feat: initial commit for oil price scraper service

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>

app/priceticker/scraper.py

@@ -0,0 +1,65 @@
+import logging
+import yfinance as yf
+from decimal import Decimal
+from datetime import datetime
+from typing import List, Dict, Any
+
+logger = logging.getLogger(__name__)
+
+# Ticker mapping
+# HO=F : Heating Oil
+# CL=F : Crude Oil
+# RB=F : RBOB Gasoline
+TICKERS = ["HO=F", "CL=F", "RB=F"]
+
+def fetch_ticker_data() -> List[Dict[str, Any]]:
+    """
+    Fetch current data for oil tickers from Yahoo Finance.
+    
+    Returns:
+        List of dictionaries containing ticker data.
+    """
+    results = []
+    
+    try:
+        # Fetch data for all tickers at once
+        tickers_str = " ".join(TICKERS)
+        data = yf.Tickers(tickers_str)
+        
+        for symbol in TICKERS:
+            try:
+                ticker = data.tickers[symbol]
+                # Fast info usually contains the latest price
+                info = ticker.fast_info
+                
+                # Fallback to history if fast_info is missing crucial data (simplified here)
+                # But fast_info is generally faster and sufficient for last_price
+                
+                last_price = info.last_price
+                previous_close = info.previous_close
+                
+                if last_price is None:
+                    logger.warning(f"No price found for {symbol}")
+                    continue
+
+                change = last_price - previous_close
+                percent_change = (change / previous_close) * 100 if previous_close else 0
+                
+                results.append({
+                    "symbol": symbol,
+                    "price": Decimal(str(last_price)),
+                    "currency": info.currency,
+                    "change": Decimal(str(change)),
+                    "percent_change": Decimal(str(percent_change)),
+                    "timestamp": datetime.utcnow()
+                })
+                
+                logger.info(f"Fetched {symbol}: {last_price} ({percent_change:.2f}%)")
+                
+            except Exception as e:
+                logger.error(f"Error processing {symbol}: {e}")
+                
+    except Exception as e:
+        logger.error(f"Error fetching ticker data: {e}")
+        
+    return results