152 lines
4.3 KiB
Python
152 lines
4.3 KiB
Python
"""Main FastAPI application for AI Insights Service."""
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from fastapi import FastAPI, Response
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from fastapi.middleware.cors import CORSMiddleware
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from contextlib import asynccontextmanager
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import structlog
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import os
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from app.core.config import settings
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from app.core.database import init_db, close_db
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from app.api import insights
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from shared.monitoring.logging import setup_logging
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from shared.monitoring.metrics import MetricsCollector, add_metrics_middleware
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from shared.monitoring.system_metrics import SystemMetricsCollector
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# OpenTelemetry imports
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from opentelemetry import trace
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from opentelemetry.sdk.trace import TracerProvider
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from opentelemetry.sdk.trace.export import BatchSpanProcessor
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from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
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from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
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from opentelemetry.instrumentation.httpx import HTTPXClientInstrumentor
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from opentelemetry.instrumentation.redis import RedisInstrumentor
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from opentelemetry.instrumentation.sqlalchemy import SQLAlchemyInstrumentor
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from opentelemetry.sdk.resources import Resource
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# Configure OpenTelemetry tracing
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def setup_tracing(service_name: str = "ai-insights"):
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"""Initialize OpenTelemetry tracing with OTLP exporter for Jaeger"""
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resource = Resource.create({"service.name": service_name})
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otlp_exporter = OTLPSpanExporter(
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endpoint=os.getenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://otel-collector.monitoring.svc.cluster.local:4317"),
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insecure=True
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)
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provider = TracerProvider(resource=resource)
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processor = BatchSpanProcessor(otlp_exporter)
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provider.add_span_processor(processor)
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trace.set_tracer_provider(provider)
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return provider
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# Initialize tracing
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tracer_provider = setup_tracing("ai-insights")
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# Setup logging
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setup_logging("ai-insights", getattr(settings, 'LOG_LEVEL', 'INFO'))
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logger = structlog.get_logger()
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Lifespan event handler for startup and shutdown."""
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# Startup
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logger.info("Starting AI Insights Service", service=settings.SERVICE_NAME, version=settings.SERVICE_VERSION)
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await init_db()
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logger.info("Database initialized")
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# Initialize system metrics collection
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system_metrics = SystemMetricsCollector("ai-insights")
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logger.info("System metrics collection started")
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# Note: Metrics are exported via OpenTelemetry OTLP to SigNoz - no metrics server needed
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logger.info("Metrics export configured via OpenTelemetry OTLP")
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yield
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# Shutdown
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logger.info("Shutting down AI Insights Service")
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await close_db()
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logger.info("Database connections closed")
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# Create FastAPI app
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app = FastAPI(
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title="AI Insights Service",
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description="Intelligent insights and recommendations for bakery operations",
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version=settings.SERVICE_VERSION,
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lifespan=lifespan
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)
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# Instrument FastAPI with OpenTelemetry
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FastAPIInstrumentor.instrument_app(app)
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# Instrument httpx for outgoing requests
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HTTPXClientInstrumentor().instrument()
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# Instrument Redis
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RedisInstrumentor().instrument()
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# Instrument SQLAlchemy
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SQLAlchemyInstrumentor().instrument()
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# Initialize metrics collector
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metrics_collector = MetricsCollector("ai-insights")
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# Add metrics middleware to track HTTP requests
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add_metrics_middleware(app, metrics_collector)
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# CORS middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=settings.ALLOWED_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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# Include routers
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app.include_router(
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insights.router,
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prefix=settings.API_V1_PREFIX,
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tags=["insights"]
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)
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@app.get("/")
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async def root():
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"""Root endpoint."""
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return {
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"service": settings.SERVICE_NAME,
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"version": settings.SERVICE_VERSION,
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"status": "running"
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}
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@app.get("/health")
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async def health_check():
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"""Health check endpoint."""
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return {
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"status": "healthy",
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"service": settings.SERVICE_NAME,
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"version": settings.SERVICE_VERSION
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}
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# Note: Metrics are exported via OpenTelemetry OTLP to SigNoz
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# The /metrics endpoint is not needed as metrics are pushed automatically
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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"app.main:app",
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host="0.0.0.0",
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port=8000,
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reload=True,
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log_level=settings.LOG_LEVEL.lower()
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)
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