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# connections/source_connections.py from sqlalchemy import create_engine def connect_to_source_database1(source_db_connection_string1): engine = create_engine(source_db_connection_string1) return engine def connect_to_source_database2(source_db_connection_string2): engine = create_engine(source_db_connection_string2) return engine # connections/target_connections.py from sqlalchemy import create_engine def connect_to_target_database1(target_db_connection_string1): engine = create_engine(target_db_connection_string1) return engine def connect_to_target_database2(target_db_connection_string2): engine = create_engine(target_db_connection_string2) return engine # Define similar functions for the remaining target databases # extraction/source_extraction.py def extract_data_from_source_database(engine, query): with engine.connect() as connection: result = connection.execute(query) data = result.fetchall() return data # transformation/data_transformation.py def transform_data(data): # Perform data transformation operations here transformed_data = data # Placeholder for actual transformation logic return transformed_data # loading/target_loading.py def load_data_into_target_database(engine, data): with engine.connect() as connection: # Assuming data is a list of tuples or dictionaries connection.execute("BEGIN") for row in data: # Perform data insertion into target database pass connection.execute("COMMIT") # logging/logging.py import logging # Configure logging logging.basicConfig(filename='migration.log', level=logging.INFO) def log_migration_progress(message): logging.info(message) # error_handling/error_handling.py def handle_error(error): # Handle the error appropriately, such as logging, retrying, or raising exceptions pass # validation/data_validation.py def validate_data(data): # Perform data validation operations here validation_result = True # Placeholder for actual validation logic return validation_result
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