mirror of
https://github.com/hicccc77/WeFlow.git
synced 2026-05-24 15:10:55 +00:00
690 lines
24 KiB
TypeScript
690 lines
24 KiB
TypeScript
import https from 'https'
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import http from 'http'
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import { URL } from 'url'
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import { ConfigService } from './config'
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import { chatService, type ChatSession, type Message } from './chatService'
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import { wcdbService } from './wcdbService'
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import {
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groupSummaryRecordService,
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type GroupSummaryLog,
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type GroupSummaryRecord,
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type GroupSummaryRecordFilters,
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type GroupSummaryRecordListResult,
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type GroupSummaryTopic,
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type GroupSummaryTriggerType
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} from './groupSummaryRecordService'
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const API_TIMEOUT_MS = 90_000
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const API_TEMPERATURE = 0.4
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const MIN_SUMMARY_MESSAGES = 5
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const MAX_MANUAL_RANGE_SECONDS = 48 * 60 * 60
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const MAX_MESSAGES_PER_SUMMARY = 3000
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const SUMMARY_CURSOR_BATCH_SIZE = 360
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const SUMMARY_CONFIG_KEYS = new Set([
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'aiGroupSummaryEnabled',
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'aiGroupSummaryIntervalHours',
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'aiGroupSummarySystemPrompt',
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'aiGroupSummaryFilterMode',
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'aiGroupSummaryFilterList',
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'aiModelApiBaseUrl',
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'aiModelApiKey',
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'aiModelApiModel',
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'aiInsightApiBaseUrl',
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'aiInsightApiKey',
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'aiInsightApiModel',
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'dbPath',
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'decryptKey',
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'myWxid'
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])
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type GroupSummaryFilterMode = 'whitelist' | 'blacklist'
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interface SharedAiModelConfig {
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apiBaseUrl: string
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apiKey: string
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model: string
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}
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interface GroupSummaryTriggerResult {
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success: boolean
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message: string
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recordId?: string
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record?: GroupSummaryRecord
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skipped?: boolean
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skippedReason?: string
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}
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class ApiRequestError extends Error {
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statusCode?: number
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responseBody?: string
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constructor(message: string, statusCode?: number, responseBody?: string) {
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super(message)
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this.name = 'ApiRequestError'
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this.statusCode = statusCode
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this.responseBody = responseBody
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}
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}
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function buildApiUrl(baseUrl: string, path: string): string {
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const base = baseUrl.replace(/\/+$/, '')
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const suffix = path.startsWith('/') ? path : `/${path}`
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return `${base}${suffix}`
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}
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function normalizeSessionIdList(value: unknown): string[] {
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if (!Array.isArray(value)) return []
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return Array.from(new Set(value.map((item) => String(item || '').trim()).filter(Boolean)))
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}
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function normalizeIntervalHours(value: unknown): number {
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const allowed = new Set([1, 2, 4, 8, 12, 24])
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const numeric = Math.floor(Number(value) || 4)
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return allowed.has(numeric) ? numeric : 4
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}
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function getStartOfDaySeconds(date: Date = new Date()): number {
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const next = new Date(date)
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next.setHours(0, 0, 0, 0)
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return Math.floor(next.getTime() / 1000)
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}
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function clampText(value: unknown, maxLength: number): string {
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const text = String(value || '').replace(/\s+/g, ' ').trim()
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if (text.length <= maxLength) return text
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return `${text.slice(0, Math.max(0, maxLength - 1))}…`
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}
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function stripJsonFence(value: string): string {
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const text = String(value || '').trim()
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const fenced = text.match(/^```(?:json)?\s*([\s\S]*?)\s*```$/i)
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if (fenced) return fenced[1].trim()
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const firstBrace = text.indexOf('{')
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const lastBrace = text.lastIndexOf('}')
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if (firstBrace >= 0 && lastBrace > firstBrace) {
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return text.slice(firstBrace, lastBrace + 1).trim()
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}
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return text
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}
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function shouldFallbackJsonMode(error: unknown): boolean {
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const statusCode = (error as ApiRequestError)?.statusCode
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if (statusCode === 400 || statusCode === 404 || statusCode === 422) return true
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const text = `${(error as Error)?.message || ''}\n${(error as ApiRequestError)?.responseBody || ''}`.toLowerCase()
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return text.includes('response_format') || text.includes('json_object') || text.includes('json mode')
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}
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function formatTimestamp(createTime: number): string {
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const ms = createTime > 1_000_000_000_000 ? createTime : createTime * 1000
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const date = new Date(ms)
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const year = date.getFullYear()
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const month = String(date.getMonth() + 1).padStart(2, '0')
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const day = String(date.getDate()).padStart(2, '0')
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const hours = String(date.getHours()).padStart(2, '0')
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const minutes = String(date.getMinutes()).padStart(2, '0')
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const seconds = String(date.getSeconds()).padStart(2, '0')
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return `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`
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}
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function callChatCompletions(
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apiBaseUrl: string,
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apiKey: string,
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model: string,
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messages: Array<{ role: string; content: string }>,
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options?: { responseFormatJson?: boolean }
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): Promise<string> {
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return new Promise((resolve, reject) => {
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const endpoint = buildApiUrl(apiBaseUrl, '/chat/completions')
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let urlObj: URL
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try {
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urlObj = new URL(endpoint)
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} catch {
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reject(new Error(`无效的 API URL: ${endpoint}`))
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return
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}
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const payload: Record<string, unknown> = {
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model,
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messages,
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temperature: API_TEMPERATURE,
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stream: false
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}
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if (options?.responseFormatJson) {
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payload.response_format = { type: 'json_object' }
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}
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const body = JSON.stringify(payload)
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const requestOptions = {
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hostname: urlObj.hostname,
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port: urlObj.port || (urlObj.protocol === 'https:' ? 443 : 80),
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path: urlObj.pathname + urlObj.search,
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method: 'POST' as const,
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headers: {
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'Content-Type': 'application/json',
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'Content-Length': Buffer.byteLength(body).toString(),
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Authorization: `Bearer ${apiKey}`
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}
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}
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const requestFn = urlObj.protocol === 'https:' ? https.request : http.request
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const req = requestFn(requestOptions, (res) => {
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let data = ''
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res.on('data', (chunk) => { data += chunk })
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res.on('end', () => {
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try {
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if (res.statusCode && res.statusCode >= 400) {
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reject(new ApiRequestError(`API 请求失败 (${res.statusCode}): ${data.slice(0, 200)}`, res.statusCode, data))
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return
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}
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const parsed = JSON.parse(data)
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const content = parsed?.choices?.[0]?.message?.content
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if (typeof content === 'string' && content.trim()) {
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resolve(content.trim())
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} else {
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reject(new Error(`API 返回格式异常: ${data.slice(0, 200)}`))
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}
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} catch {
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reject(new Error(`JSON 解析失败: ${data.slice(0, 200)}`))
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}
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})
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})
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req.setTimeout(API_TIMEOUT_MS, () => {
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req.destroy()
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reject(new Error('API 请求超时'))
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})
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req.on('error', reject)
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req.write(body)
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req.end()
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})
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}
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function parseTopics(rawOutput: string): GroupSummaryTopic[] {
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const parsed = JSON.parse(stripJsonFence(rawOutput)) as unknown
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if (!parsed || typeof parsed !== 'object') {
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throw new Error('模型输出格式异常：JSON 根节点不是对象')
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}
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const source = parsed as Record<string, unknown>
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const rawTopics = Array.isArray(source.topics) ? source.topics : []
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const topics = rawTopics.map((item, index) => {
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const topic = item && typeof item === 'object' ? item as Record<string, unknown> : {}
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const participantsRaw = Array.isArray(topic.participants) ? topic.participants : []
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const keyPointsRaw = Array.isArray(topic.key_points)
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? topic.key_points
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: (Array.isArray(topic.keyPoints) ? topic.keyPoints : [])
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return {
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title: clampText(topic.title || `话题 ${index + 1}`, 48) || `话题 ${index + 1}`,
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participants: participantsRaw.map((value) => clampText(value, 24)).filter(Boolean).slice(0, 12),
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keyPoints: keyPointsRaw.map((value) => clampText(value, 120)).filter(Boolean).slice(0, 8),
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conclusion: clampText(topic.conclusion, 180) || '无明确结论'
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}
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}).filter((topic) => topic.title || topic.keyPoints.length > 0 || topic.conclusion)
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if (topics.length === 0) {
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throw new Error('模型输出格式异常：topics 为空')
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}
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return topics
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}
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function buildSummaryText(topics: GroupSummaryTopic[]): string {
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return topics.map((topic) => {
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const participants = topic.participants.length > 0 ? topic.participants.join('、') : '未明确'
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const keyPoints = topic.keyPoints.length > 0 ? topic.keyPoints.join('；') : '无'
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return `【${topic.title}】参与者：${participants}。关键/矛盾点：${keyPoints}。结论：${topic.conclusion}`
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}).join('\n')
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}
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function fallbackTopicFromRaw(rawOutput: string): GroupSummaryTopic {
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return {
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title: '未归类总结',
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participants: [],
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keyPoints: [clampText(rawOutput, 500)],
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conclusion: '模型未按固定 JSON 格式返回，请查看完整日志。'
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}
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}
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class GroupSummaryService {
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private config: ConfigService
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private started = false
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private scanTimer: NodeJS.Timeout | null = null
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private processing = false
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private dbConnected = false
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constructor() {
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this.config = ConfigService.getInstance()
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}
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start(): void {
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if (this.started) return
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this.started = true
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void this.refreshConfiguration('startup')
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}
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stop(): void {
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this.started = false
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this.clearTimers()
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this.processing = false
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this.dbConnected = false
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}
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async handleConfigChanged(key: string): Promise<void> {
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const normalizedKey = String(key || '').trim()
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if (!SUMMARY_CONFIG_KEYS.has(normalizedKey)) return
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if (normalizedKey === 'dbPath' || normalizedKey === 'decryptKey' || normalizedKey === 'myWxid') {
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this.dbConnected = false
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groupSummaryRecordService.clearRuntimeCache()
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}
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await this.refreshConfiguration(`config:${normalizedKey}`)
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}
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handleConfigCleared(): void {
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this.clearTimers()
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this.processing = false
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this.dbConnected = false
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groupSummaryRecordService.clearRuntimeCache()
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}
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listRecords(filters?: GroupSummaryRecordFilters): GroupSummaryRecordListResult {
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return groupSummaryRecordService.listRecords(filters || {})
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}
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getRecord(id: string): { success: boolean; record?: GroupSummaryRecord; error?: string } {
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return groupSummaryRecordService.getRecord(id)
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}
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async triggerManual(params: {
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sessionId: string
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displayName?: string
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avatarUrl?: string
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startTime: number
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endTime: number
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}): Promise<GroupSummaryTriggerResult> {
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if (!this.isEnabled()) {
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return { success: false, message: '请先在设置中开启「AI 群聊总结」' }
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}
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const sessionId = String(params?.sessionId || '').trim()
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if (!sessionId.endsWith('@chatroom')) {
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return { success: false, message: 'AI 群聊总结仅支持群聊' }
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}
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const startTime = this.normalizeTimestampSeconds(params?.startTime)
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const endTime = this.normalizeTimestampSeconds(params?.endTime)
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if (startTime <= 0 || endTime <= startTime) {
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return { success: false, message: '请选择有效的总结时段' }
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}
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if (endTime - startTime > MAX_MANUAL_RANGE_SECONDS) {
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return { success: false, message: '手动总结时段不能超过 48 小时' }
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}
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const displayName = String(params?.displayName || sessionId).trim() || sessionId
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const avatarUrl = String(params?.avatarUrl || '').trim() || undefined
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return this.generateSummaryForPeriod({
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sessionId,
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displayName,
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avatarUrl,
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periodStart: startTime,
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periodEnd: endTime,
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triggerType: 'manual'
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})
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}
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private async refreshConfiguration(_reason: string): Promise<void> {
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if (!this.started) return
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this.clearTimers()
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if (!this.isEnabled()) return
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await this.runDueAutoSummaries()
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this.scheduleNextAutoRun()
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}
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private isEnabled(): boolean {
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return this.config.get('aiGroupSummaryEnabled') === true
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}
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private clearTimers(): void {
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if (this.scanTimer !== null) {
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clearTimeout(this.scanTimer)
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this.scanTimer = null
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}
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}
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private scheduleNextAutoRun(): void {
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if (!this.started || !this.isEnabled()) return
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const intervalHours = normalizeIntervalHours(this.config.get('aiGroupSummaryIntervalHours'))
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const now = Math.floor(Date.now() / 1000)
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const dayStart = getStartOfDaySeconds(new Date())
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const intervalSeconds = intervalHours * 60 * 60
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const elapsed = Math.max(0, now - dayStart)
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const nextBoundary = dayStart + (Math.floor(elapsed / intervalSeconds) + 1) * intervalSeconds
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const delayMs = Math.max(1_000, (nextBoundary - now) * 1000 + 1_000)
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this.scanTimer = setTimeout(async () => {
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this.scanTimer = null
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await this.runDueAutoSummaries()
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this.scheduleNextAutoRun()
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}, delayMs)
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}
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private async ensureConnected(): Promise<boolean> {
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if (this.dbConnected) return true
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const result = await chatService.connect()
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this.dbConnected = result.success === true
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return this.dbConnected
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}
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private getSharedAiModelConfig(): SharedAiModelConfig {
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const apiBaseUrl = String(
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this.config.get('aiModelApiBaseUrl')
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|| this.config.get('aiInsightApiBaseUrl')
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|| ''
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).trim()
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const apiKey = String(
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this.config.get('aiModelApiKey')
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|| this.config.get('aiInsightApiKey')
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|| ''
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).trim()
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const model = String(
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this.config.get('aiModelApiModel')
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|| this.config.get('aiInsightApiModel')
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|| 'gpt-4o-mini'
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).trim() || 'gpt-4o-mini'
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return { apiBaseUrl, apiKey, model }
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}
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private getFilterConfig(): { mode: GroupSummaryFilterMode; list: string[] } {
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const rawMode = String(this.config.get('aiGroupSummaryFilterMode') || '').trim()
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const mode: GroupSummaryFilterMode = rawMode === 'blacklist' ? 'blacklist' : 'whitelist'
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const list = normalizeSessionIdList(this.config.get('aiGroupSummaryFilterList'))
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.filter((sessionId) => sessionId.endsWith('@chatroom'))
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return { mode, list }
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}
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private isAutoSessionAllowed(sessionId: string): boolean {
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const { mode, list } = this.getFilterConfig()
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if (mode === 'whitelist') return list.includes(sessionId)
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return !list.includes(sessionId)
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}
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private normalizeTimestampSeconds(value: unknown): number {
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const numeric = Number(value || 0)
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if (!Number.isFinite(numeric) || numeric <= 0) return 0
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let normalized = Math.floor(numeric)
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while (normalized > 10000000000) {
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normalized = Math.floor(normalized / 1000)
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}
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return normalized
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}
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private getCompletedPeriodsToday(): Array<{ start: number; end: number }> {
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const intervalHours = normalizeIntervalHours(this.config.get('aiGroupSummaryIntervalHours'))
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const intervalSeconds = intervalHours * 60 * 60
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const dayStart = getStartOfDaySeconds(new Date())
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const now = Math.floor(Date.now() / 1000)
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const periods: Array<{ start: number; end: number }> = []
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for (let start = dayStart; start + intervalSeconds <= now; start += intervalSeconds) {
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periods.push({ start, end: start + intervalSeconds })
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}
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return periods
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}
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private async runDueAutoSummaries(): Promise<void> {
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if (!this.started || !this.isEnabled() || this.processing) return
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this.processing = true
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try {
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const { apiBaseUrl, apiKey } = this.getSharedAiModelConfig()
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if (!apiBaseUrl || !apiKey) return
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const { mode, list } = this.getFilterConfig()
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if (mode === 'whitelist' && list.length === 0) return
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if (!await this.ensureConnected()) return
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const sessionsResult = await chatService.getSessions()
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if (!sessionsResult.success || !Array.isArray(sessionsResult.sessions)) return
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const groupSessions = (sessionsResult.sessions as ChatSession[])
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.filter((session) => String(session.username || '').trim().endsWith('@chatroom'))
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.filter((session) => this.isAutoSessionAllowed(String(session.username || '').trim()))
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const periods = this.getCompletedPeriodsToday()
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for (const period of periods) {
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for (const session of groupSessions) {
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if (!this.started || !this.isEnabled()) return
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const sessionId = String(session.username || '').trim()
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if (!sessionId) continue
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if (groupSummaryRecordService.hasAutoRecord(sessionId, period.start, period.end)) continue
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await this.generateSummaryForPeriod({
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sessionId,
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displayName: session.displayName || sessionId,
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avatarUrl: session.avatarUrl,
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periodStart: period.start,
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periodEnd: period.end,
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triggerType: 'auto'
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})
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}
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}
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} catch (error) {
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console.warn('[GroupSummaryService] 自动总结失败:', error)
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} finally {
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this.processing = false
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}
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}
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private async readMessagesInPeriod(sessionId: string, startTime: number, endTime: number): Promise<Message[]> {
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if (!await this.ensureConnected()) {
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throw new Error('数据库连接失败，请先在“数据库连接”页完成配置')
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}
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const cursorResult = await wcdbService.openMessageCursorLite(
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sessionId,
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SUMMARY_CURSOR_BATCH_SIZE,
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true,
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startTime,
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endTime
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)
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if (!cursorResult.success || !cursorResult.cursor) {
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throw new Error(cursorResult.error || '打开消息游标失败')
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}
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const cursor = cursorResult.cursor
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const messages: Message[] = []
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try {
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let hasMore = true
|
||
while (hasMore && messages.length < MAX_MESSAGES_PER_SUMMARY) {
|
||
const batch = await wcdbService.fetchMessageBatch(cursor)
|
||
if (!batch.success) {
|
||
throw new Error(batch.error || '读取消息失败')
|
||
}
|
||
hasMore = batch.hasMore === true
|
||
const rows = Array.isArray(batch.rows) ? batch.rows as Record<string, any>[] : []
|
||
if (rows.length === 0) {
|
||
if (!hasMore) break
|
||
continue
|
||
}
|
||
const mapped = chatService.mapRowsToMessagesForApi(rows, sessionId)
|
||
for (const message of mapped) {
|
||
const createTime = Number(message.createTime || 0)
|
||
if (createTime < startTime || createTime > endTime) continue
|
||
messages.push(message)
|
||
if (messages.length >= MAX_MESSAGES_PER_SUMMARY) break
|
||
}
|
||
}
|
||
} finally {
|
||
await wcdbService.closeMessageCursor(cursor).catch(() => {})
|
||
}
|
||
|
||
return messages.sort((a, b) => {
|
||
if (a.createTime !== b.createTime) return a.createTime - b.createTime
|
||
if (a.sortSeq !== b.sortSeq) return a.sortSeq - b.sortSeq
|
||
return a.localId - b.localId
|
||
})
|
||
}
|
||
|
||
private normalizeMessageText(message: Message): string {
|
||
const parsedContent = String(message.parsedContent || '').replace(/\s+/g, ' ').trim()
|
||
const quotedContent = String(message.quotedContent || '').replace(/\s+/g, ' ').trim()
|
||
const quotedSender = String(message.quotedSender || '').replace(/\s+/g, ' ').trim()
|
||
let text = parsedContent
|
||
if (quotedContent) {
|
||
const quote = quotedSender ? `${quotedSender}：${quotedContent}` : quotedContent
|
||
text = text && text !== '[引用消息]' ? `${text} [引用 ${quote}]` : `[引用 ${quote}]`
|
||
}
|
||
if (!text) {
|
||
text = String(message.linkTitle || message.fileName || message.appMsgDesc || '').replace(/\s+/g, ' ').trim()
|
||
}
|
||
if (!text) return ''
|
||
if (/^<\?xml|^<msg\b|^<appmsg\b|^<img\b|^<emoji\b/i.test(text)) return ''
|
||
return text
|
||
}
|
||
|
||
private async buildTranscript(sessionId: string, messages: Message[]): Promise<{ transcript: string; readableMessages: Message[] }> {
|
||
const readableMessages = messages.filter((message) => this.normalizeMessageText(message))
|
||
const senderIds = Array.from(new Set(
|
||
readableMessages
|
||
.map((message) => String(message.senderUsername || '').trim())
|
||
.filter(Boolean)
|
||
))
|
||
const contacts = senderIds.length > 0
|
||
? (await chatService.enrichSessionsContactInfo(senderIds).catch(() => null))?.contacts || {}
|
||
: {}
|
||
const myWxid = String(this.config.getMyWxidCleaned() || '').trim()
|
||
|
||
const lines = readableMessages.map((message) => {
|
||
const senderUsername = String(message.senderUsername || '').trim()
|
||
const senderName = message.isSend === 1 || (senderUsername && myWxid && senderUsername === myWxid)
|
||
? '我'
|
||
: (contacts[senderUsername]?.displayName || senderUsername || '未知成员')
|
||
return `${formatTimestamp(message.createTime)} ${senderName}：${this.normalizeMessageText(message)}`
|
||
})
|
||
|
||
return {
|
||
transcript: lines.join('\n'),
|
||
readableMessages
|
||
}
|
||
}
|
||
|
||
private async generateSummaryForPeriod(params: {
|
||
sessionId: string
|
||
displayName: string
|
||
avatarUrl?: string
|
||
periodStart: number
|
||
periodEnd: number
|
||
triggerType: GroupSummaryTriggerType
|
||
}): Promise<GroupSummaryTriggerResult> {
|
||
const { apiBaseUrl, apiKey, model } = this.getSharedAiModelConfig()
|
||
if (!apiBaseUrl || !apiKey) {
|
||
return { success: false, message: '请先填写通用 AI 模型配置（API 地址和 Key）' }
|
||
}
|
||
|
||
try {
|
||
const messages = await this.readMessagesInPeriod(params.sessionId, params.periodStart, params.periodEnd)
|
||
const { transcript, readableMessages } = await this.buildTranscript(params.sessionId, messages)
|
||
if (readableMessages.length < MIN_SUMMARY_MESSAGES) {
|
||
return {
|
||
success: true,
|
||
skipped: true,
|
||
skippedReason: 'message_count_too_low',
|
||
message: `该时段可总结消息少于 ${MIN_SUMMARY_MESSAGES} 条，已跳过`
|
||
}
|
||
}
|
||
|
||
const defaultSystemPrompt = `你是一个群聊会议纪要式总结助手。你只根据用户提供的群聊记录总结，不编造记录中没有的信息。
|
||
|
||
严格要求：
|
||
1. 必须且只能输出合法纯 JSON，禁止 Markdown 和解释说明。
|
||
2. 按话题分类总结，每个话题包含参与者、关键/矛盾点、结论。
|
||
3. 参与者写群成员显示名；不确定参与者时写已有发言人。
|
||
4. 关键/矛盾点必须来自聊天记录，避免泛泛而谈。
|
||
5. 结论要短、具体；没有结论时写“暂无明确结论”。
|
||
|
||
JSON 输出格式：
|
||
{
|
||
"topics": [
|
||
{
|
||
"title": "话题名称",
|
||
"participants": ["参与者A", "参与者B"],
|
||
"key_points": ["关键点或矛盾点"],
|
||
"conclusion": "结论"
|
||
}
|
||
]
|
||
}`
|
||
const customPrompt = String(this.config.get('aiGroupSummarySystemPrompt') || '').trim()
|
||
const systemPrompt = customPrompt ? `${defaultSystemPrompt}\n\n用户补充要求：\n${customPrompt}` : defaultSystemPrompt
|
||
const userPrompt = `群聊：${params.displayName}
|
||
总结时段：${formatTimestamp(params.periodStart)} 至 ${formatTimestamp(params.periodEnd)}
|
||
消息数量：${readableMessages.length}
|
||
|
||
群聊记录：
|
||
${transcript}
|
||
|
||
请只输出指定 JSON。`
|
||
const endpoint = buildApiUrl(apiBaseUrl, '/chat/completions')
|
||
const requestMessages = [
|
||
{ role: 'system', content: systemPrompt },
|
||
{ role: 'user', content: userPrompt }
|
||
]
|
||
|
||
let rawOutput = ''
|
||
let responseFormatJson = true
|
||
let responseFormatFallback = false
|
||
let responseFormatFallbackReason = ''
|
||
const startedAt = Date.now()
|
||
try {
|
||
rawOutput = await callChatCompletions(apiBaseUrl, apiKey, model, requestMessages, { responseFormatJson: true })
|
||
} catch (error) {
|
||
if (!shouldFallbackJsonMode(error)) throw error
|
||
responseFormatJson = false
|
||
responseFormatFallback = true
|
||
responseFormatFallbackReason = (error as Error).message || 'response_format 不受支持'
|
||
rawOutput = await callChatCompletions(apiBaseUrl, apiKey, model, requestMessages)
|
||
}
|
||
|
||
let topics: GroupSummaryTopic[]
|
||
let finalSummary: string
|
||
try {
|
||
topics = parseTopics(rawOutput)
|
||
finalSummary = buildSummaryText(topics)
|
||
} catch {
|
||
topics = [fallbackTopicFromRaw(rawOutput)]
|
||
finalSummary = buildSummaryText(topics)
|
||
}
|
||
|
||
const log: GroupSummaryLog = {
|
||
endpoint,
|
||
model,
|
||
temperature: API_TEMPERATURE,
|
||
triggerType: params.triggerType,
|
||
periodStart: params.periodStart,
|
||
periodEnd: params.periodEnd,
|
||
messageCount: messages.length,
|
||
readableMessageCount: readableMessages.length,
|
||
systemPrompt,
|
||
userPrompt,
|
||
rawOutput,
|
||
finalSummary,
|
||
durationMs: Date.now() - startedAt,
|
||
createdAt: Date.now(),
|
||
responseFormatJson,
|
||
responseFormatFallback,
|
||
responseFormatFallbackReason,
|
||
parsedTopics: topics
|
||
}
|
||
|
||
const record = groupSummaryRecordService.addRecord({
|
||
sessionId: params.sessionId,
|
||
displayName: params.displayName,
|
||
avatarUrl: params.avatarUrl,
|
||
triggerType: params.triggerType,
|
||
periodStart: params.periodStart,
|
||
periodEnd: params.periodEnd,
|
||
messageCount: messages.length,
|
||
readableMessageCount: readableMessages.length,
|
||
topics,
|
||
summaryText: finalSummary,
|
||
rawOutput,
|
||
log
|
||
})
|
||
|
||
return { success: true, message: '群聊总结已生成', recordId: record.id, record }
|
||
} catch (error) {
|
||
return { success: false, message: `生成失败：${(error as Error).message || String(error)}` }
|
||
}
|
||
}
|
||
}
|
||
|
||
export const groupSummaryService = new GroupSummaryService()
|