mirror of
https://github.com/geekgeekrun/geekgeekrun.git
synced 2026-05-11 18:09:50 +08:00
add feature for customize open message
This commit is contained in:
@@ -1,2 +1,7 @@
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export const SINGLE_ITEM_DEFAULT_SERVE_WEIGHT = 1
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export const EXPECT_CHROMIUM_BUILD_ID = '139.0.7258.154'
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export const DEFAULT_CONSTANT_OPEN_CONTENT_SEGS = [
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`您好,我对贵公司岗位很感兴趣,希望能有机会进一步沟通,期待您的回复`,
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`接下来的聊天,我将根据我简历里的内容,向您进行自我介绍`
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]
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@@ -18,6 +18,16 @@ export enum RECHAT_LLM_FALLBACK {
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EXIT_REMINDER_PROGRAM = 2
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}
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export enum OPEN_CONTENT_SOURCE {
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CONSTANT_CONTENT = 1,
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GEMINI_WITH_CHAT_CONTEXT = 2
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}
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// export enum OPEN_LLM_FALLBACK {
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// SEND_CONSTANT_CONTENT = 1,
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// EXIT_REMINDER_PROGRAM = 2
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// }
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export enum RUNNING_STATUS_ENUM {
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RUNNING = 0,
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NORMAL_EXITED = 1,
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@@ -32,7 +32,7 @@ import {
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requestNewMessageContent
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} from '../../READ_NO_REPLY_AUTO_REMINDER_MAIN/boss-operation'
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import {
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autoReminderPromptTemplateFileName,
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defaultPromptMap,
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writeDefaultAutoRemindPrompt
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} from '../../READ_NO_REPLY_AUTO_REMINDER_MAIN/boss-operation'
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import {
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@@ -466,17 +466,19 @@ export default function initIpc() {
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const res = (await readConfigFile('resumes.json'))?.[0]
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return res?.content ?? null
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})
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ipcMain.on('no-reply-reminder-prompt-edit', async () => {
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const template = await readStorageFile(autoReminderPromptTemplateFileName, { isJson: false })
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ipcMain.on('no-reply-reminder-prompt-edit', async (_, { type }) => {
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const template = await readStorageFile(defaultPromptMap[type].fileName, {
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isJson: false
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})
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if (!template) {
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await writeDefaultAutoRemindPrompt()
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await writeDefaultAutoRemindPrompt({ type })
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}
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const filePath = path.join(storageFilePath, autoReminderPromptTemplateFileName)
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const filePath = path.join(storageFilePath, defaultPromptMap[type].fileName)
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shell.openPath(filePath)
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})
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ipcMain.on('close-resume-editor', () => resumeEditorWindow?.close())
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ipcMain.handle('check-if-auto-remind-prompt-valid', async () => {
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await getValidTemplate()
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ipcMain.handle('check-if-auto-remind-prompt-valid', async (_, { type }) => {
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await getValidTemplate({ type })
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})
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ipcMain.handle('check-is-resume-content-valid', async () => {
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const res = (await readConfigFile('resumes.json'))?.[0]
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@@ -486,8 +488,8 @@ export default function initIpc() {
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const res = (await readConfigFile('resumes.json'))?.[0]
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return resumeContentEnoughDetect(res)
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})
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ipcMain.handle('overwrite-auto-remind-prompt-with-default', async () => {
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await writeDefaultAutoRemindPrompt()
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ipcMain.handle('overwrite-auto-remind-prompt-with-default', async (_, { type }) => {
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await writeDefaultAutoRemindPrompt({ type })
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})
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ipcMain.handle('check-if-llm-config-list-valid', async () => {
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const llmConfigList = await readConfigFile('llm.json')
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@@ -60,7 +60,10 @@ const pickLlmConfigFromList = (llmConfigList, blockModelSet) => {
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// let _index = 0
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const RESUME_PLACEHOLDER = `__REPLACE_REAL_RESUME_HERE__`
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const defaultPrompt = `**核心指令:**
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export const defaultPromptMap = {
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rechat: {
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fileName: 'auto-reminder-resume-system-message-template.md',
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content: `**核心指令:**
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你是一个智能求职助手,需要根据用户简历生成30字左右的提醒消息,满足以下要求:
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1. 每次生成需满足:
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- √ 包含1个核心技能 + 1个成果量化
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@@ -94,15 +97,21 @@ const defaultPrompt = `**核心指令:**
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**输出格式:**
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请确保仅回复一句话,以JSON响应,不要包含其他解释或内容;数据结构参考:\`{"response": "这里是将会发送给招聘者的内容"}\``
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export const autoReminderPromptTemplateFileName = 'auto-reminder-resume-system-message-template.md'
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export const getValidTemplate = async () => {
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let template = await readStorageFile(autoReminderPromptTemplateFileName, { isJson: false })
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if (!template) {
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await writeDefaultAutoRemindPrompt()
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template = defaultPrompt
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},
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open: {
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fileName: 'auto-reminder-open-message-template.md',
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content:
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'请根据我的简历,帮我写一句谦逊有礼貌的开场白。开头包含“您好”等类似敬语、结尾包含“期待回复”等类似话术。不必包含简历中的具体内容,但需要表达出应聘意向。请确保仅响应一句话,以JSON响应;数据结构参考:`{"response": "这里是将会发送给招聘者的内容"}`'
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}
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if (!template.includes(RESUME_PLACEHOLDER)) {
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}
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export const getValidTemplate = async ({ type }) => {
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let template = await readStorageFile(defaultPromptMap[type].fileName, { isJson: false })
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if (!template) {
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await writeDefaultAutoRemindPrompt({ type })
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template = defaultPromptMap[type].content
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}
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if (type === 'rechat' && !template.includes(RESUME_PLACEHOLDER)) {
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const e = new Error(`简历内容占位符字符串不存在。占位字符串是 ${RESUME_PLACEHOLDER}`)
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e.name = `RESUME_PLACEHOLDER_NOT_EXIST`
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throw e
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@@ -110,8 +119,19 @@ export const getValidTemplate = async () => {
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return template
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}
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export const writeDefaultAutoRemindPrompt = async () => {
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await writeStorageFile(autoReminderPromptTemplateFileName, defaultPrompt, { isJson: false })
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export const writeDefaultAutoRemindPrompt = async ({ type }) => {
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switch (type) {
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case 'rechat':
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await writeStorageFile(defaultPromptMap[type].fileName, defaultPromptMap[type].content, {
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isJson: false
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})
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break
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case 'open':
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await writeStorageFile(defaultPromptMap[type].fileName, defaultPromptMap[type].content, {
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isJson: false
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})
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break
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}
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}
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export const requestNewMessageContent = async (
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@@ -119,24 +139,26 @@ export const requestNewMessageContent = async (
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{
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requestScene,
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llmConfigIdForPick
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}: { requestScene?: RequestSceneEnum; llmConfigIdForPick?: string[] } = {}
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}: {
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requestScene?: RequestSceneEnum
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llmConfigIdForPick?: string[]
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} = {}
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) => {
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const template = await getValidTemplate()
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const systemMessageTemplate = await getValidTemplate({ type: 'rechat' })
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const resumeObject = (await readConfigFile('resumes.json'))?.[0]
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const resumeContent = formatResumeJsonToMarkdown(resumeObject)
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const chatList = [
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{
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role: 'system',
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content: template.replace(RESUME_PLACEHOLDER, resumeContent)
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content: systemMessageTemplate.replace(RESUME_PLACEHOLDER, resumeContent)
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}
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]
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const openMessageTemplate = await getValidTemplate({ type: 'open' })
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chatList.push({
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role: 'user',
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content:
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'请根据我的简历,帮我写一句谦逊有礼貌的开场白。开头包含“您好”等类似敬语、结尾包含“期待回复”等类似话术。不必包含简历中的具体内容,但需要表达出应聘意向。请确保仅响应一句话,以JSON响应;数据结构参考:`{"response": "这里是将会发送给招聘者的内容"}`'
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content: openMessageTemplate
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})
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// chatRecords = chatRecords.slice(chatRecords.length - _index)
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// debugger
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for (const record of chatRecords) {
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const assistantJsonContent = JSON.stringify({
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response: record.text
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@@ -246,14 +268,18 @@ export const requestNewMessageContent = async (
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}
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}
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export async function sendGptContent(page: Page, chatRecords) {
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export async function getGptContent(chatRecords) {
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const textToSend = (
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await requestNewMessageContent(chatRecords, {
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requestScene: RequestSceneEnum.readNoReplyAutoReminder
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})
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).responseText
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return textToSend
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}
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export async function sendMessage(page: Page, textToSend: string) {
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const chatInputSelector = `.chat-conversation .message-controls .chat-input`
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const chatInputHandle = await page.$(chatInputSelector)
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const chatInputHandle = (await page.$(chatInputSelector))!
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await chatInputHandle.click()
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await sleep(500)
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await chatInputHandle.click()
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@@ -1,7 +1,7 @@
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import { bootstrap, launchBoss } from './bootstrap'
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import { MsgStatus, type ChatListItem } from './types'
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import { Browser, Page } from 'puppeteer'
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import { sendGptContent, sendLookForwardReplyEmotion } from './boss-operation'
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import { getGptContent, sendLookForwardReplyEmotion, sendMessage } from './boss-operation'
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import { sleep, sleepWithRandomDelay } from '@geekgeekrun/utils/sleep.mjs'
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import { waitForPage } from '@geekgeekrun/utils/puppeteer/wait.mjs'
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import { app, dialog } from 'electron'
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@@ -24,6 +24,7 @@ import { BossInfo } from '@geekgeekrun/sqlite-plugin/dist/entity/BossInfo'
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import { messageForSaveFilter } from '../../../common/utils/chat-list'
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import {
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AUTO_CHAT_ERROR_EXIT_CODE,
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OPEN_CONTENT_SOURCE,
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RECHAT_CONTENT_SOURCE,
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RECHAT_LLM_FALLBACK
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} from '../../../common/enums/auto-start-chat'
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@@ -40,6 +41,7 @@ import { loginWithCookieAssistant } from '../../features/login-with-cookie-assis
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import initPublicIpc from '../../utils/initPublicIpc'
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import { getLastUsedAndAvailableBrowser } from '../DOWNLOAD_DEPENDENCIES/utils/browser-history'
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import { configWithBrowserAssistant } from '../../features/config-with-browser-assistant'
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import { DEFAULT_CONSTANT_OPEN_CONTENT_SEGS } from '../../../common/constant'
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process.on('SIGTERM', () => {
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console.log('收到SIGTERM信号,正在退出')
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@@ -87,6 +89,21 @@ const onlyRemindBossWithoutBlockCompanyName =
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readConfigFile('boss.json').autoReminder?.onlyRemindBossWithoutBlockCompanyName ??
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!!blockCompanyNameRegExp
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const openContentSource = readConfigFile('boss.json').autoReminder?.openContentSource ?? OPEN_CONTENT_SOURCE.CONSTANT_CONTENT
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const constantOpenContent = (() => {
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let constantOpenContent = readConfigFile('boss.json').autoReminder?.constantOpenContent ?? ''
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if (constantOpenContent?.trim?.()) {
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return constantOpenContent
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} else {
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if (rechatContentSource === RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT) {
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constantOpenContent = DEFAULT_CONSTANT_OPEN_CONTENT_SEGS.join(`;`)
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} else {
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constantOpenContent = DEFAULT_CONSTANT_OPEN_CONTENT_SEGS[0]
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}
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}
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return constantOpenContent
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})()
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const dbInitPromise = initDb(getPublicDbFilePath())
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export const pageMapByName: {
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@@ -582,30 +599,50 @@ const mainLoop = async () => {
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(throttleIntervalMinutes + 4 * Math.random()) * 60 * 1000
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) {
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await sleepWithRandomDelay(3250)
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if (rechatContentSource === RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT) {
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try {
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const messageListForGpt = historyMessageList
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.filter((it) => it.bizType !== 101 && it.isSelf)
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.slice(-recentMessageQuantityForLlm)
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await sendGptContent(pageMapByName.boss!, messageListForGpt)
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const messageList = historyMessageList
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.filter((it) => it.bizType !== 101 && it.isSelf)
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.slice(-recentMessageQuantityForLlm)
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if (!messageList?.length) {
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if (openContentSource === OPEN_CONTENT_SOURCE.CONSTANT_CONTENT) {
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await sendMessage(pageMapByName.boss!, constantOpenContent)
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gtag('rnrr_llm_content_sent')
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} catch (err) {
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console.log(err)
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if (rechatLlmFallback === RECHAT_LLM_FALLBACK.SEND_LOOK_FORWARD_EMOTION) {
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await sendLookForwardReplyEmotion(pageMapByName.boss!)
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} else {
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try {
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const textToSend = await getGptContent(messageList)
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await sendMessage(pageMapByName.boss!, textToSend)
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gtag('rnrr_llm_content_sent')
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} catch (err) {
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console.log(err)
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await sendMessage(pageMapByName.boss!, constantOpenContent)
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gtag('rnrr_look_forward_reply_emotion_sent', {
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fallback: true
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})
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} else {
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gtag('rnrr_encounter_error', {
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error: err
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})
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throw err
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}
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}
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} else {
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await sendLookForwardReplyEmotion(pageMapByName.boss!)
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gtag('rnrr_look_forward_reply_emotion_sent')
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if (rechatContentSource === RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT) {
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try {
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const textToSend = await getGptContent(messageList)
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await sendMessage(pageMapByName.boss!, textToSend)
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gtag('rnrr_llm_content_sent')
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} catch (err) {
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console.log(err)
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if (rechatLlmFallback === RECHAT_LLM_FALLBACK.SEND_LOOK_FORWARD_EMOTION) {
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await sendLookForwardReplyEmotion(pageMapByName.boss!)
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gtag('rnrr_look_forward_reply_emotion_sent', {
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fallback: true
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})
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} else {
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gtag('rnrr_encounter_error', {
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error: err
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})
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throw err
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}
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}
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} else {
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await sendLookForwardReplyEmotion(pageMapByName.boss!)
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gtag('rnrr_look_forward_reply_emotion_sent')
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}
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}
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} else {
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cursorToContinueFind += 1
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@@ -54,7 +54,77 @@
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</template>
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</div>
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</el-form-item>
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<el-form-item class="mb0" label="跟进话术 - 当发现已读不回的BOSS时,将要向BOSS发出:">
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<el-form-item label="开场白话术">
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<el-radio-group v-model="formContent.autoReminder.openContentSource" w-full>
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<div w-full>
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<el-radio :label="OPEN_CONTENT_SOURCE.CONSTANT_CONTENT"> 固定文案 </el-radio>
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<el-input
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v-if="
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formContent.autoReminder.openContentSource ===
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OPEN_CONTENT_SOURCE.CONSTANT_CONTENT
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"
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v-model="formContent.autoReminder.constantOpenContent"
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w-full
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:autosize="{ minRows: 3 }"
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max-h-8lh
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type="textarea"
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:placeholder="defaultConstantOpenContent"
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class="pl-30px mb10px"
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:style="{
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boxSizing: 'border-box'
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}"
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/>
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</div>
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<div>
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<el-radio :label="OPEN_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT">
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由大语言模型生成的内容
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</el-radio>
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<div
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v-if="
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formContent.autoReminder.openContentSource ===
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OPEN_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT
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"
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ml30px
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>
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<el-form-item class="mb4px">
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<div>
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<div>
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<el-button
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size="small"
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type="primary"
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@click="
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handleClickEditPrompt({
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type: 'open'
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})
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"
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>
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使用外部编辑器编辑“开场白话术”提示词模板 (Markdown)
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</el-button>
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<el-button
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size="small"
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type="primary"
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@click="
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() => {
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restoreDefaultTemplate({
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type: 'open',
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gaEvName: 'reset_template_clicked_in_main_form'
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})
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}
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"
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>
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还原默认“开场白话术”提示词模板
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</el-button>
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</div>
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<div class="font-size-12px color-#666">
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对生成效果不够满意?可在此查看、编辑“开场白话术”提示词模板。
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</div>
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</div>
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</el-form-item>
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</div>
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</div>
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</el-radio-group>
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</el-form-item>
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<el-form-item label="跟进话术 - 当发现已读不回的BOSS时,将要向BOSS发出:">
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<el-radio-group v-model="formContent.autoReminder.rechatContentSource">
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<div>
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<el-tooltip
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@@ -71,91 +141,117 @@
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</el-radio>
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</el-tooltip>
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||||
<br />
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<el-radio :label="RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT">
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由大语言模型(根据简历及当前聊天上下文)生成的内容
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</el-radio>
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<div>
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<el-radio :label="RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT">
|
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由大语言模型(根据简历及当前聊天上下文)生成的内容
|
||||
</el-radio>
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||||
<div
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||||
v-if="
|
||||
formContent.autoReminder.rechatContentSource ===
|
||||
RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT
|
||||
"
|
||||
ml30px
|
||||
>
|
||||
<el-form-item class="mb4px">
|
||||
<div>
|
||||
<div>
|
||||
<el-button
|
||||
size="small"
|
||||
type="primary"
|
||||
@click="
|
||||
handleClickEditPrompt({
|
||||
type: 'rechat'
|
||||
})
|
||||
"
|
||||
>
|
||||
使用外部编辑器编辑“跟进话术”提示词模板 (Markdown)
|
||||
</el-button>
|
||||
<el-button
|
||||
size="small"
|
||||
type="primary"
|
||||
@click="
|
||||
() => {
|
||||
restoreDefaultTemplate({
|
||||
type: 'rechat',
|
||||
gaEvName: 'reset_template_clicked_in_main_form'
|
||||
})
|
||||
}
|
||||
"
|
||||
>
|
||||
还原默认“跟进话术”提示词模板
|
||||
</el-button>
|
||||
</div>
|
||||
<div class="font-size-12px color-#666">
|
||||
对生成效果不够满意?可在此查看、编辑“跟进话术”提示词模板。请在模板中需要插入简历的位置插入
|
||||
__REPLACE_REAL_RESUME_HERE__
|
||||
</div>
|
||||
</div>
|
||||
</el-form-item>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</el-radio-group>
|
||||
</el-form-item>
|
||||
<div class="ml-30px">
|
||||
<div mt10px>
|
||||
<el-form-item mb0 label="大语言模型公共设置及效果预览" />
|
||||
<template
|
||||
v-if="
|
||||
formContent.autoReminder.rechatContentSource ===
|
||||
RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT
|
||||
[
|
||||
formContent.autoReminder.rechatContentSource,
|
||||
formContent.autoReminder.openContentSource
|
||||
].includes(RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT)
|
||||
"
|
||||
>
|
||||
<el-form-item class="mb4px">
|
||||
<div>
|
||||
<el-button size="small" type="primary" @click="handleClickEditResume">
|
||||
编辑简历
|
||||
</el-button>
|
||||
<div class="font-size-12px color-#666">
|
||||
简历内容将提交给大语言模型,以用于生成已读不回提醒消息;提交内容及生成消息中不会包含期望薪资
|
||||
</div>
|
||||
</div>
|
||||
</el-form-item>
|
||||
<el-form-item class="mb4px">
|
||||
<div>
|
||||
<div ml-30px>
|
||||
<el-form-item class="mb4px">
|
||||
<div>
|
||||
<el-button size="small" type="primary" @click="handleClickEditPrompt">
|
||||
使用外部编辑器编辑提示词模板 (Markdown)
|
||||
<el-button size="small" type="primary" @click="handleClickEditResume">
|
||||
编辑简历
|
||||
</el-button>
|
||||
<el-button
|
||||
size="small"
|
||||
type="primary"
|
||||
@click="
|
||||
() => {
|
||||
gtagRenderer('reset_template_clicked_in_main_form')
|
||||
restoreDefaultTemplate()
|
||||
}
|
||||
"
|
||||
<div class="font-size-12px color-#666">
|
||||
简历内容将提交给大语言模型,以用于生成已读不回提醒消息;提交内容及生成消息中不会包含期望薪资
|
||||
</div>
|
||||
</div>
|
||||
</el-form-item>
|
||||
<el-form-item prop="recentMessageQuantityForLlm">
|
||||
<div>
|
||||
携带最近
|
||||
<el-input-number
|
||||
v-model="formContent.autoReminder.recentMessageQuantityForLlm"
|
||||
class="w-120px"
|
||||
:min="8"
|
||||
:max="20"
|
||||
:precision="0"
|
||||
:step="1"
|
||||
></el-input-number>
|
||||
次聊天内容作为上下文生成新消息
|
||||
</div>
|
||||
</el-form-item>
|
||||
<el-form-item label="当配置的所有大模型均不可使用时">
|
||||
<div class="flex flex-items-center">
|
||||
<el-select
|
||||
v-model="formContent.autoReminder.rechatLlmFallback"
|
||||
class="w200px"
|
||||
label="name"
|
||||
>
|
||||
还原默认提示词模板
|
||||
</el-button>
|
||||
<el-option
|
||||
v-for="option in rechatLlmFallbackOptions"
|
||||
:key="option.value"
|
||||
:value="option.value"
|
||||
:label="option.name"
|
||||
/>
|
||||
</el-select>
|
||||
</div>
|
||||
<div class="font-size-12px color-#666">
|
||||
对生成效果不够满意?可在此查看、编辑提示词模板。请在模板中需要插入简历的位置插入
|
||||
__REPLACE_REAL_RESUME_HERE__
|
||||
</div>
|
||||
</div>
|
||||
</el-form-item>
|
||||
<el-form-item prop="recentMessageQuantityForLlm">
|
||||
<div>
|
||||
携带最近
|
||||
<el-input-number
|
||||
v-model="formContent.autoReminder.recentMessageQuantityForLlm"
|
||||
class="w-120px"
|
||||
:min="8"
|
||||
:max="20"
|
||||
:precision="0"
|
||||
:step="1"
|
||||
></el-input-number>
|
||||
次聊天内容作为上下文生成新消息
|
||||
</div>
|
||||
</el-form-item>
|
||||
<el-form-item>
|
||||
<el-button size="small" type="primary" @click="handleTestEffectClicked"
|
||||
>使用当前配置模拟已读不回自动复聊过程</el-button
|
||||
>
|
||||
</el-form-item>
|
||||
<el-form-item prop="recentMessageQuantityForLlm">
|
||||
<div class="flex flex-items-center">
|
||||
<span class="whitespace-nowrap">当所有模型均不可使用时 </span>
|
||||
<el-select
|
||||
v-model="formContent.autoReminder.rechatLlmFallback"
|
||||
class="w200px"
|
||||
label="name"
|
||||
>
|
||||
<el-option
|
||||
v-for="option in rechatLlmFallbackOptions"
|
||||
:key="option.value"
|
||||
:value="option.value"
|
||||
:label="option.name"
|
||||
/>
|
||||
</el-select>
|
||||
</div>
|
||||
</el-form-item>
|
||||
</el-form-item>
|
||||
</div>
|
||||
</template>
|
||||
<el-form-item ml-30px>
|
||||
<el-button size="small" type="primary" @click="handleTestEffectClicked"
|
||||
>使用当前配置模拟已读不回自动复聊过程</el-button
|
||||
><span text-orange ml10px
|
||||
><- 正式运行前建议在这里先试一试大模型生成效果是否符合预期哦</span
|
||||
>
|
||||
</el-form-item>
|
||||
</div>
|
||||
<el-form-item label="跟进间隔(分钟)" prop="throttleIntervalMinutes">
|
||||
<el-input-number
|
||||
@@ -259,6 +355,8 @@ import { computed, nextTick, onUnmounted, ref, watch } from 'vue'
|
||||
import { dayjs, ElForm, ElMessage, ElMessageBox, ElSelect, ElOption } from 'element-plus'
|
||||
import { useRouter } from 'vue-router'
|
||||
import {
|
||||
OPEN_CONTENT_SOURCE,
|
||||
// OPEN_LLM_FALLBACK,
|
||||
RECHAT_CONTENT_SOURCE,
|
||||
RECHAT_LLM_FALLBACK,
|
||||
RUNNING_STATUS_ENUM
|
||||
@@ -267,6 +365,7 @@ import { gtagRenderer as baseGtagRenderer } from '@renderer/utils/gtag'
|
||||
import mittBus from '../../utils/mitt'
|
||||
import { QuestionFilled } from '@element-plus/icons-vue'
|
||||
import RunningOverlay from '@renderer/features/RunningOverlay/index.vue'
|
||||
import { DEFAULT_CONSTANT_OPEN_CONTENT_SEGS } from '../../../../common/constant'
|
||||
const gtagRenderer = (name, params?: object) => {
|
||||
return baseGtagRenderer(name, {
|
||||
scene: 'rnrr-config',
|
||||
@@ -282,7 +381,10 @@ const formContent = ref({
|
||||
recentMessageQuantityForLlm: 8,
|
||||
rechatLlmFallback: RECHAT_LLM_FALLBACK.SEND_LOOK_FORWARD_EMOTION,
|
||||
onlyRemindBossWithExpectJobType: true,
|
||||
onlyRemindBossWithoutBlockCompanyName: true
|
||||
onlyRemindBossWithoutBlockCompanyName: true,
|
||||
openContentSource: OPEN_CONTENT_SOURCE.CONSTANT_CONTENT,
|
||||
// openLlmFallback: OPEN_LLM_FALLBACK.SEND_CONSTANT_CONTENT,
|
||||
constantOpenContent: ''
|
||||
}
|
||||
})
|
||||
|
||||
@@ -315,7 +417,10 @@ electron.ipcRenderer.invoke('fetch-config-file-content').then((res) => {
|
||||
: parseInt(conf.recentMessageQuantityForLlm)
|
||||
: 8
|
||||
conf.onlyRemindBossWithExpectJobType = conf.onlyRemindBossWithExpectJobType ?? true
|
||||
conf.onlyRemindBossWithoutBlockCompanyName = conf.onlyRemindBossWithoutBlockCompanyName ?? true
|
||||
conf.rechatLlmFallback = conf.rechatLlmFallback ?? RECHAT_LLM_FALLBACK.SEND_LOOK_FORWARD_EMOTION
|
||||
conf.openContentSource = conf.openContentSource ?? OPEN_CONTENT_SOURCE.CONSTANT_CONTENT
|
||||
conf.constantOpenContent = conf.constantOpenContent ?? ''
|
||||
formContent.value.autoReminder = conf
|
||||
})
|
||||
|
||||
@@ -462,8 +567,9 @@ async function checkIsCanRun() {
|
||||
return false
|
||||
}
|
||||
try {
|
||||
await electron.ipcRenderer.invoke('check-if-auto-remind-prompt-valid')
|
||||
await electron.ipcRenderer.invoke('check-if-auto-remind-prompt-valid', { type: 'rechat' })
|
||||
} catch (err) {
|
||||
console.log(err)
|
||||
if (err?.message?.includes(`RESUME_PLACEHOLDER_NOT_EXIST`)) {
|
||||
gtagRenderer('cannot_launch_for_no_resume_placehold')
|
||||
console.log(`提示词模板无效`, err)
|
||||
@@ -479,8 +585,10 @@ async function checkIsCanRun() {
|
||||
}
|
||||
)
|
||||
.then(async () => {
|
||||
gtagRenderer('confirm_invalid_rt_tip_dialog')
|
||||
await restoreDefaultTemplate()
|
||||
await restoreDefaultTemplate({
|
||||
type: 'rechat',
|
||||
gaEvName: 'confirm_invalid_rt_tip_dialog'
|
||||
})
|
||||
})
|
||||
.catch(() => {
|
||||
gtagRenderer('close_invalid_rt_tip_dialog')
|
||||
@@ -511,7 +619,9 @@ const handleSubmit = async () => {
|
||||
gtagRenderer('config_saved')
|
||||
if (
|
||||
formContent.value.autoReminder?.rechatContentSource ===
|
||||
RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT
|
||||
RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT ||
|
||||
formContent.value.autoReminder?.openContentSource ===
|
||||
OPEN_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT
|
||||
) {
|
||||
if (!(await checkIsCanRun())) {
|
||||
return
|
||||
@@ -568,8 +678,9 @@ function handleThrottleIntervalMinutesBlur() {
|
||||
)
|
||||
}
|
||||
|
||||
const restoreDefaultTemplate = async () => {
|
||||
await electron.ipcRenderer.invoke('overwrite-auto-remind-prompt-with-default')
|
||||
const restoreDefaultTemplate = async ({ type, gaEvName }) => {
|
||||
gtagRenderer(gaEvName)
|
||||
await electron.ipcRenderer.invoke('overwrite-auto-remind-prompt-with-default', { type })
|
||||
ElMessage({
|
||||
type: 'success',
|
||||
message: '模板还原成功'
|
||||
@@ -603,11 +714,12 @@ const handleClickEditResume = async () => {
|
||||
}
|
||||
}
|
||||
|
||||
const handleClickEditPrompt = async () => {
|
||||
gtagRenderer('edit_prompt_clicked')
|
||||
await electron.ipcRenderer.send('no-reply-reminder-prompt-edit')
|
||||
const handleClickEditPrompt = async ({ type }) => {
|
||||
gtagRenderer('edit_prompt_clicked', { type })
|
||||
await electron.ipcRenderer.send('no-reply-reminder-prompt-edit', { type })
|
||||
}
|
||||
|
||||
// for 跟进话术
|
||||
const rechatLlmFallbackOptions = [
|
||||
{
|
||||
name: '发送“[盼回复]”表情',
|
||||
@@ -619,6 +731,18 @@ const rechatLlmFallbackOptions = [
|
||||
}
|
||||
]
|
||||
|
||||
// // for 开场白话术
|
||||
// const openLlmFallbackOptions = [
|
||||
// {
|
||||
// name: '发送固定文案',
|
||||
// value: OPEN_LLM_FALLBACK.SEND_CONSTANT_CONTENT
|
||||
// },
|
||||
// {
|
||||
// name: '退出已读不回自动复聊',
|
||||
// value: OPEN_LLM_FALLBACK.EXIT_REMINDER_PROGRAM
|
||||
// }
|
||||
// ]
|
||||
|
||||
async function handleTestEffectClicked() {
|
||||
gtagRenderer('goto_mock_chat_clicked')
|
||||
if (!(await checkIsCanRun())) {
|
||||
@@ -651,6 +775,16 @@ const handleStopButtonClick = async () => {
|
||||
isStopButtonLoading.value = false
|
||||
}
|
||||
}
|
||||
|
||||
const defaultConstantOpenContent = computed(() => {
|
||||
if (
|
||||
formContent.value.autoReminder.rechatContentSource ===
|
||||
RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT
|
||||
) {
|
||||
return DEFAULT_CONSTANT_OPEN_CONTENT_SEGS.join(';')
|
||||
}
|
||||
return DEFAULT_CONSTANT_OPEN_CONTENT_SEGS[0]
|
||||
})
|
||||
</script>
|
||||
|
||||
<style lang="scss">
|
||||
|
||||
@@ -22,39 +22,65 @@
|
||||
<div class="pb20px"></div>
|
||||
<div v-for="(item, index) in messageList" :key="index" flex flex-col flex-items-end>
|
||||
<div class="message-item-wrap flex flex-col">
|
||||
<div
|
||||
class="message-item"
|
||||
:class="{
|
||||
'will-enter-context': getIsEnterContent(index)
|
||||
}"
|
||||
>
|
||||
{{ item.text }}
|
||||
</div>
|
||||
<div
|
||||
:style="{
|
||||
width: 'fit-content',
|
||||
alignSelf: 'flex-end'
|
||||
}"
|
||||
font-size-10px
|
||||
>
|
||||
{{ item.usedLlmConfig.model }}
|
||||
</div>
|
||||
<div
|
||||
v-if="item?.usedLlmConfig?.providerCompleteApiUrl?.trim()"
|
||||
:style="{
|
||||
width: 'fit-content',
|
||||
overflow: 'hidden',
|
||||
whiteSpace: 'nowrap',
|
||||
textOverflow: 'ellipsis',
|
||||
alignSelf: 'flex-end',
|
||||
color: '#bbb'
|
||||
}"
|
||||
font-size-10px
|
||||
w-fit-content
|
||||
max-w-20em
|
||||
>
|
||||
{{ item.usedLlmConfig.providerCompleteApiUrl }}
|
||||
</div>
|
||||
<template v-if="item.type === 'text'">
|
||||
<div
|
||||
class="message-item"
|
||||
:class="{
|
||||
'will-enter-context': getIsEnterContent(index)
|
||||
}"
|
||||
>
|
||||
{{ item.text }}
|
||||
</div>
|
||||
</template>
|
||||
<template v-else>
|
||||
<div
|
||||
class="message-item image-message-item"
|
||||
:class="{
|
||||
'will-enter-context': getIsEnterContent(index)
|
||||
}"
|
||||
>
|
||||
<img :src="item.imageUrl" alt="" />
|
||||
</div>
|
||||
</template>
|
||||
<!-- eslint-disable-next-line prettier/prettier -->
|
||||
<template v-if="(typeof item.usedLlmConfig !== 'string')">
|
||||
<div
|
||||
:style="{
|
||||
width: 'fit-content',
|
||||
alignSelf: 'flex-end'
|
||||
}"
|
||||
font-size-10px
|
||||
>
|
||||
{{ item.usedLlmConfig.model }}
|
||||
</div>
|
||||
<div
|
||||
v-if="item?.usedLlmConfig?.providerCompleteApiUrl?.trim()"
|
||||
:style="{
|
||||
width: 'fit-content',
|
||||
overflow: 'hidden',
|
||||
whiteSpace: 'nowrap',
|
||||
textOverflow: 'ellipsis',
|
||||
alignSelf: 'flex-end',
|
||||
color: '#bbb'
|
||||
}"
|
||||
font-size-10px
|
||||
w-fit-content
|
||||
max-w-20em
|
||||
>
|
||||
{{ item.usedLlmConfig.providerCompleteApiUrl }}
|
||||
</div>
|
||||
</template>
|
||||
<template v-else>
|
||||
<div
|
||||
:style="{
|
||||
width: 'fit-content',
|
||||
alignSelf: 'flex-end'
|
||||
}"
|
||||
font-size-10px
|
||||
>
|
||||
{{ item.usedLlmConfig }}
|
||||
</div>
|
||||
</template>
|
||||
</div>
|
||||
</div>
|
||||
<div class="pb20px"></div>
|
||||
@@ -147,15 +173,27 @@ import { computed, ref, watch } from 'vue'
|
||||
import { sleep } from '@geekgeekrun/utils/sleep.mjs'
|
||||
import { ElMessage } from 'element-plus'
|
||||
import { gtagRenderer } from '@renderer/utils/gtag'
|
||||
import {
|
||||
OPEN_CONTENT_SOURCE,
|
||||
RECHAT_CONTENT_SOURCE
|
||||
} from '../../../../common/enums/auto-start-chat'
|
||||
import { DEFAULT_CONSTANT_OPEN_CONTENT_SEGS } from '../../../../common/constant'
|
||||
import lookForwardReplyEmotion from '../MainLayout/resources/look-forward-reply-emotion.gif'
|
||||
|
||||
type MessageItem = {
|
||||
text: string
|
||||
usedLlmConfig: string
|
||||
type: 'text'
|
||||
// recordInfo: any
|
||||
}
|
||||
const messageList = ref<MessageItem[]>([])
|
||||
type ImageMessageItem = MessageItem & {
|
||||
type: 'image'
|
||||
imageUrl: string
|
||||
}
|
||||
const messageList = ref<(MessageItem | ImageMessageItem)[]>([])
|
||||
const searchParams = Object.fromEntries(new URL(location.href).searchParams)
|
||||
|
||||
const recentMessageQuantityForLlm =
|
||||
Number(new URL(location.href).searchParams.get('recentMessageQuantityForLlm')) || 8
|
||||
const recentMessageQuantityForLlm = Number(searchParams.recentMessageQuantityForLlm) || 8
|
||||
function getIsEnterContent(index) {
|
||||
return messageList.value.length - index - 1 < recentMessageQuantityForLlm
|
||||
}
|
||||
@@ -188,32 +226,93 @@ watch(
|
||||
|
||||
const scrollElRef = ref(null)
|
||||
const isLoading = ref(false)
|
||||
const openContentSource = Number(searchParams.openContentSource)
|
||||
const constantOpenContent = (() => {
|
||||
if (searchParams.constantOpenContent?.trim()) {
|
||||
return searchParams.constantOpenContent.trim()
|
||||
}
|
||||
if (Number(searchParams.rechatContentSource) === RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT) {
|
||||
return DEFAULT_CONSTANT_OPEN_CONTENT_SEGS.join(`;`)
|
||||
} else {
|
||||
return DEFAULT_CONSTANT_OPEN_CONTENT_SEGS[0]
|
||||
}
|
||||
})()
|
||||
const rechatContentSource = Number(searchParams.rechatContentSource)
|
||||
|
||||
async function sendLlmGeneratedContent() {
|
||||
gtagRenderer('click_mock_chat_send')
|
||||
isLoading.value = true
|
||||
try {
|
||||
const response = await electron.ipcRenderer.invoke('request-llm-for-test', {
|
||||
messageList: JSON.parse(JSON.stringify((messageList.value ?? []).slice(-8))),
|
||||
llmConfigIdForPick: selectedLlmConfig.value ? [selectedLlmConfig.value] : null
|
||||
})
|
||||
console.log(response)
|
||||
messageList.value.push({
|
||||
text: response.responseText,
|
||||
usedLlmConfig: response.usedLlmConfig
|
||||
})
|
||||
await sleep(50)
|
||||
;(scrollElRef.value as any as HTMLDivElement)?.scrollTo({
|
||||
top: scrollElRef.value?.scrollHeight,
|
||||
behavior: 'smooth'
|
||||
})
|
||||
} catch (err) {
|
||||
ElMessage.error({
|
||||
dangerouslyUseHTMLString: true,
|
||||
grouping: true,
|
||||
message: `<div>本次测试所使用的模型不可用</div><div style="margin-top: 10px; white-space: nowrap;">建议在大语言模型配置中关闭相关模型</div>`
|
||||
})
|
||||
} finally {
|
||||
isLoading.value = false
|
||||
if (!(messageList.value ?? []).length) {
|
||||
// send open content
|
||||
if (openContentSource === OPEN_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT) {
|
||||
isLoading.value = true
|
||||
try {
|
||||
const response = await electron.ipcRenderer.invoke('request-llm-for-test', {
|
||||
messageList: [],
|
||||
llmConfigIdForPick: selectedLlmConfig.value ? [selectedLlmConfig.value] : null
|
||||
})
|
||||
console.log(response)
|
||||
messageList.value.push({
|
||||
type: 'text',
|
||||
text: response.responseText,
|
||||
usedLlmConfig: response.usedLlmConfig
|
||||
})
|
||||
await sleep(50)
|
||||
;(scrollElRef.value as any as HTMLDivElement)?.scrollTo({
|
||||
top: scrollElRef.value?.scrollHeight,
|
||||
behavior: 'smooth'
|
||||
})
|
||||
} catch (err) {
|
||||
ElMessage.error({
|
||||
dangerouslyUseHTMLString: true,
|
||||
grouping: true,
|
||||
message: `<div>本次测试所使用的模型不可用</div><div style="margin-top: 10px; white-space: nowrap;">建议在大语言模型配置中关闭相关模型</div>`
|
||||
})
|
||||
} finally {
|
||||
isLoading.value = false
|
||||
}
|
||||
} else {
|
||||
messageList.value.push({
|
||||
type: 'text',
|
||||
text: constantOpenContent,
|
||||
usedLlmConfig: '未使用大模型'
|
||||
})
|
||||
}
|
||||
} else {
|
||||
if (rechatContentSource === RECHAT_CONTENT_SOURCE.GEMINI_WITH_CHAT_CONTEXT) {
|
||||
isLoading.value = true
|
||||
try {
|
||||
const response = await electron.ipcRenderer.invoke('request-llm-for-test', {
|
||||
messageList: JSON.parse(JSON.stringify((messageList.value ?? []).slice(-8))),
|
||||
llmConfigIdForPick: selectedLlmConfig.value ? [selectedLlmConfig.value] : null
|
||||
})
|
||||
console.log(response)
|
||||
messageList.value.push({
|
||||
type: 'text',
|
||||
text: response.responseText,
|
||||
usedLlmConfig: response.usedLlmConfig
|
||||
})
|
||||
await sleep(50)
|
||||
;(scrollElRef.value as any as HTMLDivElement)?.scrollTo({
|
||||
top: scrollElRef.value?.scrollHeight,
|
||||
behavior: 'smooth'
|
||||
})
|
||||
} catch (err) {
|
||||
ElMessage.error({
|
||||
dangerouslyUseHTMLString: true,
|
||||
grouping: true,
|
||||
message: `<div>本次测试所使用的模型不可用</div><div style="margin-top: 10px; white-space: nowrap;">建议在大语言模型配置中关闭相关模型</div>`
|
||||
})
|
||||
} finally {
|
||||
isLoading.value = false
|
||||
}
|
||||
} else {
|
||||
messageList.value.push({
|
||||
type: 'image',
|
||||
text: `[盼回复] 表情`,
|
||||
imageUrl: lookForwardReplyEmotion,
|
||||
usedLlmConfig: '未使用大模型'
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -264,5 +363,12 @@ gtagRenderer('enter_mock_chat_page')
|
||||
}
|
||||
}
|
||||
}
|
||||
.message-item.image-message-item {
|
||||
background-color: transparent;
|
||||
width: 128px;
|
||||
img {
|
||||
width: 100%;
|
||||
}
|
||||
}
|
||||
}
|
||||
</style>
|
||||
|
||||
Reference in New Issue
Block a user