Files
ChatLab/electron/main/merger/index.ts
T

870 lines
27 KiB
TypeScript

/**
* 聊天记录合并模块
* 支持多个聊天记录文件合并为 ChatLab 专属格式
*/
import * as fs from 'fs'
import * as path from 'path'
import { createHash } from 'crypto'
import { parseFileSync, detectFormat } from '../parser'
import { importData } from '../database/core'
import { TempDbReader } from './tempCache'
import { getDownloadsDir } from '../paths'
import type { ParseResult, ParsedMessage, ChatPlatform, ChatType, ParsedMember } from '../../../src/types/base'
import type {
ChatLabFormat,
ChatLabMember,
ChatLabMessage,
FileParseInfo,
MergeConflict,
ConflictCheckResult,
MergeParams,
MergeResult,
MergeSource,
} from '../../../src/types/format'
import type { ParsedMeta } from '../parser/types'
/**
* 获取默认输出目录(系统下载目录)
*/
function getDefaultOutputDir(): string {
return getDownloadsDir()
}
/**
* 确保输出目录存在
*/
function ensureOutputDir(dir: string): void {
if (!fs.existsSync(dir)) {
fs.mkdirSync(dir, { recursive: true })
}
}
/**
* 生成输出文件名
*/
function generateOutputFilename(name: string, format: 'json' | 'jsonl' = 'json'): string {
const date = new Date().toISOString().slice(0, 10).replace(/-/g, '')
const safeName = name.replace(/[/\\?%*:|"<>]/g, '_')
return `${safeName}_merged_${date}.${format}`
}
/**
* 解析文件获取基本信息(用于预览)
* 注意:推荐使用 parser.parseFileInfo 获取更详细的信息
*/
export async function parseFileInfo(filePath: string): Promise<FileParseInfo> {
const format = detectFormat(filePath)
if (!format) {
throw new Error('无法识别文件格式')
}
const result = await parseFileSync(filePath)
return {
name: result.meta.name,
format: format.name,
platform: result.meta.platform,
messageCount: result.messages.length,
memberCount: result.members.length,
}
}
/**
* 生成消息的唯一标识(用于去重和冲突检测)
*/
function getMessageKey(msg: ParsedMessage): string {
// 合并链路的去重语义需要和增量导入保持一致,否则两条链路会对重复消息得出不同结论。
const normalizedContent = msg.content || null
const hash = createHash('sha256')
hash.update(String(msg.timestamp))
hash.update('\0')
hash.update(msg.senderPlatformId)
hash.update('\0')
hash.update(normalizedContent === null ? 'null' : 'text')
hash.update('\0')
if (normalizedContent !== null) {
hash.update(normalizedContent)
}
return hash.digest('base64url')
}
function getParsedMessageDisplayName(msg: ParsedMessage): string {
return msg.senderGroupNickname || msg.senderAccountName || msg.senderPlatformId
}
/**
* 检查消息是否是纯图片消息
* 纯图片消息格式如:[图片: xxx.jpg]、[图片: {xxx}.jpg] 等
*/
function isImageOnlyMessage(content: string | undefined): boolean {
if (!content) return false
// 匹配 [图片: xxx] 格式,允许各种图片名称格式
return /^\[图片:\s*.+\]$/.test(content.trim())
}
function detectConflictsInMessages(
allMessages: Array<{ msg: ParsedMessage; source: string }>,
conflicts: MergeConflict[]
): ConflictCheckResult {
// 按时间戳分组检测冲突
const timeGroups = new Map<number, Array<{ msg: ParsedMessage; source: string }>>()
for (const item of allMessages) {
const ts = item.msg.timestamp
if (!timeGroups.has(ts)) {
timeGroups.set(ts, [])
}
timeGroups.get(ts)!.push(item)
}
console.log(`[Merger] Unique timestamps: ${timeGroups.size}`)
// 统计有多条消息的时间戳
let multiMsgTsCount = 0
for (const [, items] of timeGroups) {
if (items.length > 1) multiMsgTsCount++
}
console.log(`[Merger] Timestamps with multiple messages: ${multiMsgTsCount}`)
// 统计自动去重数量
let autoDeduplicatedCount = 0
// 检测每个时间戳内的冲突
for (const [ts, items] of timeGroups) {
if (items.length < 2) continue
// 按发送者分组
const senderGroups = new Map<string, Array<{ msg: ParsedMessage; source: string }>>()
for (const item of items) {
const sender = item.msg.senderPlatformId
if (!senderGroups.has(sender)) {
senderGroups.set(sender, [])
}
senderGroups.get(sender)!.push(item)
}
// 检测同一时间戳同一发送者的不同内容
for (const [sender, senderItems] of senderGroups) {
if (senderItems.length < 2) continue
// 检查是否来自不同文件
const sources = new Set(senderItems.map((it) => it.source))
if (sources.size < 2) {
// 所有消息来自同一个文件,跳过(这是同一文件内同一秒内多条消息的情况)
continue
}
// 按内容分组(完全相同的内容会被分到一组,自动去重)
const contentGroups = new Map<string, Array<{ msg: ParsedMessage; source: string }>>()
for (const item of senderItems) {
const content = item.msg.content || ''
if (!contentGroups.has(content)) {
contentGroups.set(content, [])
}
contentGroups.get(content)!.push(item)
}
// 统计自动去重的消息(内容完全相同但来自不同文件)
for (const [, contentItems] of contentGroups) {
if (contentItems.length > 1) {
const contentSources = new Set(contentItems.map((it) => it.source))
if (contentSources.size > 1) {
// 内容相同但来自不同文件,自动去重
autoDeduplicatedCount += contentItems.length - 1
}
}
}
// 只有当有多个不同内容时才是真正的冲突
if (contentGroups.size > 1) {
const contentEntries = Array.from(contentGroups.entries())
// 检查这些不同内容是否来自不同文件
for (let i = 0; i < contentEntries.length - 1; i++) {
for (let j = i + 1; j < contentEntries.length; j++) {
const [content1, items1] = contentEntries[i]
const [content2, items2] = contentEntries[j]
// 找到两个来源不同的消息
const item1 = items1[0]
const item2 = items2.find((it) => it.source !== item1.source)
// 如果找不到来自不同文件的消息,跳过
if (!item2) continue
// 如果两边都是纯图片消息,自动跳过(不需要用户选择)
if (isImageOnlyMessage(content1) && isImageOnlyMessage(content2)) {
autoDeduplicatedCount++
continue
}
// 打印冲突详情
if (conflicts.length < 5) {
console.log(`[Merger] Conflict #${conflicts.length + 1}:`)
console.log(` Timestamp: ${ts} (${new Date(ts * 1000).toLocaleString()})`)
console.log(` Sender: ${sender} (${getParsedMessageDisplayName(item1.msg)})`)
console.log(
` File1: ${item1.source}, length: ${content1.length}, content: "${content1.slice(0, 50)}..."`
)
console.log(
` File2: ${item2.source}, length: ${content2.length}, content: "${content2.slice(0, 50)}..."`
)
}
conflicts.push({
id: `conflict_${ts}_${sender}_${conflicts.length}`,
timestamp: ts,
sender: getParsedMessageDisplayName(item1.msg) || sender,
contentLength1: content1.length,
contentLength2: content2.length,
content1: content1,
content2: content2,
})
}
}
}
}
}
console.log(`[Merger] Auto-deduplicated messages (incl. image conflicts): ${autoDeduplicatedCount}`)
console.log(`[Merger] Conflicts detected: ${conflicts.length}`)
// 计算去重后的消息数
const uniqueKeys = new Set<string>()
for (const item of allMessages) {
uniqueKeys.add(getMessageKey(item.msg))
}
console.log(`[Merger] Messages after dedup: ${uniqueKeys.size}`)
return {
conflicts,
totalMessages: uniqueKeys.size,
}
}
/**
* 合并多个聊天记录文件(使用缓存的解析结果)
*/
export async function mergeFilesWithCache(params: MergeParams, cache: Map<string, ParseResult>): Promise<MergeResult> {
try {
const { filePaths, outputName, outputDir, conflictResolutions, andAnalyze } = params
console.log('[Merger] mergeFilesWithCache: Starting merge')
console.log(
'[Merger] 缓存状态:',
filePaths.map((p) => `${path.basename(p)}: ${cache.has(p) ? '已缓存' : '未缓存'}`)
)
// 解析所有文件(优先使用缓存)
const parseResults: Array<{ result: ParseResult; source: string }> = []
for (const filePath of filePaths) {
let result: ParseResult
if (cache.has(filePath)) {
result = cache.get(filePath)!
console.log(`[Merger] Cache hit: ${path.basename(filePath)}`)
} else {
// 回退到文件解析(兼容性)
console.log(`[Merger] Cache miss, re-parsing: ${path.basename(filePath)}`)
result = await parseFileSync(filePath)
}
parseResults.push({ result, source: path.basename(filePath) })
}
return executeMerge(parseResults, outputName, outputDir, conflictResolutions, andAnalyze)
} catch (err) {
return {
success: false,
error: err instanceof Error ? err.message : '合并失败',
}
}
}
async function executeMerge(
parseResults: Array<{ result: ParseResult; source: string }>,
outputName: string,
outputDir: string | undefined,
_conflictResolutions: MergeParams['conflictResolutions'],
andAnalyze: boolean
): Promise<MergeResult> {
const memberMap = new Map<string, ChatLabMember>()
for (const { result } of parseResults) {
for (const member of result.members) {
const existing = memberMap.get(member.platformId)
if (existing) {
if (member.accountName) existing.accountName = member.accountName
if (member.groupNickname) existing.groupNickname = member.groupNickname
if (member.avatar) existing.avatar = member.avatar
} else {
memberMap.set(member.platformId, {
platformId: member.platformId,
accountName: member.accountName,
groupNickname: member.groupNickname,
avatar: member.avatar,
})
}
}
}
const seenKeys = new Set<string>()
const mergedMessages: ChatLabMessage[] = []
for (const { result } of parseResults) {
for (const msg of result.messages) {
const key = getMessageKey(msg)
if (seenKeys.has(key)) continue
seenKeys.add(key)
mergedMessages.push({
sender: msg.senderPlatformId,
accountName: msg.senderAccountName,
groupNickname: msg.senderGroupNickname,
timestamp: msg.timestamp,
type: msg.type,
content: msg.content,
})
}
}
mergedMessages.sort((a, b) => a.timestamp - b.timestamp)
const sources: MergeSource[] = parseResults.map(({ result, source }) => ({
filename: source,
platform: result.meta.platform,
messageCount: result.messages.length,
}))
const groupIds = new Set(parseResults.map(({ result }) => result.meta.groupId).filter(Boolean))
const groupId =
groupIds.size === 1 ? parseResults.find(({ result }) => result.meta.groupId)?.result.meta.groupId : undefined
const groupAvatar = groupId
? parseResults.filter(({ result }) => result.meta.groupId === groupId).pop()?.result.meta.groupAvatar
: undefined
const chatLabHeader = {
version: '0.0.1',
exportedAt: Math.floor(Date.now() / 1000),
generator: 'ChatLab Merge Tool',
description: `合并自 ${parseResults.length} 个文件`,
}
const chatLabMeta = {
name: outputName,
platform: parseResults[0].result.meta.platform as ChatPlatform,
type: parseResults[0].result.meta.type as ChatType,
sources,
groupId,
groupAvatar,
}
const targetDir = outputDir || getDefaultOutputDir()
ensureOutputDir(targetDir)
const outputPath = path.join(targetDir, generateOutputFilename(outputName, 'json'))
const chatLabData: ChatLabFormat = {
chatlab: chatLabHeader,
meta: chatLabMeta,
members: Array.from(memberMap.values()),
messages: mergedMessages,
}
fs.writeFileSync(outputPath, JSON.stringify(chatLabData, null, 2), 'utf-8')
let sessionId: string | undefined
if (andAnalyze) {
sessionId = importData({
meta: {
name: chatLabMeta.name,
platform: chatLabMeta.platform,
type: chatLabMeta.type,
groupId: chatLabMeta.groupId,
groupAvatar: chatLabMeta.groupAvatar,
},
members: chatLabData.members.map((member) => ({
platformId: member.platformId,
accountName: member.accountName,
groupNickname: member.groupNickname,
avatar: member.avatar,
})),
messages: chatLabData.messages.map((msg) => ({
senderPlatformId: msg.sender,
senderAccountName: msg.accountName,
senderGroupNickname: msg.groupNickname,
timestamp: msg.timestamp,
type: msg.type,
content: msg.content,
})),
})
}
return {
success: true,
outputPath,
sessionId,
}
}
// ==================== 临时数据库版本(内存优化) ====================
/**
* 检测合并冲突(使用临时数据库,内存友好)
*/
export async function checkConflictsWithTempDb(
filePaths: string[],
tempDbCache: Map<string, string>
): Promise<ConflictCheckResult> {
const allMessages: Array<{ msg: ParsedMessage; source: string }> = []
const conflicts: MergeConflict[] = []
console.log('[Merger] checkConflictsWithTempDb: Checking conflicts')
console.log(
'[Merger] 文件列表:',
filePaths.map((p) => path.basename(p))
)
console.log(
'[Merger] 临时数据库缓存状态:',
filePaths.map((p) => `${path.basename(p)}: ${tempDbCache.has(p) ? '已缓存' : '未缓存'}`)
)
// 从临时数据库读取所有消息
const readers: TempDbReader[] = []
try {
for (const filePath of filePaths) {
const tempDbPath = tempDbCache.get(filePath)
if (!tempDbPath) {
throw new Error(`未找到文件的临时数据库: ${path.basename(filePath)}`)
}
const reader = new TempDbReader(tempDbPath)
readers.push(reader)
const meta = reader.getMeta()
const sourceName = path.basename(filePath)
console.log(`[Merger] Reading from temp DB: ${sourceName}, platform: ${meta?.platform}`)
// 流式读取消息,避免一次性加载到内存
reader.streamMessages(10000, (messages) => {
for (const msg of messages) {
allMessages.push({ msg, source: sourceName })
}
})
}
console.log(`[Merger] Total messages: ${allMessages.length}`)
// 检查格式一致性
const platforms = readers.map((r) => r.getMeta()?.platform || 'unknown')
const uniquePlatforms = [...new Set(platforms)]
if (uniquePlatforms.length > 1) {
throw new Error(
`不支持合并不同格式的聊天记录。\n检测到的格式:${uniquePlatforms.join('、')}\n请确保所有文件使用相同的导出工具和格式。`
)
}
console.log('[Merger] Format check passed:', uniquePlatforms[0])
return detectConflictsInMessages(allMessages, conflicts)
} finally {
// 关闭所有 reader
for (const reader of readers) {
reader.close()
}
}
}
/**
* 合并多个聊天记录文件(使用临时数据库,内存友好)
*/
export async function mergeFilesWithTempDb(
params: MergeParams,
tempDbCache: Map<string, string>
): Promise<MergeResult> {
const {
filePaths,
outputName,
outputDir,
outputFormat = 'json',
conflictResolutions: _conflictResolutions,
andAnalyze,
} = params
console.log('[Merger] mergeFilesWithTempDb: Starting merge')
console.log(
'[Merger] 临时数据库缓存状态:',
filePaths.map((p) => `${path.basename(p)}: ${tempDbCache.has(p) ? '已缓存' : '未缓存'}`)
)
const readers: TempDbReader[] = []
try {
// 打开所有临时数据库
const parseResults: Array<{ meta: ParsedMeta; members: ParsedMember[]; source: string; reader: TempDbReader }> = []
for (const filePath of filePaths) {
const tempDbPath = tempDbCache.get(filePath)
if (!tempDbPath) {
throw new Error(`未找到文件的临时数据库: ${path.basename(filePath)}`)
}
const reader = new TempDbReader(tempDbPath)
readers.push(reader)
const meta = reader.getMeta()
if (!meta) {
throw new Error(`无法读取元信息: ${path.basename(filePath)}`)
}
const members = reader.getMembers()
const sourceName = path.basename(filePath)
console.log(`[Merger] Using temp database: ${sourceName}`)
parseResults.push({ meta, members, source: sourceName, reader })
}
// 合并成员
const memberMap = new Map<string, ChatLabMember>()
for (const { members } of parseResults) {
for (const member of members) {
const existing = memberMap.get(member.platformId)
if (existing) {
if (member.accountName) {
existing.accountName = member.accountName
}
if (member.groupNickname) {
existing.groupNickname = member.groupNickname
}
// 头像使用最新的(覆盖更新)
if (member.avatar) {
existing.avatar = member.avatar
}
} else {
memberMap.set(member.platformId, {
platformId: member.platformId,
accountName: member.accountName,
groupNickname: member.groupNickname,
avatar: member.avatar,
})
}
}
}
// 流式合并消息(去重)- 使用 Set 替代 Map 以提高性能
// 注:冲突解决方案通过消息处理顺序生效(第一个被处理的版本会被保留)
const seenKeys = new Set<string>()
const mergedMessages: ChatLabMessage[] = []
let totalProcessed = 0
const startTime = Date.now()
for (const { reader, source } of parseResults) {
const readerStartTime = Date.now()
let readerCount = 0
reader.streamMessages(10000, (messages) => {
for (const msg of messages) {
const key = getMessageKey(msg)
// 跳过已处理的消息(去重)
if (seenKeys.has(key)) {
continue
}
seenKeys.add(key)
// 注:冲突已在去重时处理(seenKeys),用户选择的冲突解决方案
// 决定了哪个版本的消息先被处理,后续相同 key 的消息会被跳过
mergedMessages.push({
sender: msg.senderPlatformId,
accountName: msg.senderAccountName,
groupNickname: msg.senderGroupNickname,
timestamp: msg.timestamp,
type: msg.type,
content: msg.content,
})
readerCount++
}
totalProcessed += messages.length
})
console.log(
`[Merger] Processing ${source}: ${readerCount} unique messages, elapsed: ${Date.now() - readerStartTime}ms`
)
}
// 排序
const sortStartTime = Date.now()
mergedMessages.sort((a, b) => a.timestamp - b.timestamp)
console.log(`[Merger] Sort elapsed: ${Date.now() - sortStartTime}ms`)
console.log(`[Merger] Messages after merge: ${mergedMessages.length}`)
// 确定平台(使用第一个文件的平台)
const platform = parseResults[0].meta.platform
// 确定群ID和群头像(仅当所有文件都来自同一个群时保留)
const groupIds = new Set(parseResults.map((r) => r.meta.groupId).filter(Boolean))
const groupId = groupIds.size === 1 ? parseResults.find((r) => r.meta.groupId)?.meta.groupId : undefined
// 如果有唯一群ID,使用最后一个文件的群头像(可能是最新的)
const groupAvatar = groupId
? parseResults.filter((r) => r.meta.groupId === groupId).pop()?.meta.groupAvatar
: undefined
// 构建来源信息
const sources: MergeSource[] = parseResults.map(({ reader, source, meta }) => ({
filename: source,
platform: meta.platform,
messageCount: reader.getMessageCount(),
}))
// 构建 ChatLab 格式数据
const chatLabHeader = {
version: '0.0.1',
exportedAt: Math.floor(Date.now() / 1000),
generator: 'ChatLab Merge Tool',
description: `合并自 ${parseResults.length} 个文件`,
}
const chatLabMeta = {
name: outputName,
platform: platform as ChatPlatform,
type: parseResults[0].meta.type as ChatType,
sources,
groupId,
groupAvatar,
}
const chatLabMembers = Array.from(memberMap.values())
// 写入文件
const targetDir = outputDir || getDefaultOutputDir()
ensureOutputDir(targetDir)
const filename = generateOutputFilename(outputName, outputFormat)
const outputPath = path.join(targetDir, filename)
const writeStartTime = Date.now()
if (outputFormat === 'jsonl') {
// JSONL 格式:流式写入,每行一个 JSON 对象
const writeStream = fs.createWriteStream(outputPath, { encoding: 'utf-8' })
// 写入 header 行
writeStream.write(
JSON.stringify({
_type: 'header',
chatlab: chatLabHeader,
meta: chatLabMeta,
}) + '\n'
)
// 写入 member 行
for (const member of chatLabMembers) {
writeStream.write(
JSON.stringify({
_type: 'member',
...member,
}) + '\n'
)
}
// 写入 message 行
for (const msg of mergedMessages) {
writeStream.write(
JSON.stringify({
_type: 'message',
...msg,
}) + '\n'
)
}
writeStream.end()
// 等待写入完成
await new Promise<void>((resolve, reject) => {
writeStream.on('finish', resolve)
writeStream.on('error', reject)
})
console.log(`[Merger] Write JSONL elapsed: ${Date.now() - writeStartTime}ms`)
} else {
// JSON 格式:格式化输出
const chatLabData: ChatLabFormat = {
chatlab: chatLabHeader,
meta: chatLabMeta,
members: chatLabMembers,
messages: mergedMessages,
}
fs.writeFileSync(outputPath, JSON.stringify(chatLabData, null, 2), 'utf-8')
console.log(`[Merger] Write JSON elapsed: ${Date.now() - writeStartTime}ms`)
}
console.log(`[Merger] Total merge elapsed: ${Date.now() - startTime}ms`)
// 如果需要分析,导入数据库
let sessionId: string | undefined
if (andAnalyze) {
const importStartTime = Date.now()
const parseResult: ParseResult = {
meta: {
name: chatLabMeta.name,
platform: chatLabMeta.platform,
type: chatLabMeta.type,
groupId: chatLabMeta.groupId,
groupAvatar: chatLabMeta.groupAvatar,
},
members: chatLabMembers.map((m) => ({
platformId: m.platformId,
accountName: m.accountName,
groupNickname: m.groupNickname,
avatar: m.avatar,
})),
messages: mergedMessages.map((msg) => ({
senderPlatformId: msg.sender,
senderAccountName: msg.accountName,
senderGroupNickname: msg.groupNickname,
timestamp: msg.timestamp,
type: msg.type,
content: msg.content,
})),
}
sessionId = importData(parseResult)
console.log(`[Merger] Database import elapsed: ${Date.now() - importStartTime}ms`)
}
return {
success: true,
outputPath,
sessionId,
}
} catch (err) {
return {
success: false,
error: err instanceof Error ? err.message : '合并失败',
}
} finally {
// 关闭所有 reader
for (const reader of readers) {
reader.close()
}
}
}
// ==================== 从会话数据库导出 ====================
import Database from 'better-sqlite3'
import { getDbPath } from '../database/core'
/**
* 从已导入的会话数据库导出为临时 JSON 文件
* 用于批量管理中的合并功能
*/
export async function exportSessionToTempFile(sessionId: string): Promise<string> {
const dbPath = getDbPath(sessionId)
if (!fs.existsSync(dbPath)) {
throw new Error(`会话数据库不存在: ${sessionId}`)
}
const db = new Database(dbPath, { readonly: true })
try {
// 读取 meta
const meta = db.prepare('SELECT * FROM meta').get() as {
name: string
platform: string
type: string
group_id?: string
group_avatar?: string
}
if (!meta) {
throw new Error('无法读取会话元信息')
}
// 读取 members
const members = db.prepare('SELECT platform_id, account_name, group_nickname, avatar FROM member').all() as Array<{
platform_id: string
account_name?: string
group_nickname?: string
avatar?: string
}>
// 读取 messages(通过 JOIN 获取发送者信息)
const messages = db
.prepare(
`SELECT
m.platform_id as sender,
msg.sender_account_name as accountName,
msg.sender_group_nickname as groupNickname,
msg.ts as timestamp,
msg.type,
msg.content
FROM message msg
JOIN member m ON msg.sender_id = m.id
ORDER BY msg.ts`
)
.all() as Array<{
sender: string
accountName?: string
groupNickname?: string
timestamp: number
type: number
content?: string
}>
// 构建 ChatLab 格式数据
const chatLabData: ChatLabFormat = {
chatlab: {
version: '0.0.1',
exportedAt: Math.floor(Date.now() / 1000),
generator: 'ChatLab Export',
description: `导出自会话: ${meta.name}`,
},
meta: {
name: meta.name,
platform: meta.platform as ChatPlatform,
type: meta.type as ChatType,
groupId: meta.group_id,
groupAvatar: meta.group_avatar,
},
members: members.map((m) => ({
platformId: m.platform_id,
accountName: m.account_name || m.platform_id,
groupNickname: m.group_nickname || undefined,
avatar: m.avatar,
})),
messages: messages.map((msg) => ({
sender: msg.sender,
accountName: msg.accountName || msg.sender,
groupNickname: msg.groupNickname || undefined,
timestamp: msg.timestamp,
type: msg.type as ChatLabMessage['type'],
content: msg.content ?? null,
})),
}
// 写入临时文件
const tempDir = path.join(getDefaultOutputDir(), '.chatlab_temp')
ensureOutputDir(tempDir)
const tempFilePath = path.join(tempDir, `export_${sessionId}_${Date.now()}.json`)
fs.writeFileSync(tempFilePath, JSON.stringify(chatLabData, null, 2), 'utf-8')
console.log(`[Merger] Exporting session to temp file: ${tempFilePath}, message count: ${messages.length}`)
return tempFilePath
} finally {
db.close()
}
}
/**
* 清理临时导出文件
*/
export function cleanupTempExportFiles(filePaths: string[]): void {
for (const filePath of filePaths) {
try {
if (fs.existsSync(filePath)) {
fs.unlinkSync(filePath)
console.log(`[Merger] Cleaning up temp file: ${filePath}`)
}
} catch (err) {
console.error(`[Merger] Failed to clean up temp file: ${filePath}`, err)
}
}
}