external/Metric3D/training/mono/utils/logger.py

import atexit
import logging
import os
import sys
import time
import torch
from termcolor import colored

__all__ = ["setup_logger", ]

class _ColorfulFormatter(logging.Formatter):
    def __init__(self, *args, **kwargs):
        self._root_name = kwargs.pop("root_name") + "."
        self._abbrev_name = kwargs.pop("abbrev_name", "")
        if len(self._abbrev_name):
            self._abbrev_name = self._abbrev_name + "."
        super(_ColorfulFormatter, self).__init__(*args, **kwargs)

    def formatMessage(self, record):
        record.name = record.name.replace(self._root_name, self._abbrev_name)
        log = super(_ColorfulFormatter, self).formatMessage(record)
        if record.levelno == logging.WARNING:
            prefix = colored("WARNING", "red", attrs=["blink"])
        elif record.levelno == logging.ERROR or record.levelno == logging.CRITICAL:
            prefix = colored("ERROR", "red", attrs=["blink", "underline"])
        else:
            return log
        return prefix + " " + log


def setup_logger(
    output=None, distributed_rank=0, *, name='mono@YvanYin', color=True, abbrev_name=None
):
    """
    Initialize the detectron2 logger and set its verbosity level to "DEBUG".
    Args:
        output (str): a file name or a directory to save log. If None, will not save log file.
            If ends with ".txt" or ".log", assumed to be a file name.
            Otherwise, logs will be saved to `output/log.txt`.
        abbrev_name (str): an abbreviation of the module, to avoid long names in logs.
            Set to "" to not log the root module in logs.
            By default, will abbreviate "detectron2" to "d2" and leave other
            modules unchanged.
    Returns:
        logging.Logger: a logger
    """
    logger = logging.getLogger()
    logger.setLevel(logging.DEBUG)
    logger.propagate = False

    if abbrev_name is None:
        abbrev_name = "d2" 

    plain_formatter = logging.Formatter(
        "[%(asctime)s] %(name)s %(levelname)s: %(message)s", datefmt="%m/%d %H:%M:%S"
    )
    # stdout logging: master only
    if distributed_rank == 0:
        ch = logging.StreamHandler(stream=sys.stdout)
        ch.setLevel(logging.DEBUG)
        if color:
            formatter = _ColorfulFormatter(
                colored("[%(asctime)s %(name)s]: ", "green") + "%(message)s",
                datefmt="%m/%d %H:%M:%S",
                root_name=name,
                abbrev_name=str(abbrev_name),
            )
        else:
            formatter = plain_formatter
        ch.setFormatter(formatter)
        logger.addHandler(ch)

    # file logging: all workers
    if output is not None:
        if output.endswith(".txt") or output.endswith(".log"):
            filename = output
        else:
            filename = os.path.join(output, "log.txt")
        if distributed_rank > 0:
            filename = filename + ".rank{}".format(distributed_rank)
        os.makedirs(os.path.dirname(filename), exist_ok=True)

        # fh = logging.FileHandler(output, 'w')
        fh = logging.StreamHandler(_cached_log_stream(filename))
        fh.setLevel(logging.DEBUG)
        fh.setFormatter(plain_formatter)
        logger.addHandler(fh)


    return logger


from iopath.common.file_io import PathManager as PathManagerBase



PathManager = PathManagerBase()

# cache the opened file object, so that different calls to `setup_logger`
# with the same file name can safely write to the same file.
def _cached_log_stream(filename):
    # use 1K buffer if writing to cloud storage
    io = PathManager.open(filename, "a", buffering=1024 if "://" in filename else -1)
    atexit.register(io.close)
    return io