Python ProgrammingLevel: Intermediatepython

Flask REST API with SQLite: Complete CRUD Implementation

Reviewed by Prof. Rajesh Kumar, Lead Software Engineering Instructor.
Free Educational Resource
Problem Statement / Assignment Scope

Design and implement a clean, lightweight RESTful web API in Python using Flask and SQLite that supports full CRUD (Create, Read, Update, Delete) operations on an `assignments` resource with proper JSON response payloads and HTTP status codes.

Prerequisites: Basic Python, HTTP status codes (200, 201, 400, 404), and JSON format.

Step-by-Step Worked Solution

1. Architecture & Design Principles

A REST API follows architectural constraints where resources are addressed through clean URI endpoints and standard HTTP verbs: GET (Retrieve), POST (Create), PUT/PATCH (Update), and DELETE (Remove).

2. Key Implementation Components

  1. Database Layer: Utilizes sqlite3.Row factory to serialize SQL tuples directly into JSON-compatible dictionaries.
  2. Input Validation: Guard clauses verify incoming JSON payloads before touching the database to prevent 500 server crashes.
  3. Idempotency & Status Codes: Responses explicitly return 201 Created on successful insertion and 400 Bad Request on schema violations.
solution.pypython
from flask import Flask, request, jsonify
import sqlite3

app = Flask(__name__)
DB_NAME = "academic.db"

def get_db_connection():
    conn = sqlite3.connect(DB_NAME)
    conn.row_factory = sqlite3.Row
    return conn

def init_db():
    with get_db_connection() as conn:
        conn.execute('''
            CREATE TABLE IF NOT EXISTS assignments (
                id INTEGER PRIMARY KEY AUTOINCREMENT,
                title TEXT NOT NULL,
                subject TEXT NOT NULL,
                deadline TEXT NOT NULL
            )
        ''')
        conn.commit()

@app.route("/api/assignments", methods=["GET"])
def get_all_assignments():
    with get_db_connection() as conn:
        rows = conn.execute("SELECT * FROM assignments").fetchall()
        return jsonify([dict(row) for row in rows]), 200

@app.route("/api/assignments", methods=["POST"])
def create_assignment():
    data = request.get_json()
    if not data or not data.get("title") or not data.get("subject"):
        return jsonify({"error": "Invalid payload: title and subject required"}), 400

    with get_db_connection() as conn:
        cursor = conn.execute(
            "INSERT INTO assignments (title, subject, deadline) VALUES (?, ?, ?)",
            (data["title"], data["subject"], data.get("deadline", "TBD"))
        )
        conn.commit()
        new_id = cursor.lastrowid

    return jsonify({"id": new_id, "message": "Assignment created successfully"}), 201

if __name__ == "__main__":
    init_db()
    app.run(debug=True, port=5000)

Key Takeaways & Core Principles

  • Always decouple database connection management using context managers.
  • Enforce explicit HTTP status codes (200, 201, 400, 404, 500) for REST standards.
  • Use parameterized SQL queries (`?`) to prevent SQL Injection vulnerabilities.

Frequently Asked Questions

How do I secure this API with authentication?

You can integrate JWT (JSON Web Tokens) using `PyJWT` or `Flask-JWT-Extended` with Authorization headers (`Bearer <token>`).

Academic References & Standards

  • [1]Pallets Projects. (2024). Flask: A lightweight WSGI web application framework. Source Link
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