feat: 階段一 - 基本流程串接骨架
- 重寫 action.yaml：支援所有 LLM providers 的 inputs - 重寫 Dockerfile：python:3.11-slim + git - 重寫 entrypoint.sh：啟動 app/main.py - app/config.py：環境變數與 LLM 自動偵測 - app/llm.py：OpenAI-compatible 統一介面 - app/gitea.py：PR diff 取得與 comment 發布 - app/roles.py：從 prompts/roles/*.yaml 載入角色 - app/main.py：pipeline 骨架，log 每個主要階段 - app/prompts/roles/：五個角色定義（Aria/Rex/Zara/Leo/Maya）
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FROM alpine:latest
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FROM python:3.11-slim
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# 安裝必要的工具
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RUN apk add --no-cache --no-check-certificate bash
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RUN apt-get update && apt-get install -y --no-install-recommends \
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git \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /action
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COPY app/ /action/app/
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COPY entrypoint.sh /entrypoint.sh
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RUN chmod +x /entrypoint.sh
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RUN pip install --no-cache-dir -r /action/app/requirements.txt && \
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chmod +x /entrypoint.sh
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ENTRYPOINT ["/entrypoint.sh"]
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ENTRYPOINT ["/entrypoint.sh"]
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+152
-14
@@ -1,20 +1,158 @@
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name: 'Docker Action Template'
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description: 'Docker Action 範本'
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name: 'AI Code Review'
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description: 'AI 多角色 Code Review Action，自動分析 PR 並發布問題 Comment'
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author: 'Jeffery'
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inputs:
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runner_token:
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description: 'Gitea Runner Token'
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required: true
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text:
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description: '輸入的文字'
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default: "Hello, World!"
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outputs:
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text:
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description: '輸出的文字'
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# Gitea 相關（可從 gitea context 自動取得）
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GITEA_TOKEN:
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description: 'Gitea API Token'
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required: false
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GITEA_SERVER_URL:
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description: 'Gitea Server URL'
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required: false
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GITEA_REPOSITORY:
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description: 'Gitea Repository (owner/repo)'
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required: false
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PR_NUMBER:
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description: 'Pull Request Number'
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required: false
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PR_HEAD_BRANCH:
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description: 'PR 來源分支'
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required: false
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PR_BASE_BRANCH:
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description: 'PR 目標分支'
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required: false
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# OpenAI-compatible
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OPENAI_API_KEY:
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description: 'OpenAI / OpenRouter API Key'
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required: false
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OPENAI_BASE_URL:
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description: 'OpenAI-compatible Base URL'
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required: false
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OPENAI_MODEL:
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description: 'OpenAI-compatible Model Name'
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required: false
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# Anthropic Claude
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CLAUDE_API_KEY:
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description: 'Anthropic Claude API Key'
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required: false
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CLAUDE_BASE_URL:
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description: 'Claude Base URL'
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required: false
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CLAUDE_MODEL:
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description: 'Claude Model Name'
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required: false
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# Google Gemini
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GEMINI_API_KEY:
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description: 'Google Gemini API Key'
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required: false
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GEMINI_BASE_URL:
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description: 'Gemini Base URL'
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required: false
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GEMINI_MODEL:
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description: 'Gemini Model Name'
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required: false
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# Ollama
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OLLAMA_BASE_URL:
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description: 'Ollama Base URL'
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required: false
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OLLAMA_MODEL:
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description: 'Ollama Model Name'
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required: false
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# Amazon Q
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AMAZONQ_API_KEY:
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description: 'Amazon Q API Key'
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required: false
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AMAZONQ_BASE_URL:
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description: 'Amazon Q Base URL'
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required: false
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# SonarQube
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SONARQUBE_TOKEN:
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description: 'SonarQube Token'
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required: false
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SONARQUBE_URL:
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description: 'SonarQube URL'
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required: false
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# Kilo Code
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KILO_API_KEY:
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description: 'Kilo Code API Key'
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required: false
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KILO_BASE_URL:
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description: 'Kilo Code Base URL'
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required: false
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# Roo Code
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ROO_API_KEY:
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description: 'Roo Code API Key'
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required: false
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ROO_BASE_URL:
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description: 'Roo Code Base URL'
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required: false
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# Cline
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CLINE_API_KEY:
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description: 'Cline API Key'
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required: false
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CLINE_BASE_URL:
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description: 'Cline Base URL'
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required: false
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# Continue
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CONTINUE_API_KEY:
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description: 'Continue API Key'
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required: false
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CONTINUE_BASE_URL:
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description: 'Continue Base URL'
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required: false
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# Kade
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KADE_API_KEY:
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description: 'Kade API Key'
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required: false
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KADE_BASE_URL:
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description: 'Kade Base URL'
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required: false
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runs:
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using: 'docker'
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image: 'Dockerfile'
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env:
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GITEA_SERVER_URL: ${{ gitea.server_url }}
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GITEA_REPOSITORY: ${{ gitea.repository }}
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RUNNER_TOKEN: ${{ inputs.runner_token || secrets.GITEA_TOKEN || secrets.RUNNER_TOKEN }}
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# Gitea context（優先用 inputs，否則從 gitea context 取）
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GITEA_TOKEN: ${{ inputs.GITEA_TOKEN || secrets.GITEA_TOKEN }}
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GITEA_SERVER_URL: ${{ inputs.GITEA_SERVER_URL || gitea.server_url }}
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GITEA_REPOSITORY: ${{ inputs.GITEA_REPOSITORY || gitea.repository }}
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PR_NUMBER: ${{ inputs.PR_NUMBER || gitea.event.pull_request.number }}
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PR_HEAD_BRANCH: ${{ inputs.PR_HEAD_BRANCH || gitea.event.pull_request.head.ref }}
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PR_BASE_BRANCH: ${{ inputs.PR_BASE_BRANCH || gitea.event.pull_request.base.ref }}
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# LLM
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OPENAI_API_KEY: ${{ inputs.OPENAI_API_KEY }}
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OPENAI_BASE_URL: ${{ inputs.OPENAI_BASE_URL }}
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OPENAI_MODEL: ${{ inputs.OPENAI_MODEL }}
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CLAUDE_API_KEY: ${{ inputs.CLAUDE_API_KEY }}
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CLAUDE_BASE_URL: ${{ inputs.CLAUDE_BASE_URL }}
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CLAUDE_MODEL: ${{ inputs.CLAUDE_MODEL }}
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GEMINI_API_KEY: ${{ inputs.GEMINI_API_KEY }}
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GEMINI_BASE_URL: ${{ inputs.GEMINI_BASE_URL }}
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GEMINI_MODEL: ${{ inputs.GEMINI_MODEL }}
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OLLAMA_BASE_URL: ${{ inputs.OLLAMA_BASE_URL }}
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OLLAMA_MODEL: ${{ inputs.OLLAMA_MODEL }}
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AMAZONQ_API_KEY: ${{ inputs.AMAZONQ_API_KEY }}
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AMAZONQ_BASE_URL: ${{ inputs.AMAZONQ_BASE_URL }}
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SONARQUBE_TOKEN: ${{ inputs.SONARQUBE_TOKEN }}
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SONARQUBE_URL: ${{ inputs.SONARQUBE_URL }}
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KILO_API_KEY: ${{ inputs.KILO_API_KEY }}
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KILO_BASE_URL: ${{ inputs.KILO_BASE_URL }}
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ROO_API_KEY: ${{ inputs.ROO_API_KEY }}
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ROO_BASE_URL: ${{ inputs.ROO_BASE_URL }}
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CLINE_API_KEY: ${{ inputs.CLINE_API_KEY }}
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CLINE_BASE_URL: ${{ inputs.CLINE_BASE_URL }}
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CONTINUE_API_KEY: ${{ inputs.CONTINUE_API_KEY }}
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CONTINUE_BASE_URL: ${{ inputs.CONTINUE_BASE_URL }}
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KADE_API_KEY: ${{ inputs.KADE_API_KEY }}
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KADE_BASE_URL: ${{ inputs.KADE_BASE_URL }}
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@@ -0,0 +1,31 @@
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import os
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# Gitea
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GITEA_TOKEN = os.environ.get("GITEA_TOKEN", "")
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GITEA_SERVER_URL = os.environ.get("GITEA_SERVER_URL", "https://gitea.com")
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GITEA_REPOSITORY = os.environ.get("GITEA_REPOSITORY", "")
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PR_NUMBER = os.environ.get("PR_NUMBER", "")
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PR_HEAD_BRANCH = os.environ.get("PR_HEAD_BRANCH", "")
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PR_BASE_BRANCH = os.environ.get("PR_BASE_BRANCH", "")
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FINDINGS_PATH = ".gitea/ai-review/findings.json"
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def get_llm_config():
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"""依優先順序偵測可用的 LLM，回傳 (provider, api_key, base_url, model)"""
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checks = [
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("openai", os.environ.get("OPENAI_API_KEY"), os.environ.get("OPENAI_BASE_URL", "https://api.openai.com/v1"), os.environ.get("OPENAI_MODEL", "gpt-4o-mini")),
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("claude", os.environ.get("CLAUDE_API_KEY"), os.environ.get("CLAUDE_BASE_URL", "https://api.anthropic.com/v1"), os.environ.get("CLAUDE_MODEL", "claude-3-haiku-20240307")),
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("gemini", os.environ.get("GEMINI_API_KEY"), os.environ.get("GEMINI_BASE_URL", "https://generativelanguage.googleapis.com/v1beta"), os.environ.get("GEMINI_MODEL", "gemini-1.5-flash")),
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("ollama", "ollama", os.environ.get("OLLAMA_BASE_URL", ""), os.environ.get("OLLAMA_MODEL", "")),
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("amazonq", os.environ.get("AMAZONQ_API_KEY"), os.environ.get("AMAZONQ_BASE_URL", "https://q.api.aws"), os.environ.get("OPENAI_MODEL", "amazon-q")),
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("kilo", os.environ.get("KILO_API_KEY"), os.environ.get("KILO_BASE_URL", "https://api.kilocode.com/v1"), os.environ.get("OPENAI_MODEL", "kilo-default")),
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("roo", os.environ.get("ROO_API_KEY"), os.environ.get("ROO_BASE_URL", "https://api.roocode.com/v1"), os.environ.get("OPENAI_MODEL", "roo-default")),
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("cline", os.environ.get("CLINE_API_KEY"), os.environ.get("CLINE_BASE_URL", "https://api.cline.dev/v1"), os.environ.get("OPENAI_MODEL", "cline-default")),
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("continue", os.environ.get("CONTINUE_API_KEY"), os.environ.get("CONTINUE_BASE_URL", "https://api.continue.dev/v1"), os.environ.get("OPENAI_MODEL", "continue-default")),
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("kade", os.environ.get("KADE_API_KEY"), os.environ.get("KADE_BASE_URL", "https://api.kade.dev/v1"), os.environ.get("OPENAI_MODEL", "kade-default")),
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]
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for provider, key, base_url, model in checks:
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if key and base_url:
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return provider, key, base_url, model
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return None, None, None, None
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@@ -0,0 +1,26 @@
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import requests
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from config import GITEA_TOKEN, GITEA_SERVER_URL, GITEA_REPOSITORY, PR_NUMBER
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def _headers():
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return {"Authorization": f"token {GITEA_TOKEN}", "Content-Type": "application/json"}
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def _api(path: str) -> str:
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return f"{GITEA_SERVER_URL.rstrip('/')}/api/v1{path}"
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def get_pr_diff() -> str:
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"""取得 PR 的 git diff 內容"""
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url = _api(f"/repos/{GITEA_REPOSITORY}/pulls/{PR_NUMBER}.diff")
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resp = requests.get(url, headers=_headers(), timeout=60)
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resp.raise_for_status()
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return resp.text
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def post_comment(body: str) -> dict:
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"""在 PR 發布 comment"""
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url = _api(f"/repos/{GITEA_REPOSITORY}/issues/{PR_NUMBER}/comments")
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resp = requests.post(url, headers=_headers(), json={"body": body}, timeout=30)
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resp.raise_for_status()
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return resp.json()
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+50
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import json
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import requests
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from config import get_llm_config
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def chat(system_prompt: str, user_content: str) -> str:
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"""呼叫 LLM，回傳回應文字。失敗時拋出例外。"""
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provider, api_key, base_url, model = get_llm_config()
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if not provider:
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raise RuntimeError("未設定任何 LLM API Key")
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print(f" [LLM] provider={provider} model={model}")
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# 所有服務統一用 OpenAI-compatible chat completions 介面
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url = f"{base_url.rstrip('/')}/chat/completions"
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {api_key}",
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}
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# Claude 額外 header
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if provider == "claude":
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headers["anthropic-version"] = "2023-06-01"
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payload = {
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"model": model,
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"messages": [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": user_content},
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],
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"temperature": 0.2,
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}
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resp = requests.post(url, headers=headers, json=payload, timeout=120)
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resp.raise_for_status()
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return resp.json()["choices"][0]["message"]["content"]
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def chat_json(system_prompt: str, user_content: str) -> list:
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"""呼叫 LLM 並解析 JSON 陣列回應。失敗時回傳空陣列。"""
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try:
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text = chat(system_prompt, user_content)
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# 去除可能的 markdown code block
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text = text.strip()
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if text.startswith("```"):
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text = text.split("\n", 1)[1]
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text = text.rsplit("```", 1)[0]
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return json.loads(text)
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except Exception as e:
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print(f" [LLM] 解析失敗: {e}")
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return []
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+75
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import sys
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import traceback
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from config import GITEA_REPOSITORY, PR_NUMBER, PR_HEAD_BRANCH, PR_BASE_BRANCH, get_llm_config
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from roles import load_roles, get_role_intro
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from gitea import get_pr_diff, post_comment
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def main():
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print("=" * 60)
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print("🚀 Step1: Pipeline 啟動")
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print(f" repo={GITEA_REPOSITORY} PR=#{PR_NUMBER}")
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print(f" {PR_HEAD_BRANCH} -> {PR_BASE_BRANCH}")
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# 偵測 LLM
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provider, _, base_url, model = get_llm_config()
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if not provider:
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print("❌ 未設定任何 LLM API Key，請檢查 action inputs")
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sys.exit(1)
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print(f" LLM: provider={provider} model={model} base_url={base_url}")
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# 載入角色
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roles = load_roles()
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print(f" 已載入 {len(roles)} 個角色: {[r['name'] for r in roles]}")
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# 取得 PR diff
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print("\n📋 Step1: 取得 PR Diff")
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try:
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diff = get_pr_diff()
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print(f" diff 長度: {len(diff)} 字元")
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except Exception as e:
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print(f" ❌ 取得 diff 失敗: {e}")
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sys.exit(1)
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if not diff.strip():
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print(" ⚠️ diff 為空，無需審查")
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sys.exit(0)
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# 發布角色介紹 comment
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print("\n💬 Step1: 發布角色介紹 Comment")
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try:
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intro = get_role_intro(roles)
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intro += f"\n\n> 🔍 服務：{provider} 模型：{model}"
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post_comment(intro)
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print(" ✅ 角色介紹 comment 發布成功")
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except Exception as e:
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print(f" ⚠️ comment 發布失敗（繼續執行）: {e}")
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print("\n📊 Step2: Findings 產生（待實作）")
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print(" [stub] 各角色分析 diff...")
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print("\n🔀 Step3: Findings 合併與去重（待實作）")
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print(" [stub] 合併新舊 findings...")
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print("\n📝 Step4: Findings 寫入與 Comment 發布（待實作）")
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print(" [stub] 寫入 findings.json，發布 comment...")
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print("\n💾 Step5: 記憶區 Commit/Push（待實作）")
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print(" [stub] commit & push findings.json...")
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print("\n🚦 Step6: 嚴重問題檢查（待實作）")
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print(" [stub] 檢查 critical findings...")
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print("\n✅ Pipeline 完成")
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print("=" * 60)
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if __name__ == "__main__":
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try:
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main()
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except SystemExit:
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raise
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except Exception:
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print("❌ Runner failed:")
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traceback.print_exc()
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sys.exit(1)
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@@ -0,0 +1,23 @@
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name: "Leo"
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role: "可維護性審查員"
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personality: "有遠見、重視長期維護成本，常常思考「六個月後的自己能看懂嗎？」"
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focus: "程式碼複雜度、模組化、重複程式碼、文件完整性、錯誤處理、可測試性"
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system_prompt: |
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你是 Leo，一位重視長期維護成本的審查員。你的工作是審查程式碼的可維護性，包含複雜度、模組化、重複程式碼、文件完整性、錯誤處理。
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請分析以下 Git Diff，找出所有可維護性相關問題。
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回傳 JSON 陣列，每個問題格式如下：
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{
|
||||
"level": "critical|warning|info",
|
||||
"role": "Leo",
|
||||
"location": "檔案路徑:行號 或 檔案路徑",
|
||||
"suggestion": "繁體中文的具體修改建議"
|
||||
}
|
||||
|
||||
等級定義：
|
||||
- critical：嚴重影響可維護性，會造成技術債（如超長函式、完全無文件的公開 API）
|
||||
- warning：建議改善的可維護性問題
|
||||
- info：可選的改善建議
|
||||
|
||||
只回傳 JSON 陣列，不要有其他文字。如果沒有問題，回傳空陣列 []。
|
||||
@@ -0,0 +1,23 @@
|
||||
name: "Zara"
|
||||
role: "效能優化專家"
|
||||
personality: "追求極致效能，對任何不必要的資源消耗都感到不舒服，喜歡用數據說話"
|
||||
focus: "時間複雜度、空間複雜度、資料庫查詢效率、快取策略、不必要的重複運算"
|
||||
system_prompt: |
|
||||
你是 Zara，一位追求極致效能的優化專家。你的工作是審查程式碼的效能問題，包含時間複雜度、空間複雜度、資料庫查詢效率、快取策略。
|
||||
|
||||
請分析以下 Git Diff，找出所有效能相關問題。
|
||||
|
||||
回傳 JSON 陣列，每個問題格式如下：
|
||||
{
|
||||
"level": "critical|warning|info",
|
||||
"role": "Zara",
|
||||
"location": "檔案路徑:行號 或 檔案路徑",
|
||||
"suggestion": "繁體中文的具體修改建議"
|
||||
}
|
||||
|
||||
等級定義：
|
||||
- critical：會造成明顯效能瓶頸或系統崩潰的問題（如 N+1 query、無限迴圈風險）
|
||||
- warning：值得優化的效能問題
|
||||
- info：效能最佳實踐建議
|
||||
|
||||
只回傳 JSON 陣列，不要有其他文字。如果沒有問題，回傳空陣列 []。
|
||||
@@ -0,0 +1,23 @@
|
||||
name: "Rex"
|
||||
role: "資安審查員"
|
||||
personality: "謹慎、多疑、對任何潛在風險都保持高度警覺，寧可誤報也不放過漏洞"
|
||||
focus: "安全漏洞、注入攻擊、敏感資料洩漏、認證授權問題、依賴套件風險"
|
||||
system_prompt: |
|
||||
你是 Rex，一位謹慎的資安審查員。你的工作是審查程式碼中的安全漏洞、注入攻擊風險、敏感資料洩漏、認證授權問題。
|
||||
|
||||
請分析以下 Git Diff，找出所有安全相關問題。
|
||||
|
||||
回傳 JSON 陣列，每個問題格式如下：
|
||||
{
|
||||
"level": "critical|warning|info",
|
||||
"role": "Rex",
|
||||
"location": "檔案路徑:行號 或 檔案路徑",
|
||||
"suggestion": "繁體中文的具體修改建議"
|
||||
}
|
||||
|
||||
等級定義：
|
||||
- critical：可被直接利用的安全漏洞（如 SQL injection、hardcoded secret、RCE）
|
||||
- warning：潛在安全風險，需要關注
|
||||
- info：安全最佳實踐建議
|
||||
|
||||
只回傳 JSON 陣列，不要有其他文字。如果沒有問題，回傳空陣列 []。
|
||||
@@ -0,0 +1,23 @@
|
||||
name: "Aria"
|
||||
role: "程式碼風格審查員"
|
||||
personality: "嚴謹、注重細節、對程式碼整潔度有高度要求，說話直接但不失禮貌"
|
||||
focus: "程式碼風格、命名規範、格式一致性、可讀性"
|
||||
system_prompt: |
|
||||
你是 Aria，一位嚴謹的程式碼風格審查員。你的工作是審查程式碼的風格、命名規範、格式一致性與可讀性。
|
||||
|
||||
請分析以下 Git Diff，找出所有風格相關問題。
|
||||
|
||||
回傳 JSON 陣列，每個問題格式如下：
|
||||
{
|
||||
"level": "critical|warning|info",
|
||||
"role": "Aria",
|
||||
"location": "檔案路徑:行號 或 檔案路徑",
|
||||
"suggestion": "繁體中文的具體修改建議"
|
||||
}
|
||||
|
||||
等級定義：
|
||||
- critical：嚴重違反規範，會影響團隊協作或工具運作
|
||||
- warning：建議修正的風格問題
|
||||
- info：可選的改善建議
|
||||
|
||||
只回傳 JSON 陣列，不要有其他文字。如果沒有問題，回傳空陣列 []。
|
||||
@@ -0,0 +1,23 @@
|
||||
name: "Maya"
|
||||
role: "測試品質審查員"
|
||||
personality: "對測試覆蓋率有執念，相信沒有測試的程式碼等於沒有完成，溫和但堅持"
|
||||
focus: "測試覆蓋率、測試品質、邊界條件、錯誤情境測試、測試可讀性"
|
||||
system_prompt: |
|
||||
你是 Maya，一位對測試品質有高度要求的審查員。你的工作是審查程式碼的測試覆蓋率、測試品質、邊界條件處理。
|
||||
|
||||
請分析以下 Git Diff，找出所有測試相關問題。
|
||||
|
||||
回傳 JSON 陣列，每個問題格式如下：
|
||||
{
|
||||
"level": "critical|warning|info",
|
||||
"role": "Maya",
|
||||
"location": "檔案路徑:行號 或 檔案路徑",
|
||||
"suggestion": "繁體中文的具體修改建議"
|
||||
}
|
||||
|
||||
等級定義：
|
||||
- critical：完全缺少測試的核心功能，或測試邏輯有嚴重錯誤
|
||||
- warning：測試覆蓋不足或測試品質有待改善
|
||||
- info：測試最佳實踐建議
|
||||
|
||||
只回傳 JSON 陣列，不要有其他文字。如果沒有問題，回傳空陣列 []。
|
||||
@@ -0,0 +1,3 @@
|
||||
requests==2.31.0
|
||||
pyyaml==6.0.1
|
||||
openai==1.12.0
|
||||
@@ -0,0 +1,22 @@
|
||||
import os
|
||||
import yaml
|
||||
|
||||
ROLES_DIR = "/action/app/prompts/roles"
|
||||
|
||||
|
||||
def load_roles() -> list[dict]:
|
||||
"""載入所有角色定義"""
|
||||
roles = []
|
||||
for fname in sorted(os.listdir(ROLES_DIR)):
|
||||
if fname.endswith(".yaml"):
|
||||
with open(os.path.join(ROLES_DIR, fname), "r", encoding="utf-8") as f:
|
||||
roles.append(yaml.safe_load(f))
|
||||
return roles
|
||||
|
||||
|
||||
def get_role_intro(roles: list[dict]) -> str:
|
||||
"""產生角色介紹文字（用於 comment）"""
|
||||
lines = ["## 🤖 AI Code Review 團隊", ""]
|
||||
for r in roles:
|
||||
lines.append(f"- **{r['name']}** ({r['role']}): {r['personality']}")
|
||||
return "\n".join(lines)
|
||||
+5
-8
@@ -1,11 +1,8 @@
|
||||
#!/bin/bash
|
||||
set -e
|
||||
|
||||
echo "Gitea Server Url: $GITEA_SERVER_URL"
|
||||
echo "🚀 AI Code Review Action 啟動"
|
||||
echo "Repository: $GITEA_REPOSITORY"
|
||||
echo "PR: #$PR_NUMBER ($PR_HEAD_BRANCH -> $PR_BASE_BRANCH)"
|
||||
|
||||
echo "Gitea Repository: $GITEA_REPOSITORY"
|
||||
|
||||
echo "Gitea Runner Token: $RUNNER_TOKEN"
|
||||
|
||||
echo "Input Text: $INPUT_TEXT"
|
||||
|
||||
echo "text=$INPUT_TEXT" >> "$GITHUB_OUTPUT"
|
||||
exec python /action/app/main.py
|
||||
|
||||
Reference in New Issue
Block a user