Flask Training , study and exam guide
1 Introduction to Flask
1.1 What is Flask?
1.2 History and Evolution of Flask
1.3 Flask vs Django
1.4 Setting Up the Development Environment
2 Flask Basics
2.1 Installing Flask
2.2 Creating Your First Flask Application
2.3 Understanding the Flask Application Structure
2.4 Routing in Flask
2.5 Variable Rules in Routing
2.6 HTTP Methods (GET, POST, PUT, DELETE)
3 Templates and Static Files
3.1 Introduction to Jinja2 Templates
3.2 Rendering Templates
3.3 Template Inheritance
3.4 Static Files (CSS, JavaScript, Images)
3.5 Using Bootstrap with Flask
4 Forms and User Input
4.1 Introduction to Flask-WTF
4.2 Creating Forms with Flask-WTF
4.3 Validating User Input
4.4 Handling File Uploads
4.5 Flash Messages
5 Databases with Flask
5.1 Introduction to SQLAlchemy
5.2 Setting Up a Database
5.3 Defining Models
5.4 CRUD Operations with SQLAlchemy
5.5 Relationships in SQLAlchemy
5.6 Migrations with Flask-Migrate
6 Authentication and Authorization
6.1 Introduction to Flask-Login
6.2 User Authentication
6.3 Protecting Routes with Login Required
6.4 User Roles and Permissions
6.5 Password Hashing with Werkzeug
7 RESTful APIs with Flask
7.1 Introduction to RESTful APIs
7.2 Creating a RESTful API with Flask
7.3 Serializing and Deserializing Data
7.4 Handling API Errors
7.5 Authentication for APIs
8 Testing Flask Applications
8.1 Introduction to Unit Testing
8.2 Writing Tests with Flask-Testing
8.3 Testing Routes and Views
8.4 Testing Database Interactions
8.5 Continuous Integration with Flask
9 Deployment and Scaling
9.1 Introduction to Deployment
9.2 Deploying Flask Applications on Heroku
9.3 Deploying Flask Applications on AWS
9.4 Scaling Flask Applications
9.5 Load Balancing and Caching
10 Advanced Topics
10.1 Background Tasks with Celery
10.2 WebSockets with Flask-SocketIO
10.3 Internationalization and Localization
10.4 Custom Error Pages
10.5 Extending Flask with Blueprints
11 Exam Preparation
11.1 Review of Key Concepts
11.2 Practice Questions
11.3 Mock Exams
11.4 Tips for the Exam Day
Testing Database Interactions Explained

Testing Database Interactions Explained

Key Concepts

Unit Testing

Unit testing involves testing individual components or functions in isolation. For database interactions, this means testing functions that interact with the database without actually hitting the database. This is typically done using mocks.

import unittest
from unittest.mock import patch

def get_user(user_id):
    # Assume this function queries the database
    return {'id': user_id, 'name': 'John Doe'}

class TestDatabaseInteractions(unittest.TestCase):
    @patch('your_module.get_user')
    def test_get_user(self, mock_get_user):
        mock_get_user.return_value = {'id': 1, 'name': 'Mock User'}
        result = get_user(1)
        self.assertEqual(result, {'id': 1, 'name': 'Mock User'})
    

Integration Testing

Integration testing involves testing how different components of the system work together. For database interactions, this means testing the actual database queries and ensuring they return the expected results.

import unittest
from your_module import get_user

class TestDatabaseInteractions(unittest.TestCase):
    def test_get_user(self):
        result = get_user(1)
        self.assertEqual(result, {'id': 1, 'name': 'John Doe'})
    

Mocking Database Interactions

Mocking database interactions involves replacing actual database calls with mock objects. This is useful for unit testing to isolate the function being tested from the database.

from unittest.mock import patch

@patch('your_module.get_user')
def test_get_user(self, mock_get_user):
    mock_get_user.return_value = {'id': 1, 'name': 'Mock User'}
    result = get_user(1)
    self.assertEqual(result, {'id': 1, 'name': 'Mock User'})
    

Transaction Rollback

Transaction rollback is a technique used in integration testing to ensure that the database state is reset after each test. This is done by starting a transaction before each test and rolling it back after the test completes.

import unittest
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

engine = create_engine('sqlite:///test.db')
Session = sessionmaker(bind=engine)

class TestDatabaseInteractions(unittest.TestCase):
    def setUp(self):
        self.session = Session()
        self.session.begin_nested()

    def tearDown(self):
        self.session.rollback()
        self.session.close()
    

Test Fixtures

Test fixtures are used to set up the environment for testing. This can include creating database tables, inserting test data, and configuring the database connection.

import unittest
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

engine = create_engine('sqlite:///test.db')
Session = sessionmaker(bind=engine)

class TestDatabaseInteractions(unittest.TestCase):
    def setUp(self):
        self.session = Session()
        self.create_tables()
        self.insert_test_data()

    def create_tables(self):
        # Code to create database tables
        pass

    def insert_test_data(self):
        # Code to insert test data
        pass

    def tearDown(self):
        self.session.close()
    

Database Seeding

Database seeding involves populating the database with initial data before running tests. This ensures that the database has the necessary data to execute the tests.

def insert_test_data(self):
    self.session.add(User(id=1, name='John Doe'))
    self.session.commit()
    

Test Coverage

Test coverage is a measure of how much of the code is covered by tests. It helps ensure that all critical parts of the code are tested. Tools like Coverage.py can be used to measure test coverage.

pip install coverage
coverage run -m unittest discover
coverage report
    

Continuous Integration

Continuous Integration (CI) is a practice of frequently integrating code changes into a shared repository. CI tools like Jenkins, Travis CI, and GitHub Actions can be configured to run tests automatically whenever code is pushed.

# .travis.yml
language: python
python:
  - "3.8"
install:
  - pip install -r requirements.txt
script:
  - python -m unittest discover