The Results.....¶
The following code was provided by Google Gemini 2.0 Per the Prompts. The output has been reviewed.
# app.py (using Flask for API)
from flask import Flask, request, jsonify
import sqlite3
app = Flask(__name__)
DATABASE = 'products.db' # SQLite database file
def get_db_connection():
conn = sqlite3.connect(DATABASE)
conn.row_factory = sqlite3.Row # Return dictionaries for rows
return conn
def create_product(product_data):
conn = get_db_connection()
cursor = conn.cursor()
try:
cursor.execute("INSERT INTO products (name, category, description) VALUES (?, ?, ?)",
(product_data['name'], product_data['category'], product_data['description']))
conn.commit()
product_id = cursor.lastrowid # Get the ID of the newly inserted product
return jsonify({"id": product_id, "message": "Product created successfully"}), 201 # 201 Created
except Exception as e:
conn.rollback() # Rollback on error
return jsonify({"error": str(e)}), 500 # 500 Internal Server Error
finally:
conn.close()
def get_product(product_id):
conn = get_db_connection()
cursor = conn.cursor()
cursor.execute("SELECT * FROM products WHERE id = ?", (product_id,))
product = cursor.fetchone()
conn.close()
if product:
return jsonify(dict(product)), 200
return jsonify({"message": "Product not found"}), 404 # 404 Not Found
def update_product(product_id, product_data):
conn = get_db_connection()
cursor = conn.cursor()
try:
cursor.execute("UPDATE products SET name = ?, category = ?, description = ? WHERE id = ?",
(product_data['name'], product_data['category'], product_data['description'], product_id))
conn.commit()
if cursor.rowcount > 0:
return jsonify({"message": "Product updated successfully"}), 200
return jsonify({"message": "Product not found for update"}), 404
except Exception as e:
conn.rollback()
return jsonify({"error": str(e)}), 500
finally:
conn.close()
def delete_product(product_id):
conn = get_db_connection()
cursor = conn.cursor()
try:
cursor.execute("DELETE FROM products WHERE id = ?", (product_id,))
conn.commit()
if cursor.rowcount > 0:
return jsonify({"message": "Product deleted successfully"}), 200
return jsonify({"message": "Product not found for deletion"}), 404
except Exception as e:
conn.rollback()
return jsonify({"error": str(e)}), 500
finally:
conn.close()
# API Endpoints
@app.route('/products', methods=['POST'])
def create_product_route():
product_data = request.get_json()
return create_product(product_data)
@app.route('/products/<int:product_id>', methods=['GET'])
def get_product_route(product_id):
return get_product(product_id)
@app.route('/products/<int:product_id>', methods=['PUT'])
def update_product_route(product_id):
product_data = request.get_json()
return update_product(product_id, product_data)
@app.route('/products/<int:product_id>', methods=['DELETE'])
def delete_product_route(product_id):
return delete_product(product_id)
if __name__ == '__main__':
# Create the database table if it doesn't exist
conn = get_db_connection()
cursor = conn.cursor()
cursor.execute("""
CREATE TABLE IF NOT EXISTS products (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
category TEXT,
description TEXT
)
""")
conn.commit()
conn.close()
app.run(debug=True) # Set debug=False in production
-- schema.sql (SQL DDL for SQLite)
CREATE TABLE IF NOT EXISTS products (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
category TEXT,
description TEXT
);
Comments from Gemini¶
Explanation and How to Run:
-
Python Code (app.py):
- Uses Flask for creating the API endpoints.
- Uses
sqlite3
for database interaction (SQLite is simple for this example). - Defines functions for CRUD operations on products.
- API routes (
/products
,/products/<id>
) handle POST, GET, PUT, DELETE requests. - Error handling with
try...except
blocks and HTTP status codes. - Database connection management using
get_db_connection()
. - The code creates the
products
table if it doesn't exist when the app starts.
-
SQL DDL (schema.sql):
- Defines the
products
table withid
,name
,category
, anddescription
columns. id
is an auto-incrementing primary key.
- Defines the
How to Run:
- Save: Save the Python code as
app.py
and the SQL asschema.sql
(or create it directly when the app runs - the code does this). Make sure they are in the same directory. - Install Flask: If you don't have it, install Flask:
pip install Flask
- Run the Python code:
python app.py
- Test with a tool like Postman, curl, or an HTTP client in your browser's developer tools:
- POST /products: Send a JSON payload like
{"name": "Product A", "category": "Electronics", "description": "New product"}
to create a product. - GET /products/1: Retrieve the product with ID 1.
- PUT /products/1: Update the product with ID 1 with a new JSON payload.
- DELETE /products/1: Delete the product with ID 1.
- POST /products: Send a JSON payload like
Key Improvements and Considerations:
- Error Handling: Includes basic error handling and returns appropriate HTTP status codes.
- Database Interaction: Uses parameterized queries to prevent SQL injection vulnerabilities.
- JSON Handling: Uses
jsonify
to return JSON responses andrequest.get_json()
to parse JSON requests. - HTTP Methods: Uses appropriate HTTP methods (POST, GET, PUT, DELETE) for CRUD operations.
- SQLite: Uses SQLite for simplicity in this example. For production, consider a more robust database like PostgreSQL or MySQL.
- Data Validation: Add data validation to the Python code to ensure that the data received from the API is valid (e.g., checking data types, required fields, etc.).
- Security: This is a very basic example and lacks proper security. In a real application, you would need to implement authentication, authorization, input validation, and other security measures.
- Deployment: For a real application, you would deploy this to a web server (like Gunicorn or uWSGI) and use a production-ready database.
This improved example provides a more functional foundation for your product management system. Remember to address the security considerations before deploying any application to a production environment.
Last update: March 9, 2025