Ireneusz Bachanowicz
2763b40b60
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- Simplified the FastAPI application structure and improved error handling with middleware. - Introduced a retry decorator for asynchronous functions to enhance reliability. - Modularized the LLM initialization and prompt loading into separate functions for better maintainability. - Updated Pydantic models for Jira webhook payload and analysis flags to ensure proper validation and structure. - Implemented a structured logging configuration for better traceability and debugging. - Added comprehensive unit tests for prompt loading, response validation, and webhook handling. - Established a CI/CD pipeline with GitHub Actions for automated testing and coverage reporting. - Enhanced the prompt template for LLM analysis to include specific instructions for handling escalations.
46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
import sys
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from loguru import logger
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logger.configure(
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extra={"request_id": "N/A"}
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)
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import os
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from pathlib import Path
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from datetime import datetime
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from typing import Optional
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def configure_logging(log_level: str = "INFO", log_dir: Optional[str] = None):
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"""Configure structured logging for the application"""
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# Default log directory
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if not log_dir:
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log_dir = os.getenv("LOG_DIR", "logs")
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# Create log directory if it doesn't exist
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Path(log_dir).mkdir(parents=True, exist_ok=True)
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# Log file path with timestamp
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log_file = Path(log_dir) / f"jira-webhook-llm_{datetime.now().strftime('%Y%m%d_%H%M%S')}.log"
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# Remove default logger
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logger.remove()
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# Add console logger
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logger.add(
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sys.stdout,
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level=log_level,
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format="{time:YYYY-MM-DD HH:mm:ss.SSS} | {level} | {extra[request_id]} | {message}",
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colorize=True
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)
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# Add file logger
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logger.add(
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str(log_file),
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level=log_level,
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format="{time:YYYY-MM-DD HH:mm:ss.SSS} | {level} | {extra[request_id]} | {message}",
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rotation="100 MB",
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retention="30 days",
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compression="zip"
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)
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logger.info("Logging configured successfully") |