# TDD Mode Workflow Documentation

## Overview

This document defines the comprehensive workflow for the Test-Driven Development (TDD) mode within the SAFLA-aiGI integrated system. The TDD mode orchestrates test-first development cycles using SAFLA's MCP tools, CLI commands, and real-time resources to ensure high-quality, well-tested code implementation.

## Core TDD Workflow Phases

### Phase 1: Test Specification and Planning

#### 1.1 Requirements Analysis and Test Planning
```bash
# Initialize TDD session with system awareness
use_mcp_tool safla get_system_awareness '{}'

# Create TDD-focused goal
use_mcp_tool safla create_goal '{
  "goal_name": "comprehensive_test_coverage",
  "description": "Implement comprehensive test coverage for feature X",
  "priority": "high",
  "target_metrics": {
    "line_coverage": 0.95,
    "branch_coverage": 0.92,
    "quality_score": 0.90
  }
}'

# Select optimal testing strategy
use_mcp_tool safla select_optimal_strategy '{
  "context": "test_driven_development",
  "constraints": {"time_limit": "2_hours", "coverage_target": "95%"},
  "objectives": ["comprehensive_coverage", "high_quality", "maintainable_tests"]
}'
```

#### 1.2 Test Environment Validation
```bash
# Validate SAFLA installation for testing
use_mcp_tool safla validate_installation '{}'

# Check system configuration for testing
use_mcp_tool safla get_config_summary '{}'

# Verify testing infrastructure
use_mcp_tool safla check_deployment_status '{"instance_name": "test_environment"}'

# Monitor system health before testing
use_mcp_tool safla monitor_system_health '{
  "check_interval": 30,
  "alert_thresholds": {"memory_usage": 0.8, "cpu_usage": 0.75}
}'
```

#### 1.3 Agent Session Initialization
```bash
# Create cognitive agent for TDD assistance
use_mcp_tool safla create_agent_session '{
  "agent_type": "cognitive",
  "session_config": {
    "focus": "test_driven_development",
    "optimization_level": "balanced",
    "learning_enabled": true
  },
  "timeout_seconds": 7200
}'

# Expected Response: {"session_id": "tdd_agent_001", "status": "active"}

# Interact with TDD agent for test planning
use_mcp_tool safla interact_with_agent '{
  "session_id": "tdd_agent_001",
  "command": "analyze_requirements",
  "parameters": {
    "feature_specification": "user_authentication_system",
    "test_types": ["unit", "integration", "performance"],
    "coverage_targets": {"line": 95, "branch": 92}
  }
}'
```

### Phase 2: Red Phase - Write Failing Tests

#### 2.1 Test Case Generation and Implementation
```bash
# Generate test specifications using agent
use_mcp_tool safla interact_with_agent '{
  "session_id": "tdd_agent_001",
  "command": "generate_test_cases",
  "parameters": {
    "component": "authentication_service",
    "test_patterns": ["happy_path", "edge_cases", "error_conditions"],
    "assertion_style": "descriptive"
  }
}'

# Run integration tests to establish baseline
use_mcp_tool safla run_integration_tests '{
  "test_suite": "authentication_tests",
  "parallel": true,
  "verbose": true
}'

# Validate memory operations for test data
use_mcp_tool safla validate_memory_operations '{
  "test_data_size": 50,
  "include_stress_test": false
}'
```

#### 2.2 Test Execution and Failure Verification
```bash
# Execute initial test run (expecting failures)
npm test -- --coverage --verbose

# Monitor test results through SAFLA resources
access_mcp_resource safla "safla://test-results"

# Analyze test coverage gaps
access_mcp_resource safla "safla://test-coverage"

# Benchmark test execution performance
use_mcp_tool safla benchmark_memory_performance '{
  "test_duration": 60,
  "memory_patterns": ["sequential_access", "random_access", "bulk_operations"]
}'
```

#### 2.3 Failure Analysis and Documentation
```bash
# Analyze test failures with agent assistance
use_mcp_tool safla interact_with_agent '{
  "session_id": "tdd_agent_001",
  "command": "analyze_test_failures",
  "parameters": {
    "failure_patterns": "assertion_errors",
    "suggest_fixes": true,
    "learning_mode": "enabled"
  }
}'

# Document expected failures for tracking
echo "Expected test failures documented at $(date)" >> tdd_progress.log

# Update learning metrics based on failure patterns
use_mcp_tool safla trigger_learning_cycle '{
  "learning_type": "incremental",
  "data_sources": ["test_failures", "coverage_gaps"],
  "focus_areas": ["test_quality", "coverage_optimization"]
}'
```

### Phase 3: Green Phase - Implement Minimal Code

#### 3.1 Implementation Strategy Selection
```bash
# Select implementation strategy based on test requirements
use_mcp_tool safla select_optimal_strategy '{
  "context": "minimal_implementation",
  "constraints": {"test_compliance": "strict", "performance": "acceptable"},
  "objectives": ["pass_tests", "maintainable_code", "minimal_complexity"]
}'

# Optimize memory usage for implementation
use_mcp_tool safla optimize_memory_usage '{
  "optimization_level": "balanced",
  "target_memory_mb": 512
}'

# Optimize vector operations if needed
use_mcp_tool safla optimize_vector_operations '{
  "batch_size": 100,
  "use_gpu": true
}'
```

#### 3.2 Incremental Implementation with Continuous Testing
```bash
# Implement minimal code to pass tests
# (Code implementation happens here through apply_diff/write_to_file)

# Continuous test execution during implementation
while implementing; do
  npm test -- --watch --coverage
  
  # Monitor performance during implementation
  access_mcp_resource safla "safla://performance-metrics"
  
  # Check memory usage
  access_mcp_resource safla "safla://status"
  
  sleep 10
done
```

#### 3.3 Test Validation and Success Verification
```bash
# Run comprehensive test suite
use_mcp_tool safla run_integration_tests '{
  "test_suite": "full_suite",
  "parallel": true,
  "verbose": false
}'

# Validate test success with agent
use_mcp_tool safla interact_with_agent '{
  "session_id": "tdd_agent_001",
  "command": "validate_implementation",
  "parameters": {
    "test_results": "all_passing",
    "coverage_achieved": true,
    "quality_metrics": "acceptable"
  }
}'

# Update goal progress
use_mcp_tool safla update_goal '{
  "goal_id": "comprehensive_test_coverage",
  "progress": 0.6,
  "notes": "Green phase completed - all tests passing"
}'
```

### Phase 4: Refactor Phase - Improve Code Quality

#### 4.1 Performance Analysis and Optimization
```bash
# Analyze performance bottlenecks
use_mcp_tool safla analyze_performance_bottlenecks '{
  "duration_seconds": 120,
  "include_memory_profile": true
}'

# Benchmark vector operations performance
use_mcp_tool safla benchmark_vector_operations '{
  "vector_count": 1000,
  "vector_dimensions": 512,
  "operations": ["similarity", "clustering", "indexing"]
}'

# Benchmark MCP throughput during refactoring
use_mcp_tool safla benchmark_mcp_throughput '{
  "request_count": 200,
  "concurrent_connections": 4,
  "payload_size": "medium"
}'
```

#### 4.2 Code Quality Improvement with Test Preservation
```bash
# Refactor code while maintaining test coverage
# (Refactoring happens here through apply_diff)

# Continuous test execution during refactoring
npm test -- --watch --coverage --silent

# Monitor test coverage during refactoring
watch -n 5 'access_mcp_resource safla "safla://test-coverage" | jq ".coverage_summary"'

# Validate memory operations after refactoring
use_mcp_tool safla validate_memory_operations '{
  "test_data_size": 100,
  "include_stress_test": true
}'
```

#### 4.3 Quality Validation and Learning Integration
```bash
# Evaluate refactoring success with agent
use_mcp_tool safla interact_with_agent '{
  "session_id": "tdd_agent_001",
  "command": "evaluate_refactoring",
  "parameters": {
    "code_quality_metrics": "improved",
    "test_coverage_maintained": true,
    "performance_impact": "positive"
  }
}'

# Update learning parameters based on refactoring success
use_mcp_tool safla update_learning_parameters '{
  "learning_rate": 0.1,
  "adaptation_threshold": 0.8,
  "memory_retention": 0.9,
  "exploration_factor": 0.2
}'

# Trigger learning cycle for refactoring patterns
use_mcp_tool safla trigger_learning_cycle '{
  "learning_type": "reinforcement",
  "data_sources": ["refactoring_outcomes", "quality_improvements"],
  "focus_areas": ["code_quality", "maintainability"]
}'
```

### Phase 5: Integration and Validation

#### 5.1 Comprehensive Testing and Validation
```bash
# Run full integration test suite
use_mcp_tool safla run_integration_tests '{
  "test_suite": "comprehensive",
  "parallel": true,
  "verbose": true
}'

# Validate memory operations under load
use_mcp_tool safla validate_memory_operations '{
  "test_data_size": 200,
  "include_stress_test": true
}'

# Test MCP connectivity and performance
use_mcp_tool safla test_mcp_connectivity '{
  "target_server": "safla",
  "test_depth": "comprehensive"
}'
```

#### 5.2 Performance Benchmarking and Baseline Updates
```bash
# Benchmark final implementation performance
use_mcp_tool safla benchmark_memory_performance '{
  "test_duration": 300,
  "memory_patterns": ["production_simulation", "stress_patterns", "edge_cases"]
}'

# Compare with performance baselines
access_mcp_resource safla "safla://performance-baselines"
current_performance=$(access_mcp_resource safla "safla://performance-metrics")

# Update baselines if performance improved
if performance_improved; then
  echo "Performance baseline update recommended"
fi
```

#### 5.3 Goal Completion and Learning Consolidation
```bash
# Evaluate final goal progress
use_mcp_tool safla evaluate_goal_progress '{
  "goal_id": "comprehensive_test_coverage",
  "include_recommendations": true
}'

# Update goal to completed status
use_mcp_tool safla update_goal '{
  "goal_id": "comprehensive_test_coverage",
  "status": "completed",
  "progress": 1.0,
  "notes": "TDD cycle completed successfully with 95.2% coverage"
}'

# Analyze adaptation patterns from TDD cycle
use_mcp_tool safla analyze_adaptation_patterns '{
  "pattern_type": "all",
  "analysis_depth": "comprehensive",
  "time_window_days": 1
}'
```

## Advanced Workflow Patterns

### Continuous Integration Workflow
```bash
# CI/CD integration with SAFLA monitoring
#!/bin/bash
set -e

echo "Starting SAFLA-integrated TDD CI workflow"

# Initialize SAFLA monitoring
use_mcp_tool safla monitor_system_health '{
  "check_interval": 15,
  "alert_thresholds": {"memory_usage": 0.85, "cpu_usage": 0.8}
}'

# Create CI-specific agent session
ci_session=$(use_mcp_tool safla create_agent_session '{
  "agent_type": "cognitive",
  "session_config": {"focus": "continuous_integration", "optimization_level": "aggressive"},
  "timeout_seconds": 3600
}' | jq -r '.session_id')

# Run tests with comprehensive monitoring
npm test -- --coverage --ci

# Validate results through SAFLA
test_results=$(access_mcp_resource safla "safla://test-results")
coverage_data=$(access_mcp_resource safla "safla://test-coverage")

# Evaluate CI success with agent
use_mcp_tool safla interact_with_agent '{
  "session_id": "'$ci_session'",
  "command": "evaluate_ci_results",
  "parameters": {
    "test_results": "'$test_results'",
    "coverage_data": "'$coverage_data'",
    "quality_gates": "enforced"
  }
}'

# Cleanup
use_mcp_tool safla terminate_agent_session '{"session_id": "'$ci_session'"}'
```

### Parallel Testing Workflow
```bash
# Parallel test execution with SAFLA coordination
parallel_test_workflow() {
  local test_suites=("unit" "integration" "performance" "e2e")
  local pids=()
  
  # Create agent sessions for each test type
  for suite in "${test_suites[@]}"; do
    session_id=$(use_mcp_tool safla create_agent_session '{
      "agent_type": "cognitive",
      "session_config": {"focus": "'$suite'_testing", "optimization_level": "balanced"},
      "timeout_seconds": 1800
    }' | jq -r '.session_id')
    
    # Run test suite in background
    (
      echo "Starting $suite tests with session $session_id"
      npm test -- --testPathPattern="$suite" --coverage
      
      # Report completion to agent
      use_mcp_tool safla interact_with_agent '{
        "session_id": "'$session_id'",
        "command": "report_completion",
        "parameters": {"test_suite": "'$suite'", "status": "completed"}
      }'
      
      use_mcp_tool safla terminate_agent_session '{"session_id": "'$session_id'"}'
    ) &
    
    pids+=($!)
  done
  
  # Wait for all test suites to complete
  for pid in "${pids[@]}"; do
    wait $pid
  done
  
  echo "All parallel test suites completed"
}
```

### Adaptive Learning Workflow
```bash
# Adaptive learning integration in TDD workflow
adaptive_tdd_cycle() {
  local iteration=1
  local max_iterations=5
  
  while [ $iteration -le $max_iterations ]; do
    echo "TDD Iteration $iteration"
    
    # Get learning metrics before iteration
    learning_before=$(use_mcp_tool safla get_learning_metrics '{
      "metric_type": "all",
      "time_range_hours": 1
    }')
    
    # Execute TDD cycle (Red-Green-Refactor)
    execute_red_phase
    execute_green_phase  
    execute_refactor_phase
    
    # Trigger learning cycle after iteration
    use_mcp_tool safla trigger_learning_cycle '{
      "learning_type": "incremental",
      "data_sources": ["test_outcomes", "code_quality", "performance_metrics"],
      "focus_areas": ["test_effectiveness", "implementation_efficiency"]
    }'
    
    # Get learning metrics after iteration
    learning_after=$(use_mcp_tool safla get_learning_metrics '{
      "metric_type": "all", 
      "time_range_hours": 1
    }')
    
    # Evaluate learning progress
    learning_improvement=$(echo "$learning_before $learning_after" | jq -s '
      (.[1].test_learning_metrics.test_effectiveness_learning - .[0].test_learning_metrics.test_effectiveness_learning)
    ')
    
    if (( $(echo "$learning_improvement > 5.0" | bc -l) )); then
      echo "Significant learning improvement detected: $learning_improvement%"
    fi
    
    ((iteration++))
  done
}
```

## Error Handling and Recovery Workflows

### Test Failure Recovery
```bash
# Comprehensive test failure recovery workflow
handle_test_failures() {
  local failure_count=$(access_mcp_resource safla "safla://test-results" | jq '.latest_execution.failed')
  
  if [ "$failure_count" -gt 0 ]; then
    echo "Handling $failure_count test failures"
    
    # Create failure analysis agent
    analysis_session=$(use_mcp_tool safla create_agent_session '{
      "agent_type": "cognitive",
      "session_config": {"focus": "failure_analysis", "optimization_level": "comprehensive"},
      "timeout_seconds": 1800
    }' | jq -r '.session_id')
    
    # Analyze failures with agent assistance
    failure_analysis=$(use_mcp_tool safla interact_with_agent '{
      "session_id": "'$analysis_session'",
      "command": "analyze_failures",
      "parameters": {
        "failure_data": "from_test_results",
        "suggest_fixes": true,
        "prioritize_by_impact": true
      }
    }')
    
    # Apply suggested fixes iteratively
    echo "$failure_analysis" | jq -r '.suggested_fixes[]' | while read fix; do
      echo "Applying fix: $fix"
      # Apply fix through code modification tools
      # Re-run tests to validate fix
      npm test -- --testNamePattern="$fix"
    done
    
    # Cleanup analysis session
    use_mcp_tool safla terminate_agent_session '{"session_id": "'$analysis_session'"}'
  fi
}
```

### Performance Degradation Recovery
```bash
# Performance degradation detection and recovery
monitor_and_recover_performance() {
  local baseline_response_time=$(access_mcp_resource safla "safla://performance-baselines" | jq -r '.baseline_metrics.application_baselines.response_time' | sed 's/ms//')
  local current_response_time=$(access_mcp_resource safla "safla://performance-metrics" | jq -r '.application_performance.response_times.avg' | sed 's/ms//')
  
  local degradation=$(echo "scale=2; ($current_response_time - $baseline_response_time) / $baseline_response_time * 100" | bc)
  
  if (( $(echo "$degradation > 20" | bc -l) )); then
    echo "Performance degradation detected: ${degradation}%"
    
    # Trigger performance optimization
    use_mcp_tool safla optimize_memory_usage '{
      "optimization_level": "aggressive",
      "target_memory_mb": 256
    }'
    
    # Optimize vector operations
    use_mcp_tool safla optimize_vector_operations '{
      "batch_size": 50,
      "use_gpu": true
    }'
    
    # Re-run performance tests
    use_mcp_tool safla benchmark_memory_performance '{
      "test_duration": 60,
      "memory_patterns": ["optimized_access"]
    }'
  fi
}
```

## Workflow Completion and Handoff

### Mode Transition Workflow
```bash
# Complete TDD workflow and transition to next mode
complete_tdd_workflow() {
  echo "Completing TDD workflow"
  
  # Final validation
  use_mcp_tool safla run_integration_tests '{
    "test_suite": "final_validation",
    "parallel": true,
    "verbose": false
  }'
  
  # Generate comprehensive report
  final_report=$(cat << EOF
TDD Workflow Completion Report
=============================
Test Coverage: $(access_mcp_resource safla "safla://test-coverage" | jq '.coverage_summary.overall_coverage')%
Test Results: $(access_mcp_resource safla "safla://test-results" | jq '.latest_execution | {passed, failed, execution_time}')
Performance: $(access_mcp_resource safla "safla://performance-metrics" | jq '.application_performance.response_times.avg')
Learning Progress: $(use_mcp_tool safla get_learning_metrics '{}' | jq '.test_learning_metrics.test_effectiveness_learning')%
EOF
)
  
  echo "$final_report"
  
  # Cleanup all agent sessions
  use_mcp_tool safla list_agent_sessions '{}' | jq -r '.active_sessions[].session_id' | while read session_id; do
    use_mcp_tool safla terminate_agent_session '{"session_id": "'$session_id'"}'
  done
  
  # Spawn next workflow phase
  new_task code "Implement production code based on TDD specifications"
}
```

This comprehensive workflow documentation provides detailed guidance for executing test-driven development cycles using SAFLA's MCP tools, CLI commands, and real-time resources, ensuring high-quality, well-tested code implementation through systematic and adaptive workflows.