Delete calculate_identity_confidence.py

calculate_identity_confidence.py

@@ -1,177 +0,0 @@
-import json
-from typing import Dict, Any
-from prompt_analyzer import create_handler
-from statistics import mean
-from collections import Counter
-
-
-def calculate_identity_confidence(
-    sources_data: Dict[str, Any],
-    code_style_results: Dict[str, Any],
-    project_preferences: Dict[str, Any],
-    temporal_patterns: Dict[str, Any]
-) -> Dict[str, Any]:
-    """Synthesizes all analysis results into a comprehensive developer identity profile"""
-
-    handler = create_handler()
-
-    # Create consolidated analysis data for the prompt
-    analysis_data = {
-        "repositories": sources_data,
-        "code_style_analysis": code_style_results,
-        "project_preferences": project_preferences,
-        "temporal_patterns": temporal_patterns
-    }
-    
-
-    prompt = f"""
-    
-    IDENTITY CONFIDENCE CALCULATION
-    
-    You are an expert in developer profiling and behavioral analysis. Synthesize all provided analysis data to create a comprehensive profile of the developer's identity, expertise, and behavioral patterns.
-
-    Analysis Data:
-    {json.dumps(analysis_data, indent=2)}
-
-    Based on all provided repository data and previous analyses, create a detailed developer profile focusing on:
-    1. Technical expertise and knowledge domains
-    2. Problem-solving patterns and approaches
-    3. Development philosophy and practices
-    4. Unique identifiers and consistent traits
-
-    Generate a single comprehensive identity profile JSON:
-    
-    {{
-        "developer_profile": {{
-            "expertise": {{
-                "primary_domains": [
-                    {{
-                        "domain": string,
-                        "proficiency_level": string,  // "beginner", "intermediate", "expert"
-                        "evidence": [string],
-                        "confidence": number  // 0-100
-                    }}
-                ],
-                "technical_depth": {{
-                    "languages": [
-                        {{
-                            "name": string,
-                            "mastery_level": string,
-                            "usage_patterns": [string],
-                            "notable_practices": [string]
-                        }}
-                    ],
-                    "frameworks": [
-                        {{
-                            "name": string,
-                            "usage_sophistication": string,
-                            "implementation_patterns": [string]
-                        }}
-                    ],
-                    "specialized_knowledge": [
-                        {{
-                            "area": string,  // e.g. "cryptography", "distributed systems"
-                            "depth": string,
-                            "application_examples": [string]
-                        }}
-                    ]
-                }}
-            }},
-            "work_patterns": {{
-                "development_style": {{
-                    "code_organization": string,
-                    "problem_solving_approach": string,
-                    "quality_focus": string,
-                    "distinctive_habits": [string]
-                }},
-                "workflow_characteristics": {{
-                    "development_cycle": string,
-                    "testing_approach": string,
-                    "refactoring_patterns": string,
-                    "documentation_style": string
-                }},
-                "communication_style": {{
-                    "code_commenting": string,
-                    "commit_messages": string,
-                    "documentation_quality": string
-                }}
-            }},
-            "behavioral_traits": {{
-                "strengths": [
-                    {{
-                        "trait": string,
-                        "evidence": [string],
-                        "consistency": number  // 0-100
-                    }}
-                ],
-                "areas_for_improvement": [
-                    {{
-                        "area": string,
-                        "indicators": [string]
-                    }}
-                ],
-                "unique_characteristics": [
-                    {{
-                        "trait": string,
-                        "significance": string,
-                        "supporting_patterns": [string]
-                    }}
-                ]
-            }},
-            "knowledge_breadth": {{
-                "technical_stack": {{
-                    "preferred_technologies": [string],
-                    "experience_indicators": [string],
-                    "adoption_patterns": string
-                }},
-                "domain_knowledge": {{
-                    "primary_domains": [string],
-                    "depth_indicators": [string],
-                    "application_examples": [string]
-                }},
-                "architectural_understanding": {{
-                    "preferred_patterns": [string],
-                    "complexity_handling": string,
-                    "scalability_awareness": string
-                }}
-            }},
-            "identity_confidence": {{
-                "overall_score": number,  // 0-100
-                "distinguishing_factors": [
-                    {{
-                        "factor": string,
-                        "significance": string,
-                        "supporting_evidence": [string]
-                    }}
-                ],
-                "consistency_metrics": {{
-                    "coding_style": number,  // 0-100
-                    "problem_solving": number,  // 0-100
-                    "quality_standards": number  // 0-100
-                }},
-                "pattern_reliability": {{
-                    "stable_patterns": [string],
-                    "variable_patterns": [string],
-                    "context_dependencies": [string]
-                }}
-            }}
-        }}
-    }}
-
-    Critical Analysis Requirements:
-    1. Base all conclusions on concrete evidence from the provided data
-    2. Focus on patterns that appear consistently across repositories
-    3. Highlight unique traits that distinguish this developer
-    4. Note any evolution in skills or practices
-    5. Indicate confidence levels for all major conclusions
-    6. Consider both technical and behavioral aspects
-    7. Identify any potential biases or limitations in the analysis
-    """
-    
-    try:
-        result = handler.generate_json_response(prompt)
-    except Exception as e:
-        print(f"Error analyzing: {str(e)}")
-    
-    return result
-