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Mocks and Mocking 1: Using Mocks to Test External Dependencies

Warning, Recently Updated

🚧 Warning, chapter in progress! 🚧

I’ve recently updated this chapter, and there are some new discussions of the pros and cons of mocking, which I’d love your feedback on!

In this chapter we’ll start testing the parts of our code that send emails. In the FT, you saw that Django gives us a way of retrieving any emails it sends by using the mail.outbox attribute. But in this chapter, I want to demonstrate a widespread testing technique called mocking, so for the purpose of these unit tests, we’ll pretend that this nice Django shortcut doesn’t exist.

Am I telling you not to use Django’s mail.outbox? No; use it, it’s a neat shortcut. But I want to teach mocks because they’re a useful general-purpose tool for unit testing external dependencies. You may not always be using Django! And even if you are, you may not be sending email—​any interaction with a third-party API is a place you might find yourself wanting to test with mocks.

To Mock or Not to Mock?

I once gave a talk called "Stop Using Mocks!"; it’s entirely possible to find ways to write tests for external dependencies without using mocks at all.

I’m covering mocking in this book because it’s such a common technique, but it does come with some downsides, as we’ll see. Other techniques, including dependency injection, and the use of custom fake objects, are well worth exploring, but they’re a more advanced topic.

My second book, Architecture Patterns with Python, goes in to some detail on these alternatives.

Before We Start: Getting the Basic Plumbing In

Let’s just get a basic view and URL set up first. We can do so with a simple test that our new URL for sending the login email should eventually redirect back to the home page:

Example 1. src/accounts/tests/test_views.py (ch19l001)
from django.test import TestCase


class SendLoginEmailViewTest(TestCase):
    def test_redirects_to_home_page(self):
        response = self.client.post(
            "/accounts/send_login_email", data={"email": "[email protected]"}
        )
        self.assertRedirects(response, "/")

Wire up the include in superlists/urls.py, plus the url in accounts/urls.py, and get the test passing with something a bit like this:

Example 2. src/accounts/views.py (ch19l004)
from django.core.mail import send_mail  # (1)
from django.shortcuts import redirect


def send_login_email(request):
    return redirect("/")
  1. I’ve added the import of the send_mail function as a placeholder for now.

That’ll get the test passing:

$ python src/manage.py test accounts
[...]
Ran 4 tests in 0.015s

OK

OK, now we have a starting point, so let’s get mocking!

Mocking Manually, aka Monkeypatching

When we call send_mail in real life we expect Django to be making a connection to our email provider, and sending an actual email across the public internet. That’s not something we want to happen in our tests. It’s a similar problem whenever you have code that has external side effects—calling an API, sending out an SMS, integrating with a payment provider, whatever it may be.

When running our unit tests, we don’t want to be sending out real payments or making API calls across the internet. But we would still like a way of testing that our code is correct. Mocks[1] give us one way to do that.

Actually, one of the great things about Python is that its dynamic nature makes it very easy to do things like mocking, or what’s sometimes called monkeypatching. Let’s suppose that, as a first step, we want to get to some code that invokes send_mail with the right subject line, from address, and to address. That would look something like this:

Example 3. src/accounts/views.py
def send_login_email(request):
    email = request.POST['email']
    # send_mail(
    #     'Your login link for Superlists',
    #     'body text tbc',
    #     'noreply@superlists',
    #     [email],
    # )
    return redirect('/')

How can we test this, without calling the real send_mail function? The answer is that our test can ask Python to swap out the send_mail function for a fake version, at runtime, just before we invoke the send_login_email view.

Check this out:

Example 4. src/accounts/tests/test_views.py (ch19l005)
from django.test import TestCase

import accounts.views  # (2)


class SendLoginEmailViewTest(TestCase):
    [...]

    def test_sends_mail_to_address_from_post(self):
        self.send_mail_called = False

        def fake_send_mail(subject, body, from_email, to_list):  # (1)
            self.send_mail_called = True
            self.subject = subject
            self.body = body
            self.from_email = from_email
            self.to_list = to_list

        accounts.views.send_mail = fake_send_mail  # (2)

        self.client.post(
            "/accounts/send_login_email", data={"email": "[email protected]"}
        )

        self.assertTrue(self.send_mail_called)
        self.assertEqual(self.subject, "Your login link for Superlists")
        self.assertEqual(self.from_email, "noreply@superlists")
        self.assertEqual(self.to_list, ["[email protected]"])
  1. We define a fake_send_mail function, which looks like the real send_mail function, but all it does is save some information about how it was called, using some variables on self.

  2. Then, before we execute the code under test by doing the self.client.post, we swap out the real accounts.views.send_mail with our fake version—it’s as simple as just assigning it.

It’s important to realise that there isn’t really anything magical going on here; we’re just taking advantage of Python’s dynamic nature and scoping rules.

Up until we actually invoke a function, we can modify the variables it has access to, as long as we get into the right namespace. That’s why we import the top-level accounts module: to be able to get down to the accounts.views module, which is the scope that the accounts.views.send_login_email function will run in.

This isn’t even something that only works inside unit tests. You can do this kind of "monkeypatching" in any kind of Python code!

That may take a little time to sink in. See if you can convince yourself that it’s not all totally crazy, before reading a couple of bits of further detail.

  • Why do we use self as a way of passing information around? It’s just a convenient variable that’s available both inside the scope of the fake_send_mail function and outside of it. We could use any mutable object, like a list or a dictionary, as long as we are making in-place changes to an existing variable that exists outside our fake function. (Feel free to have a play around with different ways of doing this, if you’re curious, and see what works and doesn’t work.)

  • The "before" is critical! I can’t tell you how many times I’ve sat there, wondering why a mock isn’t working, only to realise that I didn’t mock before I called the code under test.

Let’s see if our hand-rolled mock object will let us test-drive some code:

$ python src/manage.py test accounts
[...]
    self.assertTrue(self.send_mail_called)
AssertionError: False is not true

So let’s call send_mail, naively:

Example 5. src/accounts/views.py (ch19l006-1)
def send_login_email(request):
    send_mail()
    return redirect("/")

That gives:

TypeError: SendLoginEmailViewTest.test_sends_mail_to_address_from_post.<locals>
.fake_send_mail() missing 4 required positional arguments: 'subject', 'body',
'from_email', and 'to_list'

It looks like our monkeypatch is working! We’ve called send_mail, and it’s gone into our fake_send_mail function, which wants more arguments. Let’s try this:

Example 6. src/accounts/views.py (ch19l006-2)
def send_login_email(request):
    send_mail("subject", "body", "from_email", ["to email"])
    return redirect("/")

That gives:

    self.assertEqual(self.subject, "Your login link for Superlists")
AssertionError: 'subject' != 'Your login link for Superlists'

That’s working pretty well! Now we can work step-by-step, all the way through to something like this:

Example 7. src/accounts/views.py (ch19l006)
def send_login_email(request):
    email = request.POST["email"]
    send_mail(
        "Your login link for Superlists",
        "body text tbc",
        "noreply@superlists",
        [email],
    )
    return redirect("/")

and passing tests!

$ python src/manage.py test accounts

Ran 5 tests in 0.016s

OK

Brilliant! We’ve managed to write tests for some code, that ordinarily[2] would go out and try to send real emails across the internet, and by "mocking out" the send_email function, we’re able to write the tests and code all the same.

The Python Mock Library

The mock package was added to the standard library as part of Python 3.3. It provides a magical object called a Mock; try this out in a Python shell:

>>> from unittest.mock import Mock
>>> m = Mock()
>>> m.any_attribute
<Mock name='mock.any_attribute' id='140716305179152'>
>>> type(m.any_attribute)
<class 'unittest.mock.Mock'>
>>> m.any_method()
<Mock name='mock.any_method()' id='140716331211856'>
>>> m.foo()
<Mock name='mock.foo()' id='140716331251600'>
>>> m.called
False
>>> m.foo.called
True
>>> m.bar.return_value = 1
>>> m.bar(42, var='thing')
1
>>> m.bar.call_args
call(42, var='thing')

A magical object that:

  • responds to any request for an attribute or method call with other mocks,

  • which you can configure in turn to return specific values when called,

  • and that allows you to inspect what it was called with?

Sounds like a useful thing to be able to use in our unit tests!

Using unittest.patch

And as if that weren’t enough, the mock module also provides a helper function called patch, which we can use to do the monkeypatching we did by hand earlier.

I’ll explain how it all works shortly, but let’s see it in action first:

Example 8. src/accounts/tests/test_views.py (ch19l007)
from unittest import mock

from django.test import TestCase
[...]

    @mock.patch("accounts.views.send_mail")
    def test_sends_mail_to_address_from_post(self, mock_send_mail):
        self.client.post(
            "/accounts/send_login_email", data={"email": "[email protected]"}
        )

        self.assertEqual(mock_send_mail.called, True)
        (subject, body, from_email, to_list), kwargs = mock_send_mail.call_args
        self.assertEqual(subject, "Your login link for Superlists")
        self.assertEqual(from_email, "noreply@superlists")
        self.assertEqual(to_list, ["[email protected]"])

If you rerun the tests, you’ll see they still pass. And since we’re always suspicious of any test that still passes after a big change, let’s deliberately break it just to see:

Example 9. src/accounts/tests/test_views.py (ch19l008)
        self.assertEqual(to_list, ["[email protected]"])

And let’s add a little debug print to our view as well, to see the effects of the mock.patch:

Example 10. src/accounts/views.py (ch19l009)
def send_login_email(request):
    email = request.POST["email"]
    print(type(send_mail))
    send_mail(
        [...]

Let’s run the tests again:

$ python src/manage.py test accounts
[...]
<class 'function'>
<class 'unittest.mock.MagicMock'>
[...]
AssertionError: Lists differ: ['[email protected]'] !=
['[email protected]']
[...]

Ran 5 tests in 0.024s

FAILED (failures=1)

Sure enough, the tests fail. And we can see just before the failure message that when we print the type of the send_mail function, in the first unit test it’s a normal function, but in the second unit test we’re seeing a mock object.

Let’s remove the deliberate mistake and dive into exactly what’s going on:

Example 11. src/accounts/tests/test_views.py (ch19l011)
@mock.patch("accounts.views.send_mail")  # (1)
def test_sends_mail_to_address_from_post(self, mock_send_mail):  # (2)
    self.client.post(  # (3)
        "/accounts/send_login_email", data={"email": "[email protected]"}
    )

    self.assertEqual(mock_send_mail.called, True)  # (4)
    (subject, body, from_email, to_list), kwargs = mock_send_mail.call_args  # (5)
    self.assertEqual(subject, "Your login link for Superlists")
    self.assertEqual(from_email, "noreply@superlists")
    self.assertEqual(to_list, ["[email protected]"])
  1. The mock.patch() decorator takes a dot-notation name of an object to monkeypatch. That’s the equivalent of manually replacing the send_mail in accounts.views. The advantage of the decorator is that, firstly, it automatically replaces the target with a mock. And secondly, it automatically puts the original object back at the end! (Otherwise, the object stays monkeypatched for the rest of the test run, which might cause problems in other tests.)

  2. patch then injects the mocked object into the test as an argument to the test method. We can choose whatever name we want for it, but I usually use a convention of mock_ plus the original name of the object.

  3. We call our view under test as usual, but everything inside this test method has our mock applied to it, so the view won’t call the real send_mail object; it’ll be seeing mock_send_mail instead.

  4. And we can now make assertions about what happened to that mock object during the test. We can see it was called…​

  5. …​and we can also unpack its various positional and keyword call arguments, to examine what it was called with. (See [mock-call-args-sidebar] in the next chapter for a longer explanation of .call_args).

All crystal-clear? No? Don’t worry, we’ll do a couple more tests with mocks, to see if they start to make more sense as we use them more.

Getting the FT a Little Further Along

First let’s get back to our FT and see where it’s failing:

$ python src/manage.py test functional_tests.test_login
[...]
AssertionError: 'Check your email' not found in 'Superlists\nEnter your email
to log in\nStart a new To-Do list'

Submitting the email address currently has no effect, because the form isn’t sending the data anywhere. Let’s wire it up in base.html:

Example 12. src/lists/templates/base.html (ch19l012)
<form method="POST" action="{% url 'send_login_email' %}">

Does that help? Nope, same error. Why? Because we’re not actually displaying a success message after we send the user an email. Let’s add a test for that.

Testing the Django Messages Framework

We’ll use Django’s "messages framework", which is often used to display ephemeral "success" or "warning" messages to show the results of an action. Have a look at the django messages docs if you haven’t come across it already.

Testing Django messages is a bit contorted—​we have to pass follow=True to the test client to tell it to get the page after the 302-redirect, and examine its context for a list of messages (which we have to listify before it’ll play nicely). Here’s what it looks like:

Example 13. src/accounts/tests/test_views.py (ch19l013)
    def test_adds_success_message(self):
        response = self.client.post(
            "/accounts/send_login_email",
            data={"email": "[email protected]"},
            follow=True,
        )

        message = list(response.context["messages"])[0]
        self.assertEqual(
            message.message,
            "Check your email, we've sent you a link you can use to log in.",
        )
        self.assertEqual(message.tags, "success")

That gives:

$ python src/manage.py test accounts
[...]
    message = list(response.context["messages"])[0]
IndexError: list index out of range

And we can get it passing with:

Example 14. src/accounts/views.py (ch19l014)
from django.contrib import messages
[...]

def send_login_email(request):
    [...]
    messages.success(
        request,
        "Check your email, we've sent you a link you can use to log in.",
    )
    return redirect("/")
Mocks Can Leave You Tightly Coupled to the Implementation
Tip
This sidebar is an intermediate-level testing tip. If it goes over your head the first time around, come back and take another look when you’ve finished this chapter. Consider also going through [appendix_purist_unit_tests] for lots more mocking practice.

I said testing messages is a bit contorted; it took me several goes to get it right. In fact, at a previous employer, we gave up on testing them like this and decided to just use mocks. Let’s see what that would look like in this case:

Example 15. src/accounts/tests/test_views.py (ch19l014-2)
    @mock.patch("accounts.views.messages")
    def test_adds_success_message_with_mocks(self, mock_messages):
        response = self.client.post(
            "/accounts/send_login_email", data={"email": "[email protected]"}
        )

        expected = "Check your email, we've sent you a link you can use to log in."
        self.assertEqual(
            mock_messages.success.call_args,
            mock.call(response.wsgi_request, expected),
        )

We mock out the messages module, and check that messages.success was called with the right args: the original request, and the message we want.

And you could get it passing by using the exact same code as earlier. Here’s the problem though: the messages framework gives you more than one way to achieve the same result. I could write the code like this:

Example 16. src/accounts/views.py (ch19l014-3)
    messages.add_message(
        request,
        messages.SUCCESS,
        "Check your email, we've sent you a link you can use to log in.",
    )

And the original, nonmocky test would still pass. But our mocky test will fail, because we’re no longer calling messages.success, we’re calling messages.add_message. Even though the end result is the same and our code is "correct," the test is broken.

This is what it means to say that using mocks leave you "tightly coupled with the implementation". We usually say it’s better to test behaviour, not implementation details; test what happens, not how you do it. Mocks often end up erring too much on the side of the "how" rather than the "what".

Tip
Test should be about behaviour, not implementation.

Adding Messages to Our HTML

What happens next in the functional test? Ah. Still nothing. We need to actually add the messages to the page. Something like this:

Example 17. src/lists/templates/base.html (ch19l015)
      [...]
      </nav>

      {% if messages %}
        <div class="row">
          <div class="col-md-8">
            {% for message in messages %}
              {% if message.level_tag == 'success' %}
                <div class="alert alert-success">{{ message }}</div>
              {% else %}
                <div class="alert alert-warning">{{ message }}</div>
              {% endif %}
            {% endfor %}
          </div>
        </div>
      {% endif %}

Now do we get a little further? Yes!

$ python src/manage.py test accounts
[...]
Ran 6 tests in 0.023s

OK

$ python src/manage.py test functional_tests.test_login
[...]
AssertionError: 'Use this link to log in' not found in 'body text tbc'

We need to fill out the body text of the email, with a link that the user can use to log in.

Let’s just cheat for now though, by changing the value in the view:

Example 18. src/accounts/views.py (ch19l016)
    send_mail(
        "Your login link for Superlists",
        "Use this link to log in",
        "noreply@superlists",
        [email],
    )

That gets the FT a little further:

$ python src/manage.py test functional_tests.test_login
[...]
AssertionError: Could not find url in email body:
Use this link to log in

Starting on the Login URL

We’re going to have to build some kind of URL! Let’s build one that, again, just cheats:

Example 19. src/accounts/tests/test_views.py (ch19l017)
class LoginViewTest(TestCase):
    def test_redirects_to_home_page(self):
        response = self.client.get("/accounts/login?token=abcd123")
        self.assertRedirects(response, "/")

We’re imagining we’ll pass the token in as a GET parameter, after the ?. It doesn’t need to do anything for now.

I’m sure you can find your way through to getting the boilerplate in for a basic URL and view, via errors like these:

  • No URL:

    AssertionError: 404 != 302 : Response didn't redirect as expected: Response
    code was 404 (expected 302)
  • No view:

    AttributeError: module 'accounts.views' has no attribute 'login'
  • Broken view:

    ValueError: The view accounts.views.login didn't return an HttpResponse object.
    It returned None instead.
  • OK!

    $ python src/manage.py test accounts
    [...]
    
    Ran 7 tests in 0.029s
    OK

And now we can give people a link to use. It still won’t do much though, because we still don’t have a token to give to the user.

Back in our send_login_email view, we’ve tested the email subject, from, and to fields. The body is the part that will have to include a token or URL they can use to log in. Let’s spec out two tests for that:

Example 20. src/accounts/tests/test_views.py (ch19l021)
from accounts.models import Token
[...]

    def test_creates_token_associated_with_email(self):
        self.client.post(
            "/accounts/send_login_email", data={"email": "[email protected]"}
        )
        token = Token.objects.get()
        self.assertEqual(token.email, "[email protected]")

    @mock.patch("accounts.views.send_mail")
    def test_sends_link_to_login_using_token_uid(self, mock_send_mail):
        self.client.post(
            "/accounts/send_login_email", data={"email": "[email protected]"}
        )

        token = Token.objects.get()
        expected_url = f"http://testserver/accounts/login?token={token.uid}"
        (subject, body, from_email, to_list), kwargs = mock_send_mail.call_args
        self.assertIn(expected_url, body)

The first test is fairly straightforward; it checks that the token we create in the database is associated with the email address from the post request.

The second one is our second test using mocks. We mock out the send_mail function again using the patch decorator, but this time we’re interested in the body argument from the call arguments.

Running them now will fail because we’re not creating any kind of token:

$ python src/manage.py test accounts
[...]
accounts.models.Token.DoesNotExist: Token matching query does not exist.
[...]
accounts.models.Token.DoesNotExist: Token matching query does not exist.

We can get the first one to pass by creating a token:

Example 21. src/accounts/views.py (ch19l022)
from accounts.models import Token
[...]

def send_login_email(request):
    email = request.POST["email"]
    token = Token.objects.create(email=email)
    send_mail(
        [...]

And now the second test prompts us to actually use the token in the body of our email:

[...]
AssertionError:
'http://testserver/accounts/login?token=[...]
not found in 'Use this link to log in'

FAILED (failures=1)

So we can insert the token into our email like this:

Example 22. src/accounts/views.py (ch19l023)
from django.urls import reverse
[...]

def send_login_email(request):
    email = request.POST["email"]
    token = Token.objects.create(email=email)
    url = request.build_absolute_uri(  # (1)
        reverse("login") + "?token=" + str(token.uid),
    )
    message_body = f"Use this link to log in:\n\n{url}"
    send_mail(
        "Your login link for Superlists",
        message_body,
        "noreply@superlists",
        [email],
    )
    [...]
  1. request.build_absolute_uri deserves a mention—​it’s one way to build a "full" URL, including the domain name and the http(s) part, in Django. There are other ways, but they usually involve getting into the "sites" framework, and that gets complicated pretty quickly. You can find lots more discussion on this if you’re curious by doing a bit of googling.

Two more pieces in the puzzle. We need an authentication backend, whose job it will be to examine tokens for validity and then return the corresponding users; then we need to get our login view to actually log users in, if they can authenticate.

De-spiking Our Custom Authentication Backend

Our custom authentication backend is next. Here’s how it looked in the spike:

class PasswordlessAuthenticationBackend(BaseBackend):
    def authenticate(self, request, uid):
        print("uid", uid, file=sys.stderr)
        if not Token.objects.filter(uid=uid).exists():
            print("no token found", file=sys.stderr)
            return None
        token = Token.objects.get(uid=uid)
        print("got token", file=sys.stderr)
        try:
            user = ListUser.objects.get(email=token.email)
            print("got user", file=sys.stderr)
            return user
        except ListUser.DoesNotExist:
            print("new user", file=sys.stderr)
            return ListUser.objects.create(email=token.email)

    def get_user(self, email):
        return ListUser.objects.get(email=email)

Decoding this:

  • We take a UID and check if it exists in the database.

  • We return None if it doesn’t.

  • If it does exist, we extract an email address, and either find an existing user with that address, or create a new one.

1 if = 1 More Test

A rule of thumb for these sorts of tests: any if means an extra test, and any try/except means an extra test, so this should be about three tests. How about something like this?

Example 23. src/accounts/tests/test_authentication.py (ch19l024)
from django.contrib.auth import get_user_model
from django.http import HttpRequest
from django.test import TestCase

from accounts.authentication import PasswordlessAuthenticationBackend
from accounts.models import Token

User = get_user_model()


class AuthenticateTest(TestCase):
    def test_returns_None_if_no_such_token(self):
        result = PasswordlessAuthenticationBackend().authenticate(
            HttpRequest(), "no-such-token"
        )
        self.assertIsNone(result)

    def test_returns_new_user_with_correct_email_if_token_exists(self):
        email = "[email protected]"
        token = Token.objects.create(email=email)
        user = PasswordlessAuthenticationBackend().authenticate(
            HttpRequest(), token.uid
        )
        new_user = User.objects.get(email=email)
        self.assertEqual(user, new_user)

    def test_returns_existing_user_with_correct_email_if_token_exists(self):
        email = "[email protected]"
        existing_user = User.objects.create(email=email)
        token = Token.objects.create(email=email)
        user = PasswordlessAuthenticationBackend().authenticate(
            HttpRequest(), token.uid
        )
        self.assertEqual(user, existing_user)

In authenticate.py we’ll just have a little placeholder:

Example 24. src/accounts/authentication.py (ch19l025)
class PasswordlessAuthenticationBackend:
    def authenticate(self, request, uid):
        pass

How do we get on?

$ python src/manage.py test accounts

.FE.........
======================================================================
ERROR: test_returns_new_user_with_correct_email_if_token_exists (accounts.tests
.test_authentication.AuthenticateTest.test_returns_new_user_with_correct_email_
if_token_exists)
 ---------------------------------------------------------------------
Traceback (most recent call last):
  File "...goat-book/src/accounts/tests/test_authentication.py", line 24, in
test_returns_new_user_with_correct_email_if_token_exists
    new_user = User.objects.get(email=email)
[...]
accounts.models.User.DoesNotExist: User matching query does not exist.


======================================================================
FAIL: test_returns_existing_user_with_correct_email_if_token_exists (accounts.t
ests.test_authentication.AuthenticateTest.test_returns_existing_user_with_corre
ct_email_if_token_exists)
 ---------------------------------------------------------------------
Traceback (most recent call last):
  File "...goat-book/src/accounts/tests/test_authentication.py", line 34, in
test_returns_existing_user_with_correct_email_if_token_exists
    self.assertEqual(user, existing_user)
    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^
AssertionError: None != <User: User object ([email protected])>

 ---------------------------------------------------------------------
Ran 12 tests in 0.038s

FAILED (failures=1, errors=1)

Here’s a first cut:

Example 25. src/accounts/authentication.py (ch19l026)
from accounts.models import Token, User


class PasswordlessAuthenticationBackend:
    def authenticate(self, request, uid):
        token = Token.objects.get(uid=uid)
        return User.objects.get(email=token.email)

That gets one test passing but breaks another one:

$ python src/manage.py test accounts

ERROR: test_returns_None_if_no_such_token (accounts.tests.test_authentication.A
uthenticateTest.test_returns_None_if_no_such_token)
[...]
accounts.models.Token.DoesNotExist: Token matching query does not exist.

ERROR: test_returns_new_user_with_correct_email_if_token_exists (accounts.tests
.test_authentication.AuthenticateTest.test_returns_new_user_with_correct_email_
if_token_exists)
[...]
accounts.models.User.DoesNotExist: User matching query does not exist.

Let’s fix each of those in turn:

Example 26. src/accounts/authentication.py (ch19l027)
    def authenticate(self, request, uid):
        try:
            token = Token.objects.get(uid=uid)
            return User.objects.get(email=token.email)
        except Token.DoesNotExist:
            return None

That gets us down to one failure:

ERROR: test_returns_new_user_with_correct_email_if_token_exists (accounts.tests
.test_authentication.AuthenticateTest.test_returns_new_user_with_correct_email_
if_token_exists)
[...]
accounts.models.User.DoesNotExist: User matching query does not exist.

FAILED (errors=1)

And we can handle the final case like this:

Example 27. src/accounts/authentication.py (ch19l028)
    def authenticate(self, request, uid):
        try:
            token = Token.objects.get(uid=uid)
            return User.objects.get(email=token.email)
        except User.DoesNotExist:
            return User.objects.create(email=token.email)
        except Token.DoesNotExist:
            return None

That’s turned out neater than our spike!

The get_user Method

We’ve handled the authenticate function which Django will use to log new users in. The second part of the protocol we have to implement is the get_user method, whose job is to retrieve a user based on their unique identifier (the email address), or to return None if it can’t find one (have another look at the spiked code if you need a reminder).

Here are a couple of tests for those two requirements:

Example 28. src/accounts/tests/test_authentication.py (ch19l030)
class GetUserTest(TestCase):
    def test_gets_user_by_email(self):
        User.objects.create(email="[email protected]")
        desired_user = User.objects.create(email="[email protected]")
        found_user = PasswordlessAuthenticationBackend().get_user("[email protected]")
        self.assertEqual(found_user, desired_user)

    def test_returns_None_if_no_user_with_that_email(self):
        self.assertIsNone(
            PasswordlessAuthenticationBackend().get_user("[email protected]")
        )

And our first failure:

AttributeError: 'PasswordlessAuthenticationBackend' object has no attribute
'get_user'

Let’s create a placeholder one then:

Example 29. src/accounts/authentication.py (ch19l031)
class PasswordlessAuthenticationBackend:
    def authenticate(self, request, uid):
        [...]

    def get_user(self, email):
        pass

Now we get:

    self.assertEqual(found_user, desired_user)
AssertionError: None != <User: User object ([email protected])>

And (step by step, just to see if our test fails the way we think it will):

Example 30. src/accounts/authentication.py (ch19l033)
    def get_user(self, email):
        return User.objects.first()

That gets us past the first assertion, and onto:

    self.assertEqual(found_user, desired_user)
AssertionError: <User: User object ([email protected])> != <User: User object
([email protected])>

And so we call get with the email as an argument:

Example 31. src/accounts/authentication.py (ch19l034)
    def get_user(self, email):
        return User.objects.get(email=email)

Now our test for the None case fails:

ERROR: test_returns_None_if_no_user_with_that_email (accounts.tests.test_authen
tication.GetUserTest.test_returns_None_if_no_user_with_that_email)
[...]
accounts.models.User.DoesNotExist: User matching query does not exist.

Which prompts us to finish the method like this:

Example 32. src/accounts/authentication.py (ch19l035)
    def get_user(self, email):
        try:
            return User.objects.get(email=email)
        except User.DoesNotExist:
            return None  # (1)
  1. You could just use pass here, and the function would return None by default. However, because we specifically need the function to return None, the "explicit is better than implicit" rule applies here.

That gets us to passing tests:

OK

And we have a working authentication backend!

Let’s call that a win, and in the next chapter we’ll work on integrating it into our login view, and getting our FT passing.

On Mocking in Python
Mocking and external dependencies

One place to consider using mocking is when we have an external dependency that we don’t want to actually use in our tests. A mock can be used to simulate the third-party API. Whilst it is possible to "roll your own" mocks in Python, a mocking framework like the unittest.mock module provides a lot of helpful shortcuts which will make it easier to write (and more importantly, read) your tests.

The Mock library

Michael Foord (who used to work for the company that spawned PythonAnywhere, just before I joined) wrote the excellent "Mock" library that’s now been integrated into the standard library of Python 3. It contains most everything you might need for mocking in Python.

Monkeypatching

Replacing an object in a namespace at runtime. We use it in our unit tests to replace a real function which has undesirable side effects with a mock object, using the mock.patch decorator.

The mock.patch decorator

unittest.mock provides a function called patch, which can be used to "mock out" (monkeypatch) any object from the module you’re testing. It’s commonly used as a decorator on a test method. Importantly, it "undoes" the mocking at the end of the test for you, to avoid contamination between tests.

Mocks can leave you tightly coupled to the implementation

As we saw in Mocks Can Leave You Tightly Coupled to the Implementation, mocks can leave you tightly coupled to your implementation. For that reason, you shouldn’t use them unless you have a good reason.


1. I’m using the generic term "mock", but testing enthusiasts like to distinguish other types of a general class of test tools called "Test Doubles", including spies, fakes, and stubs. The differences don’t really matter for this book, but if you want to get into the nitty-gritty, check out this amazing wiki by Justin Searls. Warning: absolutely chock full of great testing content.
2. Yes, I know Django already mocks out emails using mail.outbox for us, but, again, let’s pretend it doesn’t. What if you were using Flask? Or what if this was an API call, not an email?