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# Copyright 2024 Bytedance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
A Ray logger will receive logging info from different processes.
"""
import logging
import numbers
from typing import Dict
def concat_dict_to_str(dict: Dict, step):
output = [f"step:{step}"]
for k, v in dict.items():
if isinstance(v, numbers.Number):
output.append(f"{k}:{v:.3f}")
output_str = " - ".join(output)
return output_str
class LocalLogger:
def __init__(self, remote_logger=None, enable_wandb=False, print_to_console=False):
self.print_to_console = print_to_console
if print_to_console:
print("Using LocalLogger is deprecated. The constructor API will change ")
def flush(self):
pass
def log(self, data, step):
if self.print_to_console:
print(concat_dict_to_str(data, step=step), flush=True)
class DecoratorLoggerBase:
def __init__(self, role: str, logger: logging.Logger = None, level=logging.DEBUG, rank: int = 0, log_only_rank_0: bool = True):
self.role = role
self.logger = logger
self.level = level
self.rank = rank
self.log_only_rank_0 = log_only_rank_0
self.logging_function = self.log_by_logging
if logger is None:
self.logging_function = self.log_by_print
def log_by_print(self, log_str):
if not self.log_only_rank_0 or self.rank == 0:
print(f"{self.role} {log_str}", flush=True)
def log_by_logging(self, log_str):
if self.logger is None:
raise ValueError("Logger is not initialized")
if not self.log_only_rank_0 or self.rank == 0:
self.logger.log(self.level, f"{self.role} {log_str}")
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