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[P1] Conversation Flow Analyzer - AutoBot Specific #227

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Description

@mrveiss

Description

Analyze conversation flow patterns specific to AutoBot's chat system.

Parent Epic: #217 - Advanced Code Intelligence

Technical Requirements

  • Flow extraction
  • Pattern classification
  • Performance analysis
  • Optimization detection

Tasks

  • Extract conversation flows
  • Classify user intents
  • Analyze response patterns
  • Find error recovery patterns
  • Identify bottlenecks
  • Suggest optimizations

Acceptance Criteria

  • Maps all conversation flows
  • Classifies intents accurately
  • Identifies common patterns
  • Finds optimization opportunities
  • Generates flow diagrams

Analysis Areas

  • Common conversation paths
  • Error recovery strategies
  • Context management
  • Response generation patterns
  • Cache opportunities

Priority

P1 - High

Size

Medium (3-5 days)

Activity

  1. mrveiss commented on Nov 29, 2025

    @mrveiss
    OwnerAuthor

    Implementation complete:

    Backend API (backend/api/analytics_conversation.py):

    • Intent detection engine with 20 predefined patterns
    • Intent categories: code operations, file operations, system operations, knowledge, terminal, git, general
    • Conversation flow path analysis
    • Bottleneck identification with impact scoring
    • Success/frustration indicator detection
    • Hourly distribution tracking
    • Endpoints:
      • GET /conversation-flow/analyze - Full analysis
      • GET /conversation-flow/intents - Intent stats
      • GET /conversation-flow/flows - Flow paths
      • GET /conversation-flow/bottlenecks - Bottleneck detection
      • GET /conversation-flow/distribution - Activity distribution
      • POST /conversation-flow/detect-intent - Single message intent detection

    Vue Dashboard (autobot-vue/src/components/analytics/ConversationFlowDashboard.vue):

    • Metrics cards (conversations, messages, satisfaction, resolution)
    • User intent patterns with success rate visualization
    • Common flow paths display
    • Bottleneck list with impact scores and suggestions
    • Activity distribution chart
    • Intent detail modal
  2. mrveiss commented on Nov 30, 2025

    @mrveiss
    OwnerAuthor

    Starting implementation of Conversation Flow Analyzer for AutoBot.

    Will implement:

    • Flow extraction from conversation histories
    • Intent classification using pattern matching
    • Response pattern analysis
    • Error recovery pattern detection
    • Bottleneck identification
    • Optimization suggestions

    Researching existing conversation handling in the codebase...

  3. mrveiss commented on Nov 30, 2025

    @mrveiss
    OwnerAuthor

    Implementation Complete ✅

    Summary

    Implemented Conversation Flow Analyzer for AutoBot as part of EPIC #217 - Advanced Code Intelligence Methods.

    Files Created/Updated

    • src/code_intelligence/conversation_flow_analyzer.py - Core analyzer engine (~1050 lines)
    • src/code_intelligence/__init__.py - Updated exports
    • tests/unit/test_conversation_flow_analyzer.py - Comprehensive unit tests (72 tests)

    Features Implemented

    1. Intent Classification - 15 categories including installation, troubleshooting, security, performance
    2. Response Classification - 11 types including greeting, question, error, suggestion
    3. Flow Parsing - Parse raw conversations into structured flows with intent/response tracking
    4. Pattern Extraction - Identify common conversation paths and patterns
    5. Bottleneck Detection - Detect slow responses, repeated clarifications, error loops
    6. Optimization Suggestions - Caching, prompt improvement, error handling recommendations
    7. Health Score - Calculate overall conversation health (0-100)

    API Components

    • Enums: IntentCategory, FlowState, ResponseType, BottleneckType, OptimizationType
    • Data Classes: ConversationMessage, ConversationFlow, FlowPattern, Bottleneck, Optimization, AnalysisResult
    • Main Class: ConversationFlowAnalyzer with configurable thresholds
    • Convenience Functions: analyze_conversations, classify_intent, classify_response, etc.

    Quality Metrics

    Metric Result
    Unit Tests 72 tests, 100% pass
    Flake8 0 issues
    Code Review ✅ Approved (9.43/10)

    Commit

    981a3d26 - feat(code-intelligence): Add conversation flow analyzer engine (#227)

    Ready for merge.

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