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A Mongoengine integration for Graphene.
For installing graphene-mongo, just run this command in your shell
pip install graphene-mongo
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:
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
FAQs
Graphene Mongoengine integration
We found that graphene-mongo demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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