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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")
@app.get("/")
def root():
return {"service": "satquery-ai-backend", "status": "running", "docs": "/docs"}
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