Files
modelstudioai__cli/packages/cli/tests/stress/targets/speech-recognize.mjs
若麒 468b4d710e refactor(flags): scope yes/async/concurrent to command-owned flags
- remove nonInteractive plus yes/async/concurrent from GLOBAL_FLAGS and Settings;
  command dispatch no longer resolves command-only switches into global settings
- add shared ASYNC_FLAG / CONCURRENT_FLAG definitions for commands that actually
  support task-only return or parallel requests
- keep quota downgrade protection by moving --yes onto quota request and reading
  flags.yes for confirmed downgrade submission
- update existing async/concurrent consumers to read own flags; no new capability
  matrix entries are added
- refresh generated command reference and remove stale --non-interactive usage
  from e2e/stress invocations
2026-07-06 20:43:29 +08:00

97 lines
3.1 KiB
JavaScript
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
#!/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"),
"--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>`;
},
},
});