django-generic-contact 1.0.0

Django Generic Contact

Django module to store contact request in a structured yet generic manner within the database.

Installation

1. Install using pip:

pip install django-generic-contact

2. Integrate django_generic_contact into your settings.py

INSTALLED_APPS = [
    # ...
    'django_generic_contact',
    # ...
]

Usage

The package provides you with a Contact model which expects data (dict) and the name of the requester, an optional message can be added:

from django_generic_contact.models import Contact

contact = Contact.objects.create(
    name="Mr. Tester",
    message="Please contact me via email or phone.",
    data={
        "email": "mr@tester.com",
        "phone": "123456",
    }
)

JSON Schema validation

The contents of data will be validated against a json schema defined in your project's settings.py (if provided). If needed you can define GENERIC_CONTACT_DATA_SCHEMA to check all relevant input according to the expected structure, e.g.:

GENERIC_CONTACT_DATA_SCHEMA = {
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "type": "object",
    "properties": {
        "email": {"type": "string", "format": "email"},
        "phone": {"type": "integer"},
    },
}

See more examples of GENERIC_CONTACT_DATA_SCHEMA in tests/testapp/tests/test_model.py.

Customizing the Contact model

The base model GenericContact only requires the data. Thus you can let your own models inherit from this and extend it according to your project's needs, e.g.:

from django_generic_contact.models import GenericContact

class CustomContact(GenericContact):
    birth_date = models.Datetime(_("birth date"))
    zip = models.CharField(_("zip"))

Unit Tests

See folder tests/. The provided tests cover these criteria:

• success:
  • Contact model instance creation
  • project's jsonschema validation
• failure:
  • project's jsonschema validation
  • exemplary custom jsonschema validation

Follow below instructions to run the tests. You may exchange the installed Django and DRF versions according to your requirements. :warning: Depending on your local environment settings you might need to explicitly call python3 instead of python.

# install dependencies
python -m pip install --upgrade pip
pip install -r requirements.txt

# setup environment
pip install -e .

# run tests
cd tests && python manage.py test

Contributing

Contributions are welcomed! Read the Contributing Guide for more information.

Licensing

See LICENSE for more information.