价值流管理：端到端交付可视化

name: Jira Integration

on:
  pull_request:
    types: [opened, synchronize, closed]

jobs:
  jira-sync:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - name: Extract Jira Issue Key
        id: jira
        run: |
          # 从分支名或 PR 标题中提取 Jira Issue Key
          BRANCH_NAME="${{ github.head_ref }}"
          PR_TITLE="${{ github.event.pull_request.title }}"

          ISSUE_KEY=$(echo "$BRANCH_NAME $PR_TITLE" | grep -oE '[A-Z]+-[0-9]+' | head -1)

          if [ -z "$ISSUE_KEY" ]; then
            echo "warn=No Jira issue key found" >> $GITHUB_OUTPUT
            exit 0
          fi

          echo "issue_key=$ISSUE_KEY" >> $GITHUB_OUTPUT
          echo "Found Jira issue: $ISSUE_KEY"

      - name: Update Jira Issue
        if: steps.jira.outputs.issue_key
        uses: atlassian/gajira-transition@v3
        with:
          issue: ${{ steps.jira.outputs.issue_key }}
          transition: "In Review"
        env:
          JIRA_BASE_URL: ${{ secrets.JIRA_BASE_URL }}
          JIRA_USER_EMAIL: ${{ secrets.JIRA_USER_EMAIL }}
          JIRA_API_TOKEN: ${{ secrets.JIRA_API_TOKEN }}

      - name: Record flow metrics
        if: steps.jira.outputs.issue_key
        run: |
          # 记录价值流事件
          curl -X POST "${{ secrets.VSM_ENDPOINT }}/flow-events" \
            -H "Content-Type: application/json" \
            -d "{
              \"event_type\": \"pr_${{ github.event.action }}\",
              \"issue_key\": \"${{ steps.jira.outputs.issue_key }}\",
              \"pr_number\": ${{ github.event.pull_request.number }},
              \"timestamp\": \"$(date -u +%Y-%m-%dT%H:%M:%SZ)\",
              \"actor\": \"${{ github.actor }}\"
            }"

{
  "dashboard": {
    "title": "Value Stream Metrics",
    "panels": [
      {
        "title": "Flow Time Distribution",
        "type": "barchart",
        "gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 },
        "targets": [
          {
            "expr": "histogram_quantile(0.95, sum(rate(flow_time_seconds_bucket{team=~\"$team\"}[7d])) by (le, flow_item_type))",
            "legendFormat": "{{flow_item_type}} P95"
          }
        ]
      },
      {
        "title": "Flow Distribution",
        "type": "piechart",
        "gridPos": { "h": 8, "w": 6, "x": 12, "y": 0 },
        "targets": [
          {
            "expr": "sum(flow_items_count{team=~\"$team\"}) by (flow_item_type)",
            "legendFormat": "{{flow_item_type}}"
          }
        ]
      },
      {
        "title": "Flow Efficiency Trend",
        "type": "timeseries",
        "gridPos": { "h": 8, "w": 12, "x": 0, "y": 8 },
        "targets": [
          {
            "expr": "avg(flow_efficiency_ratio{team=~\"$team\"})",
            "legendFormat": "Flow Efficiency %"
          }
        ]
      },
      {
        "title": "Bottleneck Identification",
        "type": "table",
        "gridPos": { "h": 8, "w": 12, "x": 12, "y": 8 },
        "targets": [
          {
            "expr": "topk(5, avg by (stage) (wait_time_seconds{team=~\"$team\"}))",
            "format": "table"
          }
        ]
      }
    ]
  }
}