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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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