main.py

from networksecurity.exception.exception import NetworkSecurityException
from networksecurity.logging.logger import logging
from networksecurity.entity.config_entity import DataIngestionConfig
from networksecurity.entity.config_entity import DataValidationConfig
from networksecurity.components.data_validation import DataValidation
from networksecurity.entity.config_entity import TrainingPipelineConfig

from networksecurity.components.data_ingestion import DataIngestion
from networksecurity.components.data_transformation import DataTransformation
from networksecurity.entity.config_entity import DataTransformationConfig

from networksecurity.components.model_trainer import ModelTrainer
from networksecurity.entity.config_entity import ModelTrainerConfig

import sys

if __name__=='__main__':
    try:
        trainingpipelineconfig=TrainingPipelineConfig()
        dataingestionconfig=DataIngestionConfig(trainingpipelineconfig)
        data_ingestion=DataIngestion(dataingestionconfig)
        logging.info("Initiate the data ingestion")
        dataingestionartifact=data_ingestion.initiate_data_ingestion()
        logging.info("Data Initiation Completed")
        print(dataingestionartifact)

        datavalidationconfig = DataValidationConfig(trainingpipelineconfig)
        data_validation  = DataValidation(dataingestionartifact, datavalidationconfig)
        logging.info("Initiate the data validation")
        data_validation_artifact = data_validation.initiate_data_validation()
        logging.info("Data Validation Completed")
        print(data_validation_artifact)

        datatransformationconfig = DataTransformationConfig(trainingpipelineconfig) 
        data_transformation = DataTransformation(data_validation_artifact, datatransformationconfig)
        logging.info("Initiate the data transformation")
        data_transformation_artifact = data_transformation.initiate_data_transformation()
        logging.info("Data Transformation Completed")
        print(data_transformation_artifact)

        logging.info("Model Training sstared")
        model_trainer_config=ModelTrainerConfig(trainingpipelineconfig)
        model_trainer=ModelTrainer(model_trainer_config=model_trainer_config,data_transformation_artifact=data_transformation_artifact)
        model_trainer_artifact=model_trainer.initiate_model_trainer()

        logging.info("Model Training artifact created")

    except Exception as e:
        raise NetworkSecurityException(e,sys)