feat: refactor features option to include row models and fns

docs/devtools.md

@@ -61,7 +61,6 @@ The devtools identify each table by the `key` table option. Registration require
 const table = useTable({
   key: 'users-table', // needed for devtools, omit if you don't want to use the devtools
   features,
-  rowModels: {},
   columns,
   data,
 })

docs/framework/angular/guide/column-faceting.md

@@ -14,19 +14,21 @@ Want to skip to the implementation? Check out these Angular examples:
 import { signal } from '@angular/core'
 import { injectTable, tableFeatures, columnFacetingFeature, columnFilteringFeature, createFacetedRowModel, createFacetedUniqueValues, createFacetedMinMaxValues, createFilteredRowModel, filterFns } from '@tanstack/angular-table'
 
-const features = tableFeatures({ columnFacetingFeature, columnFilteringFeature })
+const features = tableFeatures({
+  columnFacetingFeature,
+  columnFilteringFeature,
+  filteredRowModel: createFilteredRowModel(),
+  facetedRowModel: createFacetedRowModel(),
+  facetedUniqueValues: createFacetedUniqueValues(),
+  facetedMinMaxValues: createFacetedMinMaxValues(),
+  filterFns,
+})
 
 export class App {
   readonly data = signal(defaultData)
 
   readonly table = injectTable(() => ({
     features,
-    rowModels: {
-      filteredRowModel: createFilteredRowModel(filterFns),
-      facetedRowModel: createFacetedRowModel(),
-      facetedUniqueValues: createFacetedUniqueValues(),
-      facetedMinMaxValues: createFacetedMinMaxValues(),
-    },
     columns,
     data: this.data(),
   }))
@@ -39,7 +41,7 @@ Faceting is a feature that generates lists of values from your table's data, eit
 
 ### Column Faceting Row Models
 
-In order to use any of the column faceting features, add the `columnFacetingFeature` to your features and the appropriate faceted row models to `rowModels`. Faceting exists to power filter UIs, so in practice you will also register the `columnFilteringFeature` and a `filteredRowModel`. Without a filtered row model, the faceted row models fall back to the pre-filtered rows and the facet values will not react to other columns' filters.
+In order to use any of the column faceting features, add the `columnFacetingFeature` and the appropriate faceted row model factories to your features. Faceting exists to power filter UIs, so in practice you will also register the `columnFilteringFeature` and a `filteredRowModel`. Without a filtered row model, the faceted row models fall back to the pre-filtered rows and the facet values will not react to other columns' filters.
 
 ```ts
 import {
@@ -54,16 +56,18 @@ import {
   filterFns,
 } from '@tanstack/angular-table'
 
-const features = tableFeatures({ columnFacetingFeature, columnFilteringFeature })
+const features = tableFeatures({
+  columnFacetingFeature,
+  columnFilteringFeature,
+  filteredRowModel: createFilteredRowModel(), // facet values react to other columns' filters
+  facetedRowModel: createFacetedRowModel(), // required for faceting (other faceted row models depend on this)
+  facetedMinMaxValues: createFacetedMinMaxValues(), // if you need min/max values
+  facetedUniqueValues: createFacetedUniqueValues(), // if you need a list of unique values
+  filterFns,
+})
 
 readonly table = injectTable(() => ({
   features,
-  rowModels: {
-    filteredRowModel: createFilteredRowModel(filterFns), // facet values react to other columns' filters
-    facetedRowModel: createFacetedRowModel(), // required for faceting (other faceted row models depend on this)
-    facetedMinMaxValues: createFacetedMinMaxValues(), // if you need min/max values
-    facetedUniqueValues: createFacetedUniqueValues(), // if you need a list of unique values
-  },
   columns,
   data,
 }))
@@ -113,39 +117,46 @@ const [min, max] = table.getGlobalFacetedMinMaxValues() ?? [0, 1];
 
 ### Custom (Server-Side) Faceting
 
-Instead of using the built-in client-side faceting features, you can implement your own faceting logic on the server-side and pass the faceted values to the client-side. Supply custom `rowModels.facetedUniqueValues` and `rowModels.facetedMinMaxValues` factories. Each factory receives the table and a column ID and returns a thunk that resolves the faceted values. The column instance APIs (`column.getFacetedUniqueValues()` and `column.getFacetedMinMaxValues()`) will then return your server-provided values.
+Instead of using the built-in client-side faceting features, you can implement your own faceting logic on the server-side and pass the faceted values to the client-side. Supply custom `facetedUniqueValues` and `facetedMinMaxValues` factories in the `features` object. Each factory receives the table and a column ID and returns a thunk that resolves the faceted values. The column instance APIs (`column.getFacetedUniqueValues()` and `column.getFacetedMinMaxValues()`) will then return your server-provided values.
 
 ```ts
 readonly facetingQuery = injectQuery(() => ({
   //...
 }))
 
+const features = tableFeatures({
+  columnFacetingFeature,
+  columnFilteringFeature,
+  facetedUniqueValues: (_table, columnId) => () => {
+    const uniqueValueMap = new Map<string, number>()
+    //... populate from facetingQuery data for this columnId
+    return uniqueValueMap
+  },
+  facetedMinMaxValues: (_table, columnId) => () => {
+    //... read from facetingQuery data for this columnId
+    return [min, max]
+  },
+})
+
 readonly table = injectTable(() => ({
   features,
-  rowModels: {
-    facetedUniqueValues: (_table, columnId) => () => {
-      const uniqueValueMap = new Map<string, number>()
-      //... populate from facetingQuery data for this columnId
-      return uniqueValueMap
-    },
-    facetedMinMaxValues: (_table, columnId) => () => {
-      //... read from facetingQuery data for this columnId
-      return [min, max]
-    },
-  },
   columns,
   data,
   //...
 }))
 ```
 
-The same factories also serve global faceting. Global faceting requests values with the internal `__global__` column ID, so you can branch on it inside the same `facetedUniqueValues` and `facetedMinMaxValues` factories to return table-wide facet values:
+The same factories also serve global faceting. Global faceting requests values with the internal `__global__` column ID, so you can branch on it inside the same `facetedUniqueValues` and `facetedMinMaxValues` factory functions to return table-wide facet values:
 
 ```ts
-facetedUniqueValues: (_table, columnId) => () => {
-  if (columnId !== '__global__') return new Map() // per-column facets
-  return new Map(globalFacets.uniqueValues) // global facets
-},
+const features = tableFeatures({
+  columnFacetingFeature,
+  columnFilteringFeature,
+  facetedUniqueValues: (_table, columnId) => () => {
+    if (columnId !== '__global__') return new Map() // per-column facets
+    return new Map(globalFacets.uniqueValues) // global facets
+  },
+})
 ```
 
 Alternatively, you don't have to put any of your faceting logic through the TanStack Table APIs at all. Just fetch your lists and pass them to your filter components directly.

docs/framework/angular/guide/column-filtering.md

@@ -16,16 +16,17 @@ Want to skip to the implementation? Check out these Angular examples:
 import { signal } from '@angular/core'
 import { injectTable, tableFeatures, columnFilteringFeature, createFilteredRowModel, filterFns } from '@tanstack/angular-table'
 
-const features = tableFeatures({ columnFilteringFeature })
+const features = tableFeatures({
+  columnFilteringFeature,
+  filteredRowModel: createFilteredRowModel(),
+  filterFns,
+})
 
 export class App {
   readonly data = signal(defaultData)
 
   readonly table = injectTable(() => ({
     features,
-    rowModels: {
-      filteredRowModel: createFilteredRowModel(filterFns),
-    },
     columns,
     data: this.data(),
   }))
@@ -60,14 +61,13 @@ If you're not sure, you can always start with client-side filtering and paginati
 
 If you have decided that you need to implement server-side filtering instead of using the built-in client-side filtering, here's how you do that.
 
-No `filteredRowModel` is needed for manual server-side filtering. Instead, the `data` that you pass to the table should already be filtered. However, if you have added a `filteredRowModel` to `rowModels`, you can tell the table to skip it by setting the `manualFiltering` option to `true`.
+No `filteredRowModel` is needed for manual server-side filtering. Instead, the `data` that you pass to the table should already be filtered. However, if you have added a `filteredRowModel` to features, you can tell the table to skip it by setting the `manualFiltering` option to `true`.
 
 ```ts
 const features = tableFeatures({ columnFilteringFeature })
 
 readonly table = injectTable(() => ({
   features,
-  rowModels: {}, // no filteredRowModel needed for manual server-side filtering
   data,
   columns,
   manualFiltering: true,
@@ -78,7 +78,7 @@ readonly table = injectTable(() => ({
 
 ### Client-Side Filtering
 
-If you are using the built-in client-side filtering features, add the `columnFilteringFeature` to your features and the `filteredRowModel` to your row models. Import `createFilteredRowModel` and `filterFns` from TanStack Table:
+If you are using the built-in client-side filtering features, add the `columnFilteringFeature` and the `filteredRowModel` factory to your features. Import `createFilteredRowModel` and `filterFns` from TanStack Table:
 
 ```ts
 import {
@@ -89,13 +89,14 @@ import {
   filterFns,
 } from '@tanstack/angular-table'
 
-const features = tableFeatures({ columnFilteringFeature })
+const features = tableFeatures({
+  columnFilteringFeature,
+  filteredRowModel: createFilteredRowModel(),
+  filterFns,
+})
 
 readonly table = injectTable(() => ({
   features,
-  rowModels: {
-    filteredRowModel: createFilteredRowModel(filterFns),
-  },
   data,
   columns,
 }))
@@ -124,7 +125,6 @@ You can access the column filter state from the table instance with `table.atoms
 ```ts
 readonly table = injectTable(() => ({
   features,
-  rowModels: { filteredRowModel: createFilteredRowModel(filterFns) },
   columns,
   data,
   //...
@@ -148,7 +148,6 @@ export class App {
 
   readonly table = injectTable(() => ({
     features,
-    rowModels: { filteredRowModel: createFilteredRowModel(filterFns) },
     columns,
     data: this.data(),
     //...
@@ -169,7 +168,6 @@ readonly columnFilters = signal<ColumnFiltersState>([])
 //...
 readonly table = injectTable(() => ({
   features,
-  rowModels: { filteredRowModel: createFilteredRowModel(filterFns) },
   columns,
   data: this.data(),
   //...
@@ -190,7 +188,6 @@ If you do not need to control the column filter state in your own state manageme
 ```ts
 readonly table = injectTable(() => ({
   features,
-  rowModels: { filteredRowModel: createFilteredRowModel(filterFns) },
   columns,
   data,
   //...
@@ -278,33 +275,26 @@ const columns = [
   }
 ]
 //...
+const features = tableFeatures({
+  columnFilteringFeature,
+  filteredRowModel: createFilteredRowModel(),
+  filterFns: {
+    ...filterFns,
+    myCustomFilterFn: (row, columnId, filterValue) => {
+      return // true or false based on your custom logic
+    },
+    startsWith: startsWithFilterFn, // defined elsewhere
+  },
+})
+
 readonly table = injectTable(() => ({
   features,
-  rowModels: {
-    filteredRowModel: createFilteredRowModel({
-      ...filterFns,
-      myCustomFilterFn: (row, columnId, filterValue) => {
-        return // true or false based on your custom logic
-      },
-      startsWith: startsWithFilterFn, // defined elsewhere
-    }),
-  },
   columns,
   data,
 }))
 ```
 
-> **TypeScript Note:** For `filterFn: 'myCustomFilterFn'` string references to typecheck, augment the `FilterFns` interface with a `declare module` block:
->
-> ```ts
-> declare module '@tanstack/angular-table' {
->   interface FilterFns {
->     myCustomFilterFn: FilterFn<typeof features, MyData>
->   }
-> }
-> ```
->
-> Alternatively, skip the registry and the augmentation entirely by passing the function directly to the `filterFn` column option. See the [Fuzzy Search example](../examples/filters-fuzzy) for a complete registration with module augmentation.
+> **TypeScript Note:** For `filterFn: 'myCustomFilterFn'` string references to typecheck, register the function in the `filterFns` slot on `tableFeatures` (as shown above). Alternatively, skip the registry entirely by passing the function directly to the `filterFn` column option. See the [Fuzzy Search example](../examples/filters-fuzzy) for a complete registration example.
 
 ##### Customize Filter Function Behavior
 
@@ -356,7 +346,6 @@ const columns = [
 //...
 readonly table = injectTable(() => ({
   features,
-  rowModels: { filteredRowModel: createFilteredRowModel(filterFns) },
   columns,
   data,
   enableColumnFilters: false, // disable column filtering for all columns
@@ -374,14 +363,16 @@ By default, filtering is done from parent rows down, so if a parent row is filte
 However, if you want to allow sub-rows to be filtered and searched through, regardless of whether the parent row is filtered out, you can set the `filterFromLeafRows` table option to `true`. Setting this option to `true` will cause filtering to be done from leaf rows up, which means parent rows will be included so long as one of their child or grand-child rows is also included.
 
 ```ts
-const features = tableFeatures({ columnFilteringFeature, rowExpandingFeature })
+const features = tableFeatures({
+  columnFilteringFeature,
+  rowExpandingFeature,
+  filteredRowModel: createFilteredRowModel(),
+  expandedRowModel: createExpandedRowModel(),
+  filterFns,
+})
 
 readonly table = injectTable(() => ({
   features,
-  rowModels: {
-    filteredRowModel: createFilteredRowModel(filterFns),
-    expandedRowModel: createExpandedRowModel(),
-  },
   columns,
   data,
   filterFromLeafRows: true, // filter and search through sub-rows
@@ -395,14 +386,16 @@ By default, filtering is done for all rows in a tree, no matter if they are root
 Use `maxLeafRowFilterDepth: 0` if you want to preserve a parent row's sub-rows from being filtered out while the parent row is passing the filter.
 
 ```ts
-const features = tableFeatures({ columnFilteringFeature, rowExpandingFeature })
+const features = tableFeatures({
+  columnFilteringFeature,
+  rowExpandingFeature,
+  filteredRowModel: createFilteredRowModel(),
+  expandedRowModel: createExpandedRowModel(),
+  filterFns,
+})
 
 readonly table = injectTable(() => ({
   features,
-  rowModels: {
-    filteredRowModel: createFilteredRowModel(filterFns),
-    expandedRowModel: createExpandedRowModel(),
-  },
   columns,
   data,
   maxLeafRowFilterDepth: 0, // only filter root level parent rows out

docs/framework/angular/guide/column-ordering.md

@@ -21,7 +21,6 @@ export class App {
 
   readonly table = injectTable(() => ({
     features,
-    rowModels: {},
     columns,
     data: this.data(),
   }))
@@ -55,7 +54,6 @@ const features = tableFeatures({ columnOrderingFeature })
 
 readonly table = injectTable(() => ({
   features,
-  rowModels: {},
   //...
   initialState: {
     columnOrder: ['columnId1', 'columnId2', 'columnId3'],
@@ -88,7 +86,6 @@ export class App {
 
   readonly table = injectTable(() => ({
     features,
-    rowModels: {},
     //...
     atoms: {
       columnOrder: this.columnOrderAtom,
@@ -109,7 +106,6 @@ readonly columnOrder = signal<ColumnOrderState>(['columnId1', 'columnId2', 'colu
 //...
 readonly table = injectTable(() => ({
   features,
-  rowModels: {},
   //...
   state: {
     columnOrder: this.columnOrder(),
@@ -138,7 +134,6 @@ const features = tableFeatures({ columnOrderingFeature })
 export class App {
   readonly table = injectTable(() => ({
     features,
-    rowModels: {},
     columns,
     data: this.data(),
     initialState: {