cleanup, refactoring/sep of concerns
This commit is contained in:
5
.gitignore
vendored
5
.gitignore
vendored
@@ -1,5 +1,4 @@
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node_modules/
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*.env
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__pycache__
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.DS_Store
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.env
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config.env
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33
db/util/insert_file_contents.py
Normal file
33
db/util/insert_file_contents.py
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@@ -0,0 +1,33 @@
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import csv
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from psycopg2 import sql
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# function to read from a given csv file into postgres
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def insert_file_contents(conn, cur, file_path, table_name, column_count):
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with open(file_path, 'r', encoding='utf-8-sig') as f:
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reader = csv.reader(f)
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header_names = ""
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first_row_accessed = False
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for row in reader:
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# get row values from first row of reader
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if not first_row_accessed:
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header_names = [item for item in row]
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first_row_accessed = True
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continue
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# execute table insertion for each row of csv based on number of columns
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if column_count == 3:
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cur.execute(sql.SQL("INSERT INTO {table} ({h1}, {h2}, {h3}) VALUES (%s, %s, %s)".format(
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table=table_name,
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h1=header_names[0],
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h2=header_names[1],
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h3=header_names[2]
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)),
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row
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)
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elif column_count == 1:
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cur.execute(sql.SQL("INSERT INTO {table} ({field}) VALUES (%s)".format(table=table_name, field=header_names[0])), row)
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else:
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raise
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conn.commit()
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@@ -1,7 +1,8 @@
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import psycopg2
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from psycopg2 import sql
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import csv
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import os
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from insert_file_contents import insert_file_contents
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from psycopg2 import sql
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# read data from environment if present
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env_path = "../../.env"
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@@ -26,45 +27,9 @@ os.close(fd)
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conn = psycopg2.connect("dbname=e-commerce-092122 user=mikayladobson")
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cur = conn.cursor()
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# read and print data from selection
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cur.execute("SELECT * FROM users;")
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for i in cur.fetchall():
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print(i)
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# function to read from a given csv file into postgres
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def insert_file_contents(file_path, table_name, column_count):
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with open(file_path, 'r', encoding='utf-8-sig') as f:
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reader = csv.reader(f)
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header_names = ""
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first_row_accessed = False
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for row in reader:
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# get row values from first row of reader
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if not first_row_accessed:
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header_names = [item for item in row]
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first_row_accessed = True
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continue
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# execute table insertion for each row of csv based on number of columns
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if column_count == 3:
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cur.execute(sql.SQL("INSERT INTO {table} ({h1}, {h2}, {h3}) VALUES (%s, %s, %s)".format(
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table=table_name,
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h1=header_names[0],
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h2=header_names[1],
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h3=header_names[2]
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)),
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row
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)
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elif column_count == 1:
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cur.execute(sql.SQL("INSERT INTO {table} ({field}) VALUES (%s)".format(table=table_name, field=header_names[0])), row)
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else:
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raise
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conn.commit()
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insert_file_contents("./categories.csv", 'category', 1)
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insert_file_contents("./regions.csv", 'region', 1)
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insert_file_contents("./products.csv", 'product', 3)
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# read contents of each file into postgres
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insert_file_contents(conn, cur, "./data/categories.csv", 'category', 1)
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insert_file_contents(conn, cur, "./data/regions.csv", 'region', 1)
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insert_file_contents(conn, cur, "./data/products.csv", 'product', 3)
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print("Database insertions executed successfully.")
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@@ -6,7 +6,8 @@
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"scripts": {
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"test": "echo \"Error: no test specified\" && exit 1",
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"start": "nodemon server.js",
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"seed": "cd db && node seed.js"
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"seed": "cd db && node seed.js",
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"populate": "cd db/util && python3 main.py"
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},
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"engines": {
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"node": "v16.13.1"
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