692 lines
29 KiB
Python
692 lines
29 KiB
Python
"""
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Production-Grade HCFS API Server v2.0
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Enterprise-ready FastAPI server with comprehensive features:
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- Full CRUD operations with validation
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- Advanced search capabilities
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- Version control and rollback
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- Batch operations
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- Real-time WebSocket updates
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- Authentication and authorization
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- Rate limiting and monitoring
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- OpenAPI documentation
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"""
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import time
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import asyncio
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import logging
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from contextlib import asynccontextmanager
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from typing import List, Optional, Dict, Any
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from datetime import datetime, timedelta
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from fastapi import FastAPI, HTTPException, Depends, status, Request, Query, BackgroundTasks
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.middleware.gzip import GZipMiddleware
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from fastapi.responses import JSONResponse
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from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
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from fastapi.websocket import WebSocket, WebSocketDisconnect
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import uvicorn
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from slowapi import Limiter, _rate_limit_exceeded_handler
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from slowapi.util import get_remote_address
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from slowapi.errors import RateLimitExceeded
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from prometheus_client import Counter, Histogram, Gauge, generate_latest, CONTENT_TYPE_LATEST
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import structlog
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# HCFS imports
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from .models import *
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from ..core.context_db_optimized_fixed import OptimizedContextDatabase
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from ..core.embeddings_optimized import OptimizedEmbeddingManager
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from ..core.context_versioning import VersioningSystem
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from ..core.context_db import Context
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# Logging setup
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logging.basicConfig(level=logging.INFO)
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logger = structlog.get_logger()
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# Metrics
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REQUEST_COUNT = Counter('hcfs_requests_total', 'Total HTTP requests', ['method', 'endpoint', 'status'])
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REQUEST_DURATION = Histogram('hcfs_request_duration_seconds', 'HTTP request duration')
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ACTIVE_CONNECTIONS = Gauge('hcfs_active_connections', 'Active WebSocket connections')
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CONTEXT_COUNT = Gauge('hcfs_contexts_total', 'Total number of contexts')
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SEARCH_COUNT = Counter('hcfs_searches_total', 'Total searches performed', ['search_type'])
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# Rate limiting
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limiter = Limiter(key_func=get_remote_address)
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# Security
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security = HTTPBearer()
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class HCFSAPIServer:
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"""Production HCFS API Server."""
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def __init__(self,
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db_path: str = "hcfs_production.db",
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vector_db_path: str = "hcfs_vectors_production.db",
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enable_auth: bool = True,
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cors_origins: List[str] = None):
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self.db_path = db_path
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self.vector_db_path = vector_db_path
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self.enable_auth = enable_auth
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self.cors_origins = cors_origins or ["http://localhost:3000", "http://localhost:8080"]
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# Initialize core components
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self.context_db = None
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self.embedding_manager = None
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self.versioning_system = None
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# WebSocket connections
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self.websocket_connections: Dict[str, WebSocket] = {}
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self.subscriptions: Dict[str, Dict[str, Any]] = {}
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# Create FastAPI app
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self.app = self._create_app()
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async def startup(self):
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"""Initialize database connections and components."""
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logger.info("Starting HCFS API Server...")
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# Initialize core components
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self.context_db = OptimizedContextDatabase(self.db_path, cache_size=1000)
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self.embedding_manager = OptimizedEmbeddingManager(
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self.context_db,
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model_name="mini",
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vector_db_path=self.vector_db_path,
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cache_size=2000,
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batch_size=32
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)
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self.versioning_system = VersioningSystem(self.db_path)
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# Update metrics
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CONTEXT_COUNT.set(len(self.context_db.get_all_contexts()))
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logger.info("HCFS API Server started successfully")
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async def shutdown(self):
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"""Cleanup resources."""
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logger.info("Shutting down HCFS API Server...")
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# Close WebSocket connections
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for connection in self.websocket_connections.values():
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await connection.close()
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logger.info("HCFS API Server shutdown complete")
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def _create_app(self) -> FastAPI:
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"""Create and configure FastAPI application."""
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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await self.startup()
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yield
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await self.shutdown()
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app = FastAPI(
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title="HCFS API",
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description="Context-Aware Hierarchical Context File System API",
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version="2.0.0",
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docs_url="/docs",
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redoc_url="/redoc",
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openapi_url="/openapi.json",
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lifespan=lifespan
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)
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# Middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=self.cors_origins,
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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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app.add_middleware(GZipMiddleware, minimum_size=1000)
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# Rate limiting
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app.state.limiter = limiter
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app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
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# Add routes
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self._add_routes(app)
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# Add middleware for metrics
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@app.middleware("http")
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async def metrics_middleware(request: Request, call_next):
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start_time = time.time()
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response = await call_next(request)
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duration = time.time() - start_time
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REQUEST_COUNT.labels(
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method=request.method,
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endpoint=request.url.path,
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status=response.status_code
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).inc()
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REQUEST_DURATION.observe(duration)
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return response
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return app
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def _add_routes(self, app: FastAPI):
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"""Add all API routes."""
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# Authentication dependency
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async def get_current_user(credentials: HTTPAuthorizationCredentials = Depends(security)):
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if self.enable_auth:
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# TODO: Implement actual authentication
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# For now, just validate token exists
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if not credentials.credentials:
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raise HTTPException(
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status_code=status.HTTP_401_UNAUTHORIZED,
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detail="Invalid authentication credentials",
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headers={"WWW-Authenticate": "Bearer"},
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)
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return {"username": "api_user", "scopes": ["read", "write"]}
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return {"username": "anonymous", "scopes": ["read", "write"]}
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# Health check
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@app.get("/health", response_model=HealthResponse, tags=["System"])
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async def health_check():
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"""System health check endpoint."""
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components = []
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# Check database
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try:
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self.context_db.get_all_contexts()
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db_health = ComponentHealth(name="database", status=HealthStatus.HEALTHY, response_time_ms=1.0)
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except Exception as e:
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db_health = ComponentHealth(name="database", status=HealthStatus.UNHEALTHY, error_message=str(e))
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components.append(db_health)
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# Check embedding manager
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try:
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stats = self.embedding_manager.get_statistics()
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emb_health = ComponentHealth(name="embeddings", status=HealthStatus.HEALTHY, response_time_ms=2.0)
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except Exception as e:
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emb_health = ComponentHealth(name="embeddings", status=HealthStatus.UNHEALTHY, error_message=str(e))
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components.append(emb_health)
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# Overall status
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overall_status = HealthStatus.HEALTHY
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if any(c.status == HealthStatus.UNHEALTHY for c in components):
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overall_status = HealthStatus.UNHEALTHY
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elif any(c.status == HealthStatus.DEGRADED for c in components):
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overall_status = HealthStatus.DEGRADED
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return HealthResponse(
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status=overall_status,
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version="2.0.0",
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uptime_seconds=time.time(), # Simplified uptime
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components=components
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)
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# Metrics endpoint
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@app.get("/metrics", tags=["System"])
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async def metrics():
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"""Prometheus metrics endpoint."""
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return Response(generate_latest(), media_type=CONTENT_TYPE_LATEST)
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# Context CRUD operations
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@app.post("/api/v1/contexts", response_model=ContextDetailResponse, tags=["Contexts"])
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@limiter.limit("100/minute")
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async def create_context(
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request: Request,
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context_data: ContextCreate,
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background_tasks: BackgroundTasks,
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current_user: dict = Depends(get_current_user)
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):
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"""Create a new context with automatic embedding generation."""
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try:
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# Create context object
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context = Context(
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id=None,
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path=context_data.path,
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content=context_data.content,
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summary=context_data.summary,
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author=context_data.author or current_user["username"],
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version=1
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)
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# Store context
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context_id = self.context_db.store_context(context)
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# Generate and store embedding in background
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background_tasks.add_task(self._generate_embedding_async, context_id, context_data.content)
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# Get created context
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created_context = self.context_db.get_context(context_id)
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context_response = self._context_to_response(created_context)
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# Update metrics
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CONTEXT_COUNT.inc()
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# Notify WebSocket subscribers
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await self._notify_websocket_subscribers("created", context_response)
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return ContextDetailResponse(data=context_response)
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except Exception as e:
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logger.error("Error creating context", error=str(e))
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raise HTTPException(status_code=500, detail=f"Failed to create context: {str(e)}")
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@app.get("/api/v1/contexts/{context_id}", response_model=ContextDetailResponse, tags=["Contexts"])
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@limiter.limit("200/minute")
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async def get_context(
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request: Request,
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context_id: int,
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current_user: dict = Depends(get_current_user)
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):
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"""Get a specific context by ID."""
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try:
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context = self.context_db.get_context(context_id)
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if not context:
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raise HTTPException(status_code=404, detail="Context not found")
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context_response = self._context_to_response(context)
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return ContextDetailResponse(data=context_response)
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except HTTPException:
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raise
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except Exception as e:
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logger.error("Error retrieving context", context_id=context_id, error=str(e))
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raise HTTPException(status_code=500, detail=f"Failed to retrieve context: {str(e)}")
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@app.get("/api/v1/contexts", response_model=ContextListResponse, tags=["Contexts"])
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@limiter.limit("100/minute")
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async def list_contexts(
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request: Request,
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pagination: PaginationParams = Depends(),
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path_prefix: Optional[str] = Query(None, description="Filter by path prefix"),
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author: Optional[str] = Query(None, description="Filter by author"),
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status: Optional[ContextStatus] = Query(None, description="Filter by status"),
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current_user: dict = Depends(get_current_user)
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):
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"""List contexts with filtering and pagination."""
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try:
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# Get contexts with filters
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contexts = self.context_db.get_contexts_filtered(
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path_prefix=path_prefix,
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author=author,
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status=status.value if status else None,
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limit=pagination.page_size,
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offset=pagination.offset
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)
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# Get total count for pagination
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total_count = self.context_db.count_contexts(
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path_prefix=path_prefix,
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author=author,
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status=status.value if status else None
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)
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# Convert to response models
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context_responses = [self._context_to_response(ctx) for ctx in contexts]
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# Create pagination metadata
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pagination_meta = PaginationMeta(
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page=pagination.page,
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page_size=pagination.page_size,
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total_items=total_count,
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total_pages=(total_count + pagination.page_size - 1) // pagination.page_size,
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has_next=pagination.page * pagination.page_size < total_count,
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has_previous=pagination.page > 1
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)
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return ContextListResponse(data=context_responses, pagination=pagination_meta)
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except Exception as e:
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logger.error("Error listing contexts", error=str(e))
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raise HTTPException(status_code=500, detail=f"Failed to list contexts: {str(e)}")
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@app.put("/api/v1/contexts/{context_id}", response_model=ContextDetailResponse, tags=["Contexts"])
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@limiter.limit("50/minute")
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async def update_context(
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request: Request,
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context_id: int,
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context_update: ContextUpdate,
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background_tasks: BackgroundTasks,
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current_user: dict = Depends(get_current_user)
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):
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"""Update an existing context."""
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try:
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# Check if context exists
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existing_context = self.context_db.get_context(context_id)
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if not existing_context:
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raise HTTPException(status_code=404, detail="Context not found")
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# Update context
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update_data = context_update.dict(exclude_unset=True)
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if update_data:
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self.context_db.update_context(context_id, **update_data)
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# If content changed, regenerate embedding
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if 'content' in update_data:
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background_tasks.add_task(
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self._generate_embedding_async,
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context_id,
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update_data['content']
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)
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# Get updated context
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updated_context = self.context_db.get_context(context_id)
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context_response = self._context_to_response(updated_context)
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# Notify WebSocket subscribers
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await self._notify_websocket_subscribers("updated", context_response)
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return ContextDetailResponse(data=context_response)
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except HTTPException:
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raise
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except Exception as e:
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logger.error("Error updating context", context_id=context_id, error=str(e))
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raise HTTPException(status_code=500, detail=f"Failed to update context: {str(e)}")
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@app.delete("/api/v1/contexts/{context_id}", tags=["Contexts"])
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@limiter.limit("30/minute")
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async def delete_context(
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request: Request,
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context_id: int,
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current_user: dict = Depends(get_current_user)
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):
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"""Delete a context."""
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try:
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# Check if context exists
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existing_context = self.context_db.get_context(context_id)
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if not existing_context:
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raise HTTPException(status_code=404, detail="Context not found")
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# Delete context
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success = self.context_db.delete_context(context_id)
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if not success:
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raise HTTPException(status_code=500, detail="Failed to delete context")
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# Update metrics
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CONTEXT_COUNT.dec()
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# Notify WebSocket subscribers
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await self._notify_websocket_subscribers("deleted", {"id": context_id})
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return {"success": True, "message": "Context deleted successfully"}
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except HTTPException:
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raise
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except Exception as e:
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logger.error("Error deleting context", context_id=context_id, error=str(e))
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raise HTTPException(status_code=500, detail=f"Failed to delete context: {str(e)}")
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# Search endpoints
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@app.post("/api/v1/search", response_model=SearchResponse, tags=["Search"])
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@limiter.limit("100/minute")
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async def search_contexts(
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request: Request,
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search_request: SearchRequest,
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current_user: dict = Depends(get_current_user)
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):
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"""Advanced context search with multiple search types."""
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try:
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start_time = time.time()
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# Perform search based on type
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if search_request.search_type == SearchType.SEMANTIC:
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results = self.embedding_manager.semantic_search_optimized(
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search_request.query,
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path_prefix=search_request.path_prefix,
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top_k=search_request.top_k,
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include_contexts=True
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)
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elif search_request.search_type == SearchType.HYBRID:
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results = self.embedding_manager.hybrid_search_optimized(
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search_request.query,
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path_prefix=search_request.path_prefix,
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top_k=search_request.top_k,
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semantic_weight=search_request.semantic_weight
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)
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else:
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# Fallback to keyword search
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contexts = self.context_db.search_contexts(search_request.query)
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results = [type('Result', (), {'context': ctx, 'score': 1.0})() for ctx in contexts[:search_request.top_k]]
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search_time = (time.time() - start_time) * 1000
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# Convert results to response format
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search_results = []
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for result in results:
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if hasattr(result, 'context') and result.context:
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context_response = self._context_to_response(result.context)
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context_response.similarity_score = getattr(result, 'score', None)
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search_results.append(SearchResult(
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context=context_response,
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score=result.score,
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explanation=f"Matched with {result.score:.3f} similarity"
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))
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# Update metrics
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SEARCH_COUNT.labels(search_type=search_request.search_type.value).inc()
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return SearchResponse(
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data=search_results,
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query=search_request.query,
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search_type=search_request.search_type,
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total_results=len(search_results),
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search_time_ms=search_time,
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filters_applied=search_request.filters
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)
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except Exception as e:
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logger.error("Error performing search", query=search_request.query, error=str(e))
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raise HTTPException(status_code=500, detail=f"Search failed: {str(e)}")
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# Batch operations
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@app.post("/api/v1/contexts/batch", response_model=BatchResponse, tags=["Batch Operations"])
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@limiter.limit("10/minute")
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async def batch_create_contexts(
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request: Request,
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batch_request: BatchContextCreate,
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background_tasks: BackgroundTasks,
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current_user: dict = Depends(get_current_user)
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):
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"""Create multiple contexts in batch."""
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|
try:
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results = BatchOperationResult(
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success_count=0,
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error_count=0,
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total_items=len(batch_request.contexts)
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)
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for i, context_data in enumerate(batch_request.contexts):
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try:
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context = Context(
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id=None,
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path=context_data.path,
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content=context_data.content,
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summary=context_data.summary,
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author=context_data.author or current_user["username"],
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version=1
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)
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context_id = self.context_db.store_context(context)
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results.created_ids.append(context_id)
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results.success_count += 1
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# Generate embedding in background
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background_tasks.add_task(
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self._generate_embedding_async,
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|
context_id,
|
|
context_data.content
|
|
)
|
|
|
|
except Exception as e:
|
|
results.error_count += 1
|
|
results.errors.append({
|
|
"index": i,
|
|
"path": context_data.path,
|
|
"error": str(e)
|
|
})
|
|
|
|
# Update metrics
|
|
CONTEXT_COUNT.inc(results.success_count)
|
|
|
|
return BatchResponse(data=results)
|
|
|
|
except Exception as e:
|
|
logger.error("Error in batch create", error=str(e))
|
|
raise HTTPException(status_code=500, detail=f"Batch operation failed: {str(e)}")
|
|
|
|
# Statistics endpoint
|
|
@app.get("/api/v1/stats", response_model=StatsResponse, tags=["Analytics"])
|
|
@limiter.limit("30/minute")
|
|
async def get_statistics(
|
|
request: Request,
|
|
current_user: dict = Depends(get_current_user)
|
|
):
|
|
"""Get comprehensive system statistics."""
|
|
try:
|
|
# Get embedding manager stats
|
|
emb_stats = self.embedding_manager.get_statistics()
|
|
|
|
# Mock context stats (implement based on your needs)
|
|
context_stats = ContextStats(
|
|
total_contexts=emb_stats["database_stats"]["total_embeddings"],
|
|
contexts_by_status={ContextStatus.ACTIVE: emb_stats["database_stats"]["total_embeddings"]},
|
|
contexts_by_author={"system": emb_stats["database_stats"]["total_embeddings"]},
|
|
average_content_length=100.0,
|
|
most_active_paths=[],
|
|
recent_activity=[]
|
|
)
|
|
|
|
search_stats = SearchStats(
|
|
total_searches=100, # Mock data
|
|
searches_by_type={SearchType.SEMANTIC: 60, SearchType.HYBRID: 40},
|
|
average_response_time_ms=50.0,
|
|
popular_queries=[],
|
|
search_success_rate=0.95
|
|
)
|
|
|
|
system_stats = SystemStats(
|
|
uptime_seconds=time.time(),
|
|
memory_usage_mb=100.0,
|
|
active_connections=len(self.websocket_connections),
|
|
cache_hit_rate=emb_stats["cache_stats"].get("hit_rate", 0.0),
|
|
embedding_model_info=emb_stats["current_model"],
|
|
database_size_mb=10.0
|
|
)
|
|
|
|
return StatsResponse(
|
|
context_stats=context_stats,
|
|
search_stats=search_stats,
|
|
system_stats=system_stats
|
|
)
|
|
|
|
except Exception as e:
|
|
logger.error("Error getting statistics", error=str(e))
|
|
raise HTTPException(status_code=500, detail=f"Failed to get statistics: {str(e)}")
|
|
|
|
# WebSocket endpoint
|
|
@app.websocket("/ws")
|
|
async def websocket_endpoint(websocket: WebSocket):
|
|
"""WebSocket endpoint for real-time updates."""
|
|
await self._handle_websocket_connection(websocket)
|
|
|
|
def _context_to_response(self, context) -> ContextResponse:
|
|
"""Convert database context to API response model."""
|
|
return ContextResponse(
|
|
id=context.id,
|
|
path=context.path,
|
|
content=context.content,
|
|
summary=context.summary,
|
|
author=context.author or "unknown",
|
|
tags=[], # TODO: implement tags
|
|
metadata={}, # TODO: implement metadata
|
|
status=ContextStatus.ACTIVE, # TODO: implement status
|
|
created_at=context.created_at,
|
|
updated_at=context.updated_at,
|
|
version=context.version
|
|
)
|
|
|
|
async def _generate_embedding_async(self, context_id: int, content: str):
|
|
"""Generate and store embedding asynchronously."""
|
|
try:
|
|
embedding = self.embedding_manager.generate_embedding(content)
|
|
self.embedding_manager.store_embedding(context_id, embedding)
|
|
logger.info("Generated embedding for context", context_id=context_id)
|
|
except Exception as e:
|
|
logger.error("Failed to generate embedding", context_id=context_id, error=str(e))
|
|
|
|
async def _handle_websocket_connection(self, websocket: WebSocket):
|
|
"""Handle WebSocket connection and subscriptions."""
|
|
await websocket.accept()
|
|
connection_id = str(id(websocket))
|
|
self.websocket_connections[connection_id] = websocket
|
|
ACTIVE_CONNECTIONS.inc()
|
|
|
|
try:
|
|
while True:
|
|
# Wait for subscription requests
|
|
data = await websocket.receive_json()
|
|
message = WebSocketMessage(**data)
|
|
|
|
if message.type == "subscribe":
|
|
subscription = SubscriptionRequest(**message.data)
|
|
self.subscriptions[connection_id] = {
|
|
"path_prefix": subscription.path_prefix,
|
|
"event_types": subscription.event_types,
|
|
"filters": subscription.filters
|
|
}
|
|
await websocket.send_json({
|
|
"type": "subscription_confirmed",
|
|
"data": {"path_prefix": subscription.path_prefix}
|
|
})
|
|
|
|
except WebSocketDisconnect:
|
|
pass
|
|
finally:
|
|
# Cleanup
|
|
self.websocket_connections.pop(connection_id, None)
|
|
self.subscriptions.pop(connection_id, None)
|
|
ACTIVE_CONNECTIONS.dec()
|
|
|
|
async def _notify_websocket_subscribers(self, event_type: str, data: Any):
|
|
"""Notify WebSocket subscribers of events."""
|
|
if not self.websocket_connections:
|
|
return
|
|
|
|
# Create notification message
|
|
notification = WebSocketMessage(
|
|
type=event_type,
|
|
data=data.dict() if hasattr(data, 'dict') else data
|
|
)
|
|
|
|
# Send to all relevant subscribers
|
|
for connection_id, websocket in list(self.websocket_connections.items()):
|
|
try:
|
|
subscription = self.subscriptions.get(connection_id)
|
|
if subscription and event_type in subscription["event_types"]:
|
|
# Check path filter
|
|
if hasattr(data, 'path') and subscription["path_prefix"]:
|
|
if not data.path.startswith(subscription["path_prefix"]):
|
|
continue
|
|
|
|
await websocket.send_json(notification.dict())
|
|
|
|
except Exception as e:
|
|
logger.error("Error sending WebSocket notification",
|
|
connection_id=connection_id, error=str(e))
|
|
# Remove failed connection
|
|
self.websocket_connections.pop(connection_id, None)
|
|
self.subscriptions.pop(connection_id, None)
|
|
|
|
def run(self, host: str = "0.0.0.0", port: int = 8000, **kwargs):
|
|
"""Run the API server."""
|
|
uvicorn.run(self.app, host=host, port=port, **kwargs)
|
|
|
|
|
|
def create_app() -> FastAPI:
|
|
"""Factory function to create the app."""
|
|
server = HCFSAPIServer()
|
|
return server.app
|
|
|
|
|
|
if __name__ == "__main__":
|
|
server = HCFSAPIServer()
|
|
server.run() |