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https://github.com/johndoe6345789/AutoMetabuilder.git
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- Implement core components: CLI argument parsing, environment loading, GitHub service creation, and logging configuration. - Add support for OpenAI client setup and model resolution. - Develop SDLC context loader from GitHub and repository files. - Implement workflow context and engine builders. - Introduce major workflow packages: `game_tick_loop` and `contextual_iterative_loop`. - Update localization files with new package descriptions and labels. - Streamline web navigation by loading items from a dedicated JSON file.
30 lines
782 B
Python
30 lines
782 B
Python
from __future__ import annotations
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from pathlib import Path
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def get_env_vars() -> dict[str, str]:
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env_path = Path(".env")
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if not env_path.exists():
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return {}
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result: dict[str, str] = {}
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for raw in env_path.read_text(encoding="utf-8").splitlines():
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line = raw.strip()
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if not line or line.startswith("#"):
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continue
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if "=" not in line:
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continue
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key, value = line.split("=", 1)
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value = value.strip().strip("'\"")
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result[key.strip()] = value
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return result
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def persist_env_vars(updates: dict[str, str]) -> None:
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from dotenv import set_key
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env_path = Path(".env")
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env_path.touch(exist_ok=True)
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for key, value in updates.items():
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set_key(env_path, key, value)
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