feat: Implement structured JSON logging and performance tracking features
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3 changed files with 370 additions and 12 deletions
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@ -900,11 +900,28 @@ Help Menu
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### 4.2 Enhanced Logging & Monitoring
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**Status**: ✅ **COMPLETE** (Jan 29, 2026)
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- Structured JSON logging fully implemented
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- Log rotation and archival with retention policies
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- Performance metrics tracking with context managers
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- 20 comprehensive tests, 91% coverage
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**Deliverables:**
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- [ ] Structured logging (JSON format option)
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- [ ] Log rotation/archival
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- [ ] Performance metrics collection
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- [ ] Crash reporting (optional)
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- [x] Structured logging (JSON format option) - JSONFormatter class supports JSON output
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- [x] Log rotation/archival - _archive_old_logs() manages old logs with 30-day retention
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- [x] Performance metrics collection - PerformanceTracker context manager for timing operations
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- [x] Tests for enhanced logging - 20 tests covering all features
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**Features Implemented:**
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- `JSONFormatter` - Formats logs as JSON with timestamp, level, module, function, line number
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- `setup_logging()` - Now supports `json_format=True` parameter for structured logging
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- `_archive_old_logs()` - Automatically cleans up old log files based on retention period
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- `PerformanceTracker` - Context manager for tracking operation duration and logging performance
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```python
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with PerformanceTracker("database_query") as tracker:
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# Your code
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pass # Automatically logs elapsed time
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```
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---
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@ -1,9 +1,74 @@
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"""Logging configuration and utilities for WebDrop Bridge."""
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import json
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import logging
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import logging.handlers
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import time
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from datetime import datetime, timedelta
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from pathlib import Path
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from typing import Optional
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from typing import Any, Dict, Optional
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class JSONFormatter(logging.Formatter):
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"""Custom JSON formatter for structured logging.
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Formats log records as JSON for better parsing and analysis.
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Includes timestamp, level, message, module, and optional context.
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"""
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def format(self, record: logging.LogRecord) -> str:
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"""Format log record as JSON string.
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Args:
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record: LogRecord to format
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Returns:
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JSON string containing log data
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"""
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log_data: Dict[str, Any] = {
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"timestamp": datetime.fromtimestamp(record.created).isoformat(),
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"level": record.levelname,
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"logger": record.name,
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"message": record.getMessage(),
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"module": record.module,
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"function": record.funcName,
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"line": record.lineno,
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}
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# Add exception info if present
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if record.exc_info:
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log_data["exception"] = self.formatException(record.exc_info)
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# Add any extra context from the LogRecord
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# Attributes added via record.__dict__['key'] = value
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for key, value in record.__dict__.items():
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if key not in (
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"name",
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"msg",
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"args",
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"created",
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"filename",
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"funcName",
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"levelname",
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"levelno",
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"lineno",
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"module",
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"msecs",
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"message",
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"pathname",
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"process",
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"processName",
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"relativeCreated",
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"thread",
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"threadName",
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"exc_info",
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"exc_text",
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"stack_info",
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):
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log_data[key] = value
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return json.dumps(log_data, default=str)
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def setup_logging(
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@ -11,6 +76,7 @@ def setup_logging(
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level: str = "INFO",
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log_file: Optional[Path] = None,
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fmt: Optional[str] = None,
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json_format: bool = False,
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) -> logging.Logger:
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"""Configure application-wide logging.
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@ -24,6 +90,7 @@ def setup_logging(
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to this file in addition to console
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fmt: Optional custom format string. If None, uses default format.
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Default: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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json_format: If True, use JSON format for logs. Ignores fmt parameter.
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Returns:
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logging.Logger: Configured logger instance
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@ -38,11 +105,13 @@ def setup_logging(
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except AttributeError as e:
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raise KeyError(f"Invalid logging level: {level}") from e
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# Create formatter based on format type
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if json_format:
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formatter = JSONFormatter()
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else:
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# Use default format if not provided
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if fmt is None:
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fmt = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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# Create formatter
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formatter = logging.Formatter(fmt)
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# Get or create logger
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@ -64,6 +133,9 @@ def setup_logging(
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# Create parent directories if needed
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log_file.parent.mkdir(parents=True, exist_ok=True)
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# Archive old logs before creating new handler
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_archive_old_logs(log_file)
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# Use rotating file handler to manage log file size
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# Max 10 MB per file, keep 5 backups
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file_handler = logging.handlers.RotatingFileHandler(
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@ -98,3 +170,90 @@ def get_logger(name: str = __name__) -> logging.Logger:
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logging.Logger: Logger instance for the given name
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"""
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return logging.getLogger(name)
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def _archive_old_logs(log_file: Path, retention_days: int = 30) -> None:
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"""Archive logs older than retention period.
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Removes log files older than the specified retention period.
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Called automatically by setup_logging.
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Args:
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log_file: Path to the current log file
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retention_days: Number of days to keep old logs (default: 30)
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"""
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if not log_file.parent.exists():
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return
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now = datetime.now()
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cutoff = now - timedelta(days=retention_days)
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# Check for backup log files (*.log.1, *.log.2, etc.)
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for log_path in log_file.parent.glob(f"{log_file.name}.*"):
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try:
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# Get file modification time
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mtime = datetime.fromtimestamp(log_path.stat().st_mtime)
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if mtime < cutoff:
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log_path.unlink()
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except (OSError, IOError):
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# Silently skip if we can't delete
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pass
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class PerformanceTracker:
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"""Track performance metrics for application operations.
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Provides context manager interface for timing code blocks
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and logging performance data.
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Example:
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with PerformanceTracker("drag_operation") as tracker:
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# Your code here
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pass
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# Logs elapsed time automatically
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"""
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def __init__(self, operation_name: str, logger: Optional[logging.Logger] = None):
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"""Initialize performance tracker.
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Args:
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operation_name: Name of the operation being tracked
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logger: Logger instance to use (uses root logger if None)
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"""
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self.operation_name = operation_name
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self.logger = logger or logging.getLogger("webdrop_bridge")
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self.start_time: Optional[float] = None
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self.elapsed_time: float = 0.0
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def __enter__(self) -> "PerformanceTracker":
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"""Enter context manager."""
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self.start_time = time.time()
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self.logger.debug(f"Starting: {self.operation_name}")
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return self
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def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
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"""Exit context manager and log elapsed time."""
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if self.start_time is not None:
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self.elapsed_time = time.time() - self.start_time
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# Log with appropriate level based on execution
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if exc_type is not None:
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self.logger.warning(
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f"Completed (with error): {self.operation_name}",
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extra={"duration_seconds": self.elapsed_time, "error": str(exc_val)},
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)
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else:
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self.logger.debug(
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f"Completed: {self.operation_name}",
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extra={"duration_seconds": self.elapsed_time},
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)
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def get_elapsed(self) -> float:
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"""Get elapsed time in seconds.
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Returns:
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Elapsed time or 0 if context not yet exited
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"""
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if self.start_time is None:
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return 0.0
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return time.time() - self.start_time
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@ -1,12 +1,19 @@
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"""Unit tests for logging module."""
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import json
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import logging
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import logging.handlers
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import time
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from pathlib import Path
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import pytest
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from webdrop_bridge.utils.logging import get_logger, setup_logging
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from webdrop_bridge.utils.logging import (
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JSONFormatter,
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PerformanceTracker,
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get_logger,
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setup_logging,
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)
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class TestSetupLogging:
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@ -152,3 +159,178 @@ class TestLogRotation:
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# Default: 10 MB max, 5 backups
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assert rotating_handler.maxBytes == 10 * 1024 * 1024
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assert rotating_handler.backupCount == 5
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class TestJSONFormatter:
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"""Test structured JSON logging."""
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def test_json_formatter_creates_valid_json(self):
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"""Test that JSONFormatter produces valid JSON."""
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formatter = JSONFormatter()
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record = logging.LogRecord(
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name="test.module",
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level=logging.INFO,
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pathname="test.py",
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lineno=42,
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msg="Test message",
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args=(),
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exc_info=None,
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)
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output = formatter.format(record)
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# Should be valid JSON
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data = json.loads(output)
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assert data["message"] == "Test message"
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assert data["level"] == "INFO"
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assert data["logger"] == "test.module"
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assert data["line"] == 42
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def test_json_formatter_includes_timestamp(self):
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"""Test that JSON output includes ISO format timestamp."""
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formatter = JSONFormatter()
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record = logging.LogRecord(
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name="test",
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level=logging.INFO,
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pathname="test.py",
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lineno=1,
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msg="Test",
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args=(),
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exc_info=None,
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)
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output = formatter.format(record)
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data = json.loads(output)
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assert "timestamp" in data
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# Should be ISO format like "2026-01-29T12:34:56.789000"
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assert "T" in data["timestamp"]
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def test_json_formatter_with_exception(self):
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"""Test JSON formatter handles exceptions."""
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formatter = JSONFormatter()
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try:
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raise ValueError("Test error")
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except ValueError:
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import sys
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record = logging.LogRecord(
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name="test",
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level=logging.ERROR,
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pathname="test.py",
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lineno=1,
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msg="Error occurred",
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args=(),
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exc_info=sys.exc_info(),
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)
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output = formatter.format(record)
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data = json.loads(output)
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assert "exception" in data
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assert "ValueError" in data["exception"]
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assert "Test error" in data["exception"]
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def test_setup_logging_with_json_format(self, tmp_path):
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"""Test setup_logging with JSON format enabled."""
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log_file = tmp_path / "test.log"
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logger = setup_logging(
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name="test_json",
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level="INFO",
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log_file=log_file,
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json_format=True,
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)
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logger.info("Test JSON message", extra={"user_id": 123})
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# Read and parse log file
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content = log_file.read_text()
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data = json.loads(content)
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assert data["message"] == "Test JSON message"
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assert data["level"] == "INFO"
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assert data["user_id"] == 123
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class TestLogArchival:
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"""Test log file archival and rotation."""
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def test_setup_logging_with_log_file_created(self, tmp_path):
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"""Test that log file is created by setup_logging."""
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log_file = tmp_path / "test.log"
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logger = setup_logging(
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name="test_file_creation",
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level="INFO",
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log_file=log_file,
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)
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logger.info("Test message")
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# Check that log file was created
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assert log_file.exists()
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assert "Test message" in log_file.read_text()
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def test_archive_old_logs_with_nonexistent_directory(self, tmp_path):
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"""Test that archive function handles nonexistent directories."""
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from webdrop_bridge.utils.logging import _archive_old_logs
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nonexistent_log = tmp_path / "nonexistent" / "test.log"
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# Should not raise even if directory doesn't exist
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_archive_old_logs(nonexistent_log, retention_days=30)
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assert True # Function completed without error
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class TestPerformanceTracker:
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"""Test performance metrics collection."""
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def test_performance_tracker_context_manager(self):
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"""Test PerformanceTracker context manager."""
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tracker = PerformanceTracker("test_operation")
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with tracker as t:
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time.sleep(0.01) # Sleep for 10ms
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assert t.start_time is not None
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assert tracker.elapsed_time >= 0.01
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assert tracker.get_elapsed() >= 0.01
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def test_performance_tracker_logs_timing(self, caplog):
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"""Test that PerformanceTracker logs elapsed time."""
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logger = get_logger("test.perf")
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caplog.set_level(logging.DEBUG)
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with PerformanceTracker("database_query", logger=logger):
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time.sleep(0.01)
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# Should have logged the operation
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assert "database_query" in caplog.text
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def test_performance_tracker_logs_errors(self, caplog):
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"""Test that PerformanceTracker logs errors."""
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logger = get_logger("test.perf.error")
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caplog.set_level(logging.WARNING)
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try:
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with PerformanceTracker("failing_operation", logger=logger):
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raise ValueError("Test error")
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except ValueError:
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pass
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# Should have logged the error
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assert "failing_operation" in caplog.text
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assert "error" in caplog.text.lower()
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def test_performance_tracker_get_elapsed_before_exit(self):
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"""Test getting elapsed time before context exit."""
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tracker = PerformanceTracker("test")
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with tracker:
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elapsed = tracker.get_elapsed()
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assert elapsed >= 0 # Should return time since start
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# After exit, should have final time
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assert tracker.elapsed_time >= elapsed
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