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etl.py
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etl.py
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"""Populate staging, fact, and dimension tables."""
import configparser
import psycopg2
from sql_queries import copy_table_queries, insert_table_queries
def load_staging_tables(cur, conn):
"""
Populate staging tables using data from S3.
Args:
conn: (connection) instance of connection class
cur: (cursor) instance of cursor class
Returns:
none
"""
for query in copy_table_queries:
cur.execute(query)
conn.commit()
def insert_tables(cur, conn):
"""
Populate fact and dimension tables using staging tables.
Args:
conn: (connection) instance of connection class
cur: (cursor) instance of cursor class
Returns:
none
"""
for query in insert_table_queries:
cur.execute(query)
conn.commit()
def main():
"""Parse config file and establish connection with Postgres DB, call functions, close connection."""
config = configparser.ConfigParser()
config.read('dwh.cfg')
conn = psycopg2.connect("host={} dbname={} user={} password={} port={}".format(*config['CLUSTER'].values()))
cur = conn.cursor()
load_staging_tables(cur, conn)
insert_tables(cur, conn)
conn.close()
if __name__ == "__main__":
main()