Chalice
Strawberry comes with an AWS Chalice integration. It provides a view that you can use to serve your GraphQL schema:
Use the Chalice CLI to create a new project
Replace the contents of app.py with the following:
And then run chalice local
to start the localhost
The GraphiQL interface can then be opened in your browser on http://localhost:8000/graphql
Options
The GraphQLView
accepts two options at the moment:
-
schema
: mandatory, the schema created bystrawberry.Schema
. -
graphiql
: optional, defaults toTrue
, whether to enable the GraphiQL interface.
Extending the view
We allow to extend the base GraphQLView
, by overriding the following methods:
-
get_context(self, request: Request, response: TemporalResponse) -> Any
-
get_root_value(self, request: Request) -> Any
-
process_result(self, request: Request, result: ExecutionResult) -> GraphQLHTTPResponse
-
encode_json(self, response_data: GraphQLHTTPResponse) -> str
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. By default; the Response
object from flask
is injected via the
parameters.
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.
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:
Here 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 execution
result.
In this case we are doing the default processing of the result, but it can be tweaked based on your needs.
encode_json
encode_json
allows to customize the encoding of the JSON response. By default
we use json.dumps
but you can override this method to use a different encoder.