# 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 numbers
from typing import Any, Dict


def concat_dict_to_str(dict: Dict[str, Any], step: int) -> str:
    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):
        pass

    def flush(self):
        pass

    def log(self, data: Dict[str, Any], step: int) -> None:
        print(concat_dict_to_str(data, step=step), flush=True)
