| """ |
| Base config supporting save and load. Refer to https://github.com/huggingface/transformers/blob/main/src/transformers/configuration_utils.py. |
| Author: md |
| """ |
|
|
| from typing import Dict, Any |
| import copy |
| import json |
|
|
|
|
| class BaseConfig(object): |
| def __init__( |
| self, |
| logger_name: str = None, |
| log_file: str = None, |
| log_mode: str = "a", |
| formatter: str = "%(asctime)s | %(levelname)s | %(message)s", |
| ) -> None: |
| """ |
| params: |
| ------ |
| |
| logger_name: logger name |
| log_file: the file to ouput log. If `None`, output to stdout |
| log_mode: mode to write to the log file, `a` is appending. |
| formatter: logging formatter. |
| """ |
| self.logger_name = logger_name |
| self.log_file = log_file |
| self.log_mode = log_mode |
| self.formatter = formatter |
|
|
| def to_json_string(self) -> Dict[str, Any]: |
| output = self.to_dict() |
| return json.dumps(output) |
|
|
| def to_dict(self) -> Dict[str, Any]: |
| """ |
| Serializes this instance to a Python dictionary. |
| |
| Returns: |
| `Dict[str, Any]`: Dictionary of all the attributes that make up this configuration instance. |
| """ |
| output = copy.deepcopy(self.__dict__) |
| |
| |
|
|
| return output |
|
|
| def from_dict(self, config_dict: Dict[str, Any]) -> None: |
| self.__dict__.update(config_dict) |
|
|
| def save(self, save_path: str, indent: int = 4) -> None: |
| with open(save_path, "w") as writer: |
| json.dump(self.to_dict(), writer, indent=indent) |
|
|
| def load(self, load_path: str) -> None: |
| with open(load_path, "r") as reader: |
| self.__dict__.update(json.load(reader)) |
|
|
|
|
| if __name__ == "__main__": |
| config = BaseConfig() |
|
|
| config.from_dict({"a": 1, "b": 2, "c": "test", "d": True, "e": 3.2}) |
| config.save("../../test/test1.json") |
| config.load("../../test/test1.json") |
| config.save("../../test/test2.json") |
|
|
