Fix logging: do not duplicate lines, enable colors in Colab (#156)
parent
041ad20891
commit
668b736031
@ -1 +1,5 @@
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import petals.utils.logging
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__version__ = "1.0alpha1"
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petals.utils.logging.initialize_logs()
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@ -0,0 +1,34 @@
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import importlib
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import os
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from hivemind.utils import logging as hm_logging
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def in_jupyter() -> bool:
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"""Check if the code is run in Jupyter or Colab"""
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try:
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__IPYTHON__
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return True
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except NameError:
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return False
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def initialize_logs():
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"""Initialize Petals logging tweaks. This function is called when you import the `petals` module."""
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# Env var PETALS_LOGGING=False prohibits Petals do anything with logs
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if os.getenv("PETALS_LOGGING", "True").lower() in ("false", "0"):
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return
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if in_jupyter():
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os.environ["HIVEMIND_COLORS"] = "True"
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importlib.reload(hm_logging)
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hm_logging.get_logger().handlers.clear() # Remove extra default handlers on Colab
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hm_logging.use_hivemind_log_handler("in_root_logger")
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# We suppress asyncio error logs by default since they are mostly not relevant for the end user,
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# unless there is env var PETALS_ASYNCIO_LOGLEVEL
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asyncio_loglevel = os.getenv("PETALS_ASYNCIO_LOGLEVEL", "FATAL" if hm_logging.loglevel != "DEBUG" else "DEBUG")
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hm_logging.get_logger("asyncio").setLevel(asyncio_loglevel)
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