I have the following datamodel:
type Job {
// ...
example: String
selections: [Selection!]
// ...
}
type Selection {
...
question: String
...
}
I define my object type so:
export const Job = prismaObjectType({
name: 'Job',
definition(t) {
t.prismaFields([
// ...
'example',
{
name: 'selections',
},
// ...
])
},
})
I do my resolver this way:
t.field('createJob', {
type: 'Job',
args: {
// ...
example: stringArg(),
selections: stringArg(),
// ...
},
resolve: (parent, {
example,
selections
}, ctx) => {
// The resolver where I do a ctx.prisma.createJob and connect/create with example
},
})
So now in the resolver I can receive the selections as json string and then parse it and connect/create with the job.
The mutation would look like this:
mutation {
createJob(
example: "bla"
selections: "ESCAPED JSON HERE"
){
id
}
}
I was wondering if there's anything more elegant where I could do something like:
mutation {
createJob(
example: "bla"
selections: {
question: "bla"
}
){
id
}
}
or
mutation {
createJob(
example: "bla"
selections(data: {
// ...
})
){
id
}
}
I've noticed that with nexus-prisma you can do stringArg({list: true})
but you can't really do objects.
My main question is what is the most elegant way to do either nested mutation or connect all in one.
You can use an inputObjectType as shown in the docs:
export const SomeFieldInput = inputObjectType({
name: "SomeFieldInput",
definition(t) {
t.string("name", { required: true });
t.int("priority");
},
});
Make sure to include the type as part of the types
you pass to makeSchema
. You can then use it to define an argument, like
args: {
input: arg({
type: "SomeFieldInput", // name should match the name you provided
}),
}
Now, the argument value will be available to your resolver as a regular JavaScript object, not a String. If you need a list of input objects, or want to make the argument required, you do so using the same options you would provide with when using a scalar -- list
, nullable
, description
, etc.
Here's a complete example:
const Query = queryType({
definition(t) {
t.field('someField', {
type: 'String',
nullable: true,
args: {
input: arg({
type: "SomeFieldInput", // name should match the name you provided
}),
},
resolve: (parent, { input }) => {
return `You entered: ${input && input.name}`
},
})
},
})
const SomeFieldInput = inputObjectType({
name: "SomeFieldInput",
definition(t) {
t.string("name", { required: true });
},
});
const schema = makeSchema({
types: {Query, SomeFieldInput},
outputs: {
...
},
});
Then query it like:
query {
someField(
input: {
name: "Foo"
}
)
}
Or using variables:
query($input: SomeFieldInput) {
someField(input: $input)
}