Metadata-Version: 2.1
Name: graphene-mongo
Version: 0.4.4
Summary: Graphene Mongoengine integration
Home-page: https://github.com/graphql-python/graphene-mongo
License: MIT
Keywords: graphene-mongo,graphql,api,graphql,protocol,relay,graphene,mongo,mongoengine
Author: Abaw Chen
Author-email: abaw.chen@gmail.com
Requires-Python: >=3.9,<4
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries
Requires-Dist: asgiref (>=3.7.2,<4.0.0)
Requires-Dist: graphene (>=3.1.1)
Requires-Dist: graphene-federation (>=3.1.5)
Requires-Dist: mongoengine (>=0.27)
Requires-Dist: promise (>=2.3)
Project-URL: Repository, https://github.com/graphql-python/graphene-mongo
Description-Content-Type: text/markdown

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# Graphene-Mongo

A [Mongoengine](https://mongoengine-odm.readthedocs.io/) integration for [Graphene](http://graphene-python.org/).

## 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`:

```python
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:

```python
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:

```python
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:

```python
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:

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

To learn more check out the following [examples](examples/):

* [Flask MongoEngine example](examples/flask_mongoengine)
* [Django MongoEngine example](examples/django_mongoengine)
* [Falcon MongoEngine example](examples/falcon_mongoengine)

## Contributing

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

```sh
pip install -r requirements.txt
```

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

```sh
make test
```

