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| """ | |
| SatQuery AI — FastAPI backend entrypoint. | |
| Phase 1-2: app bootstrap, CORS, /api/health. | |
| Phase 3: /api/upload — GeoTIFF/TIFF input validation (P0, PS requirement). | |
| Phase 4: /api/query — query classification + input compatibility + | |
| tool selection + execution trace (P0, PS requirement). | |
| Phase 5: /api/query now runs a real VQA specialist model | |
| (models/vqa.py, Salesforce/blip-vqa-base + optional | |
| BigEarthNet LoRA adapter) for the vqa task. Other tasks | |
| remain routing-only until Phases 6-8. | |
| Add feature routers here only once they exist and are imported | |
| explicitly — keep this file a thin composition root. | |
| """ | |
| from fastapi import FastAPI | |
| from fastapi.middleware.cors import CORSMiddleware | |
| from api import health, query, upload | |
| app = FastAPI( | |
| title="SatQuery AI Backend", | |
| description="Agentic remote-sensing vision-language assistant — orchestration API.", | |
| version="0.1.0", | |
| ) | |
| # Local dev origins only. Tighten before any real deployment. | |
| ALLOWED_ORIGINS = [ | |
| "http://localhost:3000", | |
| "http://127.0.0.1:3000", | |
| ] | |
| app.add_middleware( | |
| CORSMiddleware, | |
| allow_origins=ALLOWED_ORIGINS, | |
| allow_credentials=True, | |
| allow_methods=["*"], | |
| allow_headers=["*"], | |
| ) | |
| app.include_router(health.router, prefix="/api") | |
| app.include_router(upload.router, prefix="/api") | |
| app.include_router(query.router, prefix="/api") | |
| def root(): | |
| return {"service": "satquery-ai-backend", "status": "running", "docs": "/docs"} | |