factory_boy | A test fixtures replacement for Python | SQL Database library
kandi X-RAY | factory_boy Summary
kandi X-RAY | factory_boy Summary
A test fixtures replacement for Python
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Top functions reviewed by kandi - BETA
- Build the builder
- Returns the model class
- Join keys to the root
- Returns the next sequence
- Instantiates a model instance
- Split the entry into two parts
- Wrapper for get_or_create
- Import an object
- Returns the factory object
- Get the manager for the given model class
- Construct a model from a list
- Reseed random seed
- Get the model class
- Load model class
- Evaluate post generation
- Join a key value
- Evaluate self attribute
- Evaluate the step
- Evaluate a subfactory
- Gets the object from the database
- Call the factory
- Reset the sequence counter
- Call this method
- Split the entry in an entry
- Make image data
- Convert field name to declaration
- Calls the function
- Evaluate the next value
factory_boy Key Features
factory_boy Examples and Code Snippets
Lines of Code : 25License : Permissive (MIT)
Copy|__ model_factories/
|__ app_label_foo/
|__ __init__.py
|__ model_foo.py
|__ model_bar.py
|__ base/
|__ __init__.py
|__ model_foo.py
|__ model_bar.py
# app_label/tests.py
from d import factory
from elasticsearch_metrics.factory import MetricFactory
from ..myapp.metrics import MyMetric
class MyMetricFactory(MetricFactory):
my_int = factory.Faker("pyint")
class Meta:
model = MyMetric
def test_something(): import factory
from myapp.models import Book
class BookFactory(factory.Factory):
class Meta:
model = Book
title = factory.Faker('sentence', nb_words=4)
author_name = factory.Faker('name')
my_string = factory.LazyAttribute(lambda o: f"String with IP address [{o.my_ip}]")
class RestaurantFactory(factory.django.DjangoModelFactory):
name = factory.Faker('company')
employee = factory.SubFactory('path.to.EmployeeFactory', employee=None)
class EmployeeFactory(factory.django.Djangclass SectorFactory(DjangoModelFactory):
id = Faker('uuid4')
name = Sequence(lambda n: f'Sector-{n}')
class Meta:
model = 'user.Sector'
django_get_or_create = ['name']
@pytest.mark.django_db
@pytest.mark.celery(task_always_eager=True)
def test_celery_task_uncovers_model_instance() -> None:
SomeModelFactory.create(hidden=False)
some_model = someapp.models.SomeModel.objects.first()
assert from django.db.backends.postgresql.features import DatabaseFeatures
DatabaseFeatures.can_defer_constraint_checks = False
class OptionTypeFactory(factory.django.DjangoModelFactory):
"""OptionType model factory."""
class Meta:
model = OptionType
class Params:
# Obtain coherent data for an option type from provider
option_tdef lazy_users():
"""Turn `User.query.all()` into a lazily evaluated generator"""
yield from User.query.all()
class ProfileFactory(...):
user = factory.Iterator(lazy_users())
Community Discussions
Trending Discussions on factory_boy
QUESTION
I have a Model Sector which has a id field (pk) which is UUID4 type. I am trying to populate that table(Sector Model) using faker and factory_boy.
But,
...ANSWER
Answered 2022-Feb-12 at 14:37Well, the solution was rather pretty trivial and rather quite ignorant of me!
Instead of using uuid module, one must use Faker's uuid4 provider.
But I, still wonder why using uuid module(which is created for the sole purpose of generating uuid(s)) did not work.
QUESTION
I have an input file
...ANSWER
Answered 2022-Jan-14 at 10:30Using sed:
QUESTION
I previously asked a question regarding this topic but finally I gave up on that because there seemed to be no way ...
But now I really really really need to write unit tests for my django channel consumers because the application is growing larger in size and manual testing isn't efficient anymore. So I decided to ask another question and this time I'm going to do my best to explain the situation.
The main problem is "Generating Fake Data". I'm using factory_boy and faker together in order to generate fake data for my tests. When I generate fake data, it is accessible from inside the TestCase itself but is not accessible inside the consumer. Let me show you by an example, consider the code below:
ANSWER
Answered 2021-Aug-29 at 11:13Issue: You face this data missing issue because of asynchronous calls.
Solution: In django.test there is a test class called TransactionTestCase. By using this we can overcome that asynchronous data missing issue.
Make following changes and you are all set to go:
test.pyReplace TestCase with TransactionTestCase and you are all set to go.
QUESTION
Using Factory Boy and Faker in a Django project, i would like to create deduced attributes, meaning a method from Faker returns a set of values that are dependent on each other. These values will be utilized for other attributes of the Factory Class.
Example:
The location_on_land method from faker.providers.geo returns a tuple of latitude, longitude, place name, two-letter country code and timezone (e.g. ('38.70734', '-77.02303', 'Fort Washington', 'US', 'America/New_York'). All values depend on each other, since the coordinates define the place, country, timezone, etc. Therefor i cannot use separated functions for the (lazy) attributes like faker.providers.latitude, faker.providers.longitude.
Is it possible to somehow access the return values from the lazy attribute to use them for other deduced attributes? Is there a better way to access the return values from location_on_land to use them on the other depending attributes
My Factory-Class looks like this:
ANSWER
Answered 2020-Nov-18 at 18:21When using factory.Params, the resulting attribute is available on the first parameter on factory.LazyAttribute: the passed-in instance is a stub used to build the parameters for the actual model call.
In your case, I'd go with the following factory.
Note that the geo_data field is declared as a parameter (i.e not passed to the models.Origin constructor); but it is still available to other declarations on the factory.
QUESTION
I currently have the code:
...ANSWER
Answered 2020-Nov-18 at 14:32The simplest option is to go through class Params:
QUESTION
I have a very simple model like this:
...ANSWER
Answered 2020-Oct-23 at 21:29I'd say all of these approaches are acceptable (however, you probably don't want to mock the object you are testing like you do in test_is_fully_locked_with_no_employee_locked_mock - rather create Observation object and mock admin_locked field).
I'm not sure if you are supposed to avoid "touching" the database - Django test runner creates a test database for each run. It is a bit slower, but in some cases that's the only way to test your code. If you can get away with in-memory object (like test_is_fully_locked_with_no_employee_locked test), it can speed up your test.
Mock library is usually used to mock functions that, for example, make a request to external server, run heavy database query, non-deterministic and so on - that are hard to reproduce in test environment.
QUESTION
I'm testing a custom user manager with pytest and factory_boy. I want to test those cases where information required to create a new user is incomplete, but I have different required parameters at the moment there are 3 (email, username, identification_number) but there may be more in the future.
ANSWER
Answered 2020-Aug-25 at 14:47You can use a helper method and a fixture to reduce the repeated code. Following code block is an example of this approach.
QUESTION
I am trying to use Factory Boy in order to generate test data for my test suite. My data consists of JSON objects with a body field that contains an escaped JSON String (example below). I also included example python dataclasses and Factory Boy factories for this example data.
Note: For this example, I am skipping the setup of fake data using Faker or the built-in fuzzers to simplify the question. In a more realistic use case, fields like eventtime, deviceid, enqueuedTime would contain rondomized values (using a fixed seed for the randomness)
I am struggling to figure out how to generate the inner JSON object and stringify it using Factory Boy.
An example data point:
...ANSWER
Answered 2020-Jul-28 at 22:21You can use Params to declare the "structured" body, and a LazyAttribute to convert it to JSON:
QUESTION
I'm a new to factory_boy module. In my code, I import factory and then used this import to access the fuzzy attribute with factory.fuzzy then it throws error module 'factory' has no attribute 'fuzzy'.
I solved this problem by again importing like this
import factory
from factory import fuzzy
by doing so there were no errors.
What is the reason for this!
...ANSWER
Answered 2020-Mar-30 at 14:31When you import a Python module (your import factory), you can then access directly what is declared in that module (e.g factory.Factory): all symbols declared in the module are automatically exported.
However, if a nested module is not imported in its parent, you have to import it directly.
Here, factory.Factory is available, because factory/__init__.py contains:
QUESTION
I'm trying to test my command line client with Django. I want to use the requests module in my client to fetch data from Django, but I'm testing this inside an APITestCase class so I can create factories using Factory_Boy.
I get a connection refused error.
The file in my front-end to call the view:
...ANSWER
Answered 2020-Mar-10 at 16:33APITestCase has already APIClient module.
You can access it with self.client and you can send request like self.client.post(#url,#data) inside your test methods. You can get more detail about APIClient here
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install factory_boy
You can use factory_boy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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