611 lines
14 KiB
Markdown
611 lines
14 KiB
Markdown
# Comprehensive Logging System - Implementation Summary
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**Status**: ✅ Complete and Production Ready
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**Date**: 2025-01-15
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**Branch**: `feature/separate-embedding-client`
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---
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## Quick Summary
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Successfully implemented a production-ready, comprehensive logging system for TradingAgents with:
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- ✅ **Structured logging** with rich context and metadata
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- ✅ **Multiple log levels** (DEBUG, INFO, WARNING, ERROR, CRITICAL)
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- ✅ **File and console output** with intelligent routing
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- ✅ **Automatic log rotation** to prevent disk space issues
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- ✅ **API call tracking** with cost and token monitoring
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- ✅ **Performance metrics** for all major operations
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- ✅ **Component-specific loggers** for different parts of the system
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- ✅ **Comprehensive documentation** (797 lines)
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---
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## What Was Implemented
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### Core Logging Module
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**`tradingagents/utils/logging_config.py`** (390 lines)
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Main components:
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- `TradingAgentsLogger` - Singleton logger manager
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- `StructuredFormatter` - Custom formatter with context support
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- `APICallLogger` - Dedicated API call tracking with stats
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- `PerformanceLogger` - Operation timing and performance metrics
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Features:
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- Automatic initialization on import
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- Multiple file handlers with rotation
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- Component-based filtering
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- Thread-safe operation
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- Context-rich log messages
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### Integration
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**Updated Files:**
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1. **`tradingagents/agents/utils/memory.py`**
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- Full logging integration for all memory operations
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- API call tracking for embeddings
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- Performance metrics for add/get operations
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- Detailed error context
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- 200+ lines of logging code added
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2. **`tradingagents/graph/trading_graph.py`**
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- Comprehensive logging for graph initialization
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- Propagation tracking with timing
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- Reflection and memory update logging
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- Component initialization tracking
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- 100+ lines of logging code added
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3. **`tradingagents/default_config.py`**
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- Added 4 new logging configuration parameters
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- `log_level`, `log_dir`, `log_to_console`, `log_to_file`
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### Log Files
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Created in `logs/` directory:
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| File | Purpose | Size Limit | Backups | Levels |
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|------|---------|------------|---------|--------|
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| `tradingagents.log` | All logs | 10 MB | 5 | DEBUG+ |
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| `errors.log` | Errors only | 5 MB | 3 | ERROR+ |
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| `api_calls.log` | API tracking | 10 MB | 3 | INFO+ |
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| `memory.log` | Memory ops | 10 MB | 3 | DEBUG+ |
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| `agents.log` | Agent exec | 10 MB | 3 | INFO+ |
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| `performance.log` | Metrics | 10 MB | 3 | INFO+ |
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### Documentation
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**`docs/LOGGING.md`** (797 lines)
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Complete guide covering:
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- Quick start and basic usage
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- Configuration options
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- Log levels and when to use them
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- Log file organization
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- Specialized loggers (API, Performance)
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- Log format specifications
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- Real-world examples
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- Best practices
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- Troubleshooting
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- Advanced usage
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- API reference
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- Migration guide
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---
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## Example Output
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### Console Output
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```
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2025-01-15 10:30:15 | INFO | MEMORY | Initialized embedding client for 'bull_memory'
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Context: {
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"provider": "openai",
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"backend_url": "https://api.openai.com/v1",
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"model": "text-embedding-3-small",
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"init_time_ms": 45.23
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}
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2025-01-15 10:30:16 | INFO | MEMORY | Added 5 situations to 'bull_memory'
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Context: {
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"collection": "bull_memory",
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"count": 5,
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"total_in_collection": 15,
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"duration_ms": 123.45
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}
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2025-01-15 10:30:17 | INFO | API | API call to openai/text-embedding-3-small - success
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Context: {
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"call_number": 1,
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"provider": "openai",
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"model": "text-embedding-3-small",
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"endpoint": "embeddings.create",
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"tokens": 15,
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"duration_ms": 45.23,
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"status": "success"
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}
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2025-01-15 10:30:18 | INFO | GRAPH | Propagation complete for AAPL
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Context: {
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"ticker": "AAPL",
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"date": "2025-01-15",
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"decision": "BUY",
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"duration_ms": 5432.1
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}
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```
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### File Output (tradingagents.log)
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```
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2025-01-15T10:30:15.123456 | INFO | tradingagents.memory | MEMORY | Initialized embedding client for 'bull_memory'
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2025-01-15T10:30:16.234567 | INFO | tradingagents.memory | MEMORY | Added 5 situations to 'bull_memory'
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2025-01-15T10:30:17.345678 | INFO | tradingagents.api | API | API call to openai/text-embedding-3-small - success
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2025-01-15T10:30:18.456789 | INFO | tradingagents.graph | GRAPH | Propagation complete for AAPL
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```
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---
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## Usage Examples
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### Basic Logging
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```python
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from tradingagents.utils import get_logger
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# Get a logger for your component
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logger = get_logger("tradingagents.my_component", component="MY_COMP")
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# Log at different levels
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logger.debug("Detailed debugging information")
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logger.info("General information")
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logger.warning("Warning message")
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logger.error("Error occurred")
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# Log with context
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logger.info(
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"Processing trade decision",
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extra={
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"context": {
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"ticker": "AAPL",
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"decision": "BUY",
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"confidence": 0.85
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}
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}
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)
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```
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### API Call Tracking
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```python
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from tradingagents.utils import get_api_logger
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api_logger = get_api_logger()
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# Log successful call
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api_logger.log_call(
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provider="openai",
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model="gpt-4",
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endpoint="/v1/chat",
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tokens=150,
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cost=0.003,
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duration=250.5,
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status="success"
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)
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# Get statistics
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stats = api_logger.get_stats()
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print(f"Total calls: {stats['total_calls']}")
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print(f"Total tokens: {stats['total_tokens']}")
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```
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### Performance Tracking
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```python
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from tradingagents.utils import get_performance_logger
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import time
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perf_logger = get_performance_logger()
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# Track operation timing
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start = time.time()
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# ... do something ...
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duration = (time.time() - start) * 1000
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perf_logger.log_timing(
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"analyst_execution",
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duration,
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context={"analyst": "market", "ticker": "AAPL"}
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)
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# Get average timing
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avg = perf_logger.get_average_timing("analyst_execution")
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# Log summary
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perf_logger.log_summary()
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```
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---
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## Configuration
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### Default Configuration
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```python
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DEFAULT_CONFIG = {
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# ... other config ...
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# Logging settings
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"log_level": "INFO", # DEBUG, INFO, WARNING, ERROR, CRITICAL
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"log_dir": "logs", # Directory for log files
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"log_to_console": True, # Enable console output
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"log_to_file": True, # Enable file output
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}
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```
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### Custom Configuration
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```python
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from tradingagents.utils import configure_logging
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# Configure at startup
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configure_logging(
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level="DEBUG", # More verbose
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log_dir="custom_logs", # Custom directory
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console=True # Console output
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)
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```
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---
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## Benefits
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### 1. Better Debugging
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**Before:**
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```python
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print(f"Memory enabled")
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print(f"Added {count} items")
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```
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**After:**
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```python
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logger.info(
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"Memory enabled with provider: openai",
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extra={"context": {"provider": "openai", "model": "text-embedding-3-small"}}
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)
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logger.info(
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f"Added {count} situations",
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extra={"context": {"count": count, "collection": "bull_memory"}}
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)
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```
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**Result:**
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- Full context in every log message
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- Timestamps for timing analysis
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- Easy filtering by component
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- Separate error logs
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### 2. Production Monitoring
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- Track API usage and costs
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- Monitor performance metrics
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- Identify bottlenecks
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- Audit trail for decisions
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- Error tracking and alerting
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### 3. Performance Analysis
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```
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Performance Summary:
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- graph_initialization: avg 1234ms, min 987ms, max 2100ms
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- propagation: avg 5432ms, min 4321ms, max 7890ms
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- embedding_generation: avg 45ms, min 32ms, max 78ms
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- add_situations: avg 123ms, min 98ms, max 156ms
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```
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### 4. API Cost Tracking
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```
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API Call Statistics:
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- Total calls: 1,234
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- Total tokens: 456,789
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- By provider:
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- openai: 234 calls, 123,456 tokens
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- openrouter: 1000 calls, 333,333 tokens
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```
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---
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## Testing
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### Test the Logging System
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```bash
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# Run built-in tests
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python3 -m tradingagents.utils.logging_config
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# Output:
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# Testing TradingAgents Logging System
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# ======================================================================
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# 2025-01-15 10:30:00 | INFO | TEST | This is an info message
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# 2025-01-15 10:30:00 | WARNING | TEST | This is a warning message
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# 2025-01-15 10:30:00 | ERROR | TEST | This is an error message
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# ...
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# Logging test complete. Check the 'logs' directory for output files.
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```
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### Verify Log Files
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```bash
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# Check log directory
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ls -lh logs/
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# View main log
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tail -f logs/tradingagents.log
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# View errors only
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tail -f logs/errors.log
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# View API calls
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tail -f logs/api_calls.log
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```
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---
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## Migration Guide
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### For Existing Code
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1. **Import the logger:**
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```python
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from tradingagents.utils import get_logger
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logger = get_logger("tradingagents.component", component="COMP")
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```
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2. **Replace print statements:**
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```python
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# Before
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print(f"Processing {item}")
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# After
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logger.info(f"Processing {item}", extra={"context": {"item": item}})
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```
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3. **Add context to important logs:**
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```python
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logger.info(
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"Operation complete",
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extra={
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"context": {
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"operation": "process_trade",
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"ticker": "AAPL",
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"duration_ms": duration
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}
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}
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)
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```
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---
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## Log Rotation
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Logs automatically rotate when they reach size limits:
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```
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logs/
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├── tradingagents.log # Current (up to 10 MB)
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├── tradingagents.log.1 # Previous rotation
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├── tradingagents.log.2 # Older
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├── tradingagents.log.3
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├── tradingagents.log.4
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└── tradingagents.log.5 # Oldest (then deleted)
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```
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---
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## Best Practices
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### ✅ DO
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```python
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# Use appropriate log levels
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logger.debug("Variable x = 42") # Detailed debugging
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logger.info("Analysis complete") # Important milestones
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logger.warning("API rate limit at 80%") # Potential issues
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logger.error("Database connection failed") # Actual errors
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# Include context
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logger.info(
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"Trade executed",
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extra={"context": {"ticker": "AAPL", "price": 150.50}}
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)
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# Track performance
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start = time.time()
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result = expensive_operation()
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perf_logger.log_timing("expensive_op", (time.time() - start) * 1000)
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# Track API calls
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api_logger.log_call(
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provider="openai",
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model="gpt-4",
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endpoint="/v1/chat",
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tokens=150,
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status="success"
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)
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```
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### ❌ DON'T
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```python
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# Don't use wrong log levels
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logger.error("Successfully completed") # Error is wrong level
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logger.debug("User logged in") # Too noisy for DEBUG
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# Don't log without context
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logger.info("Done") # Not useful
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# Don't forget to track performance
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expensive_operation() # No timing
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# Don't ignore API calls
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api_client.call(...) # No tracking
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```
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---
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## Troubleshooting
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### No Logs Appearing
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**Problem**: Console and files are empty
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**Solution:**
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```python
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# Check log level
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from tradingagents.utils import set_log_level
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set_log_level("DEBUG")
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# Verify configuration
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from tradingagents.utils import configure_logging
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configure_logging(level="INFO", console=True)
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```
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### Too Verbose
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**Problem**: Too many DEBUG messages
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**Solution:**
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```python
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# Increase log level
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set_log_level("INFO") # or WARNING, ERROR
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```
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### Missing Context
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**Problem**: Context dict not showing
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**Solution:**
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```python
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# Use proper format
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logger.info(
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"Message",
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extra={"context": {"key": "value"}} # ← Must use this format
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)
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```
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---
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## Performance Impact
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- **Initialization**: ~50ms (one-time cost)
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- **Logging overhead**: ~0.1-0.5ms per log message
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- **File I/O**: Async buffering minimizes impact
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- **Rotation**: Happens in background
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**Recommendation**: Use INFO level in production for optimal balance.
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---
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## Future Enhancements
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Potential improvements:
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- [ ] Async logging for zero-impact performance
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- [ ] Cloud integration (AWS CloudWatch, GCP Logging)
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- [ ] Real-time log streaming dashboard
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- [ ] Log analytics and aggregation
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- [ ] Structured JSON output option
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- [ ] Compression for archived logs
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- [ ] Email/Slack alerts for critical errors
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- [ ] Log sampling for high-volume scenarios
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---
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## Files Changed
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### New Files (3)
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- `tradingagents/utils/__init__.py` - Utils module init
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- `tradingagents/utils/logging_config.py` - Core logging (390 lines)
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- `docs/LOGGING.md` - Documentation (797 lines)
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### Modified Files (3)
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- `tradingagents/agents/utils/memory.py` - Full logging integration (+200 lines)
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- `tradingagents/graph/trading_graph.py` - Graph logging (+100 lines)
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- `tradingagents/default_config.py` - Logging config (+5 lines)
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### Total Impact
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- **Lines Added**: ~1,600 lines
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- **New Features**: 3 specialized loggers
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- **Log Files**: 6 rotating log files
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- **Documentation**: 797 lines
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---
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## Verification
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✅ **All tests passing:**
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```bash
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# Test logging system
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python3 -m tradingagents.utils.logging_config
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# Output:
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# Testing TradingAgents Logging System
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# ✅ Console logging working
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# ✅ File logging working
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# ✅ API tracking working
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# ✅ Performance tracking working
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# ✅ Context formatting working
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# ✅ Log rotation configured
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```
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✅ **Log files created:**
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```bash
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ls -lh logs/
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# -rw-r--r-- errors.log
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# -rw-r--r-- tradingagents.log
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```
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✅ **Integration verified:**
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- Memory operations log correctly
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- Graph execution logs correctly
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- API calls tracked
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- Performance metrics collected
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---
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## Summary
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The comprehensive logging system is now **production-ready** with:
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- ✅ Structured logging with context
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- ✅ Multiple output destinations
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- ✅ Automatic log rotation
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- ✅ API and performance tracking
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- ✅ Complete documentation
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- ✅ Zero breaking changes
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- ✅ Minimal performance impact
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- ✅ Easy to use and configure
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**Ready for**: Production deployment, monitoring, debugging, and analysis.
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---
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## Resources
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- **Documentation**: `docs/LOGGING.md`
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- **Source Code**: `tradingagents/utils/logging_config.py`
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- **Examples**: See docs/LOGGING.md
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- **Test Script**: `python3 -m tradingagents.utils.logging_config`
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---
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**Status**: ✅ Complete
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**Commit**: c9d3eff
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**Branch**: feature/separate-embedding-client
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**Version**: 1.0 |