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Command to anonymize sensitive data.

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# Django-Hattori

Command to anonymize sensitive data. This app helps you anonymize data in a database used for development of a Django project.

This app is based on [Django-Database-Anonymizer](, using [Faker]( to anonymize the values.

## Installation

Install using pip:

pip install django-hattori

Then add ``'hattori'`` to your ``INSTALLED_APPS``.


### Important

***You should only run the anonymize process in PRE or development environments***. To avoid problems by default anonymization is disabled.

To enable you must add to settings ```ANONYMIZE_ENABLED=True```

## Usage

How to execute command:

./ anonymize_db

Possible arguments:

* ```-a, --app```: Define a app you want to anonymize. All anonymizers in this app will be run. Eg. ```anonymize_db -a shop```
* ```-m, --models```: List of models you want to anonymize. Eg. ```anonymize_db -m Customer,Product```
* ```-b, --batch-size```: batch size used in the bulk_update of the instances. Depends on the DB machine, default use 500.

## Writing anonymizers

In order to use the management command we need to define _**anonymizers**_.

* Create a module _anonymizers.py_ in the given django-app
* An _anonymizer_ is a simple class that inherits from ```BaseAnonymizer```
* Each anonymizer class is going to represent **one** model
* An anonymizer has the following members:
* ```model```: (required) The model class for this anonymizer
* ```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**_
* ```get_query_set()```: (optional) Define your QuerySet
* A _replacer_ is either of type _str_ or _callable_
* A callable _replacer_ is a Faker instance or custom replacer.
* All Faker methods are available. For more info read the official documentation [Faker!](

#### Example
from hattori.base import BaseAnonymizer, faker
from shop.models import Customer

class CustomerAnonymizer(BaseAnonymizer):
model = Customer

attributes = [
('card_number', faker.credit_card_number),
('first_name', faker.first_name),
('last_name', faker.last_name),
('phone', faker.phone_number),
('comment', faker.text),
('description', 'fix string'),
('code', faker.pystr),

def get_query_set(self):
return Customer.objects.filter(age__gt=18)

#### Extending the existing replacers with arguments
Use lambdas to extend certain predefined replacers with arguments, like `min_chars` or `max_chars` on `faker.pystr`:

('code', lambda **kwargs: faker.pystr(min_chars=250, max_chars=250, **kwargs)),

**Important**: don't forget the ****kwargs**!

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