Greg
37f8eac932
FastAPI application that ingests CFTC Commitments of Traders data into SQLite and exposes it via a REST API with analytics endpoints (screener, percentile rank, concentration). Includes CLI for historical and weekly data ingestion, Docker setup, and a frontend. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
from fastapi import FastAPI
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from fastapi.responses import FileResponse
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from fastapi.staticfiles import StaticFiles
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from pathlib import Path
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from app.api.routes import commodities, positions, analytics, reports
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app = FastAPI(
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title="CFTC COT Explorer",
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description="Explore CFTC Commitments of Traders positioning data",
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version="1.0.0",
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)
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app.include_router(commodities.router)
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app.include_router(positions.router)
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app.include_router(analytics.router)
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app.include_router(reports.router)
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FRONTEND_DIR = Path(__file__).parent.parent.parent / "frontend"
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if FRONTEND_DIR.exists():
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app.mount("/static", StaticFiles(directory=str(FRONTEND_DIR)), name="static")
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@app.get("/", include_in_schema=False)
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async def root():
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index = FRONTEND_DIR / "index.html"
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if index.exists():
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return FileResponse(str(index))
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return {"message": "CFTC COT Explorer API", "docs": "/docs"}
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@app.get("/health", include_in_schema=False)
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async def health():
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from app.db import get_db
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with get_db() as conn:
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count = conn.execute("SELECT COUNT(*) FROM reports").fetchone()[0]
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return {"status": "ok", "reports": count}
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