e206ce3332
- New quarterly_orders table with validation and constraints - Full CRUD API endpoints for quarterly orders management - Import functionality for bulk quarterly data from JSON - Python scripts for data migration and database import - Consistent validation for quarterly types and amounts - Follows established DRY/KISS architectural patterns
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
#!/usr/bin/env python3
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import json
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import psycopg2
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import uuid
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from datetime import datetime
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def import_to_database():
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# Read the transformed JSON data
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with open('/opt/rtsda/church-api/quarterly_import_data.json', 'r') as f:
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data = json.load(f)
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# Connect to the database
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conn = psycopg2.connect("postgresql://rtsda_user:SaviourofMyLife!!@localhost:5432/church_db")
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cursor = conn.cursor()
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print(f"Importing {len(data['orders'])} quarterly orders to database...")
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imported = 0
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errors = 0
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for order in data["orders"]:
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try:
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# Generate a new UUID for each order
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order_id = str(uuid.uuid4())
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# Insert the order
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cursor.execute("""
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INSERT INTO quarterly_orders (id, name, quarterly_type, amount)
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VALUES (%s, %s, %s, %s)
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""", (order_id, order["name"], order["type"], order["amount"]))
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imported += 1
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if imported % 10 == 0:
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print(f" Imported {imported} orders...")
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except Exception as e:
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print(f" Error importing '{order['name']}': {e}")
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errors += 1
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# Commit all changes
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conn.commit()
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cursor.close()
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conn.close()
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print(f"\nImport completed!")
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print(f" Successfully imported: {imported} orders")
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print(f" Errors: {errors}")
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if __name__ == "__main__":
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import_to_database() |