Edwin Eames
af9c2f99e7
FastAPI-based scraper for commodity ticker prices (HO, CL, RB futures) and competitor oil pricing from NewEnglandOil. Includes cron-driven scraping, PostgreSQL storage, and REST endpoints for price retrieval. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
73 lines
2.2 KiB
Python
73 lines
2.2 KiB
Python
from fastapi import APIRouter, Depends, HTTPException
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from sqlalchemy.orm import Session
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from typing import List
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import logging
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from app.database import get_db
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from app.models import TickerPrice
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from app.priceticker.scraper import fetch_ticker_data
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logger = logging.getLogger(__name__)
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router = APIRouter(
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prefix="/scraper/priceticker",
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tags=["Price Ticker"]
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)
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@router.post("/update")
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async def update_prices(db: Session = Depends(get_db)):
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"""
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Trigger an immediate update of stock/commodity prices.
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"""
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logger.info("Triggering ticker update...")
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data = fetch_ticker_data()
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if not data:
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raise HTTPException(status_code=500, detail="Failed to fetch ticker data")
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try:
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saved_records = []
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for item in data:
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record = TickerPrice(
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symbol=item["symbol"],
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price_decimal=item["price"],
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currency=item["currency"],
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change_decimal=item["change"],
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percent_change_decimal=item["percent_change"],
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timestamp=item["timestamp"]
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)
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db.add(record)
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saved_records.append(record)
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db.commit()
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return {"status": "success", "updated": len(saved_records)}
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except Exception as e:
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db.rollback()
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logger.error(f"Database error saving tickers: {e}")
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raise HTTPException(status_code=500, detail=f"Database error: {str(e)}")
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@router.get("/latest")
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async def get_latest_prices(db: Session = Depends(get_db)):
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"""
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Get the most recent price for each ticker symbol.
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"""
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# Subquery to find the latest timestamp for each symbol
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# This is a bit complex in pure ORM, so we might do it simply for now:
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# 1. Get list of distinct symbols we care about
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# 2. Query latest for each
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results = []
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# We know the symbols we care about: HO=F, CL=F, RB=F
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TARGET_SYMBOLS = ["HO=F", "CL=F", "RB=F"]
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for symbol in TARGET_SYMBOLS:
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latest = db.query(TickerPrice).filter(
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TickerPrice.symbol == symbol
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).order_by(TickerPrice.timestamp.desc()).first()
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if latest:
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results.append(latest.to_dict())
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return results
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