No longer maintained, please migrate to model_bakery

Overview

Model Mommy: Smart fixtures for better tests

Test Status Latest PyPI version

IMPORTANT: Model Mommy is no longer maintained and was replaced by Model Bakery. Please, consider migrating your project to use the new lib.

Model Mommy's creator and the maintainers decided to rename the project to not reinforce gender stereotypes for women in technology. You can read more about this subject here.

Maintainers

Creator

Comments
  • Better coordination of Foreign Key model use during generation

    Better coordination of Foreign Key model use during generation

    We have a multi-tenant app where all models are ultimately owned by a customer model, but some of the models are only indirectly owned by that customer model, some pseudocode:

    class Job(Model):  has foreignkey to Customer
    class Call(Model): has foreignkey to Job
      contains PositionTitle(Model): has foreignkey to Customer
    class Position(Model): has foreignkey to Call
    class Assignment(Model): has foreignkey to Position
    

    That isn't all the models in my code, but when I do

    mommy.make(Assignment) 
    

    mommy creates 32 Customer objects because of the generation. It would be nice if you could say something like

    with mommy.register({"customers.customer": mommy.make(Customer)}):
        assignment = mommy.make(Assignment)
    

    Admittedly the syntax needs some work, and you would probably need to do with nesting of the with clauses. Recipes might work for this case, but it seems like a HUGE amount of overhead for something simple like this.

    opened by mark0978 18
  • Feature/custom field value generation api #90

    Feature/custom field value generation api #90

    Started some code on a feature branch. Needs more work and discussion. Doing a pull_request for further discussion following #90.

    Not sure about the decorators. They don't really make sense, as we aren't really wrapping the fields.

    def gen_func():
        return "random_value"
    
    class CustomField(models.Fields):
        ... #some field code
    
    add_value_generator(gen_func, CustomField)
    

    Is the same LOC. But make more sense semantically, than

    def gen_func():
        return "random_value"
    
    @custom_field_gen("gen_func")
    class CustomField(models.Fields):
        ... #some field code
    

    I do still see a usecase for the context_manager as it is better at handling exception cases than a single_use parameter would.

    And what about a model_field param? When I did the model param, I thought, about a model using the same CustomField multiple times for different model_fields. But when implementing that, I felt like I was redoing stuff, that can already be done pretty well with recipes.

    opened by CharString 16
  • Enabling spatial support into model mommy

    Enabling spatial support into model mommy

    Hello @vandersonmota.

    This is a great project, but in my day to day work uses a lot of geospatial information, so I need model_mommy to generate spatial data as well.

    This a first draft that includes a point generator, using the already consolidated formulaes used by model_mommy.

    In here I've updated the association between a field type and generators and created the spatial generator.

    perhaps there are other ways to handle this, but let me know.

    opened by george-silva 14
  • New feature: objects creation using multiple attrs values

    New feature: objects creation using multiple attrs values

    I'll explain the idea given by @henriquebastos during our last lunch. Suppose that we have the following model:

    class Person(models.Model):
        name = models.CharField(max_length=60)
        age = models.PositiveIntegerField()
    

    Now, imagine some test situation that we need to create 4 objects with the same age but different, but not random, names. Today, the way we can achieve this with model mommy is as following:

    person1 = mommy.make(Person, age=20, name='bob')
    person2 = mommy.make(Person, age=20, name='alice')
    person3 = mommy.make(Person, age=20, name='john')
    person4 = mommy.make(Person, age=20, name='peter')
    

    There is a lot of code repetition on the previous snippet and maybe we can improve this. This issue is to start this discussion to explore possibilities of how we can implement something better. The first suggestion was using something like this:

    names = ['bob', 'alice', 'john', 'peter']
    persons = mommy.make(Person, age=20, name=names)
    

    So, we can instantiate an iterable object with the multiple values that we expect and pass it to the model attribute that we want to change. Although this is an easy approach, it could make the API more complex and confusing. I mean, on the previous code we have a model attribute receiving a list as a parameter, which is something king of odd if we think about model creation...

    Well, let the discussion begins =)

    opened by berinhard 14
  • Column user_id is not Unique

    Column user_id is not Unique

    I have the following models

    app1.models.py

    class UserProfile(Subject): """ UserProfile class """ # This field is required. user = models.OneToOneField(User) # Other fields here company = models.CharField(max_length=50, null=True, blank=True, verbose_name=("Company")) contact = models.CharField(max_length=50, null=True, blank=True, verbose_name=("Contact")) msg = models.TextField(null=True, blank=True, verbose_name=_("Message"))

    def __unicode__(self):
        return self.user.username
    

    class ParentImportJob(models.Model): """ Class to store importing jobs """

    STATUS_ACTIVE = u'A'
    STATUS_SUCCESS = u'S'
    STATUS_PARTIAL = u'P'
    STATUS_ERROR = u'E'
    
    STATUS_CHOICES = (
        (STATUS_ACTIVE, _(u'In Progress')),
        (STATUS_SUCCESS, _(u'Successfully Imported')),
        (STATUS_PARTIAL, _(u'Partially Imported')),
        (STATUS_ERROR, _(u'Aborted with error')),
    )
    
    status = models.CharField(max_length=1, choices=STATUS_CHOICES)
    user_profile = models.ForeignKey(UserProfile)
    errors = models.TextField(null=True, blank=True)
    start_date = models.DateTimeField(auto_now_add=True)
    end_date = models.DateTimeField(blank=True, null=True)
    instance_class = models.CharField(max_length=200)
    

    app2.models.py

    class ImportJob(ParentImportJob): """ Class to store jobs of files being imported Extends ParentImportJob ParentImportJob is not abstract! But I am interested in 2 separated tables """

    _imported_file = models.TextField(null=True,
                                      blank=True,
                                      db_column='imported_file')
    import_result = models.TextField(null=True, blank=True)
    
    def set_import_file(self, imported_file):
        """ Set method for import_file field """
        self._imported_file = base64.encodestring(imported_file)
    
    def get_import_file(self, imported_file):
        """ Set method for import_file field """
        return base64.decodestring(self._imported_file)
    
    imported_file = property(get_import_file, set_import_file)
    

    The following recipe:

    ob_mock = Recipe(ImportJob, import_file=ofile.read(), import_result=EXCEL_DICT)

    When I ran self.job = mommy.make_recipe('excel2db.job_mock') inside the testcase I get IntegrityError: column user_id is not unique

    I'm doing something wrong?

    opened by fernandoferreira-me 13
  • Override default recipe

    Override default recipe

    Is there a way to provide a recipe that replaces mommy's default recipe for a model? In other words, when I run mommy.make('myapp.MyModel'), I want it to use a custom recipe, without having to worry about mommy.make_recipe.

    opened by rouge8 12
  • Write a recipe where ommitted fields are still populated automatically?

    Write a recipe where ommitted fields are still populated automatically?

    I really only need to write a recipe to populate one field--not all of them. Is it possible to have the remaining fields auto-populate? If not, I'd be happy to add this functionality.

    opened by grjones 12
  • Recipe generators

    Recipe generators

    These changes add a little more magic to Recipe and allow us to eliminate the need for Sequence, and allow Recipe to accept iterators (and generators) as field values.

    Advantages:

    • no need for users to work with Sequence, they can use Python generators or iterators which are more familiar and more powerful.
    • the "seq" function still works the same as it always has, and is a simple 2 line generator.
    • all the original unit tests pass, and all new code is covered by new tests

    Disadvantages:

    • The Recipe _mapping function is more complicated.

    This is my first pull request ever. If there are any problem please be patient. I'm open to any feedback you may have.

    opened by DevJac 11
  • *** DoesNotExist: Post matching query does not exist. Lookup parameters were {'pk': 1}

    *** DoesNotExist: Post matching query does not exist. Lookup parameters were {'pk': 1}

    (Pdb) mommy.make(Post)
    *** DoesNotExist: Post matching query does not exist. Lookup parameters were {'pk': 1}
    (Pdb) Post.objects.all()
    []
    (Pdb) Article.objects.all()
    [<Article: /article/3apmB5cyN0yDsyzZwmBhqhf0mDlsIA-BlNrdcJVul0zpiLIM-Y/HY1y3VDgxuERG5-a0Sys8RbzJaQpOl2hlKA9eZuGbF_S09o6mW>]
    (Pdb)
    

    Model Post extend model Article (not abstract).

    mommy.make: Article created and not created Post

    opened by avelino 11
  • Version 1.2.1 and

    Version 1.2.1 and "ValueError: Cannot assign None: "Foo.bar" does not allow null values."

    I have been using version 1.2 for a while without a problem, but since I installed 1.2.1 I started to get a lot of ValueError as the one you see above. Basically, it looks like that when mommy creates a ManyToManyField for a model it's not able to relate it to the instance being created.

    An example will help me explain it: this worked with version 1.2 (simplified):

        tag1 = mommy.make_recipe('myapp.TagRecipe')
        tag2 = mommy.make_recipe('myapp.TagRecipe')
        tag3 = mommy.make_recipe('myapp.TagRecipe')
        params = {
            'tags': [tag1, tag2, tag3],
        }
        article = mommy.make_recipe("myapp.ArticleRecipe", **params)
    

    The recipes simply being:

    TagRecipe = Recipe(Tag, name = seq('tag'))
    ArticleRecipe = Recipe(Article, name = seq('article'))
    

    And the models:

    class Tag(models.Model):
         name = models.CharField(max_length=255, unique=True)
         [...]
    
    class Article(models.Model):
        name = models.CharField(max_length=255, unique=True)
        tags = models.ManyToManyField(Tag, related_name="articles", blank=True, null=True)
        [...]
    

    Since version 1.2.1 I'm getting:

    ValueError: Cannot assign None: "Article_tags.article" does not allow null values.
    

    If you need more information I'll be happy to provide it.

    opened by GermanoGuerrini 10
  • TaggableManager from django-taggit fails in model creation

    TaggableManager from django-taggit fails in model creation

    This is related to #89, but it looks like recent versions of taggit's TaggableManager now subclasses Field and provides has_default() == False.

    ../../.virtualenvs/dashboard/lib/python2.7/site-packages/model_mommy/mommy.py:75: in make
    >           return mommy.make(**attrs)
    ../../.virtualenvs/dashboard/lib/python2.7/site-packages/model_mommy/mommy.py:241: in make
    >       return self._make(commit=True, **attrs)
    ../../.virtualenvs/dashboard/lib/python2.7/site-packages/model_mommy/mommy.py:277: in _make
    >                   model_attrs[field.name] = self.generate_value(field)
    ../../.virtualenvs/dashboard/lib/python2.7/site-packages/model_mommy/mommy.py:351: in generate_value
    >       return generator(**generator_attrs)
    ../../.virtualenvs/dashboard/lib/python2.7/site-packages/model_mommy/mommy.py:75: in make
    >           return mommy.make(**attrs)
    ../../.virtualenvs/dashboard/lib/python2.7/site-packages/model_mommy/mommy.py:241: in make
    >       return self._make(commit=True, **attrs)
    ../../.virtualenvs/dashboard/lib/python2.7/site-packages/model_mommy/mommy.py:277: in _make
    >                   model_attrs[field.name] = self.generate_value(field)
    ../../.virtualenvs/dashboard/lib/python2.7/site-packages/model_mommy/mommy.py:342: in generate_value
    >           raise TypeError('%s is not supported by mommy.' % field.__class__)
    E           TypeError: <class 'taggit.managers.TaggableManager'> is not supported by mommy.
    

    I can't provide a generator function for a custom field either, because the tags cannot be set from the model constructor.

    I don't see an easy way to identify this kind of fake field. :/

    opened by rouge8 10
Releases(1.5.1)
Test python asyncio-based code with ease.

aiounittest Info The aiounittest is a helper library to ease of your pain (and boilerplate), when writing a test of the asynchronous code (asyncio). Y

Krzysztof Warunek 55 Oct 30, 2022
A mocking library for requests

httmock A mocking library for requests for Python 2.7 and 3.4+. Installation pip install httmock Or, if you are a Gentoo user: emerge dev-python/httm

Patryk Zawadzki 452 Dec 28, 2022
A pytest plugin that enables you to test your code that relies on a running Elasticsearch search engine

pytest-elasticsearch What is this? This is a pytest plugin that enables you to test your code that relies on a running Elasticsearch search engine. It

Clearcode 65 Nov 10, 2022
Selenium-python but lighter: Helium is the best Python library for web automation.

Selenium-python but lighter: Helium Selenium-python is great for web automation. Helium makes it easier to use. For example: Under the hood, Helium fo

Michael Herrmann 3.2k Dec 31, 2022
A set of pytest fixtures to test Flask applications

pytest-flask An extension of pytest test runner which provides a set of useful tools to simplify testing and development of the Flask extensions and a

pytest-dev 433 Dec 23, 2022
Language-agnostic HTTP API Testing Tool

Dredd — HTTP API Testing Framework Dredd is a language-agnostic command-line tool for validating API description document against backend implementati

Apiary 4k Jan 05, 2023
✅ Python web automation and testing. 🚀 Fast, easy, reliable. 💠

Build fast, reliable, end-to-end tests. SeleniumBase is a Python framework for web automation, end-to-end testing, and more. Tests are run with "pytes

SeleniumBase 3k Jan 04, 2023
A small faсade for the standard python mocker library to make it user-friendly

unittest-mocker Inspired by the pytest-mock, but written from scratch for using with unittest and convenient tool - patch_class Installation pip insta

Vertliba V.V. 6 Jun 10, 2022
Webscreener is a tool for mass web domains pentesting.

Webscreener is a tool for mass web domains pentesting. It is used to take snapshots for domains that is generated by a tool like knockpy or Sublist3r. It cuts out most of the pentesting time by scree

Seekurity 3 Jun 07, 2021
Enabling easy statistical significance testing for deep neural networks.

deep-significance: Easy and Better Significance Testing for Deep Neural Networks Contents ⁉️ Why 📥 Installation 🔖 Examples Intermezzo: Almost Stocha

Dennis Ulmer 270 Dec 20, 2022
WEB PENETRATION TESTING TOOL 💥

N-WEB ADVANCE WEB PENETRATION TESTING TOOL Features 🎭 Admin Panel Finder Admin Scanner Dork Generator Advance Dork Finder Extract Links No Redirect H

56 Dec 23, 2022
WrightEagle AutoTest (Has been updated by Cyrus team members)

Autotest2d WrightEagle AutoTest (Has been updated by Cyrus team members) Thanks go to WrightEagle Members. Steps 1- prepare start_team file. In this s

Cyrus Soccer Simulation 2D Team 3 Sep 01, 2022
Python Webscraping using Selenium

Web Scraping with Python and Selenium The code shows how to do web scraping using Python and Selenium. We use as data the https://sbot.org.br/localize

Luís Miguel Massih Pereira 1 Dec 01, 2021
A simple serverless create api test repository. Please Ignore.

serverless-create-api-test A simple serverless create api test repository. Please Ignore. Things to remember: Setup workflow Change Name in workflow e

Sarvesh Bhatnagar 1 Jan 18, 2022
Active Directory Penetration Testing methods with simulations

AD penetration Testing Project By Ruben Enkaoua - GL4Di4T0R Based on the TCM PEH course (Heath Adams) Index 1 - Setting Up the Lab Intallation of a Wi

GL4DI4T0R 3 Aug 12, 2021
Avocado is a set of tools and libraries to help with automated testing.

Welcome to Avocado Avocado is a set of tools and libraries to help with automated testing. One can call it a test framework with benefits. Native test

Ana Guerrero Lopez 1 Nov 19, 2021
Donors data of Tamil Nadu Chief Ministers Relief Fund scrapped from https://ereceipt.tn.gov.in/cmprf/Interface/CMPRF/MonthWiseReport

Tamil Nadu Chief Minister's Relief Fund Donors Scrapped data from https://ereceipt.tn.gov.in/cmprf/Interface/CMPRF/MonthWiseReport Scrapper scrapper.p

Arunmozhi 5 May 18, 2021
Mypy static type checker plugin for Pytest

pytest-mypy Mypy static type checker plugin for pytest Features Runs the mypy static type checker on your source files as part of your pytest test run

Dan Bader 218 Jan 03, 2023
RAT-el is an open source penetration test tool that allows you to take control of a windows machine.

To prevent RATel from being detected by antivirus, please do not upload the payload to TOTAL VIRUS. Each month I will test myself if the payload gets detected by antivirus. So you’ll have a photo eve

218 Dec 16, 2022
:game_die: Pytest plugin to randomly order tests and control random.seed

pytest-randomly Pytest plugin to randomly order tests and control random.seed. Features All of these features are on by default but can be disabled wi

pytest-dev 471 Dec 30, 2022