popov/gogo2
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

logging channels; training steps storage

Browse Source
This commit is contained in:
Dobromir Popov
2025-11-22 12:47:43 +02:00
parent 7a219b5ebc
commit e404658dc7
9 changed files with 938 additions and 37 deletions
Download Patch File Download Diff File Expand all files Collapse all files

24
ANNOTATE/web/app.py
View File

@@ -25,6 +25,7 @@ import threading
import uuid
import time
import torch
from utils.logging_config import get_channel_logger, LogChannel
# Import core components from main system
try:
@@ -98,6 +99,11 @@ logging.basicConfig(
logger = logging.getLogger(__name__)
logger.info(f"Logging to: {log_file}")
# Create channel-specific loggers
pivot_logger = get_channel_logger(__name__, LogChannel.PIVOTS)
api_logger = get_channel_logger(__name__, LogChannel.API)
webui_logger = get_channel_logger(__name__, LogChannel.WEBUI)
class BacktestRunner:
"""Runs backtest candle-by-candle with model predictions and tracks PnL"""
@@ -941,7 +947,7 @@ class AnnotationDashboard:
ts_str, idx = last_info['low']
pivot_map[ts_str]['lows'][idx]['is_last'] = True
logger.info(f"Found {len(pivot_map)} pivot candles for {symbol} {timeframe} (from {len(df)} candles)")
pivot_logger.info(f"Found {len(pivot_map)} pivot candles for {symbol} {timeframe} (from {len(df)} candles)")
return pivot_map
except Exception as e:
@@ -1067,7 +1073,7 @@ class AnnotationDashboard:
'error': {'code': 'INVALID_REQUEST', 'message': 'Missing timeframe'}
})
logger.info(f" Recalculating pivots for {symbol} {timeframe} using backend data")
pivot_logger.info(f"Recalculating pivots for {symbol} {timeframe} using backend data")
if not self.data_loader:
return jsonify({
@@ -1094,7 +1100,7 @@ class AnnotationDashboard:
# Recalculate pivot markers
pivot_markers = self._get_pivot_markers_for_timeframe(symbol, timeframe, df)
logger.info(f" Recalculated {len(pivot_markers)} pivot candles")
pivot_logger.info(f"Recalculated {len(pivot_markers)} pivot candles")
return jsonify({
'success': True,
@@ -1120,11 +1126,11 @@ class AnnotationDashboard:
limit = data.get('limit', 2500) # Default 2500 candles for training
direction = data.get('direction', 'latest') # 'latest', 'before', or 'after'
logger.info(f"Chart data request: {symbol} {timeframes} direction={direction} limit={limit}")
webui_logger.info(f"Chart data request: {symbol} {timeframes} direction={direction} limit={limit}")
if start_time_str:
logger.info(f" start_time: {start_time_str}")
webui_logger.info(f" start_time: {start_time_str}")
if end_time_str:
logger.info(f" end_time: {end_time_str}")
webui_logger.info(f" end_time: {end_time_str}")
if not self.data_loader:
return jsonify({
@@ -1156,7 +1162,7 @@ class AnnotationDashboard:
)
if df is not None and not df.empty:
logger.info(f" {timeframe}: {len(df)} candles ({df.index[0]} to {df.index[-1]})")
webui_logger.info(f" {timeframe}: {len(df)} candles ({df.index[0]} to {df.index[-1]})")
# Get pivot points for this timeframe (only if we have enough context)
pivot_markers = {}
@@ -2386,6 +2392,10 @@ def main():
logger.info(f"Timestamp: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
logger.info("=" * 80)
# Print logging channel configuration
from utils.logging_config import print_channel_status
print_channel_status()
dashboard = AnnotationDashboard()
dashboard.run(debug=True)