Add configurable data providers and localize frontend UI

backend/data/historical_price_manager.py

@@ -4,16 +4,14 @@ Historical Price Manager for backtest mode
 """
 import logging
 from datetime import datetime
-from pathlib import Path
 from typing import Callable, Dict, List, Optional
 
 import pandas as pd
+from backend.data.provider_utils import normalize_symbol
+from backend.data.provider_router import get_provider_router
 
 logger = logging.getLogger(__name__)
 
-# Path to local CSV data directory
-_DATA_DIR = Path(__file__).parent / "ret_data"
-
 
 class HistoricalPriceManager:
     """Provides historical prices for backtest mode"""
@@ -27,6 +25,7 @@ class HistoricalPriceManager:
         self.open_prices = {}
         self.close_prices = {}
         self.running = False
+        self._router = get_provider_router()
 
     def subscribe(
         self,
@@ -34,12 +33,14 @@ class HistoricalPriceManager:
     ):
         """Subscribe to symbols"""
         for symbol in symbols:
+            symbol = normalize_symbol(symbol)
             if symbol not in self.subscribed_symbols:
                 self.subscribed_symbols.append(symbol)
 
     def unsubscribe(self, symbols: List[str]):
         """Unsubscribe from symbols"""
         for symbol in symbols:
+            symbol = normalize_symbol(symbol)
             if symbol in self.subscribed_symbols:
                 self.subscribed_symbols.remove(symbol)
                 self._price_cache.pop(symbol, None)
@@ -50,19 +51,9 @@ class HistoricalPriceManager:
 
     def _load_from_csv(self, symbol: str) -> Optional[pd.DataFrame]:
         """Load price data from local CSV file."""
-        csv_path = _DATA_DIR / f"{symbol}.csv"
-        if not csv_path.exists():
-            return None
-
         try:
-            df = pd.read_csv(csv_path)
-            if df.empty or "time" not in df.columns:
-                return None
-
-            df["Date"] = pd.to_datetime(df["time"])
-            df.set_index("Date", inplace=True)
-            df.sort_index(inplace=True)
-            return df
+            df = self._router.load_local_price_frame(symbol)
+            return df if not df.empty else None
         except Exception as e:
             logger.warning(f"Failed to load CSV for {symbol}: {e}")
             return None