UI and stability
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@ -36,6 +36,12 @@ import math
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# Suppress ta library deprecation warnings
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warnings.filterwarnings("ignore", category=FutureWarning, module="ta")
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# Import timezone utilities
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from utils.timezone_utils import (
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normalize_timestamp, normalize_dataframe_timestamps, normalize_dataframe_index,
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now_system, now_utc, to_sofia, UTC, SOFIA_TZ, log_timezone_info
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)
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from .config import get_config
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from .tick_aggregator import RealTimeTickAggregator, RawTick, OHLCVBar
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from .cnn_monitor import log_cnn_prediction
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@ -472,7 +478,7 @@ class DataProvider:
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# Create raw tick entry
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raw_tick = {
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'symbol': symbol,
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'timestamp': datetime.utcnow(),
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'timestamp': now_system(), # Use system timezone consistently
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'bids': actual_data.get('bids', [])[:50], # Top 50 levels
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'asks': actual_data.get('asks', [])[:50], # Top 50 levels
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'stats': actual_data.get('stats', {}),
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@ -1097,8 +1103,7 @@ class DataProvider:
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# Process columns with proper timezone handling (MEXC returns UTC timestamps)
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df['timestamp'] = pd.to_datetime(df['timestamp'], unit='ms', utc=True)
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# Convert from UTC to Europe/Sofia timezone
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df['timestamp'] = df['timestamp'].dt.tz_convert('Europe/Sofia')
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# Keep in UTC to match COB WebSocket data (no timezone conversion)
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for col in ['open', 'high', 'low', 'close', 'volume']:
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df[col] = df[col].astype(float)
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@ -1144,18 +1149,16 @@ class DataProvider:
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if isinstance(timestamp, (int, float)):
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import pytz
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utc = pytz.UTC
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sofia_tz = pytz.timezone('Europe/Sofia')
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tick_time = datetime.fromtimestamp(timestamp, tz=utc)
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tick_time = tick_time.astimezone(sofia_tz)
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# Keep in UTC to match COB WebSocket data
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elif isinstance(timestamp, datetime):
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import pytz
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sofia_tz = pytz.timezone('Europe/Sofia')
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utc = pytz.UTC
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tick_time = timestamp
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# If no timezone info, assume UTC and convert to Europe/Sofia
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# If no timezone info, assume UTC and keep in UTC
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if tick_time.tzinfo is None:
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utc = pytz.UTC
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tick_time = utc.localize(tick_time)
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tick_time = tick_time.astimezone(sofia_tz)
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# Keep in UTC (no timezone conversion)
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else:
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continue
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@ -1195,15 +1198,15 @@ class DataProvider:
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# Convert to DataFrame
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df = pd.DataFrame(candles)
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# Ensure timestamps are timezone-aware (Europe/Sofia)
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# Ensure timestamps are timezone-aware (UTC to match COB WebSocket data)
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if not df.empty and 'timestamp' in df.columns:
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import pytz
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sofia_tz = pytz.timezone('Europe/Sofia')
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# If timestamps are not timezone-aware, make them Europe/Sofia
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utc = pytz.UTC
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# If timestamps are not timezone-aware, make them UTC
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if df['timestamp'].dt.tz is None:
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df['timestamp'] = df['timestamp'].dt.tz_localize(sofia_tz)
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df['timestamp'] = df['timestamp'].dt.tz_localize(utc)
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else:
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df['timestamp'] = df['timestamp'].dt.tz_convert(sofia_tz)
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df['timestamp'] = df['timestamp'].dt.tz_convert(utc)
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df = df.sort_values('timestamp').reset_index(drop=True)
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@ -1283,8 +1286,8 @@ class DataProvider:
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# Process columns with proper timezone handling (Binance returns UTC timestamps)
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df['timestamp'] = pd.to_datetime(df['timestamp'], unit='ms', utc=True)
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# Convert from UTC to Europe/Sofia timezone
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df['timestamp'] = df['timestamp'].dt.tz_convert('Europe/Sofia')
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# Keep in UTC to match COB WebSocket data (no timezone conversion)
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# This prevents the 3-hour gap when appending live COB data
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for col in ['open', 'high', 'low', 'close', 'volume']:
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df[col] = df[col].astype(float)
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@ -1491,9 +1494,8 @@ class DataProvider:
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import pytz
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utc = pytz.UTC
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sofia_tz = pytz.timezone('Europe/Sofia')
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end_time = datetime.utcnow().replace(tzinfo=utc).astimezone(sofia_tz)
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end_time = datetime.utcnow().replace(tzinfo=utc)
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start_time = end_time - timedelta(days=30)
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if cached_data is not None and not cached_data.empty:
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@ -1596,8 +1598,7 @@ class DataProvider:
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# Process columns with proper timezone handling
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df['timestamp'] = pd.to_datetime(df['timestamp'], unit='ms', utc=True)
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# Convert from UTC to Europe/Sofia timezone to match cached data
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df['timestamp'] = df['timestamp'].dt.tz_convert('Europe/Sofia')
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# Keep in UTC to match COB WebSocket data (no timezone conversion)
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for col in ['open', 'high', 'low', 'close', 'volume']:
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df[col] = df[col].astype(float)
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@ -1669,8 +1670,7 @@ class DataProvider:
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# Process columns with proper timezone handling
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batch_df['timestamp'] = pd.to_datetime(batch_df['timestamp'], unit='ms', utc=True)
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# Convert from UTC to Europe/Sofia timezone to match cached data
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batch_df['timestamp'] = batch_df['timestamp'].dt.tz_convert('Europe/Sofia')
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# Keep in UTC to match COB WebSocket data (no timezone conversion)
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for col in ['open', 'high', 'low', 'close', 'volume']:
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batch_df[col] = batch_df[col].astype(float)
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@ -2033,15 +2033,14 @@ class DataProvider:
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if cache_file.exists():
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try:
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df = pd.read_parquet(cache_file)
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# Ensure cached monthly data has proper timezone (Europe/Sofia)
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# Ensure cached monthly data has proper timezone (UTC to match COB WebSocket data)
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if not df.empty and 'timestamp' in df.columns:
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if df['timestamp'].dt.tz is None:
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# If no timezone info, assume UTC and convert to Europe/Sofia
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# If no timezone info, assume UTC and keep in UTC
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df['timestamp'] = pd.to_datetime(df['timestamp'], utc=True)
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df['timestamp'] = df['timestamp'].dt.tz_convert('Europe/Sofia')
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elif str(df['timestamp'].dt.tz) != 'Europe/Sofia':
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# Convert to Europe/Sofia if different timezone
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df['timestamp'] = df['timestamp'].dt.tz_convert('Europe/Sofia')
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elif str(df['timestamp'].dt.tz) != 'UTC':
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# Convert to UTC if different timezone
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df['timestamp'] = df['timestamp'].dt.tz_convert('UTC')
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logger.info(f"Loaded {len(df)} 1m candles from cache for {symbol}")
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return df
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except Exception as parquet_e:
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@ -2317,15 +2316,14 @@ class DataProvider:
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if cache_age < max_age:
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try:
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df = pd.read_parquet(cache_file)
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# Ensure cached data has proper timezone (Europe/Sofia)
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# Ensure cached data has proper timezone (UTC to match COB WebSocket data)
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if not df.empty and 'timestamp' in df.columns:
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if df['timestamp'].dt.tz is None:
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# If no timezone info, assume UTC and convert to Europe/Sofia
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# If no timezone info, assume UTC and keep in UTC
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df['timestamp'] = pd.to_datetime(df['timestamp'], utc=True)
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df['timestamp'] = df['timestamp'].dt.tz_convert('Europe/Sofia')
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elif str(df['timestamp'].dt.tz) != 'Europe/Sofia':
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# Convert to Europe/Sofia if different timezone
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df['timestamp'] = df['timestamp'].dt.tz_convert('Europe/Sofia')
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elif str(df['timestamp'].dt.tz) != 'UTC':
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# Convert to UTC if different timezone
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df['timestamp'] = df['timestamp'].dt.tz_convert('UTC')
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logger.debug(f"Loaded {len(df)} rows from cache for {symbol} {timeframe} (age: {cache_age/60:.1f}min)")
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return df
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except Exception as parquet_e:
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