| # Data Library and Layers | |
| ## Overview | |
| The dashboard uses a light approach to data fetching and state management. It leverages [TanStack Query](https://tanstack.com/query) (formerly React Query) for server state management and avoids Redux in favor of a more direct, hooks-based approach. | |
| ## Architecture | |
| The data library is organized around these key principles: | |
| 1. **REST API-centric**: All data is fetched from the WordPress.com REST API | |
| 2. **Type safety**: Strong TypeScript types for all data structures | |
| 3. **Data separation**: Clear separation between fetching logic and UI components | |
| 4. **Caching**: Simple caching strategies for optimized performance: Load from local cache first and refetch on navigation/focus. | |
| 5. **Loader pattern**: Data is prefetched through route loaders where possible | |
| The data library consist of two layers: | |
| - data source | |
| - data queries (with state management) | |
| ## Data source: `client/dashboard/data/` | |
| This layer exports the API integration with the REST API, and the data types that are consumed by the dashboard components. | |
| ### API integration | |
| The data source layer uses `wpcom` from `calypso/lib/wp` for REST API calls. Each data requirement has corresponding fetch functions in `client/dashboard/data/<endpoint-group>.ts`. For example: | |
| `client/dashboard/data/site-reset.ts`: | |
| ```typescript | |
| export async function fetchSiteResetStatus( siteId: number ): Promise< SiteResetStatus > { | |
| return wpcom.req.get( { | |
| path: `/sites/${ siteId }/reset-site/status`, | |
| apiNamespace: 'wpcom/v2', | |
| } ); | |
| } | |
| ``` | |
| We usually return the raw response from the API. If you need to process the response (e.g. filter), you can do so in the data fetching layer via TanStack's [select](https://tanstack.com/query/latest/docs/framework/react/guides/render-optimizations#select) option. | |
| ### Data types | |
| The data source layer defines clear TypeScript interfaces for the data structures returned / consumed by the endpoints, in the same file as the fetch functions. For example: | |
| `client/dashboard/data/site-reset.ts`: | |
| ```typescript | |
| export type SiteResetStatus = { | |
| status: 'in-progress' | 'ready' | 'completed'; | |
| progress: number; | |
| }; | |
| ``` | |
| An "index" `client/dashboard/data/types.ts` is provided, which re-exports all data types from all endpoints. This allows for easy import of all data types from the dashboard components. | |
| ## Data queries (fetching and mutation): `client/dashboard/app/queries/` | |
| The dashboard uses a combination of route loaders and component-level queries to fetch data, all using TanStack Query. This allows for both prefetching data for routes and fetching data on-demand within components. | |
| ### Route loaders | |
| The primary data-fetching pattern uses route loaders to prefetch data before rendering components: | |
| ```typescript | |
| const siteSettingsPHPRoute = createRoute( { | |
| getParentRoute: () => siteRoute, | |
| path: 'settings/php', | |
| loader: async ( { params: { siteSlug } } ) => { | |
| const site = await queryClient.ensureQueryData( siteBySlugQuery( siteSlug ) ); | |
| if ( hasHostingFeature( site, HostingFeatures.PHP ) ) { | |
| await queryClient.ensureQueryData( sitePHPVersionQuery( site.ID ) ); | |
| } | |
| }, | |
| } ).lazy( () => | |
| import( '../sites/settings-php' ).then( ( d ) => | |
| createLazyRoute( 'site-settings-php' )( { | |
| component: () => <d.default siteSlug={ siteRoute.useParams().siteSlug } />, | |
| } ) | |
| ) | |
| ); | |
| ``` | |
| TanStack's `queryClient.ensureQueryData` checks if data is already cached before fetching, improving performance by avoiding unnecessary requests. | |
| ### Component-level queries | |
| At the component level, we use the `useQuery` hook to fetch data. This includes the data that we preloaded in the route loader: | |
| ```typescript | |
| const { data: currentVersion } = useQuery( { | |
| ...sitePHPVersionQuery( site.ID ), | |
| enabled: hasHostingFeature( site, HostingFeatures.PHP ), | |
| } ); | |
| ``` | |
| as well as data that are specific to a component or that need more dynamic control: | |
| ```typescript | |
| const { data: siteContentSummary } = useQuery( | |
| siteResetContentSummaryQuery( site.ID ) | |
| ); | |
| ``` | |
| ### Queries centralization | |
| Queries are reused between loaders and components. To encourage cache reusability between different parts of the app, we centralize the queries definitions in the `client/dashboard/app/queries/` directory. | |
| ## Adding new data sources | |
| To add a new data source to the dashboard: | |
| 1. Create fetch functions and related types in `client/dashboard/data/<endpoint-group>.ts`. | |
| 3. Define a new query in `client/dashboard/app/queries/` if needed. | |
| 4. Use the query in a router loader or component. | |
| ### Example: adding a new data entity | |
| `client/dashboard/data/entity.ts`: | |
| ```typescript | |
| // Define the type | |
| export interface NewEntity { | |
| id: string; | |
| name: string; | |
| // other properties... | |
| } | |
| // Create the fetch function | |
| export async function fetchNewEntity( id: string ): Promise< NewEntity > { | |
| return wpcom.req.get( { | |
| path: `/entity/${id}`, | |
| apiNamespace: 'rest/v1.1', | |
| } ); | |
| } | |
| ``` | |
| `client/dashboard/app/queries/entity.ts`: | |
| ```typescript | |
| // Define the query | |
| export const newEntityQuery = ( id: string ) => ( { | |
| queryKey: [ 'newEntity', id ], | |
| queryFn: () => fetchNewEntity( id ), | |
| staleTime: 5 * 60 * 1000, // 5 minutes | |
| } ); | |
| ``` | |
| ```typescript | |
| // Use in a component | |
| const { data, isLoading, error } = useQuery( newEntityQuery( id ) ); | |
| // Use in a route loader | |
| loader: ( { params: { id } } ) => | |
| queryClient.ensureQueryData( newEntityQuery( id ) ), | |
| ``` | |