graphene-pynamodb 0.3.1

Graphene PynamoDB integration

Please read UPGRADE-v1.0.md to learn how to upgrade to Graphene 1.0.

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Graphene-PynamoDB

A PynamoDB integration for Graphene.

Installation

For instaling graphene, just run this command in your shell

pip install graphene-pynamodb

Examples

Here is a simple PynamoDB model:

from uuid import uuid4
from pynamodb.attributes import UnicodeAttribute
from pynamodb.models import Model


class User(Model):
    class Meta:
        table_name = "my_users"
        host = "http://localhost:8000"

    id = UnicodeAttribute(hash_key=True)
    name = UnicodeAttribute(null=False)


if not User.exists():
    User.create_table(read_capacity_units=1, write_capacity_units=1, wait=True)
    User(id=str(uuid4()), name="John Snow").save()
    User(id=str(uuid4()), name="Daenerys Targaryen").save()

To create a GraphQL schema for it you simply have to write the following:

import graphene
from graphene_pynamodb import PynamoObjectType


class UserNode(PynamoObjectType):
    class Meta:
        model = User
        interfaces = (graphene.Node,)


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

    def resolve_users(self, args, context, info):
        return User.scan()


schema = graphene.Schema(query=Query)

Then you can simply query the schema:

query = '''
    query {
      users {
        name
      }
    }
'''
result = schema.execute(query)

To learn more check out the following examples:

• Full example: Flask PynamoDB example

Contributing

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

python setup.py install

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

python setup.py test # Use --pytest-args="-v -s" for verbose mode