A project for running Graphene on top of Tornado in Python 2 and 3. The codebase is a port of graphene-django.
Create a Tornado application and add the GraphQL handlers:
import tornado.web
from tornado.ioloop import IOLoop
from graphene_tornado.schema import schema
from graphene_tornado.tornado_graphql_handler import TornadoGraphQLHandler
class ExampleApplication(tornado.web.Application):
def __init__(self):
handlers = [
(r'/graphql', TornadoGraphQLHandler, dict(graphiql=True, schema=schema)),
(r'/graphql/batch', TornadoGraphQLHandler, dict(graphiql=True, schema=schema, batch=True)),
(r'/graphql/graphiql', TornadoGraphQLHandler, dict(graphiql=True, schema=schema))
]
tornado.web.Application.__init__(self, handlers)
if __name__ == '__main__':
app = ExampleApplication()
app.listen(5000)
IOLoop.instance().start()When writing your resolvers, decorate them with either Tornado's @coroutine decorator for Python 2.7:
@gen.coroutine
def resolve_foo(self, info):
foo = yield db.get_foo()
raise Return(foo)Or use the async / await pattern in Python 3:
async def resolve_foo(self, info):
foo = await db.get_foo()
return foo
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent