mirror of
https://github.com/aljazceru/gpt-engineer.git
synced 2025-12-17 12:45:26 +01:00
Simplify archiving process (#469)
* simplify args * Fix tests * Black format
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@@ -1,16 +1,14 @@
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import json
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import logging
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import os
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from pathlib import Path
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import typer
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from gpt_engineer import steps
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from gpt_engineer.ai import AI, fallback_model
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from gpt_engineer.collect import collect_learnings
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from gpt_engineer.db import DB, DBs
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from gpt_engineer.steps import STEPS
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from gpt_engineer.db import DB, DBs, archive
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from gpt_engineer.steps import STEPS, Config as StepsConfig
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app = typer.Typer()
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@@ -20,17 +18,10 @@ def main(
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project_path: str = typer.Argument("example", help="path"),
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model: str = typer.Argument("gpt-4", help="model id string"),
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temperature: float = 0.1,
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steps_config: steps.Config = typer.Option(
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steps.Config.DEFAULT, "--steps", "-s", help="decide which steps to run"
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steps_config: StepsConfig = typer.Option(
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StepsConfig.DEFAULT, "--steps", "-s", help="decide which steps to run"
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),
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verbose: bool = typer.Option(False, "--verbose", "-v"),
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run_prefix: str = typer.Option(
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"",
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help=(
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"run prefix, if you want to run multiple variants of the same project and "
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"later compare them"
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),
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),
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):
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logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
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@@ -41,20 +32,26 @@ def main(
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)
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input_path = Path(project_path).absolute()
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memory_path = input_path / f"{run_prefix}memory"
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workspace_path = input_path / f"{run_prefix}workspace"
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archive_path = input_path / f"{run_prefix}archive"
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memory_path = input_path / "memory"
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workspace_path = input_path / "workspace"
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archive_path = input_path / "archive"
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initial_run = not os.path.exists(memory_path) and not os.path.exists(workspace_path)
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dbs = DBs(
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memory=DB(memory_path),
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logs=DB(memory_path / "logs"),
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input=DB(input_path),
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workspace=DB(workspace_path),
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preprompts=DB(Path(__file__).parent / "preprompts"),
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archive=None if initial_run else DB(archive_path),
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archive=DB(archive_path),
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)
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if steps_config not in [
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StepsConfig.EXECUTE_ONLY,
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StepsConfig.USE_FEEDBACK,
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StepsConfig.EVALUATE,
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]:
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archive(dbs)
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steps = STEPS[steps_config]
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for step in steps:
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messages = step(ai, dbs)
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