What am I doing wrong? I have an extractor that works great but writing the test is stumping me and it's failing. Can anyone help me figure out where I'm going wrong?
from unittest.mock import MagicMock, patch
import pandas as pd
import requests
from my_project.task import extractor
from my_project.tests import utils
from prefect.logging import disable_run_logger
CONTACT_RECORD = utils.TEST_CONTACT_RECORD
PAGED_CONTACT_RECORD = utils.TEST_PAGED_CONTACT_RECORD
EXPECTED_CONTACT_RECORD = utils.EXPECTED_CONTACT_RECORD
#patch("requests.get")
def test_contact_extractor(get: MagicMock):
"""
Should call "request.get" once and return a json
containing contact data.
"""
get.return_value.json.return_value = CONTACT_RECORD
with disable_run_logger():
result = extractor.get_contacts()
assert get.call_count == 1
assert result == pd.DataFrame(EXPECTED_CONTACT_RECORD)
#patch("my_project.extractor.get_contacts")
def test_get_paged_contacts(get_contacts: MagicMock):
"""
Should run "requests.get" until ['has-more'] is False
and there is no offset value.
"""
get_contacts.return_value.json.side_effect = [
PAGED_CONTACT_RECORD,
PAGED_CONTACT_RECORD,
PAGED_CONTACT_RECORD,
CONTACT_RECORD,
]
with disable_run_logger():
data = extractor.get_paged_contacts(
endpoint=MagicMock, query_string=MagicMock, df=MagicMock
)
assert get_contacts.call_count == 4
assert data == pd.DataFrame(EXPECTED_CONTACT_RECORD)
Some errors I'm getting are:
requests imported but not used
callable[[Union[str,btyes],....], Response] has no attribute "return_value"
EDIT:
No longer getting the second error because I realized I had a typo, but currently getting:
AttributeError: 'NoneType' object has no attribute 'client'
Edit:
Here is my get_paged_data() function:
def get_paged_contacts(
endpoint: str, query_string: typing.Dict[str, typing.Any], df: pd.DataFrame
) -> pd.DataFrame:
"""
Return the results of the get request.
Loops over api response and appends the results of a while loop for pagination, then
merges the results with the previously extracted dataframe.
"""
url = endpoint
contacts = []
response = requests.request("GET", url, headers=header, params=query_string).json()
has_more = response["has-more"]
offset = response["vid-offset"]
while has_more is True:
querystring = {"limit": "100", "archived": "false", "offset": offset}
try:
response = requests.request(
"GET", url, headers=header, params=querystring
).json()
time.sleep(10)
except (requests.exceptions.ConnectionError, json.decoder.JSONDecodeError) as j:
logger.error(f"Error occurred: {j}.")
break
for x in range(len(response["contacts"])):
contacts.append(response["contacts"][x])
contacts = json_normalize(contacts)
merged = pd.concat([df, contacts])
return merged
After checking the edited question, here is a possible approach. The code under test could be the following:
def get_paged_contacts(endpoint: str,
query_string: typing.Dict[str, typing.Any],
df: pd.DataFrame) -> pd.DataFrame:
"""
Return the results of the get request.
Loops over api response and appends the results of a while loop
for pagination, then merges the results with the previously
extracted dataframe.
"""
url = endpoint
contacts = []
response = requests.request("GET", url,
headers=header,
params=query_string).json()
has_more = response["has-more"]
offset = response["vid-offset"]
# Get the contacts coming from the first response
contacts.extend(response['contacts'])
while has_more:
querystring = {"limit": "100",
"archived": "false", "offset": offset}
try:
response = requests.request("GET", url,
headers=header,
params=querystring).json()
# Update the looping condition in every response
has_more = response["has-more"]
contacts.extend(response['contacts'])
time.sleep(10)
except (requests.exceptions.ConnectionError, json.decoder.JSONDecodeError) as j:
logger.error(f"Error occurred: {j}.")
break
contacts = pd.json_normalize(contacts)
merged = pd.concat([df, contacts])
# Reset the dataframe index after concatenating
merged.reset_index(drop=True, inplace=True)
return merged
It can be refactored by having all requests inside the while loop, to avoid duplication, but it is not clear how you want to handle the query_string parameter, so I left it as it is. Then, the test code could be something like this:
#patch('my_project.task.extractor.requests.request')
def test_get_paged_contacts(request_mock):
request_mock.return_value.json.side_effect = [
PAGED_CONTACT_RECORD,
PAGED_CONTACT_RECORD,
PAGED_CONTACT_RECORD,
CONTACT_RECORD,
]
expected_df = pd.DataFrame(EXPECTED_CONTACT_RECORD)
input_df = pd.DataFrame()
res = get_paged_contacts('dummy_endpoint', None, input_df)
assert request_mock.call_count == 4
assert_frame_equal(res, expected_df)
The assert_frame_equal function is a utility provided by pandas to check two dataframes for equality. It is particularly useful for unit testing with pandas dataframes. You can check it here. Of course, you need to import it with from pandas.testing import assert_frame_equal
I am trying to mock an external API using the responses library.
I want to check I've passed my params correctly in my request, so I am using this minimum working example from the responses docs:
import responses
import requests
#responses.activate
def test_request_params():
responses.add(
method=responses.GET,
url="http://example.com?hello=world",
body="test",
match_querystring=False,
)
resp = requests.get('http://example.com', params={"hello": "world"})
assert responses.calls[0].request.params == {"hello": "world"}
The problem is, this breaks as soon as I replace http://example.com with a URL that resembles an API endpoint:
#responses.activate
def test_request_params():
responses.add(
method=responses.GET,
url="http://example.com/api/endpoint?hello=world",
body="test",
match_querystring=False,
)
resp = requests.get('http://example.com/api/endpoint', params={"hello": "world"})
assert responses.calls[0].request.params == {"hello": "world"}
Now responses has added part of the URL to the first query param:
> assert responses.calls[0].request.params == {"hello": "world"}
E AssertionError: assert {'/api/endpoint?hello': 'world'} == {'hello': 'world'}
Am I missing something?
You can pass a regex as the url argument, which ignores parameters:
#responses.activate
def test_request_params():
url = r"http://example.com/api/endpoint"
params = {"hello": "world", "a": "b"}
# regex that matches the url and ignores anything that comes after
rx = re.compile(rf"{url}*")
responses.add(method=responses.GET, url=rx)
response = requests.get(url, params=params)
assert responses.calls[-1].request.params == params
url_path, *queries = responses.calls[-1].request.url.split("?")
assert url_path == url
I don't quite have the hang of Python mocks.
Clearly I don't want my test code to call the actual methodrequests.post() in the following method, so I want to to mock its behavior instead:
def try_post(self, url, body):
r = requests.post(url, data=body)
msg = str(r.status_code) + " " + r.content + "\n"
if r.status_code >= 300:
sys.stderr.write("Error: POST returned " + msg)
My question: How do I mock the object returned by requests.post(), i.e. the response object?
For example, I'd like to write one test where r.status_code is 200 and another where r.status_code is 300 so I can test the conditional logic. Also, I'd need to mock r.content to return some string.
My non-working code follows:
from monitor_writer import MonitorWriter
import mock
import unittest
class TestMonitorWriter(unittest.TestCase):
#mock.patch('monitor_writer.requests')
def test_conforming_write(self, mock_requests):
xml_frag = """
<InstantaneousDemand>
</InstantaneousDemand>
"""
mock_requests.status_code.return_value = 200
mock_requests.content.return_value = "OK"
writer = MonitorWriter()
writer.update(xml_frag)
self.assertTrue(mock_requests.post.called, "Failed to call requests.post")
This test fails with TypeError: expected a character buffer object because r.status_code and r.content evaluate to mock.MagicMock objects, not strings, and the try_post() method is attempting to catenate them.
You want to mock requests.post directly, rather than the entire requests module:
class TestMonitorWriter(unittest.TestCase):
#mock.patch('monitor_writer.requests.post')
def test_conforming_write(self, mock_post):
xml_frag = """
<InstantaneousDemand>
</InstantaneousDemand>
"""
response = mock.MagicMock()
response.status_code = 200
respone.content = "OK"
mock_post.return_value = response
writer = MonitorWriter()
writer.update(xml_frag)
self.assertTrue(mock_post.called, "Failed to call requests.post")
Once we've mocked the function you're actually calling, we create a mock response object, set status_code and content on the mocked response to the desired values, and finally assign the mocked response to the return_value of our mocked post function.
I am trying to use Pythons mock package to mock Pythons requests module. What are the basic calls to get me working in below scenario?
In my views.py, I have a function that makes variety of requests.get() calls with different response each time
def myview(request):
res1 = requests.get('aurl')
res2 = request.get('burl')
res3 = request.get('curl')
In my test class I want to do something like this but cannot figure out exact method calls
Step 1:
# Mock the requests module
# when mockedRequests.get('aurl') is called then return 'a response'
# when mockedRequests.get('burl') is called then return 'b response'
# when mockedRequests.get('curl') is called then return 'c response'
Step 2:
Call my view
Step 3:
verify response contains 'a response', 'b response' , 'c response'
How can I complete Step 1 (mocking the requests module)?
This is how you can do it (you can run this file as-is):
import requests
import unittest
from unittest import mock
# This is the class we want to test
class MyGreatClass:
def fetch_json(self, url):
response = requests.get(url)
return response.json()
# This method will be used by the mock to replace requests.get
def mocked_requests_get(*args, **kwargs):
class MockResponse:
def __init__(self, json_data, status_code):
self.json_data = json_data
self.status_code = status_code
def json(self):
return self.json_data
if args[0] == 'http://someurl.com/test.json':
return MockResponse({"key1": "value1"}, 200)
elif args[0] == 'http://someotherurl.com/anothertest.json':
return MockResponse({"key2": "value2"}, 200)
return MockResponse(None, 404)
# Our test case class
class MyGreatClassTestCase(unittest.TestCase):
# We patch 'requests.get' with our own method. The mock object is passed in to our test case method.
#mock.patch('requests.get', side_effect=mocked_requests_get)
def test_fetch(self, mock_get):
# Assert requests.get calls
mgc = MyGreatClass()
json_data = mgc.fetch_json('http://someurl.com/test.json')
self.assertEqual(json_data, {"key1": "value1"})
json_data = mgc.fetch_json('http://someotherurl.com/anothertest.json')
self.assertEqual(json_data, {"key2": "value2"})
json_data = mgc.fetch_json('http://nonexistenturl.com/cantfindme.json')
self.assertIsNone(json_data)
# We can even assert that our mocked method was called with the right parameters
self.assertIn(mock.call('http://someurl.com/test.json'), mock_get.call_args_list)
self.assertIn(mock.call('http://someotherurl.com/anothertest.json'), mock_get.call_args_list)
self.assertEqual(len(mock_get.call_args_list), 3)
if __name__ == '__main__':
unittest.main()
Important Note: If your MyGreatClass class lives in a different package, say my.great.package, you have to mock my.great.package.requests.get instead of just 'request.get'. In that case your test case would look like this:
import unittest
from unittest import mock
from my.great.package import MyGreatClass
# This method will be used by the mock to replace requests.get
def mocked_requests_get(*args, **kwargs):
# Same as above
class MyGreatClassTestCase(unittest.TestCase):
# Now we must patch 'my.great.package.requests.get'
#mock.patch('my.great.package.requests.get', side_effect=mocked_requests_get)
def test_fetch(self, mock_get):
# Same as above
if __name__ == '__main__':
unittest.main()
Enjoy!
Try using the responses library. Here is an example from their documentation:
import responses
import requests
#responses.activate
def test_simple():
responses.add(responses.GET, 'http://twitter.com/api/1/foobar',
json={'error': 'not found'}, status=404)
resp = requests.get('http://twitter.com/api/1/foobar')
assert resp.json() == {"error": "not found"}
assert len(responses.calls) == 1
assert responses.calls[0].request.url == 'http://twitter.com/api/1/foobar'
assert responses.calls[0].response.text == '{"error": "not found"}'
It provides quite a nice convenience over setting up all the mocking yourself.
There's also HTTPretty:
It's not specific to requests library, more powerful in some ways though I found it doesn't lend itself so well to inspecting the requests that it intercepted, which responses does quite easily
There's also httmock.
A new library gaining popularity recently over the venerable requests is httpx, which adds first-class support for async. A mocking library for httpx is: https://github.com/lundberg/respx
Here is what worked for me:
import mock
#mock.patch('requests.get', mock.Mock(side_effect = lambda k:{'aurl': 'a response', 'burl' : 'b response'}.get(k, 'unhandled request %s'%k)))
I used requests-mock for writing tests for separate module:
# module.py
import requests
class A():
def get_response(self, url):
response = requests.get(url)
return response.text
And the tests:
# tests.py
import requests_mock
import unittest
from module import A
class TestAPI(unittest.TestCase):
#requests_mock.mock()
def test_get_response(self, m):
a = A()
m.get('http://aurl.com', text='a response')
self.assertEqual(a.get_response('http://aurl.com'), 'a response')
m.get('http://burl.com', text='b response')
self.assertEqual(a.get_response('http://burl.com'), 'b response')
m.get('http://curl.com', text='c response')
self.assertEqual(a.get_response('http://curl.com'), 'c response')
if __name__ == '__main__':
unittest.main()
this is how you mock requests.post, change it to your http method
#patch.object(requests, 'post')
def your_test_method(self, mockpost):
mockresponse = Mock()
mockpost.return_value = mockresponse
mockresponse.text = 'mock return'
#call your target method now
Here is a solution with requests Response class. It is cleaner IMHO.
import json
from unittest.mock import patch
from requests.models import Response
def mocked_requests_get(*args, **kwargs):
response_content = None
request_url = kwargs.get('url', None)
if request_url == 'aurl':
response_content = json.dumps('a response')
elif request_url == 'burl':
response_content = json.dumps('b response')
elif request_url == 'curl':
response_content = json.dumps('c response')
response = Response()
response.status_code = 200
response._content = str.encode(response_content)
return response
#mock.patch('requests.get', side_effect=mocked_requests_get)
def test_fetch(self, mock_get):
response = requests.get(url='aurl')
assert ...
If you want to mock a fake response, another way to do it is to simply instantiate an instance of the base HttpResponse class, like so:
from django.http.response import HttpResponseBase
self.fake_response = HttpResponseBase()
I started out with Johannes Farhenkrug's answer here and it worked great for me. I needed to mock the requests library because my goal is to isolate my application and not test any 3rd party resources.
Then I read up some more about python's Mock library and I realized that I can replace the MockResponse class, which you might call a 'Test Double' or a 'Fake', with a python Mock class.
The advantage of doing so is access to things like assert_called_with, call_args and so on. No extra libraries are needed. Additional benefits such as 'readability' or 'its more pythonic' are subjective, so they may or may not play a role for you.
Here is my version, updated with using python's Mock instead of a test double:
import json
import requests
from unittest import mock
# defube stubs
AUTH_TOKEN = '{"prop": "value"}'
LIST_OF_WIDGETS = '{"widgets": ["widget1", "widget2"]}'
PURCHASED_WIDGETS = '{"widgets": ["purchased_widget"]}'
# exception class when an unknown URL is mocked
class MockNotSupported(Exception):
pass
# factory method that cranks out the Mocks
def mock_requests_factory(response_stub: str, status_code: int = 200):
return mock.Mock(**{
'json.return_value': json.loads(response_stub),
'text.return_value': response_stub,
'status_code': status_code,
'ok': status_code == 200
})
# side effect mock function
def mock_requests_post(*args, **kwargs):
if args[0].endswith('/api/v1/get_auth_token'):
return mock_requests_factory(AUTH_TOKEN)
elif args[0].endswith('/api/v1/get_widgets'):
return mock_requests_factory(LIST_OF_WIDGETS)
elif args[0].endswith('/api/v1/purchased_widgets'):
return mock_requests_factory(PURCHASED_WIDGETS)
raise MockNotSupported
# patch requests.post and run tests
with mock.patch('requests.post') as requests_post_mock:
requests_post_mock.side_effect = mock_requests_post
response = requests.post('https://myserver/api/v1/get_widgets')
assert response.ok is True
assert response.status_code == 200
assert 'widgets' in response.json()
# now I can also do this
requests_post_mock.assert_called_with('https://myserver/api/v1/get_widgets')
Repl.it links:
https://repl.it/#abkonsta/Using-unittestMock-for-requestspost#main.py
https://repl.it/#abkonsta/Using-test-double-for-requestspost#main.py
This worked for me, although I haven't done much complicated testing yet.
import json
from requests import Response
class MockResponse(Response):
def __init__(self,
url='http://example.com',
headers={'Content-Type':'text/html; charset=UTF-8'},
status_code=200,
reason = 'Success',
_content = 'Some html goes here',
json_ = None,
encoding='UTF-8'
):
self.url = url
self.headers = headers
if json_ and headers['Content-Type'] == 'application/json':
self._content = json.dumps(json_).encode(encoding)
else:
self._content = _content.encode(encoding)
self.status_code = status_code
self.reason = reason
self.encoding = encoding
Then you can create responses :
mock_response = MockResponse(
headers={'Content-Type' :'application/json'},
status_code=401,
json_={'success': False},
reason='Unauthorized'
)
mock_response.raise_for_status()
gives
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: http://example.com
One possible way to work around requests is using the library betamax, it records all requests and after that if you make a request in the same url with the same parameters the betamax will use the recorded request, I have been using it to test web crawler and it save me a lot time.
import os
import requests
from betamax import Betamax
from betamax_serializers import pretty_json
WORKERS_DIR = os.path.dirname(os.path.abspath(__file__))
CASSETTES_DIR = os.path.join(WORKERS_DIR, u'resources', u'cassettes')
MATCH_REQUESTS_ON = [u'method', u'uri', u'path', u'query']
Betamax.register_serializer(pretty_json.PrettyJSONSerializer)
with Betamax.configure() as config:
config.cassette_library_dir = CASSETTES_DIR
config.default_cassette_options[u'serialize_with'] = u'prettyjson'
config.default_cassette_options[u'match_requests_on'] = MATCH_REQUESTS_ON
config.default_cassette_options[u'preserve_exact_body_bytes'] = True
class WorkerCertidaoTRT2:
session = requests.session()
def make_request(self, input_json):
with Betamax(self.session) as vcr:
vcr.use_cassette(u'google')
response = session.get('http://www.google.com')
https://betamax.readthedocs.io/en/latest/
Can you use requests-mock instead?
Suppose your myview function instead takes a requests.Session object, makes requests with it, and does something to the output:
# mypackage.py
def myview(session):
res1 = session.get("http://aurl")
res2 = session.get("http://burl")
res3 = session.get("http://curl")
return f"{res1.text}, {res2.text}, {res3.text}"
# test_myview.py
from mypackage import myview
import requests
def test_myview(requests_mock):
# set up requests
a_req = requests_mock.get("http://aurl", text="a response")
b_req = requests_mock.get("http://burl", text="b response")
c_req = requests_mock.get("http://curl", text="c response")
# test myview behaviour
session = requests.Session()
assert myview(session) == "a response, b response, c response"
# check that requests weren't called repeatedly
assert a_req.called_once
assert b_req.called_once
assert c_req.called_once
assert requests_mock.call_count == 3
You can also use requests_mock with frameworks other than Pytest - the documentation is great.
Using requests_mock is easy to patch any requests
pip install requests-mock
from unittest import TestCase
import requests_mock
from <yourmodule> import <method> (auth)
class TestApi(TestCase):
#requests_mock.Mocker()
def test_01_authentication(self, m):
"""Successful authentication using username password"""
token = 'token'
m.post(f'http://localhost/auth', json= {'token': token})
act_token =auth("user", "pass")
self.assertEqual(act_token, token)
I will add this information since I had a hard time figuring how to mock an async api call.
Here is what I did to mock an async call.
Here is the function I wanted to test
async def get_user_info(headers, payload):
return await httpx.AsyncClient().post(URI, json=payload, headers=headers)
You still need the MockResponse class
class MockResponse:
def __init__(self, json_data, status_code):
self.json_data = json_data
self.status_code = status_code
def json(self):
return self.json_data
You add the MockResponseAsync class
class MockResponseAsync:
def __init__(self, json_data, status_code):
self.response = MockResponse(json_data, status_code)
async def getResponse(self):
return self.response
Here is the test. The important thing here is I create the response before since init function can't be async and the call to getResponse is async so it all checked out.
#pytest.mark.asyncio
#patch('httpx.AsyncClient')
async def test_get_user_info_valid(self, mock_post):
"""test_get_user_info_valid"""
# Given
token_bd = "abc"
username = "bob"
payload = {
'USERNAME': username,
'DBNAME': 'TEST'
}
headers = {
'Authorization': 'Bearer ' + token_bd,
'Content-Type': 'application/json'
}
async_response = MockResponseAsync("", 200)
mock_post.return_value.post.return_value = async_response.getResponse()
# When
await api_bd.get_user_info(headers, payload)
# Then
mock_post.return_value.post.assert_called_once_with(
URI, json=payload, headers=headers)
If you have a better way of doing that tell me but I think it's pretty clean like that.
The simplest way so far:
from unittest import TestCase
from unittest.mock import Mock, patch
from .utils import method_foo
class TestFoo(TestCase):
#patch.object(utils_requests, "post") # change to desired method here
def test_foo(self, mock_requests_post):
# EXPLANATION: mocked 'post' method above will return some built-in mock,
# and its method 'json' will return mock 'mock_data',
# which got argument 'return_value' with our data to be returned
mock_data = Mock(return_value=[{"id": 1}, {"id": 2}])
mock_requests_post.return_value.json = mock_data
method_foo()
# TODO: asserts here
"""
Example of method that you can test in utils.py
"""
def method_foo():
response = requests.post("http://example.com")
records = response.json()
for record in records:
print(record.get("id"))
# do other stuff here
For those, who don't want to install additional libs for pytest, there is an example. I will duplicate it here with some extension, based on examples above:
import datetime
import requests
class MockResponse:
def __init__(self, json_data, status_code):
self.json_data = json_data
self.status_code = status_code
self.elapsed = datetime.timedelta(seconds=1)
# mock json() method always returns a specific testing dictionary
def json(self):
return self.json_data
def test_get_json(monkeypatch):
# Any arguments may be passed and mock_get() will always return our
# mocked object, which only has the .json() method.
def mock_get(*args, **kwargs):
return MockResponse({'mock_key': 'mock_value'}, 418)
# apply the monkeypatch for requests.get to mock_get
monkeypatch.setattr(requests, 'get', mock_get)
# app.get_json, which contains requests.get, uses the monkeypatch
response = requests.get('https://fakeurl')
response_json = response.json()
assert response_json['mock_key'] == 'mock_value'
assert response.status_code == 418
assert response.elapsed.total_seconds() == 1
============================= test session starts ==============================
collecting ... collected 1 item
test_so.py::test_get_json PASSED [100%]
============================== 1 passed in 0.07s ===============================
To avoid installing other dependencies you should create a fake response. This FakeResponse could be a child of Response (I think this is a good approach because it's more realistic) or just a simple class with the attributes you need.
Simple Fake class
class FakeResponse:
status_code = None
def __init__(self, *args, **kwargs):
self.status_code = 500
self.text = ""
Child of Response
class FakeResponse(Response):
encoding = False
_content = None
def __init__(*args, **kwargs):
super(FakeResponse).__thisclass__.status_code = 500
# Requests requires to be not be None, if not throws an exception
# For reference: https://github.com/psf/requests/issues/3698#issuecomment-261115119
super(FakeResponse).__thisclass__.raw = io.BytesIO()
Just a helpful hint to those that are still struggling, converting from urllib or urllib2/urllib3 to requests AND trying to mock a response- I was getting a slightly confusing error when implementing my mock:
with requests.get(path, auth=HTTPBasicAuth('user', 'pass'), verify=False) as url:
AttributeError: __enter__
Well, of course, if I knew anything about how with works (I didn't), I'd know it was a vestigial, unnecessary context (from PEP 343). Unnecessary when using the requests library because it does basically the same thing for you under the hood. Just remove the with and use bare requests.get(...) and Bob's your uncle.
For pytest users there is a convinient fixture from https://pypi.org/project/pytest-responsemock/
For example to mock GET to http://some.domain you can:
def test_me(response_mock):
with response_mock('GET http://some.domain -> 200 :Nice'):
response = send_request()
assert result.ok
assert result.content == b'Nice'
I will demonstrate how to detach your programming logic from the actual external library by swapping the real request with a fake one that returns the same data. In your view if external api call then this process is best
import pytest
from unittest.mock import patch
from django.test import RequestFactory
#patch("path(projectname.appname.filename).requests.post")
def test_mock_response(self, mock_get, rf: RequestFactory):
mock_get.return_value.ok = Mock(ok=True)
mock_get.return_value.status_code = 400
mock_get.return_value.json.return_value = {you can define here dummy response}
request = rf.post("test/", data=self.payload)
response = view_name_view(request)
expected_response = {
"success": False,
"status": "unsuccessful",
}
assert response.data == expected_response
assert response.status_code == 400
If using pytest:
>>> import pytest
>>> import requests
>>> def test_url(requests_mock):
... requests_mock.get('http://test.com', text='data')
... assert 'data' == requests.get('http://test.com').text
Taken from the official documentation