networkSecuritySystem/main.py at main · pycoder49/networkSecuritySystem · GitHub

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from network_security.components.data_ingestion import DataIngestion
from network_security.components.data_validation import DataValidation
from network_security.components.data_transformation import DataTransformation
from network_security.components.model_trainer import ModelTrainer
from network_security.exceptions.exception import NetworkSecurityException
from network_security.logging.logger import logging
from network_security.entity.config_entity import (
    TrainingPipelineConfig,
    DataIngestionConfig,
    DataValidationConfig,
    DataTransformationConfig,
    ModelTrainerConfig
)
import sys


if __name__ == "__main__":
    try:
        logging.info("Entered main try block")
        logging.info("Started data ingestion")

        training_pipeline_config = TrainingPipelineConfig()

        # data ingestion configuration
        data_ingestion_config = DataIngestionConfig(training_pipeline_config=training_pipeline_config)
        data_ingestion = DataIngestion(data_ingestion_config=data_ingestion_config)

        # initiating the data ingestion process
        logging.info("Initiating data ingestion")
        data_ingestion_artifact = data_ingestion.initiate_data_ingestion()
        print(f"Data Ingestion Artifact: \n{data_ingestion_artifact} \n")
        logging.info("Data ingestion completed")

        # data validation configuration
        data_validation_config = DataValidationConfig(training_pipeline_config=training_pipeline_config)
        data_validation = DataValidation(
            data_ingestion_artifact = data_ingestion_artifact,
            data_validation_config = data_validation_config
        )

        # initiating data validation
        logging.info("Initiating data validation")
        data_validation_artifact = data_validation.initiate_data_validation()
        print(f"Data Validation Artifact: \n{data_validation_artifact} \n")

        # data transformation configuration
        data_transformation_config = DataTransformationConfig(training_pipeline_config=training_pipeline_config)
        data_transformation = DataTransformation(
            data_validation_artifact = data_validation_artifact,
            data_transformation_config = data_transformation_config
        )

        # initiating data transformation
        logging.info("Initiating data transformation")
        data_transformation_artifact = data_transformation.initiate_data_transformation()
        print(f"Data Transformation Artifact: \n{data_transformation_artifact} \n")

        # model trainer configuration
        model_trainer_config = ModelTrainerConfig(training_pipeline_config=training_pipeline_config)
        model_trainer = ModelTrainer(
            data_transformation_artifact = data_transformation_artifact,
            model_trainer_config = model_trainer_config
        )

        # initiating model trainer
        logging.info("Initiating model trainer")
        model_trainer_artifact = model_trainer.initiate_model_trainer()
        print(f"Model Trainer Artifact: \n{model_trainer_artifact} \n")


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