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"""
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__)
# if "_auto_class" in output:
# del output["_auto_class"]
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")
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