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    "info": {
        "author": "Marc Galofr\u00e9",
        "author_email": "mgalofre@apsl.net",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Topic :: Software Development"
        ],
        "description": "# Django-Hattori\n\n[![pypi](https://img.shields.io/pypi/v/django-hattori.svg)](https://pypi.python.org/pypi/django-hattori/)\n\n\nCommand to anonymize sensitive data. This app helps you anonymize data in a database used for development of a Django project.\n\nThis app is based on [Django-Database-Anonymizer](https://github.com/Blueshoe/Django-Database-Anonymizer), using [Faker](https://github.com/joke2k/faker) to anonymize the values.\n\n## Installation\n\nInstall using pip:\n\n```\npip install django-hattori\n```\n\nThen add ``'hattori'`` to your ``INSTALLED_APPS``.\n\n```\nINSTALLED_APPS = [\n    ...\n    'hattori',\n]\n```\n\n### Important\n\n***You should only run the anonymize process in PRE or development environments***. To avoid problems by default anonymization is disabled.\n\nTo enable you must add to settings ```ANONYMIZE_ENABLED=True```\n\n\n## Usage\n\nHow to execute command:\n\n    ./manage.py anonymize_db\n\nPossible arguments:\n\n* ```-a, --app```: Define a app you want to anonymize. All anonymizers in this app will be run. Eg. ```anonymize_db -a shop```\n* ```-m, --models```: List of models you want to anonymize. Eg. ```anonymize_db -m Customer,Product```\n* ```-b, --batch-size```: batch size used in the bulk_update of the instances. Depends on the DB machine, default use 500.\n\n\n## Writing anonymizers\n\nIn order to use the management command we need to define _**anonymizers**_.\n\n* Create a module _anonymizers.py_ in the given django-app\n* An _anonymizer_ is a simple class that inherits from ```BaseAnonymizer```\n* Each anonymizer class is going to represent **one** model\n* An anonymizer has the following members:\n    * ```model```: (required) The model class for this anonymizer\n    * ```attributes```: (required) List of tuples that determine which fields to replace. The first value of the tuple is the fieldname, the second value is the _**replacer**_\n    * ```get_query_set()```: (optional) Define your QuerySet\n* A _replacer_ is either of type _str_ or _callable_\n* A callable _replacer_ is a Faker instance or custom replacer.\n* All Faker methods are available. For more info read the official documentation [Faker!](http://faker.readthedocs.io/en/master/providers.html)\n\n\n#### Example\n```\nfrom hattori.base import BaseAnonymizer, faker\nfrom shop.models import Customer\n\nclass CustomerAnonymizer(BaseAnonymizer):\n    model = Customer\n\n    attributes = [\n        ('card_number', faker.credit_card_number),\n        ('first_name', faker.first_name),\n        ('last_name', faker.last_name),\n        ('phone', faker.phone_number),\n        ('email', faker.email),\n        ('city', faker.city),\n        ('comment', faker.text),\n        ('description', 'fix string'),\n        ('code', faker.pystr),\n    ]\n\n    def get_query_set(self):\n        return Customer.objects.filter(age__gt=18)\n```\n\n#### Extending the existing replacers with arguments\nUse lambdas to extend certain predefined replacers with arguments, like `min_chars` or `max_chars` on `faker.pystr`:\n\n```\n('code', lambda **kwargs: faker.pystr(min_chars=250, max_chars=250, **kwargs)),\n```\n\n**Important**: don't forget the ****kwargs**!\n\n\n",
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        "name": "django-hattori",
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