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Flask route handler that debugs and retries a failed analysis step by delegating to the analysis service and returning the debug result as JSON.

Purpose

This endpoint provides a debugging mechanism for failed analysis steps in a data analysis workflow. It accepts a session ID and step ID to identify the specific failed analysis, attempts to debug and retry it through the analysis service, and returns the result. It's designed to help troubleshoot and recover from analysis failures in a web application context.

Source Code

def debug_analysis(session_id, step_id):
    """Debug failed analysis step"""
    try:
        debug_result = analysis_service.debug_and_retry_analysis(session_id, step_id)
        return jsonify(debug_result)
        
    except Exception as e:
        logger.error(f"Error debugging analysis: {str(e)}")
        return jsonify({
            'success': False,
            'error': str(e)
        }), 500

Parameters

Parameter Details

session_id: String identifier for the analysis session. Used to locate the specific analysis session that contains the failed step. Expected to be a valid session identifier that exists in the system.

step_id: String identifier for the specific analysis step that failed. Used to pinpoint which step within the session needs debugging and retry. Expected to be a valid step identifier within the given session.

Return Value

Returns a Flask JSON response. On success, returns the debug_result dictionary from the analysis service with HTTP 200. On failure, returns a JSON object with 'success': False and 'error' message with HTTP 500 status code. The debug_result structure depends on the analysis_service implementation but typically includes debugging information and retry status.

Dependencies

• flask
• logging
• json

Required Imports

from flask import jsonify
import logging

Usage Example

# Assuming Flask app is set up with this route
# Client-side usage (e.g., JavaScript fetch or curl):

import requests

session_id = 'abc123-session'
step_id = 'step-5-correlation'

response = requests.post(
    f'http://localhost:5000/debug/{session_id}/{step_id}'
)

if response.status_code == 200:
    debug_result = response.json()
    print(f"Debug successful: {debug_result}")
else:
    error_info = response.json()
    print(f"Debug failed: {error_info['error']}")

# Server-side setup required:
# from flask import Flask, jsonify
# import logging
# from services import StatisticalAnalysisService
# 
# app = Flask(__name__)
# logger = logging.getLogger(__name__)
# analysis_service = StatisticalAnalysisService()
# 
# @app.route('/debug/<session_id>/<step_id>', methods=['POST'])
# def debug_analysis(session_id, step_id):
#     # ... function code here

Best Practices

• This function should only be called via POST requests to maintain RESTful conventions for state-changing operations
• Ensure the analysis_service is properly initialized before the Flask app starts accepting requests
• Consider adding authentication/authorization checks before allowing debug operations
• The session_id and step_id should be validated to prevent injection attacks or unauthorized access
• Consider adding rate limiting to prevent abuse of the debug endpoint
• Log the debug attempts for audit purposes beyond just errors
• The error response could be enhanced to distinguish between different error types (not found, permission denied, internal error)
• Consider adding request timeout handling for long-running debug operations
• Ensure the analysis_service.debug_and_retry_analysis method handles its own exceptions appropriately

Tags

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