{
  "project_name": "llm-codegen",
  "version": "1.0.0",
  "description": "一个基于大语言模型的智能代码生成与维护工具，支持自动生成、增量添加功能和自动修复Bug。",
  "files": [
    {
      "path": "pyproject.toml",
      "summary": "项目元数据、依赖配置和脚本入口",
      "dependencies": [],
      "functions": [],
      "classes": []
    },
    {
      "path": "src/llm_codegen/__init__.py",
      "summary": "包初始化文件",
      "dependencies": [],
      "functions": [],
      "classes": []
    },
    {
      "path": "src/llm_codegen/cli.py",
      "summary": "命令行接口，使用typer定义命令",
      "dependencies": ["src/llm_codegen/core.py", "src/llm_codegen/models.py"],
      "functions": [
        {
          "name": "",
          "summary": "",
          "inputs": [],
          "outputs": []
        }
      ],
      "classes": []
    },
    {
      "path": "src/llm_codegen/core.py",
      "summary": "核心生成逻辑，包含CodeGenerator类",
      "dependencies": ["src/llm_codegen/utils.py", "src/llm_codegen/diff_applier.py", "src/llm_codegen/models.py"],
      "functions": [
        {
          "name": "_call_llm",
          "summary": "调用LLM并返回解析后的JSON",
          "inputs": ["system_prompt", "user_prompt", "temperature", "expect_json"],
          "outputs": ["result"]
        },
        {
          "name": "parse_readme",
          "summary": "读取README文件内容",
          "inputs": ["readme_path"],
          "outputs": ["content"]
        },
        {
          "name": "get_project_structure",
          "summary": "根据README内容生成文件列表和依赖关系",
          "inputs": [],
          "outputs": ["files", "dependencies"]
        },
        {
          "name": "generate_file",
          "summary": "生成单个文件，返回代码、描述和命令列表",
          "inputs": ["file_path", "prompt_instruction", "dependency_files"],
          "outputs": ["code", "description", "commands"]
        },
        {
          "name": "execute_command",
          "summary": "执行单个命令，检查风险",
          "inputs": ["cmd", "cwd"],
          "outputs": []
        },
        {
          "name": "run",
          "summary": "主执行流程，控制整个生成过程",
          "inputs": ["readme_path"],
          "outputs": []
        }
      ],
      "classes": [
        {
          "name": "CodeGenerator",
          "summary": "代码生成器，封装所有逻辑",
          "methods": ["__init__", "_call_llm", "parse_readme", "get_project_structure", "generate_file", "execute_command", "run"]
        }
      ]
    },
    {
      "path": "src/llm_codegen/checker.py",
      "summary": "并行检查与修复模块，运行检查工具并收集错误",
      "dependencies": ["src/llm_codegen/core.py", "src/llm_codegen/models.py"],
      "functions": [],
      "classes": []
    },
    {
      "path": "src/llm_codegen/utils.py",
      "summary": "工具函数，如危险命令判断和文件操作",
      "dependencies": ["src/llm_codegen/models.py"],
      "functions": [
        {
          "name": "is_dangerous_command",
          "summary": "判断命令是否危险",
          "inputs": ["cmd"],
          "outputs": ["is_dangerous", "reason"]
        }
      ],
      "classes": []
    },
    {
      "path": "src/llm_codegen/diff_applier.py",
      "summary": "",
      "dependencies": ["src/llm_codegen/models.py"],
      "functions": [
        {
          "name": "",
          "summary": "",
          "inputs": [],
          "outputs": []
        }
      ],
      "classes": []
    },
    {
      "path": "src/llm_codegen/models.py",
      "summary": "数据模型，使用Pydantic定义数据结构",
      "dependencies": [],
      "functions": [],
      "classes": []
    },
    {
      "path": "tests/__init__.py",
      "summary": "测试包初始化",
      "dependencies": [],
      "functions": [],
      "classes": []
    },
    {
      "path": "tests/test_cli.py",
      "summary": "测试命令行接口",
      "dependencies": ["src/llm_codegen/cli.py"],
      "functions": [],
      "classes": []
    },
    {
      "path": "tests/test_core.py",
      "summary": "测试核心生成逻辑",
      "dependencies": ["src/llm_codegen/core.py"],
      "functions": [],
      "classes": []
    },
    {
      "path": "tests/test_checker.py",
      "summary": "测试检查模块",
      "dependencies": ["src/llm_codegen/checker.py"],
      "functions": [],
      "classes": []
    }
  ],
  "commands": [
    "pip install -e .",
    "pytest tests/"
  ],
  "check_tools": ["pytest", "pylint", "mypy", "black"]
}