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>
66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
import logging
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import yfinance as yf
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from decimal import Decimal
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from datetime import datetime
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from typing import List, Dict, Any
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logger = logging.getLogger(__name__)
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# Ticker mapping
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# HO=F : Heating Oil
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# CL=F : Crude Oil
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# RB=F : RBOB Gasoline
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TICKERS = ["HO=F", "CL=F", "RB=F"]
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def fetch_ticker_data() -> List[Dict[str, Any]]:
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"""
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Fetch current data for oil tickers from Yahoo Finance.
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Returns:
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List of dictionaries containing ticker data.
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"""
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results = []
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try:
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# Fetch data for all tickers at once
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tickers_str = " ".join(TICKERS)
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data = yf.Tickers(tickers_str)
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for symbol in TICKERS:
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try:
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ticker = data.tickers[symbol]
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# Fast info usually contains the latest price
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info = ticker.fast_info
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# Fallback to history if fast_info is missing crucial data (simplified here)
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# But fast_info is generally faster and sufficient for last_price
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last_price = info.last_price
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previous_close = info.previous_close
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if last_price is None:
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logger.warning(f"No price found for {symbol}")
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continue
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change = last_price - previous_close
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percent_change = (change / previous_close) * 100 if previous_close else 0
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results.append({
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"symbol": symbol,
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"price": Decimal(str(last_price)),
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"currency": info.currency,
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"change": Decimal(str(change)),
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"percent_change": Decimal(str(percent_change)),
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"timestamp": datetime.utcnow()
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})
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logger.info(f"Fetched {symbol}: {last_price} ({percent_change:.2f}%)")
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except Exception as e:
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logger.error(f"Error processing {symbol}: {e}")
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except Exception as e:
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logger.error(f"Error fetching ticker data: {e}")
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return results
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