0Integration testing checks if different parts of a program work well together. It helps find problems when pieces connect.
def test_api_integration(): response = client.get('/api/resource') assert response.status_code == 200 assert 'expected_key' in response.json()
This example shows a simple integration test for a REST API endpoint.
Use a test client to send requests and check responses.
def test_get_user(): response = client.get('/users/1') assert response.status_code == 200 assert response.json()['id'] == 1
def test_create_post(): data = {'title': 'Hello', 'content': 'World'} response = client.post('/posts', json=data) assert response.status_code == 201 assert response.json()['title'] == 'Hello'
This program creates a simple API with two endpoints: one to add posts and one to get all posts. The test sends a post, then checks if it was saved and can be retrieved.
from fastapi import FastAPI from fastapi.testclient import TestClient app = FastAPI() posts = [] @app.post('/posts') def create_post(post: dict): posts.append(post) return post @app.get('/posts') def get_posts(): return posts client = TestClient(app) def test_create_and_get_posts(): new_post = {'title': 'Test', 'content': 'Integration'} response = client.post('/posts', json=new_post) assert response.status_code == 201 assert response.json() == new_post response = client.get('/posts') assert response.status_code == 200 assert new_post in response.json() if __name__ == '__main__': test_create_and_get_posts() print('Integration test passed')
Integration tests are slower than unit tests because they test multiple parts together.
Keep integration tests focused on how parts work together, not on internal details.
Use test databases or mock services to avoid changing real data.
Integration testing checks if different parts of your app work together correctly.
It is useful for testing API endpoints, databases, and service communication.
Write tests that send requests and check responses to catch connection problems early.
integration testing in REST API development?requests library?requests.get().requests.get() correctly with a URL string.requests:
response = requests.post('http://api.example.com/login', json={'user':'admin', 'pass':'1234'})
print(response.status_code)
What will be the printed output if the login is successful and the server returns HTTP 200?response.status_code. If login is successful, server returns 200, so output is 200.response = requests.get('http://api.example.com/items')
assert response.status_code == 200
assert response.json()['items']
But the test fails with a KeyError on 'items'. What is the likely cause?/users returns only active users. The API returns JSON like {"users": [{"id":1,"active":true}, {"id":2,"active":false}]}. Which test code snippet correctly checks this condition?active set to true.all() to check all users are active, which matches requirement. response = requests.get('http://api.example.com/users')
users = response.json()['users']
assert any(user['active'] for user in users) checks if any user is active (not enough). response = requests.get('http://api.example.com/users')
users = response.json()['users']
assert user['active'] == True references undefined variable user outside loop. response = requests.get('http://api.example.com/users')
assert response.status_code == 404 checks for 404 status, which is wrong.Pass the test and this pattern moves unknown strong while earning +1 Grip toward your certificate.