curo1305
0d34867a69
- 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>
24 lines
890 B
Python
24 lines
890 B
Python
from app.services.ai.base import AIProvider
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def get_provider(ai_config: dict) -> AIProvider:
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"""
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Factory: return an AIProvider instance based on the 'provider' key in the AI config section.
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ai_config is the 'ai' section of doc_service_config.json, loaded fresh per processing job.
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"""
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provider_name = ai_config.get("provider", "anthropic")
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provider_cfg = ai_config.get(provider_name, {})
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match provider_name:
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case "anthropic":
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from app.services.ai.anthropic_provider import AnthropicProvider
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return AnthropicProvider(provider_cfg)
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case "ollama" | "lmstudio":
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from app.services.ai.openai_compat import OpenAICompatProvider
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return OpenAICompatProvider(provider_cfg)
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case _:
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raise ValueError(f"Unknown AI provider: {provider_name!r}")
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__all__ = ["AIProvider", "get_provider"]
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