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import asyncio |
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from pathlib import Path |
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import agentops |
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import typer |
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from metagpt.const import CONFIG_ROOT |
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from metagpt.utils.project_repo import ProjectRepo |
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app = typer.Typer(add_completion=False, pretty_exceptions_show_locals=False) |
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def generate_repo( |
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idea, |
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investment=3.0, |
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n_round=5, |
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code_review=True, |
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run_tests=False, |
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implement=True, |
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project_name="", |
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inc=False, |
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project_path="", |
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reqa_file="", |
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max_auto_summarize_code=0, |
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recover_path=None, |
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) -> ProjectRepo: |
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"""Run the startup logic. Can be called from CLI or other Python scripts.""" |
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from metagpt.config2 import config |
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from metagpt.context import Context |
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from metagpt.roles import ( |
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Architect, |
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Engineer, |
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ProductManager, |
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ProjectManager, |
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QaEngineer, |
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) |
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from metagpt.team import Team |
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if config.agentops_api_key != "": |
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agentops.init(config.agentops_api_key, tags=["software_company"]) |
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config.update_via_cli(project_path, project_name, inc, reqa_file, max_auto_summarize_code) |
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ctx = Context(config=config) |
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if not recover_path: |
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company = Team(context=ctx) |
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company.hire( |
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[ |
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ProductManager(), |
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Architect(), |
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ProjectManager(), |
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] |
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) |
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if implement or code_review: |
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company.hire([Engineer(n_borg=5, use_code_review=code_review)]) |
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if run_tests: |
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company.hire([QaEngineer()]) |
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if n_round < 8: |
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n_round = 8 |
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else: |
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stg_path = Path(recover_path) |
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if not stg_path.exists() or not str(stg_path).endswith("team"): |
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raise FileNotFoundError(f"{recover_path} not exists or not endswith `team`") |
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company = Team.deserialize(stg_path=stg_path, context=ctx) |
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idea = company.idea |
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company.invest(investment) |
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company.run_project(idea) |
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asyncio.run(company.run(n_round=n_round)) |
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if config.agentops_api_key != "": |
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agentops.end_session("Success") |
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return ctx.repo |
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@app.command("", help="Start a new project.") |
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def startup( |
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idea: str = typer.Argument(None, help="Your innovative idea, such as 'Create a 2048 game.'"), |
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investment: float = typer.Option(default=3.0, help="Dollar amount to invest in the AI company."), |
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n_round: int = typer.Option(default=5, help="Number of rounds for the simulation."), |
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code_review: bool = typer.Option(default=True, help="Whether to use code review."), |
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run_tests: bool = typer.Option(default=False, help="Whether to enable QA for adding & running tests."), |
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implement: bool = typer.Option(default=True, help="Enable or disable code implementation."), |
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project_name: str = typer.Option(default="", help="Unique project name, such as 'game_2048'."), |
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inc: bool = typer.Option(default=False, help="Incremental mode. Use it to coop with existing repo."), |
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project_path: str = typer.Option( |
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default="", |
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help="Specify the directory path of the old version project to fulfill the incremental requirements.", |
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), |
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reqa_file: str = typer.Option( |
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default="", help="Specify the source file name for rewriting the quality assurance code." |
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), |
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max_auto_summarize_code: int = typer.Option( |
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default=0, |
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help="The maximum number of times the 'SummarizeCode' action is automatically invoked, with -1 indicating " |
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"unlimited. This parameter is used for debugging the workflow.", |
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), |
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recover_path: str = typer.Option(default=None, help="recover the project from existing serialized storage"), |
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init_config: bool = typer.Option(default=False, help="Initialize the configuration file for MetaGPT."), |
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): |
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"""Run a startup. Be a boss.""" |
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if init_config: |
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copy_config_to() |
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return |
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if idea is None: |
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typer.echo("Missing argument 'IDEA'. Run 'metagpt --help' for more information.") |
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raise typer.Exit() |
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return generate_repo( |
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idea, |
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investment, |
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n_round, |
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code_review, |
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run_tests, |
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implement, |
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project_name, |
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inc, |
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project_path, |
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reqa_file, |
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max_auto_summarize_code, |
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recover_path, |
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) |
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DEFAULT_CONFIG = """# Full Example: https://github.com/geekan/MetaGPT/blob/main/config/config2.example.yaml |
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# Reflected Code: https://github.com/geekan/MetaGPT/blob/main/metagpt/config2.py |
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# Config Docs: https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html |
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llm: |
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api_type: "openai" # or azure / ollama / groq etc. |
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model: "gpt-4-turbo" # or gpt-3.5-turbo |
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base_url: "https://api.openai.com/v1" # or forward url / other llm url |
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api_key: "YOUR_API_KEY" |
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""" |
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def copy_config_to(): |
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"""Initialize the configuration file for MetaGPT.""" |
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target_path = CONFIG_ROOT / "config2.yaml" |
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target_path.parent.mkdir(parents=True, exist_ok=True) |
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if target_path.exists(): |
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backup_path = target_path.with_suffix(".bak") |
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target_path.rename(backup_path) |
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print(f"Existing configuration file backed up at {backup_path}") |
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target_path.write_text(DEFAULT_CONFIG, encoding="utf-8") |
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print(f"Configuration file initialized at {target_path}") |
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if __name__ == "__main__": |
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app() |
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