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enesjakozh

AI Pull Request Generator

by Shougakusei
GitHub
Python
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AI 拉取请求生成器

一种使用 FastMCP 框架自动创建拉取请求和生成代码的人工智能工具。

特征

  • 使用人工智能（GPT-4）进行任务规划
  • 根据计划生成代码
  • 自动创建 GitHub 拉取请求
  • 与 FastMCP 框架集成

要求

  • Python 3.8+
  • 具有存储库访问权限的 GitHub 令牌
  • OpenAI API 密钥
  • 所需的 Python 包（请参阅 requirements.txt）

设置

  1. 安装依赖项：
pip install -r requirements.txt
  1. 设置环境变量：创建一个包含以下变量的.env文件：
GITHUB_TOKEN=your_github_token API_KEY=your_openai_api_key API_BASE=your_api_base_url

用法

该工具提供三个主要功能：

  1. 任务规划
await task_planning(task_file="path/to/task.txt", plan_file="path/to/plan.txt")
  1. 代码生成
await code_for_plan(plan_file="path/to/plan.txt", code_file="path/to/code.py")
  1. 创建拉取请求
await create_github_pull_request( repository="owner/repo", branch_name="feature-branch", file_path="path/to/file.py", file_content="your code", commit_message="feat: add new feature", title="Add new feature", body="Description of changes", base_branch="main" )

发展

该工具使用 FastMCP 框架进行通信，并作为服务器运行。要在本地运行，请执行以下操作：

python pull-request.py

执照

MIT 许可证

贡献

欢迎贡献！请随时提交拉取请求。

This server cannot be installed

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security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

由人工智能驱动的 FastMCP 服务器工具，可自动执行规划任务、生成代码和创建 GitHub 拉取请求的过程。

  1. 特征
    1. 要求
      1. 设置
        1. 用法
          1. 发展
            1. 执照
              1. 贡献

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