how to pickle logger

from sklearn.base import BaseEstimator, TransformerMixin

class LoggerMixin():
    @property
    def logger(self):
        return logging.getLogger()
    
class TestClass(BaseEstimator,TransformerMixin,LoggerMixin):
    def __init__(self, datatype_dict):
        self.datatype_dict = datatype_dict

    def fit(self, X, y=None):
        return self

    def transform(self, X, y=None):
        print(self.datatype_dict)
        self.logger.info("transforming datatypes....")
        return X.astype(self.datatype_dict)

How do i start with this functionality in loguru? Im sorry if this is an easy quiestion, but im trying to learn logging in python. Thanks

[Delgan]

Maybe can you use logger.remove()?

for fruit in ["apple", "orange", "banana"]:
    handler_id = logger.add("%s.log" % fruit)
    peel_the_fruit(fruit)
    logger.remove(handler_id)

That way, logs emitted by peel_the_fruit() will only appear on the corresponding log file.

[Delgan]

Hey!

What do you mean by “keeping the flow of the log consistent”?

Adding enqueue=True will prevent your logs to be corrupted when using the logger from multiple processes. Otherwise, logging "ABC" and "DEF" at the same time could result in "ABDEFC" in your log file for example.