Code Quality Improvement
Issue
Currently using print statements for error handling and debugging. Should use Python's logging module for professional error handling.
Current Problems
- No log levels (INFO, WARNING, ERROR)
- No ability to disable/filter logs
- No timestamps in logs
- Hard to debug issues in production
Proposed Implementation
import logging
# Configure at module level
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)
class ClaudeConversationExtractor:
def __init__(self, output_dir: Optional[Path] = None, verbose: bool = False):
self.logger = logger
self.verbose = verbose
# ... rest of init ...
def extract_conversation(self, jsonl_path: Path) -> List[Dict[str, str]]:
try:
# ... processing ...
except json.JSONDecodeError as e:
self.logger.warning(f"Invalid JSON in {jsonl_path}: {e}")
except IOError as e:
self.logger.error(f"Cannot read {jsonl_path}: {e}")
raise # Re-raise for caller to handle
Files to Update
extract_claude_logs.py
search_conversations.py
realtime_search.py
interactive_ui.py
Benefits
- Professional error handling
- Configurable log levels
- Better debugging capabilities
- Log file support for troubleshooting
- Cleaner console output
Priority
LOW - Code quality improvement
Code Quality Improvement
Issue
Currently using print statements for error handling and debugging. Should use Python's logging module for professional error handling.
Current Problems
Proposed Implementation
Files to Update
extract_claude_logs.pysearch_conversations.pyrealtime_search.pyinteractive_ui.pyBenefits
Priority
LOW - Code quality improvement