Other technologies

Ariadne can be used to add GraphQL server to projects developed using any web framework that supports JSON responses.

Implementation details differ between frameworks, but same steps apply for most of them:

1. Use make_executable_schema to create executable schema instance.
2. Create view, route or controller (semantics vary between frameworks) that accepts GET and POST requests.
3. If request was made with GET method, return response containing GraphQL Playground's HTML.
4. If request was made with POST, disable any CSRF checks, test that its content type is application/json then parse its content as JSON. Return 400 BAD REQUEST if this fails.
5. Call graphql_sync with schema, parsed JSON and any other options that are fit for your implementation.
6. graphql_sync returns tuple that has two values: boolean and dict. Use dict as data for JSON response, and boolean for status code. If boolean is true, set response's status code to 200, otherwise it should be 400

See the Flask integration for implementation of this algorithm using Flask framework.

Asynchronous servers

If your server stack supports ASGI, you can use graphql to execute GraphQL queries asynchronously and subscribe for websocket connections initialized by subscriptions.

File uploads

To support file uploads, your POST method implementation will need to be extended to allow the multipart/form-data requests, following algorithm supplied below:

1. Parse JSON stored in operations and map value of HTTP request. Return response with 400 status code if parsing of those values fails.
2. Create dict (or any Python object that implements __getitem__) that contains remaining query's values. If possible, filter off items that aren't an uploaded file.
3. Call combine_multipart_data with operations, map and data structure from step 2 as its values.
4. Call graphql or graphql_sync with value returned by combine_multipart_data passed in data argument.

Rest of the algorithm is same as in regular queries.