MetaGPT 忽略用户需求，转而产出game.py

忽略用户需求，转而产出game.py

Open 1010936691 opened this issue 1 year ago • 2 comments

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Bug description 提出一个中等复杂的需求，无法产出对应需求，metagpt中间出现错误（warning或者error）后会转向输出game.py,main.py。

Bug solved method

我个人认为可能比较有用的信息：

C:\project\MetaGPT\workspace\video_search\resources\data_api_design\20240221092626
信息: 用提供的模式无法找到文件。
2024-02-21 09:26:26.482 | WARNING | metagpt.utils.git_repository:rename_root:214 - Move C:\project\MetaGPT\workspace\20240221092607 to C:\project\MetaGPT\workspace\video_search error: [WinError 32] 另一个程序正在使用此文件，进程无法访问。: 'C:\project\MetaGPT\workspace\20240221092607'（这个问题我用管理者模式启动pycharm或者删除生成的项目文件夹也不能避免，不过不是每次都会出现，在我初次调用是成功过一次，后面就再也没成功过了）

Environment information

LLM type and model name:gemini
System version:win10+metagpt 0.7
Python version:3.11.8

packages version:按照requirements安装
installation method:git clone,然后以开发者模式install

Screenshots or logs (MetaGPT_ENV) PS C:\project\MetaGPT> metagpt "Please help me complete a project, which is divided into front-end and back-end. The front-end uses the Vue framework, and the back-end uses java+springboo t+springmvc+mybatis plus+mysql. Please carefully analyze the requirements and implement each function. The project requirements are as follows：{'Video Search ': {'Background Management End': {'Persona l Center ': {'Login': {'Method ':' User Name+Password Login '},' Password Management ': {'Function ': ['Forgot Password ',' Send Verification Code to Modify via Email ',' Change Password '},' Logout ': {}},' Permission Management System ': {'General Permission Management System': {}}, 'Attendance Ma nagement': {'Attendance Personnel Management ': {'Function': 'Add, Delete, Change'}, 'Attendance Reco rds': {},' Attendance Machine Management ': {'Function': ['On ',' Off ']}, 'Personnel Search': {'Onl ine Personnel Monitoring ': {'Function': ['Single person monitoring ',' Multi person monitoring ',' View historical images']}, 'Offline Search': {'Function ':' Access videos and personnel images, batch search for the location of personnel in the video '},' Priority Implementation ': 2},' Congestion Monitoring ': {'Online Video': {'Function ': ['Monitor traffic lights',' Monitor intersection vehicle conditions']}, 'Notification': {'Method ': ['Email', 'Topic', 'SMS',' Notification Strategy ']}, ' Call algorithm platform interface': {}}, 'Big screen, cockpit': {}, 'Data access': {' Bottom layer data access': {'Collected by': 'edge computing', 'Data': {'Video data': {'Type': 'Real time data'}, ' Other data': {}}}, 'Big data': {}}}" 2024-02-21 09:26:00.055 | INFO | metagpt.const:get_metagpt_package_root:29 - Package root set to c:\project\metagpt 2024-02-21 09:26:07.075 | INFO | metagpt.team:invest:90 - Investment: $3.0. 2024-02-21 09:26:07.084 | INFO | metagpt.roles.role:_act:399 - Alice(Product Manager): to do PrepareDocuments(PrepareDocuments) 2024-02-21 09:26:07.512 | INFO | metagpt.utils.file_repository:save:60 - save to: C:\project\MetaGPT\workspace\20240221092607\docs\requirement.txt 2024-02-21 09:26:07.520 | INFO | metagpt.roles.role:_act:399 - Alice(Product Manager): to do WritePRD(WritePRD) 2024-02-21 09:26:07.527 | INFO | metagpt.actions.write_prd:run:86 - New requirement detected: Please help me complete a project, which is divided into front-end and back-end. The front-end uses the Vue framework, and the back-end uses java+springboot+springmvc+mybatis plus+mysql. Please carefully analyze the requirements and implement each function. The project requirements are as follows：{'Vid eo Search ': {'Background Management End': {'Personal Center ': {'Login': {'Method ':' User Name+Password Login '},' Password Management ': {'Function ': ['Forgot Password ',' Send Verification Code to Modify via Email ',' Change Password '},' Logout ': {}},' Permission Management System ': {'General Permission Management System': {}}, 'Attendance Ma nagement': {'Attendance Personnel Management ': { 'Function': 'Add, Delete, Change'}, 'Attendance Records': {},' Attendance Machine Management ': {'Function': ['On ',' Off ']}, 'Personnel Search': {'Onl ine Personnel Monitoring ': {'Function': ['Singl e person monitoring ',' Multi person monitoring ',' View historical images']}, 'Offline Search': {'Function ':' Access videos and personnel images, batch search for the location of personnel in the vi deo '},' Priority Implementation ': 2},' Congestion Monitoring ': {'Online Video': {'Function ': ['Monitor traffic lights',' Monitor intersection vehicle conditions']}, 'Notification': {'Method ': ['E mail', 'Topic', 'SMS',' Notification Strategy ']}, 'Call algorithm platform interface': {}}, 'Big screen, cockpit': {}, 'Data access': {' Bottom layer data access': {'Collected by': 'edge computing', 'Data': {'Video data': {'Type': 'Real time data'}, 'Other data': {}}}, 'Big data': {}}} [CONTENT] { "Language": "en_us", "Programming Language": "Java", "Original Requirements": "Please help me complete a project, which is divided into front-end and back-end. The front-end uses the Vue framework, and the back-end uses java+springboot+springmvc+myba tis plus+mysql. Please carefully analyze the requirements and implement each function. The project requirements are as follows：{'Video Search ': {'Background Management End': {'Personal Center ': {'Lo gin': {'Method ':' User Name+Password Login '},' Password Management ': {'Function ': ['Forgot Password ',' Send Verification Code to Modify via Email ',' Change Password '},' Logout ': {}},' Permissio n Management System ': {'General Permission Management System': {}}, 'Attendance Ma nagement': {'Attendance Personnel Management ': {'Function': 'Add, Delete, Change'}, 'Attendance Records': {},' Atten dance Machine Management ': {'Function': ['On ',' Off ']}, 'Personnel Search': {'Onl ine Personnel Monitoring ': {'Function': ['Single person monitoring ',' Multi person monitoring ',' View historical images']}, 'Offline Search': {'Function ':' Access videos and personnel images, batch search for the location of personnel in the video '},' Priority Implementation ': 2},' Congestion Monitoring ': {' Online Video': {'Function ': ['Monitor traffic lights',' Monitor intersection vehicle conditions']}, 'Notification': {'Method ': ['Email', 'Topic', 'SMS',' Notification Strategy ']}, 'Call algorithm p latform interface': {}}, 'Big screen, cockpit': {}, 'Data access': {' Bottom layer data access': {'Collected by': 'edge computing', 'Data': {'Video data': {'Type': 'Real time data'}, 'Other data': {}} }, 'Big data': {}}}", "Project Name": "video_search", "Product Goals": [ "Provide a comprehensive video search solution", "Enhance security and access control", "Improve operational efficiency" ], "User Stories": [ "As a user, I want to be able to search for videos by multiple criteria", "As a user, I want to be able to manage my personal information and permissions", "As a user, I want to be able to monitor personnel and traffic conditions in real-time", "As a user, I want to be able to receive notifications when there are important events", "As a user, I want to be able to access data from multiple sources" ], "Competitive Analysis": [ "Product A: Provides basic video search functionality, but lacks advanced features", "Product B: Offers more advanced features, but is more expensive and complex to use", "Product C: Focuses on security and access control, but has limited video search capabilities" ], "Competitive Quadrant Chart": "quadrantChart\n title "Reach and engagement of campaigns"\n x-axis "Low Reach" --> "High Reach"\n y-axis "Low Engagement" --> "High Engagement"\n
quadrant-1 "We should expand"\n quadrant-2 "Need to promote"\n quadrant-3 "Re-evaluate"\n quadrant-4 "May be improved"\n "Campaign A": [0.3, 0.6]\n "Campaign B": [0.45, 0.2 3]\n "Campaign C": [0.57, 0.69]\n "Campaign D": [0.78, 0.34]\n "Campaign E": [0.40, 0.34]\n "Campaign F": [0.35, 0.78]\n "Our Target Product": [0.5, 0.6]", "Requirement Analysis": "The project requirements are comprehensive and cover a wide range of functionality. The system should be able to search for videos by multiple criteria, manage user permiss ions, monitor personnel and traffic conditions in real-time, send notifications, and access data from multiple sources. The system should also be secure and easy to use.", "Requirement Pool": [ [ "P0", "Implement basic video search functionality" ], [ "P1", "Implement advanced video search features" ], [ "P2", "Implement user management and permission control" ], [ "P3", "Implement real-time monitoring of personnel and traffic conditions" ], [ "P4", "Implement notification system" ], [ "P5", "Implement data access from multiple sources" ] ], "UI Design draft": "The UI should be clean and easy to use. The main features should be easily accessible from the home page. The search bar should be prominent and allow users to search for videos by multiple criteria. The results page should display the videos in a clear and concise manner. The user management and permission control pages should be easy to navigate and allow administrators to manage users and permissions effectively. The real-time monitoring page should display the personnel and traffic conditions in a clear and concise manner. The notification system should be easy to conf igure and use.", "Anything UNCLEAR": "There are no unclear aspects of the project requirements." } [/CONTENT] 2024-02-21 09:26:26.258 | INFO | metagpt.utils.cost_manager:update_cost:52 - Total running cost: $0.001 | Max budget: $10.000 | Current cost: $0.001, prompt_tokens: 1312, completion_tokens: 1155 2024-02-21 09:26:26.272 | INFO | metagpt.utils.git_repository:rename_root:203 - Delete directory C:\project\MetaGPT\workspace\video_search 2024-02-21 09:26:26.482 | WARNING | metagpt.utils.git_repository:rename_root:214 - Move C:\project\MetaGPT\workspace\20240221092607 to C:\project\MetaGPT\workspace\video_search error: [WinError 32] 另一个程序正在使用此文件，进程无法访问。: 'C:\project\MetaGPT\workspace\20240221092607' 2024-02-21 09:26:26.483 | INFO | metagpt.utils.git_repository:rename_root:219 - Rename directory C:\project\MetaGPT\workspace\20240221092607 to C:\project\MetaGPT\workspace\video_search 2024-02-21 09:26:26.847 | INFO | metagpt.utils.file_repository:save:60 - save to: C:\project\MetaGPT\workspace\video_search\docs\prd\20240221092626.json 信息: 用提供的模式无法找到文件。 2024-02-21 09:26:27.039 | WARNING | metagpt.utils.mermaid:mermaid_to_file:39 - RUN npm install -g @mermaid-js/mermaid-cli to install mmdc,or consider changing engine to playwright, pyppeteer, or ink. 2024-02-21 09:26:27.044 | INFO | metagpt.utils.file_repository:save:60 - save to: C:\project\MetaGPT\workspace\video_search\resources\prd\20240221092626.md 2024-02-21 09:26:27.050 | INFO | metagpt.roles.role:_act:399 - Bob(Architect): to do WriteDesign(WriteDesign) [CONTENT] { "Implementation approach": "We will use the Vue framework for the front-end and the Java+springboot+springmvc+mybatis plus+mysql stack for the back-end. We will use a modular approach to developmen t, with each module responsible for a specific set of functionality. This will make it easier to maintain and update the system in the future.", "File list": [ "main.py", "game.py" ], "Data structures and interfaces": "\nclassDiagram\n class User {\n - username: str\n - password: str\n - email: str\n - permissions: list\n +login()\n + logout()\n +change_password()\n +reset_password()\n }\n class Permission {\n - name: str\n - description: str\n +check()\n }\n class Role {\n - nam e: str\n - description: str\n - permissions: list\n +assign()\n +revoke()\n }\n class Attendance {\n - date: date\n - time: time\n - location: str \n - employee: User\n +check_in()\n +check_out()\n }\n class Congestion {\n - date: date\n - time: time\n - location: str\n - severity: int\n
+report()\n }\n class Notification {\n - type: str\n - message: str\n - recipient: User\n +send()\n }\n class Video {\n - id: int\n - title: str \n - description: str\n - url: str\n - tags: list\n +search()\n +view()\n +download()\n }\n class SearchEngine {\n - index: Index\n - ranki ng: Ranking\n - summary: Summary\n +search(query: str) list\n }\n class Index {\n - data: dict\n +create_index(data: dict)\n +query_index(query: str) list\n
}\n class Ranking {\n +rank_results(results: list) list\n }\n class Summary {\n +summarize_results(results: list) str\n }\n User --> Attendance\n User --> Congestion\n
User --> Notification\n User --> Video\n SearchEngine --> Index\n SearchEngine --> Ranking\n SearchEngine --> Summary\n", "Program call flow": "\nsequenceDiagram\n participant M as Main\n participant SE as SearchEngine\n participant I as Index\n participant R as Ranking\n participant S as Summary\n M ->>SE: search(query)\n SE->>I: query_index(query)\n I->>SE: return results\n SE->>R: rank_results(results)\n R-->>SE: return ranked_results\n SE->>S: summarize_results(ranked_results)\n S-->>SE: return summary\n SE-->>M: return summary\n", "Anything UNCLEAR": "Clarification needed on third-party API integration, ..." } [/CONTENT] 2024-02-21 09:26:49.444 | INFO | metagpt.utils.cost_manager:update_cost:52 - Total running cost: $0.001 | Max budget: $10.000 | Current cost: $0.001, prompt_tokens: 1741, completion_tokens: 766 2024-02-21 09:26:49.453 | INFO | metagpt.utils.file_repository:save:60 - save to: C:\project\MetaGPT\workspace\video_search\docs\system_design\20240221092626.json 2024-02-21 09:26:49.458 | INFO | metagpt.utils.file_repository:save:65 - update dependency: C:\project\MetaGPT\workspace\video_search\docs\system_design\20240221092626.json:{'docs\prd\20240221092 626.json'} 信息: 用提供的模式无法找到文件。 2024-02-21 09:26:49.627 | WARNING | metagpt.utils.mermaid:mermaid_to_file:39 - RUN npm install -g @mermaid-js/mermaid-cli to install mmdc,or consider changing engine to playwright, pyppeteer, or ink. 2024-02-21 09:26:49.629 | INFO | metagpt.actions.design_api:_save_data_api_design:107 - Save class view to C:\project\MetaGPT\workspace\video_search\resources\data_api_design\20240221092626
信息: 用提供的模式无法找到文件。 2024-02-21 09:26:49.808 | WARNING | metagpt.utils.mermaid:mermaid_to_file:39 - RUN npm install -g @mermaid-js/mermaid-cli to install mmdc,or consider changing engine to playwright, pyppeteer, or ink. 2024-02-21 09:26:49.811 | INFO | metagpt.actions.design_api:_save_seq_flow:116 - Saving sequence flow to C:\project\MetaGPT\workspace\video_search\resources\seq_flow\20240221092626 2024-02-21 09:26:49.816 | INFO | metagpt.utils.file_repository:save:60 - save to: C:\project\MetaGPT\workspace\video_search\resources\system_design\20240221092626.md 2024-02-21 09:26:49.820 | INFO | metagpt.roles.role:_act:399 - Eve(Project Manager): to do WriteTasks(WriteTasks) [CONTENT] { "Required Python packages": [ "flask==1.1.2", "bcrypt==3.2.0" ], "Required Other language third-party packages": [ "No third-party dependencies required" ], "Logic Analysis": [ [ "game.py", "Contains Game class and ... functions" ], [ "main.py", "Contains main function, from game import Game" ] ], "Task list": [ "game.py", "main.py" ], "Shared Knowledge": "game.py contains functions shared across the project.", "Anything UNCLEAR": "Clarification needed on how to start and initialize third-party libraries." } [/CONTENT] 2024-02-21 09:26:55.292 | INFO | metagpt.utils.cost_manager:update_cost:52 - Total running cost: $0.000 | Max budget: $10.000 | Current cost: $0.000, prompt_tokens: 1244, completion_tokens: 192 2024-02-21 09:26:55.300 | ERROR | metagpt.utils.common:log_it:476 - Finished call to 'metagpt.actions.action_node.ActionNode._aask_v1' after 5.110(s), this was the 1st time calling it. exp: 1 valida tion error for PM_NODE_AN Value error, Missing fields: {'Full API spec'} [type=value_error, input_value={'Required Python package...third-party libraries.'}, input_type=dict] For further information visit https://errors.pydantic.dev/2.5/v/value_error [CONTENT] { "Required Python packages": [], "Required Other language third-party packages": [], "Logic Analysis": [ [ "main.py", "Contains main function, from game import Game" ], [ "game.py", "Contains Game class and ... functions" ] ], "Task list": [ "main.py", "game.py" ], "Full API spec": "No API spec required", "Shared Knowledge": "game.py contains functions shared across the project.", "Anything UNCLEAR": "Clarification needed on how to start and initialize third-party libraries." } [/CONTENT] 2024-02-21 09:27:00.834 | INFO | metagpt.utils.cost_manager:update_cost:52 - Total running cost: $0.001 | Max budget: $10.000 | Current cost: $0.000, prompt_tokens: 1244, completion_tokens: 167 2024-02-21 09:27:00.846 | INFO | metagpt.utils.file_repository:save:60 - save to: C:\project\MetaGPT\workspace\video_search\docs\task\20240221092626.json 2024-02-21 09:27:00.852 | INFO | metagpt.utils.file_repository:save:65 - update dependency: C:\project\MetaGPT\workspace\video_search\docs\task\20240221092626.json:{'docs\system_design\2024022109 2626.json'} 2024-02-21 09:27:00.855 | INFO | metagpt.utils.file_repository:save:60 - save to: C:\project\MetaGPT\workspace\video_search\requirements.txt 2024-02-21 09:27:01.330 | INFO | metagpt.actions.write_code:run:147 - Writing main.py..

Code: main.py

from game import Game

def main():
    """
    Main function.
    """

    # Create a new game.
    game = Game()

    # Start the game.
    game.start()

if __name__ == "__main__":
    main()

2024-02-21 09:27:07.416 | INFO | metagpt.utils.cost_manager:update_cost:52 - Total running cost: $0.000 | Max budget: $10.000 | Current cost: $0.000, prompt_tokens: 1201, completion_tokens: 72 2024-02-21 09:27:07.420 | INFO | metagpt.actions.write_code_review:run:183 - Code review and rewrite main.py: 1/2 | len(iterative_code)=193, len(self.i_context.code_doc.content)=193

Code Review: main.py

Yes.
Yes.
Yes.
Yes.
Yes.
Yes.

Actions

pass

Code Review Result

LGTM 2024-02-21 09:27:11.272 | INFO | metagpt.utils.cost_manager:update_cost:52 - Total running cost: $0.001 | Max budget: $10.000 | Current cost: $0.000, prompt_tokens: 1654, completion_tokens: 51 2024-02-21 09:27:11.284 | INFO | metagpt.utils.file_repository:save:60 - save to: C:\project\MetaGPT\workspace\video_search\video_search\main.py 2024-02-21 09:27:11.289 | INFO | metagpt.utils.file_repository:save:65 - update dependency: C:\project\MetaGPT\workspace\video_search\video_search\main.py:{'docs\system_design\20240221092626.json ', 'docs\task\20240221092626.json'} 2024-02-21 09:27:11.293 | INFO | metagpt.actions.write_code:run:147 - Writing game.py.. , 2024-02-21 09:27:14.455 | INFO | metagpt.utils.cost_manager:update_cost:52 - Total running cost: $0.001 | Max budget: $10.000 | Current cost: $0.000, prompt_tokens: 1201, completion_tokens: 2 2024-02-21 09:27:14.458 | ERROR | metagpt.utils.common:parse_code:280 - .*?\s+(.*?) not match following text: 2024-02-21 09:27:14.459 | ERROR | metagpt.utils.common:parse_code:281 - , 2024-02-21 09:27:14.462 | INFO | metagpt.actions.write_code_review:run:183 - Code review and rewrite game.py: 1/2 | len(iterative_code)=1, len(self.i_context.code_doc.content)=1

Code Review: game.py

The code is not implemented as per the requirements. The handle_events method should update the game state only if a move is successful.

def handle_events(self):
    for event in pygame.event.get():
        if event.type == pygame.QUIT:
            return False
        if event.type == pygame.KEYDOWN:
            moved = False
            if event.key == pygame.K_UP:
                moved = self.game.move('UP')
            elif event.key == pygame.K_DOWN:
                moved = self.game.move('DOWN')
            elif event.key == pygame.K_LEFT:
                moved = self.game.move('LEFT')
            elif event.key == pygame.K_RIGHT:
                moved = self.game.move('RIGHT')
            if moved:
                # Update the game state only if a move was successful
                self.render()
    return True

The code logic is not completely correct. The move function is not implemented.
```
def move(self, direction):
    # Implement the move logic here
    pass
```
The existing code does not follow the "Data structures and interfaces". The Game class should have a move method that takes a direction as an argument and returns a boolean indicating whether th e move was successful.
The move function is not implemented.
All necessary pre-dependencies have been imported.
Methods from other files are not being reused.

Actions

Implement the move function in the Game class.
Update the handle_events method to update the game state only if a move is successful.

Code Review Result

LBTM 2024-02-21 09:27:24.155 | INFO | metagpt.utils.cost_manager:update_cost:52 - Total running cost: $0.002 | Max budget: $10.000 | Current cost: $0.001, prompt_tokens: 1596, completion_tokens: 407

Rewrite Code: game.py

import pygame

class Game:
    def __init__(self):
        self.game_state = ...  # Initialize the game state here

    def move(self, direction):
        # Implement the move logic here
        # Return True if the move was successful, False otherwise
        pass

    def render(self):
        # Implement the rendering logic here
        pass

class GameEngine:
    def __init__(self):
        self.game = Game()

    def handle_events(self):
        for event in pygame.event.get():
            if event.type == pygame.QUIT:
                return False
            if event.type == pygame.KEYDOWN:
                moved = False
                if event.key == pygame.K_UP:
                    moved = self.game.move('UP')
                elif event.key == pygame.K_DOWN:
                    moved = self.game.move('DOWN')
                elif event.key == pygame.K_LEFT:
                    moved = self.game.move('LEFT')
                elif event.key == pygame.K_RIGHT:
                    moved = self.game.move('RIGHT')
                if moved:
                    # Update the game state only if a move was successful
                    self.game.render()
        return True

    def run(self):
        while self.handle_events():
            # Update the game logic here
            pass

if __name__ == '__main__':
    engine = GameEngine()
    engine.run()

2024-02-21 09:27:31.668 | INFO | metagpt.utils.cost_manager:update_cost:52 - Total running cost: $0.002 | Max budget: $10.000 | Current cost: $0.001, prompt_tokens: 1466, completion_tokens: 347 2024-02-21 09:27:31.670 | INFO | metagpt.actions.write_code_review:run:183 - Code review and rewrite game.py: 2/2 | len(iterative_code)=1374, len(self.i_context.code_doc.content)=1

Code Review: Ordered List. Based on the "Code to be Reviewed", provide key, clear, concise, and specific answer. If any answer is no, explain how to fix it step by step.

Yes.
Yes.
Yes.
Yes.
Yes.
Yes.

Actions: Ordered List. Things that should be done after CR, such as implementing class A and function B

Code Review Result: str. If the code doesn't have bugs, we don't need to rewrite it, so answer LGTM and stop. ONLY ANSWER LGTM/LBTM.

LGTM 2024-02-21 09:27:36.275 | INFO | metagpt.utils.cost_manager:update_cost:52 - Total running cost: $0.003 | Max budget: $10.000 | Current cost: $0.001, prompt_tokens: 1928, completion_tokens: 141 2024-02-21 09:27:36.287 | INFO | metagpt.utils.file_repository:save:60 - save to: C:\project\MetaGPT\workspace\video_search\video_search\game.py 2024-02-21 09:27:36.292 | INFO | metagpt.utils.file_repository:save:65 - update dependency: C:\project\MetaGPT\workspace\video_search\video_search\game.py:{'docs\system_design\20240221092626.json ', 'docs\task\20240221092626.json'} 2024-02-21 09:27:36.497 | INFO | metagpt.utils.git_repository:archive:168 - Archive: ['.dependencies.json', 'docs/prd/20240221092626.json', 'docs/requirement.txt', 'docs/system_design/2024022109262 6.json', 'docs/task/20240221092626.json', 'requirements.txt', 'resources/competitive_analysis/20240221092626.mmd', 'resources/data_api_design/20240221092626.mmd', 'resources/prd/20240221092626.md', 're sources/seq_flow/20240221092626.mmd', 'resources/system_design/20240221092626.md', 'video_search/game.py', 'video_search/main.py']

Feb 21 '24 01:02 1010936691

2024-02-21 09:26:26.482 | WARNING | metagpt.utils.git_repository:rename_root:214 - Move C:\project\MetaGPT\workspace\20240221092607 to C:\project\MetaGPT\workspace\video_search error: [WinError 32] 另
一个程序正在使用此文件，进程无法访问。: 'C:\project\MetaGPT\workspace\20240221092607'

Windows下此处的异常只会导致C:\project\MetaGPT\workspace\20240221092607残留，不会影响C:\project\MetaGPT\workspace\video_search的生成。这是python mv windows文件夹已知的问题。你可以用过metagpt --project-name参数类绕过这个问题，人为指定project name可绕过这个rename操作。

2024-02-21 09:26:27.050 | INFO | metagpt.roles.role:_act:399 - Bob(Architect): to do WriteDesign(WriteDesign)
[CONTENT]
{
"Implementation approach": "We will use the Vue framework for the front-end and the Java+springboot+springmvc+mybatis plus+mysql stack for the back-end. We will use a modular approach to developmen
t, with each module responsible for a specific set of functionality. This will make it easier to maintain and update the system in the future.",
"File list": [
"main.py",
"game.py"
],
"Data structures and interfaces": "\nclassDiagram\n class User {\n - username: str\n - password: str\n - email: str\n - permissions: list\n +login()\n +
logout()\n +change_password()\n +reset_password()\n }\n class Permission {\n - name: str\n - description: str\n +check()\n }\n class Role {\n - nam
e: str\n - description: str\n - permissions: list\n +assign()\n +revoke()\n }\n class Attendance {\n - date: date\n - time: time\n - location: str
\n - employee: User\n +check_in()\n +check_out()\n }\n class Congestion {\n - date: date\n - time: time\n - location: str\n - severity: int\n
+report()\n }\n class Notification {\n - type: str\n - message: str\n - recipient: User\n +send()\n }\n class Video {\n - id: int\n - title: str
\n - description: str\n - url: str\n - tags: list\n +search()\n +view()\n +download()\n }\n class SearchEngine {\n - index: Index\n - ranki
ng: Ranking\n - summary: Summary\n +search(query: str) list\n }\n class Index {\n - data: dict\n +create_index(data: dict)\n +query_index(query: str) list\n
}\n class Ranking {\n +rank_results(results: list) list\n }\n class Summary {\n +summarize_results(results: list) str\n }\n User --> Attendance\n User --> Congestion\n
User --> Notification\n User --> Video\n SearchEngine --> Index\n SearchEngine --> Ranking\n SearchEngine --> Summary\n",
"Program call flow": "\nsequenceDiagram\n participant M as Main\n participant SE as SearchEngine\n participant I as Index\n participant R as Ranking\n participant S as Summary\n M
->>SE: search(query)\n SE->>I: query_index(query)\n I->>SE: return results\n SE->>R: rank_results(results)\n R-->>SE: return ranked_results\n SE->>S: summarize_results(ranked_results)\n
S-->>SE: return summary\n SE-->>M: return summary\n",
"Anything UNCLEAR": "Clarification needed on third-party API integration, ..."
}
[/CONTENT]

从上面的日志看，类视图和时序图都已经正常的生成，而且类视图与时序图是配套的。

{
    "Implementation approach": "We will use the Vue framework for the front-end and the Java+springboot+springmvc+mybatis plus+mysql stack for the back-end. We will use a modular approach to development, with each module responsible for a specific set of functionality. This will make it easier to maintain and update the system in the future.",
    "File list": [
        "main.py",
        "game.py"
    ],
    "Data structures and interfaces": "\nclassDiagram\n class User {\n - username: str\n - password: str\n - email: str\n - permissions: list\n +login()\n +logout()\n +change_password()\n +reset_password()\n }\n class Permission {\n - name: str\n - description: str\n +check()\n }\n class Role {\n - name: str\n - description: str\n - permissions: list\n +assign()\n +revoke()\n }\n class Attendance {\n - date: date\n - time: time\n - location: str\n - employee: User\n +check_in()\n +check_out()\n }\n class Congestion {\n - date: date\n - time: time\n - location: str\n - severity: int\n+report()\n }\n class Notification {\n - type: str\n - message: str\n - recipient: User\n +send()\n }\n class Video {\n - id: int\n - title: str\n - description: str\n - url: str\n - tags: list\n +search()\n +view()\n +download()\n }\n class SearchEngine {\n - index: Index\n - ranking: Ranking\n - summary: Summary\n +search(query: str) list\n }\n class Index {\n - data: dict\n +create_index(data: dict)\n +query_index(query: str) list\n}\n class Ranking {\n +rank_results(results: list) list\n }\n class Summary {\n +summarize_results(results: list) str\n }\n User --> Attendance\n User --> Congestion\nUser --> Notification\n User --> Video\n SearchEngine --> Index\n SearchEngine --> Ranking\n SearchEngine --> Summary\n",
    "Program call flow": "\nsequenceDiagram\n participant M as Main\n participant SE as SearchEngine\n participant I as Index\n participant R as Ranking\n participant S as Summary\n M->>SE: search(query)\n SE->>I: query_index(query)\n I->>SE: return results\n SE->>R: rank_results(results)\n R-->>SE: return ranked_results\n SE->>S: summarize_results(ranked_results)\nS-->>SE: return summary\n SE-->>M: return summary\n",
    "Anything UNCLEAR": "Clarification needed on third-party API integration, ..."
}


classDiagram
 class User {
 - username: str
 - password: str
 - email: str
 - permissions: list
 +login()
 +logout()
 +change_password()
 +reset_password()
 }
 class Permission {
 - name: str
 - description: str
 +check()
 }
 class Role {
 - name: str
 - description: str
 - permissions: list
 +assign()
 +revoke()
 }
 class Attendance {
 - date: date
 - time: time
 - location: str
 - employee: User
 +check_in()
 +check_out()
 }
 class Congestion {
 - date: date
 - time: time
 - location: str
 - severity: int
+report()
 }
 class Notification {
 - type: str
 - message: str
 - recipient: User
 +send()
 }
 class Video {
 - id: int
 - title: str
 - description: str
 - url: str
 - tags: list
 +search()
 +view()
 +download()
 }
 class SearchEngine {
 - index: Index
 - ranking: Ranking
 - summary: Summary
 +search(query: str) list
 }
 class Index {
 - data: dict
 +create_index(data: dict)
 +query_index(query: str) list
}
 class Ranking {
 +rank_results(results: list) list
 }
 class Summary {
 +summarize_results(results: list) str
 }
 User --> Attendance
 User --> Congestion
User --> Notification
 User --> Video
 SearchEngine --> Index
 SearchEngine --> Ranking
 SearchEngine --> Summary

sequenceDiagram
 participant M as Main
 participant SE as SearchEngine
 participant I as Index
 participant R as Ranking
 participant S as Summary
 M->>SE: search(query)
 SE->>I: query_index(query)
 I->>SE: return results
 SE->>R: rank_results(results)
 R-->>SE: return ranked_results
 SE->>S: summarize_results(ranked_results)
S-->>SE: return summary
 SE-->>M: return summary

所以，真正的问题是File list的内容出错了。 LLM错误的将metagpt/actions/design_api_an.py中的示例作为回答填到了File list里：

FILE_LIST = ActionNode(
    key="File list",
    expected_type=List[str],
    instruction="Only need relative paths. ALWAYS write a main.py or app.py here",
    example=["main.py", "game.py"],
)

到了WriteTask阶段，大模型在抄示例的路上越走越远。

2024-02-21 09:26:49.820 | INFO | metagpt.roles.role:_act:399 - Eve(Project Manager): to do WriteTasks(WriteTasks)
[CONTENT]
{
"Required Python packages": [
"flask==1.1.2",
"bcrypt==3.2.0"
],
"Required Other language third-party packages": [
"No third-party dependencies required"
],
"Logic Analysis": [
[
"game.py",
"Contains Game class and ... functions"
],
[
"main.py",
"Contains main function, from game import Game"
]
],
"Task list": [
"game.py",
"main.py"
],
"Shared Knowledge": "game.py contains functions shared across the project.",
"Anything UNCLEAR": "Clarification needed on how to start and initialize third-party libraries."
}
[/CONTENT]

几乎是在照搬metagpt/actions/project_management_an.py示例部分的内容：

REQUIRED_PYTHON_PACKAGES = ActionNode(
    key="Required Python packages",
    expected_type=List[str],
    instruction="Provide required Python packages in requirements.txt format.",
    example=["flask==1.1.2", "bcrypt==3.2.0"],
)

REQUIRED_OTHER_LANGUAGE_PACKAGES = ActionNode(
    key="Required Other language third-party packages",
    expected_type=List[str],
    instruction="List down the required packages for languages other than Python.",
    example=["No third-party dependencies required"],
)

LOGIC_ANALYSIS = ActionNode(
    key="Logic Analysis",
    expected_type=List[List[str]],
    instruction="Provide a list of files with the classes/methods/functions to be implemented, "
    "including dependency analysis and imports.",
    example=[
        ["game.py", "Contains Game class and ... functions"],
        ["main.py", "Contains main function, from game import Game"],
    ],
)

总结一下所有的问题：

大模型并未正确的理解输入的内容。建议换个版本或换个大模型试试。
另一个可能导致问题的因素是采用了类似json格式的输入参数。我没测过gemini，但openai在使用这种格式的上下文时，很容易出现被锁死在某个key-value里而丢失其他信息的现象。因此建议采用markdown格式做输入，采用json格式做输出。你可以试试看用markdown格式来描述需求，看看问题1是否会自动消失。

Please help me complete a project, which is divided into front-end and back-end. The front-end uses the Vue framework, and the back-end uses java+springboo
t+springmvc+mybatis plus+mysql. Please carefully analyze the requirements and implement each function. The project requirements are as follows：{'Video Search ': {'Background Management End': {'Persona
l Center ': {'Login': {'Method ':' User Name+Password Login '},' Password Management ': {'Function ': ['Forgot Password ',' Send Verification Code to Modify via Email ',' Change Password '},' Logout ':
{}},' Permission Management System ': {'General Permission Management System': {}}, 'Attendance Ma nagement': {'Attendance Personnel Management ': {'Function': 'Add, Delete, Change'}, 'Attendance Reco
rds': {},' Attendance Machine Management ': {'Function': ['On ',' Off ']}, 'Personnel Search': {'Onl ine Personnel Monitoring ': {'Function': ['Single person monitoring ',' Multi person monitoring ','
View historical images']}, 'Offline Search': {'Function ':' Access videos and personnel images, batch search for the location of personnel in the video '},' Priority Implementation ': 2},' Congestion
Monitoring ': {'Online Video': {'Function ': ['Monitor traffic lights',' Monitor intersection vehicle conditions']}, 'Notification': {'Method ': ['Email', 'Topic', 'SMS',' Notification Strategy ']}, '
Call algorithm platform interface': {}}, 'Big screen, cockpit': {}, 'Data access': {' Bottom layer data access': {'Collected by': 'edge computing', 'Data': {'Video data': {'Type': 'Real time data'}, '
Other data': {}}}, 'Big data': {}}}

Mar 04 '24 04:03 iorisa

TODO

Prompt optimization
Review & revise until the output meets expectations

Mar 21 '24 06:03 geekan

MetaGPT MetaGPT copied to clipboard

忽略用户需求，转而产出game.py

Code: main.py

Code Review: main.py

Actions

Code Review Result

Code Review: game.py

Actions

Code Review Result

Rewrite Code: game.py

Code Review: Ordered List. Based on the "Code to be Reviewed", provide key, clear, concise, and specific answer. If any answer is no, explain how to fix it step by step.

Actions: Ordered List. Things that should be done after CR, such as implementing class A and function B

Code Review Result: str. If the code doesn't have bugs, we don't need to rewrite it, so answer LGTM and stop. ONLY ANSWER LGTM/LBTM.

MetaGPT
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