Yeah, we felt that pain with 100+ types, and I wanted something that was going to keep our queries up to date automatically across our app when we made changes to our schema, and hopefully keep queries from breaking.
It wasnt really intended to be published or anything, so you will probably have to tweak it, but I went ahead and threw it in a Gist to be able to accept and track any changes or contributions. I feel like it could be beefed up since DGraph has its own consistent naming conventions.
https://gist.github.com/pbassham/0da8bc73929e2fabc1c40351b5bd9a04
We have this set to run as a githook when there are any detected changes to our schema file so that it is always up-to-date. (Using Husky and Lint-staged)
It generates export objects that you can then import into other files one by one
import { FRAGS } from '../contexts/Fragments/codeGenFragments'
And use like this…
const myQuery = gql`
query getSettings ($username: String!) {
getUser(username: $username) {
username #String!
userId #Int Scalar
hasEmail {
...emailFields
} #Email! #added by NON_NULL
hasGroupAccess {
...groupAccessFields
} #GroupAccess OBJECT #added by LIST
isContact {
...contactFields
} #Contact! #added by NON_NULL
isAccount {
...accountFields
} #Account OBJECT #added by OBJECT
hasHadActivity {
...activityFields
} #Activity OBJECT #added by LIST
}
}
${FRAGS.contactFields},
${FRAGS.emailFields},
${FRAGS.groupAccessFields},
${FRAGS.activityFields},
${FRAGS.accountFields},
`
Sample export of the generator script:
import gql from 'graphql-tag'
export const FRAGS = {
checkFields: gql`
fragment checkFields on Check {
id #ID!
checkNumber #String!
amount #Float!
memo #String Scalar
cleared #Boolean Scalar
}`,
contactCategoryFields: gql`
fragment contactCategoryFields on ContactCategory {
id #ID!
slug #String Scalar
name #String!
description #String Scalar
isPublic #Boolean!
color #String Scalar
}`,
// ...ditto for each type in your schema
}
Right now it just is for queries, but could be expanded to generate fragments for mutations, subscriptions, etc. Or, other types of files.
I modified this to also create a ‘prettySchema.md’ file in markdown that is much easier to skim than a raw .graphql file sometimes.
I made a separate post on how we setup githooks to always keep these fragments up to date on any schema change, if you are interested in that.