nanakura
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- Remove stage-tamagotchi, stage-pocket, server, and engine workspaces with their workflows, addons, and docs - Switch the toolchain from pnpm to bun, replace lockfiles with bun.lock - Rewrite remaining product references to Moeka
85 lines
3.5 KiB
TypeScript
85 lines
3.5 KiB
TypeScript
import { describe, expect, it } from '../../src'
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import { configureModuleHearing, configureOnboarding, loadCaseEnvironment } from '../shared/configurations'
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import { enableChatMicrophone } from '../shared/interactions'
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import { aliyunNlsAsr, openaiAsr } from '../shared/providers'
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describe('audio input pipeline', () => {
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// The fixture uses the repository recording at docs/content/en/blog/DevLog-2025.03.20/assets/ashley-pitch-test.mp3.
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// It has 20 seconds of leading silence and 4 seconds of trailing silence in mono 16 kHz PCM WAV format.
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it('does not preserve the complete phrase after long leading silence', {
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input: new URL('./input.test.wav', import.meta.url),
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// This regression isolates Moeka's default VAD and one explicit ASR Provider.
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preflight: [
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configureOnboarding(() => ({ completed: true })),
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configureModuleHearing(async (context) => {
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const environment = await loadCaseEnvironment(context.env)
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const apiKey = environment.TESTING_AUDIO_ASR_API_KEY
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context.skip(!apiKey, 'Set TESTING_AUDIO_ASR_API_KEY to run this ASR case.')
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if (!apiKey)
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return undefined
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return {
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provider: openaiAsr({
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apiKey,
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baseUrl: environment.TESTING_AUDIO_ASR_API_BASE_URL ?? 'https://api.openai.com/v1/',
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model: environment.TESTING_AUDIO_ASR_MODEL ?? 'whisper-1',
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provider: environment.TESTING_AUDIO_ASR_PROVIDER ?? 'openai-compatible-audio-transcription',
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}),
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captureFormat: 'wav',
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}
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}),
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],
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}, async ({ audio }) => {
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await enableChatMicrophone(audio)
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if (audio.transcriptionCaptureFormat) {
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await expect(audio).toHaveCapturedTranscriptionAudio({
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count: 1,
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minimumBytes: 8000,
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})
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}
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// The VAD upload currently drops part of the sentence before it sends the recording to ASR.
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await expect(audio).not.toHaveTranscriptions([
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['There is no meaning to your existence, just let go.'],
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])
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await expect(audio).toHaveCompletedTranscription()
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})
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it('does not preserve the complete phrase with Aliyun NLS', {
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input: new URL('./input.test.wav', import.meta.url),
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preflight: [
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configureOnboarding(() => ({ completed: true })),
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configureModuleHearing(async (context) => {
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const environment = await loadCaseEnvironment(context.env)
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const provider = environment.TESTING_AUDIO_ASR_ALIYUN_NLS_PROVIDER
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const accessKeyId = environment.TESTING_AUDIO_ASR_ALIYUN_NLS_ALIYUN_AK_ID
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const accessKeySecret = environment.TESTING_AUDIO_ASR_ALIYUN_NLS_ALIYUN_AK_SECRET
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const appKey = environment.TESTING_AUDIO_ASR_ALIYUN_NLS_APPKEY
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context.skip(
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!provider || !accessKeyId || !accessKeySecret || !appKey,
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'Set all TESTING_AUDIO_ASR_ALIYUN_NLS_* variables to run this ASR case.',
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)
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if (!provider || !accessKeyId || !accessKeySecret || !appKey)
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return undefined
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return {
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provider: aliyunNlsAsr({ provider, accessKeyId, accessKeySecret, appKey }),
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captureFormat: 'pcm',
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}
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}),
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],
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}, async ({ audio }) => {
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await enableChatMicrophone(audio, { readiness: 'streaming-transcription' })
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await expect(audio).toHaveCapturedTranscriptionAudio({
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count: 1,
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minimumBytes: 8000,
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})
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await expect(audio).not.toHaveTranscriptions([
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['There is no meaning to your existence, just let go.'],
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])
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await expect(audio).toHaveCompletedTranscription()
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})
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})
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