{
    "info": {
        "author": "Tom\u00e1s Fox",
        "author_email": "tomas.c.fox@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Web Environment",
            "Framework :: Django",
            "Framework :: Django :: 1.11",
            "Framework :: Django :: 2.0",
            "Framework :: Django :: 2.1",
            "Framework :: Django :: 2.2",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6"
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        "description": "# graphene-django-optimizer\n\n[![build status](https://img.shields.io/travis/tfoxy/graphene-django-optimizer.svg)](https://travis-ci.org/tfoxy/graphene-django-optimizer)\n[![coverage](https://img.shields.io/codecov/c/github/tfoxy/graphene-django-optimizer.svg)](https://codecov.io/gh/tfoxy/graphene-django-optimizer)\n[![PyPI version](https://img.shields.io/pypi/v/graphene-django-optimizer.svg)](https://pypi.org/project/graphene-django-optimizer/)\n![python version](https://img.shields.io/pypi/pyversions/graphene-django-optimizer.svg)\n![django version](https://img.shields.io/pypi/djversions/graphene-django-optimizer.svg)\n\nOptimize queries executed by [graphene-django](https://github.com/graphql-python/graphene-django) automatically, using [`select_related`](https://docs.djangoproject.com/en/2.0/ref/models/querysets/#select-related), [`prefetch_related`](https://docs.djangoproject.com/en/2.0/ref/models/querysets/#prefetch-related) and [`only`](https://docs.djangoproject.com/en/2.0/ref/models/querysets/#only) methods of Django QuerySet.\n\n\n## Install\n\n```bash\npip install graphene-django-optimizer\n```\n\n\n## Usage\n\nHaving the following schema based on [the tutorial of graphene-django](http://docs.graphene-python.org/projects/django/en/latest/tutorial-plain/#hello-graphql-schema-and-object-types) (notice the use of `gql_optimizer`)\n\n```py\n# cookbook/ingredients/schema.py\nimport graphene\n\nfrom graphene_django.types import DjangoObjectType\nimport graphene_django_optimizer as gql_optimizer\n\nfrom cookbook.ingredients.models import Category, Ingredient\n\n\nclass CategoryType(DjangoObjectType):\n    class Meta:\n        model = Category\n\n\nclass IngredientType(DjangoObjectType):\n    class Meta:\n        model = Ingredient\n\n\nclass Query(object):\n    all_categories = graphene.List(CategoryType)\n    all_ingredients = graphene.List(IngredientType)\n\n    def resolve_all_categories(root, info):\n        return gql_optimizer.query(Category.objects.all(), info)\n\n    def resolve_all_ingredients(root, info):\n        return gql_optimizer.query(Ingredient.objects.all(), info)\n```\n\n\nWe will show some graphql queries and the queryset that will be executed.\n\nFetching all the ingredients with the related category:\n\n```graphql\n{\n  all_ingredients {\n    id\n    name\n    category {\n        id\n        name\n    }\n  }\n}\n```\n\n```py\n# optimized queryset:\ningredients = (\n    Ingredient.objects\n    .select_related('category')\n    .only('id', 'name', 'category__id', 'category__name')\n)\n```\n\nFetching all the categories with the related ingredients:\n\n```graphql\n{\n  all_categories {\n    id\n    name\n    ingredients {\n        id\n        name\n    }\n  }\n}\n```\n\n```py\n# optimized queryset:\ncategories = (\n    Category.objects\n    .only('id', 'name')\n    .prefetch_related(Prefetch(\n        'ingredients',\n        queryset=Ingredient.objects.only('id', 'name'),\n    ))\n)\n```\n\n\n## Advanced usage\n\nSometimes we need to have a custom resolver function. In those cases, the field can't be auto optimized.\nSo we need to use `gql_optimizer.resolver_hints` decorator to indicate the optimizations.\n\nIf the resolver returns a model field, we can use the `model_field` argument:\n\n```py\nimport graphene\nimport graphene_django_optimizer as gql_optimizer\n\n\nclass ItemType(gql_optimizer.OptimizedDjangoObjectType):\n    product = graphene.Field('ProductType')\n\n    @gql_optimizer.resolver_hints(\n        model_field='product',\n    )\n    def resolve_product(root, info):\n        # check if user have permission for seeing the product\n        if info.context.user.is_anonymous():\n            return None\n        return root.product\n```\n\nThis will automatically optimize any subfield of `product`.\n\nNow, if the resolver uses related fields, you can use the `select_related` argument:\n\n```py\nimport graphene\nimport graphene_django_optimizer as gql_optimizer\n\n\nclass ItemType(gql_optimizer.OptimizedDjangoObjectType):\n    name = graphene.String()\n\n    @gql_optimizer.resolver_hints(\n        select_related=('product', 'shipping'),\n        only=('product__name', 'shipping__name'),\n    )\n    def resolve_name(root, info):\n        return '{} {}'.format(root.product.name, root.shipping.name)\n```\n\nNotice the usage of the type `OptimizedDjangoObjectType`, which enables\noptimization of any single node queries.\n\nFinally, if your field has an argument for filtering results,\nyou can use the `prefetch_related` argument with a function\nthat returns a `Prefetch` instance as the value.\n\n```py\nfrom django.db.models import Prefetch\nimport graphene\nimport graphene_django_optimizer as gql_optimizer\n\n\nclass CartType(gql_optimizer.OptimizedDjangoObjectType):\n    items = graphene.List(\n        'ItemType',\n        product_id=graphene.ID(),\n    )\n\n    @gql_optimizer.resolver_hints(\n        prefetch_related=lambda info, product_id: Prefetch(\n            'items',\n            queryset=gql_optimizer.query(Item.objects.filter(product_id=product_id), info),\n            to_attr='gql_product_id_' + product_id,\n        ),\n    )\n    def resolve_items(root, info, product_id):\n        return getattr(root, 'gql_product_id_' + product_id)\n```\n\nWith these hints, any field can be optimized.\n\n\n### Optimize with non model fields\n\nSometimes we need to have a custom non model fields. In those cases, the optimizer would not optimize with the Django `.only()` method.\nSo if we still want to optimize with the `.only()` method, we need to use `disable_abort_only` option:\n\n```py\n\nclass IngredientType(gql_optimizer.OptimizedDjangoObjectType):\n    calculated_calories = graphene.String()\n\n    class Meta:\n        model = Ingredient\n    \n    def resolve_calculated_calories(root, info):\n        return get_calories_for_ingredient(root.id)\n\n\nclass Query(object):\n    all_ingredients = graphene.List(IngredientType)\n\n    def resolve_all_ingredients(root, info):\n        return gql_optimizer.query(Ingredient.objects.all(), info, disable_abort_only=True)\n```",
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