mirror of
https://github.com/invoke-ai/InvokeAI
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111 lines
3.4 KiB
Python
111 lines
3.4 KiB
Python
# Copyright (c) 2023 Lincoln D. Stein and The InvokeAI Development Team
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"""invokeai.util.logging
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Logging class for InvokeAI that produces console messages
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Usage:
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from invokeai.backend.util.logging import InvokeAILogger
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logger = InvokeAILogger.getLogger(name='InvokeAI') // Initialization
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(or)
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logger = InvokeAILogger.getLogger(__name__) // To use the filename
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logger.critical('this is critical') // Critical Message
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logger.error('this is an error') // Error Message
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logger.warning('this is a warning') // Warning Message
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logger.info('this is info') // Info Message
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logger.debug('this is debugging') // Debug Message
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Console messages:
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[12-05-2023 20]::[InvokeAI]::CRITICAL --> This is an info message [In Bold Red]
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[12-05-2023 20]::[InvokeAI]::ERROR --> This is an info message [In Red]
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[12-05-2023 20]::[InvokeAI]::WARNING --> This is an info message [In Yellow]
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[12-05-2023 20]::[InvokeAI]::INFO --> This is an info message [In Grey]
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[12-05-2023 20]::[InvokeAI]::DEBUG --> This is an info message [In Grey]
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Alternate Method (in this case the logger name will be set to InvokeAI):
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import invokeai.backend.util.logging as IAILogger
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IAILogger.debug('this is a debugging message')
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"""
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import logging
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# module level functions
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def debug(msg, *args, **kwargs):
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InvokeAILogger.getLogger().debug(msg, *args, **kwargs)
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def info(msg, *args, **kwargs):
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InvokeAILogger.getLogger().info(msg, *args, **kwargs)
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def warning(msg, *args, **kwargs):
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InvokeAILogger.getLogger().warning(msg, *args, **kwargs)
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def error(msg, *args, **kwargs):
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InvokeAILogger.getLogger().error(msg, *args, **kwargs)
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def critical(msg, *args, **kwargs):
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InvokeAILogger.getLogger().critical(msg, *args, **kwargs)
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def log(level, msg, *args, **kwargs):
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InvokeAILogger.getLogger().log(level, msg, *args, **kwargs)
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def disable(level=logging.CRITICAL):
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InvokeAILogger.getLogger().disable(level)
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def basicConfig(**kwargs):
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InvokeAILogger.getLogger().basicConfig(**kwargs)
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def getLogger(name: str = None) -> logging.Logger:
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return InvokeAILogger.getLogger(name)
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class InvokeAILogFormatter(logging.Formatter):
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'''
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Custom Formatting for the InvokeAI Logger
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'''
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# Color Codes
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grey = "\x1b[38;20m"
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yellow = "\x1b[33;20m"
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red = "\x1b[31;20m"
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cyan = "\x1b[36;20m"
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bold_red = "\x1b[31;1m"
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reset = "\x1b[0m"
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# Log Format
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log_format = "[%(asctime)s]::[%(name)s]::%(levelname)s --> %(message)s"
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## More Formatting Options: %(pathname)s, %(filename)s, %(module)s, %(lineno)d
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# Format Map
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FORMATS = {
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logging.DEBUG: cyan + log_format + reset,
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logging.INFO: grey + log_format + reset,
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logging.WARNING: yellow + log_format + reset,
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logging.ERROR: red + log_format + reset,
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logging.CRITICAL: bold_red + log_format + reset
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}
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def format(self, record):
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log_fmt = self.FORMATS.get(record.levelno)
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formatter = logging.Formatter(log_fmt, datefmt="%d-%m-%Y %H:%M:%S")
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return formatter.format(record)
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class InvokeAILogger(object):
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loggers = dict()
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@classmethod
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def getLogger(cls, name: str = 'InvokeAI') -> logging.Logger:
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if name not in cls.loggers:
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logger = logging.getLogger(name)
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logger.setLevel(logging.DEBUG)
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ch = logging.StreamHandler()
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fmt = InvokeAILogFormatter()
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ch.setFormatter(fmt)
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logger.addHandler(ch)
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cls.loggers[name] = logger
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return cls.loggers[name]
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