""" Inspired by https://github.com/SebiSebi/friendlylog """ import logging import sys from copy import copy from typing import Union from colored import attr, fg DEBUG = "debug" INFO = "info" WARNING = "warning" ERROR = "error" CRITICAL = "critical" LOG_LEVELS = { DEBUG: logging.DEBUG, INFO: logging.INFO, WARNING: logging.WARNING, ERROR: logging.ERROR, CRITICAL: logging.CRITICAL, } class _Formatter(logging.Formatter): ''' Format the output log. ''' def __init__(self, colorize=False, *args, **kwargs): super(_Formatter, self).__init__(*args, **kwargs) self.colorize = colorize @staticmethod def _process(msg, loglevel, colorize): loglevel = str(loglevel).lower() if loglevel not in LOG_LEVELS: raise RuntimeError(f"{loglevel} should be one of {LOG_LEVELS}." ) # pragma: no cover msg = f"{str(loglevel).upper()}: {str(msg)}" if not colorize: return msg if loglevel == DEBUG: return "{}{}{}".format(fg(5), msg, attr(0)) # noqa: E501 if loglevel == INFO: return "{}{}{}".format(fg(4), msg, attr(0)) # noqa: E501 if loglevel == WARNING: return "{}{}{}{}{}".format(fg(214), attr(1), msg, attr(21), attr(0)) # noqa: E501 if loglevel == ERROR: return "{}{}{}{}{}".format(fg(202), attr(1), msg, attr(21), attr(0)) # noqa: E501 if loglevel == CRITICAL: return "{}{}{}{}{}".format(fg(196), attr(1), msg, attr(21), attr(0)) # noqa: E501 def format(self, record): record = copy(record) loglevel = record.levelname record.msg = _Formatter._process(record.msg, loglevel, self.colorize) return super(_Formatter, self).format(record) class Logger: def __init__(self, name="default", colorize=False, log_path=None, stream=sys.stdout, level=INFO): self.name = name # Get the logger object; keep it hidden as there's no need to directly access it. self.__logger = logging.getLogger(f"_logger-{name}") self.__logger.propagate = False # Prevent log propagation to parent loggers. self.setLevel(level.lower()) # Use the custom formatter. self.__formatter = _Formatter( colorize=colorize, fmt= "[%(process)d][%(asctime)s.%(msecs)03d @ %(funcName)s] %(message)s", datefmt="%y-%m-%d %H:%M:%S", ) # Install default handler. self.__stream_to_handler = {} self.clear_handlers() self.__main_handler = self.add_handler(stream) # Add file handler if log_path is provided. if log_path: fh = logging.FileHandler(log_path, "w") fh.setFormatter(self.__formatter) # Ensure file handler also uses the custom formatter. self.__logger.addHandler(fh) # sh = logging.StreamHandler() # self.__logger.addHandler(sh) # Install logging functions as direct methods of this class. self.debug = self.__logger.debug self.info = self.__logger.info self.warning = self.__logger.warning self.error = self.__logger.error self.critical = self.__logger.critical def log_function(self): def wrapper(func): def func_wrapper(*args, **kwargs): self.__logger.info( f"calling <{func.__name__}>\n\t args: {args}\n\tkwargs: {kwargs}" ) out = func(*args, **kwargs) self.__logger.info(f"exiting <{func.__name__}>") return out return func_wrapper return wrapper def setLevel(self, level: Union[str, int]) -> None: if isinstance(level, int): self.__logger.setLevel(level) else: if level.lower() not in LOG_LEVELS: raise ValueError(f"level should be one of {LOG_LEVELS}") self.__logger.setLevel(LOG_LEVELS[level.lower()]) def add_handler(self, stream) -> logging.StreamHandler: handler = logging.StreamHandler(stream) handler.setFormatter(self.__formatter) self.__logger.addHandler(handler) self.__stream_to_handler[stream] = handler return handler def remove_handler(self, stream) -> bool: if stream in self.__stream_to_handler: self.__logger.removeHandler(self.__stream_to_handler[stream]) self.__stream_to_handler.pop(stream) return True return False def clear_handlers(self) -> None: self.__logger.handlers = [] self.__stream_to_handler = {} def get_handlers(self) -> list: return self.__logger.handlers # Don't use these unless you know what you are doing @property def inner_logger(self): return self.__logger @property def inner_stream_handler(self): return self.__main_handler @property def inner_formatter(self): return self.__formatter def log_info(args, logger): ''' Output information about the model and training configuration. ''' logger.info('***********************************') logger.info("Dataset: {}".format(args.data.dataset)) logger.info("Trajectory Length: {}".format(args.data.traj_length)) logger.info("Guidance scale: {}".format(args.model.guidance_scale)) logger.info("Number of steps: {}".format( args.diffusion.num_diffusion_timesteps)) logger.info("Beta_schedule: {}".format(args.diffusion.beta_schedule)) logger.info("Beta_strat: {}".format(args.diffusion.beta_start)) logger.info("Beta_end: {}".format(args.diffusion.beta_end)) logger.info("Epochs: {}".format(args.training.n_epochs)) logger.info("batch_size: {}".format(args.training.batch_size)) logger.info('***********************************') return