main.py

from textSummarizer.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
from textSummarizer.pipeline.stage_02_data_validation import DataValidationTrainingPipeline
from textSummarizer.pipeline.stage_03_data_transformation import DataTransformationTrainingPipeline
from textSummarizer.pipeline.stage_04_model_trainer import ModelTrainerTrainingPipeline
from textSummarizer.pipeline.stage_05_model_evaluation import ModelEvaluationTrainingPipeline
from textSummarizer.logging import logger


if __name__ == "__main__":
    STAGE_NAME = "Data Ingestion Stage"
    try:
        logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
        data_ingestion = DataIngestionTrainingPipeline()
        data_ingestion.main()
        logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx============x")
    except Exception as e:
        logger.exception(e)
        raise e


    STAGE_NAME = "Data Validation Stage"
    try:
        logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
        data_validation = DataValidationTrainingPipeline()
        data_validation.main()
        logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx============x")
    except Exception as e:
        logger.exception(e)
        raise e


    STAGE_NAME = "Data Transformation Stage"
    try:
        logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
        data_transformation = DataTransformationTrainingPipeline()
        data_transformation.main()
        logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx============x")
    except Exception as e:
        logger.exception(e)
        raise e


    STAGE_NAME = "Model Trainer Stage"
    try:
        logger.info(f"********************************")
        logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
        model_trainer = ModelTrainerTrainingPipeline()
        model_trainer.main()
        logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx============x")
    except Exception as e:
        logger.exception(e)
        raise e


    STAGE_NAME = "Model Evaluation Stage"
    try:
        logger.info(f"********************************")
        logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
        model_evaluation = ModelEvaluationTrainingPipeline()
        model_evaluation.main()
        logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx============x")
    except Exception as e:
        logger.exception(e)
        raise e