ingest_zones.py

import pandas as pd
from sqlalchemy import create_engine
import argparse
import os


def main(params):
    user = params.user
    password = params.password
    host = params.host
    port = params.port
    db = params.db
    table_name = params.table_name
    url = params.url
    csv_name = "taxi_zone_lookup.csv"

    # download the csv
    #os.system(f"wget {url} -O {csv_name}")

    engine = create_engine(f'postgresql://{user}:{password}@{host}:{port}/{db}')

    engine = engine.connect()


    df = pd.read_csv(csv_name)

    #df.head(n=0).to_sql(name=table_name, con=engine, if_exists='replace')

    df.to_sql(name=table_name, con=engine, if_exists='append')

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description='Ingest CSV data to Postgres.')

    parser.add_argument('--user', help='user name for postgres')
    parser.add_argument('--password', help='password for postgres')
    parser.add_argument('--host', help='host for postgres')
    parser.add_argument('--port', help='port for postgres')
    parser.add_argument('--db', help='database name for postgres')
    parser.add_argument('--table_name', help='name of the table where results will be written to')
    parser.add_argument('--url', help='url of the csv file')

    args = parser.parse_args()

    main(args)