# SWARMCARE PHASE TRACKING & RESUMABLE EXECUTION SYSTEM

**Version:** 2.1 Ultimate
**Purpose:** Track project progress and enable resumable execution across sessions

---

## 🎯 PHASE TRACKING SYSTEM

### Phase Overview

| Phase | Name | Story Points | Status | Progress |
|-------|------|--------------|--------|----------|
| Phase 0 | Foundation & Infrastructure | 37 | NOT_STARTED | 0% |
| Phase 1 | RAG Heat System | 60 | NOT_STARTED | 0% |
| Phase 2 | SWARMCARE Agents | 94 | NOT_STARTED | 0% |
| Phase 3 | Workflow Orchestration | 76 | NOT_STARTED | 0% |
| Phase 4 | Frontend Application | 47 | NOT_STARTED | 0% |
| Phase 5 | Audio Generation | 21 | NOT_STARTED | 0% |
| Phase 6 | HIPAA Compliance | 47 | NOT_STARTED | 0% |
| Phase 7 | Testing & QA | 68 | NOT_STARTED | 0% |
| Phase 8 | Production Deployment | 47 | NOT_STARTED | 0% |
| Phase 9 | Documentation | 21 | NOT_STARTED | 0% |
| Phase 10 | Business & Partnerships | 26 | NOT_STARTED | 0% |
| Phase 11 | Research & Publications | 21 | NOT_STARTED | 0% |

**Status Values:** `NOT_STARTED`, `IN_PROGRESS`, `COMPLETED`, `BLOCKED`

---

## 📁 STATE PERSISTENCE FILES

### File Structure

```
SwarmCare/
├── IMPLEMENTATION_MASTER_PLAN.md          # User stories and requirements
├── PHASE_TRACKER.md                       # This file - phase tracking
├── .phase_state/                          # State persistence directory
│   ├── current_phase.json                 # Current phase and progress
│   ├── completed_stories.json             # Completed user stories
│   ├── execution_log.json                 # Execution history
│   └── checkpoints/                       # Phase checkpoint files
│       ├── phase_0_checkpoint.json
│       ├── phase_1_checkpoint.json
│       └── ...
├── scripts/                               # Automation scripts
│   ├── init_project.sh                    # Initialize project structure
│   ├── resume_execution.py                # Resume from last checkpoint
│   ├── update_progress.py                 # Update phase progress
│   └── generate_report.py                 # Generate progress report
└── docs/                                  # Generated documentation
```

---

## 🚀 RESUMABLE EXECUTION COMMANDS

### Command Structure

All commands follow this pattern:
```bash
python scripts/swarmcare_cli.py <command> [options]
```

### Available Commands

#### 1. Initialize Project
```bash
# Initialize project structure and create state files
python scripts/swarmcare_cli.py init

# What it does:
# - Creates .phase_state directory
# - Initializes current_phase.json
# - Creates empty completed_stories.json
# - Sets up checkpoint structure
# - Displays project overview
```

#### 2. Start Phase
```bash
# Start a specific phase
python scripts/swarmcare_cli.py start-phase --phase 0

# Options:
# --phase <number>     : Phase number (0-11)
# --force              : Force start even if previous phase incomplete

# What it does:
# - Checks prerequisites (previous phases completed)
# - Updates current_phase.json
# - Displays phase user stories
# - Creates phase checkpoint
```

#### 3. Resume Execution
```bash
# Resume from last checkpoint
python scripts/swarmcare_cli.py resume

# What it does:
# - Reads current_phase.json
# - Displays incomplete user stories
# - Shows next tasks to complete
# - Provides context for continuation
```

#### 4. Complete User Story
```bash
# Mark a user story as completed
python scripts/swarmcare_cli.py complete-story --story "1.1"

# Options:
# --story <id>         : User story ID (e.g., "1.1", "2.3")
# --notes "<text>"     : Optional completion notes

# What it does:
# - Marks story as completed
# - Updates completed_stories.json
# - Recalculates phase progress
# - Creates checkpoint
```

#### 5. Update Progress
```bash
# Update phase progress manually
python scripts/swarmcare_cli.py update-progress --phase 0 --progress 50

# Options:
# --phase <number>     : Phase number
# --progress <0-100>   : Progress percentage

# What it does:
# - Updates phase progress
# - Logs update in execution_log.json
# - Creates checkpoint
```

#### 6. Generate Report
```bash
# Generate progress report
python scripts/swarmcare_cli.py report

# Options:
# --format <type>      : Output format (markdown, html, pdf)
# --output <file>      : Output file path

# What it does:
# - Generates comprehensive progress report
# - Shows completed vs incomplete stories
# - Displays timeline and estimates
# - Exports to specified format
```

#### 7. List Phases
```bash
# List all phases with status
python scripts/swarmcare_cli.py list-phases

# What it does:
# - Displays all phases
# - Shows status and progress
# - Highlights current phase
# - Shows blockers if any
```

#### 8. Show Next Steps
```bash
# Show next steps based on current state
python scripts/swarmcare_cli.py next

# What it does:
# - Analyzes current state
# - Shows next user stories to complete
# - Provides implementation guidance
# - Shows dependencies
```

#### 9. Create Checkpoint
```bash
# Create manual checkpoint
python scripts/swarmcare_cli.py checkpoint --message "Completed RAG pipeline"

# Options:
# --message "<text>"   : Checkpoint message

# What it does:
# - Creates checkpoint with current state
# - Saves to checkpoints/ directory
# - Adds entry to execution_log.json
```

#### 10. Rollback
```bash
# Rollback to previous checkpoint
python scripts/swarmcare_cli.py rollback --checkpoint <id>

# Options:
# --checkpoint <id>    : Checkpoint ID or "latest"

# What it does:
# - Restores state from checkpoint
# - Updates current_phase.json
# - Logs rollback action
```

---

## 📊 STATE FILE FORMATS

### current_phase.json
```json
{
  "current_phase": 0,
  "phase_name": "Foundation & Infrastructure",
  "status": "IN_PROGRESS",
  "progress_percentage": 45,
  "started_at": "2025-10-31T10:00:00Z",
  "last_updated": "2025-10-31T14:30:00Z",
  "current_user_story": "1.2",
  "completed_stories": ["1.1"],
  "next_steps": [
    "Complete User Story 1.2: Cloud Infrastructure Provisioning",
    "Start User Story 1.3: Neo4j Knowledge Graph Setup"
  ],
  "blockers": [],
  "notes": "Cloud infrastructure 80% complete, Neo4j download in progress"
}
```

### completed_stories.json
```json
{
  "completed_stories": [
    {
      "story_id": "1.1",
      "story_title": "Development Environment Setup",
      "phase": 0,
      "completed_at": "2025-10-31T12:00:00Z",
      "completed_by": "Team",
      "story_points": 3,
      "notes": "All developers have environment configured",
      "artifacts": [
        "docker-compose.yml",
        ".env.example",
        "README.md"
      ]
    }
  ],
  "total_completed": 1,
  "total_story_points_completed": 3,
  "total_story_points": 1,362
}
```

### execution_log.json
```json
{
  "logs": [
    {
      "timestamp": "2025-10-31T10:00:00Z",
      "action": "INIT_PROJECT",
      "message": "Project initialized",
      "user": "system"
    },
    {
      "timestamp": "2025-10-31T10:05:00Z",
      "action": "START_PHASE",
      "phase": 0,
      "message": "Started Phase 0: Foundation & Infrastructure",
      "user": "team"
    },
    {
      "timestamp": "2025-10-31T12:00:00Z",
      "action": "COMPLETE_STORY",
      "story": "1.1",
      "message": "Completed User Story 1.1",
      "user": "team"
    },
    {
      "timestamp": "2025-10-31T14:30:00Z",
      "action": "CHECKPOINT",
      "message": "Infrastructure 80% complete",
      "user": "team"
    }
  ]
}
```

---

## 🔄 RESUMABLE EXECUTION WORKFLOW

### Daily Workflow

```
1. Start of Day:
   $ python scripts/swarmcare_cli.py resume
   → Shows current phase, progress, next steps

2. Work on Tasks:
   → Complete user stories
   → Implement features
   → Write tests
   → Deploy

3. Mark Progress:
   $ python scripts/swarmcare_cli.py complete-story --story "1.2" --notes "Cloud infra deployed"

4. End of Day:
   $ python scripts/swarmcare_cli.py checkpoint --message "Day 1 complete"
   $ python scripts/swarmcare_cli.py report --format markdown

5. Next Day:
   $ python scripts/swarmcare_cli.py resume
   → Continue from where you left off
```

### After Logout/Restart

```
# System was shut down, logged out, or session ended

# When you come back:
$ cd /home/user01/claude-test/SwarmCare
$ python scripts/swarmcare_cli.py resume

→ Output:
==================================================
SWARMCARE PROJECT RESUMPTION
==================================================

Current Phase: Phase 1 - RAG Heat System
Status: IN_PROGRESS
Progress: 35% (21/60 story points completed)

Last Updated: 2025-10-31 18:45:00
Last Checkpoint: "RAG pipeline prototype working"

Completed User Stories:
✓ 2.1: Document Ingestion Pipeline
✓ 2.2: Medical NLP Entity Extraction

In Progress:
→ 2.3: RAG Query Pipeline (50% complete)

Next Steps:
1. Complete User Story 2.3: RAG Query Pipeline
   - Remaining tasks:
     * Implement prompt engineering for medical domain
     * Generate answers with OpenAI/Claude
     * Add source citations
     * Performance testing and optimization

2. Start User Story 2.4: Knowledge Graph Explorer UI

Blockers: None

Recommended Command:
$ python scripts/swarmcare_cli.py show-story --story "2.3"

==================================================
```

---

## 🎯 PARALLEL EXECUTION SUPPORT

### Running Multiple Phases Concurrently

For independent phases, you can run multiple instances in parallel:

```bash
# Terminal 1: Work on Phase 1 (RAG Heat)
$ cd /home/user01/claude-test/SwarmCare
$ python scripts/swarmcare_cli.py start-phase --phase 1
$ # Work on RAG Heat features

# Terminal 2: Work on Phase 2 (SWARMCARE Agents)
$ cd /home/user01/claude-test/SwarmCare
$ python scripts/swarmcare_cli.py start-phase --phase 2 --parallel
$ # Work on agent development

# Terminal 3: Work on Phase 4 (Frontend)
$ cd /home/user01/claude-test/SwarmCare
$ python scripts/swarmcare_cli.py start-phase --phase 4 --parallel
$ # Work on UI development
```

**Parallel Execution State:**
- Each phase has its own checkpoint file
- Lock mechanism prevents conflicts
- Merge command to integrate parallel work

```bash
# Merge parallel work
$ python scripts/swarmcare_cli.py merge-parallel --phases 1,2,4

# What it does:
# - Checks for conflicts
# - Merges completed stories
# - Updates overall progress
# - Creates integration checkpoint
```

---

## 📈 PROGRESS TRACKING DASHBOARD

### CLI Dashboard
```bash
$ python scripts/swarmcare_cli.py dashboard

→ Output:
==================================================
SWARMCARE PROJECT DASHBOARD
==================================================

Overall Progress: ████████████░░░░░░░░ 45% (254/1,362 story points)

Phases:
✓ Phase 0: Foundation             [████████████████████] 100% (37/37)
✓ Phase 1: RAG Heat               [████████████████████] 100% (60/60)
→ Phase 2: SWARMCARE Agents       [██████████░░░░░░░░░░]  50% (47/94)
  Phase 3: Workflow Orchestration [░░░░░░░░░░░░░░░░░░░░]   0% (0/76)
  Phase 4: Frontend               [░░░░░░░░░░░░░░░░░░░░]   0% (0/47)
  ... (remaining phases)

Current Focus: Phase 2 - SWARMCARE Agents
Time Spent: 15 days
Estimated Remaining: 18 days (at current velocity)

Recent Activity:
✓ [2025-10-31 14:30] Completed Story 3.4: Medical Conversation Writer Agent
✓ [2025-10-31 10:15] Completed Story 3.3: Patient Case Synthesizer Agent
→ [2025-10-31 18:00] In Progress: Story 3.5: Compliance Validator Agent

Team Velocity: 28 story points/week (last 2 weeks)

Blockers: 1
⚠ Story 3.5 blocked - waiting for lawyer advisor onboarding

==================================================
```

### Web Dashboard (Optional)
```bash
# Start web dashboard server
$ python scripts/swarmcare_cli.py dashboard --web --port 8000

# Opens browser at http://localhost:8000
# Shows interactive progress charts, Gantt timeline, team velocity
```

---

## 🔧 INTEGRATION WORKFLOW

### For Teams Working on Different Phases

```bash
# Team A working on Phase 1
# Team B working on Phase 2
# Team C working on Phase 4

# Daily integration:
$ python scripts/swarmcare_cli.py integrate

# What it does:
# - Pulls latest from all parallel phases
# - Checks for integration points
# - Runs integration tests
# - Reports conflicts or issues
# - Creates integrated checkpoint

# Integration points are defined in:
# .phase_state/integration_points.json
```

### Integration Points Example
```json
{
  "integration_points": [
    {
      "id": "IP1",
      "name": "RAG Heat API → SWARMCARE Agents",
      "phases": [1, 2],
      "description": "Agents call RAG Heat API for knowledge retrieval",
      "status": "COMPLETED",
      "validated": true
    },
    {
      "id": "IP2",
      "name": "SWARMCARE Backend → Frontend",
      "phases": [2, 4],
      "description": "Frontend displays agent status and workflows",
      "status": "IN_PROGRESS",
      "validated": false
    }
  ]
}
```

---

## 📝 QUICK REFERENCE COMMANDS

### Most Common Commands

```bash
# Initialize project (first time only)
python scripts/swarmcare_cli.py init

# Resume from last checkpoint (use this after every login)
python scripts/swarmcare_cli.py resume

# Complete a user story
python scripts/swarmcare_cli.py complete-story --story "X.Y"

# Create checkpoint (save progress)
python scripts/swarmcare_cli.py checkpoint --message "Your message"

# Generate progress report
python scripts/swarmcare_cli.py report

# Show dashboard
python scripts/swarmcare_cli.py dashboard

# Start next phase
python scripts/swarmcare_cli.py start-phase --phase X
```

### Emergency Commands

```bash
# Rollback to last good state
python scripts/swarmcare_cli.py rollback --checkpoint latest

# Reset phase (caution: loses progress)
python scripts/swarmcare_cli.py reset-phase --phase X --confirm

# Backup all state
python scripts/swarmcare_cli.py backup --output ./backup.zip

# Restore from backup
python scripts/swarmcare_cli.py restore --input ./backup.zip
```

---

## 🎬 GETTING STARTED

### First Time Setup

```bash
# 1. Navigate to project directory
cd /home/user01/claude-test/SwarmCare

# 2. Initialize project
python scripts/swarmcare_cli.py init

# 3. Start Phase 0
python scripts/swarmcare_cli.py start-phase --phase 0

# 4. Begin working on user stories
# ... implement features ...

# 5. Mark stories complete as you finish them
python scripts/swarmcare_cli.py complete-story --story "1.1"
python scripts/swarmcare_cli.py complete-story --story "1.2"

# 6. Create checkpoint at end of day
python scripts/swarmcare_cli.py checkpoint --message "Day 1 complete"
```

### Continuing After Logout

```bash
# 1. Navigate to project directory
cd /home/user01/claude-test/SwarmCare

# 2. Resume from last checkpoint
python scripts/swarmcare_cli.py resume

# 3. Continue working
# ... implement remaining features ...

# 4. Update progress
python scripts/swarmcare_cli.py complete-story --story "1.3"
```

---

## 🚨 TROUBLESHOOTING

### Issue: Resume command shows wrong phase

**Solution:**
```bash
# Check current state
cat .phase_state/current_phase.json

# Manually set phase if needed
python scripts/swarmcare_cli.py set-phase --phase X
```

### Issue: Parallel execution conflicts

**Solution:**
```bash
# List all active parallel work
python scripts/swarmcare_cli.py list-parallel

# Resolve conflicts
python scripts/swarmcare_cli.py resolve-conflicts --interactive
```

### Issue: State files corrupted

**Solution:**
```bash
# Restore from last backup
python scripts/swarmcare_cli.py restore --checkpoint latest

# If no backup, reinitialize (loses progress)
python scripts/swarmcare_cli.py init --reset
```

---

## 📊 SUCCESS METRICS TRACKING

### Automated Tracking

```bash
# Generate success metrics report
python scripts/swarmcare_cli.py metrics

→ Output:
==================================================
PROJECT SUCCESS METRICS
==================================================

Technical Success:
✓ Story Points Completed: 254/1,362 (45%)
✓ Code Coverage: 78% (target: 80%)
→ API Response Time: 1.8s (target: <2s) ✓
→ System Uptime: 99.6% (target: >99.5%) ✓
⚠ HIPAA Compliance: Pending lawyer review
✓ Clinical Accuracy: 87% (target: >85%) ✓

Business Success:
→ UHG Partnership: Demo scheduled (Day 29)
→ Advisory Board: 4/7 members (target: 5-7)
→ Research Papers: 1/4 submitted
✓ Production Deployment: Staging live
→ User Satisfaction: 4.2/5 (target: >4.5/5)

Team Success:
✓ Team Onboarded: 22/22 members
✓ Sprint Velocity: 28 pts/week (consistent)
✓ Team Satisfaction: 4.3/5
✓ Security Incidents: 0
→ On-time Delivery: 85% (target: 100%)

==================================================
```

---

## 🎯 NEXT: CREATE CLI TOOL

See `scripts/swarmcare_cli.py` for implementation.

**End of Phase Tracker Document**
