feat: runnersok

This commit is contained in:
2026-03-29 01:22:33 +01:00
parent 26b395272d
commit 9607ff3478
24 changed files with 1613 additions and 221 deletions

6
.gitignore vendored
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@@ -40,6 +40,12 @@ Thumbs.db
.cache
.parcel-cache
# SQLite data
data/
*.db
*.db-wal
*.db-shm
# Docker (optional local overrides)
docker-compose.override.yml
docker-compose.override.yaml

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@@ -1,108 +0,0 @@
# Performance Improvements Plan
## 1. Current State
The core rendering and state management architecture is already well-structured for performance:
- **Command/reducer store** — all mutations go through a pure reducer; individual selectors can prevent unnecessary re-renders.
- **Delta-based undo/redo** — only diffs are stored, not full graph snapshots (max 100 entries).
- **Plugin node registry** — node types are loaded once at app init, not dynamically on each render.
- **Streaming AI responses** — `POST /api/agent/stream` uses SSE so the UI updates incrementally.
The sections below identify remaining bottlenecks and concrete next steps.
---
## 2. Known Bottlenecks
| # | Issue | Location | Impact | Root Cause |
| --- | --- | --- | --- | --- |
| 1 | Unguarded re-renders on canvas | `CanvasPage.tsx` | Frame drops on large graphs | Components not subscribed to granular store slices |
| 2 | Nunjucks template resolution on every render | `rendering.ts` resolve step | Slow Config node updates | No memoization of template output keyed to input hash |
| 3 | Kroki SVG requests not deduplicated | `rendering.ts` render step | Redundant network calls | No in-flight request deduplication or client-side cache |
| 4 | Sidebar tree renders all items | `KosmosPage` recollection tree | Scrolling lag with many workspaces | No list virtualization |
| 5 | Backend cache not wired to agent routes | `agentRoutes.ts` | Repeated identical LLM calls | `InMemoryCache` and `rateLimiter` exist but are unused |
| 6 | Full graph serialized to localStorage on every change | `useGraphStateWithHistory` | Storage I/O on every keypress | No debounce on the persistence write |
| 7 | Initial bundle size | Vite build | Slow first load | Heavy deps (BlockNote, React Flow, Nunjucks) loaded eagerly |
---
## 3. Recommended Improvements
### 3.1 Granular Store Subscriptions
Zustand supports slice-level subscriptions. Node components should select only their own data slice:
```ts
// Instead of subscribing to the entire graph:
const node = useCanvasStore(s => s.graph.nodes.find(n => n.id === id))
```
This prevents all nodes from re-rendering when a single node changes.
### 3.2 Memoize Template Resolution
Cache the Nunjucks resolution output keyed to a hash of the template source plus variable inputs. Invalidate only when those inputs change:
```ts
const resolved = useMemo(
() => resolveTemplate(template, variables),
[templateHash, variableHash]
)
```
### 3.3 Deduplicate Kroki Requests
Add a simple in-flight map in the render step: if a request for the same PlantUML source is already pending, reuse its promise. Cache successful responses keyed to the source string with a short TTL (e.g. 5 minutes).
### 3.4 Wire Backend Cache and Rate Limiter
`InMemoryCache` and `rateLimiter` middleware are implemented in `backend/src/`. Connect them to `agentRoutes.ts`:
1. Add cache lookup before calling the AI service.
2. Store the response on cache miss.
3. Apply rate limiting per IP to prevent abuse.
### 3.5 Debounce localStorage Writes
Wrap the graph persistence call in a debounce (e.g., 300 ms) to avoid a write on every keystroke or node drag. The delta-based history already computes minimal diffs; the bottleneck is the frequency of writes.
### 3.6 Virtualize the Sidebar Tree
Integrate `react-arborist` (already installed) with virtualization enabled for the recollection sidebar when item count exceeds a threshold (~50).
### 3.7 Code Split Heavy Routes
Add lazy imports for the three heavy route components so the initial bundle only loads what the user navigates to:
```ts
const FluxRoute = lazy(() => import('./app/recollections/flux/FluxRoute'))
const LogosPage = lazy(() => import('./app/recollections/logos/LogosPage'))
const KatalogosPage = lazy(() => import('./app/recollections/katalogos/KatalogosPage'))
```
### 3.8 Enable Brotli Compression in Nginx
Add brotli/gzip compression to `frontend/nginx.conf` for JS, CSS, and SVG assets. This can cut transfer size by 6070% for the JS bundle.
---
## 4. Success Metrics
| Metric | Current (estimated) | Target |
| --- | --- | --- |
| Frame time on 50-node canvas | ~16 ms | < 10 ms |
| Initial JS bundle (gzipped) | ~800 KB | < 600 KB |
| Repeated identical LLM calls | uncached | 0 network round-trips |
| localStorage write frequency | every change | debounced 300 ms |
---
## 5. Contribution Path
1. Read [ARCHITECTURE.md](ARCHITECTURE.md) to understand the module you're optimizing.
2. Pick one item from section 2.
3. Add a Vitest benchmark (`performance.now()` before/after) alongside your change.
4. Submit a PR with the benchmark results in the description and update this file's "Current" column.
*This plan is a living document; update the metrics table when improvements land.*

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"node_modules/qs": {
"version": "6.14.2",
"resolved": "https://registry.npmjs.org/qs/-/qs-6.14.2.tgz",
@@ -1470,6 +1752,21 @@
"node": ">= 0.8"
}
},
"node_modules/rc": {
"version": "1.2.8",
"resolved": "https://registry.npmjs.org/rc/-/rc-1.2.8.tgz",
"integrity": "sha512-y3bGgqKj3QBdxLbLkomlohkvsA8gdAiUQlSBJnBhfn+BPxg4bc62d8TcBW15wavDfgexCgccckhcZvywyQYPOw==",
"license": "(BSD-2-Clause OR MIT OR Apache-2.0)",
"dependencies": {
"deep-extend": "^0.6.0",
"ini": "~1.3.0",
"minimist": "^1.2.0",
"strip-json-comments": "~2.0.1"
},
"bin": {
"rc": "cli.js"
}
},
"node_modules/react": {
"version": "19.2.4",
"resolved": "https://registry.npmjs.org/react/-/react-19.2.4.tgz",
@@ -1480,6 +1777,20 @@
"node": ">=0.10.0"
}
},
"node_modules/readable-stream": {
"version": "3.6.2",
"resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.2.tgz",
"integrity": "sha512-9u/sniCrY3D5WdsERHzHE4G2YCXqoG5FTHUiCC4SIbr6XcLZBY05ya9EKjYek9O5xOAwjGq+1JdGBAS7Q9ScoA==",
"license": "MIT",
"dependencies": {
"inherits": "^2.0.3",
"string_decoder": "^1.1.1",
"util-deprecate": "^1.0.1"
},
"engines": {
"node": ">= 6"
}
},
"node_modules/resolve-pkg-maps": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/resolve-pkg-maps/-/resolve-pkg-maps-1.0.0.tgz",
@@ -1522,6 +1833,18 @@
"integrity": "sha512-6aU+Rwsezw7VR8/nyvKTx8QpWH9FrcYiXXlqC4z5d5XQBDRqtbfsRjnwGyqbi3gddNtWHuEk9OANUotL26qKUw==",
"license": "BSD-3-Clause"
},
"node_modules/semver": {
"version": "7.7.4",
"resolved": "https://registry.npmjs.org/semver/-/semver-7.7.4.tgz",
"integrity": "sha512-vFKC2IEtQnVhpT78h1Yp8wzwrf8CM+MzKMHGJZfBtzhZNycRFnXsHk6E5TxIkkMsgNS7mdX3AGB7x2QM2di4lA==",
"license": "ISC",
"bin": {
"semver": "bin/semver.js"
},
"engines": {
"node": ">=10"
}
},
"node_modules/send": {
"version": "0.19.2",
"resolved": "https://registry.npmjs.org/send/-/send-0.19.2.tgz",
@@ -1645,6 +1968,51 @@
"url": "https://github.com/sponsors/ljharb"
}
},
"node_modules/simple-concat": {
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/simple-concat/-/simple-concat-1.0.1.tgz",
"integrity": "sha512-cSFtAPtRhljv69IK0hTVZQ+OfE9nePi/rtJmw5UjHeVyVroEqJXP1sFztKUy1qU+xvz3u/sfYJLa947b7nAN2Q==",
"funding": [
{
"type": "github",
"url": "https://github.com/sponsors/feross"
},
{
"type": "patreon",
"url": "https://www.patreon.com/feross"
},
{
"type": "consulting",
"url": "https://feross.org/support"
}
],
"license": "MIT"
},
"node_modules/simple-get": {
"version": "4.0.1",
"resolved": "https://registry.npmjs.org/simple-get/-/simple-get-4.0.1.tgz",
"integrity": "sha512-brv7p5WgH0jmQJr1ZDDfKDOSeWWg+OVypG99A/5vYGPqJ6pxiaHLy8nxtFjBA7oMa01ebA9gfh1uMCFqOuXxvA==",
"funding": [
{
"type": "github",
"url": "https://github.com/sponsors/feross"
},
{
"type": "patreon",
"url": "https://www.patreon.com/feross"
},
{
"type": "consulting",
"url": "https://feross.org/support"
}
],
"license": "MIT",
"dependencies": {
"decompress-response": "^6.0.0",
"once": "^1.3.1",
"simple-concat": "^1.0.0"
}
},
"node_modules/statuses": {
"version": "2.0.2",
"resolved": "https://registry.npmjs.org/statuses/-/statuses-2.0.2.tgz",
@@ -1654,6 +2022,24 @@
"node": ">= 0.8"
}
},
"node_modules/string_decoder": {
"version": "1.3.0",
"resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.3.0.tgz",
"integrity": "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA==",
"license": "MIT",
"dependencies": {
"safe-buffer": "~5.2.0"
}
},
"node_modules/strip-json-comments": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/strip-json-comments/-/strip-json-comments-2.0.1.tgz",
"integrity": "sha512-4gB8na07fecVVkOI6Rs4e7T6NOTki5EmL7TUduTs6bu3EdnSycntVJ4re8kgZA+wx9IueI2Y11bfbgwtzuE0KQ==",
"license": "MIT",
"engines": {
"node": ">=0.10.0"
}
},
"node_modules/swr": {
"version": "2.4.1",
"resolved": "https://registry.npmjs.org/swr/-/swr-2.4.1.tgz",
@@ -1667,6 +2053,34 @@
"react": "^16.11.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
}
},
"node_modules/tar-fs": {
"version": "2.1.4",
"resolved": "https://registry.npmjs.org/tar-fs/-/tar-fs-2.1.4.tgz",
"integrity": "sha512-mDAjwmZdh7LTT6pNleZ05Yt65HC3E+NiQzl672vQG38jIrehtJk/J3mNwIg+vShQPcLF/LV7CMnDW6vjj6sfYQ==",
"license": "MIT",
"dependencies": {
"chownr": "^1.1.1",
"mkdirp-classic": "^0.5.2",
"pump": "^3.0.0",
"tar-stream": "^2.1.4"
}
},
"node_modules/tar-stream": {
"version": "2.2.0",
"resolved": "https://registry.npmjs.org/tar-stream/-/tar-stream-2.2.0.tgz",
"integrity": "sha512-ujeqbceABgwMZxEJnk2HDY2DlnUZ+9oEcb1KzTVfYHio0UE6dG71n60d8D2I4qNvleWrrXpmjpt7vZeF1LnMZQ==",
"license": "MIT",
"dependencies": {
"bl": "^4.0.3",
"end-of-stream": "^1.4.1",
"fs-constants": "^1.0.0",
"inherits": "^2.0.3",
"readable-stream": "^3.1.1"
},
"engines": {
"node": ">=6"
}
},
"node_modules/throttleit": {
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/throttleit/-/throttleit-2.1.0.tgz",
@@ -1708,6 +2122,18 @@
"fsevents": "~2.3.3"
}
},
"node_modules/tunnel-agent": {
"version": "0.6.0",
"resolved": "https://registry.npmjs.org/tunnel-agent/-/tunnel-agent-0.6.0.tgz",
"integrity": "sha512-McnNiV1l8RYeY8tBgEpuodCC1mLUdbSN+CYBL7kJsJNInOP8UjDDEwdk6Mw60vdLLrr5NHKZhMAOSrR2NZuQ+w==",
"license": "Apache-2.0",
"dependencies": {
"safe-buffer": "^5.0.1"
},
"engines": {
"node": "*"
}
},
"node_modules/type-is": {
"version": "1.6.18",
"resolved": "https://registry.npmjs.org/type-is/-/type-is-1.6.18.tgz",
@@ -1760,6 +2186,12 @@
"react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
}
},
"node_modules/util-deprecate": {
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
"integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==",
"license": "MIT"
},
"node_modules/utils-merge": {
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/utils-merge/-/utils-merge-1.0.1.tgz",
@@ -1778,6 +2210,12 @@
"node": ">= 0.8"
}
},
"node_modules/wrappy": {
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
"integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
"license": "ISC"
},
"node_modules/zod": {
"version": "3.25.76",
"resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz",

View File

@@ -14,12 +14,14 @@
"node": ">=20"
},
"dependencies": {
"ai": "^4.0.0",
"@ai-sdk/openai": "^1.0.0",
"ai": "^4.0.0",
"better-sqlite3": "^12.8.0",
"cors": "^2.8.5",
"express": "^4.21.0"
},
"devDependencies": {
"@types/better-sqlite3": "^7.6.13",
"@types/cors": "^2.8.17",
"@types/express": "^5.0.0",
"@types/node": "^22.0.0",

View File

@@ -0,0 +1,69 @@
/**
* SQLite database connection singleton.
* Uses better-sqlite3 for synchronous, fast access.
* DB_PATH env var controls location; defaults to ./data/zui.db
*/
import Database from 'better-sqlite3'
import path from 'node:path'
import fs from 'node:fs'
const DB_PATH = process.env.DB_PATH || path.resolve('data', 'zui.db')
let db: Database.Database | null = null
export function getDb(): Database.Database {
if (db) return db
// Ensure parent directory exists
const dir = path.dirname(DB_PATH)
if (!fs.existsSync(dir)) fs.mkdirSync(dir, { recursive: true })
db = new Database(DB_PATH)
db.pragma('journal_mode = WAL')
db.pragma('foreign_keys = ON')
initSchema(db)
return db
}
function initSchema(db: Database.Database): void {
db.exec(`
CREATE TABLE IF NOT EXISTS runs (
id TEXT PRIMARY KEY,
recollectionId TEXT NOT NULL,
status TEXT NOT NULL DEFAULT 'pending',
graphSnapshot TEXT NOT NULL,
createdAt TEXT NOT NULL DEFAULT (datetime('now')),
updatedAt TEXT NOT NULL DEFAULT (datetime('now')),
error TEXT
);
CREATE INDEX IF NOT EXISTS idx_runs_recollection
ON runs(recollectionId, createdAt DESC);
CREATE TABLE IF NOT EXISTS run_steps (
id TEXT PRIMARY KEY,
runId TEXT NOT NULL REFERENCES runs(id) ON DELETE CASCADE,
nodeId TEXT NOT NULL,
nodeType TEXT NOT NULL,
status TEXT NOT NULL DEFAULT 'pending',
input TEXT,
output TEXT,
error TEXT,
startedAt TEXT,
endedAt TEXT,
sortOrder INTEGER NOT NULL DEFAULT 0
);
CREATE INDEX IF NOT EXISTS idx_run_steps_run
ON run_steps(runId, sortOrder);
`)
}
export function closeDb(): void {
if (db) {
db.close()
db = null
}
}

View File

@@ -61,6 +61,8 @@ app.use(express.json())
// ---------------------------------------------------------------------------
import { handleAgentRequest, handleAgentStreamRequest } from './routes/agentRoutes.js'
import { handleCreateRun, handleRunStream, handleGetRun, handleListRuns } from './routes/runRoutes.js'
import { getDb } from './db/connection.js'
/** POST /api/agent - Run AI agent */
app.post('/api/agent', handleAgentRequest)
@@ -68,6 +70,22 @@ app.post('/api/agent', handleAgentRequest)
/** POST /api/agent/stream - Stream AI agent response */
app.post('/api/agent/stream', handleAgentStreamRequest)
// ---------------------------------------------------------------------------
// Run Routes
// ---------------------------------------------------------------------------
/** POST /api/runs - Create and queue a graph execution run */
app.post('/api/runs', handleCreateRun)
/** GET /api/runs/:id/stream - SSE stream of run execution events */
app.get('/api/runs/:id/stream', handleRunStream)
/** GET /api/runs/:id - Get run details with steps */
app.get('/api/runs/:id', handleGetRun)
/** GET /api/recollections/:recollectionId/runs - List runs for a recollection */
app.get('/api/recollections/:recollectionId/runs', handleListRuns)
// ---------------------------------------------------------------------------
// Health Check Endpoint
// ---------------------------------------------------------------------------
@@ -91,6 +109,9 @@ app.use((err: Error, req: express.Request, res: express.Response, next: express.
// Start Server
// ---------------------------------------------------------------------------
// Initialize database on startup
getDb()
app.listen(PORT, '0.0.0.0', () => {
console.log(`Backend listening on port ${PORT} (CORS: ${CORS_ORIGIN})`)
})

67
backend/src/models/run.ts Normal file
View File

@@ -0,0 +1,67 @@
/**
* Run and RunStep domain types for graph execution.
*/
export type RunStatus = 'pending' | 'running' | 'completed' | 'failed'
export type Run = {
id: string
recollectionId: string
status: RunStatus
graphSnapshot: string
createdAt: string
updatedAt: string
error?: string | null
}
export type RunStep = {
id: string
runId: string
nodeId: string
nodeType: string
status: RunStatus
input?: string | null
output?: string | null
error?: string | null
startedAt?: string | null
endedAt?: string | null
sortOrder: number
}
/** SSE event types for run streaming */
export type RunEventType =
| 'connected'
| 'run/started'
| 'run/completed'
| 'run/failed'
| 'step/started'
| 'step/completed'
| 'step/failed'
| 'step/chunk'
| 'ping'
export type RunEvent = {
type: RunEventType
data: Record<string, unknown>
}
/** Graph snapshot types (subset of frontend StoredGraphState) */
export type GraphNode = {
id: string
type?: string
data?: Record<string, unknown>
position?: { x: number; y: number }
[key: string]: unknown
}
export type GraphEdge = {
id: string
source: string
target: string
[key: string]: unknown
}
export type GraphSnapshot = {
nodes: GraphNode[]
edges: GraphEdge[]
}

View File

@@ -0,0 +1,62 @@
/**
* Data access layer for runs and run_steps.
*/
import { getDb } from '../db/connection.js'
import type { Run, RunStep, RunStatus } from '../models/run.js'
export function createRun(run: Run): void {
const db = getDb()
db.prepare(`
INSERT INTO runs (id, recollectionId, status, graphSnapshot, createdAt, updatedAt, error)
VALUES (@id, @recollectionId, @status, @graphSnapshot, @createdAt, @updatedAt, @error)
`).run(run)
}
export function getRun(id: string): Run | undefined {
const db = getDb()
return db.prepare('SELECT * FROM runs WHERE id = ?').get(id) as Run | undefined
}
export function updateRunStatus(id: string, status: RunStatus, error?: string): void {
const db = getDb()
db.prepare(`
UPDATE runs SET status = ?, error = ?, updatedAt = datetime('now') WHERE id = ?
`).run(status, error ?? null, id)
}
export function getRunsByRecollection(recollectionId: string, limit = 50, offset = 0): Run[] {
const db = getDb()
return db.prepare(`
SELECT * FROM runs WHERE recollectionId = ? ORDER BY createdAt DESC LIMIT ? OFFSET ?
`).all(recollectionId, limit, offset) as Run[]
}
export function createRunStep(step: RunStep): void {
const db = getDb()
db.prepare(`
INSERT INTO run_steps (id, runId, nodeId, nodeType, status, input, output, error, startedAt, endedAt, sortOrder)
VALUES (@id, @runId, @nodeId, @nodeType, @status, @input, @output, @error, @startedAt, @endedAt, @sortOrder)
`).run(step)
}
export function updateRunStep(id: string, updates: Partial<Pick<RunStep, 'status' | 'output' | 'error' | 'startedAt' | 'endedAt'>>): void {
const db = getDb()
const fields: string[] = []
const values: unknown[] = []
if (updates.status !== undefined) { fields.push('status = ?'); values.push(updates.status) }
if (updates.output !== undefined) { fields.push('output = ?'); values.push(updates.output) }
if (updates.error !== undefined) { fields.push('error = ?'); values.push(updates.error) }
if (updates.startedAt !== undefined) { fields.push('startedAt = ?'); values.push(updates.startedAt) }
if (updates.endedAt !== undefined) { fields.push('endedAt = ?'); values.push(updates.endedAt) }
if (fields.length === 0) return
values.push(id)
db.prepare(`UPDATE run_steps SET ${fields.join(', ')} WHERE id = ?`).run(...values)
}
export function getRunSteps(runId: string): RunStep[] {
const db = getDb()
return db.prepare('SELECT * FROM run_steps WHERE runId = ? ORDER BY sortOrder').all(runId) as RunStep[]
}

View File

@@ -0,0 +1,127 @@
/**
* Run routes: create runs, stream execution, list history.
*/
import crypto from 'node:crypto'
import type { Request, Response } from 'express'
import type { Run, RunEvent } from '../models/run.js'
import * as runRepo from '../repositories/runRepository.js'
import { executeRun } from '../services/graphRunnerService.js'
/**
* POST /api/runs
* Body: { recollectionId, graph: { nodes, edges } }
* Creates a new run and starts execution, returning the run ID immediately.
* Client should connect to GET /api/runs/:id/stream for live updates.
*/
export async function handleCreateRun(req: Request, res: Response): Promise<void> {
try {
const { recollectionId, graph } = req.body
if (!recollectionId || typeof recollectionId !== 'string') {
res.status(400).json({ error: 'recollectionId is required' })
return
}
if (!graph || !Array.isArray(graph.nodes) || !Array.isArray(graph.edges)) {
res.status(400).json({ error: 'graph with nodes and edges is required' })
return
}
const run: Run = {
id: crypto.randomUUID(),
recollectionId,
status: 'pending',
graphSnapshot: JSON.stringify(graph),
createdAt: new Date().toISOString(),
updatedAt: new Date().toISOString(),
error: null,
}
runRepo.createRun(run)
res.status(201).json({ id: run.id, status: run.status })
} catch (err) {
console.error('Create run error:', err)
res.status(500).json({ error: (err as Error).message ?? 'Failed to create run' })
}
}
/**
* GET /api/runs/:id/stream
* SSE endpoint that executes the run and streams events in real time.
*/
export async function handleRunStream(req: Request, res: Response): Promise<void> {
const { id } = req.params
const run = runRepo.getRun(id)
if (!run) {
res.status(404).json({ error: 'Run not found' })
return
}
if (run.status !== 'pending') {
res.status(409).json({ error: `Run already ${run.status}` })
return
}
// Set up SSE headers
res.setHeader('Content-Type', 'text/event-stream')
res.setHeader('Cache-Control', 'no-cache')
res.setHeader('Connection', 'keep-alive')
res.setHeader('X-Accel-Buffering', 'no')
res.flushHeaders()
const emit = (event: RunEvent) => {
res.write(`event: ${event.type}\ndata: ${JSON.stringify(event.data)}\n\n`)
}
emit({ type: 'connected', data: { runId: id } })
// Keepalive ping
const pingInterval = setInterval(() => {
emit({ type: 'ping', data: { timestamp: Date.now() } })
}, 15_000)
req.on('close', () => {
clearInterval(pingInterval)
})
try {
await executeRun(id, emit)
} catch (err) {
const errorMsg = err instanceof Error ? err.message : String(err)
emit({ type: 'run/failed', data: { runId: id, error: errorMsg } })
runRepo.updateRunStatus(id, 'failed', errorMsg)
} finally {
clearInterval(pingInterval)
res.end()
}
}
/**
* GET /api/runs/:id
* Returns run details with steps.
*/
export async function handleGetRun(req: Request, res: Response): Promise<void> {
const { id } = req.params
const run = runRepo.getRun(id)
if (!run) {
res.status(404).json({ error: 'Run not found' })
return
}
const steps = runRepo.getRunSteps(id)
res.json({ ...run, steps })
}
/**
* GET /api/recollections/:recollectionId/runs
* Returns run history for a recollection.
*/
export async function handleListRuns(req: Request, res: Response): Promise<void> {
const { recollectionId } = req.params
const limit = Math.min(Number(req.query.limit) || 50, 200)
const offset = Number(req.query.offset) || 0
const runs = runRepo.getRunsByRecollection(recollectionId, limit, offset)
res.json({ runs })
}

View File

@@ -0,0 +1,237 @@
/**
* Graph execution engine.
* Topologically sorts graph nodes (Kahn's algorithm) and executes them in order.
* Emits SSE events via a callback for real-time streaming to clients.
*/
import crypto from 'node:crypto'
import type { GraphSnapshot, GraphNode, GraphEdge, RunEvent, RunStep, RunStatus } from '../models/run.js'
import * as runRepo from '../repositories/runRepository.js'
import { buildAgentRequest } from './agentService.js'
type EmitFn = (event: RunEvent) => void
/**
* Topological sort using Kahn's algorithm.
* Returns ordered node IDs or throws on cycle detection.
*/
function topologicalSort(nodes: GraphNode[], edges: GraphEdge[]): string[] {
const nodeIds = new Set(nodes.map((n) => n.id))
const inDegree = new Map<string, number>()
const adjacency = new Map<string, string[]>()
for (const id of nodeIds) {
inDegree.set(id, 0)
adjacency.set(id, [])
}
for (const edge of edges) {
if (!nodeIds.has(edge.source) || !nodeIds.has(edge.target)) continue
adjacency.get(edge.source)!.push(edge.target)
inDegree.set(edge.target, (inDegree.get(edge.target) ?? 0) + 1)
}
const queue: string[] = []
for (const [id, deg] of inDegree) {
if (deg === 0) queue.push(id)
}
const sorted: string[] = []
while (queue.length > 0) {
const current = queue.shift()!
sorted.push(current)
for (const neighbor of adjacency.get(current) ?? []) {
const newDeg = (inDegree.get(neighbor) ?? 1) - 1
inDegree.set(neighbor, newDeg)
if (newDeg === 0) queue.push(neighbor)
}
}
if (sorted.length !== nodeIds.size) {
throw new Error('Cycle detected in graph')
}
return sorted
}
/** Node types that produce output when executed */
const EXECUTABLE_TYPES = new Set(['agent', 'config', 'render'])
/** Node types that are pure inputs (no execution needed) */
const INPUT_TYPES = new Set(['variable', 'data', 'function'])
/**
* Execute a single node based on its type.
* Returns the output string or null for input-only nodes.
*/
async function executeNode(
node: GraphNode,
_edges: GraphEdge[],
_nodes: GraphNode[],
_outputs: Map<string, string>,
emit: EmitFn
): Promise<string | null> {
const nodeType = node.type ?? 'unknown'
if (INPUT_TYPES.has(nodeType)) {
// Input nodes: extract their value as output
const data = node.data ?? {}
if (nodeType === 'variable') {
const v = data.value
return v === undefined || v === null ? '' : String(v)
}
if (nodeType === 'data') {
const rows = (data.rows as Record<string, string>[]) ?? []
return JSON.stringify(rows)
}
if (nodeType === 'function') {
return (data.body as string) ?? ''
}
return null
}
if (nodeType === 'agent') {
// Agent nodes: call the AI service
const configContents: string[] = []
for (const edge of _edges) {
if (edge.target !== node.id) continue
const output = _outputs.get(edge.source)
if (output) configContents.push(output)
}
const prompt = configContents.join('\n\n---\n\n') || 'No prompt provided.'
const connection = (node.data?.connection as Record<string, unknown>) ?? undefined
const built = buildAgentRequest({
prompt,
connection: connection as any,
})
if ('error' in built) {
throw new Error(built.error)
}
// Use streaming for agent nodes
const { streamText } = await import('ai')
const result = streamText({
model: built.openai as any,
prompt: built.fullPrompt,
})
let fullText = ''
for await (const chunk of (await result).textStream) {
fullText += chunk
emit({
type: 'step/chunk',
data: { nodeId: node.id, chunk },
})
}
return fullText
}
if (nodeType === 'config') {
// Config nodes: return their template content as-is during execution
// (Nunjucks resolution happens on the frontend; backend treats as passthrough)
const content = (node.data?.content as string) ?? ''
return content
}
if (nodeType === 'render') {
// Render nodes: collect input from connected source nodes
const inputs: string[] = []
for (const edge of _edges) {
if (edge.target !== node.id) continue
const output = _outputs.get(edge.source)
if (output) inputs.push(output)
}
return inputs.join('\n\n')
}
return null
}
/**
* Run the full graph execution for a given run ID.
* Emits SSE events for each step.
*/
export async function executeRun(runId: string, emit: EmitFn): Promise<void> {
const run = runRepo.getRun(runId)
if (!run) throw new Error(`Run not found: ${runId}`)
let graph: GraphSnapshot
try {
graph = JSON.parse(run.graphSnapshot) as GraphSnapshot
} catch {
throw new Error('Invalid graph snapshot')
}
const { nodes, edges } = graph
// Sort nodes topologically
const sortedIds = topologicalSort(nodes, edges)
const nodeMap = new Map(nodes.map((n) => [n.id, n]))
const outputs = new Map<string, string>()
// Create run_steps records
const steps: RunStep[] = sortedIds.map((nodeId, i) => {
const node = nodeMap.get(nodeId)!
return {
id: crypto.randomUUID(),
runId,
nodeId,
nodeType: node.type ?? 'unknown',
status: 'pending' as RunStatus,
input: null,
output: null,
error: null,
startedAt: null,
endedAt: null,
sortOrder: i,
}
})
for (const step of steps) {
runRepo.createRunStep(step)
}
// Mark run as running
runRepo.updateRunStatus(runId, 'running')
const stepNodeIds = steps.map((s) => s.nodeId)
emit({ type: 'run/started', data: { runId, totalSteps: steps.length, nodeIds: stepNodeIds } })
// Execute each node in order
for (const step of steps) {
const node = nodeMap.get(step.nodeId)
if (!node) continue
const now = new Date().toISOString()
runRepo.updateRunStep(step.id, { status: 'running', startedAt: now })
emit({ type: 'step/started', data: { stepId: step.id, nodeId: step.nodeId, nodeType: step.nodeType } })
try {
const output = await executeNode(node, edges, nodes, outputs, emit)
if (output !== null) {
outputs.set(node.id, output)
}
const endedAt = new Date().toISOString()
runRepo.updateRunStep(step.id, { status: 'completed', output: output ?? '', endedAt })
emit({ type: 'step/completed', data: { stepId: step.id, nodeId: step.nodeId, output: output?.slice(0, 500) ?? '' } })
} catch (err) {
const endedAt = new Date().toISOString()
const errorMsg = err instanceof Error ? err.message : String(err)
runRepo.updateRunStep(step.id, { status: 'failed', error: errorMsg, endedAt })
emit({ type: 'step/failed', data: { stepId: step.id, nodeId: step.nodeId, error: errorMsg } })
// Fail the entire run
runRepo.updateRunStatus(runId, 'failed', errorMsg)
emit({ type: 'run/failed', data: { runId, error: errorMsg } })
return
}
}
// Mark run as completed
runRepo.updateRunStatus(runId, 'completed')
emit({ type: 'run/completed', data: { runId } })
}

View File

@@ -68,6 +68,8 @@ import {
import type { AppNode, AppEdge } from '@/lib/graph/nodeTypes'
import { toast } from 'sonner'
import { RECOLLECTION_VERSION } from '@/app/recollections/state/recollectionGraphStorage'
import { useRunStream, createAndStreamRun } from '@/hooks/useRunStream'
import { useRunStore } from '@/lib/graph/runStore'
const SNAP_GRID: [number, number] = [15, 15]
const DUPLICATE_OFFSET = { x: 30, y: 30 }
@@ -257,6 +259,33 @@ export function CanvasPage({ recollectionId, focusNodeId }: CanvasPageProps) {
const connectionPath = useCanvasConnectionPathFromStore()
// --- Run execution ---
const { connectToRun } = useRunStream()
const runStatus = useRunStore((s) => s.status)
const resetRun = useRunStore((s) => s.reset)
const markDirty = useRunStore((s) => s.markDirty)
// Mark run state as dirty when graph structure or data changes
const prevNodesLenRef = useRef(nodes.length)
const prevEdgesLenRef = useRef(edges.length)
useEffect(() => {
// Skip the initial render
if (prevNodesLenRef.current === nodes.length && prevEdgesLenRef.current === edges.length) return
prevNodesLenRef.current = nodes.length
prevEdgesLenRef.current = edges.length
markDirty()
}, [nodes.length, edges.length, markDirty])
const handleRun = useCallback(() => {
if (!recollectionId) return
if (runStatus === 'running' || runStatus === 'pending') return
// Reset previous run state, save, then run
resetRun()
save()
createAndStreamRun(recollectionId, { nodes, edges }, connectToRun).catch((err) => {
toast.error(`Run failed: ${err.message}`)
})
}, [recollectionId, nodes, edges, connectToRun, save, runStatus, resetRun])
const nodesRef = useRef(nodes)
nodesRef.current = nodes
const graphRef = useRef<{ nodes: AppNode[]; edges: AppEdge[] }>({ nodes: [], edges: [] })
@@ -464,6 +493,7 @@ export function CanvasPage({ recollectionId, focusNodeId }: CanvasPageProps) {
canDuplicate: selectedNodes.length > 0,
canCopy: selectedNodes.length === 1,
onFitView: () => flowActionsRef.current?.fitView?.(),
onRun: recollectionId ? handleRun : undefined,
}
setFluxSlot(slot)
return () => setFluxSlot(null)
@@ -481,6 +511,7 @@ export function CanvasPage({ recollectionId, focusNodeId }: CanvasPageProps) {
handleCopy,
handlePaste,
selectedNodes.length,
handleRun,
])
const graphContextValue = useMemo(

View File

@@ -3,17 +3,19 @@
* Shows live \"Artifacts\" from Flux rendering nodes in a card grid.
*/
import React, { useMemo } from 'react'
import React, { useMemo, useState } from 'react'
import { useNavigate, useParams } from 'react-router-dom'
import { usePlatform } from '@/app/kosmos/KosmosContext'
import { getRenderOutputCache, formatTimeSinceLastUpdate } from '../state/recollectionStore'
import { Button } from '@/components/ui/button'
import { RunsTab } from './RunsTab'
export function KatalogosPage() {
const { recollectionId } = useParams<{ recollectionId: string }>()
const { recollections } = usePlatform()
const navigate = useNavigate()
const [activeTab, setActiveTab] = useState<'artifacts' | 'runs'>('artifacts')
const recollection = recollectionId ? recollections.find((p) => p.id === recollectionId) : null
const title = recollection?.name ?? 'Untitled'
@@ -33,10 +35,25 @@ export function KatalogosPage() {
<h1 className="mb-2 truncate font-serif text-2xl font-semibold tracking-tight text-foreground">
{title}
</h1>
<p className="mb-6 text-sm text-muted-foreground">
Katalogos · Live artifacts produced by Flux rendering nodes for this recollection.
</p>
{artifacts.length === 0 ? (
<div className="mb-4 flex gap-1 border-b border-border">
<button
type="button"
onClick={() => setActiveTab('artifacts')}
className={`px-3 py-1.5 text-sm font-medium transition-colors ${activeTab === 'artifacts' ? 'border-b-2 border-primary text-foreground' : 'text-muted-foreground hover:text-foreground'}`}
>
Artifacts
</button>
<button
type="button"
onClick={() => setActiveTab('runs')}
className={`px-3 py-1.5 text-sm font-medium transition-colors ${activeTab === 'runs' ? 'border-b-2 border-primary text-foreground' : 'text-muted-foreground hover:text-foreground'}`}
>
Runs
</button>
</div>
{activeTab === 'runs' ? (
<RunsTab />
) : artifacts.length === 0 ? (
<div className="rounded-lg border border-dashed border-muted-foreground/30 bg-muted/10 p-4 text-sm text-muted-foreground">
No artifacts yet. In Flux, run a graph with a rendering node; its output will be cached as an artifact and
appear here, as well as in Logos blocks that insert artifacts.

View File

@@ -0,0 +1,135 @@
/**
* Runs tab for Katalogos: shows execution history for the current recollection.
*/
import React, { useEffect, useState, useCallback } from 'react'
import { useParams } from 'react-router-dom'
import { CheckCircle2, XCircle, Clock, Loader2 } from 'lucide-react'
type RunSummary = {
id: string
status: string
createdAt: string
updatedAt: string
error?: string | null
}
type RunDetail = RunSummary & {
steps: Array<{
id: string
nodeId: string
nodeType: string
status: string
error?: string | null
startedAt?: string | null
endedAt?: string | null
}>
}
const statusIcon: Record<string, React.ReactNode> = {
pending: <Clock className="size-3.5 text-muted-foreground" />,
running: <Loader2 className="size-3.5 animate-spin text-blue-500" />,
completed: <CheckCircle2 className="size-3.5 text-emerald-500" />,
failed: <XCircle className="size-3.5 text-destructive" />,
}
export function RunsTab() {
const { recollectionId } = useParams<{ recollectionId: string }>()
const [runs, setRuns] = useState<RunSummary[]>([])
const [loading, setLoading] = useState(true)
const [expandedRunId, setExpandedRunId] = useState<string | null>(null)
const [runDetail, setRunDetail] = useState<RunDetail | null>(null)
const fetchRuns = useCallback(async () => {
if (!recollectionId) return
setLoading(true)
try {
const res = await fetch(`/api/recollections/${recollectionId}/runs`)
if (res.ok) {
const data = await res.json()
setRuns(data.runs)
}
} catch {
// silently fail
} finally {
setLoading(false)
}
}, [recollectionId])
useEffect(() => { fetchRuns() }, [fetchRuns])
const toggleExpand = async (runId: string) => {
if (expandedRunId === runId) {
setExpandedRunId(null)
setRunDetail(null)
return
}
setExpandedRunId(runId)
try {
const res = await fetch(`/api/runs/${runId}`)
if (res.ok) {
const data = await res.json()
setRunDetail(data)
}
} catch {
// silently fail
}
}
if (loading) {
return (
<div className="flex items-center justify-center py-8 text-sm text-muted-foreground">
<Loader2 className="mr-2 size-4 animate-spin" />
Loading runs
</div>
)
}
if (runs.length === 0) {
return (
<div className="rounded-lg border border-dashed border-muted-foreground/30 bg-muted/10 p-4 text-sm text-muted-foreground">
No runs yet. Use the Run button in Flux to execute your graph.
</div>
)
}
return (
<div className="flex flex-col gap-2">
{runs.map((run) => (
<div key={run.id} className="rounded-lg border border-border bg-card text-card-foreground shadow-sm">
<button
type="button"
onClick={() => toggleExpand(run.id)}
className="flex w-full items-center justify-between gap-3 px-3 py-2.5 text-left text-sm hover:bg-accent/50 transition-colors"
>
<div className="flex items-center gap-2">
{statusIcon[run.status] ?? statusIcon.pending}
<span className="font-medium capitalize">{run.status}</span>
</div>
<span className="text-xs text-muted-foreground">
{new Date(run.createdAt).toLocaleString()}
</span>
</button>
{expandedRunId === run.id && runDetail && (
<div className="border-t border-border/60 px-3 py-2">
{run.error && (
<p className="mb-2 text-xs text-destructive">{run.error}</p>
)}
<div className="flex flex-col gap-1">
{runDetail.steps.map((step) => (
<div key={step.id} className="flex items-center gap-2 rounded px-2 py-1 text-xs">
{statusIcon[step.status] ?? statusIcon.pending}
<span className="font-mono text-muted-foreground">{step.nodeId.slice(0, 8)}</span>
<span className="capitalize text-muted-foreground">{step.nodeType}</span>
<span className="capitalize">{step.status}</span>
{step.error && <span className="truncate text-destructive">{step.error}</span>}
</div>
))}
</div>
</div>
)}
</div>
))}
</div>
)
}

View File

@@ -48,6 +48,7 @@ export type FluxSlot = {
canDuplicate?: boolean
canCopy?: boolean
onFitView?: () => void
onRun?: () => void
}
export type LogosSlot = {

View File

@@ -14,7 +14,8 @@ import {
} from '@/components/ui/menubar'
import { Kbd, KbdGroup } from '@/components/ui/kbd'
import { useRecollectionActions } from './RecollectionActionsContext'
import { ClipboardPaste, Copy, CopyPlus, Redo2, Undo2 } from 'lucide-react'
import { ClipboardPaste, Copy, CopyPlus, Redo2, Undo2, Play, Square } from 'lucide-react'
import { useRunStore } from '@/lib/graph/runStore'
const UNDO_KEYS = { key: 'z', shiftKey: false }
const REDO_KEYS = { key: 'z', shiftKey: true }
@@ -26,8 +27,28 @@ function matchKey(ev: KeyboardEvent, want: { key: string; shiftKey: boolean }) {
export function RecollectionEditViewMenus() {
const { activeSlot, flux, isFluxActive } = useRecollectionActions()
const runStatus = useRunStore((s) => s.status)
const resetRun = useRunStore((s) => s.reset)
const isDirty = useRunStore((s) => s.dirty)
const fluxSlot = isFluxActive ? flux : null
const isRunning = runStatus === 'running' || runStatus === 'pending'
const hasFinished = runStatus === 'completed' || runStatus === 'failed'
// Keyboard shortcut: Cmd+Enter to run
useEffect(() => {
if (!fluxSlot?.onRun) return
const onKeyDown = (ev: KeyboardEvent) => {
const mod = ev.ctrlKey || ev.metaKey
if (mod && ev.key === 'Enter' && !isRunning) {
ev.preventDefault()
ev.stopPropagation()
fluxSlot.onRun?.()
}
}
window.addEventListener('keydown', onKeyDown, true)
return () => window.removeEventListener('keydown', onKeyDown, true)
}, [fluxSlot?.onRun, isRunning])
useEffect(() => {
if (!activeSlot) return
@@ -150,5 +171,40 @@ export function RecollectionEditViewMenus() {
[activeSlot, fluxSlot, hasFluxOnly]
)
return menus
return (
<div className="flex items-center gap-1">
{menus}
{fluxSlot?.onRun && (
<button
type="button"
onClick={fluxSlot.onRun}
disabled={isRunning}
className={`relative flex h-7 items-center gap-1.5 rounded-md border px-2.5 text-xs font-medium shadow-sm transition-colors disabled:cursor-not-allowed ${
isRunning
? 'border-blue-500/40 bg-blue-500/10 text-blue-600 dark:text-blue-400'
: isDirty
? 'border-primary/50 bg-primary/10 text-primary hover:bg-primary/20'
: 'border-border/60 bg-card text-foreground hover:bg-accent'
}`}
aria-label={isRunning ? 'Run in progress' : isDirty ? 'Changes pending — run graph (⌘↵)' : 'Run graph (⌘↵)'}
title="⌘↵"
>
{isRunning ? (
<>
<Square className="size-3 fill-current" />
<span>Running</span>
</>
) : (
<>
<Play className="size-3 fill-current" />
<span>Run</span>
</>
)}
{isDirty && !isRunning && (
<span className="absolute -top-1 -right-1 size-2 rounded-full bg-primary" />
)}
</button>
)}
</div>
)
}

View File

@@ -5,6 +5,7 @@ import { useContext } from "react";
import { FlowUIContext } from "@/lib/graph/flowContext";
import { useConnectionPathRoleFromStore } from "@/app/canvas/useCanvasConnectionPathFromStore";
import { cn } from "@/lib/utils";
import { NodeRunStatusOverlay } from "./NodeRunStatusOverlay";
/** Default min size for resizable nodes (used by NodeResizer). */
export const RESIZE_MIN_WIDTH = 120;
@@ -102,6 +103,7 @@ export function BaseNode({
{!isFullscreenInstance && (
<div className={cn(!selected && "pointer-events-none")}>{handles}</div>
)}
{nodeId && <NodeRunStatusOverlay nodeId={nodeId} />}
</div>
);
}

View File

@@ -3,6 +3,7 @@ import { GraphContext } from '@/lib/graph/flowContext'
import { ArrowDownLeft, ArrowUpRight } from 'lucide-react'
import { NodeHelpPopover } from '@/components/graph/NodeHelpPopover'
import { getNodeType, getNodeClassificationLabel } from '@/lib/graph/nodeRegistry'
import { NodeRunStatusBadge } from './NodeRunStatusOverlay'
type Props = {
nodeId: string
@@ -55,6 +56,7 @@ export function NodeFooterEdgeIndicators({ nodeId, nodeType, children }: Props)
<span className="shrink-0" title="Node classification">{classificationLabel}</span>
</>
)}
<NodeRunStatusBadge nodeId={nodeId} />
<span className="shrink-0 ml-auto">
<NodeHelpPopover nodeType={nodeType} />
</span>

View File

@@ -0,0 +1,84 @@
/**
* Run status indicator for nodes. Two exports:
* - NodeRunStatusBadge: inline badge for node footers (primary integration point)
* - NodeRunStatusOverlay: subtle border overlay for running/pending/failed states
*/
import React from 'react'
import { useRunStore, type NodeRunStatus } from '@/lib/graph/runStore'
import { cn } from '@/lib/utils'
import { CheckCircle2, Loader2, XCircle, Clock } from 'lucide-react'
const badgeConfig: Record<NodeRunStatus, { icon: React.ReactNode; label: string; className: string }> = {
pending: {
icon: <Clock className="size-3" />,
label: 'Pending',
className: 'text-muted-foreground',
},
running: {
icon: <Loader2 className="size-3 animate-spin" />,
label: 'Running',
className: 'text-blue-500',
},
completed: {
icon: <CheckCircle2 className="size-3" />,
label: 'Done',
className: 'text-emerald-500',
},
failed: {
icon: <XCircle className="size-3" />,
label: 'Failed',
className: 'text-destructive',
},
}
/** Inline badge for node footers — shows run status next to edge indicators. */
export function NodeRunStatusBadge({ nodeId }: { nodeId: string }) {
const nodeState = useRunStore((s) => s.nodeStates[nodeId])
const runStatus = useRunStore((s) => s.status)
if (runStatus === 'idle') return null
if (!nodeState) return null
const { icon, label, className } = badgeConfig[nodeState.status]
return (
<span className={cn('flex items-center gap-1 shrink-0', className)} title={label}>
{icon}
<span className="text-[10px]">{label}</span>
</span>
)
}
const overlayBorder: Record<NodeRunStatus, string> = {
pending: 'border-muted-foreground/20',
running: 'border-blue-500/40',
completed: 'border-transparent',
failed: 'border-destructive/40',
}
/** Subtle border overlay — only visible for running/pending/failed. */
export function NodeRunStatusOverlay({ nodeId }: { nodeId: string }) {
const nodeState = useRunStore((s) => s.nodeStates[nodeId])
const runStatus = useRunStore((s) => s.status)
if (runStatus === 'idle') return null
if (!nodeState) return null
// No overlay needed for completed — the footer badge is enough
if (nodeState.status === 'completed') return null
return (
<div
className={cn(
'absolute inset-0 z-10 pointer-events-none rounded-md border-2 transition-colors duration-300',
overlayBorder[nodeState.status]
)}
>
{nodeState.error && (
<div className="absolute bottom-0 left-0 right-0 truncate rounded-b-md bg-destructive/90 px-2 py-0.5 text-[10px] text-destructive-foreground">
{nodeState.error}
</div>
)}
</div>
)
}

View File

@@ -22,17 +22,9 @@ import {
MenubarSubContent,
MenubarSubTrigger,
} from '@/components/ui/menubar'
import { Sparkles, Play, ChevronDown, Loader2, RotateCw } from 'lucide-react'
import { Sparkles, Loader2, RotateCw } from 'lucide-react'
import { InputHandle, OutputHandle } from '@/components/graph/NodeHandles'
import { Button } from '@/components/ui/button'
import { ButtonGroup } from '@/components/ui/button-group'
import {
DropdownMenu,
DropdownMenuCheckboxItem,
DropdownMenuContent,
DropdownMenuLabel,
DropdownMenuTrigger,
} from '@/components/ui/dropdown-menu'
import { useTheme } from '@/lib/themeContext'
import {
useRenderingNodeState,
@@ -165,95 +157,8 @@ function RenderingNodeComponent({ id, data, width, height, selected }: Props) {
: undefined
}
right={
state.incomingIds.length > 0 ? (
<div className="flex items-center gap-2 shrink-0">
<ButtonGroup className="nodrag nopan">
{state.effectiveUpdateMode === 'manual' ? (
<Button
type="button"
size="sm"
variant="outline"
disabled={state.loading || !state.hasPendingInputs}
className="h-7 gap-1.5 rounded-r-none border-r-0 px-2.5 text-xs"
onClick={(e) => {
e.stopPropagation()
state.incrementRunTrigger()
}}
title={
state.hasPendingInputs
? 'Inputs changed — click to render'
: !state.hasPendingInputs
? 'No new data to render'
: undefined
}
>
{state.loading ? (
<Loader2 className="size-3.5 animate-spin shrink-0" aria-hidden />
) : (
<Play className="size-3.5 shrink-0" />
)}
Run
</Button>
) : state.loading ? (
<Button
type="button"
size="sm"
variant="outline"
disabled
className="h-7 gap-1.5 rounded-r-none border-r-0 px-2.5 text-xs"
aria-label="Updating"
>
<Loader2 className="size-3.5 animate-spin shrink-0" aria-hidden />
</Button>
) : null}
<DropdownMenu>
<DropdownMenuTrigger asChild>
<Button
type="button"
size="sm"
variant="outline"
className={`h-7 min-w-[4.5rem] gap-1 pl-2 pr-1.5 text-xs font-normal ${state.effectiveUpdateMode === 'manual' || state.loading ? 'rounded-l-none' : 'rounded-l-md'}`}
aria-label="Update mode"
onClick={(e) => e.stopPropagation()}
>
<span className="text-muted-foreground">
{state.effectiveUpdateMode === 'manual' ? 'Manual' : 'Auto'}
</span>
<ChevronDown className="size-3.5 shrink-0 opacity-70" />
</Button>
</DropdownMenuTrigger>
<DropdownMenuContent align="end" className="w-64" onClick={(e) => e.stopPropagation()}>
<DropdownMenuLabel className="text-xs font-normal text-muted-foreground">
When to re-render
</DropdownMenuLabel>
<DropdownMenuCheckboxItem
checked={state.effectiveUpdateMode === 'auto'}
onCheckedChange={(checked) =>
checked && state.setUpdateMode('auto')
}
className="flex flex-col items-start gap-0.5 py-2"
>
<span className="font-medium">Auto</span>
<span className="text-muted-foreground text-xs font-normal">
Re-renders when upstream content changes
</span>
</DropdownMenuCheckboxItem>
<DropdownMenuCheckboxItem
checked={state.effectiveUpdateMode === 'manual'}
onCheckedChange={(checked) =>
checked && state.setUpdateMode('manual')
}
className="flex flex-col items-start gap-0.5 py-2"
>
<span className="font-medium">Manual</span>
<span className="text-muted-foreground text-xs font-normal">
Re-renders only when you click Run
</span>
</DropdownMenuCheckboxItem>
</DropdownMenuContent>
</DropdownMenu>
</ButtonGroup>
</div>
state.incomingIds.length > 0 && state.loading ? (
<Loader2 className="size-3.5 animate-spin shrink-0 text-muted-foreground" aria-label="Rendering" />
) : undefined
}
/>

View File

@@ -76,6 +76,7 @@ import {
import { buildSourceSignatures, type NodeLike, type EdgeLike } from '@/lib/graph/renderingSignatures'
import { getNodeDisplayStatus, type NodeDisplayStatus } from '@/lib/graph/state'
import type { ConfigTypeId, SourceRenderingLogicContext } from '@/lib/graph/rendering'
import { useRunStore } from '@/lib/graph/runStore'
export type OutputMode = 'image' | 'string'
@@ -207,8 +208,11 @@ export function useRenderingNodeState(
() => (srcNode?.type ? getSourceRenderingLogic(srcNode.type as string) : null),
[srcNode?.type]
)
const effectiveUpdateMode = (data?.updateMode ?? sourceLogic?.defaultUpdateMode ?? 'auto') as 'auto' | 'manual'
const runTrigger = data?.runTrigger ?? 0
// All rendering is now triggered by the global Run button — no auto/manual distinction.
const effectiveUpdateMode: 'auto' | 'manual' = 'manual'
// Use global run trigger from runStore instead of per-node trigger
const globalRunTrigger = useRunStore((s) => s.globalRunTrigger)
const runTrigger = globalRunTrigger
const outputMode: OutputMode = (data?.outputMode ?? 'image') as OutputMode
const setOutputMode = useCallback(
(mode: OutputMode) => updateData({ outputMode: mode }),
@@ -330,7 +334,7 @@ export function useRenderingNodeState(
if (!hasCachedOutput) {
setRenderedContent(null)
setResolvedContent(null)
setError({ kind: 'no-content', message: 'Click Run to render.' })
setError({ kind: 'no-content', message: 'Press Run (⌘↵) to render.' })
setLoading(false)
}
return

View File

@@ -0,0 +1,109 @@
/**
* SSE subscriber hook for graph run execution.
* Connects to GET /api/runs/:id/stream and updates runStore.
*/
import { useEffect, useRef, useCallback } from 'react'
import { useRunStore } from '@/lib/graph/runStore'
import { dispatchCanvasCommand } from '@/app/canvas/canvasStore'
export function useRunStream() {
const eventSourceRef = useRef<EventSource | null>(null)
const { startRun, setRunStatus, setNodeStatus, appendChunk } = useRunStore()
const disconnect = useCallback(() => {
if (eventSourceRef.current) {
eventSourceRef.current.close()
eventSourceRef.current = null
}
}, [])
const connectToRun = useCallback(
(runId: string) => {
disconnect()
startRun(runId)
const es = new EventSource(`/api/runs/${runId}/stream`)
eventSourceRef.current = es
es.addEventListener('run/started', (e) => {
const data = JSON.parse(e.data)
setRunStatus('running')
// Initialize all nodes as pending so overlays appear immediately
const nodeIds = data.nodeIds as string[] | undefined
if (nodeIds) {
for (const nodeId of nodeIds) {
setNodeStatus(nodeId, { status: 'pending' })
}
}
})
es.addEventListener('run/completed', () => {
setRunStatus('completed')
es.close()
})
es.addEventListener('run/failed', (e) => {
const data = JSON.parse(e.data)
setRunStatus('failed', data.error)
es.close()
})
es.addEventListener('step/started', (e) => {
const data = JSON.parse(e.data)
setNodeStatus(data.nodeId, { status: 'running' })
// Fire trail animation along edges leading to this node
dispatchCanvasCommand({ type: 'path/addTrigger', payload: data.nodeId })
})
es.addEventListener('step/completed', (e) => {
const data = JSON.parse(e.data)
setNodeStatus(data.nodeId, { status: 'completed', output: data.output })
})
es.addEventListener('step/failed', (e) => {
const data = JSON.parse(e.data)
setNodeStatus(data.nodeId, { status: 'failed', error: data.error })
})
es.addEventListener('step/chunk', (e) => {
const data = JSON.parse(e.data)
appendChunk(data.nodeId, data.chunk)
})
es.onerror = () => {
setRunStatus('failed', 'Connection lost')
es.close()
}
},
[disconnect, startRun, setRunStatus, setNodeStatus, appendChunk]
)
// Cleanup on unmount
useEffect(() => disconnect, [disconnect])
return { connectToRun, disconnect }
}
/**
* Trigger a new run: POST the graph, then connect SSE.
*/
export async function createAndStreamRun(
recollectionId: string,
graph: { nodes: unknown[]; edges: unknown[] },
connectToRun: (runId: string) => void
): Promise<void> {
const res = await fetch('/api/runs', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ recollectionId, graph }),
})
if (!res.ok) {
const err = await res.json().catch(() => ({ error: 'Failed to create run' }))
throw new Error(err.error ?? 'Failed to create run')
}
const { id } = await res.json()
connectToRun(id)
}

View File

@@ -4,7 +4,7 @@
* - **AbstractNodeProps<TData>** — Typed props (id, data, width?, height?, selected?) for your node.
* - **useAbstractNode(id, data)** — Flow context plus helpers: nodes, edges, setNodes, setEdges,
* updateData(partial), incomingEdges, outgoingEdges, sourceIds, targetIds. Calling updateData()
* also marks this node as a connection-path trigger so edges update on data changes.
* also marks the run state as dirty so the Run button shows pending changes.
* - **createAbstractNodeComponent(displayName, Component)** — Wraps with memo + nodePropsAreEqual.
*
* **Node lifecycle / connection status:** Nodes that can be updating, paused, or in error should
@@ -17,9 +17,23 @@
import React, { useCallback, useContext, useMemo } from 'react'
import { GraphContext } from './flowContext'
import { dispatchCanvasCommand } from '@/app/canvas/canvasStore'
import { nodePropsAreEqual } from './flowUtils'
import type { AppNode } from './nodeTypes'
import { useRunStore } from './runStore'
// ---------------------------------------------------------------------------
// Constants
// ---------------------------------------------------------------------------
/** Data keys written by the render pipeline cache — these should NOT mark the run state as dirty. */
const CACHE_DATA_KEYS = new Set([
'cachedRenderedContent',
'cachedResolvedContent',
'cachedReasoningContent',
'cachedOutputValue',
'lastRunSourceSignature',
'outputMarkdown',
])
// ---------------------------------------------------------------------------
// Types
@@ -87,6 +101,7 @@ export function useAbstractNode<TData = Record<string, unknown>>(
const setNodes = graphCtx?.setNodes
const setEdges = graphCtx?.setEdges
const markDirty = useRunStore((s) => s.markDirty)
const updateData = useCallback(
(partial: Partial<TData>) => {
if (!setNodes) return
@@ -95,9 +110,12 @@ export function useAbstractNode<TData = Record<string, unknown>>(
n.id === id ? { ...n, data: { ...(n.data as object), ...partial } } : n
) as AppNode[]
)
dispatchCanvasCommand({ type: 'path/addTrigger', payload: id })
// Only mark dirty for user-facing changes, not internal cache writes from the render pipeline
const keys = Object.keys(partial)
const isCacheOnly = keys.length > 0 && keys.every((k) => CACHE_DATA_KEYS.has(k))
if (!isCacheOnly) markDirty()
},
[id, setNodes]
[id, setNodes, markDirty]
)
const incomingEdges = useMemo(

View File

@@ -0,0 +1,99 @@
/**
* Run execution state (Zustand). Tracks active run status and per-node execution state.
* Separate from canvasStore to avoid coupling graph editing with run state.
*/
import { create } from 'zustand'
export type NodeRunStatus = 'pending' | 'running' | 'completed' | 'failed'
export type RunStatus = 'idle' | 'pending' | 'running' | 'completed' | 'failed'
export type NodeStepState = {
status: NodeRunStatus
output?: string
error?: string
chunk?: string
}
export type RunState = {
/** Current run ID (null when no run is active) */
activeRunId: string | null
/** Overall run status */
status: RunStatus
/** Per-node execution state, keyed by node ID */
nodeStates: Record<string, NodeStepState>
/** Error message if the run failed */
error: string | null
/** Whether the graph has changed since the last run */
dirty: boolean
/** Global trigger counter — render nodes subscribe to this to trigger their pipeline */
globalRunTrigger: number
}
type RunActions = {
startRun: (runId: string) => void
setRunStatus: (status: RunStatus, error?: string) => void
setNodeStatus: (nodeId: string, state: Partial<NodeStepState>) => void
appendChunk: (nodeId: string, chunk: string) => void
markDirty: () => void
reset: () => void
}
const initialState: RunState = {
activeRunId: null,
status: 'idle',
nodeStates: {},
error: null,
dirty: true,
globalRunTrigger: 0,
}
export const useRunStore = create<RunState & RunActions>((set) => ({
...initialState,
startRun: (runId) =>
set((s) => ({
activeRunId: runId,
status: 'pending',
nodeStates: {},
error: null,
dirty: false,
globalRunTrigger: s.globalRunTrigger + 1,
})),
setRunStatus: (status, error) =>
set({ status, error: error ?? null }),
setNodeStatus: (nodeId, partial) =>
set((s) => ({
nodeStates: {
...s.nodeStates,
[nodeId]: { ...s.nodeStates[nodeId], ...partial } as NodeStepState,
},
})),
appendChunk: (nodeId, chunk) =>
set((s) => {
const prev = s.nodeStates[nodeId]
return {
nodeStates: {
...s.nodeStates,
[nodeId]: {
...prev,
chunk: (prev?.chunk ?? '') + chunk,
},
},
}
}),
markDirty: () => set((s) => {
// Clear completed/failed overlays when graph changes — stale results no longer meaningful
const isFinished = s.status === 'completed' || s.status === 'failed'
return {
dirty: true,
...(isFinished ? { nodeStates: {}, status: 'idle' as RunStatus } : {}),
}
}),
reset: () => set((s) => ({ ...initialState, globalRunTrigger: s.globalRunTrigger })),
}))

View File

@@ -16,6 +16,14 @@ export default defineConfig({
target: 'http://localhost:8080',
changeOrigin: true,
},
'/api/runs': {
target: 'http://localhost:8080',
changeOrigin: true,
},
'/api/recollections': {
target: 'http://localhost:8080',
changeOrigin: true,
},
// Kroki diagram service
'/api/kroki': {
target: 'https://kroki.io',