Generate files with fake data.
Project description
Create files with fake data. In many formats. With no efforts.
Prerequisites
All of core dependencies of this package are MIT licensed. Most of optional dependencies of this package are MIT licensed, while a few are BSD-, Apache 2-, GPL or HPND licensed.
All licenses are mentioned below between the brackets.
Core package requires Python 3.7, 3.8, 3.9, 3.10 or 3.11.
Faker (MIT) is the only required dependency.
Django (BSD) integration with factory_boy (MIT) has been tested with Django starting from version 2.2 to 4.2 (although only maintained versions of Django are currently being tested against).
BMP, GIF and TIFF file support requires WeasyPrint (BSD), pdf2image (MIT), Pillow (HPND) and poppler (GPLv2).
DOCX file support requires python-docx (MIT).
ICO, JPEG, PNG, SVG and WEBP files support requires imgkit (MIT) and wkhtmltopdf (LGPLv3).
PDF file support requires either combination of pdfkit (MIT) and wkhtmltopdf (LGPLv3), or reportlab (BSD).
PPTX file support requires python-pptx (MIT).
ODP and ODT file support requires odfpy (Apache 2).
ODS file support requires tablib (MIT) and odfpy (Apache 2).
PathyFileSystemStorage storage support requires pathy (Apache 2).
AWSS3Storage storage support requires pathy (Apache 2) and boto3 (Apache 2).
AzureCloudStorage storage support requires pathy (Apache 2) and azure-storage-blob (MIT).
GoogleCloudStorage storage support requires pathy (Apache 2) and google-cloud-storage (Apache 2).
SFTPStorage storage support requires paramiko (LGLPv2.1).
AugmentFileFromDirProvider provider requires nlpaug (MIT), PyTorch (BSD), transformers (Apache 2), numpy (BSD), pandas (BSD), tika (Apache 2) and Apache Tika (Apache 2).
Documentation
Documentation is available on Read the Docs.
For bootstrapping check the Quick start.
For various ready to use code examples see the Recipes.
For tips on PDF creation see Creating PDF.
For tips on DOCX creation see Creating DOCX.
For tips on ODT creation see Creating ODT.
For CLI options see the CLI.
Read the Methodology.
For guidelines on contributing check the Contributor guidelines.
Installation
Latest stable version from PyPI
WIth all dependencies
pip install faker-file[all]
Only core
pip install faker-file
With most common dependencies
Everything, except ML libraries which are required for data augmentation only
pip install faker-file[common]
With DOCX support
pip install faker-file[docx]
With EPUB support
pip install faker-file[epub]
With images support
pip install faker-file[images]
With PDF support
pip install faker-file[pdf]
With MP3 support
pip install faker-file[mp3]
With XLSX support
pip install faker-file[xlsx]
With ODS support
pip install faker-file[ods]
With ODT support
pip install faker-file[odt]
With data augmentation support
pip install faker-file[data-augmentation]
With GoogleCloudStorage support
pip install faker-file[gcs]
With AzureCloudStorage support
pip install faker-file[azure]
With AWSS3Storage support
pip install faker-file[s3]
Or development version from GitHub
pip install https://github.com/barseghyanartur/faker-file/archive/main.tar.gz
Features
Supported file types
BIN
BMP
CSV
DOCX
EML
EPUB
ICO
GIF
JPEG
JSON
MP3
ODS
ODT
ODP
PDF
PNG
RTF
PPTX
SVG
TAR
TIFF
TXT
WEBP
XLSX
XML
ZIP
Additional providers
AugmentFileFromDirProvider: Make an augmented copy of randomly picked file from given directory. The following types are supported : DOCX, EML, EPUB, ODT, PDF, RTF and TXT.
AugmentRandomImageFromDirProvider: Augment a random image file from given directory. The following types are supported : BMP, GIF, JPEG, PNG, TIFF and WEBP.
AugmentImageFromPathProvider: Augment an image file from given path. Supported file types are the same as for AugmentRandomImageFromDirProvider provider.
GenericFileProvider: Create files in any format from raw bytes or a predefined template.
RandomFileFromDirProvider: Pick a random file from given directory.
FileFromPathProvider: File from given path.
Supported file storages
Native file system storage
AWS S3 storage
Azure Cloud Storage
Google Cloud Storage
SFTP storage
Usage examples
With Faker
Recommended way
from faker import Faker
# Import the file provider we want to use
from faker_file.providers.txt_file import TxtFileProvider
FAKER = Faker() # Initialise Faker instance
FAKER.add_provider(TxtFileProvider) # Register the TXT file provider
file = FAKER.txt_file() # Generate a TXT file
# Meta-data is stored inside a ``data`` attribute (``dict``).
# The following line would produce something like /tmp/tmp/tmphzzb8mot.txt
print(file.data["filename"])
# The following line would produce a text generated by Faker, used as
# the content of the generated file.
print(file.data["content"])
If you just need bytes back (instead of creating the file), provide the raw=True argument (works with all provider classes and inner functions):
raw = FAKER.txt_file(raw=True)
But this works too
from faker import Faker
from faker_file.providers.txt_file import TxtFileProvider
FAKER = Faker()
file = TxtFileProvider(FAKER).txt_file()
If you just need bytes back:
raw = TxtFileProvider(FAKER).txt_file(raw=True)
With factory_boy
upload/models.py
from django.db import models
class Upload(models.Model):
# ...
file = models.FileField()
upload/factories.py
Note, that when using faker-file with Django and native file system storages, you need to pass your MEDIA_ROOT setting as root_path value to the chosen file storage as show below.
import factory
from django.conf import settings
from factory import Faker
from factory.django import DjangoModelFactory
from faker_file.providers.docx_file import DocxFileProvider
from faker_file.storages.filesystem import FileSystemStorage
from upload.models import Upload
FS_STORAGE = FileSystemStorage(
root_path=settings.MEDIA_ROOT,
rel_path="tmp"
)
factory.Faker.add_provider(DocxFileProvider)
class UploadFactory(DjangoModelFactory):
# ...
file = Faker("docx_file", storage=FS_STORAGE)
class Meta:
model = Upload
Meta-data
The return value of any file provider file generator function is either StringValue or BytesValue, which inherit from str and bytes respectively.
Both StringValue and BytesValue instances have a meta data attribute named data (type dict). Various file providers use data to store meta-data, such as filename (absolute path to the generated file; valid for all file providers), or content (text used when generating the file; valid for most file providers, except FileFromPathProvider, RandomFileFromDirProvider, TarFileProvider and ZipFileProvider).
All file providers store an absolute path to the generated file in filename key of the data attribute and instance of the storage used in storage key. See the table below.
Key name |
File provider |
---|---|
filename |
all |
storage |
all |
content |
all except FileFromPathProvider, RandomFileFromDirProvider, TarFileProvider, ZipFileProvider and all graphic file providers such as GraphicBmpFileProvider, GraphicGifFileProvider, GraphicIcoFileProvider, GraphicJpegFileProvider, GraphicPdfFileProvider, GraphicPngFileProvider, GraphicTiffFileProvider and GraphicWebpFileProvider |
inner |
only EmlFileProvider, TarFileProvider and ZipFileProvider |
File storages
All file operations are delegated to a separate abstraction layer of storages.
The following storages are implemented:
FileSystemStorage: Does not have additional requirements.
PathyFileSystemStorage: Requires pathy.
AzureCloudStorage: Requires pathy and Azure related dependencies.
GoogleCloudStorage: Requires pathy and Google Cloud related dependencies.
AWSS3Storage: Requires pathy and AWS S3 related dependencies.
SFTPStorage: Requires paramiko and related dependencies.
Usage example with storages
FileSystemStorage example
Native file system storage. Does not have dependencies.
root_path: Path to the root directory. Given the example of Django, this would be the path to the MEDIA_ROOT directory. It’s important to know, that root_path will not be embedded into the string representation of the file. Only rel_path will.
rel_path: Relative path from the root directory. Given the example of Django, this would be the rest of the path to the file.
import tempfile
from faker import Faker
from faker_file.providers.txt_file import TxtFileProvider
from faker_file.storages.filesystem import FileSystemStorage
FS_STORAGE = FileSystemStorage(
root_path=tempfile.gettempdir(), # Use settings.MEDIA_ROOT for Django
rel_path="tmp",
)
FAKER = Faker()
file = TxtFileProvider(FAKER).txt_file(storage=FS_STORAGE)
FS_STORAGE.exists(file)
PathyFileSystemStorage example
Native file system storage. Requires pathy.
import tempfile
from pathy import use_fs
from faker import Faker
from faker_file.providers.txt_file import TxtFileProvider
from faker_file.storages.cloud import PathyFileSystemStorage
use_fs(tempfile.gettempdir())
PATHY_FS_STORAGE = PathyFileSystemStorage(
bucket_name="bucket_name",
root_path="tmp",
rel_path="sub-tmp",
)
FAKER = Faker()
file = TxtFileProvider(FAKER).txt_file(storage=PATHY_FS_STORAGE)
PATHY_FS_STORAGE.exists(file)
AWSS3Storage example
AWS S3 storage. Requires pathy and boto3.
from faker import Faker
from faker_file.providers.txt_file import TxtFileProvider
from faker_file.storages.aws_s3 import AWSS3Storage
S3_STORAGE = AWSS3Storage(
bucket_name="bucket_name",
root_path="tmp", # Optional
rel_path="sub-tmp", # Optional
# Credentials are optional too. If your AWS credentials are properly
# set in the ~/.aws/credentials, you don't need to send them
# explicitly.
credentials={
"key_id": "YOUR KEY ID",
"key_secret": "YOUR KEY SECRET"
},
)
FAKER = Faker()
file = TxtFileProvider(FAKER).txt_file(storage=S3_STORAGE)
S3_STORAGE.exists(file)
Testing
Simply type:
pytest -vrx
Or use tox:
tox
Or use tox to check specific env:
tox -e py310-django41
Writing documentation
Keep the following hierarchy.
=====
title
=====
header
======
sub-header
----------
sub-sub-header
~~~~~~~~~~~~~~
sub-sub-sub-header
^^^^^^^^^^^^^^^^^^
sub-sub-sub-sub-header
++++++++++++++++++++++
sub-sub-sub-sub-sub-header
**************************
License
MIT
Support
For security issues contact me at the e-mail given in the Author section.
For overall issues, go to GitHub.
Citation
Please, use the following entry when citing faker-file in your research:
@software{faker-file,
author = {Artur Barseghyan},
title = {faker-file: Create files with fake data. In many formats. With no efforts.},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {https://github.com/barseghyanartur/faker-file},
}
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