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modelstudioai__cli/packages/cli/tests/stress/targets/speech-recognize.mjs
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#!/usr/bin/env node
/**
* `speech recognize` 并发压测;依赖前置合成的音频 fixtures。
*/
import { readFileSync } from "node:fs";
import { join } from "node:path";
import { defineStressTarget } from "../lib/define-stress-target.mjs";
import { parseAsrOutFile, parseAsrStdoutOnly, extractError } from "../lib/parsers.mjs";
import { escapeHtml, escapeTableCell, getErrorMessage } from "../lib/report.mjs";
export const runStress = defineStressTarget({
canonical: "speech-asr",
defaultModel: "fun-asr",
batchDirPrefix: "speech-asr-batch",
helpText: "pnpm run test:stress -- speech-asr [--reuse-fixtures] -- --count 10",
defaultTimeoutMs: 600_000,
minTimeoutMs: 60_000,
defaultRateLimitMax: 6,
defaultRateLimitWindowMs: 1000,
defaultRetryBaseMs: 4000,
defaultMaxRetries: 3,
hasPollInterval: true,
defaultPollInterval: 2,
fixtureKind: "audio",
resolveFixtureRef: (prerequisites) =>
prerequisites.audio?.url || prerequisites.audio?.saved || prerequisites.audio?.urls?.[0],
fixtureRefErrorMessage: "前置 manifest 缺少音频 URL 或路径",
generatePrompt: (idx) => `[ASR-${idx}-${Date.now().toString(36)}]`,
buildCliArgs: ({ MODEL, CLI_TIMEOUT_SEC, POLL_INTERVAL, fixtureRef, runDir }) => [
"speech",
"recognize",
"--model",
MODEL,
"--url",
String(fixtureRef),
"--poll-interval",
String(POLL_INTERVAL),
"--out",
join(runDir, "asr-result.json"),
"--non-interactive",
"--timeout",
String(CLI_TIMEOUT_SEC),
"--language",
"zh",
],
buildBaseRecord: ({ runDir }) => ({
asrOutPath: join(runDir, "asr-result.json"),
}),
parseStdout: async (stdout, psCtx) => {
const fp = psCtx.asrOutPath;
try {
const raw = readFileSync(fp, "utf8");
const pr = parseAsrOutFile(raw);
if (pr.ok) {
return { ok: true, data: { transcriptNote: `(见 ${fp})`, asrOutPath: fp } };
}
} catch {
// file not found or read failure
}
const so = parseAsrStdoutOnly(stdout);
if (so?.ok) {
return { ok: true, data: { transcriptNote: String(so.data.preview ?? ""), asrOutPath: fp } };
}
return { ok: false, error: "无法从 --out 或 stdout 得到识别正文" };
},
extraReportMeta: ({ fixtureRef }) => ({
extraMdLines: [`- **音频输入**: \`${String(fixtureRef)}\``],
}),
reportSpec: {
titleMd: "语音识别批量压测报告speech recognize",
titleHtml: "语音识别批量压测报告speech recognize",
promptColumnMd: "任务标记",
promptColumnHtml: "任务标记",
outcomeColumnMd: "结果",
outcomeColumnHtml: "结果",
formatOutcomeMd: (r) => {
if (r.status === "success") {
return escapeTableCell(String(r.transcriptNote ?? r.asrOutPath ?? "—"));
}
return escapeTableCell(getErrorMessage(r, extractError));
},
formatOutcomeHtml: (r) => {
if (r.status === "success") {
return `<code class="path">${escapeHtml(String(r.transcriptNote ?? r.asrOutPath ?? ""))}</code>`;
}
return `<span class="outcome-error">${escapeHtml(getErrorMessage(r, extractError))}</span>`;
},
},
});