使用 Conda 环境时无法创建日志信息和目录

问：

它应该创建一个包含 train、test 和 data.csv 的“artifacts”文件夹，但事实并非如此。这个问题来自端到端数据科学项目的 Krish Naik 教程。此代码应该是用于拆分训练和测试数据的数据引入代码。

exception.py 和 logger.py 模块存储在父目录中。 这是data_ingestion.py文件代码如下所示：

import os
import sys
from src.exception import CustomException
from src.logger import logging
import pandas as pd

from sklearn.model_selection import train_test_split
from dataclasses import dataclass


@dataclass
class DataIngestionConfig:
    train_data_path: str=os.path.join('artifacts',"train.csv")
    test_data_path: str=os.path.join('artifacts',"test.csv")
    raw_data_path: str=os.path.join('artifacts',"data.csv")

class DataIngestion:
    def __init__(self):
        self.ingestion_config=DataIngestionConfig()

    def initiate_data_ingestion(self):
        logging.info("Entered the data ingestion method or component")
        try:
            df=pd.read_csv('notebook\data\stud.csv')
            logging.info('Read the dataset as dataframe')

            os.makedirs(os.path.dirname(self.ingestion_config.train_data_path), exist_ok=True)

            df.to_csv(self.ingestion_config.raw_data_path, index=False, header=True)
            logging.info("train test split initiated")
            train_set, test_set = train_test_split(df, test_size=0.2, random_state=42)

            train_set.to_csv(self.ingestion_config.train_data_path, index= False, header=True)

            test_set.to_csv(self.ingestion_config.test_data_path, index= False, header=True)
            logging.info("ingestion of data is completed")

            return(
                self.ingestion_config.train_data_path,
                self.ingestion_config.test_data_path
            )

        except Exception as e:
            raise CustomException(e,sys)
        
if __name__=="__main__":
    obj=DataIngestion()
    obj.initiate_data_ingestion

logger.py：

import logging
import os
from datetime import datetime

LOG_FILE=f"{datetime.now().strftime('%m_%d_%Y_%H_%M_%S')}.log"
logs_path=os.path.join(os.getcwd(),"logs",LOG_FILE)
os.makedirs(logs_path,exist_ok=True)

LOG_FILE_PATH=os.path.join(logs_path,LOG_FILE)

logging.basicConfig(
    filename=LOG_FILE_PATH,
    format="[ %(asctime)s ] %(lineno)d %(name)s - %(levelname)s - %(message)s",
    level=logging.INFO,
)

和 exception.py：

import sys
from src.logger import logging

def error_message_detail(error,error_detail:sys):
    _,_,exc_tb=error_detail.exc_info()
    file_name=exc_tb.tb_frame.f_code.co_filename
    error_message="Error occured in python script name [{0}] line number [{1}] error message[{2}]".format(
     file_name,exc_tb.tb_lineno,str(error))

    return error_message

    

class CustomException(Exception):
    def __init__(self,error_message,error_detail:sys):
        super().__init__(error_message)
        self.error_message=error_message_detail(error_message,error_detail=error_detail)
    
    def __str__(self):
        return self.error_message

data_ingestion.py文件运行良好：在此处输入图像描述

但未创建工件目录、train.csv和test.csv。代码或我正在使用的 Conda 环境中是否存在问题？请帮忙