Merge branch 'nanin/develop' into develop

This commit is contained in:
Wxw-Gu
2026-08-13 15:08:42 +08:00
19 changed files with 1172 additions and 171 deletions
+3 -3
View File
@@ -2,7 +2,7 @@
"name": "tracememo",
"version": "2.2.0",
"packageManager": "pnpm@7.33.7",
"description": "macOS / Windows 本地优先、可追溯的 AI 微信知识与分析工作台",
"description": "TraceMemo(迹忆)是一款本地优先、可追溯的 AI 微信知识与分析工作台。 原名 WechatExplorer,支持聊天记录搜索、知识库、AI 总结和 Agent 助手。",
"keywords": [
"wechat",
"wechat chat",
@@ -20,7 +20,7 @@
"author": "Qingmao",
"repository": {
"type": "git",
"url": "https://github.com/Wxw-Gu/WechatExplorer.git"
"url": "https://github.com/Wxw-Gu/TraceMemo.git"
},
"main": "./out/main/index.js",
"scripts": {
@@ -135,4 +135,4 @@
"ffmpeg-static"
]
}
}
}
+59 -4
View File
@@ -18,8 +18,10 @@ import {
type UserDataSelection
} from './app-data-paths'
import type { LegacySecretBundle } from './legacy-safe-storage-helper'
import { SqliteTranscriptRepository } from './voice-pipeline/transcript-repository'
const MIGRATION_STATE_FILE = 'tracememo-migration-v1.json'
const VOICE_TRANSCRIPT_CACHE_ITEM = 'cache/voice-transcripts.sqlite'
const TOKEN_MIGRATION_BLOCK_MESSAGE =
'检测到旧版 API Token 尚未完成迁移。请重试数据迁移,或在 API Center 主动重新生成 Token。'
@@ -289,6 +291,24 @@ async function copyDirectoryWithoutOverwrite(
return 'migrated'
}
export async function migrateLegacyVoiceTranscripts(
sourceRoot: string,
targetRoot: string
): Promise<MigrationItemStatus> {
const relativePath = path.join('cache', 'voice-transcripts.sqlite')
const sourcePath = path.join(sourceRoot, relativePath)
const targetPath = path.join(targetRoot, relativePath)
if (!(await fs.pathExists(sourcePath))) return 'missing'
if (path.resolve(sourcePath) === path.resolve(targetPath)) return 'skipped'
const repository = new SqliteTranscriptRepository(targetPath)
try {
return repository.mergeFrom(sourcePath) > 0 ? 'migrated' : 'skipped'
} finally {
repository.close()
}
}
async function writeEncryptedWithoutOverwrite(
targetRoot: string,
relativePath: string,
@@ -472,6 +492,9 @@ export async function executeMigration(
copyDirectoryWithoutOverwrite(sourceRoot, targetRoot, relativePath, stagingRoot)
)
}
await runItem(VOICE_TRANSCRIPT_CACHE_ITEM, () =>
migrateLegacyVoiceTranscripts(sourceRoot, targetRoot)
)
const agentRoots = dependencies.agentRoots()
await runItem('agent-credentials', () => copyMissingTree(agentRoots.legacy, agentRoots.current))
@@ -528,7 +551,9 @@ export async function executeMigration(
await fs.remove(stagingRoot).catch(() => undefined)
}
const failed = Object.values(items).some((status) => status === 'failed')
const failed = Object.entries(items).some(
([name, status]) => name !== VOICE_TRANSCRIPT_CACHE_ITEM && status === 'failed'
)
state.status = failed || secretFailures.length > 0 ? 'partial' : 'completed'
state.updatedAt = timestamp()
state.secretFailures = Array.from(new Set(secretFailures))
@@ -592,6 +617,38 @@ function closeMigrationProgress(window: BrowserWindow | null): void {
export async function runFirstLaunchMigration(roots: UserDataRoots): Promise<MigrationFlowResult> {
const assessment = assessMigration(roots)
const voiceMigrationStatus = assessment.state?.items[VOICE_TRANSCRIPT_CACHE_ITEM]
const needsVoiceBackfill = !voiceMigrationStatus
if (
assessment.reason === 'migration-completed' &&
assessment.sourceRoot &&
assessment.state &&
needsVoiceBackfill
) {
const state: MigrationState = {
...assessment.state,
items: { ...assessment.state.items },
updatedAt: new Date().toISOString()
}
try {
state.items[VOICE_TRANSCRIPT_CACHE_ITEM] = await migrateLegacyVoiceTranscripts(
assessment.sourceRoot,
roots.current
)
} catch {
state.items[VOICE_TRANSCRIPT_CACHE_ITEM] = 'failed'
}
await writeMigrationState(roots.current, state)
return {
assessment: { ...assessment, state },
action: state.items[VOICE_TRANSCRIPT_CACHE_ITEM] === 'migrated' ? 'migrated' : 'none',
execution: {
state,
tokenGenerationBlocked: false
},
tokenGenerationBlocked: false
}
}
if (!assessment.shouldPrompt || !assessment.sourceRoot) {
return { assessment, action: 'none', tokenGenerationBlocked: false }
}
@@ -649,9 +706,7 @@ export async function runFirstLaunchMigration(roots: UserDataRoots): Promise<Mig
type: execution.state.status === 'completed' ? ('info' as const) : ('warning' as const),
title: 'TraceMemo 数据迁移',
message:
execution.state.status === 'completed'
? 'WechatExplorer 数据迁移完成'
: '部分数据未能迁移',
execution.state.status === 'completed' ? 'WechatExplorer 数据迁移完成' : '部分数据未能迁移',
detail:
execution.state.status === 'completed'
? '核心用户资产已复制到 TraceMemo。旧目录仍完整保留。'
+2 -1
View File
@@ -131,7 +131,8 @@ export function hasValidUserAssets(root: string): boolean {
'wechat-db-key.bin',
'wechat-image-keys.bin',
'image-insights.json',
'wechat-share-service.bin'
'wechat-share-service.bin',
path.join('cache', 'voice-transcripts.sqlite')
]
if (markers.some((marker) => isNonEmptyFile(path.join(root, marker)))) return true
if (hasKnowledgeDatabase(root)) return true
+17 -2
View File
@@ -995,6 +995,19 @@ const renderExportScript = (name: string): string => `
message.contentData && forwardedSearchText(message.contentData.items),
message.exportMediaName
].filter(Boolean).join(' ').toLowerCase()
const exportedImageOrVideoFileStem = (message) => {
const mediaType = message.exportMediaType || (message.contentData && message.contentData.type)
if (mediaType !== 'image' && mediaType !== 'video') return ''
const mediaUrl = String(message.exportMediaUrl || '').split(/[?#]/, 1)[0]
const fileName = mediaUrl.slice(mediaUrl.lastIndexOf('/') + 1)
if (!fileName) return ''
let decodedFileName = fileName
try {
decodedFileName = decodeURIComponent(fileName)
} catch {}
const extensionIndex = decodedFileName.lastIndexOf('.')
return (extensionIndex > 0 ? decodedFileName.slice(0, extensionIndex) : decodedFileName).toLowerCase()
}
const shareLabel = (typeVal) => {
if (String(typeVal) === '5') return '公众号链接'
@@ -1516,7 +1529,9 @@ const renderExportScript = (name: string): string => `
return allMessages.filter((message) =>
(activeConversation === 'all' || message.exportConversationId === activeConversation) &&
(activeKind === 'all' || kindOf(message) === activeKind) &&
(!term || searchText(message).includes(term))
(!term ||
searchText(message).includes(term) ||
exportedImageOrVideoFileStem(message) === term)
)
}
const applyFilters = (restorePosition = false) => {
@@ -1779,7 +1794,7 @@ export function renderExportPage(name: string): string {
</div>
</div>
<div class="controls">
<input id="query" type="search" placeholder="搜索发送者消息内容…" aria-label="搜索消息">
<input id="query" type="search" placeholder="搜索发送者消息内容或媒体文件名(不含后缀)…" aria-label="搜索消息">
</div>
<div class="filters" id="filters">
<button class="filter-button active" type="button" data-kind="all">全部</button>
+155 -66
View File
@@ -275,6 +275,8 @@ const mergeArchiveMessage = (previous: Message, current: Message): Message => {
if (!current.exportMediaUrl && !current.voiceDataUrl && previous.exportMediaError) {
merged.exportMediaError = previous.exportMediaError
}
if (merged.voiceDataUrl) delete merged.exportMediaError
if (merged.voiceTranscript) delete merged.voiceTranscriptError
return merged
}
@@ -754,7 +756,8 @@ const preserveLegacyCombinedArchive = async (outputDir: string): Promise<void> =
async function runSingleExport(
request: ExportRequest,
win: BrowserWindow,
voiceRecognition?: Pick<VoiceRecognitionUseCase, 'recognize'>,
voiceRecognition?: Pick<VoiceRecognitionUseCase, 'recognize'> &
Partial<Pick<VoiceRecognitionUseCase, 'publishTranscript'>>,
options: SingleExportOptions = {}
): Promise<ExportResult> {
const manageJob = options.manageJob !== false
@@ -1083,89 +1086,173 @@ async function runSingleExport(
total: voiceMessages.length,
percent: 20
})
for (const [voiceIndex, message] of voiceMessages.entries()) {
if (!jobs.has(request.jobId)) throw new Error('已取消')
const previous = reusablePreviousMessages.get(message)
let canTranscribe = true
if (previous?.voiceDataUrl && (await resourceExists(previous.voiceDataUrl))) {
message.voiceDataUrl = previous.voiceDataUrl
message.voiceDuration = previous.voiceDuration
if (request.includeVoiceTranscripts && previous.voiceTranscript) {
message.voiceTranscript = previous.voiceTranscript
const voiceIndexUpdates = new Map<
string,
{
reference: {
sessionId: string
localId: number
createTime: number
svrId?: string | number
}
} else if (!message.sessionId || message.localId == null || !message.createTime) {
keepMediaError(request, message, '语音标识不完整,无法定位本地语音')
canTranscribe = false
} else {
try {
const voice = await voiceService.resolveVoice(
message.sessionId,
message.localId,
message.createTime,
message.serverId
)
if (!voice.success || !voice.data) {
const detail = voice.error || '未知原因'
const reason = /未找到|不存在|获取语音数据失败/.test(detail)
? `${detail}`
: /Silk|解码|数据为空/.test(detail)
? `${detail}`
: `${detail}`
keepMediaError(request, message, reason)
canTranscribe = false
} else {
const audioBuffer = Buffer.from(voice.data, 'base64')
const voiceName = `voice_${bufferHashPart(audioBuffer)}.wav`
const voiceUrl = `voices/${voiceName}`
if (!(await resourceExists(voiceUrl))) {
await fs.writeFile(join(outputDir, 'voices', voiceName), audioBuffer)
markResourceExists(voiceUrl)
transcript: string
cached: boolean
}
>()
const batchSize = 16
for (let batchStart = 0; batchStart < voiceMessages.length; batchStart += batchSize) {
const batch = voiceMessages.slice(batchStart, batchStart + batchSize)
const mediaItems: Array<{
message: Message
reference: {
sessionId: string
localId: number
createTime: number
svrId?: string | number
}
}> = []
for (const message of batch) {
if (!jobs.has(request.jobId)) throw new Error('已取消')
const previous = reusablePreviousMessages.get(message)
const hasVoiceIdentity = Boolean(
message.sessionId && message.localId != null && message.createTime
)
const reference = hasVoiceIdentity
? {
sessionId: message.sessionId!,
localId: message.localId!,
createTime: message.createTime!,
svrId: message.serverId
}
message.voiceDataUrl = voiceUrl
message.voiceDuration = Math.max(1, Math.round(audioBuffer.length / (24000 * 2)))
: null
if (previous?.voiceDataUrl && (await resourceExists(previous.voiceDataUrl))) {
message.voiceDataUrl = previous.voiceDataUrl
message.voiceDuration = previous.voiceDuration
if (request.includeVoiceTranscripts && previous.voiceTranscript) {
message.voiceTranscript = previous.voiceTranscript
}
}
if (request.includeVoiceTranscripts && !message.voiceTranscript) {
if (!reference) {
message.voiceTranscriptError = '语音标识不完整,无法转文字'
} else if (!voiceRecognition) {
message.voiceTranscriptError = '语音转文字服务不可用'
} else {
try {
const recognition = await voiceRecognition.recognize(
reference,
voiceRecognition.publishTranscript
? { publishTranscriptUpdate: false }
: undefined
)
if (recognition.success) {
message.voiceTranscript = recognition.transcript?.trim() || '未识别出文字'
if (voiceRecognition.publishTranscript && recognition.transcript?.trim()) {
voiceIndexUpdates.set(reference.sessionId, {
reference,
transcript: recognition.transcript.trim(),
cached: Boolean(recognition.cached)
})
}
} else {
message.voiceTranscriptError = recognition.error || '语音识别失败'
}
} catch (error) {
message.voiceTranscriptError =
error instanceof Error ? error.message : '语音识别失败'
}
}
}
if (
request.includeVoiceTranscripts &&
reference &&
message.voiceTranscript &&
voiceRecognition?.publishTranscript &&
!voiceIndexUpdates.has(reference.sessionId)
) {
voiceIndexUpdates.set(reference.sessionId, {
reference,
transcript: message.voiceTranscript,
cached: true
})
}
if (!message.voiceDataUrl) {
if (!reference) {
keepMediaError(request, message, '语音标识不完整,无法定位本地语音')
} else {
mediaItems.push({ message, reference })
}
}
}
const voices =
typeof voiceService.resolveVoices === 'function'
? await voiceService.resolveVoices(mediaItems.map((item) => item.reference))
: await Promise.all(
mediaItems.map(({ reference }) =>
voiceService.resolveVoice(
reference.sessionId,
reference.localId,
reference.createTime,
reference.svrId
)
)
)
for (const [{ message }, voice] of mediaItems.map(
(item, index) => [item, voices[index]] as const
)) {
if (!voice?.success || !voice.data) {
const detail = voice?.error || '未知原因'
const reason = /未找到|不存在|获取语音数据失败/.test(detail)
? `${detail}`
: /Silk|解码|数据为空/.test(detail)
? `${detail}`
: `${detail}`
keepMediaError(request, message, reason)
continue
}
try {
const audioBuffer = Buffer.from(voice.data, 'base64')
const voiceName = `voice_${bufferHashPart(audioBuffer)}.wav`
const voiceUrl = `voices/${voiceName}`
if (!(await resourceExists(voiceUrl))) {
await fs.writeFile(join(outputDir, 'voices', voiceName), audioBuffer)
markResourceExists(voiceUrl)
}
message.voiceDataUrl = voiceUrl
message.voiceDuration = Math.max(1, Math.round(audioBuffer.length / (24000 * 2)))
} catch (error) {
keepMediaError(
request,
message,
`${error instanceof Error ? error.message : String(error)}`
)
canTranscribe = false
}
}
if (request.includeVoiceTranscripts && canTranscribe && !message.voiceTranscript) {
if (!voiceRecognition) {
message.voiceTranscriptError = '语音转文字服务不可用'
} else {
try {
const recognition = await voiceRecognition.recognize({
sessionId: message.sessionId!,
localId: message.localId!,
createTime: message.createTime!,
svrId: message.serverId
})
if (recognition.success) {
message.voiceTranscript = recognition.transcript?.trim() || '未识别出文字'
} else {
message.voiceTranscriptError = recognition.error || '语音识别失败'
}
} catch (error) {
message.voiceTranscriptError =
error instanceof Error ? error.message : '语音识别失败'
}
}
}
const processedVoices = Math.min(batchStart + batch.length, voiceMessages.length)
send({
jobId: request.jobId,
phase: voicePhase,
processed: voiceIndex + 1,
processed: processedVoices,
total: voiceMessages.length,
percent:
20 +
Math.round(
((voiceIndex + 1) / Math.max(voiceMessages.length, 1)) * (voiceProgressEnd - 20)
(processedVoices / Math.max(voiceMessages.length, 1)) * (voiceProgressEnd - 20)
)
})
await new Promise<void>((resolve) => setImmediate(resolve))
}
for (const update of voiceIndexUpdates.values()) {
try {
await voiceRecognition?.publishTranscript?.(
update.reference,
update.transcript,
update.cached
)
} catch (error) {
console.warn('[Export] voice transcript index refresh failed:', error)
}
}
} else if (request.includeMedia) {
for (const message of messages) {
@@ -1500,7 +1587,8 @@ async function runSingleExport(
async function runAllExport(
request: ExportRequest,
win: BrowserWindow,
voiceRecognition?: Pick<VoiceRecognitionUseCase, 'recognize'>
voiceRecognition?: Pick<VoiceRecognitionUseCase, 'recognize'> &
Partial<Pick<VoiceRecognitionUseCase, 'publishTranscript'>>
): Promise<ExportResult> {
jobs.add(request.jobId)
const send = (progress: ExportJobProgress): void => {
@@ -1674,7 +1762,8 @@ async function runAllExport(
export async function runExport(
request: ExportRequest,
win: BrowserWindow,
voiceRecognition?: Pick<VoiceRecognitionUseCase, 'recognize'>
voiceRecognition?: Pick<VoiceRecognitionUseCase, 'recognize'> &
Partial<Pick<VoiceRecognitionUseCase, 'publishTranscript'>>
): Promise<ExportResult> {
return request.scope === 'all'
? runAllExport(request, win, voiceRecognition)
@@ -10,6 +10,7 @@ export interface PcmProcessorOptions {
}
export class PcmAudioProcessor implements AudioProcessor {
readonly version = VOICE_PROCESSOR_VERSION
private readonly targetSampleRate: number
private readonly silenceThreshold: number
private readonly silencePaddingMs: number
+109 -32
View File
@@ -1,17 +1,40 @@
import { dirname } from 'path'
import { mkdirSync } from 'fs'
import { DatabaseSync } from 'node:sqlite'
import type {
TranscriptMessageStatus,
TranscriptRecord,
TranscriptRepository
} from './types'
import type { TranscriptMessageStatus, TranscriptRecord, TranscriptRepository } from './types'
type TranscriptKey = Omit<
TranscriptRecord,
'transcript' | 'language' | 'durationMs' | 'createdAt' | 'updatedAt'
>
type CompatibleTranscriptKey = Pick<
TranscriptRecord,
| 'accountId'
| 'messageIdentity'
| 'processorVersion'
| 'recognizerId'
| 'modelVersion'
| 'modelFingerprint'
>
function transcriptRecord(row: Record<string, unknown>): TranscriptRecord {
return {
accountId: String(row.account_id),
messageIdentity: String(row.message_identity),
audioHash: String(row.audio_hash),
processorVersion: String(row.processor_version),
recognizerId: String(row.recognizer_id),
modelVersion: String(row.model_version),
modelFingerprint: String(row.model_fingerprint),
transcript: String(row.transcript),
language: row.language ? String(row.language) : undefined,
durationMs: Number(row.duration_ms),
createdAt: Number(row.created_at),
updatedAt: Number(row.updated_at)
}
}
export class SqliteTranscriptRepository implements TranscriptRepository {
private readonly database: DatabaseSync
@@ -70,20 +93,7 @@ export class SqliteTranscriptRepository implements TranscriptRepository {
key.modelFingerprint
) as Record<string, unknown> | undefined
if (!row) return null
return {
accountId: String(row.account_id),
messageIdentity: String(row.message_identity),
audioHash: String(row.audio_hash),
processorVersion: String(row.processor_version),
recognizerId: String(row.recognizer_id),
modelVersion: String(row.model_version),
modelFingerprint: String(row.model_fingerprint),
transcript: String(row.transcript),
language: row.language ? String(row.language) : undefined,
durationMs: Number(row.duration_ms),
createdAt: Number(row.created_at),
updatedAt: Number(row.updated_at)
}
return transcriptRecord(row)
}
findLatest(accountId: string, messageIdentity: string): TranscriptRecord | null {
@@ -99,19 +109,86 @@ export class SqliteTranscriptRepository implements TranscriptRepository {
)
.get(accountId, messageIdentity) as Record<string, unknown> | undefined
if (!row) return null
return {
accountId: String(row.account_id),
messageIdentity: String(row.message_identity),
audioHash: String(row.audio_hash),
processorVersion: String(row.processor_version),
recognizerId: String(row.recognizer_id),
modelVersion: String(row.model_version),
modelFingerprint: String(row.model_fingerprint),
transcript: String(row.transcript),
language: row.language ? String(row.language) : undefined,
durationMs: Number(row.duration_ms),
createdAt: Number(row.created_at),
updatedAt: Number(row.updated_at)
return transcriptRecord(row)
}
findCompatible(key: CompatibleTranscriptKey): TranscriptRecord | null {
const row = this.database
.prepare(
`SELECT account_id, message_identity, audio_hash, processor_version,
recognizer_id, model_version, model_fingerprint, transcript,
language, duration_ms, created_at, updated_at
FROM voice_transcripts
WHERE account_id = ? AND message_identity = ? AND processor_version = ?
AND recognizer_id = ? AND model_version = ? AND model_fingerprint = ?
AND trim(transcript) <> ''
ORDER BY updated_at DESC
LIMIT 1`
)
.get(
key.accountId,
key.messageIdentity,
key.processorVersion,
key.recognizerId,
key.modelVersion,
key.modelFingerprint
) as Record<string, unknown> | undefined
return row ? transcriptRecord(row) : null
}
mergeFrom(databasePath: string): number {
this.database.prepare('ATTACH DATABASE ? AS legacy_voice').run(databasePath)
try {
const hasTranscripts = this.database
.prepare(
`SELECT 1 FROM legacy_voice.sqlite_master
WHERE type = 'table' AND name = 'voice_transcripts'`
)
.get()
if (!hasTranscripts)
throw new Error('Legacy voice transcript database has no transcript table')
this.database.exec('BEGIN IMMEDIATE')
try {
this.database.exec(`
INSERT OR IGNORE INTO main.voice_transcripts (
account_id, message_identity, audio_hash, processor_version,
recognizer_id, model_version, model_fingerprint, transcript,
language, duration_ms, created_at, updated_at
)
SELECT account_id, message_identity, audio_hash, processor_version,
recognizer_id, model_version, model_fingerprint, transcript,
language, duration_ms, created_at, updated_at
FROM legacy_voice.voice_transcripts
WHERE trim(transcript) <> ''
`)
const inserted = Number(
(
this.database.prepare('SELECT changes() AS count').get() as
| Record<string, unknown>
| undefined
)?.count || 0
)
this.database.exec(`
INSERT INTO main.voice_transcript_message_states (
account_id, message_identity, state, error, updated_at
)
SELECT account_id, message_identity, 'transcribed', NULL, MAX(updated_at)
FROM legacy_voice.voice_transcripts
WHERE trim(transcript) <> ''
GROUP BY account_id, message_identity
ON CONFLICT (account_id, message_identity) DO UPDATE SET
state = 'transcribed', error = NULL, updated_at = excluded.updated_at
WHERE excluded.updated_at > voice_transcript_message_states.updated_at
`)
this.database.exec('COMMIT')
return inserted
} catch (error) {
this.database.exec('ROLLBACK')
throw error
}
} finally {
this.database.exec('DETACH DATABASE legacy_voice')
}
}
+12
View File
@@ -43,6 +43,7 @@ export class SpeechRecognizerRegistry {
}
export interface AudioProcessor {
readonly version: string
process(input: {
pcm: Buffer
sampleRate: number
@@ -87,6 +88,17 @@ export interface TranscriptRepository {
>
): TranscriptRecord | null
findLatest(accountId: string, messageIdentity: string): TranscriptRecord | null
findCompatible(
key: Pick<
TranscriptRecord,
| 'accountId'
| 'messageIdentity'
| 'processorVersion'
| 'recognizerId'
| 'modelVersion'
| 'modelFingerprint'
>
): TranscriptRecord | null
getMessageStatus(accountId: string, messageIdentity: string): TranscriptMessageStatus
save(record: TranscriptRecord): void
markFailure(accountId: string, messageIdentity: string, error: string): void
+16 -1
View File
@@ -39,13 +39,28 @@ export class VoicePipeline {
reference: VoiceMessageReference,
signal?: AbortSignal
): Promise<{ transcript: string; language?: string; durationMs: number; cached: boolean }> {
const messageIdentity = voiceMessageIdentity(reference)
const compatible = this.transcripts.findCompatible({
accountId,
messageIdentity,
processorVersion: this.audioProcessor.version,
...this.recognizer.metadata
})
if (compatible?.transcript.trim()) {
return {
transcript: compatible.transcript.trim(),
language: compatible.language,
durationMs: compatible.durationMs,
cached: true
}
}
const source = await this.sourceResolver.resolve(reference)
if (signal?.aborted) throw new DOMException('Recognition cancelled', 'AbortError')
const decoded = await this.decoderRegistry.decode(source)
if (signal?.aborted) throw new DOMException('Recognition cancelled', 'AbortError')
const audio = this.audioProcessor.process(decoded)
if (audio.samples.length === 0) throw new Error('Voice audio is empty after processing')
const messageIdentity = voiceMessageIdentity(reference)
const key = {
accountId,
messageIdentity,
@@ -97,36 +97,44 @@ export class VoiceRecognitionUseCase {
const generation = this.accountGeneration
const accountIdentity = this.accountId
return this.scheduler
.schedule(key, async (signal) => {
const status = await this.modelManager.getStatus()
if (status.state !== 'ready') {
return { success: false, code: 'MODEL_NOT_READY', error: '请先下载语音识别模型' } as const
}
const result = await pipeline.run(accountId, reference, signal)
if (signal.aborted || !this.isCurrentAccount(accountId, generation)) {
throw new DOMException('Recognition cancelled', 'AbortError')
}
const transcript = result.transcript.trim()
if (
transcript &&
options?.publishTranscriptUpdate !== false &&
this.isCurrentAccount(accountId, generation)
) {
try {
await this.publishTranscriptUpdate({
accountIdentity,
reference,
messageIdentity: voiceMessageIdentity(reference),
state: 'transcribed',
transcript,
cached: result.cached
})
} catch (error) {
console.warn('[Voice] transcript indexed asynchronously failed:', error)
.schedule(
key,
async (signal) => {
const status = await this.modelManager.getStatus()
if (status.state !== 'ready') {
return {
success: false,
code: 'MODEL_NOT_READY',
error: '请先下载语音识别模型'
} as const
}
}
return { success: true, ...result, transcript } as const
}, { priority: options?.priority })
const result = await pipeline.run(accountId, reference, signal)
if (signal.aborted || !this.isCurrentAccount(accountId, generation)) {
throw new DOMException('Recognition cancelled', 'AbortError')
}
const transcript = result.transcript.trim()
if (
transcript &&
options?.publishTranscriptUpdate !== false &&
this.isCurrentAccount(accountId, generation)
) {
try {
await this.publishTranscriptUpdate({
accountIdentity,
reference,
messageIdentity: voiceMessageIdentity(reference),
state: 'transcribed',
transcript,
cached: result.cached
})
} catch (error) {
console.warn('[Voice] transcript indexed asynchronously failed:', error)
}
}
return { success: true, ...result, transcript } as const
},
{ priority: options?.priority }
)
.catch((error): VoiceRecognitionResult => {
if (error instanceof DOMException && error.name === 'AbortError') {
return { success: false, code: 'CANCELLED', error: '语音识别已取消' }
@@ -173,18 +181,25 @@ export class VoiceRecognitionUseCase {
}
async publishTranscriptSnapshot(reference: VoiceMessageReference): Promise<void> {
const accountIdentity = this.accountId
if (!accountIdentity) return
const snapshot = this.getTranscriptSnapshot(reference)
if (snapshot.state === 'pending') return
await this.publishTranscript(reference, snapshot.transcript, snapshot.state === 'transcribed')
}
async publishTranscript(
reference: VoiceMessageReference,
transcript?: string,
cached = true
): Promise<void> {
const accountIdentity = this.accountId
if (!accountIdentity || !transcript?.trim()) return
await this.publishTranscriptUpdate({
accountIdentity,
reference,
messageIdentity: voiceMessageIdentity(reference),
state: snapshot.state,
transcript: snapshot.transcript,
error: snapshot.error,
cached: snapshot.state === 'transcribed'
state: 'transcribed',
transcript: transcript.trim(),
cached
})
}
+84
View File
@@ -27,6 +27,13 @@ export type ResolveSourceResult =
| { success: true; source: EncodedVoiceSource }
| { success: false; error: string }
export interface VoiceReference {
sessionId: string
localId: number
createTime: number
svrId?: string | number
}
export class VoiceService {
private wcdb4Client: Wcdb4Client
private voiceCache = new Map<string, string>()
@@ -70,6 +77,83 @@ export class VoiceService {
return { success: true, data: base64Data }
}
async resolveVoices(
references: VoiceReference[]
): Promise<Array<{ success: boolean; data?: string; error?: string }>> {
const results: Array<{ success: boolean; data?: string; error?: string } | undefined> =
new Array(references.length)
const missing: Array<{ index: number; reference: VoiceReference }> = []
references.forEach((reference, index) => {
const cached = this.voiceCache.get(
this.buildCacheKey(reference.sessionId, reference.localId, reference.createTime)
)
if (cached) results[index] = { success: true, data: cached }
else missing.push({ index, reference })
})
if (!missing.length)
return results as Array<{ success: boolean; data?: string; error?: string }>
const sources = await this.wcdb4Client.getVoiceDataBatch(
missing.map(({ reference }) => ({
sessionId: reference.sessionId,
createTime: reference.createTime,
localId: reference.localId,
svrId: reference.svrId,
candidates: this.buildCandidates(reference.sessionId)
}))
)
const failed: Array<{ index: number; reference: VoiceReference }> = []
for (const [{ index, reference }, source] of missing.map(
(item, sourceIndex) => [item, sources[sourceIndex]] as const
)) {
if (!source?.success || !source.hex) {
failed.push({ index, reference })
continue
}
const silkData = this.decodeVoiceBlob(source.hex)
if (!silkData?.length) {
results[index] = { success: false, error: '语音数据为空' }
continue
}
try {
const decoded = await this.decoderRegistry.decode({
data: silkData,
codec: 'silk',
sourceHash: createHash('sha256').update(silkData).digest('hex')
})
const wavData = this.createWavBuffer(decoded.pcm, 24000)
const data = wavData.toString('base64')
const cacheKey = this.buildCacheKey(
reference.sessionId,
reference.localId,
reference.createTime
)
this.voiceCache.set(cacheKey, data)
this.pcmCache.set(cacheKey, { ...decoded, codec: 'silk' })
results[index] = { success: true, data }
} catch (error) {
results[index] = {
success: false,
error: error instanceof Error ? error.message : 'Silk 解码失败'
}
}
}
const retried = await Promise.all(
failed.map(({ reference }) =>
this.resolveVoice(
reference.sessionId,
reference.localId,
reference.createTime,
reference.svrId
)
)
)
failed.forEach(({ index }, retryIndex) => {
results[index] = retried[retryIndex]
})
return results as Array<{ success: boolean; data?: string; error?: string }>
}
async resolvePcm(
sessionId: string,
localId: number,
+112 -17
View File
@@ -250,6 +250,20 @@ type KoffiAsyncFunction = ((...args: unknown[]) => unknown) & {
type WcdbVoidOut = [unknown]
type WcdbHandleOut = [number]
export interface Wcdb4VoiceDataRequest {
sessionId: string
createTime: number
candidates: string[]
localId?: number
svrId?: string | number
}
export interface Wcdb4VoiceDataResult {
success: boolean
hex?: string
error: string
}
const nodeRequire = createRequire(import.meta.url)
function isAsciiPath(value: string): boolean {
@@ -409,6 +423,7 @@ export class Wcdb4Client {
outHex: WcdbVoidOut
) => number)
| null = null
private wcdbGetVoiceDataBatch: KoffiAsyncFunction | null = null
private wcdbResolveImageHardlink:
| ((handle: number, md5: string, accountDir: string, outJson: WcdbVoidOut) => number)
| null = null
@@ -1953,32 +1968,104 @@ export class Wcdb4Client {
}
const handle = this.ensureHandle()
const outHex: WcdbVoidOut = [null]
try {
const result = this.wcdbGetVoiceData(
const fn = this.wcdbGetVoiceData as unknown as KoffiAsyncFunction
return this.createTrackedNativeCall<Wcdb4VoiceDataResult>((resolve, reject) => {
const outHex: WcdbVoidOut = [null]
fn.async(
handle,
sessionId,
createTime,
localId,
BigInt(svrId || 0),
JSON.stringify(candidates),
outHex
outHex,
(error: unknown, code: unknown) => {
if (error) {
reject(error)
return
}
try {
const result = Number(code)
if (result !== 0 || !outHex[0]) {
resolve({ success: false, error: `获取语音数据失败: ${result}` })
return
}
const hex = this.decodeHexPtr(outHex[0])
resolve(
hex === null
? { success: false, error: '解析语音数据失败' }
: { success: true, hex, error: '' }
)
} finally {
this.wcdbFreeString?.(outHex[0])
}
}
)
})
}
if (result !== 0 || !outHex[0]) {
return { success: false, error: `获取语音数据失败: ${result}` }
}
const hex = this.decodeHexPtr(outHex[0])
if (hex === null) {
return { success: false, error: '解析语音数据失败' }
}
return { success: true, hex, error: '' }
} finally {
this.wcdbFreeString?.(outHex[0])
async getVoiceDataBatch(requests: Wcdb4VoiceDataRequest[]): Promise<Wcdb4VoiceDataResult[]> {
if (!requests.length) return []
if (!this.wcdbGetVoiceDataBatch) {
return this.getVoiceDataIndividually(requests)
}
try {
const rows = await this.callJsonAsync<Record<string, unknown>[]>(
this.wcdbGetVoiceDataBatch,
JSON.stringify(
requests.map((request, index) => ({
session_id: request.sessionId,
create_time: request.createTime,
local_id: request.localId || 0,
svr_id: String(request.svrId || 0),
candidates: request.candidates,
index
}))
)
)
const byIndex = new Map(
(Array.isArray(rows) ? rows : []).map((row) => [Number(row.index), row])
)
return requests.map((_, index) => {
const row = byIndex.get(index)
const rawHex = row?.hex ?? row?.data
const rawSuccess = row?.success ?? row?.Success
const hex = typeof rawHex === 'string' ? rawHex : undefined
const success = (rawSuccess === true || Number(rawSuccess) === 1) && Boolean(hex)
return {
success,
hex: success ? hex : undefined,
error:
typeof row?.error === 'string' && row.error
? row.error
: success
? ''
: '获取语音数据失败'
}
})
} catch (error) {
console.warn('[WCDB4] batch voice lookup failed, using single-item fallback:', error)
return this.getVoiceDataIndividually(requests)
}
}
private async getVoiceDataIndividually(
requests: Wcdb4VoiceDataRequest[]
): Promise<Wcdb4VoiceDataResult[]> {
const results: Wcdb4VoiceDataResult[] = []
for (const request of requests) {
results.push(
await this.getVoiceData(
request.sessionId,
request.createTime,
request.candidates,
request.localId,
request.svrId
)
)
}
return results
}
private decodeHexPtr(ptr: unknown): string | null {
@@ -2279,6 +2366,14 @@ export class Wcdb4Client {
this.wcdbGetVoiceData = null
}
try {
this.wcdbGetVoiceDataBatch = lib.func(
'int32 wcdb_get_voice_data_batch(int64 handle, const char* requestsJson, _Out_ void** outJson)'
)
} catch {
this.wcdbGetVoiceDataBatch = null
}
try {
this.wcdbResolveImageHardlink = lib.func(
'int32 wcdb_resolve_image_hardlink(int64 handle, const char* md5, const char* accountDir, _Out_ void** outJson)'
+95 -1
View File
@@ -43,6 +43,7 @@ const state = vi.hoisted(() => ({
}
>,
voiceLookups: [] as number[],
voiceBatches: [] as number[][],
videoLookups: [] as {
createTime?: number
byteLength?: number
@@ -137,6 +138,13 @@ vi.mock('../../src/main/voice-service', () => ({
}
: { success: false, error: '本地未找到语音数据' }
}
async resolveVoices(
references: Array<{ localId: number }>
): Promise<Array<{ success: boolean; data?: string; error?: string }>> {
state.voiceBatches.push(references.map((reference) => reference.localId))
return Promise.all(references.map((reference) => this.resolveVoice('', reference.localId)))
}
}
}))
vi.mock('../../src/main/image-decrypt-service', () => ({
@@ -264,6 +272,7 @@ describe('media export flow', () => {
state.groupSnapshotReads = []
state.groupSnapshots = {}
state.voiceLookups = []
state.voiceBatches = []
const fileMonth = join(state.accountRoot, 'msg', 'file', '2026-08')
mkdirSync(fileMonth, { recursive: true })
writeFileSync(join(fileMonth, '测试附件.txt'), '附件内容')
@@ -391,7 +400,10 @@ describe('media export flow', () => {
send: (_channel: string, payload: (typeof progress)[number]) => progress.push(payload)
}
}
const recognize = vi.fn(async () => ({ success: true as const, transcript: '固定转写文本' }))
const recognize = vi.fn(async () => {
expect(state.voiceLookups).toEqual([])
return { success: true as const, transcript: '固定转写文本' }
})
const result = await runExport(
{
@@ -423,6 +435,88 @@ describe('media export flow', () => {
})
})
it('uses compatible transcript results and waits for one coalesced knowledge update per chat', async () => {
const { runExport } = await import('../../src/main/export-service')
state.messages = [
message({
id: 'voice-cache-a',
type: '语音',
sessionId: 'fixture-session',
localId: 1,
createTime: 1_785_549_600,
contentData: { type: 'voice', duration: 1 }
}),
message({
id: 'voice-cache-b',
type: '语音',
sessionId: 'fixture-session',
localId: 2,
createTime: 1_785_549_601,
contentData: { type: 'voice', duration: 1 }
})
]
const recognize = vi.fn(async (reference: { localId: number }) => ({
success: true as const,
transcript: `缓存文字-${reference.localId}`,
cached: true
}))
const publishTranscript = vi.fn().mockResolvedValue(undefined)
const result = await runExport(
{
jobId: 'voice-cache-coalesced-index',
targets: [target()],
format: 'html',
outputName: 'voice-cache-coalesced-index',
kinds: ['voice'],
includeMedia: true,
includeVoiceTranscripts: true
},
{ isDestroyed: () => true, webContents: { send: vi.fn() } } as never,
{ recognize, publishTranscript }
)
expect(result.success, result.error).toBe(true)
expect(recognize).toHaveBeenCalledTimes(2)
expect(recognize).toHaveBeenNthCalledWith(1, expect.objectContaining({ localId: 1 }), {
publishTranscriptUpdate: false
})
expect(publishTranscript).toHaveBeenCalledOnce()
expect(publishTranscript).toHaveBeenCalledWith(
expect.objectContaining({ sessionId: 'fixture-session', localId: 2 }),
'缓存文字-2',
true
)
expect(state.voiceBatches).toEqual([[1, 2]])
expect(readArchive(result.outputPath!).messages.map((item) => item.voiceTranscript)).toEqual([
'缓存文字-1',
'缓存文字-2'
])
})
it('clears stale missing errors when an incremental merge restores playable voice data', async () => {
const { mergeHtmlArchiveMessages } = await import('../../src/main/export-service')
const previous = message({
id: 'voice-incremental',
type: '语音',
voiceDataUrl: 'voices/existing.wav',
voiceTranscript: '已有转写',
voiceTranscriptError: '旧转写错误'
})
const current = message({
id: 'voice-incremental',
type: '语音',
exportMediaError: '语音文件缺失:获取语音数据失败'
})
const [merged] = mergeHtmlArchiveMessages([previous], [current])
expect(merged.voiceDataUrl).toBe('voices/existing.wav')
expect(merged.voiceTranscript).toBe('已有转写')
expect(merged.exportMediaError).toBeUndefined()
expect(merged.voiceTranscriptError).toBeUndefined()
})
it('uses the customized file name as the HTML archive title', async () => {
const { runExport } = await import('../../src/main/export-service')
const win = { isDestroyed: () => true, webContents: { send: vi.fn() } }
+129 -3
View File
@@ -30,8 +30,15 @@ vi.mock('electron', () => ({
}
}))
import { assessMigration, executeMigration } from '../../src/main/app-data-migration'
import { getUserDataRoots } from '../../src/main/app-data-paths'
import {
assessMigration,
executeMigration,
migrateLegacyVoiceTranscripts,
runFirstLaunchMigration
} from '../../src/main/app-data-migration'
import { getUserDataRoots, type UserDataRoots } from '../../src/main/app-data-paths'
import { SqliteTranscriptRepository } from '../../src/main/voice-pipeline/transcript-repository'
import type { TranscriptRecord } from '../../src/main/voice-pipeline/types'
let root = ''
@@ -43,7 +50,7 @@ afterEach(() => {
fs.removeSync(root)
})
function roots() {
function roots(): UserDataRoots {
return getUserDataRoots(path.join(root, 'Application Support'))
}
@@ -72,6 +79,16 @@ describe('TraceMemo app data migration', () => {
})
})
it('recognizes a legacy voice transcript cache as user-owned data', () => {
const fixture = roots()
writeFixture(path.join(fixture.legacy, 'cache', 'voice-transcripts.sqlite'))
expect(assessMigration(fixture)).toMatchObject({
shouldPrompt: true,
reason: 'legacy-assets-detected',
sourceRoot: fixture.legacy
})
})
it('detects legacy settings but never proposes overwriting valid TraceMemo data', () => {
const fixture = roots()
writeFixture(path.join(fixture.legacy, 'settings.json'), '{"dbRoot":"legacy"}')
@@ -180,4 +197,113 @@ describe('TraceMemo app data migration', () => {
)
expect(fs.readFileSync(path.join(fixture.legacy, 'settings.json'), 'utf8')).toContain('legacy')
})
it('supplements legacy voice transcripts into an existing TraceMemo cache', async () => {
const fixture = roots()
const legacyPath = path.join(fixture.legacy, 'cache', 'voice-transcripts.sqlite')
const currentPath = path.join(fixture.current, 'cache', 'voice-transcripts.sqlite')
const record: TranscriptRecord = {
accountId: 'account-a',
messageIdentity: 'message-a',
audioHash: 'audio-a',
processorVersion: 'processor-v1',
recognizerId: 'sensevoice',
modelVersion: 'model-v1',
modelFingerprint: 'fingerprint-a',
transcript: '已经转写过的文字',
durationMs: 800,
createdAt: 1,
updatedAt: 1
}
const legacy = new SqliteTranscriptRepository(legacyPath)
legacy.save(record)
legacy.close()
expect(await migrateLegacyVoiceTranscripts(fixture.legacy, fixture.current)).toBe('migrated')
expect(await migrateLegacyVoiceTranscripts(fixture.legacy, fixture.current)).toBe('skipped')
const current = new SqliteTranscriptRepository(currentPath)
expect(current.findLatest('account-a', 'message-a')?.transcript).toBe('已经转写过的文字')
current.close()
})
it('backfills voice transcripts after the original migration was already completed', async () => {
const fixture = roots()
const legacyPath = path.join(fixture.legacy, 'cache', 'voice-transcripts.sqlite')
const legacy = new SqliteTranscriptRepository(legacyPath)
legacy.save({
accountId: 'account-a',
messageIdentity: 'message-a',
audioHash: 'audio-a',
processorVersion: 'processor-v1',
recognizerId: 'sensevoice',
modelVersion: 'model-v1',
modelFingerprint: 'fingerprint-a',
transcript: '补迁文字',
durationMs: 800,
createdAt: 1,
updatedAt: 1
})
legacy.close()
fs.ensureDirSync(fixture.current)
fs.writeJsonSync(path.join(fixture.current, 'tracememo-migration-v1.json'), {
version: 1,
status: 'completed',
sourceRoot: fixture.legacy,
updatedAt: '2026-08-11T00:00:00.000Z',
items: { 'settings.json': 'migrated' },
secretFailures: []
})
const result = await runFirstLaunchMigration(fixture)
expect(result.action).toBe('migrated')
expect(result.execution?.state.items['cache/voice-transcripts.sqlite']).toBe('migrated')
expect(result.execution?.state.status).toBe('completed')
const current = new SqliteTranscriptRepository(
path.join(fixture.current, 'cache', 'voice-transcripts.sqlite')
)
expect(current.findLatest('account-a', 'message-a')?.transcript).toBe('补迁文字')
current.close()
})
it('does not retry a voice transcript backfill after it was marked failed', async () => {
const fixture = roots()
writeFixture(path.join(fixture.legacy, 'settings.json'), '{}')
writeFixture(path.join(fixture.legacy, 'cache', 'voice-transcripts.sqlite'), 'invalid sqlite')
fs.ensureDirSync(fixture.current)
fs.writeJsonSync(path.join(fixture.current, 'tracememo-migration-v1.json'), {
version: 1,
status: 'completed',
sourceRoot: fixture.legacy,
updatedAt: '2026-08-11T00:00:00.000Z',
items: { 'cache/voice-transcripts.sqlite': 'failed' },
secretFailures: []
})
const result = await runFirstLaunchMigration(fixture)
expect(result.action).toBe('none')
expect(result.execution).toBeUndefined()
expect(fs.existsSync(path.join(fixture.current, 'cache', 'voice-transcripts.sqlite'))).toBe(
false
)
})
it('treats a failed voice transcript migration as a non-blocking downgrade', async () => {
const fixture = roots()
writeFixture(path.join(fixture.legacy, 'settings.json'), '{}')
writeFixture(path.join(fixture.legacy, 'cache', 'voice-transcripts.sqlite'), 'invalid sqlite')
const result = await executeMigration(fixture.legacy, fixture.current, {
decryptLegacySecrets: async () => ({ databaseKeys: {}, failures: [] }),
agentRoots: () => ({
legacy: path.join(root, 'agent-legacy'),
current: path.join(root, 'agent-current')
}),
now: () => new Date('2026-08-11T00:00:00.000Z')
})
expect(result.state.status).toBe('completed')
expect(result.state.items['cache/voice-transcripts.sqlite']).toBe('failed')
})
})
+56 -1
View File
@@ -33,7 +33,7 @@ describe('export media', () => {
expect(html).toContain('aria-expanded="')
expect(html).toContain('setExpandedTimelineYear')
expect(html).toContain('data-kind="media"')
expect(html).toContain('placeholder="搜索发送者消息内容…"')
expect(html).toContain('placeholder="搜索发送者消息内容或媒体文件名(不含后缀)…"')
expect(html).toContain('font-size: 16px;')
expect(html).toContain('filtered.slice(windowStart, windowEnd)')
expect(html).toContain('windowStart = Math.max(0, windowEnd - PAGE_SIZE)')
@@ -156,6 +156,61 @@ describe('export media', () => {
dom.window.close()
})
it('matches exported image and video filenames exactly without their extension', () => {
const html = renderExportPage('媒体文件名搜索')
const dom = new JSDOM(html, { runScripts: 'outside-only' })
const imageFileName = 'image_0123456789abcdef.jpg'
const videoFileName = 'video_fedcba9876543210.mp4'
const messages: Message[] = [
{
...messageForArchive('image-name', 'fixture', '媒体文件名搜索', '', 1),
type: '图片',
exportMediaType: 'image',
exportMediaUrl: `media/${imageFileName}`,
contentData: { type: 'image' }
},
{
...messageForArchive('video-name', 'fixture', '媒体文件名搜索', '', 2),
type: '视频',
exportMediaType: 'video',
exportMediaUrl: `media/${videoFileName}`,
contentData: { type: 'video' }
}
]
Object.assign(dom.window, {
__WECHAT_EXPORT__: {
version: 1,
sourceId: 'fixture',
name: '媒体文件名搜索',
messages
}
})
dom.window.eval(inlineScriptOf(html))
const search = dom.window.document.querySelector('#query') as HTMLInputElement
search.value = 'IMAGE_0123456789ABCDEF'
search.dispatchEvent(new dom.window.Event('input'))
expect(dom.window.document.querySelectorAll('.message')).toHaveLength(1)
expect(dom.window.document.querySelectorAll('img.media-image')).toHaveLength(1)
expect(dom.window.document.querySelectorAll('video.media-image')).toHaveLength(0)
search.value = '0123456789abcdef'
search.dispatchEvent(new dom.window.Event('input'))
expect(dom.window.document.querySelectorAll('.message')).toHaveLength(0)
search.value = 'video_fedcba9876543210'
search.dispatchEvent(new dom.window.Event('input'))
expect(dom.window.document.querySelectorAll('.message')).toHaveLength(1)
expect(dom.window.document.querySelectorAll('img.media-image')).toHaveLength(0)
expect(dom.window.document.querySelectorAll('video.media-image')).toHaveLength(1)
search.value = videoFileName
search.dispatchEvent(new dom.window.Event('input'))
expect(dom.window.document.querySelectorAll('.message')).toHaveLength(0)
dom.window.close()
})
it('filters a v2 merged archive by conversation before search and month counts', () => {
const html = renderExportPage('合并档案')
const dom = new JSDOM(html, { runScripts: 'outside-only' })
+163 -4
View File
@@ -3,6 +3,8 @@ import { tmpdir } from 'os'
import { join } from 'path'
import { afterAll, describe, expect, it, vi } from 'vitest'
import { PcmAudioProcessor } from '../../src/main/voice-pipeline/audio-processor'
import { VoicePipeline } from '../../src/main/voice-pipeline/voice-pipeline'
import { voiceMessageIdentity } from '../../src/main/voice-pipeline/voice-message-identity'
import { VoiceTaskScheduler } from '../../src/main/voice-pipeline/task-scheduler'
import { SqliteTranscriptRepository } from '../../src/main/voice-pipeline/transcript-repository'
import type { TranscriptRecord } from '../../src/main/voice-pipeline/types'
@@ -114,9 +116,13 @@ describe('voice task scheduling', () => {
releaseFirst = resolve
})
)
const background = scheduler.schedule('background', async () => {
order.push('background')
}, { priority: 'background' })
const background = scheduler.schedule(
'background',
async () => {
order.push('background')
},
{ priority: 'background' }
)
const interactive = scheduler.schedule('interactive', async () => {
order.push('interactive')
})
@@ -134,7 +140,9 @@ describe('voice task scheduling', () => {
'background',
async (signal) => {
order.push('background:start')
await new Promise<void>((resolve) => signal.addEventListener('abort', resolve, { once: true }))
await new Promise<void>((resolve) =>
signal.addEventListener('abort', resolve, { once: true })
)
order.push('background:aborted')
throw new DOMException('Recognition cancelled', 'AbortError')
},
@@ -201,4 +209,155 @@ describe('transcript repository', () => {
})
repository.close()
})
it('merges legacy transcripts idempotently without overwriting current records', () => {
const legacyPath = join(root, 'legacy-transcripts.sqlite')
const currentPath = join(root, 'current-transcripts.sqlite')
const legacy = new SqliteTranscriptRepository(legacyPath)
const current = new SqliteTranscriptRepository(currentPath)
const base: TranscriptRecord = {
accountId: 'account-a',
messageIdentity: 'message-1',
audioHash: 'audio-1',
processorVersion: 'processor-v1',
recognizerId: 'sensevoice',
modelVersion: 'model-v1',
modelFingerprint: 'fingerprint-a',
transcript: '旧缓存文字',
durationMs: 1200,
createdAt: 1,
updatedAt: 1
}
legacy.save(base)
legacy.save({ ...base, messageIdentity: 'message-2', audioHash: 'audio-2' })
current.save({ ...base, transcript: '当前缓存文字', updatedAt: 2 })
legacy.close()
expect(current.mergeFrom(legacyPath)).toBe(1)
expect(current.mergeFrom(legacyPath)).toBe(0)
expect(
current.find({
accountId: base.accountId,
messageIdentity: base.messageIdentity,
audioHash: base.audioHash,
processorVersion: base.processorVersion,
recognizerId: base.recognizerId,
modelVersion: base.modelVersion,
modelFingerprint: base.modelFingerprint
})?.transcript
).toBe('当前缓存文字')
expect(current.findLatest('account-a', 'message-2')?.transcript).toBe('旧缓存文字')
current.close()
})
})
describe('voice pipeline cache lookup', () => {
it('returns a compatible message cache before reading or decoding audio', async () => {
const repository = new SqliteTranscriptRepository(join(root, 'fast-cache.sqlite'))
const reference = { sessionId: 'session', localId: 1, createTime: 2 }
repository.save({
accountId: 'account-a',
messageIdentity: voiceMessageIdentity(reference),
audioHash: 'audio-1',
processorVersion: 'processor-v1',
recognizerId: 'sensevoice',
modelVersion: 'model-v1',
modelFingerprint: 'fingerprint-a',
transcript: '快速命中',
durationMs: 900,
createdAt: 1,
updatedAt: 1
})
const resolve = vi.fn()
const decode = vi.fn()
const process = vi.fn()
const recognize = vi.fn()
const pipeline = new VoicePipeline(
{ resolve },
{ decode } as never,
{ version: 'processor-v1', process },
{
metadata: {
recognizerId: 'sensevoice',
modelVersion: 'model-v1',
modelFingerprint: 'fingerprint-a'
},
recognize,
dispose: vi.fn()
},
repository
)
await expect(pipeline.run('account-a', reference)).resolves.toMatchObject({
transcript: '快速命中',
cached: true
})
expect(resolve).not.toHaveBeenCalled()
expect(decode).not.toHaveBeenCalled()
expect(process).not.toHaveBeenCalled()
expect(recognize).not.toHaveBeenCalled()
repository.close()
})
it('falls through when the cached processor version is incompatible', async () => {
const repository = new SqliteTranscriptRepository(join(root, 'version-cache.sqlite'))
const reference = { sessionId: 'session', localId: 1, createTime: 2 }
repository.save({
accountId: 'account-a',
messageIdentity: voiceMessageIdentity(reference),
audioHash: 'old-audio',
processorVersion: 'processor-v0',
recognizerId: 'sensevoice',
modelVersion: 'model-v1',
modelFingerprint: 'fingerprint-a',
transcript: '不兼容缓存',
durationMs: 900,
createdAt: 1,
updatedAt: 1
})
const resolve = vi.fn().mockResolvedValue({
data: Buffer.from('encoded'),
codec: 'silk',
sourceHash: 'new-audio'
})
const pipeline = new VoicePipeline(
{ resolve },
{
decode: vi.fn().mockResolvedValue({
pcm: Buffer.from([1, 0]),
sampleRate: 16000,
channels: 1,
sourceHash: 'new-audio'
})
} as never,
{
version: 'processor-v1',
process: vi.fn().mockReturnValue({
samples: new Float32Array([0.1]),
sampleRate: 16000,
channels: 1,
sourceHash: 'new-audio',
processorVersion: 'processor-v1',
durationMs: 1
})
},
{
metadata: {
recognizerId: 'sensevoice',
modelVersion: 'model-v1',
modelFingerprint: 'fingerprint-a'
},
recognize: vi.fn().mockResolvedValue({ text: '新转写' }),
dispose: vi.fn()
},
repository
)
await expect(pipeline.run('account-a', reference)).resolves.toMatchObject({
transcript: '新转写',
cached: false
})
expect(resolve).toHaveBeenCalledOnce()
repository.close()
})
})
+23 -1
View File
@@ -72,7 +72,9 @@ describe('VoiceRecognitionUseCase transcript updates', () => {
it('does not publish a transcript after the account generation changes mid-recognition', async () => {
const useCase = createUseCase()
let finish: ((value: { transcript: string; durationMs: number; cached: boolean }) => void) | undefined
let finish:
| ((value: { transcript: string; durationMs: number; cached: boolean }) => void)
| undefined
const state = useCase as unknown as {
accountGeneration: number
pipeline: { run: ReturnType<typeof vi.fn> }
@@ -98,4 +100,24 @@ describe('VoiceRecognitionUseCase transcript updates', () => {
expect(listener).not.toHaveBeenCalled()
await useCase.dispose()
})
it('publishes an explicit cached transcript for a coalesced export index refresh', async () => {
const useCase = createUseCase()
const listener = vi.fn().mockResolvedValue(undefined)
useCase.onTranscriptUpdate(listener)
const reference = { sessionId: 'fixture-contact', localId: 11, createTime: 1_785_895_202 }
await useCase.publishTranscript(reference, '缓存导出文字', true)
expect(listener).toHaveBeenCalledWith(
expect.objectContaining({
accountIdentity: 'account-a',
reference,
state: 'transcribed',
transcript: '缓存导出文字',
cached: true
})
)
await useCase.dispose()
})
})
+31
View File
@@ -0,0 +1,31 @@
import { describe, expect, it, vi } from 'vitest'
import { VoiceService } from '../../src/main/voice-service'
describe('VoiceService batch lookup', () => {
it('retries failed batch entries with the compatible single-item lookup', async () => {
const getVoiceDataBatch = vi.fn().mockResolvedValue([
{ success: false, error: '获取语音数据失败' },
{ success: false, error: '获取语音数据失败' }
])
const service = new VoiceService({ getVoiceDataBatch } as never)
const resolveVoice = vi
.spyOn(service, 'resolveVoice')
.mockImplementation(async (_sessionId, localId) => ({
success: true,
data: `voice-${localId}`
}))
const result = await service.resolveVoices([
{ sessionId: 'session', localId: 10, createTime: 100, svrId: '1000' },
{ sessionId: 'session', localId: 11, createTime: 101, svrId: '1001' }
])
expect(result).toEqual([
{ success: true, data: 'voice-10' },
{ success: true, data: 'voice-11' }
])
expect(resolveVoice).toHaveBeenCalledTimes(2)
expect(resolveVoice).toHaveBeenNthCalledWith(1, 'session', 10, 100, '1000')
expect(resolveVoice).toHaveBeenNthCalledWith(2, 'session', 11, 101, '1001')
})
})
+55
View File
@@ -37,4 +37,59 @@ describe('Wcdb4Client shutdown', () => {
expect(shutdown).toHaveBeenCalledOnce()
}
})
it('restores async batch voice results to request order', async () => {
const client = Object.create(Wcdb4Client.prototype) as Wcdb4Client
setPrivate(client, 'wcdbGetVoiceDataBatch', vi.fn())
setPrivate(
client,
'callJsonAsync',
vi.fn().mockResolvedValue([
{ index: 1, success: false, error: 'missing' },
{ index: 0, Success: true, hex: 'aabb' }
])
)
await expect(
client.getVoiceDataBatch([
{ sessionId: 'a', createTime: 1, localId: 10, candidates: ['a'] },
{ sessionId: 'b', createTime: 2, localId: 20, candidates: ['b'] }
])
).resolves.toEqual([
{ success: true, hex: 'aabb', error: '' },
{ success: false, hex: undefined, error: 'missing' }
])
})
it('uses the async Koffi path for a single voice lookup and releases the result', async () => {
const client = Object.create(Wcdb4Client.prototype) as Wcdb4Client
const nativePointer = { value: 'aabb' }
const freeString = vi.fn()
const nativeFunction = {
async: vi.fn((...args: unknown[]) => {
const outHex = args.at(-2) as [unknown]
const callback = args.at(-1) as (error: unknown, code: number) => void
outHex[0] = nativePointer
queueMicrotask(() => callback(null, 0))
})
}
setPrivate(client, 'wcdbGetVoiceData', nativeFunction)
setPrivate(client, 'wcdbFreeString', freeString)
setPrivate(client, 'handle', 1)
setPrivate(client, 'closing', false)
setPrivate(client, 'nativeCallsInFlight', new Set())
setPrivate(
client,
'decodeHexPtr',
vi.fn(() => 'aabb')
)
await expect(client.getVoiceData('session', 100, ['session'], 10, 20)).resolves.toEqual({
success: true,
hex: 'aabb',
error: ''
})
expect(nativeFunction.async).toHaveBeenCalledOnce()
expect(freeString).toHaveBeenCalledWith(nativePointer)
})
})