Skip to main content

Minimalistic, standalone alternative fake data generator with no dependencies.

Project description

Minimalistic, standalone alternative fake data generator with no dependencies.

PyPI Version Supported Python versions Build Status Documentation Status MIT Coverage

fake.py is a standalone, portable library designed for generating various random data types for testing.

It offers a simplified, dependency-free alternative for creating random texts, (person) names, URLs, dates, file names, IPs, primitive Python data types (such as uuid, str, int, float, bool) and byte content for multiple file formats including PDF, DOCX, PNG, SVG, BMP, and GIF.

The package also supports file creation on the filesystem and includes factories (dynamic fixtures) compatible with Django, TortoiseORM, Pydantic and SQLAlchemy.

Features

  • Generation of random texts, (person) names, emails, URLs, dates, IPs, and primitive Python data types.

  • Support for various file formats (PDF, DOCX, TXT, PNG, SVG, BMP, GIF) and file creation on the filesystem.

  • Basic factories for integration with Django, Pydantic, TortoiseORM and SQLAlchemy.

Prerequisites

Python 3.8+

Installation

pip

pip install fake.py

Download and copy

fake.py is the sole, self-contained module of the package. It includes tests too. If it’s more convenient to you, you could simply download the fake.py module and include it in your repository.

Since tests are included, it won’t have a negative impact on your test coverage (you might need to apply tweaks to your coverage configuration).

Documentation

Usage

Generate data

Person names

from fake import FAKER

FAKER.first_name()  # str
FAKER.first_names()  # list[str]
FAKER.last_name()  # str
FAKER.last_names()  # list[str]
FAKER.name()  # str
FAKER.names()  # list[str]
FAKER.username()  # str
FAKER.usernames()  # list[str]

Random texts

from fake import FAKER

FAKER.slug()  # str
FAKER.slugs()  # list[str]
FAKER.word()  # str
FAKER.words()  # list[str]
FAKER.sentence()  # str
FAKER.sentences()  # list[str]
FAKER.paragraph()  # str
FAKER.paragraphs()  # list[str]
FAKER.text()  # str
FAKER.texts()  # list[str]

Internet

from fake import FAKER

FAKER.email()  # str
FAKER.url()  # str
FAKER.image_url()  # str
FAKER.ipv4()  # str

Filenames

from fake import FAKER

FAKER.file_name()  # str

Primitive data types

from fake import FAKER

FAKER.pyint()  # int
FAKER.pybool()  # bool
FAKER.pystr()  # str
FAKER.pyfloat()  # flot
FAKER.uuid()  # uuid.UUID

Dates

from fake import FAKER

FAKER.date()  # datetime.date
FAKER.date_time()  # datetime.datetime

Generate files

As bytes

from fake import FAKER

FAKER.pdf()  # bytes
FAKER.docx()  # bytes
FAKER.png()  # bytes
FAKER.svg()  # bytes
FAKER.bmp()  # bytes
FAKER.gif()  # bytes

As files on the file system

from fake import FAKER

FAKER.pdf_file()  # str
FAKER.docx_file()  # str
FAKER.png_file()  # str
FAKER.svg_file()  # str
FAKER.bmp_file()  # str
FAKER.gif_file()  # str
FAKER.txt_file()  # str

Factories/dynamic fixtures

This is how you could define factories for Django’s built-in Group and User models.

Filename: factories.py

from django.contrib.auth.models import Group, User
from fake import (
    DjangoModelFactory,
    FACTORY,
    PostSave,
    PreSave,
    trait,
)


class GroupFactory(DjangoModelFactory):
    """Group factory."""

    name = FACTORY.word()

    class Meta:
        model = Group
        get_or_create = ("name",)


def set_password(user: User, password: str) -> None:
    """Helper function for setting password for the User."""
    user.set_password(password)


def add_to_group(user: User, name: str) -> None:
    """Helper function for adding the User to a Group."""
    group = GroupFactory(name=name)
    user.groups.add(group)


class UserFactory(DjangoModelFactory):
    """User factory."""

    username = FACTORY.username()
    first_name = FACTORY.first_name()
    last_name = FACTORY.last_name()
    email = FACTORY.email()
    date_joined = FACTORY.date_time()
    last_login = FACTORY.date_time()
    is_superuser = False
    is_staff = False
    is_active = FACTORY.pybool()
    password = PreSave(set_password, password="test1234")
    group = PostSave(add_to_group, name="Test group")

    class Meta:
        model = User
        get_or_create = ("username",)

    @trait
    def is_admin_user(self, instance: User) -> None:
        """Trait."""
        instance.is_superuser = True
        instance.is_staff = True
        instance.is_active = True

And this is how you could use it:

# Create just one user
user = UserFactory()

# Create 5 users
users = UserFactory.create_batch(5)

# Create a user using `is_admin_user` trait
user = UserFactory(is_admin_user=True)

# Create a user with custom password
user = UserFactory(
    password=PreSave(set_password, password="another-password"),
)

# Add a user to another group
user = UserFactory(
    group=PostSave(add_to_group, name="Another group"),
)

# Or even add user to multiple groups at once
user = UserFactory(
    group_1=PostSave(add_to_group, name="Another group"),
    group_2=PostSave(add_to_group, name="Yet another group"),
)

Customize

Make your own custom providers and utilize factories with them.

Filename: custom_fake.py

import random
import string

from fake import Faker, Factory, provider


class CustomFaker(Faker):

    @provider
    def postal_code(self) -> str:
        number_part = "".join(random.choices(string.digits, k=4))
        letter_part = "".join(random.choices(string.ascii_uppercase, k=2))
        return f"{number_part} {letter_part}"


FAKER = CustomFaker()
FACTORY = Factory(FAKER)

Now you can use it as follows (make sure to import your custom instances of FAKER and FACTORY):

from custom_fake import FAKER  # Custom `FAKER` instance

FAKER.postal_code()

Or as follows:

from fake import ModelFactory

from custom_fake import FACTORY  # Custom `FACTORY` instance


class AddressFactory(ModelFactory):

    # ... other definitions
    postal_code = FACTORY.postal_code()
    # ... other definitions

    class Meta:
        model = Address

Tests

Run the tests with unittest:

python -m unittest fake.py

Or pytest:

pytest

Differences with alternatives

fake.py is Faker + factory_boy + faker-file in one package, radically simplified and reduced in features, but without any external dependencies (not even Pillow or dateutil).

fake.py is modeled after the famous Faker package. Its’ API is highly compatible, although drastically reduced. It’s not multilingual and does not support postal codes or that many RAW file formats. However, you could easily include it in your production setup without worrying about yet another dependency.

On the other hand, fake.py factories look quite similar to factory_boy factories, although again - drastically simplified and reduced in features.

The file generation part of fake.py are modelled after the faker-file. You don’t get a large variety of file types supported and you don’t have that much control over the content of the files generated, but you get dependency-free valid files and if that’s all you need, you don’t need to look further.

However, at any point, if you discover that you “need more”, go for Faker, factory_boy and faker-file combination.

License

MIT

Support

For security issues contact me at the e-mail given in the Author section.

For overall issues, go to GitHub.

Author

Artur Barseghyan <artur.barseghyan@gmail.com>

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fake_py-0.7.tar.gz (114.2 kB view details)

Uploaded Source

Built Distribution

fake.py-0.7-py3-none-any.whl (31.1 kB view details)

Uploaded Python 3

File details

Details for the file fake_py-0.7.tar.gz.

File metadata

  • Download URL: fake_py-0.7.tar.gz
  • Upload date:
  • Size: 114.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for fake_py-0.7.tar.gz
Algorithm Hash digest
SHA256 0a32733d6013dceff075644e10d9e30c18c0d86ee0f836c1b24ecfe2b1e5b4e5
MD5 f6eff7aa3a7c48b5257c43c6fb0c16bc
BLAKE2b-256 cdb239cf08ad0f7e832c282ffa02a67a733b25860963b04fae683753c2e6f1b8

See more details on using hashes here.

File details

Details for the file fake.py-0.7-py3-none-any.whl.

File metadata

  • Download URL: fake.py-0.7-py3-none-any.whl
  • Upload date:
  • Size: 31.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for fake.py-0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 d8c9a1099164d9ab991c56e450a74f7fc734f2d930eeabde27bb574103aa288f
MD5 7bbe1a570fb25dd2c7d8da84b3d3e72c
BLAKE2b-256 381cb75c9d471b0bb17c23613571325c3450e49ef01616d0ee9aefefaf3c0965

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page