-app settings
- New `features/doc-service` FastAPI microservice: PDF upload, async text extraction (pdfplumber), AI classification via Anthropic/Ollama/ LM Studio, per-user categories, file download - Alembic migration isolated with `alembic_version_doc_service` table - Main backend: httpx proxy routers for /api/documents/* and /api/documents/categories/*, admin settings API at /api/settings/* - Runtime config in /config/doc_service_config.json (shared Docker volume); api_key masking on reads; atomic write with os.replace() - Frontend: DocumentsPage, DocumentAdminSettingsPage, updated AppsPage launcher hub, simplified Nav (removed Settings link), new routes - docker-compose: doc-service service, doc_data + app_config volumes, removed internal:true from backend-net for outbound AI API calls - Fix pre-commit hook: probe Docker socket path so git subprocess picks up Docker Desktop on macOS - Fix security_check.py: use sys.executable for bandit so venv python is used instead of system python Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -73,3 +73,113 @@ export const getProfile = () =>
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export const updateProfile = (data: ProfileUpdate) =>
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api.put<ProfileData>("/profile/me", data).then((r) => r.data);
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// --- Documents ---
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export type DocumentStatus = "pending" | "processing" | "done" | "failed";
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export interface CategoryOut {
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id: string;
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name: string;
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}
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export interface DocumentOut {
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id: string;
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user_id: string;
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filename: string;
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file_size: number;
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status: DocumentStatus;
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document_type: string | null;
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extracted_data: string | null;
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tags: string | null;
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error_message: string | null;
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created_at: string;
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processed_at: string | null;
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categories: CategoryOut[];
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}
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export interface DocumentStatusOut {
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id: string;
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status: DocumentStatus;
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document_type: string | null;
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error_message: string | null;
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processed_at: string | null;
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}
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export const listDocuments = () =>
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api.get<DocumentOut[]>("/documents").then((r) => r.data);
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export const getDocument = (id: string) =>
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api.get<DocumentOut>(`/documents/${id}`).then((r) => r.data);
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export const getDocumentStatus = (id: string) =>
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api.get<DocumentStatusOut>(`/documents/${id}/status`).then((r) => r.data);
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export const uploadDocument = (file: File) => {
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const form = new FormData();
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form.append("file", file);
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return api.post<DocumentOut>("/documents/upload", form).then((r) => r.data);
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};
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export const updateDocumentType = (id: string, document_type: string) =>
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api.patch<DocumentOut>(`/documents/${id}/type`, { document_type }).then((r) => r.data);
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export const deleteDocument = (id: string) =>
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api.delete(`/documents/${id}`);
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export const downloadDocument = async (id: string, filename: string) => {
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const response = await api.get(`/documents/${id}/file`, { responseType: "blob" });
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const url = URL.createObjectURL(response.data);
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const a = document.createElement("a");
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a.href = url;
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a.download = filename;
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a.click();
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URL.revokeObjectURL(url);
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};
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export const assignCategory = (docId: string, catId: string) =>
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api.post(`/documents/${docId}/categories/${catId}`);
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export const removeCategory = (docId: string, catId: string) =>
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api.delete(`/documents/${docId}/categories/${catId}`);
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// --- Categories ---
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export const listCategories = () =>
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api.get<CategoryOut[]>("/documents/categories").then((r) => r.data);
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export const createCategory = (name: string) =>
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api.post<CategoryOut>("/documents/categories", { name }).then((r) => r.data);
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export const renameCategory = (id: string, name: string) =>
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api.patch<CategoryOut>(`/documents/categories/${id}`, { name }).then((r) => r.data);
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export const deleteCategory = (id: string) =>
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api.delete(`/documents/categories/${id}`);
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// --- Settings (admin only) ---
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export interface AIProviderUpdate {
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provider: string;
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anthropic_api_key?: string;
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anthropic_model?: string;
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ollama_base_url?: string;
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ollama_model?: string;
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ollama_api_key?: string;
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lmstudio_base_url?: string;
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lmstudio_model?: string;
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lmstudio_api_key?: string;
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}
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export const getDocumentSettings = () =>
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api.get<Record<string, unknown>>("/settings/documents").then((r) => r.data);
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export const updateDocumentAISettings = (data: AIProviderUpdate) =>
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api.patch<Record<string, unknown>>("/settings/documents/ai", data).then((r) => r.data);
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export const testDocumentAIConnection = () =>
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api.post<{ ok: boolean; provider: string; response?: string; error?: string }>(
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"/settings/documents/ai/test"
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).then((r) => r.data);
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export const updateDocumentLimits = (max_pdf_mb: number) =>
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api.patch<Record<string, unknown>>("/settings/documents/limits", { max_pdf_mb }).then(
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(r) => r.data
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);
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