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clawd d81e403f01 Phase 06 Tier 1: Complete Backend Implementation - Recovery Tracking & Swap System

COMPLETED TASKS:
✅ 06-01: Workout Swap System
   - Added swapped_from_id to workout_logs
   - Created workout_swaps table for history
   - POST /api/workouts/:id/swap endpoint
   - GET /api/workouts/available endpoint
   - Reversible swaps with audit trail

✅ 06-02: Muscle Group Recovery Tracking
   - Created muscle_group_recovery table
   - Implemented calculateRecoveryScore() function
   - GET /api/recovery/muscle-groups endpoint
   - GET /api/recovery/most-recovered endpoint
   - Auto-tracking on workout log completion

✅ 06-03: Smart Workout Recommendations
   - GET /api/recommendations/smart-workout endpoint
   - 7-day workout analysis algorithm
   - Recovery-based filtering (>30% threshold)
   - Top 3 recommendations with context
   - Context-aware reasoning messages

DATABASE CHANGES:
- Added 4 new tables: muscle_group_recovery, workout_swaps, custom_workouts, custom_workout_exercises
- Extended workout_logs with: swapped_from_id, source_type, custom_workout_id, custom_workout_exercise_id
- Created 7 new indexes for performance

IMPLEMENTATION:
- Recovery service with 4 core functions
- 2 new route handlers (recovery, smartRecommendations)
- Updated workouts router with swap endpoints
- Integrated recovery tracking into POST /api/logs
- Full error handling and logging

TESTING:
- Test file created: /backend/test/phase-06-tests.js
- Ready for E2E and staging validation

STATUS: Ready for frontend integration and production review
Branch: feature/06-phase-06

2026-03-06 20:54:03 +01:00

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Automatic Topology Selection

Purpose

Automatically select the optimal swarm topology based on task complexity analysis.

How It Works

1. Task Analysis

The system analyzes your task description to determine:

Complexity level (simple/medium/complex)
Required agent types
Estimated duration
Resource requirements

2. Topology Selection

Based on analysis, it selects:

Star: For simple, centralized tasks
Mesh: For medium complexity with flexibility needs
Hierarchical: For complex tasks requiring structure
Ring: For sequential processing workflows

3. Example Usage

Simple Task:

Tool: mcp__claude-flow__task_orchestrate
Parameters: {"task": "Fix typo in README.md"}
Result: Automatically uses star topology with single agent

Complex Task:

Tool: mcp__claude-flow__task_orchestrate
Parameters: {"task": "Refactor authentication system with JWT, add tests, update documentation"}
Result: Automatically uses hierarchical topology with architect, coder, and tester agents

Benefits

🎯 Optimal performance for each task type
🤖 Automatic agent assignment
⚡ Reduced setup time
📊 Better resource utilization

Hook Configuration

The pre-task hook automatically handles topology selection:

{
  "command": "npx claude-flow hook pre-task --optimize-topology"
}

Direct Optimization

Tool: mcp__claude-flow__topology_optimize
Parameters: {"swarmId": "current"}

CLI Usage

# Auto-optimize topology via CLI
npx claude-flow optimize topology

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