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https://github.com/johndoe6345789/AutoMetabuilder.git
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johndoe6345789
877ba64de8
- 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
881 B
Python
30 lines
881 B
Python
"""Logging configuration with TRACE support."""
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import logging
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import os
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TRACE_LEVEL = 5
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def configure_logging() -> None:
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"""Configure logging with TRACE support."""
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logging.addLevelName(TRACE_LEVEL, "TRACE")
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if not hasattr(logging, "TRACE"):
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setattr(logging, "TRACE", TRACE_LEVEL)
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def trace(self, message, *args, **kwargs):
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if self.isEnabledFor(TRACE_LEVEL):
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self.log(TRACE_LEVEL, message, *args, **kwargs)
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logging.Logger.trace = trace # type: ignore[attr-defined]
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level_name = os.environ.get("LOG_LEVEL", "INFO").upper()
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level = getattr(logging, level_name, logging.INFO)
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logging.basicConfig(
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level=level,
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
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handlers=[
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logging.FileHandler("autometabuilder.log"),
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logging.StreamHandler()
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]
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)
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