main.py

from mlProject import logger
from mlProject.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
from mlProject.pipeline.stage_02_data_ingestion import DataValidationTrainingPipeline
from mlProject.pipeline.stage_03_data_transformation import DataTransformationTrainingPipeline
from mlProject.pipeline.stage_04_model_trainer import ModelTrainingPipeline
from mlProject.pipeline.stage_05_model_evaluation import ModelEvaluationPipeline

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 <<<<<<")
   obj = DataValidationTrainingPipeline()
   obj.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 <<<<<<")
   obj = DataTransformationTrainingPipeline()
   obj.main()
   logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
   logger.exception(e)
   raise e

STAGE_NAME = "Model Training Stage"
try:
   logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
   obj = ModelTrainingPipeline()
   obj.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">>>>>> stage {STAGE_NAME} started <<<<<<")
   obj = ModelEvaluationPipeline()
   obj.main()
   logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
   logger.exception(e)
   raise e