A node's numbers leave through its ports, not a logging call
The first cut had node code call fluksio.log_metric, which was a second, undeclared way for data to leave a node: invisible to validation, absent from the canvas, and stored where the graph could not see it. That is precisely the MLflow discrepancy this framework exists to avoid, so it is gone. A node that produces values over time is a generator. Every yield is a dict keyed by output port, published the instant it happens — same port, same type check, same place on the canvas as any other value — and what it returns is its result. A port doing this declares stream: true, and a run keeps every number one takes, so experiment tracking is a consequence of the graph rather than an API beside it: a chart binds to a training curve the way it binds to a temperature. fluksio.emit writes the same ports imperatively, for where a yield cannot reach — inside a training framework's callback. In a live flow an emission also wakes what is downstream, as a subscriber publishing does; in a run it does not, because a run's graph is scheduled once and mid-node cascades would leave 'finished' with nothing to mean. The enqueued item carries no payload: the value is already in state, and one carrying it would re-apply an old emission after the node returned. Verified on the stack: 30 loss values arrived live on the flow socket during a run, attributed to the node that produced them, and the same node run on the remote worker streamed its curve back across the socket. Also caches remote compile results per worker, so attaching a GPU box does not put a network round trip in every rebuild. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01AD8SfVhzXBG2nAfFcVh3iD
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@@ -1264,6 +1264,11 @@ export const MessageSpecSchema = {
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type: 'boolean',
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title: 'Trigger',
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default: true
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},
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stream: {
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type: 'boolean',
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title: 'Stream',
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default: false
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}
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},
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type: 'object',
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@@ -1286,7 +1291,15 @@ export const MessageSpecSchema = {
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:param trigger: Whether arriving values wake the node. An input with this
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off is read when the node runs for some other reason, but never causes
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a run and never makes the node wait — which is how a node reads a
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message it also produces without depending on itself.`
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message it also produces without depending on itself.
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:param stream: On an output, that this port produces repeatedly *during* one
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execution rather than once at the end — a training loss, a progress
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fraction. A node emits on it by being a generator and yielding, or by
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calling \`\`fluksio.emit\`\`. What it means downstream is nothing special:
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a value published mid-execution is a value like any other. What it
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means to a run is that the whole series is kept, which is how a run's
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metrics are simply its streaming outputs rather than something logged
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beside them.`
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} as const;
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export const MessagesPublicSchema = {
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@@ -484,6 +484,14 @@ export type MessagePoints = {
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* off is read when the node runs for some other reason, but never causes
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* a run and never makes the node wait — which is how a node reads a
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* message it also produces without depending on itself.
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* :param stream: On an output, that this port produces repeatedly *during* one
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* execution rather than once at the end — a training loss, a progress
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* fraction. A node emits on it by being a generator and yielding, or by
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* calling ``fluksio.emit``. What it means downstream is nothing special:
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* a value published mid-execution is a value like any other. What it
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* means to a run is that the whole series is kept, which is how a run's
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* metrics are simply its streaming outputs rather than something logged
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* beside them.
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*/
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export type MessageSpec = {
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name?: string;
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@@ -492,6 +500,7 @@ export type MessageSpec = {
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item?: (DType | null);
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interval?: number;
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trigger?: boolean;
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stream?: boolean;
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};
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export type MessagesPublic = {
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@@ -1,5 +1,5 @@
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import { useMutation, useQuery, useQueryClient } from "@tanstack/react-query"
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import { Maximize2, Minimize2, X } from "lucide-react"
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import { Activity, Maximize2, Minimize2, X } from "lucide-react"
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import {
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type ComponentProps,
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lazy,
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@@ -216,6 +216,7 @@ function PortList({
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suggestions,
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onChange,
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onRenamed,
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streamable = false,
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}: {
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title: string
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specs: MessageSpec[]
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@@ -224,6 +225,8 @@ function PortList({
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suggestions: string[]
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onChange: (next: MessageSpec[]) => void
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onRenamed?: (previous: string, next: string) => void
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/** Outputs only: a port a node publishes on repeatedly while it runs. */
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streamable?: boolean
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}) {
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// The port just added, so its name field can take focus.
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const [freshIndex, setFreshIndex] = useState<number | null>(null)
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@@ -325,6 +328,25 @@ function PortList({
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update(index, { interval: Number(event.target.value) || 0 })
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}
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/>
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{streamable ? (
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<Button
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variant={spec.stream ? "secondary" : "ghost"}
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size="icon-sm"
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aria-label="Streaming output"
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aria-pressed={spec.stream ?? false}
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title={
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"Published repeatedly while the node runs — a curve rather " +
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"than a result. A run keeps every value it takes."
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}
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className={cn(
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"shrink-0",
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!spec.stream && "text-muted-foreground",
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)}
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onClick={() => update(index, { stream: !spec.stream })}
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>
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<Activity />
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</Button>
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) : null}
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<Button
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variant="ghost"
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size="icon-sm"
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@@ -961,6 +983,7 @@ function PanelBody({
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emptyHint="Nothing yet. Add a message this node publishes."
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suggestions={suggestions.provides}
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onChange={(provides) => editNode({ ...node, provides })}
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streamable
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// Only the publishing side names a message; an input is as often
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// re-pointed at a different one as it is renamed.
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onRenamed={onRenameMessage}
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