[feat] Surface missing models in Errors tab (Cloud) (#9743)

## Summary
When a workflow is loaded with missing models, users currently have no
way to identify or resolve them from within the UI. This PR adds a full
missing-model detection and resolution pipeline that surfaces missing
models in the Errors tab, allowing users to install or import them
without leaving the editor.

## Changes

### Missing Model Detection
- Scan all COMBO widgets across root graph and subgraphs for model-like
filenames during workflow load
- Enrich candidates with embedded workflow metadata (url, hash,
directory) when available
- Verify asset-supported candidates against the asset store
asynchronously to confirm installation status
- Propagate missing model state to `executionErrorStore` alongside
existing node/prompt errors

### Errors Tab UI — Model Resolution
- Group missing models by directory (e.g. `checkpoints`, `loras`, `vae`)
with collapsible category cards
- Each model row displays:
  - Model name with copy-to-clipboard button
  - Expandable list of referencing nodes with locate-on-canvas button
- **Library selector**: Pick an alternative from the user's existing
models to substitute the missing model with one click
- **URL import**: Paste a Civitai or HuggingFace URL to import a model
directly; debounced metadata fetch shows filename and file size before
confirming; type-mismatch warnings (e.g. importing a LoRA into
checkpoints directory) are surfaced with an "Import Anyway" option
- **Upgrade prompt**: In cloud environment, free-tier subscribers are
shown an upgrade modal when attempting URL import
- Separate "Import Not Supported" section for custom-node models that
cannot be auto-resolved
- Status card with live download progress, completion, failure, and
category-mismatch states

### Canvas Integration
- Highlight nodes and widgets that reference missing models with error
indicators
- Propagate missing-model badges through subgraph containers so issues
are visible at every graph level

### Code Cleanup
- Simplify `surfacePendingWarnings` in workflowService, remove stale
widget-detected model merging logic
- Add `flattenWorkflowNodes` utility to workflowSchema for traversing
nested subgraph structures
- Extract `MissingModelUrlInput`, `MissingModelLibrarySelect`,
`MissingModelStatusCard` as focused single-responsibility components

## Testing
- Unit tests for scan pipeline (`missingModelScan.test.ts`): enrichment,
skip-installed, subgraph flattening
- Unit tests for store (`missingModelStore.test.ts`): state management,
removal helpers
- Unit tests for interactions (`useMissingModelInteractions.test.ts`):
combo select, URL input, import flow, library confirm
- Component tests for `MissingModelCard` and error grouping
(`useErrorGroups.test.ts`)
- Updated `workflowService.test.ts` and `workflowSchema.test.ts` for new
logic

## Review Focus
- Missing model scan + enrichment pipeline in `missingModelScan.ts`
- Interaction composable `useMissingModelInteractions.ts` — URL metadata
fetch, library install, upload fallback
- Store integration and canvas-level error propagation

## Screenshots 


https://github.com/user-attachments/assets/339a6d5b-93a3-43cd-98dd-0fb00681b66f



┆Issue is synchronized with this [Notion
page](https://www.notion.so/PR-9743-feat-Surface-missing-models-in-Errors-tab-Cloud-3206d73d365081678326d3a16c2165d8)
by [Unito](https://www.unito.io)
This commit is contained in:
jaeone94
2026-03-12 16:21:54 +09:00
committed by GitHub
parent 4c00d39ade
commit 2f7f3c4e56
30 changed files with 4219 additions and 129 deletions

View File

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import type {
ComfyWorkflowJSON,
NodeId
} from '@/platform/workflow/validation/schemas/workflowSchema'
import { flattenWorkflowNodes } from '@/platform/workflow/validation/schemas/workflowSchema'
import type {
MissingModelCandidate,
MissingModelViewModel,
EmbeddedModelWithSource
} from './types'
import { getAssetFilename } from '@/platform/assets/utils/assetMetadataUtils'
import type { AssetItem } from '@/platform/assets/schemas/assetSchema'
import { getSelectedModelsMetadata } from '@/workbench/utils/modelMetadataUtil'
import type { LGraph } from '@/lib/litegraph/src/LGraph'
import type {
IAssetWidget,
IBaseWidget,
IComboWidget
} from '@/lib/litegraph/src/types/widgets'
import {
collectAllNodes,
getExecutionIdByNode
} from '@/utils/graphTraversalUtil'
function isComboWidget(widget: IBaseWidget): widget is IComboWidget {
return widget.type === 'combo'
}
function isAssetWidget(widget: IBaseWidget): widget is IAssetWidget {
return widget.type === 'asset'
}
export const MODEL_FILE_EXTENSIONS = new Set([
'.safetensors',
'.ckpt',
'.pt',
'.pth',
'.bin',
'.sft',
'.onnx',
'.gguf'
])
export function isModelFileName(name: string): boolean {
const lower = name.toLowerCase()
for (const ext of MODEL_FILE_EXTENSIONS) {
if (lower.endsWith(ext)) return true
}
return false
}
function resolveComboOptions(widget: IComboWidget): string[] {
const values = widget.options.values
if (!values) return []
if (typeof values === 'function') return values(widget)
if (Array.isArray(values)) return values
return Object.keys(values)
}
/**
* Scan COMBO and asset widgets on configured graph nodes for model-like values.
* Must be called after `graph.configure()` so widget name/value mappings are accurate.
*
* Non-asset-supported nodes: `isMissing` resolved immediately via widget options.
* Asset-supported nodes: `isMissing` left `undefined` for async verification.
*/
export function scanAllModelCandidates(
rootGraph: LGraph,
isAssetSupported: (nodeType: string, widgetName: string) => boolean,
getDirectory?: (nodeType: string) => string | undefined
): MissingModelCandidate[] {
if (!rootGraph) return []
const allNodes = collectAllNodes(rootGraph)
const candidates: MissingModelCandidate[] = []
for (const node of allNodes) {
if (!node.widgets?.length) continue
const executionId = getExecutionIdByNode(rootGraph, node)
if (!executionId) continue
for (const widget of node.widgets) {
let candidate: MissingModelCandidate | null = null
if (isAssetWidget(widget)) {
candidate = scanAssetWidget(node, widget, executionId, getDirectory)
} else if (isComboWidget(widget)) {
candidate = scanComboWidget(
node,
widget,
executionId,
isAssetSupported,
getDirectory
)
}
if (candidate) candidates.push(candidate)
}
}
return candidates
}
function scanAssetWidget(
node: { type: string },
widget: IAssetWidget,
executionId: string,
getDirectory: ((nodeType: string) => string | undefined) | undefined
): MissingModelCandidate | null {
const value = widget.value
if (!value.trim()) return null
if (!isModelFileName(value)) return null
return {
nodeId: executionId as NodeId,
nodeType: node.type,
widgetName: widget.name,
isAssetSupported: true,
name: value,
directory: getDirectory?.(node.type),
isMissing: undefined
}
}
function scanComboWidget(
node: { type: string },
widget: IComboWidget,
executionId: string,
isAssetSupported: (nodeType: string, widgetName: string) => boolean,
getDirectory: ((nodeType: string) => string | undefined) | undefined
): MissingModelCandidate | null {
const value = widget.value
if (typeof value !== 'string' || !value.trim()) return null
if (!isModelFileName(value)) return null
const nodeIsAssetSupported = isAssetSupported(node.type, widget.name)
const options = resolveComboOptions(widget)
const inOptions = options.includes(value)
return {
nodeId: executionId as NodeId,
nodeType: node.type,
widgetName: widget.name,
isAssetSupported: nodeIsAssetSupported,
name: value,
directory: getDirectory?.(node.type),
isMissing: nodeIsAssetSupported ? undefined : !inOptions
}
}
export async function enrichWithEmbeddedMetadata(
candidates: readonly MissingModelCandidate[],
graphData: ComfyWorkflowJSON,
checkModelInstalled: (name: string, directory: string) => Promise<boolean>,
isAssetSupported?: (nodeType: string, widgetName: string) => boolean
): Promise<MissingModelCandidate[]> {
const allNodes = flattenWorkflowNodes(graphData)
const embeddedModels = collectEmbeddedModelsWithSource(allNodes, graphData)
const enriched = candidates.map((c) => ({ ...c }))
const candidatesByKey = new Map<string, MissingModelCandidate[]>()
for (const c of enriched) {
const dirKey = `${c.name}::${c.directory ?? ''}`
const dirList = candidatesByKey.get(dirKey)
if (dirList) dirList.push(c)
else candidatesByKey.set(dirKey, [c])
const nameKey = c.name
const nameList = candidatesByKey.get(nameKey)
if (nameList) nameList.push(c)
else candidatesByKey.set(nameKey, [c])
}
const deduped: EmbeddedModelWithSource[] = []
const enrichedKeys = new Set<string>()
for (const model of embeddedModels) {
const dedupeKey = `${model.name}::${model.directory}`
if (enrichedKeys.has(dedupeKey)) continue
enrichedKeys.add(dedupeKey)
deduped.push(model)
}
const unmatched: EmbeddedModelWithSource[] = []
for (const model of deduped) {
const dirKey = `${model.name}::${model.directory}`
const exact = candidatesByKey.get(dirKey)
const fallback = candidatesByKey.get(model.name)
const existing = exact?.length ? exact : fallback
if (existing) {
for (const c of existing) {
if (c.directory && c.directory !== model.directory) continue
c.directory ??= model.directory
c.url ??= model.url
c.hash ??= model.hash
c.hashType ??= model.hash_type
}
} else {
unmatched.push(model)
}
}
const settled = await Promise.allSettled(
unmatched.map(async (model) => {
const installed = await checkModelInstalled(model.name, model.directory)
if (installed) return null
const nodeIsAssetSupported = isAssetSupported
? isAssetSupported(model.sourceNodeType, model.sourceWidgetName)
: false
return {
nodeId: model.sourceNodeId,
nodeType: model.sourceNodeType,
widgetName: model.sourceWidgetName,
isAssetSupported: nodeIsAssetSupported,
name: model.name,
directory: model.directory,
url: model.url,
hash: model.hash,
hashType: model.hash_type,
isMissing: nodeIsAssetSupported ? undefined : true
} satisfies MissingModelCandidate
})
)
for (const r of settled) {
if (r.status === 'rejected') {
console.warn(
'[Missing Model Pipeline] checkModelInstalled failed:',
r.reason
)
continue
}
if (r.value) enriched.push(r.value)
}
return enriched
}
function collectEmbeddedModelsWithSource(
allNodes: ReturnType<typeof flattenWorkflowNodes>,
graphData: ComfyWorkflowJSON
): EmbeddedModelWithSource[] {
const result: EmbeddedModelWithSource[] = []
for (const node of allNodes) {
const selected = getSelectedModelsMetadata(
node as Parameters<typeof getSelectedModelsMetadata>[0]
)
if (!selected?.length) continue
for (const model of selected) {
result.push({
...model,
sourceNodeId: node.id,
sourceNodeType: node.type,
sourceWidgetName: findWidgetNameForModel(node, model.name)
})
}
}
// Workflow-level model entries have no originating node; sourceNodeId
// remains undefined and empty-string node type/widget are handled by
// groupCandidatesByName (no nodeId → no referencing node entry).
if (graphData.models?.length) {
for (const model of graphData.models) {
result.push({
...model,
sourceNodeType: '',
sourceWidgetName: ''
})
}
}
return result
}
function findWidgetNameForModel(
node: ReturnType<typeof flattenWorkflowNodes>[number],
modelName: string
): string {
if (Array.isArray(node.widgets_values) || !node.widgets_values) return ''
const wv = node.widgets_values as Record<string, unknown>
for (const [key, val] of Object.entries(wv)) {
if (val === modelName) return key
}
return ''
}
interface AssetVerifier {
updateModelsForNodeType: (nodeType: string) => Promise<void>
getAssets: (nodeType: string) => AssetItem[] | undefined
}
export async function verifyAssetSupportedCandidates(
candidates: MissingModelCandidate[],
signal?: AbortSignal,
assetsStore?: AssetVerifier
): Promise<void> {
if (signal?.aborted) return
const pendingNodeTypes = new Set<string>()
for (const c of candidates) {
if (c.isAssetSupported && c.isMissing === undefined) {
pendingNodeTypes.add(c.nodeType)
}
}
if (pendingNodeTypes.size === 0) return
const store =
assetsStore ?? (await import('@/stores/assetsStore')).useAssetsStore()
const failedNodeTypes = new Set<string>()
await Promise.allSettled(
[...pendingNodeTypes].map(async (nodeType) => {
if (signal?.aborted) return
try {
await store.updateModelsForNodeType(nodeType)
} catch (err) {
failedNodeTypes.add(nodeType)
console.warn(
`[Missing Model Pipeline] Failed to load assets for ${nodeType}:`,
err
)
}
})
)
if (signal?.aborted) return
for (const c of candidates) {
if (!c.isAssetSupported || c.isMissing !== undefined) continue
if (failedNodeTypes.has(c.nodeType)) continue
const assets = store.getAssets(c.nodeType) ?? []
c.isMissing = !isAssetInstalled(c, assets)
}
}
function normalizePath(path: string): string {
return path.replace(/\\/g, '/')
}
function isAssetInstalled(
candidate: MissingModelCandidate,
assets: AssetItem[]
): boolean {
if (candidate.hash && candidate.hashType) {
const candidateHash = `${candidate.hashType}:${candidate.hash}`
if (assets.some((a) => a.asset_hash === candidateHash)) return true
}
const normalizedName = normalizePath(candidate.name)
return assets.some((a) => {
const f = normalizePath(getAssetFilename(a))
return f === normalizedName || f.endsWith('/' + normalizedName)
})
}
export function groupCandidatesByName(
candidates: MissingModelCandidate[]
): MissingModelViewModel[] {
const map = new Map<string, MissingModelViewModel>()
for (const c of candidates) {
const existing = map.get(c.name)
if (existing) {
if (c.nodeId) {
existing.referencingNodes.push({
nodeId: c.nodeId,
widgetName: c.widgetName
})
}
} else {
map.set(c.name, {
name: c.name,
representative: c,
referencingNodes: c.nodeId
? [{ nodeId: c.nodeId, widgetName: c.widgetName }]
: []
})
}
}
return Array.from(map.values())
}