from datetime import datetime
import os
from networksecurity.constant import training_pipeline

print(training_pipeline.PIPELINE_NAME)
print(training_pipeline.ARTIFACT_DIR)


class TrainingPipelineConfig:
    def __init__(self,timestamp=datetime.now()):
        timestamp=timestamp.strftime("%m_%d_%Y_%H_M_%S")
        self.pipeline_name = training_pipeline.PIPELINE_NAME
        self.artifact_name = training_pipeline.ARTIFACT_DIR
        self.artifact_dir = os.path.join(self.artifact_name,timestamp)
        self.model_dir = os.path.join("final_model")
        self.timestamp: str = timestamp

class DataIngestionConfig:
    def __init__(self,training_pipeline_config: TrainingPipelineConfig):
        self.data_ingestion_dir:str = os.path.join(
            training_pipeline_config.artifact_dir,training_pipeline.DATA_INGESTION_DIR_NAME
        )
        self.feature_store_file_path: str = os.path.join(
            self.data_ingestion_dir, training_pipeline.DATA_INGESTION_FEATURE_STORE_DIR, training_pipeline.FILE_NAME
        )
        self.training_file_path: str = os.path.join(
            self.data_ingestion_dir, training_pipeline.DATA_INGESTION_INGESTED_DIR, training_pipeline.TRAIN_FILE_NAME
        )
        self.testing_file_path: str = os.path.join(
            self.data_ingestion_dir, training_pipeline.DATA_INGESTION_INGESTED_DIR, training_pipeline.TEST_FILE_NAME
        )
        self.train_test_split_ratio: float = training_pipeline.DATA_INGESTION_TRAIN_TEST_SPLIT_RATION
        self.collection_name: str = training_pipeline.DATA_INGESTION_COLLECTION_NAME
        self.database_name: str = training_pipeline.DATA_INGESTION_DATABASE_NAME


class DataValidationConfig:
    def __init__(self, training_pipeline_config: TrainingPipelineConfig):
        # Main data validation directory
        self.data_validation_dir: str = os.path.join(
            training_pipeline_config.artifact_dir,
            training_pipeline.DATA_VALIDATION_DIR_NAME
        )

        # Valid data directory
        self.valid_data_dir: str = os.path.join(
            self.data_validation_dir,
            training_pipeline.DATA_VALIDATION_VALID_DIR
        )

        # Invalid data directory
        self.invalid_data_dir: str = os.path.join(
            self.data_validation_dir,
            training_pipeline.DATA_VALIDATION_INVALID_DIR
        )

        # Valid train file path
        self.valid_train_file_path: str = os.path.join(
            self.valid_data_dir,
            training_pipeline.TRAIN_FILE_NAME
        )

        # Valid test file path
        self.valid_test_file_path: str = os.path.join(
            self.valid_data_dir,
            training_pipeline.TEST_FILE_NAME
        )

        # Invalid train file path
        self.invalid_train_file_path: str = os.path.join(
            self.invalid_data_dir,
            training_pipeline.TRAIN_FILE_NAME
        )

        # Invalid test file path
        self.invalid_test_file_path: str = os.path.join(
            self.invalid_data_dir,
            training_pipeline.TEST_FILE_NAME
        )

        # Drift report file path
        self.drift_report_file_path: str = os.path.join(
            self.data_validation_dir,
            training_pipeline.DATA_VALIDATION_DRIFT_REPORT_DIR,
            training_pipeline.DATA_VALIDATION_DRIFT_REPORT_FILE_NAME,
        )

class DataTransformationConfig:
    def __init__(self, training_pipeline_config: TrainingPipelineConfig):
        self.data_transformation_dir: str = os.path.join(
            training_pipeline_config.artifact_dir,
            training_pipeline.DATA_TRANSFORMATION_DIR_NAME
        )

        self.transformed_train_file_path: str = os.path.join(
            self.data_transformation_dir,
            training_pipeline.DATA_TRANSFORMATION_TRANSFORMED_DATA_DIR,
            training_pipeline.TRAIN_FILE_NAME.replace("csv", "npy")
        )

        self.transformed_test_file_path: str = os.path.join(
            self.data_transformation_dir,
            training_pipeline.DATA_TRANSFORMATION_TRANSFORMED_DATA_DIR,
            training_pipeline.TEST_FILE_NAME.replace("csv", "npy")
        )

        self.transformed_object_file_path: str = os.path.join(
            self.data_transformation_dir,
            training_pipeline.DATA_TRANSFORMATION_TRANSFORMED_OBJECT_DIR,
            training_pipeline.PREPROCESSING_OBJECT_FILE_NAME
        )

class ModelTrainerConfig:
    def __init__(self, training_pipeline_config: TrainingPipelineConfig):
        self.model_trainer_dir: str = os.path.join(
            training_pipeline_config.artifact_dir, training_pipeline.MODEL_TRAINER_DIR_NAME
        )
        self.trained_model_file_path: str = os.path.join(
            self.model_trainer_dir, training_pipeline.MODEL_TRAINER_TRAINED_MODEL_DIR,
            training_pipeline.MODEL_FILE_NAME
        )
        self.expected_accuracy: float = training_pipeline.MODEL_TRAINER_EXPECTED_SCORE
        self.overfitting_underfitting_threshold = training_pipeline.MODEL_TRAINER_OVER_FITTING_UNDER_FITTING_THRESHOLD