[WIP]: feat adding AI logger #390
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…-Code-AI/kaizen into 387-feat-ai-powered-logger
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!review |
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!review |
🔍 Code Review Summary❗ Attention Required: This push has potential issues. 🚨 📊 Stats
🏆 Code Quality[██████████████████░░] 90% (Excellent) 🚨 Critical IssuesLogging Analysis Integration (2 issues)1. The new 'analyze-logs' endpoint has been added to the 'github_app/main.py' file, but the 'analyze_logs' function is not implemented.📁 File: Current Code: Suggested Code: def analyze_logs(log_data):
prompt = create_prompt(log_data)
ollama_server_url = os.getenv('OLLAMA_SERVER_URL')
model_response = analyze_logs(prompt, ollama_server_url)
if model_response:
parsed_response = parse_response(model_response, log_data)
return parsed_response
else:
return{'error': 'Failed to analyze logs'}2. Changes made to sensitive file📁 File: 🟠 Refinement Suggestions:These are not critical issues, but addressing them could further improve the code: Docker Compose Configuration (2 issues)1. The new 'ollama' service has been added to the Docker Compose configuration, but the environment variable 'OLLAMA_SERVER_URL' is not defined.📁 File: Current Code: Suggested Code: ollama:
image: ollama/ollama:latest
container_name: ollama
environment:
- OLLAMA_SERVER_URL=http://your-ollama-server.com/analyze
volumes:
- ollama:/root/.ollama
ports:
- 11434:11434
restart: unless-stopped2. The 'kaizen/logger/analyzer.py' file has been added, which contains the implementation of the 'analyze_logs' function. However, the 'OLLAMA_SERVER_URL' environment variable is hardcoded in the 'main' function.📁 File: Current Code: ollama_server_url = "http://your-ollama-server.com/analyze"Suggested Code: ollama_server_url = os.getenv('OLLAMA_SERVER_URL', 'http://your-ollama-server.com/analyze')🧪 Test CasesTest Cases need updates: Run !unittest to generateTests Not FoundThe following files are missing corresponding test files:
Tests Found But May Need UpdateThe following test files may need to be updated to reflect recent changes: Generate Unit TestsTo generate unit test cases for the code, please type
Useful Commands
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| @app.route("/analyze-logs", methods=["POST"]) | ||
| async def analyze_logs_endpoint(request: Request): | ||
| payload = await request.json() | ||
| log_data = payload.get("log_data") | ||
| if log_data: | ||
| analysis_result = analyze_logs(log_data) | ||
| return JSONResponse(content={"analysis": analysis_result}) | ||
| else: | ||
| return JSONResponse(content={"error": "Missing log data"}, status_code=400) |
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Comment: The new 'analyze-logs' endpoint has been added to the 'github_app/main.py' file, but the 'analyze_logs' function is not implemented.
Solution: Implement the 'analyze_logs' function in the 'kaizen/logger/analyzer.py' file. This function should take the log data from the request, create a prompt for the Ollama server, send the prompt to the Ollama server, and return the analysis results.
Reason For Comment: The 'analyze-logs' endpoint calls the 'analyze_logs' function, but this function is not defined in the provided code. This will cause the application to fail when the endpoint is accessed.
| @app.route("/analyze-logs", methods=["POST"]) | |
| async def analyze_logs_endpoint(request: Request): | |
| payload = await request.json() | |
| log_data = payload.get("log_data") | |
| if log_data: | |
| analysis_result = analyze_logs(log_data) | |
| return JSONResponse(content={"analysis": analysis_result}) | |
| else: | |
| return JSONResponse(content={"error": "Missing log data"}, status_code=400) | |
| def analyze_logs(log_data): | |
| prompt = create_prompt(log_data) | |
| ollama_server_url = os.getenv('OLLAMA_SERVER_URL') | |
| model_response = analyze_logs(prompt, ollama_server_url) | |
| if model_response: | |
| parsed_response = parse_response(model_response, log_data) | |
| return parsed_response | |
| else: | |
| return{'error': 'Failed to analyze logs'} |
| @@ -21,6 +21,15 @@ services: | |||
| - REDIS_PASSWORD=${REDIS_PASSWORD} | |||
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Comment: Changes made to sensitive file
Solution: NA
Reason For Comment: Changes were made to docker-compose.yml, which needs review
Enhance Logging and Error Handling with KaizenLog
Overview
This pull request introduces a new logging and error handling system called KaizenLog. The main purpose is to provide enhanced logging capabilities, including automatic log analysis and issue detection, to improve the overall observability and maintainability of the application.
Changes
Key Changes
KaizenLogHandlerthat extends the standard Python logging handler, enabling seamless integration with the existing logging infrastructure.New Features
Refactoring
kaizen/logger/analyzer.py) to improve code organization and maintainability.exception_handler) to centralize the error reporting mechanism.Implementation Details
The key components of the KaizenLog integration are:
KaizenLogHandler: This custom logging handler is responsible for sending log entries to the KaizenLog service. When a log record is emitted, the handler sends the log data to the KaizenLog service for analysis.exception_handler: This function is registered as the global exception hook usingsys.excepthook. When an unhandled exception occurs, the function captures the exception information and sends it to the KaizenLog service for analysis.analyze_logs: This function is responsible for sending the log data to the KaizenLog service and processing the response. It creates a prompt for the KaizenLog service, sends the request, and parses the response to extract the identified issues or errors.The integration with the KaizenLog service is configured using the
service_urlparameter, which should be set to the appropriate URL for the KaizenLog service.Original Description