chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,44 @@
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/**
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* Subprocess wrapper for Cognitum Cog binaries (CLI variant).
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* Mirrors tools/ruview-mcp/src/cog.ts.
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*/
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import { spawn } from "node:child_process";
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export type Result<T> = { ok: true; data: T } | { ok: false; error: string };
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const COG_TIMEOUT_MS = 15_000;
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export async function runCog(binary: string, args: string[]): Promise<Result<string>> {
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return new Promise((resolve) => {
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let stdout = "";
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let stderr = "";
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const child = spawn(binary, args, {
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timeout: COG_TIMEOUT_MS,
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stdio: ["ignore", "pipe", "pipe"],
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});
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child.stdout?.on("data", (chunk: Buffer) => { stdout += chunk.toString(); });
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child.stderr?.on("data", (chunk: Buffer) => { stderr += chunk.toString(); });
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child.on("error", (e) => {
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resolve(err(
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`Failed to launch "${binary}" (${args.join(" ")}): ${e.message}. ` +
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`Set RUVIEW_POSE_COG_BINARY / RUVIEW_COUNT_COG_BINARY or install the cog.`
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));
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});
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child.on("close", (code) => {
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if (code !== 0) {
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resolve(err(`Cog "${binary} ${args.join(" ")}" exited with code ${code}. stderr: ${stderr.trim() || "(empty)"}`));
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} else {
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resolve({ ok: true, data: stdout });
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}
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});
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});
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}
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function err(error: string): { ok: false; error: string } {
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return { ok: false, error };
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}
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@@ -0,0 +1,88 @@
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/**
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* ruview cogs — Cognitum edge module registry commands.
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*
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* cogs list — list cogs from the registry (via sensing-server ADR-102 proxy).
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*/
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import type { Argv } from "yargs";
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import { sensingGet } from "../http.js";
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import { loadConfig } from "../config.js";
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export function cogsCommand(cli: Argv): void {
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cli.command(
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"cogs <action>",
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"Edge module registry commands",
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(y) =>
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y
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.positional("action", {
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choices: ["list"] as const,
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description: "Action to perform",
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})
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.option("category", {
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type: "string",
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description:
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"Filter by category: health, security, building, retail, industrial, " +
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"research, ai, swarm, signal, network, developer",
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})
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.option("search", {
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type: "string",
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description: "Search substring matched against cog id and name (case-insensitive)",
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})
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.option("refresh", {
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type: "boolean",
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default: false,
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description: "Bypass the 1-hour registry cache",
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})
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.option("url", {
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type: "string",
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description: "Override the sensing-server URL",
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}),
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async (args) => {
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const config = loadConfig();
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const baseUrl = (args["url"] as string | undefined) ?? config.sensingServerUrl;
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if (args.action === "list") {
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const qs = args.refresh ? "?refresh=1" : "";
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const result = await sensingGet<{
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registry?: { cogs?: object[]; apps?: object[] };
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}>(baseUrl, `/api/v1/edge/registry${qs}`, config.apiToken);
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if (!result.ok) {
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process.stderr.write(`[WARN] ${result.error}\n`);
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process.stdout.write(
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JSON.stringify({ ok: false, warn: true, error: result.error }) + "\n"
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);
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process.exit(0);
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}
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const payload = result.data;
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let cogs: object[] =
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payload.registry?.cogs ?? payload.registry?.apps ?? [];
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if (args.category) {
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const cat = (args.category as string).toLowerCase();
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cogs = cogs.filter(
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(c) =>
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(c as Record<string, unknown>)["category"]
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?.toString()
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.toLowerCase() === cat
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);
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}
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if (args.search) {
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const q = (args.search as string).toLowerCase();
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cogs = cogs.filter((c) => {
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const rec = c as Record<string, unknown>;
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return (
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rec["id"]?.toString().toLowerCase().includes(q) ||
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rec["name"]?.toString().toLowerCase().includes(q)
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);
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});
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}
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process.stdout.write(
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JSON.stringify({ ok: true, total: cogs.length, cogs }, null, 2) + "\n"
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);
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}
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}
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);
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}
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@@ -0,0 +1,100 @@
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/**
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* ruview count — Person count commands.
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*
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* count infer — run single-shot person-count inference.
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*/
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import type { Argv } from "yargs";
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import { runCog } from "../cog.js";
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import { loadConfig } from "../config.js";
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export function countCommand(cli: Argv): void {
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cli.command(
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"count <action>",
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"Person count commands",
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(y) =>
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y
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.positional("action", {
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choices: ["infer"] as const,
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description: "Action to perform",
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})
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.option("window", {
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type: "string",
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description: "Path to a CSI window JSON file (omit to use live sensing-server)",
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})
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.option("binary", {
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type: "string",
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description: "Path to cog-person-count binary (default: RUVIEW_COUNT_COG_BINARY)",
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})
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.option("max-persons", {
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type: "number",
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default: 7,
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description: "Upper bound on person count (1–7, default: 7)",
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}),
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async (args) => {
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const config = loadConfig();
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const binary = (args["binary"] as string | undefined) ?? config.countCogBinary;
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if (args.action === "infer") {
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const t0 = Date.now();
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const health = await runCog(binary, ["health"]);
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const latencyMs = Date.now() - t0;
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if (!health.ok) {
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process.stderr.write(
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`[WARN] Cog health check failed: ${health.error}\n` +
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`Set RUVIEW_COUNT_COG_BINARY or install cog-person-count (ADR-103).\n`
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);
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process.stdout.write(
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JSON.stringify({
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ok: false,
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warn: true,
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error: health.error,
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result: { count: 0, confidence: 0, count_p95_low: 0, count_p95_high: 0, backend: "unavailable", latency_ms: 0 },
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}) + "\n"
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);
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process.exit(0);
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}
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let backend = "unknown";
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let count = 0;
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let confidence = 0;
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let p95Low = 0;
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let p95High = 0;
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for (const line of health.data.split("\n")) {
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try {
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const ev = JSON.parse(line.trim()) as Record<string, unknown>;
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if (ev["event"] === "health.ok") {
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const fields = ev["fields"] as Record<string, unknown>;
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backend = String(fields["backend"] ?? "unknown");
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count = Number(fields["synthetic_count"] ?? 0);
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confidence = Number(fields["synthetic_confidence"] ?? 0);
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const p95 = fields["synthetic_p95_range"] as number[];
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p95Low = p95?.[0] ?? 0;
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p95High = p95?.[1] ?? 0;
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break;
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}
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} catch { /* skip */ }
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}
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process.stdout.write(
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JSON.stringify({
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ok: true,
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synthetic_window: true,
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note: "M2: real inference on synthetic CSI window via cog health check.",
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result: {
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ts: Date.now() / 1000,
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count,
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confidence,
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count_p95_low: p95Low,
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count_p95_high: p95High,
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backend,
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latency_ms: latencyMs,
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},
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}) + "\n"
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);
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}
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}
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);
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}
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@@ -0,0 +1,64 @@
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/**
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* ruview csi — CSI frame commands.
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*
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* csi tail — stream live CSI frames from the sensing-server.
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*/
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import type { Argv } from "yargs";
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import { sensingGet } from "../http.js";
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import { loadConfig } from "../config.js";
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export function csiCommand(cli: Argv): void {
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cli.command(
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"csi <action>",
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"CSI frame commands",
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(y) =>
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y
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.positional("action", {
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choices: ["tail"] as const,
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description: "Action to perform",
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})
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.option("url", {
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type: "string",
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description:
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"Sensing-server URL (default: RUVIEW_SENSING_SERVER_URL or http://localhost:3000)",
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})
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.option("interval", {
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type: "number",
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default: 500,
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description: "Polling interval in milliseconds (default: 500)",
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}),
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async (args) => {
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const config = loadConfig();
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const baseUrl = (args["url"] as string | undefined) ?? config.sensingServerUrl;
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if (args.action === "tail") {
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process.stderr.write(
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`[ruview csi tail] Streaming from ${baseUrl} every ${args.interval}ms. Ctrl-C to stop.\n`
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);
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// Streaming poll loop.
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// eslint-disable-next-line no-constant-condition
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while (true) {
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const result = await sensingGet<object>(
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baseUrl,
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"/api/v1/sensing/latest",
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config.apiToken
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);
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|
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if (!result.ok) {
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process.stderr.write(
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`[WARN] ${result.error} — retrying in ${args.interval}ms\n`
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);
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} else {
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process.stdout.write(JSON.stringify(result.data) + "\n");
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}
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await new Promise<void>((resolve) =>
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setTimeout(resolve, args.interval as number)
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);
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}
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}
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||||
}
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);
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}
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@@ -0,0 +1,73 @@
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/**
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* ruview job — Job management commands.
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*
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* job status --id <job_id> — poll a background training job.
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*/
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import type { Argv } from "yargs";
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import { readFileSync, existsSync } from "node:fs";
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import { loadConfig } from "../config.js";
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export function jobCommand(cli: Argv): void {
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cli.command(
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"job <action>",
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"Job management commands",
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(y) =>
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y
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.positional("action", {
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choices: ["status"] as const,
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description: "Action to perform",
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||||
})
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.option("id", {
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type: "string",
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demandOption: true,
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description: "Job ID returned by ruview train count",
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||||
}),
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async (args) => {
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const config = loadConfig();
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||||
|
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if (args.action === "status") {
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const jobId = args.id as string;
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const { default: path } = await import("node:path");
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const logPath = path.join(config.jobsDir, `${jobId}.log`);
|
||||
|
||||
if (!existsSync(logPath)) {
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process.stdout.write(
|
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JSON.stringify({
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ok: false,
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||||
error: `Job ${jobId} not found at ${logPath}. ` +
|
||||
"The CLI process that started the job may have been restarted.",
|
||||
}) + "\n"
|
||||
);
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process.exit(0);
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||||
}
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||||
|
||||
const content = readFileSync(logPath, "utf8");
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||||
const lines = content.split("\n");
|
||||
const recentLog = lines.slice(Math.max(0, lines.length - 20));
|
||||
|
||||
// Derive status from the log content.
|
||||
let status: string = "running";
|
||||
if (content.includes("# exit code: 0")) {
|
||||
status = "done";
|
||||
} else if (content.includes("# exit code:") || content.includes("# ERROR:")) {
|
||||
status = "failed";
|
||||
}
|
||||
|
||||
process.stdout.write(
|
||||
JSON.stringify(
|
||||
{
|
||||
ok: true,
|
||||
job_id: jobId,
|
||||
status,
|
||||
log_path: logPath,
|
||||
recent_log: recentLog,
|
||||
},
|
||||
null,
|
||||
2
|
||||
) + "\n"
|
||||
);
|
||||
}
|
||||
}
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,86 @@
|
||||
/**
|
||||
* ruview pose — Pose estimation commands.
|
||||
*
|
||||
* pose infer — run single-shot 17-keypoint inference.
|
||||
*/
|
||||
|
||||
import type { Argv } from "yargs";
|
||||
import { runCog } from "../cog.js";
|
||||
import { loadConfig } from "../config.js";
|
||||
|
||||
export function poseCommand(cli: Argv): void {
|
||||
cli.command(
|
||||
"pose <action>",
|
||||
"Pose estimation commands",
|
||||
(y) =>
|
||||
y
|
||||
.positional("action", {
|
||||
choices: ["infer"] as const,
|
||||
description: "Action to perform",
|
||||
})
|
||||
.option("window", {
|
||||
type: "string",
|
||||
description: "Path to a CSI window JSON file (omit to use live sensing-server)",
|
||||
})
|
||||
.option("binary", {
|
||||
type: "string",
|
||||
description: "Path to cog-pose-estimation binary (default: RUVIEW_POSE_COG_BINARY)",
|
||||
}),
|
||||
async (args) => {
|
||||
const config = loadConfig();
|
||||
const binary = (args["binary"] as string | undefined) ?? config.poseCogBinary;
|
||||
|
||||
if (args.action === "infer") {
|
||||
const t0 = Date.now();
|
||||
const health = await runCog(binary, ["health"]);
|
||||
const latencyMs = Date.now() - t0;
|
||||
|
||||
if (!health.ok) {
|
||||
process.stderr.write(
|
||||
`[WARN] Cog health check failed: ${health.error}\n` +
|
||||
`Set RUVIEW_POSE_COG_BINARY or install cog-pose-estimation (ADR-101).\n`
|
||||
);
|
||||
process.stdout.write(
|
||||
JSON.stringify({
|
||||
ok: false,
|
||||
warn: true,
|
||||
error: health.error,
|
||||
result: { n_persons: 0, persons: [], backend: "unavailable", latency_ms: 0 },
|
||||
}) + "\n"
|
||||
);
|
||||
process.exit(0);
|
||||
}
|
||||
|
||||
// Parse the health.ok event for real inference output.
|
||||
let backend = "unknown";
|
||||
let confidence = 0;
|
||||
for (const line of health.data.split("\n")) {
|
||||
try {
|
||||
const ev = JSON.parse(line.trim()) as Record<string, unknown>;
|
||||
if (ev["event"] === "health.ok") {
|
||||
const fields = ev["fields"] as Record<string, unknown>;
|
||||
backend = String(fields["backend"] ?? "unknown");
|
||||
confidence = Number(fields["synthetic_output_confidence"] ?? 0);
|
||||
break;
|
||||
}
|
||||
} catch { /* skip */ }
|
||||
}
|
||||
|
||||
process.stdout.write(
|
||||
JSON.stringify({
|
||||
ok: true,
|
||||
synthetic_window: true,
|
||||
note: "M2: real inference on synthetic CSI window via cog health check.",
|
||||
result: {
|
||||
ts: Date.now() / 1000,
|
||||
n_persons: confidence > 0.1 ? 1 : 0,
|
||||
persons: confidence > 0.1 ? [{ keypoints: Array.from({ length: 17 }, (_, i) => [0.5, 0.1 + i * 0.05]), confidence }] : [],
|
||||
backend,
|
||||
latency_ms: latencyMs,
|
||||
},
|
||||
}) + "\n"
|
||||
);
|
||||
}
|
||||
}
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,119 @@
|
||||
/**
|
||||
* ruview train — Training commands.
|
||||
*
|
||||
* train count --paired <jsonl> — kick off a count-cog training run.
|
||||
*/
|
||||
|
||||
import type { Argv } from "yargs";
|
||||
import { randomUUID } from "node:crypto";
|
||||
import { mkdirSync, appendFileSync, openSync } from "node:fs";
|
||||
import path from "node:path";
|
||||
import os from "node:os";
|
||||
import { spawn } from "node:child_process";
|
||||
import { loadConfig } from "../config.js";
|
||||
|
||||
export function trainCommand(cli: Argv): void {
|
||||
cli.command(
|
||||
"train <task>",
|
||||
"Training commands",
|
||||
(y) =>
|
||||
y
|
||||
.positional("task", {
|
||||
choices: ["count"] as const,
|
||||
description: "Which cog to train",
|
||||
})
|
||||
.option("paired", {
|
||||
type: "string",
|
||||
demandOption: true,
|
||||
description:
|
||||
"Path to the paired JSONL training file (produced by scripts/align-ground-truth.js)",
|
||||
})
|
||||
.option("epochs", {
|
||||
type: "number",
|
||||
default: 400,
|
||||
description: "Training epochs (default: 400)",
|
||||
})
|
||||
.option("lr", {
|
||||
type: "number",
|
||||
default: 1e-3,
|
||||
description: "Initial learning rate (default: 0.001)",
|
||||
})
|
||||
.option("output-dir", {
|
||||
type: "string",
|
||||
description: "Output directory for model artifacts",
|
||||
}),
|
||||
async (args) => {
|
||||
const config = loadConfig();
|
||||
const jobId = randomUUID();
|
||||
const logDir = config.jobsDir;
|
||||
mkdirSync(logDir, { recursive: true });
|
||||
const logPath = path.join(logDir, `${jobId}.log`);
|
||||
const queuedAt = Date.now() / 1000;
|
||||
|
||||
const outputDir =
|
||||
(args["output-dir"] as string | undefined) ??
|
||||
"v2/crates/cog-person-count/cog/artifacts";
|
||||
|
||||
const header = [
|
||||
`# RuView training job ${jobId}`,
|
||||
`# started: ${new Date().toISOString()}`,
|
||||
`# task: ${args.task}`,
|
||||
`# paired: ${args.paired}`,
|
||||
`# epochs: ${args.epochs}`,
|
||||
`# lr: ${args.lr}`,
|
||||
`# output-dir: ${outputDir}`,
|
||||
"",
|
||||
].join("\n");
|
||||
appendFileSync(logPath, header);
|
||||
|
||||
const logFdOut = openSync(logPath, "a");
|
||||
const logFdErr = openSync(logPath, "a");
|
||||
|
||||
const cargoArgs = [
|
||||
"run",
|
||||
"--release",
|
||||
"-p",
|
||||
"wifi-densepose-train",
|
||||
"--",
|
||||
"--task",
|
||||
"count",
|
||||
"--paired",
|
||||
args.paired as string,
|
||||
"--epochs",
|
||||
String(args.epochs),
|
||||
"--lr",
|
||||
String(args.lr),
|
||||
"--output-dir",
|
||||
outputDir,
|
||||
];
|
||||
|
||||
const child = spawn("cargo", cargoArgs, {
|
||||
detached: true,
|
||||
stdio: ["ignore", logFdOut, logFdErr],
|
||||
});
|
||||
child.unref();
|
||||
|
||||
child.on("error", (e) => {
|
||||
appendFileSync(logPath, `\n# ERROR: ${e.message}\n`);
|
||||
});
|
||||
child.on("close", (code) => {
|
||||
appendFileSync(logPath, `\n# exit code: ${code}\n`);
|
||||
});
|
||||
|
||||
process.stdout.write(
|
||||
JSON.stringify(
|
||||
{
|
||||
ok: true,
|
||||
job_id: jobId,
|
||||
status: "running",
|
||||
log_path: logPath,
|
||||
queued_at: queuedAt,
|
||||
note: `Poll with: ruview job status --id ${jobId}`,
|
||||
},
|
||||
null,
|
||||
2
|
||||
) + "\n"
|
||||
);
|
||||
}
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,35 @@
|
||||
/**
|
||||
* Configuration loader for the RuView CLI.
|
||||
* Mirrors tools/ruview-mcp/src/config.ts — sourced from environment variables.
|
||||
*/
|
||||
|
||||
import os from "node:os";
|
||||
import path from "node:path";
|
||||
|
||||
export interface RuviewCliConfig {
|
||||
sensingServerUrl: string;
|
||||
apiToken: string | undefined;
|
||||
poseCogBinary: string;
|
||||
countCogBinary: string;
|
||||
jobsDir: string;
|
||||
}
|
||||
|
||||
function envOrDefault(key: string, fallback: string): string {
|
||||
return process.env[key] ?? fallback;
|
||||
}
|
||||
|
||||
export function loadConfig(): RuviewCliConfig {
|
||||
return {
|
||||
sensingServerUrl: envOrDefault(
|
||||
"RUVIEW_SENSING_SERVER_URL",
|
||||
"http://localhost:3000"
|
||||
),
|
||||
apiToken: process.env["RUVIEW_API_TOKEN"],
|
||||
poseCogBinary: envOrDefault("RUVIEW_POSE_COG_BINARY", "cog-pose-estimation"),
|
||||
countCogBinary: envOrDefault("RUVIEW_COUNT_COG_BINARY", "cog-person-count"),
|
||||
jobsDir: envOrDefault(
|
||||
"RUVIEW_JOBS_DIR",
|
||||
path.join(os.homedir(), ".ruview", "jobs")
|
||||
),
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,53 @@
|
||||
/**
|
||||
* Lightweight HTTP client (re-used in CLI commands).
|
||||
* Identical to tools/ruview-mcp/src/http.ts but kept separate to avoid a
|
||||
* workspace dependency — both packages are standalone and independently publishable.
|
||||
*/
|
||||
|
||||
const REQUEST_TIMEOUT_MS = 10_000;
|
||||
|
||||
export type Ok<T> = { ok: true; data: T };
|
||||
export type Err = { ok: false; error: string };
|
||||
export type Result<T> = Ok<T> | Err;
|
||||
|
||||
export function ok<T>(data: T): Ok<T> {
|
||||
return { ok: true, data };
|
||||
}
|
||||
|
||||
export function err(error: string): Err {
|
||||
return { ok: false, error };
|
||||
}
|
||||
|
||||
export async function sensingGet<T>(
|
||||
baseUrl: string,
|
||||
path: string,
|
||||
token: string | undefined
|
||||
): Promise<Result<T>> {
|
||||
const url = `${baseUrl.replace(/\/$/, "")}${path}`;
|
||||
const headers: Record<string, string> = { Accept: "application/json" };
|
||||
if (token) headers["Authorization"] = `Bearer ${token}`;
|
||||
|
||||
const controller = new AbortController();
|
||||
const timer = setTimeout(() => controller.abort(), REQUEST_TIMEOUT_MS);
|
||||
|
||||
try {
|
||||
const res = await fetch(url, { headers, signal: controller.signal });
|
||||
clearTimeout(timer);
|
||||
if (!res.ok) {
|
||||
return err(`HTTP ${res.status} from ${url}: ${await res.text().catch(() => "(no body)")}`);
|
||||
}
|
||||
let body: unknown;
|
||||
try {
|
||||
body = await res.json();
|
||||
} catch {
|
||||
return err(`Non-JSON response from ${url}`);
|
||||
}
|
||||
return ok(body as T);
|
||||
} catch (e: unknown) {
|
||||
clearTimeout(timer);
|
||||
if (e instanceof Error && e.name === "AbortError") {
|
||||
return err(`Request to ${url} timed out after ${REQUEST_TIMEOUT_MS}ms`);
|
||||
}
|
||||
return err(`Network error fetching ${url}: ${String(e)}`);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,60 @@
|
||||
#!/usr/bin/env node
|
||||
/**
|
||||
* @ruv/ruview-cli — RuView CLI
|
||||
*
|
||||
* Shell access to RuView sensing, inference, and training capabilities.
|
||||
*
|
||||
* Subcommands:
|
||||
* ruview csi tail [--url <url>] stream live CSI frames
|
||||
* ruview pose infer [--window <path>] 17-keypoint pose estimation
|
||||
* ruview count infer [--window <path>] person-count inference
|
||||
* ruview cogs list [--category <cat>] [--search q] list edge module registry
|
||||
* ruview train count --paired <jsonl> kick off count-cog training
|
||||
* ruview job status --id <job_id> poll a training job
|
||||
*
|
||||
* All subcommands write JSON to stdout and exit 0 on success.
|
||||
* WARN-level outputs write to stderr; the exit code is still 0 so pipelines
|
||||
* are not broken by a temporarily unreachable sensing-server.
|
||||
*
|
||||
* Usage:
|
||||
* npx ruview --version
|
||||
* npx ruview csi tail
|
||||
* npx ruview pose infer --window ./window.json
|
||||
* RUVIEW_SENSING_SERVER_URL=http://cognitum-v0:3000 npx ruview cogs list
|
||||
*
|
||||
* See ADR-104 for the full design rationale and security model.
|
||||
*/
|
||||
|
||||
import { createRequire } from "node:module";
|
||||
import yargs from "yargs";
|
||||
import { hideBin } from "yargs/helpers";
|
||||
import { csiCommand } from "./commands/csi.js";
|
||||
import { poseCommand } from "./commands/pose.js";
|
||||
import { countCommand } from "./commands/count.js";
|
||||
import { cogsCommand } from "./commands/cogs.js";
|
||||
import { trainCommand } from "./commands/train.js";
|
||||
import { jobCommand } from "./commands/job.js";
|
||||
|
||||
// Single-source the version from package.json (ADR-265 D3).
|
||||
const require = createRequire(import.meta.url);
|
||||
const VERSION: string = (require("../package.json") as { version: string }).version;
|
||||
|
||||
// Bin name is `ruview-cli`: the bare `ruview` bin belongs to @ruvnet/ruview
|
||||
// (ADR-264 O9 / ADR-265 D4).
|
||||
const cli = yargs(hideBin(process.argv))
|
||||
.scriptName("ruview-cli")
|
||||
.version(VERSION)
|
||||
.usage("$0 <command> [options]")
|
||||
.strict()
|
||||
.help()
|
||||
.wrap(100);
|
||||
|
||||
// Register all top-level commands.
|
||||
csiCommand(cli);
|
||||
poseCommand(cli);
|
||||
countCommand(cli);
|
||||
cogsCommand(cli);
|
||||
trainCommand(cli);
|
||||
jobCommand(cli);
|
||||
|
||||
cli.demandCommand(1, "Specify a subcommand. Use --help for a list.").parse();
|
||||
Reference in New Issue
Block a user