ci: 同步AI ISSUE BOT更改

.github/workflows/issue-ai-analysis.yml

@@ -1,4 +1,4 @@
-name: Issue AI Analysis
+name: AI Issue Analysis
 
 on:
   issues:
@@ -12,165 +12,48 @@ on:
         required: true
         type: number
 
-env:
-  # 初始评论内容（包含运行链接，仅出现一次）
-  INITIAL_BODY: |
-    🤖 **MaaBot 正在分析该 Issue...**  
-    感谢您的反馈！AI 正在自动分析该问题，预计耗时约 10 分钟。
-  ACTION_LINK: |
-    🔗 [GitHub Action 运行记录](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }})
-  DETAILS_BEGIN: |
-    <details><summary>点击此处展开分析过程</summary>
-  DETAILS_END: |
-    </details>
-
 jobs:
   copilot-analysis:
     if: |
       (github.event_name == 'issues' && github.event.action == 'opened') ||
       github.event_name == 'workflow_dispatch' ||
-      (github.event_name == 'issue_comment' && 
-       github.event.action == 'created' && 
-       contains(github.event.comment.body, '@MaaArknightsBot') && 
+      (github.event_name == 'issue_comment' &&
+       github.event.action == 'created' &&
+       contains(github.event.comment.body, '@MaaArknightsBot') &&
        github.event.comment.user.type != 'Bot')
     runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      issues: write
     steps:
-      - uses: actions/checkout@v4
-
-      - name: Determine issue number
-        id: issue_number
-        run: |
-          if [[ "${{ github.event_name }}" == "issues" ]] || [[ "${{ github.event_name }}" == "issue_comment" ]]; then
-            echo "issue_number=${{ github.event.issue.number }}" | tee -a "$GITHUB_OUTPUT"
-          elif [[ "${{ github.event_name }}" == "workflow_dispatch" ]]; then
-            echo "issue_number=${{ github.event.inputs.issue_number }}" | tee -a "$GITHUB_OUTPUT"
-          else
-            echo "Unknown trigger" && exit 1
-          fi
-
-      # 步骤 1：发布初始中文评论，提示正在分析，并附上 Actions 运行链接
-      - name: Create initial comment
-        id: initial_comment
-        uses: peter-evans/create-or-update-comment@main
+      # 这个 action 只负责编排，分析质量仍依赖配套的 issue/log analysis skill。
+      # 最佳实践参考：
+      # - https://github.com/MaaAssistantArknights/MaaAssistantArknights/blob/dev-v2/.claude/skills/maa-issue-log-analysis/SKILL.md
+      # - https://github.com/MaaEnd/MaaEnd/blob/ci/prompt/.claude/skills/maaend-issue-log-analysis/SKILL.md
+      - name: Analyze issue with AI
+        id: analysis
+        uses: Misteo/ai-issue-analysis@main
         with:
-          issue-number: ${{ steps.issue_number.outputs.issue_number }}
-          token: ${{ secrets.MAA_BOT_TOKEN }}
-          body: |
-            ${{ env.INITIAL_BODY }}
-            ---
-            ${{ env.ACTION_LINK }}
+          github-token: ${{ secrets.MAA_BOT_TOKEN }}
+          copilot-github-token: ${{ secrets.COPILOT_GITHUB_TOKEN }}
+          bot-name: '@MaaArknightsBot'
+          initial-comment-body: |
+            🤖 **MaaBot 正在分析该 Issue...**
 
-      - name: Install Copilot CLI
-        run: npm install -g @github/copilot
+            感谢您的反馈！AI 正在自动分析该问题，预计耗时约 10 分钟。
 
-      # 步骤 2：执行 AI 分析，并流式更新评论（固定时间间隔）
-      # 注意需搭配 issue 分析 skill 使用: https://github.com/MaaAssistantArknights/MaaAssistantArknights/blob/v2/.claude/skills/maa-issue-log-analysis/SKILL.md
-      - name: Run Copilot analysis with streaming updates
-        shell: bash
+      - name: Consume outputs
         env:
-          # GitHub 个人设置里添加 Fine-grained token, 勾选上所有 Copilot 相关的，过期时间不能超过一年。
-          # Personal access tokens (classic) 不行，只能是 Fine-grained token
-          COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
-          # 用于更新评论的 token
-          GITHUB_TOKEN: ${{ secrets.MAA_BOT_TOKEN }}
-          COMMENT_ID: ${{ steps.initial_comment.outputs.comment-id }}
-          REPO: ${{ github.repository }}
-          ISSUE_NUMBER: ${{ steps.issue_number.outputs.issue_number }}
+          ANALYSIS_PROMPT: ${{ steps.analysis.outputs.analysis-prompt }}
+          ISSUE_NUMBER: ${{ steps.analysis.outputs.issue-number }}
+          COMMENT_ID: ${{ steps.analysis.outputs.comment-id }}
+          COMMENT_URL: ${{ steps.analysis.outputs.comment-url }}
+          COPILOT_OUTPUT: ${{ steps.analysis.outputs.copilot-output }}
+          FINAL_CONCLUSION: ${{ steps.analysis.outputs.final-conclusion }}
         run: |
-          # 定义输出文件和临时文件
-          OUTPUT_FILE="copilot_output.log"
-          BODY_FILE="comment_body.txt"
-          RUN_URL="${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}"
-
-          # 启动 Copilot 后台进程，将输出重定向到文件（同时捕获错误输出）
-          # 这里用了 gpt-5.4-xhigh。免费模型不会调用工具和 skill（太笨），不建议用
-          copilot --yolo --model gpt-5.4 --reasoning-effort xhigh \
-            --prompt "分析一下 #${{ steps.issue_number.outputs.issue_number }}，将你的结论输出到 copilot_answer.md" > "$OUTPUT_FILE" 2>&1 &
-          COPILOT_PID=$!
-          echo "Copilot started with PID $COPILOT_PID"
-
-          # 记录上一次更新的内容，避免重复更新
-          last_content=""
-
-          # 循环检查，直到 Copilot 进程结束
-          while true; do
-            # 启动一个后台 sleep 进程
-            sleep 30 &
-            sleep_pid=$!
-        
-            # 等待两个进程中的任意一个结束
-            # - 如果 sleep 先结束，表示 30 秒已到，需要执行 curl
-            # - 如果 COPILOT_PID 先结束，表示监控进程已退出，循环结束
-            wait -n $COPILOT_PID $sleep_pid 2>/dev/null
-            wait_ret=$?
-        
-            # 检查哪个进程结束了
-            if ! kill -0 $COPILOT_PID 2>/dev/null; then
-                # 监控进程已结束，退出循环（清理后台 sleep 进程）
-                kill $sleep_pid 2>/dev/null
-                break
-            fi
-
-            if [ -f "$OUTPUT_FILE" ]; then
-              current_content=$(cat "$OUTPUT_FILE")
-              # 只有当内容变化且非空时才更新评论
-              if [ "$current_content" != "$last_content" ] && [ -n "$current_content" ]; then
-                # 构建评论正文：当前输出 + 分隔符 + 运行链接
-                {
-                  echo "${{ env.INITIAL_BODY }}"
-                  echo ""
-                  echo "---"
-                  echo ""
-                  echo "${{ env.DETAILS_BEGIN }}"
-                  echo "$current_content"
-                  echo "${{ env.DETAILS_END }}"
-                  echo ""
-                  echo "${{ env.ACTION_LINK }}"
-                } > "$BODY_FILE"
-
-                # 使用 jq 构造 JSON 并通过 API 更新评论
-                jq -n --arg body "$(cat "$BODY_FILE")" '{"body":$body}' | \
-                curl -s -L -X PATCH \
-                  -H "Authorization: token $GITHUB_TOKEN" \
-                  -H "Accept: application/vnd.github.v3+json" \
-                  "https://api.github.com/repos/$REPO/issues/comments/$COMMENT_ID" \
-                  -d @-
-
-                last_content="$current_content"
-                echo "Comment updated at $(date)"
-              fi
-            fi
-          done
-
-      - name: Full Analysis (完整分析结果)
-        shell: bash
-        run: |
-          cat copilot_output.log
-          echo ""
-          echo "---"
-          echo ""
-          cat copilot_answer.md
-
-      # 步骤 3：将分析结果与运行链接合并，准备最终评论内容（中文链接描述）
-      - name: Prepare final comment
-        run: |
-          # 复制分析结果到新文件
-          cp copilot_answer.md final_comment.md
-
-          echo "" >> final_comment.md
-          echo "---" >> final_comment.md
-          echo "" >> final_comment.md
-          echo "${{ env.DETAILS_BEGIN }}" >> final_comment.md
-          cat copilot_output.log >> final_comment.md
-          echo "${{ env.DETAILS_END }}" >> final_comment.md
-          echo "" >> final_comment.md
-          echo "${{ env.ACTION_LINK }}" >> final_comment.md
-
-      # 步骤 4：更新之前发布的评论，替换为分析结论 + 运行链接
-      - name: Update comment with analysis result
-        uses: peter-evans/create-or-update-comment@main
-        with:
-          comment-id: ${{ steps.initial_comment.outputs.comment-id }}
-          edit-mode: replace
-          body-path: final_comment.md
-          token: ${{ secrets.MAA_BOT_TOKEN }}
+          printf '%s\n' "$ANALYSIS_PROMPT"
+          echo "issue_number=$ISSUE_NUMBER"
+          echo "comment_id=$COMMENT_ID"
+          echo "comment_url=$COMMENT_URL"
+          printf '%s\n' "$COPILOT_OUTPUT"
+          printf '%s\n' "$FINAL_CONCLUSION"