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alpinebits_python/LOGGING.md
Jonas Linter a325a443f7 Better logger
2025-10-09 14:29:44 +02:00

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