ASGI
Strawberry comes with a basic ASGI integration. It provides an app that you can use to serve your GraphQL schema. Before using Strawberry’s ASGI support make sure you install all the required dependencies by running:
pip install 'strawberry-graphql[asgi]'Once that's done you can use Strawberry with ASGI like so:
# server.py
from strawberry.asgi import GraphQL
 
from api.schema import schema
 
app = GraphQL(schema) Every ASGI server will accept this app  instance to start the server. For
example if you’re using uvicorn  you run the
app with uvicorn server:app  
Options
 The GraphQL  app accepts the following options at the moment: 
-  schema: mandatory, the schema created bystrawberry.Schema.
-  graphql_ide: optional, defaults to"graphiql", allows to choose the GraphQL IDE interface (one ofgraphiql,apollo-sandboxorpathfinder) or to disable it by passingNone.
-  allow_queries_via_get: optional, defaults toTrue, whether to enable queries viaGETrequests
-  multipart_uploads_enabled: optional, defaults toFalse, controls whether to enable multipart uploads. Please make sure to consider the security implications mentioned in the GraphQL Multipart Request Specification when enabling this feature.
Extending the view
 The base GraphQL  class can be extended by overriding any of the following
methods: 
-  async def get_context(self, request: Union[Request, WebSocket], response: Union[Response, WebSocket]) -> Context
-  async def get_root_value(self, request: Union[Request, WebSocket]) -> Optional[RootValue]
-  async def process_result(self, request: Request, result: ExecutionResult) -> GraphQLHTTPResponse
-  def decode_json(self, data: Union[str, bytes]) -> object
-  def encode_json(self, data: object) -> str
-  async def render_graphql_ide(self, request: Request) -> Response
-  async def on_ws_connect(self, context: Context) -> Union[UnsetType, None, Dict[str, object]]
get_context
 get_context  allows to provide a custom context object that can be used in your
resolver. You can return anything here, by default we return a dictionary with
the request and the response. 
import strawberry
from typing import Union
from strawberry.asgi import GraphQL
from starlette.requests import Request
from starlette.responses import Response
 
 
class MyGraphQL(GraphQL):
    async def get_context(
        self, request: Union[Request, WebSocket], response: Optional[Response] = None
    ):
        return {"example": 1}
 
 
@strawberry.type
class Query:
    @strawberry.field
    def example(self, info: strawberry.Info) -> str:
        return str(info.context["example"])Here we are returning a custom context dictionary that contains only one item called "example".
Then we use the context in a resolver, the resolver will return "1" in this case.
Setting response headers
 It is possible to use get_context  to set response headers. A common use case
might be cookie-based user authentication, where your login mutation resolver
needs to set a cookie on the response. 
 This is possible by updating the response object contained inside the context of
the Info  object. 
import strawberry
 
 
@strawberry.type
class Mutation:
    @strawberry.mutation
    def login(self, info: strawberry.Info) -> bool:
        token = do_login()
        info.context["response"].set_cookie(key="token", value=token)
        return TrueSetting background tasks
Similarly, background tasks can be set on the response via the context:
import strawberry
from starlette.background import BackgroundTask
 
 
async def notify_new_flavour(name: str): ...
 
 
@strawberry.type
class Mutation:
    @strawberry.mutation
    def create_flavour(self, name: str, info: strawberry.Info) -> bool:
        info.context["response"].background = BackgroundTask(notify_new_flavour, name)get_root_value
 get_root_value  allows to provide a custom root value for your schema, this is
probably not used a lot but it might be useful in certain situations. 
Here’s an example:
import strawberry
from typing import Union
from strawberry.asgi import GraphQL
from starlette.requests import Request
from starlette.websockets import WebSocket
 
 
class MyGraphQL(GraphQL):
    async def get_root_value(self, request: Union[Request, WebSocket]):
        return Query(name="Patrick")
 
 
@strawberry.type
class Query:
    name: strHere we are returning a Query where the name is "Patrick", so we when requesting the field name we'll return "Patrick" in this case.
process_result
 process_result  allows to customize and/or process results before they are sent
to the clients. This can be useful logging errors or hiding them (for example to
hide internal exceptions). 
 It needs to return an object of GraphQLHTTPResponse  and accepts the request
and the execution results. 
from strawberry.asgi import GraphQL
from strawberry.http import GraphQLHTTPResponse
from strawberry.types import ExecutionResult
from starlette.requests import Request
 
 
class MyGraphQL(GraphQL):
    async def process_result(
        self, request: Request, result: ExecutionResult
    ) -> GraphQLHTTPResponse:
        data: GraphQLHTTPResponse = {"data": result.data}
 
        if result.errors:
            data["errors"] = [err.formatted for err in result.errors]
 
        return dataIn this case we are doing the default processing of the result, but it can be tweaked based on your needs.
decode_json
 decode_json  allows to customize the decoding of HTTP JSON requests. By default
we use json.loads  but you can override this method to use a different decoder. 
from strawberry.asgi import GraphQL
from typing import Union
import orjson
 
 
class MyGraphQLView(GraphQL):
    def decode_json(self, data: Union[str, bytes]) -> object:
        return orjson.loads(data) Make sure your code raises json.JSONDecodeError  or a subclass of it if the
JSON cannot be decoded. The library shown in the example above, orjson , does
this by default. 
encode_json
 encode_json  allows to customize the encoding of HTTP and WebSocket JSON
responses. By default we use json.dumps  but you can override this method to
use a different encoder. 
import json
from strawberry.asgi import GraphQL
 
 
class MyGraphQLView(GraphQL):
    def encode_json(self, data: object) -> str:
        return json.dumps(data, indent=2)render_graphql_ide
 In case you need more control over the rendering of the GraphQL IDE than the
graphql_ide  option provides, you can override the render_graphql_ide  method. 
from strawberry.asgi import GraphQL
from starlette.responses import HTMLResponse, Response
 
 
class MyGraphQL(GraphQL):
    async def render_graphql_ide(self, request: Request) -> Response:
        custom_html = """<html><body><h1>Custom GraphQL IDE</h1></body></html>"""
 
        return HTMLResponse(custom_html)on_ws_connect
 By overriding on_ws_connect  you can customize the behavior when a graphql-ws 
or graphql-transport-ws  connection is established. This is particularly useful
for authentication and authorization. By default, all connections are accepted. 
 To manually accept a connection, return strawberry.UNSET  or a connection
acknowledgment payload. The acknowledgment payload will be sent to the client. 
 Note that the legacy protocol does not support None /null  acknowledgment
payloads, while the new protocol does. Our implementation will treat
None /null  payloads the same as strawberry.UNSET  in the context of the
legacy protocol. 
 To reject a connection, raise a ConnectionRejectionError . You can optionally
provide a custom error payload that will be sent to the client when the legacy
GraphQL over WebSocket protocol is used. 
from typing import Dict
from strawberry.exceptions import ConnectionRejectionError
from strawberry.asgi import GraphQL
 
 
class MyGraphQL(GraphQL):
    async def on_ws_connect(self, context: Dict[str, object]):
        connection_params = context["connection_params"]
 
        if not isinstance(connection_params, dict):
            # Reject without a custom graphql-ws error payload
            raise ConnectionRejectionError()
 
        if connection_params.get("password") != "secret":
            # Reject with a custom graphql-ws error payload
            raise ConnectionRejectionError({"reason": "Invalid password"})
 
        if username := connection_params.get("username"):
            # Accept with a custom acknowledgment payload
            return {"message": f"Hello, {username}!"}
 
        # Accept without a acknowledgment payload
        return await super().on_ws_connect(context)