Better logger
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LOGGING.md
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118
LOGGING.md
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# Logging Configuration
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The AlpineBits Python server uses a centralized logging system that can be configured via the `config.yaml` file.
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## Configuration
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Add the following section to your `config/config.yaml`:
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```yaml
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logger:
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level: "INFO" # Options: DEBUG, INFO, WARNING, ERROR, CRITICAL
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file: "logs/alpinebits.log" # Optional: path to log file (omit or set to null for console-only)
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```
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### Log Levels
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- **DEBUG**: Detailed diagnostic information (very verbose)
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- **INFO**: General informational messages about application progress
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- **WARNING**: Warning messages about potential issues
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- **ERROR**: Error messages when something goes wrong
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- **CRITICAL**: Critical errors that may cause application failure
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### Log Output
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- **Console**: Logs are always written to console (stdout)
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- **File**: Optionally write logs to a file by specifying the `file` parameter
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- File logs include the same timestamp and formatting as console logs
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- Log directory will be created automatically if it doesn't exist
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## Usage in Code
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To use logging in any module:
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```python
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from alpine_bits_python.logging_config import get_logger
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_LOGGER = get_logger(__name__)
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# Then use the logger
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_LOGGER.info("Application started")
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_LOGGER.debug("Detailed debug information: %s", some_variable)
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_LOGGER.warning("Something unusual happened")
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_LOGGER.error("An error occurred: %s", error_message)
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_LOGGER.exception("Critical error with stack trace")
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```
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## Log Format
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All log entries include:
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- Timestamp (YYYY-MM-DD HH:MM:SS)
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- Module name (logger name)
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- Log level
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- Message
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Example:
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```
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2025-10-09 14:23:45 - alpine_bits_python.api - INFO - Application startup initiated
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2025-10-09 14:23:45 - alpine_bits_python.api - INFO - Logging configured at INFO level
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2025-10-09 14:23:46 - alpine_bits_python.api - INFO - Database tables checked/created at startup.
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```
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## Best Practices
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1. **Use structured logging**: Pass variables as arguments, not f-strings
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```python
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# Good
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_LOGGER.info("Processing reservation %s for hotel %s", reservation_id, hotel_code)
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# Avoid (performance overhead, linting warnings)
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_LOGGER.info(f"Processing reservation {reservation_id} for hotel {hotel_code}")
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```
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2. **Use appropriate log levels**:
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- `DEBUG`: Detailed tracing for development
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- `INFO`: Normal application flow events
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- `WARNING`: Unexpected but handled situations
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- `ERROR`: Errors that need attention
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- `CRITICAL`: Severe errors requiring immediate action
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3. **Use `exception()` for error handling**:
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```python
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try:
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risky_operation()
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except Exception:
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_LOGGER.exception("Operation failed") # Automatically includes stack trace
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```
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4. **Don't log sensitive data**: Avoid logging passwords, tokens, or personal data
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## Examples
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### Console-only logging (development)
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```yaml
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logger:
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level: "DEBUG"
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```
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### File logging (production)
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```yaml
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logger:
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level: "INFO"
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file: "/var/log/alpinebits/app.log"
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```
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### Minimal logging
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```yaml
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logger:
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level: "WARNING"
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file: "logs/warnings.log"
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```
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