38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
from insert_file_contents import insert_file_contents
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import psycopg2
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import os
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# read data from environment if present
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supabase_string = os.getenv('CONNECTION')
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env_path = "../../.env"
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fd = os.open(env_path, os.O_RDONLY)
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n = 300
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file_data = os.read(fd, n)
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parsed_string = ""
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# convert each ASCII value to its corresponding character
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for c in file_data:
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parsed_string = parsed_string + chr(c)
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start = parsed_string.find('postgres')
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end = parsed_string.find('EXPRESS')
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# receive conn string from env
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constring = parsed_string[start:end]
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os.close(fd)
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# connect to local database instance and open a cursor
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conn = psycopg2.connect("dbname=e-commerce-092122 user=mikayladobson")
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cur = conn.cursor()
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print("Now attempting to populate database...")
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# read contents of each file into postgres
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insert_file_contents(conn, cur, "./data/categories.csv", 'category')
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insert_file_contents(conn, cur, "./data/regions.csv", 'region')
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insert_file_contents(conn, cur, "./data/products.csv", 'product')
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print("Insertions executed successfully.")
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print("Database preparations complete!") |