name: "AI Code Review"

# 当有人发起 Pull Request (PR) 或者向 PR 提交新代码时，触发此工作流
on:
  pull_request:
    types: [opened, synchronize]

jobs:
  review_with_skill:
    runs-on: ubuntu-latest
    steps:
      # 1. 把你仓库里的代码（包括 .claude 里的规则文件）下载到运行服务器上
      - name: Checkout Code & Skills
        uses: actions/checkout@v4
        with:
          fetch-depth: 0

      # 2. 运行 AI 审查脚本
      - name: Run Review Engine
        env:
          # 引入我们在第二步配置的 API Key
          API_KEY: ${{ secrets.LLM_API_KEY }} 
          # Gitea 自动生成的 Token，用于给机器人发评论权限，无需手动配置
          GITEA_TOKEN: ${{ gitea.token }} 
          # 传递 Gitea 的相关环境变量给 Python 脚本
          GITEA_SERVER_URL: ${{ gitea.server_url }}
          GITEA_REPOSITORY: ${{ gitea.repository }}
          GITEA_PR_NUMBER: ${{ gitea.event.number }}
          GITEA_BASE_REF: ${{ gitea.base_ref }}
          GITEA_HEAD_REF: ${{ gitea.head_ref }}
        run: |
          # 提取当前 PR 的代码变动并保存到 diff.txt
          git diff origin/$GITEA_BASE_REF...origin/$GITEA_HEAD_REF > diff.txt
          
          # 使用 Python 执行审查
          python3 -c "
          import os, json, urllib.request, urllib.error
          
          # 1. 读取你提交的 Skill 规则书
          skill_base_path = '.claude/skills/code-review-skill/'
          try:
              skill_config = open(os.path.join(skill_base_path, 'SKILL.md')).read()
              python_rules = open(os.path.join(skill_base_path, 'reference/python.md')).read()
          except FileNotFoundError as e:
              print(f'未找到规则文件: {e}'); exit(1)
          
          # 组合成完整的 AI 提示词（System Prompt）
          full_skill_prompt = f'{skill_config}\n\n以下是针对当前语言的补充规范：\n{python_rules}'
          
          # 读取代码变动
          diff_data = open('diff.txt').read()
          if not diff_data.strip(): 
              print('没有检测到代码变更，跳过审查。'); exit(0)
              
          # 2. 呼叫大模型 (这里以 DeepSeek 为例，已修正为官方标准 API 接口)
          api_url = 'https://api.deepseek.com/v1/chat/completions' 
          headers = {
              'Authorization': f'Bearer {os.getenv(\"API_KEY\")}',
              'Content-Type': 'application/json'
          }
          payload = {
              'model': 'deepseek-chat', # 或者使用 deepseek-coder
              'messages': [
                  {'role': 'system', 'content': full_skill_prompt}, 
                  {'role': 'user', 'content': f'请严格对照上述 Skill 规范，评审以下 FastAPI 代码改动，并用中文输出评审意见：\n\n{diff_data}'}
              ],
              'temperature': 0.2
          }
          
          req = urllib.request.Request(api_url, data=json.dumps(payload).encode('utf-8'), headers=headers, method='POST')
          try:
              with urllib.request.urlopen(req) as response:
                  res = json.loads(response.read().decode('utf-8'))
              comment_body = res['choices'][0]['message']['content']
          except Exception as e:
              print(f'请求大模型失败: {e}'); exit(1)
          
          # 3. 将 AI 审查意见发表到 Gitea 的 Pull Request 评论区
          gitea_url = f'{os.getenv(\"GITEA_SERVER_URL\")}/api/v1/repos/{os.getenv(\"GITEA_REPOSITORY\")}/issues/{os.getenv(\"GITEA_PR_NUMBER\")}/comments'
          gitea_headers = {
              'Authorization': f'token {os.getenv(\"GITEA_TOKEN\")}',
              'Content-Type': 'application/json'
          }
          gitea_payload = {'body': f'### 🤖 AI 自动化审查报告 (基于 Code Review Skill)\n\n{comment_body}'}
          
          gitea_req = urllib.request.Request(gitea_url, data=json.dumps(gitea_payload).encode('utf-8'), headers=gitea_headers, method='POST')
          try:
              urllib.request.urlopen(gitea_req)
              print('Skill 审查报告已成功发表！')
          except Exception as e:
              print(f'发表评论失败: {e}'); exit(1)
          "