stats, standartized data provider
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@ -60,6 +60,13 @@ class StandardizedDataProvider(DataProvider):
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from datetime import timedelta
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self.live_price_cache_ttl = timedelta(milliseconds=500)
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# Initialize WebSocket cache for dashboard compatibility
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if not hasattr(self, 'ws_price_cache'):
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self.ws_price_cache: Dict[str, float] = {}
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# Initialize orchestrator reference (for dashboard compatibility)
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self.orchestrator = None
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# COB provider integration
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self.cob_provider: Optional[MultiExchangeCOBProvider] = None
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self._initialize_cob_provider()
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@ -488,32 +495,177 @@ class StandardizedDataProvider(DataProvider):
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return []
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def get_live_price_from_api(self, symbol: str) -> Optional[float]:
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"""FORCE fetch live price from Binance API for low-latency updates"""
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# Check cache first to avoid excessive API calls
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if symbol in self.live_price_cache:
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price, timestamp = self.live_price_cache[symbol]
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if datetime.now() - timestamp < self.live_price_cache_ttl:
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return price
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"""ROBUST live price fetching with comprehensive fallbacks"""
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try:
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import requests
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binance_symbol = symbol.replace('/', '')
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url = f"https://api.binance.com/api/v3/ticker/price?symbol={binance_symbol}"
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response = requests.get(url, timeout=0.5) # Use a short timeout for low latency
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response.raise_for_status()
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data = response.json()
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price = float(data['price'])
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# 1. Check cache first to avoid excessive API calls
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if symbol in self.live_price_cache:
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price, timestamp = self.live_price_cache[symbol]
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if datetime.now() - timestamp < self.live_price_cache_ttl:
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logger.debug(f"Using cached price for {symbol}: ${price:.2f}")
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return price
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# Update cache and current prices
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self.live_price_cache[symbol] = (price, datetime.now())
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self.current_prices[symbol] = price
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# 2. Try direct Binance API call
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try:
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import requests
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binance_symbol = symbol.replace('/', '')
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url = f"https://api.binance.com/api/v3/ticker/price?symbol={binance_symbol}"
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response = requests.get(url, timeout=0.5) # Use a short timeout for low latency
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response.raise_for_status()
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data = response.json()
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price = float(data['price'])
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# Update cache and current prices
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self.live_price_cache[symbol] = (price, datetime.now())
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self.current_prices[symbol] = price
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logger.info(f"LIVE PRICE for {symbol}: ${price:.2f}")
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return price
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except requests.exceptions.RequestException as e:
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logger.warning(f"Failed to get live price for {symbol} from API: {e}")
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except Exception as e:
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logger.warning(f"Unexpected error in API call for {symbol}: {e}")
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# 3. Fallback to current prices from parent
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if hasattr(self, 'current_prices') and symbol in self.current_prices:
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price = self.current_prices[symbol]
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if price and price > 0:
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logger.debug(f"Using current price for {symbol}: ${price:.2f}")
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return price
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# 4. Try parent's get_current_price method
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if hasattr(self, 'get_current_price'):
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try:
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price = self.get_current_price(symbol)
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if price and price > 0:
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self.current_prices[symbol] = price
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logger.debug(f"Got current price for {symbol} from parent: ${price:.2f}")
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return price
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except Exception as e:
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logger.debug(f"Parent get_current_price failed for {symbol}: {e}")
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# 5. Try historical data from multiple timeframes
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for timeframe in ['1m', '5m', '1h']: # Start with 1m for better reliability
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try:
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df = self.get_historical_data(symbol, timeframe, limit=1, refresh=True)
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if df is not None and not df.empty:
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price = float(df['close'].iloc[-1])
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if price > 0:
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self.current_prices[symbol] = price
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logger.debug(f"Got current price for {symbol} from {timeframe}: ${price:.2f}")
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return price
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except Exception as tf_error:
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logger.debug(f"Failed to get {timeframe} data for {symbol}: {tf_error}")
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continue
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# 6. Try WebSocket cache if available
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ws_symbol = symbol.replace('/', '')
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if hasattr(self, 'ws_price_cache') and ws_symbol in self.ws_price_cache:
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price = self.ws_price_cache[ws_symbol]
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if price and price > 0:
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logger.debug(f"Using WebSocket cache for {symbol}: ${price:.2f}")
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return price
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# 7. Try to get from orchestrator if available (for dashboard compatibility)
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if hasattr(self, 'orchestrator') and self.orchestrator:
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try:
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if hasattr(self.orchestrator, 'data_provider'):
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price = self.orchestrator.data_provider.get_current_price(symbol)
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if price and price > 0:
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self.current_prices[symbol] = price
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logger.debug(f"Got current price for {symbol} from orchestrator: ${price:.2f}")
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return price
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except Exception as orch_error:
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logger.debug(f"Failed to get price from orchestrator: {orch_error}")
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# 8. Last resort: try external API with longer timeout
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try:
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import requests
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binance_symbol = symbol.replace('/', '')
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url = f"https://api.binance.com/api/v3/ticker/price?symbol={binance_symbol}"
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response = requests.get(url, timeout=2) # Longer timeout for last resort
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if response.status_code == 200:
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data = response.json()
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price = float(data['price'])
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if price > 0:
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self.current_prices[symbol] = price
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logger.warning(f"Got current price for {symbol} from external API (last resort): ${price:.2f}")
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return price
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except Exception as api_error:
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logger.debug(f"External API failed: {api_error}")
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logger.warning(f"Could not get current price for {symbol} from any source")
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logger.info(f"LIVE PRICE for {symbol}: ${price:.2f}")
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return price
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except requests.exceptions.RequestException as e:
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logger.warning(f"Failed to get live price for {symbol} from API: {e}")
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# Fallback to last known current price
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return self.current_prices.get(symbol)
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except Exception as e:
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logger.error(f"Unexpected error getting live price for {symbol}: {e}")
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return self.current_prices.get(symbol)
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logger.error(f"Error getting current price for {symbol}: {e}")
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# Return a fallback price if we have any cached data
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if hasattr(self, 'current_prices') and symbol in self.current_prices and self.current_prices[symbol] > 0:
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return self.current_prices[symbol]
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# Return None instead of hardcoded fallbacks - let the caller handle missing data
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return None
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def get_current_price(self, symbol: str) -> Optional[float]:
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"""Get current price with robust fallbacks - enhanced version"""
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try:
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# 1. Try live price API first (our enhanced method)
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price = self.get_live_price_from_api(symbol)
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if price and price > 0:
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return price
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# 2. Try parent's get_current_price method
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if hasattr(super(), 'get_current_price'):
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try:
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price = super().get_current_price(symbol)
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if price and price > 0:
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return price
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except Exception as e:
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logger.debug(f"Parent get_current_price failed for {symbol}: {e}")
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# 3. Try current prices cache
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if hasattr(self, 'current_prices') and symbol in self.current_prices:
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price = self.current_prices[symbol]
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if price and price > 0:
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return price
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# 4. Try historical data from multiple timeframes
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for timeframe in ['1m', '5m', '1h']:
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try:
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df = self.get_historical_data(symbol, timeframe, limit=1, refresh=True)
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if df is not None and not df.empty:
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price = float(df['close'].iloc[-1])
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if price > 0:
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self.current_prices[symbol] = price
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return price
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except Exception as tf_error:
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logger.debug(f"Failed to get {timeframe} data for {symbol}: {tf_error}")
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continue
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# 5. Try WebSocket cache if available
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ws_symbol = symbol.replace('/', '')
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if hasattr(self, 'ws_price_cache') and ws_symbol in self.ws_price_cache:
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price = self.ws_price_cache[ws_symbol]
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if price and price > 0:
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return price
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logger.warning(f"Could not get current price for {symbol} from any source")
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return None
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except Exception as e:
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logger.error(f"Error getting current price for {symbol}: {e}")
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return None
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def update_ws_price_cache(self, symbol: str, price: float):
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"""Update WebSocket price cache for dashboard compatibility"""
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try:
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ws_symbol = symbol.replace('/', '')
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self.ws_price_cache[ws_symbol] = price
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# Also update current prices for consistency
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self.current_prices[symbol] = price
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logger.debug(f"Updated WS cache for {symbol}: ${price:.2f}")
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except Exception as e:
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logger.error(f"Error updating WS cache for {symbol}: {e}")
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def set_orchestrator(self, orchestrator):
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"""Set orchestrator reference for dashboard compatibility"""
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self.orchestrator = orchestrator
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