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create_tables.py
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import psycopg2
from sql_queries import create_table_queries, drop_table_queries
import yaml
from helpers import *
def create_database():
"""
- Creates and connects to the sparkifydb
- Returns the connection and cursor to sparkifydb
Arguments:
None
Returns:
cur: the cursor object.
conn: connection to the database.
"""
# get db config from yml file
host, db, user, password = get_db_configs("db_config.yml")
# connect to default database
conn = psycopg2.connect(f"host={host} dbname={db} user={user} password={password}")
conn.set_session(autocommit=True)
cur = conn.cursor()
# create sparkify database with UTF8 encoding
cur.execute("DROP DATABASE IF EXISTS sparkifydb")
cur.execute("CREATE DATABASE sparkifydb WITH ENCODING 'utf8' TEMPLATE template0")
# close connection to default database
conn.close()
# connect to sparkify database
conn = psycopg2.connect(
f"host={host} dbname=sparkifydb user={user} password={password}"
)
cur = conn.cursor()
return cur, conn
def drop_tables(cur, conn):
"""
Drops each table using the queries in `drop_table_queries` list.
Arguments:
cur: the cursor object.
conn: connection to the database.
Returns:
None
"""
for query in drop_table_queries:
cur.execute(query)
conn.commit()
def create_tables(cur, conn):
"""
Creates each table using the queries in `create_table_queries` list.
Arguments:
cur: the cursor object.
conn: connection to the database.
Returns:
None
"""
for query in create_table_queries:
cur.execute(query)
conn.commit()
def main():
"""
- Drops (if exists) and Creates the sparkify database.
- Establishes connection with the sparkify database and gets
cursor to it.
- Drops all the tables.
- Creates all tables needed.
- Finally, closes the connection.
"""
cur, conn = create_database()
drop_tables(cur, conn)
create_tables(cur, conn)
conn.close()
if __name__ == "__main__":
main()