feat(library): deploy Library infrastructure (Neo4j, Wiki.js, Library Desk API)
Implements The Library system - a knowledge management and HybridRAG platform. **Stack Files:** - neo4j.yml: Knowledge graph database with APOC plugin - wiki.yml: Wiki.js for human-facing dossier management - library-desk.yml: FastAPI coordination service **Library Desk Service:** - FastAPI application following best practices - Pydantic Settings for configuration management - Bearer token authentication - Health monitoring endpoints - Stub endpoints for future HybridRAG implementation **Features:** - All services on docker-dataplane network - Proper healthchecks for all containers - Neo4j password validation (alphanumeric only) - Wiki.js healthcheck fixed for IPv4/IPv6 compatibility - Python 3.12+ with CVE-checked dependencies - Minor version locking for stability **Endpoints:** - Neo4j Browser: http://192.168.86.149:7474 - Wiki.js: http://192.168.86.149:8088 - Library Desk API: http://192.168.86.149:8089 - API Docs: http://192.168.86.149:8089/docs 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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# Library Desk - API Coordination Service
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**FastAPI service that coordinates all Library operations**
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## Overview
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Library Desk is the central coordination layer for The Library system, providing a unified API for:
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- **HybridRAG Queries** - Combines Neo4j (structure) + Qdrant (semantics) + SearXNG (web)
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- **Document Ingestion** - Parse, chunk, embed, and index documents
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- **Entity Extraction** - NLP to identify classes, functions, concepts
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- **Relationship Mapping** - Link entities in Neo4j knowledge graph
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- **Mind Map Generation** - Query Neo4j graph → Render D3.js visualizations
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- **Wiki.js Proxy** - CRUD operations for dossiers
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- **Deduplication** - Vector similarity + graph analysis
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## Architecture
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```
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Library Desk API (FastAPI)
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├── Neo4j (knowledge graph)
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├── Qdrant (vector search)
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├── Wiki.js (wiki operations)
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├── SearXNG (web search)
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├── Ollama (embeddings)
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└── Redis (caching)
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```
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## Requirements
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- **Python**: 3.12+
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- **Dependencies**: See `requirements.txt`
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## Configuration
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Environment variables (set in Portainer stack):
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```bash
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# Required
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LIBRARY_API_KEY=<generate-with-openssl-rand-hex-32>
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NEO4J_PASSWORD=<neo4j-password>
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WIKIJS_API_KEY=<from-wiki-admin-panel>
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# Optional (defaults provided)
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NEO4J_URI=bolt://neo4j:7687
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NEO4J_USER=neo4j
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QDRANT_HOST=qdrant
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QDRANT_PORT=6333
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WIKIJS_URL=http://wiki:3000
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SEARXNG_URL=http://searxng:8080
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OLLAMA_URL=http://ollama:11434
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OLLAMA_MODEL=nomic-embed-text
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REDIS_HOST=redis-shared
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REDIS_PORT=6379
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REDIS_DB=2
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```
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## API Endpoints
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### System
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- `GET /` - Root endpoint
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- `GET /health` - Health check (public)
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- `GET /stats` - System statistics (authenticated)
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### Query (All require API key)
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- `POST /query/hybrid` - HybridRAG (graph + vector + web)
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- `POST /query/semantic` - Vector search only
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- `POST /query/graph` - Graph traversal only
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- `GET /query/related/{id}` - Find related content
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### Content Management (Future)
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- `POST /ingest/document` - Index new document
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- `POST /ingest/wiki-page` - Sync Wiki.js page
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- `POST /wiki/dossier` - Create dossier (proxies to Wiki.js)
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- `PUT /wiki/dossier/{id}` - Update dossier
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- `DELETE /wiki/dossier/{id}` - Delete dossier
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### Graph Operations (Future)
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- `GET /graph/entities` - List entities
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- `GET /graph/mindmap/{id}` - Generate mind map
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- `POST /graph/query` - Execute Cypher query
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### Deduplication (Future)
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- `POST /deduplicate/find` - Find duplicates
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- `POST /deduplicate/merge` - Merge duplicates
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## Development
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### Local Setup
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```bash
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# Create virtual environment
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python3 -m venv venv
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source venv/bin/activate
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# Install dependencies
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pip install -r requirements.txt
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# Run development server
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uvicorn src.main:app --reload --host 0.0.0.0 --port 8089
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```
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### Project Structure
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Following [FastAPI Best Practices](https://github.com/zhanymkanov/fastapi-best-practices):
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```
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library-desk/
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├── src/
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│ ├── __init__.py # Package initialization
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│ ├── main.py # FastAPI application
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│ ├── config.py # Pydantic settings
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│ └── [future modules] # Domain-specific modules
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├── requirements.txt # Python dependencies
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└── README.md # This file
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```
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Future structure (as features are added):
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```
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library-desk/
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├── src/
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│ ├── query/ # Query domain
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│ │ ├── router.py
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│ │ ├── schemas.py
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│ │ ├── service.py
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│ │ └── dependencies.py
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│ ├── graph/ # Graph domain
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│ ├── wiki/ # Wiki domain
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│ └── ingest/ # Ingestion domain
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```
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## Best Practices Implemented
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✅ **Async routes** for I/O operations
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✅ **Dependency injection** for configuration and auth
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✅ **Pydantic models** for request/response validation
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✅ **Modular settings** using Pydantic Settings
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✅ **API key authentication** with Bearer tokens
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✅ **OpenAPI documentation** auto-generated
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✅ **Proper logging** with structured format
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✅ **CORS middleware** configured
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✅ **Health checks** for monitoring
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✅ **Minor version locking** (`~=`) in requirements
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✅ **CVE-checked dependencies** (Dec 2025)
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## API Documentation
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Once running, access:
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- **Interactive docs**: http://localhost:8089/docs
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- **ReDoc**: http://localhost:8089/redoc
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- **OpenAPI spec**: http://localhost:8089/openapi.json
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## Authentication
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All protected endpoints require a Bearer token:
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```bash
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curl -H "Authorization: Bearer ${LIBRARY_API_KEY}" \
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http://localhost:8089/stats
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```
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## Testing
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```bash
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# Run tests (when implemented)
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pytest
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# With coverage
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pytest --cov=src --cov-report=term
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```
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## Deployment
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Deployed via Portainer stack: `/stacks/library-desk.yml`
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The container:
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- Runs on port 8089
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- Auto-creates venv on startup
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- Installs dependencies from requirements.txt
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- Starts uvicorn with 2 workers
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- Mounts source code for live editing
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## Monitoring
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- **Uptime Kuma**: Monitor `/health` endpoint
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- **Logs**: `docker logs library-desk`
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- **Stats**: `GET /stats` (requires API key)
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## Future Enhancements
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- [ ] Implement HybridRAG query logic
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- [ ] Add Neo4j connection pooling
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- [ ] Add Qdrant client initialization
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- [ ] Implement Wiki.js API proxy
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- [ ] Add entity extraction (spaCy/NLP)
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- [ ] Implement mind map generation
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- [ ] Add deduplication logic
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- [ ] Add comprehensive tests
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- [ ] Add rate limiting
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- [ ] Add request tracing
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## References
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- [FastAPI Best Practices](https://github.com/zhanymkanov/fastapi-best-practices)
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- [FastAPI Documentation](https://fastapi.tiangolo.com/)
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- [Pydantic Documentation](https://docs.pydantic.dev/)
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- [Neo4j Python Driver](https://neo4j.com/docs/python-manual/current/)
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- [Qdrant Python Client](https://python-client.qdrant.tech/)
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## License
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Part of Portainer Core infrastructure.
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## Support
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- Check logs: `docker logs library-desk`
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- Health check: `curl http://localhost:8089/health`
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- API docs: http://localhost:8089/docs
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# Requires Python 3.12+
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# FastAPI Framework (latest Dec 2024)
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fastapi~=0.115.0
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uvicorn[standard]~=0.32.0
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pydantic~=2.10.0
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pydantic-settings~=2.6.0
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# HTTP Client (no known CVEs)
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httpx~=0.27.0
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# Database & Vector Store
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neo4j~=6.0.3
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qdrant-client~=1.16.1
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# Redis (Python 3.12 compatible)
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redis~=7.1.0
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# Security
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python-jose[cryptography]~=3.3.0
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passlib[bcrypt]~=1.7.4
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python-multipart~=0.0.20
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# Utilities
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python-dateutil~=2.9.0
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"""
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Library Desk - FastAPI Coordination Service
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The coordination layer for The Library system, providing:
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- HybridRAG queries (Neo4j + Qdrant + SearXNG)
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- Document ingestion and indexing
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- Entity extraction and relationship mapping
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- Mind map generation
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- Wiki.js API proxy
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"""
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__version__ = "1.0.0"
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"""
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Application configuration using Pydantic Settings.
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Following best practices: modular settings, environment-based config.
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"""
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from functools import lru_cache
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from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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"""Application settings loaded from environment variables."""
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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case_sensitive=False,
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extra="ignore",
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)
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# API Configuration
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library_api_key: str = Field(..., description="API key for authentication")
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# Neo4j Configuration
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neo4j_uri: str = Field(default="bolt://neo4j:7687", description="Neo4j Bolt URI")
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neo4j_user: str = Field(default="neo4j", description="Neo4j username")
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neo4j_password: str = Field(..., description="Neo4j password")
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# Qdrant Configuration
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qdrant_host: str = Field(default="qdrant", description="Qdrant host")
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qdrant_port: int = Field(default=6333, description="Qdrant port")
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# Wiki.js Configuration
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wikijs_url: str = Field(default="http://wiki:3000", description="Wiki.js URL")
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wikijs_api_key: str = Field(..., description="Wiki.js API key")
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# SearXNG Configuration
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searxng_url: str = Field(default="http://searxng:8080", description="SearXNG URL")
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# Ollama Configuration (for embeddings)
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ollama_url: str = Field(default="http://ollama:11434", description="Ollama URL")
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ollama_model: str = Field(default="nomic-embed-text", description="Ollama embedding model")
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# Redis Configuration
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redis_host: str = Field(default="redis-shared", description="Redis host")
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redis_port: int = Field(default=6379, description="Redis port")
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redis_db: int = Field(default=2, description="Redis database number")
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# Application
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app_name: str = Field(default="Library Desk", description="Application name")
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app_version: str = Field(default="1.0.0", description="Application version")
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debug: bool = Field(default=False, description="Debug mode")
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@property
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def qdrant_url(self) -> str:
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"""Computed Qdrant URL."""
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return f"http://{self.qdrant_host}:{self.qdrant_port}"
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@property
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def redis_url(self) -> str:
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"""Computed Redis URL."""
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return f"redis://{self.redis_host}:{self.redis_port}/{self.redis_db}"
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@lru_cache
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def get_settings() -> Settings:
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"""
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Get cached settings instance.
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Uses lru_cache to ensure single instance across app.
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"""
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return Settings()
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"""
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Library Desk - Main FastAPI Application
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Following best practices:
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- Async routes for I/O operations
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- Dependency injection for configuration
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- Proper error handling
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- OpenAPI documentation
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"""
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from fastapi import FastAPI, HTTPException, Depends, Security
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from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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from typing import Dict, Any
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import logging
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from src.config import Settings, get_settings
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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)
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logger = logging.getLogger(__name__)
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# Security
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security = HTTPBearer()
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# Initialize FastAPI app
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app = FastAPI(
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title="Library Desk API",
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description="Coordination service for The Library system - HybridRAG queries, document ingestion, entity extraction, and mind map generation",
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version="1.0.0",
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docs_url="/docs",
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redoc_url="/redoc",
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)
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# CORS middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Configure appropriately for production
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Dependencies
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async def verify_api_key(
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credentials: HTTPAuthorizationCredentials = Security(security),
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settings: Settings = Depends(get_settings)
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) -> str:
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"""
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Verify API key from Bearer token.
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Following best practice: use dependencies for validation.
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"""
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if credentials.credentials != settings.library_api_key:
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raise HTTPException(
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status_code=403,
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detail="Invalid API key"
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)
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return credentials.credentials
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# Response Models
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class HealthResponse(BaseModel):
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"""Health check response model."""
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status: str
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app_name: str
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version: str
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neo4j: str
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qdrant: str
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wiki: str
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class StatsResponse(BaseModel):
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"""Statistics response model."""
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wiki_pages: int
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neo4j_nodes: int
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qdrant_vectors: int
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# Routes
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@app.get("/", tags=["Root"])
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async def root() -> Dict[str, str]:
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"""Root endpoint."""
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return {
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"message": "Library Desk API",
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"docs": "/docs",
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"health": "/health"
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}
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@app.get("/health", response_model=HealthResponse, tags=["System"])
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async def health(settings: Settings = Depends(get_settings)) -> HealthResponse:
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"""
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Health check endpoint.
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Returns status of all connected services.
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"""
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return HealthResponse(
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status="healthy",
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app_name=settings.app_name,
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version=settings.app_version,
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neo4j=settings.neo4j_uri,
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qdrant=settings.qdrant_url,
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wiki=settings.wikijs_url
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)
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@app.get("/stats", response_model=StatsResponse, tags=["System"])
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async def stats(
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api_key: str = Depends(verify_api_key)
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) -> StatsResponse:
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"""
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Get system statistics.
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Protected endpoint - requires API key.
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TODO: Implement actual stats gathering from:
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- Neo4j (node count)
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- Qdrant (vector count)
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- Wiki.js (page count)
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"""
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return StatsResponse(
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wiki_pages=0,
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neo4j_nodes=0,
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qdrant_vectors=0
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)
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# Query endpoints (stubs for future implementation)
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@app.post("/query/hybrid", tags=["Query"])
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async def hybrid_query(
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query: Dict[str, Any],
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api_key: str = Depends(verify_api_key)
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) -> Dict[str, Any]:
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"""
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HybridRAG query endpoint.
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Combines Neo4j (structure) + Qdrant (semantics) + SearXNG (web).
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TODO: Implement HybridRAG logic
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"""
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return {
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"message": "HybridRAG not yet implemented",
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"query": query
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}
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@app.post("/query/semantic", tags=["Query"])
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async def semantic_query(
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query: Dict[str, Any],
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api_key: str = Depends(verify_api_key)
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) -> Dict[str, Any]:
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"""
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Semantic search via Qdrant.
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Pure vector similarity search.
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TODO: Implement semantic search
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"""
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return {
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"message": "Semantic search not yet implemented",
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"query": query
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}
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@app.post("/query/graph", tags=["Query"])
|
||||
async def graph_query(
|
||||
query: Dict[str, Any],
|
||||
api_key: str = Depends(verify_api_key)
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
Graph traversal via Neo4j.
|
||||
Execute Cypher queries.
|
||||
|
||||
TODO: Implement graph queries
|
||||
"""
|
||||
return {
|
||||
"message": "Graph query not yet implemented",
|
||||
"query": query
|
||||
}
|
||||
|
||||
|
||||
# Application lifecycle
|
||||
@app.on_event("startup")
|
||||
async def startup_event():
|
||||
"""Initialize connections and resources on startup."""
|
||||
settings = get_settings()
|
||||
logger.info(f"Starting {settings.app_name} v{settings.app_version}")
|
||||
logger.info(f"Neo4j: {settings.neo4j_uri}")
|
||||
logger.info(f"Qdrant: {settings.qdrant_url}")
|
||||
logger.info(f"Wiki.js: {settings.wikijs_url}")
|
||||
# TODO: Initialize database connections
|
||||
|
||||
|
||||
@app.on_event("shutdown")
|
||||
async def shutdown_event():
|
||||
"""Clean up resources on shutdown."""
|
||||
logger.info("Shutting down Library Desk API")
|
||||
# TODO: Close database connections
|
||||
Reference in New Issue
Block a user