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33 lines
1.1 KiB
33 lines
1.1 KiB
import psycopg2
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import csv
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from datetime import datetime
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import creds
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# assign secrets to variables
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dbhost = creds.dblogin['host']
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database = creds.dblogin['db']
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username = creds.dblogin['username']
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password = creds.dblogin['password']
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port = creds.dblogin['port']
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conn = psycopg2.connect(f"host={dbhost} dbname={database} user={username} password={password} port={port}")
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cur = conn.cursor()
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# take the source data csv and upload to the database.
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# using date variable to choose file
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data_date = "20200831"
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source_file = "./source_data/covid-19_" +data_date+"_zip.csv"
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with open(source_file, 'r') as f:
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reader = csv.reader(f)
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next(reader) # Skip the header row.
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for row in reader:
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cur.execute(
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"INSERT INTO king_county_covid19_zip(date_data, zipcode, population, tests, test_rate, \
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positives, positive_rate, hospitalizations, hospitalization_rate, deaths, death_rate) \
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)",
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(data_date,row[0],row[1],row[2],row[3],row[4],row[5],row[6],row[7],row[8],row[9])
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)
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conn.commit()
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