Skip to content

graphql-python/graphene-mongo

Repository files navigation

Build Status Coverage Status Documentation Status PyPI version PyPI pyversions Downloads

Lint Test Package

Graphene-Mongo

A Mongoengine integration for Graphene.

Installation

For installing graphene-mongo, just run this command in your shell

pip install graphene-mongo

Examples

Here is a simple Mongoengine model as models.py:

from mongoengine import Document
from mongoengine.fields import StringField


class User(Document):
    meta = {'collection': 'user'}
    first_name = StringField(required=True)
    last_name = StringField(required=True)

To create a GraphQL schema and sync executor; for it you simply have to write the following:

import graphene

from graphene_mongo import MongoengineObjectType

from .models import User as UserModel


class User(MongoengineObjectType):
    class Meta:
        model = UserModel


class Query(graphene.ObjectType):
    users = graphene.List(User)

    def resolve_users(self, info):
        return list(UserModel.objects.all())


schema = graphene.Schema(query=Query)

Then you can simply query the schema:

query = '''
    query {
        users {
            firstName,
            lastName
        }
    }
'''
result = await schema.execute(query)

To create a GraphQL schema and async executor; for it you simply have to write the following:

import graphene

from graphene_mongo import AsyncMongoengineObjectType
from graphene_mongo.utils import sync_to_async
from concurrent.futures import ThreadPoolExecutor

from .models import User as UserModel


class User(AsyncMongoengineObjectType):
    class Meta:
        model = UserModel


class Query(graphene.ObjectType):
    users = graphene.List(User)

    async def resolve_users(self, info):
        return await sync_to_async(list, thread_sensitive=False,
                             executor=ThreadPoolExecutor())(UserModel.objects.all())


schema = graphene.Schema(query=Query)

Then you can simply query the schema:

query = '''
    query {
        users {
            firstName,
            lastName
        }
    }
'''
result = await schema.execute_async(query)

To learn more check out the following examples:

Contributing

After cloning this repo, ensure dependencies are installed by running:

pip install -r requirements.txt

After developing, the full test suite can be evaluated by running:

make test
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy