From 1b57395d0ee4d407e7cb5b0c4e890b119add086a Mon Sep 17 00:00:00 2001 From: yzlin Date: Thu, 25 Apr 2024 01:10:30 +0800 Subject: [PATCH] rough scratch for tl and thinking command --- metagpt/environment/mgx/__init__.py | 3 + metagpt/environment/mgx/mgx_env.py | 47 ++++++ metagpt/prompts/di/team_leader.py | 182 +++++++++++++++++++++ metagpt/roles/di/team_leader.py | 151 +++++++++++++++++ metagpt/strategy/thinking_command.py | 66 ++++++++ tests/metagpt/roles/di/test_team_leader.py | 167 +++++++++++++++++++ 6 files changed, 616 insertions(+) create mode 100644 metagpt/environment/mgx/__init__.py create mode 100644 metagpt/environment/mgx/mgx_env.py create mode 100644 metagpt/prompts/di/team_leader.py create mode 100644 metagpt/roles/di/team_leader.py create mode 100644 metagpt/strategy/thinking_command.py create mode 100644 tests/metagpt/roles/di/test_team_leader.py diff --git a/metagpt/environment/mgx/__init__.py b/metagpt/environment/mgx/__init__.py new file mode 100644 index 000000000..2bcf8efd0 --- /dev/null +++ b/metagpt/environment/mgx/__init__.py @@ -0,0 +1,3 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : diff --git a/metagpt/environment/mgx/mgx_env.py b/metagpt/environment/mgx/mgx_env.py new file mode 100644 index 000000000..9a148f24c --- /dev/null +++ b/metagpt/environment/mgx/mgx_env.py @@ -0,0 +1,47 @@ +from metagpt.environment.base_env import Environment +from metagpt.logs import get_human_input +from metagpt.schema import Message + + +class MGXEnv(Environment): + """MGX Environment""" + + history: dict[str, Message] = {} # redefine message history + + def _publish_message(self, message: Message, peekable: bool = True) -> bool: + return super().publish_message(message, peekable) + + def publish_message(self, message: Message, user_defined_recipient: str = "", publicer: str = "") -> bool: + """let the team leader take over message publishing""" + tl = self.get_role("Team Leader") + + if user_defined_recipient: + self._publish_message(message) + # bypass team leader, team leader only needs to know but not to react + tl.rc.memory.add(message) + + elif publicer == tl.profile: + # message processed by team leader can be published now + self._publish_message(message) + + else: + # every regular message goes through team leader + tl.put_message(message) + + self.history[message.id] = message + + return True + + def forward_message(self, message_id: str) -> str: + if message_id not in self.history: + return f"invalid message_id {message_id}, not found in history." + msg = self.history[message_id] + return self._publish_message(msg) + + async def ask_human(self, question: str) -> str: + # NOTE: Can be overwritten in remote setting + return get_human_input(question) + + async def reply_to_human(self, message: str) -> str: + # NOTE: Can be overwritten in remote setting + return message diff --git a/metagpt/prompts/di/team_leader.py b/metagpt/prompts/di/team_leader.py new file mode 100644 index 000000000..8b843a47d --- /dev/null +++ b/metagpt/prompts/di/team_leader.py @@ -0,0 +1,182 @@ +from metagpt.strategy.thinking_command import Command + + +def prepare_command_prompt(commands: list[Command]) -> str: + command_prompt = "" + for i, command in enumerate(commands): + command_prompt += f"{i+1}. {command.value.signature}:\n{command.value.desc}\n\n" + print(command_prompt) + return command_prompt + + +PLANNING_CMD_PROMPT = """ +# Data Structure +class Task(BaseModel): + task_id: str = "" + dependent_task_ids: list[str] = [] + instruction: str = "" + task_type: str = "" + assignee: str = "" + +# Team Member Info +{team_info} + +# Available Commands +{available_commands} + +# Current Plan +{plan_status} + +# Example +{example} + +# Instructions +You are a team leader, and you are responsible for drafting tasks and routing tasks to your team members. +You should NOT assign consecutive tasks to the same team member, instead, assign an aggregated task (or the complete requirement) and let the team member to decompose it. +If plan is created, you should track the progress based on team member feedback message, and update plan accordingly, such as finish_current_task, reset_task, replace_task, etc. + +Note: +1. If the requirement is a pure DATA-RELATED requirement, such as bug fixes, issue reporting, environment setup, terminal operations, pip install, web browsing, web scraping, web imitation, data science, data analysis, machine learning, deep learning, text-to-image etc. DON'T decompose it, assign a single task with the original user requirement as instruction directly to Data Analyst. +2. If the requirement is developing a software, game, app, or website, excluding the above data-related tasks, you should decompose the requirement into multiple tasks and assign them to different team members based on their expertise, usually the sequence of Product Manager -> Architect -> Project Manager -> Engineer -> QaEngine, each assigned ONE task. +3. If the requirement contains both DATA-RELATED part and software development part, you should decompose the software development part and assign them to different team members based on their expertise, and assign the DATA-RELATED part to Data Analyst David directly. +Pay close attention to the Example provided + +You may use any of the available commands to create a plan or update the plan. You may output mutiple commands, they will be executed sequentially. +If you finish current task, you will automatically take the next task in the existing plan, use finish_task, DON'T append a new task. + +# Your commands in a json array, in the following output format: +Some text indicating your thoughts, including how you categorize the requirement based on Note or how you should update the plan status. Then a json array of commands. +```json +[ + {{ + "command_name": str, + "args": {{"arg_name": arg_value, ...}} + }}, + ... +] +``` +""" + +ROUTING_CMD_PROMPT = """ +# Team Member Info +{team_info} + +# Available Commands +{available_commands} + +# Current Plan +{plan_status} + +# Example +{example} + +# Instructions +You are a team leader, you can use publish_message or forward_message to team members, asking them to start their task. +Note: +1. You should carefully review the recent conversation, if there are messages from team members, forward them or withold them properly. +2. Prioritize forward_message if messages exist, only public_message if you want to instruct the team member yourself. +3. Pay attention to task dependency, don't assign a task to a team member if the dependent tasks are not finished yet. +4. Review plan status, think about what you should do next, you can use any of the Available Commands. + +# Your commands in a json array, in the following output format: +```json +[ + {{ + "command_name": str, + "args": {{"arg_name": arg_value, ...}} + }}, + ... +] +""" + +PLANNING_EXAMPLE = """ +## example 1 +User Requirement: Create a cli snake game +Explanation: The requirement is about software development. Assign each tasks to a different team member based on their expertise. +```json +[ + { + "command_name": "append_task", + "args": { + "task_id": "1", + "dependent_task_ids": [], + "instruction": "Create a product requirement document (PRD) outlining the features, user interface, and user experience of the CLI snake game.", + "assignee": "Alice" + } + }, + { + "command_name": "append_task", + "args": { + "task_id": "2", + "dependent_task_ids": ["1"], + "instruction": "Design the software architecture for the CLI snake game, including the choice of programming language, libraries, and data flow.", + "assignee": "Bob" + } + }, + { + "command_name": "append_task", + "args": { + "task_id": "3", + "dependent_task_ids": ["2"], + "instruction": "Break down the architecture into manageable tasks, identify task dependencies, and prepare a detailed task list for implementation.", + "assignee": "Eve" + } + }, + { + "command_name": "append_task", + "args": { + "task_id": "4", + "dependent_task_ids": ["3"], + "instruction": "Implement the core game logic for the CLI snake game, including snake movement, food generation, and score tracking.", + "assignee": "Alex" + } + }, + { + "command_name": "append_task", + "args": { + "task_id": "5", + "dependent_task_ids": ["4"], + "instruction": "Write comprehensive tests for the game logic and user interface to ensure functionality and reliability.", + "assignee": "Edward" + } + } +] +``` + +## example 2 +User requirement: Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy. +Explanation: DON'T decompose requirement if it is a DATA-RELATED task, assign a single task directly to Data Analyst David. He will manage the decomposition and implementation. +```json +[ + { + "command_name": "append_task", + "args": { + "task_id": "1", + "dependent_task_ids": [], + "instruction": "Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.", + "assignee": "David" + } + } +] +``` +""" + +ROUTING_EXAMPLE = """ +## example 1: Forward a message from one team member to another +Conversation History: +[ + ..., + {'role': 'assistant', 'content': 'id: 739d9b4983fd4e97a0f78fde5e9ef158, from Alice(Product Manager) to {'Bob'}: {'docs': {'20240424153821.json': {'root_path': 'docs/prd', 'filename': '20240424153821.json', 'content': '{"Language":"en_us","Programming Language":"Python","Original Requirements":"create a cli snake game","Project Name":"snake_game","Product Goals":["Develop an intuitive and addictive snake game",...], ...}}}}}, + {'role': 'assistant', 'content': 'Based on the feedback from Alice, the Product Manager, it seems that the PRD for the snake game has been successfully created. Since the PRD is complete and there are no indications of issues with the task, we can mark the current task as finished and move on to the next task in the plan. The next task is assigned to Bob, the Architect, who will be responsible for designing the software architecture for the game based on the PRD provided by Alice.\n\nHere are the commands to update the plan status:\n\n```json\n[\n {\n "command_name": "finish_current_task"\n }\n]\n```'} +] +Command: +```json +[ + { + "command_name": "forward_message", + "args": { + "message_id": "739d9b4983fd4e97a0f78fde5e9ef158" + } + } +] +""" diff --git a/metagpt/roles/di/team_leader.py b/metagpt/roles/di/team_leader.py new file mode 100644 index 000000000..ec293f776 --- /dev/null +++ b/metagpt/roles/di/team_leader.py @@ -0,0 +1,151 @@ +from __future__ import annotations + +import json + +from pydantic import model_validator + +from metagpt.environment.mgx.mgx_env import MGXEnv +from metagpt.prompts.di.team_leader import ( + PLANNING_CMD_PROMPT, + PLANNING_EXAMPLE, + ROUTING_CMD_PROMPT, + ROUTING_EXAMPLE, + prepare_command_prompt, +) +from metagpt.roles import Role +from metagpt.schema import Message, Task, TaskResult +from metagpt.strategy.planner import Planner +from metagpt.strategy.thinking_command import Command +from metagpt.utils.common import CodeParser + + +class TeamLeader(Role): + name: str = "Tim" + profile: str = "Team Leader" + task_result: TaskResult = None + planning_commands: list[Command] = [ + Command.APPEND_TASK, + Command.RESET_TASK, + Command.REPLACE_TASK, + Command.FINISH_CURRENT_TASK, + Command.REPLY_TO_HUMAN, + Command.PASS, + ] + env_commands: list[Command] = [ + Command.PUBLISH_MESSAGE, + Command.FORWARD_MESSAGE, + Command.ASK_HUMAN, + Command.REPLY_TO_HUMAN, + Command.PASS, + ] + + @model_validator(mode="after") + def set_plan(self) -> "TeamLeader": + self.planner = Planner(goal=self.goal, working_memory=self.rc.working_memory, auto_run=True) + return self + + def _run_env_command(self, cmd): + assert isinstance(self.rc.env, MGXEnv), "TeamLeader should only be used in an MGXEnv" + if cmd["command_name"] == Command.PUBLISH_MESSAGE.cmd_name: + self.rc.env.publish_message(Message(**cmd["args"]), publicer=self.profile) + elif cmd["command_name"] in Command.FORWARD_MESSAGE.cmd_name: + self.rc.env.forward_message(**cmd["args"]) + elif cmd["command_name"] == Command.ASK_HUMAN.cmd_name: + self.rc.env.ask_human(**cmd["args"]) + elif cmd["command_name"] == Command.REPLY_TO_HUMAN.cmd_name: + self.rc.env.reply_to_human(**cmd["args"]) + + def _run_internal_command(self, cmd): + if cmd["command_name"] == Command.APPEND_TASK.cmd_name: + self.planner.plan.append_task(Task(**cmd["args"])) + elif cmd["command_name"] == Command.RESET_TASK.cmd_name: + self.planner.plan.reset_task(**cmd["args"]) + elif cmd["command_name"] == Command.REPLACE_TASK.cmd_name: + self.planner.plan.replace_task(Task(**cmd["args"])) + elif cmd["command_name"] == Command.FINISH_CURRENT_TASK.cmd_name: + self.planner.plan.current_task.update_task_result(task_result=self.task_result) + self.planner.plan.finish_current_task() + self.rc.working_memory.clear() + + def run_commands(self, cmds): + print(*cmds, sep="\n") + for cmd in cmds: + self._run_env_command(cmd) + self._run_internal_command(cmd) + + if self.planner.plan.is_plan_finished(): + self._set_state(-1) + + def get_memory(self) -> list[Message]: + mem = self.rc.memory.get() + for m in mem: + if m.role not in ["system", "user", "assistant"]: + m.content = f"id: {m.id[:10]}, from {m.role} to {m.send_to}: {m.content}" + m.role = "assistant" + return mem + + async def _think(self) -> bool: + """Useful in 'react' mode. Use LLM to decide whether and what to do next.""" + self.commands = [] + + example = "" + if not self.planner.plan.goal: + user_requirement = self.get_memories()[-1].content + self.planner.plan.goal = user_requirement + example = PLANNING_EXAMPLE + + # common info + team_info = "" + for role in self.rc.env.roles.values(): + if role.profile == "TeamLeader": + continue + team_info += f"{role.name}: {role.profile}, {role.goal}\n" + # print(team_info) + + # plan commands + plan_status = self.planner.plan.model_dump(include=["goal", "tasks"]) + for task in plan_status["tasks"]: + task.pop("code") + task.pop("result") + plan_prompt = PLANNING_CMD_PROMPT.format( + plan_status=plan_status, + team_info=team_info, + example=example, + available_commands=prepare_command_prompt(self.planning_commands), + ) + context = self.llm.format_msg(self.get_memory() + [Message(content=plan_prompt, role="user")]) + print(*context, sep="*" * 10 + "\n\n") + # breakpoint() + + plan_rsp = await self.llm.aask(context) + plan_rsp_dict = json.loads(CodeParser.parse_code(block=None, text=plan_rsp)) + self.commands.extend(plan_rsp_dict) + self.rc.memory.add(Message(content=plan_rsp, role="assistant")) + + # routing commands + route_prompt = ROUTING_CMD_PROMPT.format( + plan_status=plan_status, + team_info=team_info, + example=ROUTING_EXAMPLE, + available_commands=prepare_command_prompt(self.env_commands), + ) + context = self.llm.format_msg(self.get_memory() + [Message(content=route_prompt, role="user")]) + print(*context, sep="*" * 10 + "\n\n") + # breakpoint() + + route_rsp = await self.llm.aask(context) + route_rsp_dict = json.loads(CodeParser.parse_code(block=None, text=route_rsp)) + self.commands.extend(route_rsp_dict) + self.rc.memory.add(Message(content=route_rsp, role="assistant")) + + return True + + async def _act(self) -> Message: + """Useful in 'react' mode. Return a Message conforming to Role._act interface.""" + self.run_commands(self.commands) + self.task_result = TaskResult(result="Success", is_success=True) + + async def run(self, with_message=None) -> Message | None: + if await self._observe(): + await self._think() + await self._act() diff --git a/metagpt/strategy/thinking_command.py b/metagpt/strategy/thinking_command.py new file mode 100644 index 000000000..cc4626c6d --- /dev/null +++ b/metagpt/strategy/thinking_command.py @@ -0,0 +1,66 @@ +from enum import Enum + +from pydantic import BaseModel + + +class CommandDef(BaseModel): + name: str + signature: str = "" + desc: str = "" + + +class Command(Enum): + # commands for planning + APPEND_TASK = CommandDef( + name="append_task", + signature="append_task(task_id: str, dependent_task_ids: list[str], instruction: str, assignee: str)", + desc="Append a new task with task_id (number) to the end of existing task sequences. If dependent_task_ids is not empty, the task will depend on the tasks with the ids in the list.", + ) + RESET_TASK = CommandDef( + name="reset_task", + signature="reset_task(task_id: str)", + desc="Reset a task based on task_id, i.e. set Task.is_finished=False and request redo. This also resets all tasks depending on it.", + ) + REPLACE_TASK = CommandDef( + name="replace_task", + signature="replace_task(task_id: str, new_dependent_task_ids: list[str], new_instruction: str, new_assignee: str)", + desc="Replace an existing task (can be current task) based on task_id, and reset all tasks depending on it.", + ) + FINISH_CURRENT_TASK = CommandDef( + name="finish_current_task", + signature="finish_current_task()", + desc="Finishes current task, set Task.is_finished=True, set current task to next task", + ) + + # commands for env interaction + PUBLISH_MESSAGE = CommandDef( + name="publish_message", + signature="publish_message(content: str, send_to: str)", + desc="Publish a message to a team member, use member name to fill send_to args. You may copy the full original content or add additional information from upstream. This will make team members start their work. DONT omit any necessary info such as path, link, environment from original content to team members because you are their sole info source. However, if the original content is long or contains concrete info, you should forward the message using forward_message instead of publishing it.", + ) + FORWARD_MESSAGE = CommandDef( + name="forward_message", + signature="forward_message(message_id: str)", + desc="Forward a message from one team member to another or all without any modification. This will make the recipient start their work, too.", + ) + REPLY_TO_HUMAN = CommandDef( + name="reply_to_human", + signature="reply_to_human(content: str)", + desc="Reply to human user with the content provided. Use this when you have a clear answer or solution to the user's question.", + ) + ASK_HUMAN = CommandDef( + name="ask_human", + signature="ask_human(question: str)", + desc="Use this when you fail the current task or if you are unsure of the situation encountered. Your response should contain a brief summary of your situation, ended with a clear and concise question.", + ) + + # common commands + PASS = CommandDef( + name="pass", + signature="pass", + desc="Pass and do nothing, if you don't think the plan needs to be updated nor a message to be published or forwarded. The reasons can be the latest message is unnecessary or obsolete, or you want to wait for more information before making a move.", + ) + + @property + def cmd_name(self): + return self.value.name diff --git a/tests/metagpt/roles/di/test_team_leader.py b/tests/metagpt/roles/di/test_team_leader.py new file mode 100644 index 000000000..6dd9ef4a6 --- /dev/null +++ b/tests/metagpt/roles/di/test_team_leader.py @@ -0,0 +1,167 @@ +import pytest + +from metagpt.environment.mgx.mgx_env import MGXEnv +from metagpt.roles import ( + Architect, + Engineer, + ProductManager, + ProjectManager, + QaEngineer, +) +from metagpt.roles.di.data_interpreter import DataInterpreter +from metagpt.roles.di.team_leader import TeamLeader +from metagpt.schema import Message + + +@pytest.fixture +def env(): + test_env = MGXEnv() + tl = TeamLeader() + da = DataInterpreter( + name="David", + profile="Data Analyst", + goal="Take on any data-related tasks, such as data analysis, machine learning, deep learning, web browsing, web scraping, web deployment, terminal operation, git operation, etc.", + react_mode="react", + ) + test_env.add_roles( + [ + tl, + ProductManager(), + Architect(), + ProjectManager(), + Engineer(n_borg=5, use_code_review=True), + QaEngineer(), + da, + ] + ) + return test_env + + +@pytest.mark.asyncio +async def test_plan_for_software_requirement(env): + requirement = "create a 2048 game" + + tl = env.get_role("Team Leader") + env.publish_message(Message(content=requirement, send_to=tl.name)) + await tl.run() + + # TL should assign tasks to 5 members first, then send message to the first assignee, 6 commands in total + assert len(tl.commands) == 6 + plan_cmd = tl.commands[:5] + route_cmd = tl.commands[5] + + task_assignment = [task["args"]["assignee"] for task in plan_cmd] + assert task_assignment == [ + ProductManager().name, + Architect().name, + ProjectManager().name, + Engineer().name, + QaEngineer().name, + ] + + assert route_cmd["command_name"] == "publish_message" + assert route_cmd["args"]["send_to"] == ProductManager().name + + +@pytest.mark.asyncio +async def test_plan_for_data_related_requirement(env): + requirement = "I want to use yolov5 for target detection, yolov5 all the information from the following link, please help me according to the content of the link (https://github.com/ultralytics/yolov5), set up the environment and download the model parameters, and finally provide a few pictures for inference, the inference results will be saved!" + + tl = env.get_role("Team Leader") + env.publish_message(Message(content=requirement, send_to=tl.name)) + await tl.run() + + # TL should assign 1 task to Data Analyst and send message to it + assert len(tl.commands) == 2 + plan_cmd = tl.commands[0] + route_cmd = tl.commands[-1] + + da = env.get_role("Data Analyst") + assert plan_cmd["command_name"] == "append_task" + assert plan_cmd["args"]["assignee"] == da.name + + assert route_cmd["command_name"] == "publish_message" + assert "https://github.com" in route_cmd["args"]["content"] # necessary info must be in the message + assert route_cmd["args"]["send_to"] == da.name + + +@pytest.mark.asyncio +async def test_plan_for_mixed_requirement(env): + requirement = "Search the web for the new game 2048X, then replicate it" + + tl = env.get_role("Team Leader") + env.publish_message(Message(content=requirement, send_to=tl.name)) + await tl.run() + + # TL should assign 6 tasks, first to Data Analyst to search the web, following by the software team sequence + # TL should send message to Data Analyst after task assignment + assert len(tl.commands) == 7 + plan_cmd = tl.commands[:6] + route_cmd = tl.commands[-1] + + task_assignment = [task["args"]["assignee"] for task in plan_cmd] + da = env.get_role("Data Analyst") + assert task_assignment == [ + da.name, + ProductManager().name, + Architect().name, + ProjectManager().name, + Engineer().name, + QaEngineer().name, + ] + + assert route_cmd["command_name"] == "publish_message" + assert route_cmd["args"]["send_to"] == da.name + + +PRD_MSG_CONTENT = """{'docs': {'20240424153821.json': {'root_path': 'docs/prd', 'filename': '20240424153821.json', 'content': '{"Language":"en_us","Programming Language":"Python","Original Requirements":"create a 2048 game","Project Name":"game_2048","Product Goals":["Develop an intuitive and addictive 2048 game variant","Ensure the game is accessible and performs well on various devices","Design a visually appealing and modern user interface"],"User Stories":["As a player, I want to be able to undo my last move so I can correct mistakes","As a player, I want to see my high scores to track my progress over time","As a player, I want to be able to play the game without any internet connection"],"Competitive Analysis":["2048 Original: Classic gameplay, minimalistic design, lacks social sharing features","2048 Hex: Unique hexagon board, but not mobile-friendly","2048 Multiplayer: Offers real-time competition, but overwhelming ads","2048 Bricks: Innovative gameplay with bricks, but poor performance on older devices","2048.io: Multiplayer battle royale mode, but complicated UI for new players","2048 Animated: Animated tiles add fun, but the game consumes a lot of battery","2048 3D: 3D version of the game, but has a steep learning curve"],"Competitive Quadrant Chart":"quadrantChart\\n title \\"User Experience and Feature Set of 2048 Games\\"\\n x-axis \\"Basic Features\\" --> \\"Rich Features\\"\\n y-axis \\"Poor Experience\\" --> \\"Great Experience\\"\\n quadrant-1 \\"Need Improvement\\"\\n quadrant-2 \\"Feature-Rich but Complex\\"\\n quadrant-3 \\"Simplicity with Poor UX\\"\\n quadrant-4 \\"Balanced\\"\\n \\"2048 Original\\": [0.2, 0.7]\\n \\"2048 Hex\\": [0.3, 0.4]\\n \\"2048 Multiplayer\\": [0.6, 0.5]\\n \\"2048 Bricks\\": [0.4, 0.3]\\n \\"2048.io\\": [0.7, 0.4]\\n \\"2048 Animated\\": [0.5, 0.6]\\n \\"2048 3D\\": [0.6, 0.3]\\n \\"Our Target Product\\": [0.8, 0.9]","Requirement Analysis":"The game must be engaging and retain players, which requires a balance of simplicity and challenge. Accessibility on various devices is crucial for a wider reach. A modern UI is needed to attract and retain the modern user. The ability to play offline is important for users on the go. High score tracking and the ability to undo moves are features that will enhance user experience.","Requirement Pool":[["P0","Implement core 2048 gameplay mechanics"],["P0","Design responsive UI for multiple devices"],["P1","Develop undo move feature"],["P1","Integrate high score tracking system"],["P2","Enable offline gameplay capability"]],"UI Design draft":"The UI will feature a clean and modern design with a minimalist color scheme. The game board will be center-aligned with smooth tile animations. Score and high score will be displayed at the top. Undo and restart buttons will be easily accessible. The design will be responsive to fit various screen sizes.","Anything UNCLEAR":"The monetization strategy for the game is not specified. Further clarification is needed on whether the game should include advertisements, in-app purchases, or be completely free."}'}}}""" +DESIGN_CONTENT = """{"docs":{"20240424214432.json":{"root_path":"docs/system_design","filename":"20240424214432.json","content":"{\\"Implementation approach\\":\\"We will develop the 2048 game using Python, leveraging the pygame library for rendering the game interface and handling user input. This library is suitable for creating games and is widely used in the open-source community. We will ensure that the game logic is separated from the UI code to maintain a clean architecture. The game will be designed to be responsive and accessible on both desktop and mobile devices using scalable dimensions and touch-friendly controls.\\",\\"File list\\":[\\"main.py\\",\\"game.py\\",\\"ui.py\\",\\"constants.py\\",\\"logic.py\\"],\\"Data structures and interfaces\\":\\"\\\\nclassDiagram\\\\n class Main {\\\\n +main() void\\\\n }\\\\n class Game {\\\\n -UI ui\\\\n -Logic logic\\\\n +start_game() void\\\\n +restart_game() void\\\\n }\\\\n class UI {\\\\n -current_score int\\\\n -high_score int\\\\n +draw_board(board: list) void\\\\n +update_score(score: int) void\\\\n +show_game_over() void\\\\n }\\\\n class Logic {\\\\n -board list\\\\n -score int\\\\n +move(direction: str) bool\\\\n +check_game_over() bool\\\\n +get_current_score() int\\\\n +get_high_score() int\\\\n +reset_game() void\\\\n }\\\\n class Constants {\\\\n +BOARD_SIZE int\\\\n +INITIAL_TILES int\\\\n }\\\\n Main --> Game\\\\n Game --> UI\\\\n Game --> Logic\\\\n\\",\\"Program call flow\\":\\"\\\\nsequenceDiagram\\\\n participant M as Main\\\\n participant G as Game\\\\n participant UI as UI\\\\n participant L as Logic\\\\n M->>G: start_game()\\\\n loop Game Loop\\\\n G->>UI: draw_board(board)\\\\n G->>L: move(direction)\\\\n alt if move successful\\\\n L-->>G: return true\\\\n G->>UI: update_score(score)\\\\n else if move not successful\\\\n L-->>G: return false\\\\n end\\\\n G->>L: check_game_over()\\\\n alt if game over\\\\n L-->>G: return true\\\\n G->>UI: show_game_over()\\\\n G->>G: restart_game()\\\\n else\\\\n L-->>G: return false\\\\n end\\\\n end\\\\n\\",\\"Anything UNCLEAR\\":\\"Clarification needed on the specific touch-friendly controls for mobile devices and how they will be implemented using pygame.\\"}"}}}""" + + +@pytest.mark.asyncio +async def test_plan_update_and_routing(env): + requirement = "create a 2048 game" + + tl = env.get_role("Team Leader") + env.publish_message(Message(content=requirement, send_to=tl.name)) + await tl.run() + + # Assuming Product Manager finishes its task + env.publish_message(Message(content=PRD_MSG_CONTENT, role="Alice(Product Manager)", sent_from="Alice")) + await tl.run() + + # TL should mark current task as finished, and forward Product Manager's message to Architect + plan_cmd = tl.commands[0] + route_cmd = tl.commands[-1] + assert plan_cmd["command_name"] == "finish_current_task" + assert route_cmd["command_name"] == "forward_message" or route_cmd["command_name"] == "publish_message" + + +async def main(): + requirement = [ + # "Create a cli snake game", + # "I want to use yolov5 for target detection, yolov5 all the information from the following link, please help me according to the content of the link(https://github.com/ultralytics/yolov5), set up the environment and download the model parameters, and finally provide a few pictures for inference, the inference results will be saved!", + # "Create a website widget for TODO list management. Users should be able to add, mark as complete, and delete tasks. Include features like prioritization, due dates, and categories. Make it visually appealing, responsive, and user-friendly. Use HTML, CSS, and JavaScript. Consider additional features like notifications or task export. Keep it simple and enjoyable for users.dont use vue or react.dont use third party library, use localstorage to save data", + # "Search the web for the new game 2048X, then replicate it", + # """从36kr创投平台https://pitchhub.36kr.com/financing-flash 所有初创企业融资的信息, **注意: 这是一个中文网站**; + # 下面是一个大致流程, 你会根据每一步的运行结果对当前计划中的任务做出适当调整: + # 1. 爬取并本地保存html结构; + # 2. 直接打印第7个*`快讯`*关键词后2000个字符的html内容, 作为*快讯的html内容示例*; + # 3. 反思*快讯的html内容示例*中的规律, 设计正则匹配表达式来获取*`快讯`*的标题、链接、时间; + # 4. 筛选最近3天的初创企业融资*`快讯`*, 以list[dict]形式打印前5个。 + # 5. 将全部结果存在本地csv中 + # """, + """ + I would like to imitate the website available at https://news.youth.cn/gn/202404/t20240406_15178916.htm. Could you please browse through it? + Note: + - don't ignore the image, use https://source.unsplash.com/random to get random images + - use the same text, the same layout, the same color as the original website + if you can not do it, please try to get as close as possible. + """, + ] + tl.put_message(Message(requirement[0])) + await tl._observe() + await tl._think() + + +# asyncio.run(main())