ruvector/studio/data/graphql/execute.ts
rUv 814f595995 feat(studio): Add complete RuVector Studio application
Major additions:
- Complete Next.js studio application with 1600+ components
- Docker support (Dockerfile.combined, docker-compose.yml)
- GCP deployment documentation and benchmarks
- SQL benchmark scripts for performance testing
- Sentry integration for monitoring
- Comprehensive test suite and mocks

Studio features:
- Dashboard and admin interfaces
- Data visualization components
- Authentication and user management
- API integration with RuVector backend
- Static data and public assets

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-06 23:04:48 +00:00

36 lines
863 B
TypeScript

import { handleError } from 'data/fetchers'
import type { TypedDocumentString } from './graphql'
const CONTENT_API_URL = process.env.NEXT_PUBLIC_CONTENT_API_URL!
export async function executeGraphQL<TResult, TVariables>(
query: TypedDocumentString<TResult, TVariables>,
{ variables, signal }: { variables?: TVariables; signal?: AbortSignal }
) {
try {
const response = await fetch(CONTENT_API_URL, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
query,
variables,
}),
signal,
})
if (!response.ok) {
throw new Error('Failed network response from Content API')
}
const { data, errors } = await response.json()
if (errors) {
throw errors
}
return data as TResult
} catch (err) {
handleError(err)
}
}