graphene-django-filter 0.4.1

Advanced filters for Graphene

Graphene-Django-Filter

This package contains advanced filters for graphene-django. The standard filtering feature in Graphene-Django relies on the Django-Filter library and therefore provides a flat API without the ability to use and and or expressions. This library makes the API nested and adds the and and or composition by extension of the DjangoFilterConnectionField field and the FilterSet class.

Requirements

• Python (3.6, 3.7, 3.8, 3.9, 3.10)
• Graphene-Django (2.15)

Features

Nested API with the ability to use and and or expressions

To use, simply replace all DjangoFilterConnectionField fields with AdvancedDjangoFilterConnectionField fields in your queries. Also, if you create custom FilterSets, replace the inheritance from the FilterSet class with the inheritance from the AdvancedFilterSet class. For example, the following task query exposes an old flat API.

import graphene
from django_filters import FilterSet
from graphene_django import DjangoObjectType
from graphene_django.filter import DjangoFilterConnectionField

class TaskFilter(FilterSet)
    class Meta:
        model = Task
        fields = {
            'name': ('exact', 'contains'),
            'user__email': ('exact', 'contains'),
            'user__last_name': ('exact', 'contains'),
        }
 
class UserType(DjangoObjectType):
    class Meta:
        model = User
        interfaces = (graphene.relay.Node,)
        fields = '__all__'
        
class TaskType(DjangoObjectType):
    user = graphene.Field(UserType)

    class Meta:
        model = Task
        interfaces = (graphene.relay.Node,)
        fields = '__all__'
        filterset_class = TaskFilter
        
class Query(graphene.ObjectType):
    tasks = DjangoFilterConnectionField(TaskType)

The flat API in which all filters are applied using the "and" operator looks like this.

{
  tasks(
    name_Contains: "important"
    user_Email_Contains: "john"
    user_LastName: "Dou"
  ){
    edges {
      node {
        id
        name
      }
    }
  }
}

After replacing the field class with the AdvancedDjangoFilterConnectionField and the FilterSet class with the AdvancedFilterSet the API becomes nested with support for and and or expressions.

from graphene_django_filter import AdvancedDjangoFilterConnectionField, AdvancedFilterSet

class TaskFilter(AdvancedFilterSet)
    class Meta:
        model = Task
        fields = {
            'name': ('exact', 'contains'),
            'user__email': ('exact', 'contains'),
            'user__last_name': ('exact', 'contains'),
        }

class Query(graphene.ObjectType):
    tasks = AdvancedDjangoFilterConnectionField(TaskType)

For example, the following query returns tasks whose names contain the word "important" or the user's email address contains the word "john" and the user's last name is "Dou". Note that the operators are applied to lookups such as contains, exact, etc. at the last level of nesting.

{
  tasks(
    filter: {
      or: [
        {name: {contains: "important"}}
        and: [
          {user: email: {contains: "john"}}
          {user: lastName: {exact: "Dou"}}
        ]
      ]
    }
  ){
    edges {
      node {
        id
        name
      }
    }
  }
}

The same result can be achieved with an alternative query structure because within the same object the and operator is always used.

{
  tasks(
    filter: {
      or: [
        {name: {contains: "important"}}
        {
          user: {
            email: {contains: "john"}
            lastName: {exact: "Dou"}
          }
        }
      ]
    }
  ){
    edges {
      node {
        id
        name
      }
    }
  }
}

The filter input type has the following structure.

input FilterInputType {
  and: [FilterInputType]
  or: [FilterInputType]
  ...FieldLookups
}

For more examples, see tests.