name: AI Agent - Planning

on:
  workflow_dispatch:
    inputs:
      component:
        description: 'Component to plan for'
        required: true
        type: choice
        options:
          - web_v2
          - backend
          - common

jobs:
  planning:
    runs-on: ubuntu-latest
    timeout-minutes: 30
    
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with:
          fetch-depth: 0
      
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.11'
      
      - name: Install Cursor CLI
        run: |
          curl https://cursor.com/install -fsS | bash
          export PATH="$HOME/.cursor/bin:$PATH"
          echo "$HOME/.cursor/bin" >> $GITHUB_PATH
      
      - name: Configure Git
        run: |
          git config --global user.name "AI Agent"
          git config --global user.email "ai-agent@mnemo-cards.com"
      
      - name: Run Planning Agent
        env:
          CURSOR_API_KEY: ${{ secrets.CURSOR_API_KEY }}
          CURSOR_MODEL: ${{ secrets.CURSOR_MODEL }}
          PROJECT_ROOT: ${{ github.workspace }}
          MAX_ITERATIONS: 10
        run: |
          cd ${{ github.workspace }}
          python3 tools/agent/planning_agent.py ${{ inputs.component }}
      
      - name: Parse Task List and Create Summary
        if: success()
        id: parse_tasks
        run: |
          COMPONENT="${{ inputs.component }}"
          TASK_LIST_PATH="ai_docs/agent/${COMPONENT}/task_list.json"
          
          if [ ! -f "$TASK_LIST_PATH" ]; then
            echo "Task list not found"
            exit 0
          fi
          
          # Parse JSON with Python
          python3 << 'EOF'
          import json
          import os
          
          component = os.environ.get('COMPONENT', 'unknown')
          task_list_path = f"ai_docs/agent/{component}/task_list.json"
          
          try:
              with open(task_list_path, 'r') as f:
                  data = json.load(f)
              
              tasks = data.get('tasks', [])
              high = sum(1 for t in tasks if t.get('priority') == 'high')
              medium = sum(1 for t in tasks if t.get('priority') == 'medium')
              low = sum(1 for t in tasks if t.get('priority') == 'low')
              total_hours = sum(t.get('estimated_hours', 0) for t in tasks)
              
              # Create issue body
              body = f"# 🎯 Planning Summary: {component}\\n\\n"
              body += f"**Generated:** {data.get('generated_at', 'N/A')}\\n"
              body += f"**Total Tasks:** {len(tasks)}\\n"
              body += f"**Estimated Hours:** {total_hours:.1f}h\\n\\n"
              body += "## Priority Breakdown\\n\\n"
              body += f"- 🔴 **HIGH:** {high} tasks\\n"
              body += f"- 🟡 **MEDIUM:** {medium} tasks\\n"
              body += f"- 🟢 **LOW:** {low} tasks\\n\\n"
              
              high_tasks = [t for t in tasks if t.get('priority') == 'high']
              if high_tasks:
                  body += "## 🔴 High Priority Tasks\\n\\n"
                  for task in high_tasks:
                      body += f"### {task['id']}: {task['title']}\\n"
                      body += f"- **Estimated:** {task['estimated_hours']}h\\n"
                      body += f"- **Status:** {task['status']}\\n"
                      desc = task['description'][:200]
                      body += f"- **Description:** {desc}...\\n\\n"
              
              body += "\\n---\\n*Generated by AI Planning Agent*"
              
              # Save to file for next step
              with open('/tmp/issue_body.txt', 'w') as f:
                  f.write(body)
              
              title = f"📋 Planning: {component} - {len(tasks)} tasks ({total_hours:.1f}h)"
              with open('/tmp/issue_title.txt', 'w') as f:
                  f.write(title)
              
              print(f"Tasks: {len(tasks)}, High: {high}, Medium: {medium}, Low: {low}")
              
          except Exception as e:
              print(f"Error: {e}")
              exit(1)
          EOF
        env:
          COMPONENT: ${{ inputs.component }}
      
      - name: Create Issue via Forgejo API
        if: success()
        run: |
          COMPONENT="${{ inputs.component }}"
          
          if [ ! -f "/tmp/issue_body.txt" ] || [ ! -f "/tmp/issue_title.txt" ]; then
            echo "Issue files not found, skipping issue creation"
            exit 0
          fi
          
          TITLE=$(cat /tmp/issue_title.txt)
          BODY=$(cat /tmp/issue_body.txt)
          
          # Forgejo API endpoint (adjust to your Forgejo instance)
          API_URL="${{ github.api_url }}/repos/${{ github.repository }}/issues"
          
          # Create issue using curl
          curl -X POST "$API_URL" \
            -H "Authorization: token ${{ secrets.FORGEJO_TOKEN }}" \
            -H "Content-Type: application/json" \
            -d @- << EOF
          {
            "title": "$TITLE",
            "body": $(echo "$BODY" | jq -Rs .),
            "labels": ["ai-agent", "planning", "$COMPONENT"]
          }
          EOF
      
      - name: Trigger Development Workflow
        if: success()
        run: |
          COMPONENT="${{ inputs.component }}"
          
          # Trigger via Forgejo API
          API_URL="${{ github.api_url }}/repos/${{ github.repository }}/actions/workflows/agent-development.yml/dispatches"
          
          curl -X POST "$API_URL" \
            -H "Authorization: token ${{ secrets.FORGEJO_TOKEN }}" \
            -H "Content-Type: application/json" \
            -d "{\"ref\":\"master\",\"inputs\":{\"component\":\"$COMPONENT\"}}"