MetaGPT实战案例：从游戏开发到企业应用-优快云博客

MetaGPT实战案例：从游戏开发到企业应用

【免费下载链接】MetaGPT 🌟 多智能体框架：基于一行需求描述，生成产品需求文档（PRD）、设计、任务列表及代码仓库。项目地址: https://gitcode.com/GitHub_Trending/me/MetaGPT

MetaGPT作为一款多智能体框架，能够基于一行需求描述，生成产品需求文档（PRD）、设计、任务列表及代码仓库。本文将通过游戏开发和企业应用两个场景，详细介绍MetaGPT的实战应用。

游戏开发实战

2048游戏开发

MetaGPT提供了便捷的游戏开发能力，以2048游戏为例，通过examples/write_game_code.py可以快速实现游戏的开发。该脚本创建了MGXEnv环境，并添加了TeamLeader和Engineer2角色，通过简单的需求描述即可生成游戏代码。

async def main(requirement="", user_defined_recipient="", enable_human_input=False, allow_idle_time=30):
    env = MGXEnv()
    env.add_roles([TeamLeader(), Engineer2()])

    msg = Message(content=requirement)
    env.attach_images(msg)  # attach image content if applicable

    if user_defined_recipient:
        msg.send_to = {user_defined_recipient}
        env.publish_message(msg, user_defined_recipient=user_defined_recipient)
    else:
        env.publish_message(msg)

    allow_idle_time = allow_idle_time if enable_human_input else 1
    start_time = time.time()
    while time.time() - start_time < allow_idle_time:
        if not env.is_idle:
            await env.run()
            start_time = time.time()  # reset start time

贪吃蛇游戏开发

除了2048游戏，MetaGPT还支持贪吃蛇等其他游戏的开发。通过examples/di/software_company.py，可以实现从需求分析到代码生成、测试和提交的全流程。该脚本使用DataInterpreter角色，集成了WritePRD、WriteDesign、WritePlan、WriteCode、RunCode和DebugError等工具。

async def main():
    prompt = """
This is a software requirement:
```text
write a snake game

Writes a PRD based on software requirements.
Writes a design to the project repository, based on the PRD of the project.
Writes a project plan to the project repository, based on the design of the project.
Writes codes to the project repository, based on the project plan of the project.
Run QA test on the project repository.
Stage and commit changes for the project repository using Git. Note: All required dependencies and environments have been fully installed and configured. """ di = DataInterpreter( tools=[ "WritePRD", "WriteDesign", "WritePlan", "WriteCode", "RunCode", "DebugError", # "git_archive", ] )

await di.run(prompt)


## 企业应用实战

### 数据分析与可视化

MetaGPT在企业应用中也有广泛的应用，特别是在数据分析和可视化方面。通过[examples/di/data_analyst_write_code.py](https://link.gitcode.com/i/2a3ce05dc57e0b35791e5585b33c2e81)，可以实现数据分析师角色的模拟，生成数据分析代码。

```python
async def main():
    # Create an instance of DataAnalyst role
    analyst = DataAnalyst()

    # Set the main goal for the planner - constructing a 2D array
    analyst.planner.plan.goal = "construct a two-dimensional array"

    # Add a specific task to the planner with detailed parameters:
    # - task_id: Unique identifier for the task
    # - dependent_task_ids: List of tasks that need to be completed before this one (empty in this case)
    # - instruction: Description of what needs to be done
    # - assignee: Who will execute the task (David)
    # - task_type: Category of the task (DATA_ANALYSIS)
    analyst.planner.plan.append_task(
        task_id="1",
        dependent_task_ids=[],
        instruction="construct a two-dimensional array",
        assignee="David",
        task_type="DATA_ANALYSIS",
    )

    # Execute the code generation and execution for creating a 2D array
    # The write_and_exec_code method will:
    # 1. Generate the necessary code for creating a 2D array
    # 2. Execute the generated code
    # 3. Return the result
    result = await analyst.write_and_exec_code("construct a two-dimensional array")

    # Log the result of the code execution
    logger.info(result)

同时，examples/di/data_visualization.py提供了数据可视化的能力，可以对数据集进行分析并生成可视化图表。

企业级应用开发框架

MetaGPT还提供了企业级应用开发的框架，通过metagpt/software_company.py可以实现完整的团队协作开发流程。该脚本定义了TeamLeader、ProductManager、Architect、Engineer2和DataAnalyst等角色，能够模拟软件公司的开发流程，从需求分析到代码实现。

def generate_repo(
    idea,
    investment=3.0,
    n_round=5,
    code_review=True,
    run_tests=False,
    implement=True,
    project_name="",
    inc=False,
    project_path="",
    reqa_file="",
    max_auto_summarize_code=0,
    recover_path=None,
):
    """Run the startup logic. Can be called from CLI or other Python scripts."""
    from metagpt.config2 import config
    from metagpt.context import Context
    from metagpt.roles import (
        Architect,
        DataAnalyst,
        Engineer2,
        ProductManager,
        TeamLeader,
    )
    from metagpt.team import Team

    config.update_via_cli(project_path, project_name, inc, reqa_file, max_auto_summarize_code)
    ctx = Context(config=config)

    if not recover_path:
        company = Team(context=ctx)
        company.hire(
            [
                TeamLeader(),
                ProductManager(),
                Architect(),
                Engineer2(),
                # ProjectManager(),
                DataAnalyst(),
            ]
        )

        # if implement or code_review:
        #     company.hire([Engineer(n_borg=5, use_code_review=code_review)])
        #
        # if run_tests:
        #     company.hire([QaEngineer()])
        #     if n_round < 8:
        #         n_round = 8  # If `--run-tests` is enabled, at least 8 rounds are required to run all QA actions.
    else:
        stg_path = Path(recover_path)
        if not stg_path.exists() or not str(stg_path).endswith("team"):
            raise FileNotFoundError(f"{recover_path} not exists or not endswith `team`")

        company = Team.deserialize(stg_path=stg_path, context=ctx)
        idea = company.idea

    company.invest(investment)
    asyncio.run(company.run(n_round=n_round, idea=idea))

    return ctx.kwargs.get("project_path")

总结

MetaGPT作为一款强大的多智能体框架，无论是游戏开发还是企业应用，都能够提供高效、便捷的解决方案。通过本文介绍的实战案例，我们可以看到MetaGPT在不同场景下的应用能力，相信在未来会有更广泛的应用前景。官方文档：docs/tutorial/usage_cn.md。

创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考