Mondo Diaz
2dea63f99f
Major enhancements: - Feature flag system for cloud vs air-gapped deployment modes - Automatic storage backend selection based on deployment mode - Comprehensive seed data generation utilities - Support for generating CSV, JSON, binary, and PCAP test files - Quick seed script for easy data generation - Angular 19 frontend complete setup documentation - Material Design UI component examples and configuration Fixes: - Resolve SQLAlchemy metadata column name conflict - Rename metadata to custom_metadata throughout codebase - Fix API health check issues Documentation: - FEATURES.md - Complete feature overview - FRONTEND_SETUP.md - Angular 19 setup guide with examples - SUMMARY.md - Implementation summary 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
74 lines
1.7 KiB
Python
74 lines
1.7 KiB
Python
from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.api.artifacts import router as artifacts_router
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from app.database import init_db
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from app.config import settings
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import logging
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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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# Create FastAPI app
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app = FastAPI(
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title="Test Artifact Data Lake",
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description="API for storing and querying test artifacts including CSV, JSON, binary files, and packet captures",
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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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# Configure CORS
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app.add_middleware(
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CORSMiddleware,
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allow_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(artifacts_router)
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@app.on_event("startup")
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async def startup_event():
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"""Initialize database on startup"""
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logger.info("Initializing database...")
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init_db()
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logger.info(f"Deployment mode: {settings.deployment_mode}")
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logger.info(f"Using storage backend: {settings.storage_backend}")
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logger.info("Application started successfully")
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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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"message": "Test Artifact Data Lake API",
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"version": "1.0.0",
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"docs": "/docs",
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"deployment_mode": settings.deployment_mode,
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"storage_backend": settings.storage_backend
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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 {"status": "healthy"}
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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=settings.api_host,
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port=settings.api_port,
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reload=True
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)
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