confident-ai--deepeval
wehub-resource-sync
34 行
1.3 KiB
Python
34 行
1.3 KiB
Python
"""
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Minimal logging configuration helpers for DeepEval.
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This module centralizes how the library-level logger ("deepeval") is configured. We
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intentionally keep configuration lightweight so application code retains control
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over handlers and formatters.
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"""
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import logging
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from deepeval.config.settings import get_settings
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def apply_deepeval_log_level() -> None:
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"""
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Apply DeepEval's current log level to the package logger.
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This function reads `LOG_LEVEL` from `deepeval.config.settings.get_settings()`
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and sets the level of the `"deepeval"` logger accordingly. If `LOG_LEVEL` is
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unset (None), INFO is used as a default. The logger's `propagate` flag is set
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to True so records bubble up to the application's handlers. DeepEval does not
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install its own handlers here (a NullHandler is attached in `__init__.py`).
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The function is idempotent and safe to call multiple times. It is invoked
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automatically when settings are first constructed and whenever `LOG_LEVEL`
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is changed via `settings.edit`.
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"""
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settings = get_settings()
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log_level = settings.LOG_LEVEL
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logging.getLogger("deepeval").setLevel(
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log_level if log_level is not None else logging.INFO
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)
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# ensure we bubble up to app handlers
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logging.getLogger("deepeval").propagate = True
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