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OpenAPI → React Query Hooks

Auto-generated useQuery + useMutation hooks per endpoint.

Runs in your browser
OpenAPI spec · source
lines: 42chars: 924size: 924 B
React Query hooks · 2 operation(s) · result
lines: 16chars: 391size: 391 B
live

Understanding OpenAPI → React Query

Endpoints into hooks, hooks into pages.

What generated hooks look like, the cache-key conventions that decide whether invalidation works, and the mutation pattern that survives a refactor.

One hook per endpoint.

The codegen reads OpenAPI and produces one React-Query hook per operation. AGET /users/{id} becomes useGetUser(id); the hook returns{ data, isLoading, error }. A POST /users becomesuseCreateUser(), returning a mutate function. Each hook is fully typed against the OpenAPI schemas; argument shape and return type are inferred without any handwritten generics.

Cache keys.

React-Query indexes the cache by an array key. The codegen uses a predictable structure: ["getUser", id] for the example above. Two hooks with the same array share the same cache entry; refetching one updates the other. The predictability matters: mutations need to know exactly which cache entries to invalidate, and the answer should not require reading the generator's source.

Mutations that invalidate.

The canonical pattern: useCreateUser on success callsqueryClient.invalidateQueries({ queryKey: ["listUsers"] }). The user list refetches, the new user appears, the UI stays consistent. The codegen can wire this automatically when the spec includes x-related-operationsextensions, or you write the invalidation manually in a thin wrapper. Either way, the cache key must be stable, which is why the predictable structure matters.

A worked page.

A user-profile page calls const { data: user, isLoading } = useGetUser(userId). The generated hook auto-deduplicates if two components on the same page request the same user. While loading, the page shows a skeleton; on success, it renders user.name. The "edit profile" form usesuseUpdateUser; on success it invalidates ["getUser", userId]and the page rerenders with fresh data. Zero handwritten fetch code.

Profile + edit

useGetUser + useUpdateUser

One read hook, one mutation hook, automatic refresh.

invalidateQueries(['getUser', userId]) on edit success

= Consistent UI by default

Suspense vs callback mode.

React-Query supports two modes. Classic: const { data, isLoading } = useQuery(...) — the component handles loading/error states. Suspense: const { data } = useSuspenseQuery(...) — the component renders only when data is ready; loading is handled by a parent <Suspense>. The codegen can emit both; pick one per app. Suspense yields cleaner components but harder error boundaries.

Where it stops helping.

Optimistic updates need code that depends on UI semantics — what to show during the in-flight mutation. WebSocket subscriptions don't fit React-Query's request-response model; use a separate library. Long polls and SSE need custom wrappers arounduseQuery. Authentication flows beyond a static header need an Axios interceptor. The codegen gets you the boring 90 %; the interesting 10 % is still where the product lives.

Frequently asked questions

Quick answers.

Does this tool support both JSON and YAML?

Yes. You can paste an OpenAPI specification in either format, and the generator will parse the structure automatically.

Are the generated hooks type-safe?

Yes. The tool generates TypeScript interfaces based on your schema definitions, providing full autocompletion for request parameters and response data.

Which version of React Query is supported?

The output is compatible with TanStack Query v4 and v5. It generates standard hooks that expect a shared `fetcher` function or Axios instance.

Is my API specification sent to a server?

No. The conversion logic runs entirely within your browser environment. Your API paths, schemas, and security definitions never leave your device.

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