Elshat
6c890fa20a
- pipeline: fetch/extract/normalize/categorize/validate/llm_extract/raw/orchestrator - analytics: dynamics, spreads/arbitrage, seasonality, anomalies, alerts, forecast - dashboard: FastAPI + Plotly (overview/products/product/countries/alerts/quality/sources) - scheduler (APScheduler 07:30), digest (Telegram/SMTP dry-run), demo_data - SQLite (PORTABLE) with idempotent upserts, quarantine, alerts dedup - truthfulness: LLM quote-verified, source link + date on every price - tests: 13 passed, 1 skipped (robots port)
28 lines
884 B
Python
28 lines
884 B
Python
"""AgroMarket Price Agent — dashboard server entrypoint.
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Run with uvicorn: uvicorn src.dashboard.app:app --host 0.0.0.0 --port $PORT
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Or directly: python3 -m src.dashboard.run
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"""
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from __future__ import annotations
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import logging
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import os
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def main() -> None:
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import uvicorn
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logging.basicConfig(level=logging.INFO,
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format="%(asctime)s %(levelname)s %(name)s %(message)s")
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port = int(os.environ.get("PORT", "8000"))
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host = os.environ.get("DASHBOARD_HOST", "0.0.0.0")
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# Make sure the DB exists and demo data is loaded (idempotent)
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from .. import db
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from ..analytics.alerts import generate_alerts
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_ = db.source_health() # touch schema
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generate_alerts()
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uvicorn.run("src.dashboard.app:app", host=host, port=port,
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log_level="info", reload=False, workers=1)
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if __name__ == "__main__":
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main()
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