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Fix for issue #1252: _achat_completion_stream method #1271

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@garylin2099 garylin2099 commented May 14, 2024

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This PR addresses the issue with the _achat_completion_stream method as reported in issue #1252.


PR Type

Enhancement


Description

  • Added a comprehensive planning and event handling system for roles in Stanford Town, enhancing decision-making processes.
  • Defined a new role class for Stanford Town with advanced features for role behavior and environment interaction.
  • Refactored the Werewolf environment to improve game state management and player interaction logic.
  • Developed a new action generation system for Stanford Town to facilitate detailed action planning.
  • Introduced utility functions for the Android Assistant to aid in XML parsing and image manipulation.
  • Created a moderator role for the Werewolf game, incorporating game flow control and player interaction parsing.

Changes walkthrough 📝

Relevant files
Enhancement
st_plan.py
Implement Comprehensive Role Planning and Event Handling in Stanford
Town

metagpt/ext/stanford_town/plan/st_plan.py

  • Added a comprehensive planning and event handling system for roles in
    Stanford Town.
  • Implemented detailed logging for actions and decisions within the
    planning functions.
  • Integrated various utility functions and role-specific actions into
    the planning process.
  • Enhanced the decision-making process based on role, retrieved
    information, and event perceptions.
  • +706/-0 
    st_role.py
    Define and Implement Stanford Town Role Class with Advanced Features

    metagpt/ext/stanford_town/roles/st_role.py

  • Defined a new role class for Stanford Town with detailed role
    behaviors.
  • Integrated environment interactions, memory management, and
    role-specific actions.
  • Added methods for role initialization, memory loading, and
    environmental observation.
  • Implemented detailed action execution logic based on role's current
    state and environment.
  • +640/-0 
    werewolf_ext_env.py
    Refactor and Enhance Werewolf Environment Handling and Logic

    metagpt/environment/werewolf/werewolf_ext_env.py

  • Refactored the Werewolf environment to enhance clarity and
    functionality.
  • Updated methods for game state management, player actions, and event
    handling.
  • Improved the logic for determining game outcomes and player
    interactions.
  • Streamlined the environment observation and action step methods.
  • +136/-137
    gen_action_details.py
    Develop Action Generation System for Stanford Town             

    metagpt/ext/stanford_town/actions/gen_action_details.py

  • Introduced a new action generation system for Stanford Town.
  • Added multiple classes to handle different aspects of action
    generation.
  • Integrated environment and role-specific data into action
    decision-making.
  • Provided utilities for generating detailed action descriptions and
    event triggers.
  • +401/-0 
    utils.py
    Add Utility Functions for Android Assistant Operations     

    metagpt/ext/android_assistant/utils/utils.py

  • Added utility functions for Android Assistant operations.
  • Implemented methods for XML parsing, element identification, and
    interaction handling.
  • Provided functions for drawing on images and handling grid-based
    operations.
  • Enhanced data extraction and manipulation capabilities for assistant
    tasks.
  • +329/-0 
    moderator.py
    Implement Moderator Role for Werewolf Game with Comprehensive
    Functionalities

    metagpt/ext/werewolf/roles/moderator.py

  • Created a moderator role class for the Werewolf game with extensive
    functionalities.
  • Implemented game flow control, player interaction parsing, and result
    announcement.
  • Integrated memory management and environmental interaction within the
    moderator role.
  • Added detailed logging and experience recording for game sessions.
  • +251/-0 

    💡 PR-Agent usage:
    Comment /help on the PR to get a list of all available PR-Agent tools and their descriptions

    @codiumai-pr-agent-pro codiumai-pr-agent-pro bot added the enhancement New feature or request label May 14, 2024
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    PR Description updated to latest commit (50e492d)

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    PR Review 🔍

    ⏱️ Estimated effort to review [1-5]

    5, due to the extensive changes across multiple files and the complexity of the new features introduced, such as planning and event handling systems, role-specific behaviors, and interaction logic enhancements. The PR also includes significant refactoring and the introduction of new utility functions, which increases the scope of the review.

    🧪 Relevant tests

    No

    ⚡ Possible issues

    Possible Bug: The use of random.choice() in several methods might lead to non-deterministic behaviors which could be hard to debug and test.

    Performance Concern: The extensive use of string operations and parsing in loops (seen in the XML parsing utilities) might lead to performance issues, especially with large input data.

    🔒 Security concerns

    No

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    PR Code Suggestions ✨

    CategorySuggestion                                                                                                                                    Score
    Bug fix
    Prevent data loss by removing unnecessary reinitialization of the list

    The method create_prompt_input in the GenActionSector class reinitializes prompt_input to
    an empty list after adding several items, which results in losing all previously added
    items. To fix this, remove the line that reinitializes prompt_input.

    metagpt/ext/stanford_town/actions/gen_action_details.py [54]

    -prompt_input = []
    +# Removed the reinitialization of prompt_input
     
    Suggestion importance[1-10]: 10

    Why: The suggestion accurately points out a critical bug where data is lost due to the reinitialization of the prompt_input list. Removing this line is crucial to preserve the intended data flow.

    10
    Possible bug
    Improve the reliability of the action finished check by using a direct comparison of datetime objects

    The method act_check_finished uses a strict equality check for time comparison, which can
    be error-prone due to the precision of seconds. Instead, consider checking if the current
    time is greater than or equal to the end time.

    metagpt/ext/stanford_town/memory/scratch.py [330-331]

    -if end_time.strftime("%H:%M:%S") == self.curr_time.strftime("%H:%M:%S"):
    +if self.curr_time >= end_time:
         return True
     
    Suggestion importance[1-10]: 9

    Why: The suggestion correctly identifies a potential bug due to strict equality check for time comparison, which can lead to errors. Using direct datetime comparison is more robust and reliable.

    9
    Add error handling for image reading failures

    In the draw_bbox_multi function, consider checking if imgcv is None after reading the
    image file to handle cases where the image path is invalid or the file is corrupted.

    metagpt/ext/android_assistant/utils/utils.py [118]

     imgcv = cv2.imread(str(img_path))
    +if imgcv is None:
    +    logger.error(f"Failed to read image from path: {img_path}")
    +    return None
     
    Suggestion importance[1-10]: 8

    Why: The suggestion to add a check for None after reading an image file addresses a potential crash scenario, which is crucial for robustness, especially in image processing applications.

    8
    Prevent bugs by avoiding mutable default arguments

    To avoid potential issues with mutable default arguments (like lists), use default_factory
    to create a new list for keywords and filling fields in BasicMemory.

    metagpt/ext/stanford_town/memory/agent_memory.py [39-40]

    -keywords: list[str] = Field(default=[])  # keywords
    -filling: list = Field(default=[])  # 装的与之相关联的memory_id的列表
    +keywords: list[str] = Field(default_factory=list)
    +filling: list = Field(default_factory=list)
     
    Suggestion importance[1-10]: 8

    Why: Using default_factory=list for keywords and filling is a best practice to avoid bugs related to mutable default arguments. This suggestion correctly identifies a common Python pitfall and provides a robust solution.

    8
    Enhance robustness by handling potential missing keys in dictionaries

    To avoid potential runtime errors from missing keys in the parsed_json dictionary, use the
    dict.get method with a default value when accessing keys in the reflect_parse_extarct
    function.

    metagpt/ext/android_assistant/utils/utils.py [251]

    -decision = parsed_json.get("Decision")
    +decision = parsed_json.get("Decision", default_decision_value)  # Replace `default_decision_value` with an appropriate default
     
    Suggestion importance[1-10]: 7

    Why: Using dict.get with a default value in reflect_parse_extarct is a good practice to avoid runtime errors due to missing keys. This enhances the robustness of the code.

    7
    Enhancement
    Improve the validation logic to handle JSON formatted responses correctly

    The method _func_validate in the GenActionSector class checks if the response contains a
    "}" character but does not handle cases where the "}" might be part of a valid response.
    To improve the robustness of the validation, consider checking for a more specific pattern
    or using a JSON parsing approach if the response format is JSON.

    metagpt/ext/stanford_town/actions/gen_action_details.py [22-23]

    -if "}" not in llm_resp:
    +try:
    +    json.loads(llm_resp)  # Assuming the response is in JSON format
    +    return True
    +except json.JSONDecodeError:
         return False
     
    Suggestion importance[1-10]: 8

    Why: The suggestion correctly identifies a potential issue with the validation logic that could lead to incorrect handling of valid responses containing "}". Using JSON parsing to validate JSON formatted responses is a robust solution.

    8
    Simplify the datetime manipulation by removing unnecessary intermediate steps

    The method act_check_finished initializes a new datetime object x and modifies it within a
    conditional block. This can be simplified by directly adding the timedelta to
    self.act_start_time without the intermediate variable.

    metagpt/ext/stanford_town/memory/scratch.py [324-328]

    -x = self.act_start_time
    -if x.second != 0:
    -    x = x.replace(second=0)
    -    x = x + timedelta(minutes=1)
    -end_time = x + timedelta(minutes=self.act_duration)
    +end_time = self.act_start_time.replace(second=0) + timedelta(minutes=self.act_duration + (1 if self.act_start_time.second != 0 else 0))
     
    Suggestion importance[1-10]: 8

    Why: The suggestion accurately improves the code by simplifying the datetime manipulation, making it more efficient and readable.

    8
    Simplify the logic for determining end_time by using a conditional expression

    The method act_check_finished uses a conditional to handle the case where
    self.chatting_with is not None. This can be simplified by initializing end_time directly
    based on whether self.chatting_with is set or not, removing the need for the conditional
    block.

    metagpt/ext/stanford_town/memory/scratch.py [321-328]

    -if self.chatting_with:
    -    end_time = self.chatting_end_time
    -else:
    -    x = self.act_start_time
    -    if x.second != 0:
    -        x = x.replace(second=0)
    -        x = x + timedelta(minutes=1)
    -    end_time = x + timedelta(minutes=self.act_duration)
    +end_time = self.chatting_end_time if self.chatting_with else self.act_start_time.replace(second=0) + timedelta(minutes=self.act_duration + (1 if self.act_start_time.second != 0 else 0))
     
    Suggestion importance[1-10]: 8

    Why: The suggestion effectively simplifies the logic for determining end_time by using a conditional expression, which enhances code clarity and reduces complexity.

    8
    Simplify default value assignment using Pydantic's default_factory

    Replace the manual check and assignment for filling in check_values with a more concise
    default using the or operator directly in the field definition.

    metagpt/ext/stanford_town/memory/agent_memory.py [51-52]

    -if "filling" in values:
    -    values["filling"] = values["filling"] or []
    +filling: list = Field(default_factory=list)
     
    Suggestion importance[1-10]: 7

    Why: The suggestion to use default_factory=list for filling simplifies the code and avoids potential issues with mutable defaults, which is a good practice in Python.

    7
    Improve string manipulation efficiency and readability

    Consider using a more efficient method for string manipulation in get_id_from_element
    function. Repeated calls to replace can be combined into a single expression using chained
    calls to improve readability and potentially performance.

    metagpt/ext/android_assistant/utils/utils.py [40]

    +elem_id = elem.attrib["resource-id"].replace(":", ".").replace("/", "_")
     
    -
    Suggestion importance[1-10]: 6

    Why: The suggestion to chain string replace methods in get_id_from_element is valid and improves readability. However, the performance gain might be minimal, so it's a moderate improvement.

    6
    Add debugging information before reassigning the output to aid in troubleshooting

    In the run method of GenActionSector, the variable output is reassigned to
    role.scratch.living_area.split(":")[1] if output is not found in x. This could lead to
    unexpected behavior if output is valid but not in x. To improve this, add a logging
    statement before reassigning to help with debugging.

    metagpt/ext/stanford_town/actions/gen_action_details.py [92]

    -output = role.scratch.living_area.split(":")[1]
    +if output not in x:
    +    logger.debug(f"Output {output} not found in {x}, defaulting to living area.")
    +    output = role.scratch.living_area.split(":")[1]
     
    Suggestion importance[1-10]: 5

    Why: Adding a debug log before reassigning the output variable provides useful context for debugging, although it's a minor enhancement and not a critical fix.

    5
    Best practice
    Initialize class attributes in the constructor for safer usage

    Consider initializing self.embeddings in the AgentMemory constructor to ensure it is
    always defined before use, which can prevent potential issues when methods like add_chat,
    add_thought, or add_event are called before load.

    metagpt/ext/stanford_town/memory/agent_memory.py [116]

    -embeddings: dict[str, list[float]] = dict()
    +def __init__(self):
    +    self.embeddings: dict[str, list[float]] = dict()
     
    Suggestion importance[1-10]: 8

    Why: Initializing self.embeddings in the constructor as suggested would indeed prevent potential null reference issues, which is crucial for the stability of the application.

    8
    Maintainability
    Refactor duplicated schedule index calculation logic into a single helper function

    The method get_f_daily_schedule_index and get_f_daily_schedule_hourly_org_index contain
    duplicated logic for calculating the elapsed time and index. Consider refactoring these
    methods to use a helper function to avoid code duplication.

    metagpt/ext/stanford_town/memory/scratch.py [142-146]

    -for task, duration in self.f_daily_schedule:
    -    elapsed += duration
    -    if elapsed > today_min_elapsed:
    -        return curr_index
    -    curr_index += 1
    +def calculate_schedule_index(schedule, today_min_elapsed):
    +    elapsed = 0
    +    for task, duration in schedule:
    +        elapsed += duration
    +        if elapsed > today_min_elapsed:
    +            return curr_index
    +        curr_index += 1
    +    return curr_index
     
    Suggestion importance[1-10]: 7

    Why: This suggestion correctly identifies code duplication and proposes a refactor to improve maintainability. Implementing a helper function would make the code cleaner and reduce redundancy.

    7
    Increase flexibility by allowing dynamic setting of the prompt template

    The run method in GenActionSector uses a hardcoded string "action_location_sector_v1.txt"
    for the prompt template. To increase flexibility and maintainability, consider passing the
    template filename as a parameter or setting it through a configuration setting.

    metagpt/ext/stanford_town/actions/gen_action_details.py [82]

    -prompt_template = "action_location_sector_v1.txt"
    +def __init__(self, prompt_template="action_location_sector_v1.txt"):
    +    self.prompt_template = prompt_template
     
    Suggestion importance[1-10]: 6

    Why: This suggestion improves maintainability by allowing the prompt template to be set dynamically, which is a good practice for flexibility but not critical.

    6
    Improve variable naming for exception handling

    Use a more descriptive variable name than e in the exception handling block within the
    draw_bbox_multi function to enhance code readability and maintainability.

    metagpt/ext/android_assistant/utils/utils.py [163]

    -except Exception as e:
    +except Exception as error:
     
    Suggestion importance[1-10]: 5

    Why: Renaming the variable e to error in the exception block enhances readability, but it's a minor improvement in terms of overall code maintainability.

    5
    Possible issue
    Add validation for memory_id to handle None or empty strings

    Ensure that the add method in AgentMemory handles the case where memory_basic.memory_id is
    None or an empty string, which could lead to unexpected behavior when checking if it
    exists in self.storage.

    metagpt/ext/stanford_town/memory/agent_memory.py [185-186]

    -if memory_basic.memory_id in self.storage:
    +if not memory_basic.memory_id or memory_basic.memory_id in self.storage:
         return
     
    Suggestion importance[1-10]: 6

    Why: Adding checks for None or empty strings in memory_id is a good defensive programming practice that can prevent errors related to identity management in memory storage. However, the impact might not be as critical unless there's a frequent occurrence of such cases.

    6

    @garylin2099 garylin2099 deleted the test-fix branch May 15, 2024 06:40
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