27699a2469
Dashboard:
- New 'Always-on services' section with cards for Parakeet and Magpie
- Each card: host:port, model loaded, status pill (Healthy/Unhealthy/Starting/Not configured)
- Start, Restart, Stop buttons. Buttons disabled when not applicable for current state
- Restart counter shown when > 1 (would have surfaced the old magpie crash loop)
Backend:
- New /api/services GET: docker container state + http health for each support service
- New POST /api/services/{name}/{action} for start | stop | restart
- services.py module: docker_state, run_action via SSH
- config.py: PARAKEET_HOST/USER/CONTAINER and MAGPIE_* env vars, default to spark2_*
- health.py: use per-service hosts (no longer hard-wired to spark2_host)
Package:
- sparkConfig.yaml.ts: add 6 new optional fields
- configureSparks action: optional 'Parakeet host', 'Parakeet container', 'Magpie host', 'Magpie container' fields; descriptions explain they default to Spark 2 when blank
- Handler normalizes nulls to empty strings before merge
- main.ts: pass new env vars to container
- bump to 0.2.0:0
105 lines
3.3 KiB
TypeScript
105 lines
3.3 KiB
TypeScript
import { sdk } from '../sdk'
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import { sparkConfigYaml } from '../fileModels/sparkConfig.yaml'
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const { InputSpec, Value } = sdk
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const inputSpec = InputSpec.of({
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spark1_host: Value.text({
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name: 'Spark 1 hostname or IP',
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description:
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'The head node of your DGX Spark cluster — the one that has ~/spark-vllm-docker cloned and runs the vLLM container. Enter its LAN IP (recommended) or hostname.',
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required: true,
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default: null,
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placeholder: 'e.g. 192.168.1.10',
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masked: false,
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}),
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spark1_user: Value.text({
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name: 'Spark 1 SSH user',
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description:
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'The user account on Spark 1 to SSH in as — whatever you log in as when you ssh into it manually.',
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required: true,
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default: null,
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placeholder: 'your SSH username',
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masked: false,
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}),
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spark2_host: Value.text({
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name: 'Spark 2 hostname or IP',
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description:
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'The worker node of your DGX Spark cluster (also runs always-on services like Parakeet/Magpie). Enter its LAN IP or hostname.',
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required: true,
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default: null,
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placeholder: 'e.g. 192.168.1.11',
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masked: false,
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}),
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spark2_user: Value.text({
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name: 'Spark 2 SSH user',
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description:
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'The user account on Spark 2 to SSH in as. Usually the same as Spark 1.',
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required: true,
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default: null,
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placeholder: 'your SSH username',
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masked: false,
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}),
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parakeet_host: Value.text({
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name: 'Parakeet host (optional)',
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description:
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'Override the host running the Parakeet STT container. Leave blank if Parakeet runs on Spark 2 — that\'s the default. Set this if you run Parakeet on Spark 1 or a different machine.',
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required: false,
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default: null,
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placeholder: 'leave blank to use Spark 2',
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masked: false,
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}),
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parakeet_container: Value.text({
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name: 'Parakeet container name (optional)',
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description:
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'Docker container name for Parakeet. Defaults to "parakeet-asr" — change only if you named yours something else.',
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required: false,
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default: null,
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placeholder: 'parakeet-asr',
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masked: false,
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}),
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magpie_host: Value.text({
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name: 'Magpie host (optional)',
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description:
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'Override the host running the Magpie TTS container. Leave blank if Magpie runs on Spark 2.',
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required: false,
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default: null,
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placeholder: 'leave blank to use Spark 2',
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masked: false,
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}),
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magpie_container: Value.text({
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name: 'Magpie container name (optional)',
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description:
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'Docker container name for Magpie. Defaults to "magpie-tts".',
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required: false,
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default: null,
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placeholder: 'magpie-tts',
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masked: false,
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}),
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})
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export const configureSparks = sdk.Action.withInput(
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'configure-sparks',
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async () => ({
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name: 'Configure Sparks',
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description: 'Set the hostnames and SSH users for your two Spark nodes.',
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warning: null,
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visibility: 'enabled',
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allowedStatuses: 'any',
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group: null,
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}),
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async () => inputSpec,
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async ({ effects }) => {
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const cfg = await sparkConfigYaml.read().once()
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return cfg ?? null
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},
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async ({ effects, input }) => {
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// Optional fields come through as `null`; coerce to empty string for the schema.
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const normalized = Object.fromEntries(
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Object.entries(input).map(([k, v]) => [k, v ?? '']),
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) as Record<string, string>
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await sparkConfigYaml.merge(effects, normalized)
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return null
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},
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)
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