## Summary: When genqlient generates output types, it generates whatever code is necessary to unmarshal them. Conversely, when it generates input types, it generates whatever code is necessary to marshal. This is all that's needed for genqlient itself: it never needs to marshal output types or unmarshal input types. But maybe you do! (For example, to put the responses in a cache, which is the use case that @csilvers hit at Khan, although there are others one can imagine.) While we can't support every serialization format you might want (at least not without adding plugins or some such), it's not unreasonable to expect that since genqlient can read JSON, it can write it too. Sadly, in the past this was not true for types requiring custom unmarshaling logic, for several reasons. In this commit I implement logic to always write both marshalers and unmarshalers whenever they're needed to be able to correctly round-trip the types, even though genqlient doesn't do so. I wasn't starting from scratch, since of course we already write both marshalers and unmarshalers in some cases. But this ended up requiring surprisingly large changes on the marshaling side, mostly to correctly support embedding (which we use for named fragments). Specifically, as the comments in `types.go` discuss, the most difficult issue is spreads with duplicate fields, which translate to Go embedded fields which end up hidden from the json-marshaler. Ultimately, I had to do things quite differently from unmarshaling, and essentially flatten the type when we write marshaler. But in the end it's not so ugly -- indeed arguably it's cleaner! Mainly it's just different. One thing to note is that we do marshal `__typename` based on what we know about the types; users need not fill it in (and if they do we'll ignore it). This seemed to me to be a better UX, and didn't add much complexity. In general, I begin to wonder whether using `encoding/json` at all is really right for genqlient: we're doing a lot of work to appease it, despite knowing what our types look like. I think it would still be a significant increase in lines of code to roll our own, but that code would perhaps be simpler, and would surely be faster (although if we just want the speed gains we could use another JSON-generator library, see also #47). Anyway, something to think about in the future. ## Test plan: make tesc Author: benjaminjkraft Reviewers: csilvers, StevenACoffman, benjaminjkraft, dnerdy, aberkan, jvoll, mahtabsabet, MiguelCastillo Required Reviewers: Approved By: StevenACoffman, dnerdy Checks: ✅ Test (1.17), ✅ Test (1.16), ✅ Test (1.15), ✅ Test (1.14), ✅ Lint, ✅ Test (1.17), ✅ Test (1.16), ✅ Test (1.15), ✅ Test (1.14), ✅ Lint Pull Request URL: https://github.com/Khan/genqlient/pull/120
genqlient: a truly type-safe Go GraphQL client
What is genqlient?
genqlient is a Go library to easily generate type-safe code to query a GraphQL API. It takes advantage of the fact that both GraphQL and Go are typed languages to ensure at compile-time that your code is making a valid GraphQL query and using the result correctly, all with a minimum of boilerplate.
genqlient provides:
- Compile-time validation of GraphQL queries: never ship an invalid GraphQL query again!
- Type-safe response objects: genqlient generates the right type for each query, so you know the response will unmarshal correctly and never need to use
interface{}. - Production-readiness: genqlient is used in production at Khan Academy, where it supports millions of learners and teachers around the world.
How do I use genqlient?
You can download and run genqlient the usual way: go run github.com/Khan/genqlient. To set your project up to use genqlient, see the getting started guide, or the example. For more complete documentation, see the docs.
How can I help?
genqlient welcomes contributions! Check out the (Contribution Guidelines), or file an issue on GitHub.
Why another GraphQL client?
Most common Go GraphQL clients have you write code something like this:
query := `query GetUser($id: ID!) { user(id: $id) { name } }`
variables := map[string]interface{}{"id": "123"}
var resp struct {
Me struct {
Name graphql.String
}
}
client.Query(ctx, query, &resp, variables)
fmt.Println(query.Me.Name)
// Output: Luke Skywalker
This code works, but it has a few problems:
- While the response struct is type-safe at the Go level; there's nothing to check that the schema looks like you expect. Maybe the field is called
fullName, notname; or maybe you capitalized it wrong (since Go and GraphQL have different conventions); you won't know until runtime. - The GraphQL variables aren't type-safe at all; you could have passed
{"id": true}and again you won't know until runtime! - You have to write everything twice, or hide the query in complicated struct tags, or give up what type safety you do have and resort to
interface{}.
These problems aren't a big deal in a small application, but for serious production-grade tools they're not ideal. And they should be entirely avoidable: GraphQL and Go are both typed languages; and GraphQL servers expose their schema in a standard, machine-readable format. We should be able to simply write a query and have that automatically validated against the schema and turned into a Go struct which we can use in our code. In fact, there's already good prior art to do this sort of thing: 99designs/gqlgen is a popular server library that generates types, and Apollo has a codegen tool to generate similar client-types for several other languages. (See docs/DESIGN.md for more prior art.)
genqlient fills that gap: you just specify the query, and it generates type-safe helpers, validated against the schema, that make the query.