mirror of
https://github.com/kuaifan/dootask.git
synced 2026-01-14 18:58:13 +00:00
a52dc14369
- Updated AIAssistant to support parsing of additional message links in the format dootask://message/id1/id2. - Modified search methods in SearchBox to streamline API calls and remove AI search logic, improving performance and clarity. - Cleaned up unused AI search code and adjusted search result handling for better data presentation. - Updated documentation to reflect new link formats for tasks, projects, files, and messages.
1528 lines
50 KiB
Vue
1528 lines
50 KiB
Vue
<template>
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<Modal
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v-model="showModal"
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:width="shouldCreateNewSession ? '420px' : '600px'"
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:mask-closable="false"
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:footer-hide="true"
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class-name="ai-assistant-modal">
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<div slot="header" class="ai-assistant-header">
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<div class="ai-assistant-header-title">
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<i class="taskfont"></i>
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<span>{{ modalTitle || $L('AI 助手') }}</span>
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</div>
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<div class="ai-assistant-header-actions">
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<div v-if="sessionEnabled && (responses.length > 0 || hasSessionHistory)" class="ai-assistant-header-btn" :title="$L('新建会话')" @click="createNewSession()">
|
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<i class="taskfont"></i>
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</div>
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<Dropdown
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v-if="sessionEnabled && hasSessionHistory"
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trigger="click"
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placement="bottom-end"
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:transfer="true">
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<div class="ai-assistant-header-btn" :title="$L('历史会话')">
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<i class="taskfont"></i>
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</div>
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<DropdownMenu slot="list" class="ai-assistant-history-menu">
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<DropdownItem
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v-for="session in currentSessionList"
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:key="session.id"
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:class="{'active': session.id === currentSessionId}"
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@click.native="loadSession(session.id)">
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<div class="history-item">
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<div class="history-item-content">
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<span class="history-item-title">{{ session.title }}</span>
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<span class="history-item-time">{{ formatSessionTime(session.updatedAt) }}</span>
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</div>
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<div class="history-item-delete" @click.stop="deleteSession(session.id)">
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<i class="taskfont"></i>
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</div>
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</div>
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</DropdownItem>
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<DropdownItem divided @click.native="clearSessionHistory">
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<div class="history-clear">
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{{ $L('清空历史记录') }}
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</div>
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</DropdownItem>
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</DropdownMenu>
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</Dropdown>
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</div>
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||
</div>
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<div class="ai-assistant-content">
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<div
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v-if="responses.length"
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ref="responseContainer"
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class="ai-assistant-output">
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<div
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v-for="response in responses"
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:key="response.id || response.localId"
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class="ai-assistant-output-item">
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<div class="ai-assistant-output-apply">
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<template v-if="response.status === 'error'">
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<span class="ai-assistant-output-error">{{ response.error || $L('发送失败') }}</span>
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</template>
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<template v-else-if="response.rawOutput">
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<Button
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v-if="showApplyButton"
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type="primary"
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size="small"
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:loading="response.applyLoading"
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class="ai-assistant-apply-btn"
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@click="applyResponse(response)">
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{{ applyButtonText || $L('应用此内容') }}
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</Button>
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</template>
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<template v-else>
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<Icon type="ios-sync" class="ai-assistant-output-icon icon-loading"/>
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<span class="ai-assistant-output-status">{{ loadingText || $L('生成中...') }}</span>
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</template>
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</div>
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<div class="ai-assistant-output-meta">
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<span class="ai-assistant-output-model">{{ response.modelLabel || response.model }}</span>
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</div>
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<div v-if="response.prompt" class="ai-assistant-output-question">{{ response.prompt }}</div>
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<DialogMarkdown
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v-if="response.rawOutput"
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class="ai-assistant-output-markdown no-dark-content"
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:text="response.displayOutput || response.rawOutput"
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@click="onContentClick"/>
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<div v-else class="ai-assistant-output-placeholder">
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{{ response.status === 'error' ? (response.error || $L('发送失败')) : $L('等待 AI 回复...') }}
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</div>
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</div>
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</div>
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<div class="ai-assistant-input">
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<Input
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v-model="inputValue"
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ref="inputRef"
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type="textarea"
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:placeholder="inputPlaceholder || $L('请输入你的问题...')"
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:rows="inputRows || 1"
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:autosize="inputAutosize || {minRows:1, maxRows:6}"
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:maxlength="inputMaxlength || 500"
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@on-keydown="onInputKeydown" />
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<div class="ai-assistant-footer">
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<div class="ai-assistant-footer-models">
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<Select
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v-model="inputModel"
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:placeholder="$L('选择模型')"
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:loading="modelsLoading"
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:disabled="modelsLoading || modelGroups.length === 0"
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:not-found-text="$L('暂无可用模型')"
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transfer>
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<OptionGroup
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v-for="group in modelGroups"
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:key="group.type"
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:label="group.label">
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<Option
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v-for="option in group.options"
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:key="option.id"
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:value="option.id">
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{{ option.label }}
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</Option>
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</OptionGroup>
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</Select>
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</div>
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<div class="ai-assistant-footer-btns">
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<Button v-if="submitButtonText" type="primary" shape="circle" icon="md-arrow-up" :loading="loadIng > 0" @click="onSubmit">{{ submitButtonText }}</Button>
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<Button v-else type="primary" shape="circle" icon="md-arrow-up" :loading="loadIng > 0" @click="onSubmit"></Button>
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</div>
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</div>
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</div>
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</div>
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</Modal>
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</template>
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<script>
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import emitter from "../store/events";
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import {SSEClient} from "../utils";
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import {AIBotMap, AIModelNames} from "../utils/ai";
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import DialogMarkdown from "../pages/manage/components/DialogMarkdown.vue";
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export default {
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name: 'AIAssistant',
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components: {DialogMarkdown},
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data() {
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return {
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// 弹窗状态
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showModal: false,
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closing: false,
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loadIng: 0,
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pendingAutoSubmit: false,
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autoSubmitTimer: null,
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modalTitle: null,
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applyButtonText: null,
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submitButtonText: null,
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showApplyButton: true,
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loadingText: null,
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// 输入配置
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inputValue: '',
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inputPlaceholder: null,
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inputRows: null,
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inputAutosize: null,
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inputMaxlength: null,
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// 回调钩子
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applyHook: null,
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beforeSendHook: null,
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renderHook: null,
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// 模型选择
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inputModel: '',
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modelGroups: [],
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modelMap: {},
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modelsFirstLoad: true,
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modelsLoading: false,
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modelCacheKey: 'aiAssistant.model',
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cachedModelId: '',
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// 响应渲染
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responses: [],
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responseSeed: 1,
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maxResponses: 50,
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contextWindowSize: 10,
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activeSSEClients: [],
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// 会话管理
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sessionEnabled: false,
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sessionStore: {},
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currentSessionKey: 'default',
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currentSessionId: null,
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sessionCacheKey: 'aiAssistant.sessions',
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maxSessionsPerKey: 20,
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}
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},
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mounted() {
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emitter.on('openAIAssistant', this.onOpenAIAssistant);
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this.loadCachedModel();
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this.loadSessionStore();
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},
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beforeDestroy() {
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emitter.off('openAIAssistant', this.onOpenAIAssistant);
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this.clearActiveSSEClients();
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this.clearAutoSubmitTimer();
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},
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computed: {
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selectedModelOption({modelMap, inputModel}) {
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return modelMap[inputModel] || null;
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},
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shouldCreateNewSession() {
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return this.responses.length === 0;
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},
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currentSessionList() {
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return this.sessionStore[this.currentSessionKey] || [];
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},
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hasSessionHistory() {
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return this.currentSessionList.length > 0;
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},
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},
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watch: {
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inputModel(value) {
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this.saveModelCache(value);
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},
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},
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methods: {
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/**
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* 打开助手弹窗并应用参数
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*/
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onOpenAIAssistant(params) {
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if (!$A.isJson(params)) {
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params = {};
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}
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this.inputValue = params.value || '';
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this.inputPlaceholder = params.placeholder || null;
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this.inputRows = params.rows || null;
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this.inputAutosize = params.autosize || null;
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this.inputMaxlength = params.maxlength || null;
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this.applyHook = params.onApply || null;
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this.beforeSendHook = params.onBeforeSend || null;
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this.modalTitle = params.title || null;
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this.applyButtonText = params.applyButtonText || null;
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this.submitButtonText = params.submitButtonText || null;
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this.showApplyButton = params.showApplyButton !== false;
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this.loadingText = params.loadingText || null;
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this.renderHook = params.onRender || null;
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this.pendingAutoSubmit = !!params.autoSubmit;
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// 会话管理
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this.initSession(params.sessionKey, params.resumeSession);
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this.showModal = true;
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this.fetchModelOptions();
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this.clearActiveSSEClients();
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this.clearAutoSubmitTimer();
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this.$nextTick(() => {
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this.scheduleAutoSubmit();
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this.scrollResponsesToBottom();
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this.$refs.inputRef.focus();
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});
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},
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/**
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* 读取缓存的模型ID
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*/
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async loadCachedModel() {
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try {
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this.cachedModelId = await $A.IDBString(this.modelCacheKey) || '';
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} catch (e) {
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this.cachedModelId = '';
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}
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},
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/**
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* 持久化模型选择
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*/
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saveModelCache(value) {
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if (!value) {
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return;
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}
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$A.IDBSave(this.modelCacheKey, value);
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this.cachedModelId = value;
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},
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/**
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* 拉取模型配置
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*/
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async fetchModelOptions() {
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const needFetch = this.modelsFirstLoad
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if (needFetch) {
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this.modelsFirstLoad = false;
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this.modelsLoading = true;
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}
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try {
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const {data} = await this.$store.dispatch("call", {
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url: 'assistant/models',
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});
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this.normalizeModelOptions(data);
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} catch (error) {
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if (this.modelGroups.length > 0) {
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return;
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}
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$A.modalError({
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content: error?.msg || '获取模型列表失败',
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onOk: _ => {
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this.showModal = false;
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},
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});
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} finally {
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if (needFetch) {
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this.modelsLoading = false;
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}
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}
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},
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/**
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* 解析模型列表
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*/
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normalizeModelOptions(data) {
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const groups = [];
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const map = {};
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if ($A.isJson(data)) {
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Object.keys(data).forEach(key => {
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const match = key.match(/^(.*?)_models$/);
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if (!match) {
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return;
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}
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const type = match[1];
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const raw = data[key];
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const list = raw ? AIModelNames(raw) : [];
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if (!list.length) {
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return;
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}
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const defaultModel = data[`${type}_model`] || '';
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const label = AIBotMap[type] || type;
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const options = list.slice(0, 5);
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if (defaultModel) {
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const defaultOption = list.find(option => option.value === defaultModel);
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if (defaultOption && !options.some(option => option.value === defaultOption.value)) {
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options.push(defaultOption);
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}
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}
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const group = {
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type,
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label,
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defaultModel,
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options: options.map(option => {
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const id = `${type}:${option.value}`;
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const item = Object.assign({}, option, {
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id,
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type,
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});
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map[id] = item;
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return item;
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}),
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};
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groups.push(group);
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});
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}
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const order = Object.keys(AIBotMap);
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groups.sort((a, b) => {
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const indexA = order.indexOf(a.type);
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const indexB = order.indexOf(b.type);
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if (indexA === -1 && indexB === -1) {
|
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return a.label.localeCompare(b.label);
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}
|
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if (indexA === -1) {
|
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return 1;
|
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}
|
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if (indexB === -1) {
|
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return -1;
|
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}
|
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return indexA - indexB;
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});
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this.modelGroups = groups;
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this.modelMap = map;
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this.ensureSelectedModel();
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},
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|
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/**
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* 应用默认或缓存的模型
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*/
|
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ensureSelectedModel() {
|
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if (this.inputModel && this.modelMap[this.inputModel]) {
|
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return;
|
||
}
|
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if (this.cachedModelId && this.modelMap[this.cachedModelId]) {
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this.inputModel = this.cachedModelId;
|
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return;
|
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}
|
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for (const group of this.modelGroups) {
|
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if (group.defaultModel) {
|
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const match = group.options.find(option => option.value === group.defaultModel);
|
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if (match) {
|
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this.inputModel = match.id;
|
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return;
|
||
}
|
||
}
|
||
}
|
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const firstGroup = this.modelGroups.find(group => group.options.length > 0);
|
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if (firstGroup) {
|
||
this.inputModel = firstGroup.options[0].id;
|
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} else {
|
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this.inputModel = '';
|
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}
|
||
},
|
||
|
||
/**
|
||
* 输入框键盘事件：回车发送，Shift+回车换行
|
||
*/
|
||
onInputKeydown(e) {
|
||
if (e.key === 'Enter' && !e.shiftKey) {
|
||
e.preventDefault();
|
||
this.onSubmit();
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 发送提问并推入响应
|
||
*/
|
||
async onSubmit() {
|
||
if (this.loadIng > 0) {
|
||
return;
|
||
}
|
||
const rawValue = this.inputValue || '';
|
||
const modelOption = this.selectedModelOption;
|
||
if (!modelOption) {
|
||
$A.messageWarning('请选择模型');
|
||
return;
|
||
}
|
||
|
||
this.loadIng++;
|
||
let responseEntry = null;
|
||
try {
|
||
const baseContext = this.collectBaseContext(rawValue);
|
||
const context = await this.buildPayloadData(baseContext);
|
||
|
||
responseEntry = this.createResponseEntry({
|
||
modelOption,
|
||
prompt: rawValue,
|
||
});
|
||
this.scrollResponsesToBottom();
|
||
|
||
const streamKey = await this.fetchStreamKey({
|
||
model_type: modelOption.type,
|
||
model_name: modelOption.value,
|
||
context,
|
||
});
|
||
|
||
this.inputValue = '';
|
||
this.startStream(streamKey, responseEntry);
|
||
} catch (error) {
|
||
const msg = error?.msg || '发送失败';
|
||
if (responseEntry) {
|
||
this.markResponseError(responseEntry, msg);
|
||
}
|
||
$A.modalError(msg);
|
||
} finally {
|
||
this.loadIng--;
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 构建最终发送的数据
|
||
*/
|
||
async buildPayloadData(context) {
|
||
const baseContext = this.normalizeContextEntries(context);
|
||
if (typeof this.beforeSendHook !== 'function') {
|
||
return baseContext;
|
||
}
|
||
try {
|
||
const clonedContext = baseContext.map(entry => entry.slice());
|
||
const result = this.beforeSendHook(clonedContext);
|
||
const resolved = result && typeof result.then === 'function'
|
||
? await result
|
||
: result;
|
||
const prepared = this.normalizeContextEntries(resolved);
|
||
if (prepared.length) {
|
||
return prepared;
|
||
}
|
||
} catch (e) {
|
||
console.warn('[AIAssistant] onBeforeSend error:', e);
|
||
}
|
||
return baseContext;
|
||
},
|
||
|
||
/**
|
||
* 汇总当前会话的基础上下文
|
||
*/
|
||
collectBaseContext(prompt) {
|
||
const pushEntry = (context, role, value) => {
|
||
if (typeof value === 'undefined' || value === null) {
|
||
return;
|
||
}
|
||
const content = String(value).trim();
|
||
if (!content) {
|
||
return;
|
||
}
|
||
context.push([role, content]);
|
||
};
|
||
const context = [];
|
||
const windowSize = Number(this.contextWindowSize) || 0;
|
||
const recentResponses = windowSize > 0
|
||
? this.responses.slice(-windowSize)
|
||
: this.responses;
|
||
recentResponses.forEach(item => {
|
||
if (item.prompt) {
|
||
pushEntry(context, 'human', item.prompt);
|
||
}
|
||
if (item.rawOutput) {
|
||
pushEntry(context, 'assistant', item.rawOutput);
|
||
}
|
||
});
|
||
if (prompt && String(prompt).trim()) {
|
||
pushEntry(context, 'human', prompt);
|
||
}
|
||
return context;
|
||
},
|
||
|
||
/**
|
||
* 归一化上下文结构
|
||
*/
|
||
normalizeContextEntries(context) {
|
||
if (!Array.isArray(context)) {
|
||
return [];
|
||
}
|
||
const normalized = [];
|
||
context.forEach(entry => {
|
||
if (!Array.isArray(entry) || entry.length < 2) {
|
||
return;
|
||
}
|
||
const [role, value] = entry;
|
||
const roleName = typeof role === 'string' ? role.trim() : '';
|
||
const content = typeof value === 'string'
|
||
? value.trim()
|
||
: String(value ?? '').trim();
|
||
if (!roleName || !content) {
|
||
return;
|
||
}
|
||
const last = normalized[normalized.length - 1];
|
||
const canMergeWithLast = last
|
||
&& last[0] === roleName
|
||
&& typeof last[1] === 'string'
|
||
&& last[1].slice(-4) === '++++';
|
||
if (canMergeWithLast) {
|
||
const previousContent = last[1].slice(0, -4);
|
||
last[1] = previousContent ? `${previousContent}\n${content}` : content;
|
||
return;
|
||
}
|
||
normalized.push([roleName, content]);
|
||
});
|
||
return normalized;
|
||
},
|
||
|
||
/**
|
||
* 请求 stream_key
|
||
*/
|
||
async fetchStreamKey({model_type, model_name, context}) {
|
||
const payload = {
|
||
model_type,
|
||
model_name,
|
||
context: JSON.stringify(context || []),
|
||
};
|
||
const {data} = await this.$store.dispatch("call", {
|
||
url: 'assistant/auth',
|
||
method: 'post',
|
||
data: payload,
|
||
});
|
||
const streamKey = data?.stream_key || '';
|
||
if (!streamKey) {
|
||
throw new Error('获取 stream_key 失败');
|
||
}
|
||
return streamKey;
|
||
},
|
||
|
||
/**
|
||
* 启动 SSE 订阅
|
||
*/
|
||
startStream(streamKey, responseEntry) {
|
||
if (!streamKey) {
|
||
throw new Error('获取 stream_key 失败');
|
||
}
|
||
this.clearActiveSSEClients();
|
||
const sse = new SSEClient($A.mainUrl(`ai/invoke/stream/${streamKey}`));
|
||
this.registerSSEClient(sse);
|
||
sse.subscribe(['append', 'replace', 'done'], (type, event) => {
|
||
switch (type) {
|
||
case 'append':
|
||
case 'replace':
|
||
this.handleStreamChunk(responseEntry, type, event);
|
||
break;
|
||
case 'done':
|
||
if (responseEntry && responseEntry.status !== 'error' && responseEntry.rawOutput) {
|
||
responseEntry.status = 'completed';
|
||
}
|
||
this.releaseSSEClient(sse);
|
||
// 响应完成后保存会话
|
||
this.saveCurrentSession();
|
||
break;
|
||
}
|
||
});
|
||
return sse;
|
||
},
|
||
|
||
/**
|
||
* 处理 SSE 片段
|
||
*/
|
||
handleStreamChunk(responseEntry, type, event) {
|
||
if (!responseEntry) {
|
||
return;
|
||
}
|
||
const stickToBottom = this.shouldStickToBottom();
|
||
const payload = this.parseStreamPayload(event);
|
||
const chunk = this.resolveStreamContent(payload);
|
||
if (type === 'replace') {
|
||
responseEntry.rawOutput = chunk;
|
||
} else {
|
||
responseEntry.rawOutput += chunk;
|
||
}
|
||
this.updateResponseDisplayOutput(responseEntry);
|
||
responseEntry.status = 'streaming';
|
||
if (stickToBottom) {
|
||
this.scrollResponsesToBottom();
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 解析 SSE 数据
|
||
*/
|
||
parseStreamPayload(event) {
|
||
if (!event || !event.data) {
|
||
return {};
|
||
}
|
||
try {
|
||
return JSON.parse(event.data);
|
||
} catch (e) {
|
||
return {};
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 获取 SSE 文本
|
||
*/
|
||
resolveStreamContent(payload) {
|
||
if (!payload || typeof payload !== 'object') {
|
||
return '';
|
||
}
|
||
if (typeof payload.content === 'string') {
|
||
return payload.content;
|
||
}
|
||
if (typeof payload.c === 'string') {
|
||
return payload.c;
|
||
}
|
||
return '';
|
||
},
|
||
|
||
/**
|
||
* 将 SSE 客户端加入活跃列表，方便后续清理
|
||
*/
|
||
registerSSEClient(sse) {
|
||
if (!sse) {
|
||
return;
|
||
}
|
||
this.activeSSEClients.push(sse);
|
||
},
|
||
|
||
/**
|
||
* 从活跃列表移除 SSE 客户端并执行注销
|
||
*/
|
||
releaseSSEClient(sse) {
|
||
const index = this.activeSSEClients.indexOf(sse);
|
||
if (index > -1) {
|
||
this.activeSSEClients.splice(index, 1);
|
||
}
|
||
sse.unsunscribe();
|
||
},
|
||
|
||
/**
|
||
* 关闭所有活跃的 SSE 连接
|
||
*/
|
||
clearActiveSSEClients() {
|
||
this.activeSSEClients.forEach(sse => {
|
||
try {
|
||
sse.unsunscribe();
|
||
} catch (e) {
|
||
}
|
||
});
|
||
this.activeSSEClients = [];
|
||
},
|
||
|
||
/**
|
||
* 清除自动提交定时器
|
||
*/
|
||
clearAutoSubmitTimer() {
|
||
if (this.autoSubmitTimer) {
|
||
clearTimeout(this.autoSubmitTimer);
|
||
this.autoSubmitTimer = null;
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 调度自动提交
|
||
*/
|
||
scheduleAutoSubmit() {
|
||
if (!this.pendingAutoSubmit) {
|
||
return;
|
||
}
|
||
const attemptSubmit = () => {
|
||
if (!this.pendingAutoSubmit) {
|
||
return;
|
||
}
|
||
if (this.canAutoSubmit()) {
|
||
this.pendingAutoSubmit = false;
|
||
this.clearAutoSubmitTimer();
|
||
this.onSubmit();
|
||
return;
|
||
}
|
||
this.autoSubmitTimer = setTimeout(attemptSubmit, 200);
|
||
};
|
||
this.clearAutoSubmitTimer();
|
||
this.autoSubmitTimer = setTimeout(attemptSubmit, 0);
|
||
},
|
||
|
||
/**
|
||
* 检查是否可以自动提交
|
||
*/
|
||
canAutoSubmit() {
|
||
return !this.modelsLoading
|
||
&& !!this.selectedModelOption
|
||
&& this.responses.length === 0
|
||
&& this.loadIng === 0;
|
||
},
|
||
|
||
/**
|
||
* 新建响应卡片
|
||
*/
|
||
createResponseEntry({modelOption, prompt}) {
|
||
const entry = {
|
||
localId: this.responseSeed++,
|
||
id: null,
|
||
model: modelOption.value,
|
||
modelLabel: modelOption.label,
|
||
type: modelOption.type,
|
||
prompt: prompt.trim(),
|
||
rawOutput: '',
|
||
displayOutput: '',
|
||
status: 'waiting',
|
||
error: '',
|
||
applyLoading: false,
|
||
};
|
||
this.responses.push(entry);
|
||
if (this.responses.length > this.maxResponses) {
|
||
this.responses.shift();
|
||
}
|
||
return entry;
|
||
},
|
||
|
||
/**
|
||
* 标记响应失败
|
||
*/
|
||
markResponseError(response, msg) {
|
||
response.status = 'error';
|
||
response.error = msg;
|
||
},
|
||
|
||
/**
|
||
* 将AI内容应用到父组件
|
||
*/
|
||
applyResponse(response) {
|
||
if (!response || response.applyLoading) {
|
||
return;
|
||
}
|
||
if (!response.rawOutput) {
|
||
$A.messageWarning('暂无可用内容');
|
||
return;
|
||
}
|
||
if (typeof this.applyHook !== 'function') {
|
||
this.closeAssistant();
|
||
return;
|
||
}
|
||
response.applyLoading = true;
|
||
const payload = this.buildResponsePayload(response, true);
|
||
try {
|
||
const result = this.applyHook(payload);
|
||
if (result && typeof result.then === 'function') {
|
||
result.then(() => {
|
||
this.closeAssistant();
|
||
}).catch(error => {
|
||
$A.modalError(error?.msg || '应用失败');
|
||
}).finally(() => {
|
||
response.applyLoading = false;
|
||
});
|
||
} else {
|
||
this.closeAssistant();
|
||
response.applyLoading = false;
|
||
}
|
||
} catch (error) {
|
||
response.applyLoading = false;
|
||
$A.modalError(error?.msg || '应用错误');
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 构造发送给外部回调的统一数据结构
|
||
*/
|
||
buildResponsePayload(response, removeReasoning = false) {
|
||
if (!response) {
|
||
return {
|
||
model: '',
|
||
type: '',
|
||
prompt: '',
|
||
rawOutput: '',
|
||
};
|
||
}
|
||
return {
|
||
model: response.model,
|
||
type: response.type,
|
||
prompt: response.prompt,
|
||
rawOutput: removeReasoning ? this.removeReasoningSections(response.rawOutput) : response.rawOutput,
|
||
};
|
||
},
|
||
|
||
/**
|
||
* 从回调中剔除 reasoning block
|
||
*/
|
||
removeReasoningSections(text) {
|
||
if (typeof text !== 'string') {
|
||
return text;
|
||
}
|
||
return text.replace(/:::\s*reasoning[\s\S]*?:::/gi, '').trim();
|
||
},
|
||
|
||
/**
|
||
* 根据 onRender 回调生成展示文本
|
||
*/
|
||
updateResponseDisplayOutput(response) {
|
||
if (!response) {
|
||
return;
|
||
}
|
||
if (typeof this.renderHook !== 'function') {
|
||
response.displayOutput = response.rawOutput;
|
||
return;
|
||
}
|
||
try {
|
||
const payload = this.buildResponsePayload(response);
|
||
const result = this.renderHook(payload);
|
||
if (result && typeof result.then === 'function') {
|
||
console.warn('[AIAssistant] onRender should be synchronous');
|
||
response.displayOutput = response.rawOutput;
|
||
return;
|
||
}
|
||
response.displayOutput = typeof result === 'string' ? result : response.rawOutput;
|
||
} catch (e) {
|
||
console.warn('[AIAssistant] onRender error:', e);
|
||
response.displayOutput = response.rawOutput;
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 关闭弹窗
|
||
*/
|
||
closeAssistant() {
|
||
if (this.closing) {
|
||
return;
|
||
}
|
||
this.closing = true;
|
||
this.pendingAutoSubmit = false;
|
||
this.clearAutoSubmitTimer();
|
||
this.clearActiveSSEClients();
|
||
this.showModal = false;
|
||
this.responses = [];
|
||
setTimeout(() => {
|
||
this.closing = false;
|
||
}, 300);
|
||
},
|
||
|
||
/**
|
||
* 滚动结果区域到底部
|
||
*/
|
||
scrollResponsesToBottom() {
|
||
this.$nextTick(() => {
|
||
const container = this.$refs.responseContainer;
|
||
if (container && container.scrollHeight) {
|
||
container.scrollTop = container.scrollHeight;
|
||
}
|
||
});
|
||
},
|
||
|
||
/**
|
||
* 判断是否需要保持滚动到底部
|
||
*/
|
||
shouldStickToBottom(threshold = 20) {
|
||
const container = this.$refs.responseContainer;
|
||
if (!container) {
|
||
return true;
|
||
}
|
||
const currentBottom = container.scrollTop + container.clientHeight;
|
||
const distance = container.scrollHeight - currentBottom;
|
||
if (Number.isNaN(distance)) {
|
||
return true;
|
||
}
|
||
return distance <= threshold;
|
||
},
|
||
|
||
/**
|
||
* 处理内容区域的点击事件
|
||
*/
|
||
onContentClick(e) {
|
||
const target = e.target;
|
||
if (target.tagName !== 'A') {
|
||
return;
|
||
}
|
||
|
||
const href = target.getAttribute('href');
|
||
if (!href || !href.startsWith('dootask://')) {
|
||
return;
|
||
}
|
||
|
||
e.preventDefault();
|
||
e.stopPropagation();
|
||
|
||
// 解析 dootask:// 协议链接
|
||
// 格式: dootask://type/id 或 dootask://type/id1/id2 例如 dootask://task/123 或 dootask://message/789/1234
|
||
const match = href.match(/^dootask:\/\/(\w+)\/(\d+)(?:\/(\d+))?$/);
|
||
if (!match) {
|
||
return;
|
||
}
|
||
|
||
const [, type, id, id2] = match;
|
||
const numId = parseInt(id, 10);
|
||
const numId2 = id2 ? parseInt(id2, 10) : null;
|
||
|
||
switch (type) {
|
||
case 'task':
|
||
this.$store.dispatch('openTask', {id: (numId2 && numId2 > 0) ? numId2 : numId});
|
||
break;
|
||
|
||
case 'project':
|
||
this.showModal = false;
|
||
this.goForward({name: 'manage-project', params: {projectId: numId}});
|
||
break;
|
||
|
||
case 'file':
|
||
this.showModal = false;
|
||
this.goForward({name: 'manage-file', params: {folderId: 0, fileId: null, shakeId: numId}});
|
||
this.$store.state.fileShakeId = numId;
|
||
setTimeout(() => {
|
||
this.$store.state.fileShakeId = 0;
|
||
}, 600);
|
||
break;
|
||
|
||
case 'contact':
|
||
this.$store.dispatch('openDialogUserid', numId).catch(({msg}) => {
|
||
$A.modalError(msg || this.$L('打开会话失败'));
|
||
});
|
||
break;
|
||
|
||
case 'message':
|
||
this.$store.dispatch('openDialog', numId).then(() => {
|
||
if (numId2) {
|
||
this.$store.state.dialogSearchMsgId = numId2;
|
||
}
|
||
}).catch(({msg}) => {
|
||
$A.modalError(msg || this.$L('打开会话失败'));
|
||
});
|
||
break;
|
||
}
|
||
},
|
||
|
||
// ==================== 会话管理方法 ====================
|
||
|
||
/**
|
||
* 加载持久化的会话数据
|
||
*/
|
||
async loadSessionStore() {
|
||
try {
|
||
const stored = await $A.IDBString(this.sessionCacheKey);
|
||
if (stored) {
|
||
this.sessionStore = JSON.parse(stored);
|
||
}
|
||
} catch (e) {
|
||
this.sessionStore = {};
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 持久化会话数据
|
||
*/
|
||
saveSessionStore() {
|
||
try {
|
||
$A.IDBSave(this.sessionCacheKey, JSON.stringify(this.sessionStore));
|
||
} catch (e) {
|
||
console.warn('[AIAssistant] Failed to save session store:', e);
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 生成会话 ID
|
||
*/
|
||
generateSessionId() {
|
||
return `session-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`;
|
||
},
|
||
|
||
/**
|
||
* 根据首次输入生成会话标题
|
||
*/
|
||
generateSessionTitle(responses) {
|
||
if (!responses || responses.length === 0) {
|
||
return this.$L('新会话');
|
||
}
|
||
const firstPrompt = responses.find(r => r.prompt)?.prompt || '';
|
||
if (!firstPrompt) {
|
||
return this.$L('新会话');
|
||
}
|
||
// 截取前20个字符作为标题
|
||
const title = firstPrompt.trim().substring(0, 20);
|
||
return title.length < firstPrompt.trim().length ? `${title}...` : title;
|
||
},
|
||
|
||
/**
|
||
* 获取指定场景的会话列表
|
||
*/
|
||
getSessionList(sessionKey) {
|
||
return this.sessionStore[sessionKey] || [];
|
||
},
|
||
|
||
/**
|
||
* 初始化会话
|
||
* @param {string} sessionKey - 会话场景标识，不传则不启用会话管理
|
||
* @param {boolean|number} resumeSession - 恢复上次会话：true 总是恢复，数字表示秒数阈值（上次会话在该时间内则恢复）
|
||
*/
|
||
initSession(sessionKey, resumeSession = false) {
|
||
// 保存当前会话
|
||
if (this.responses.length > 0) {
|
||
this.saveCurrentSession();
|
||
}
|
||
|
||
this.sessionEnabled = !!sessionKey;
|
||
|
||
if (this.sessionEnabled) {
|
||
this.currentSessionKey = sessionKey;
|
||
|
||
if (resumeSession) {
|
||
const sessions = this.getSessionList(sessionKey);
|
||
if (sessions.length > 0) {
|
||
const lastSession = sessions[0];
|
||
// 如果是数字，检查时间阈值
|
||
if (typeof resumeSession === 'number') {
|
||
const elapsed = (Date.now() - lastSession.updatedAt) / 1000;
|
||
if (elapsed > resumeSession) {
|
||
// 超过阈值，创建新会话
|
||
this.currentSessionId = this.generateSessionId();
|
||
this.responses = [];
|
||
return;
|
||
}
|
||
}
|
||
this.currentSessionId = lastSession.id;
|
||
this.responses = JSON.parse(JSON.stringify(lastSession.responses));
|
||
return;
|
||
}
|
||
}
|
||
|
||
this.currentSessionId = this.generateSessionId();
|
||
this.responses = [];
|
||
} else {
|
||
this.currentSessionKey = 'default';
|
||
this.currentSessionId = null;
|
||
this.responses = [];
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 创建新会话
|
||
*/
|
||
createNewSession(autoSaveCurrent = true) {
|
||
// 保存当前会话
|
||
if (autoSaveCurrent && this.responses.length > 0) {
|
||
this.saveCurrentSession();
|
||
}
|
||
// 创建新会话
|
||
this.currentSessionId = this.generateSessionId();
|
||
this.responses = [];
|
||
},
|
||
|
||
/**
|
||
* 保存当前会话到存储
|
||
*/
|
||
saveCurrentSession() {
|
||
if (!this.sessionEnabled || !this.currentSessionId || this.responses.length === 0) {
|
||
return;
|
||
}
|
||
|
||
const sessionKey = this.currentSessionKey;
|
||
if (!this.sessionStore[sessionKey]) {
|
||
this.$set(this.sessionStore, sessionKey, []);
|
||
}
|
||
|
||
const sessions = this.sessionStore[sessionKey];
|
||
const existingIndex = sessions.findIndex(s => s.id === this.currentSessionId);
|
||
const sessionData = {
|
||
id: this.currentSessionId,
|
||
title: this.generateSessionTitle(this.responses),
|
||
responses: JSON.parse(JSON.stringify(this.responses)),
|
||
createdAt: existingIndex > -1 ? sessions[existingIndex].createdAt : Date.now(),
|
||
updatedAt: Date.now(),
|
||
};
|
||
|
||
if (existingIndex > -1) {
|
||
sessions[existingIndex] = sessionData;
|
||
} else {
|
||
sessions.unshift(sessionData);
|
||
}
|
||
|
||
// 限制每个场景的会话数量
|
||
if (sessions.length > this.maxSessionsPerKey) {
|
||
sessions.splice(this.maxSessionsPerKey);
|
||
}
|
||
|
||
this.saveSessionStore();
|
||
},
|
||
|
||
/**
|
||
* 加载指定会话
|
||
*/
|
||
loadSession(sessionId) {
|
||
const sessions = this.getSessionList(this.currentSessionKey);
|
||
const session = sessions.find(s => s.id === sessionId);
|
||
if (session) {
|
||
// 先保存当前会话
|
||
if (this.currentSessionId !== sessionId && this.responses.length > 0) {
|
||
this.saveCurrentSession();
|
||
}
|
||
this.currentSessionId = session.id;
|
||
this.responses = JSON.parse(JSON.stringify(session.responses));
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 删除指定会话
|
||
*/
|
||
deleteSession(sessionId) {
|
||
const sessions = this.getSessionList(this.currentSessionKey);
|
||
const index = sessions.findIndex(s => s.id === sessionId);
|
||
if (index > -1) {
|
||
sessions.splice(index, 1);
|
||
this.saveSessionStore();
|
||
// 如果删除的是当前会话，创建新会话
|
||
if (this.currentSessionId === sessionId) {
|
||
this.createNewSession(false);
|
||
}
|
||
}
|
||
},
|
||
|
||
/**
|
||
* 清空当前场景的所有历史会话
|
||
*/
|
||
clearSessionHistory() {
|
||
$A.modalConfirm({
|
||
title: this.$L('清空历史会话'),
|
||
content: this.$L('确定要清空当前场景的所有历史会话吗？'),
|
||
onOk: () => {
|
||
this.$set(this.sessionStore, this.currentSessionKey, []);
|
||
this.saveSessionStore();
|
||
this.createNewSession(false);
|
||
}
|
||
});
|
||
},
|
||
|
||
/**
|
||
* 格式化会话时间显示
|
||
*/
|
||
formatSessionTime(timestamp) {
|
||
const now = $A.daytz();
|
||
const time = $A.dayjs(timestamp);
|
||
if (now.format('YYYY-MM-DD') === time.format('YYYY-MM-DD')) {
|
||
return this.$L('今天') + ' ' + time.format('HH:mm');
|
||
}
|
||
if (now.subtract(1, 'day').format('YYYY-MM-DD') === time.format('YYYY-MM-DD')) {
|
||
return this.$L('昨天') + ' ' + time.format('HH:mm');
|
||
}
|
||
if (now.year() === time.year()) {
|
||
return time.format('MM-DD HH:mm');
|
||
}
|
||
return time.format('YYYY-MM-DD HH:mm');
|
||
},
|
||
},
|
||
}
|
||
</script>
|
||
|
||
<style lang="scss">
|
||
.ai-assistant-modal {
|
||
--apply-reasoning-before-bg: #e1e1e1;
|
||
.ivu-modal {
|
||
transition: width 0.3s, max-width 0.3s;
|
||
.ivu-modal-header {
|
||
border-bottom: none !important;
|
||
}
|
||
.ivu-modal-body {
|
||
padding: 0 !important;
|
||
}
|
||
}
|
||
|
||
.ai-assistant-header {
|
||
display: flex;
|
||
align-items: center;
|
||
margin: -11px 24px -10px 0;
|
||
height: 38px;
|
||
|
||
.ai-assistant-header-title {
|
||
flex: 1;
|
||
min-width: 0;
|
||
display: flex;
|
||
align-items: center;
|
||
color: #303133;
|
||
padding-right: 12px;
|
||
gap: 8px;
|
||
|
||
> i {
|
||
font-size: 18px;
|
||
}
|
||
|
||
> span {
|
||
flex: 1;
|
||
min-width: 0;
|
||
overflow: hidden;
|
||
text-overflow: ellipsis;
|
||
white-space: nowrap;
|
||
font-size: 18px;
|
||
font-weight: 500;
|
||
}
|
||
}
|
||
.ai-assistant-header-actions {
|
||
display: flex;
|
||
align-items: center;
|
||
gap: 4px;
|
||
|
||
.ai-assistant-header-btn {
|
||
display: flex;
|
||
align-items: center;
|
||
justify-content: center;
|
||
width: 28px;
|
||
height: 28px;
|
||
border-radius: 6px;
|
||
cursor: pointer;
|
||
transition: background-color 0.2s;
|
||
&:hover {
|
||
background-color: rgba(0, 0, 0, 0.06);
|
||
}
|
||
> i {
|
||
font-size: 18px;
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
.ai-assistant-content {
|
||
display: flex;
|
||
flex-direction: column;
|
||
max-height: calc(var(--window-height) - var(--status-bar-height) - var(--navigation-bar-height) - 266px);
|
||
@media (height <= 900px) {
|
||
max-height: calc(var(--window-height) - var(--status-bar-height) - var(--navigation-bar-height) - 136px);
|
||
}
|
||
|
||
.ai-assistant-output {
|
||
flex: 1;
|
||
min-height: 0;
|
||
padding: 12px 24px;
|
||
margin-bottom: 12px;
|
||
border-radius: 0;
|
||
background: #f8f9fb;
|
||
border: 0;
|
||
overflow-y: auto;
|
||
}
|
||
|
||
.ai-assistant-output-item + .ai-assistant-output-item {
|
||
margin-top: 12px;
|
||
padding-top: 12px;
|
||
border-top: 1px solid rgba(0, 0, 0, 0.05);
|
||
}
|
||
|
||
.ai-assistant-output-apply {
|
||
position: sticky;
|
||
top: 0;
|
||
right: 0;
|
||
z-index: 1;
|
||
display: flex;
|
||
justify-content: flex-end;
|
||
align-items: center;
|
||
height: 26px;
|
||
color: #999;
|
||
gap: 4px;
|
||
}
|
||
|
||
.ai-assistant-output-icon {
|
||
font-size: 16px;
|
||
color: #52c41a;
|
||
}
|
||
|
||
.ai-assistant-apply-btn {
|
||
display: flex;
|
||
align-items: center;
|
||
justify-content: center;
|
||
font-size: 13px;
|
||
border-radius: 4px;
|
||
height: 26px;
|
||
padding: 0 8px;
|
||
}
|
||
|
||
.ai-assistant-output-status {
|
||
color: #52c41a;
|
||
}
|
||
|
||
.ai-assistant-output-error {
|
||
color: #ff4d4f;
|
||
}
|
||
|
||
.ai-assistant-output-meta {
|
||
display: flex;
|
||
align-items: center;
|
||
height: 24px;
|
||
margin-top: -24px;
|
||
}
|
||
|
||
.ai-assistant-output-model {
|
||
max-width: 50%;
|
||
white-space: nowrap;
|
||
overflow: hidden;
|
||
text-overflow: ellipsis;
|
||
font-size: 12px;
|
||
font-weight: 600;
|
||
color: #2f54eb;
|
||
background: rgba(47, 84, 235, 0.08);
|
||
border-radius: 4px;
|
||
padding: 2px 8px;
|
||
}
|
||
|
||
.ai-assistant-output-question {
|
||
display: -webkit-box;
|
||
-webkit-line-clamp: 2;
|
||
-webkit-box-orient: vertical;
|
||
overflow: hidden;
|
||
font-size: 12px;
|
||
color: #666;
|
||
line-height: 1.4;
|
||
margin-top: 8px;
|
||
}
|
||
|
||
.ai-assistant-output-placeholder {
|
||
margin-top: 12px;
|
||
font-size: 13px;
|
||
color: #999;
|
||
padding: 8px;
|
||
border-radius: 6px;
|
||
background: rgba(0, 0, 0, 0.02);
|
||
}
|
||
|
||
.ai-assistant-output-markdown {
|
||
margin-top: 12px;
|
||
font-size: 13px;
|
||
|
||
.apply-reasoning {
|
||
margin: 0 0 12px 0;
|
||
padding: 0 0 0 13px;
|
||
line-height: 26px;
|
||
position: relative;
|
||
|
||
&:before {
|
||
content: "";
|
||
position: absolute;
|
||
top: 0;
|
||
left: 0;
|
||
bottom: 0;
|
||
width: 2px;
|
||
background-color: var(--apply-reasoning-before-bg);
|
||
}
|
||
|
||
.reasoning-label {
|
||
margin-bottom: 4px;
|
||
opacity: 0.9;
|
||
}
|
||
|
||
.reasoning-content {
|
||
opacity: 0.5;
|
||
> p:last-child {
|
||
margin-bottom: 0;
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
.ai-assistant-input {
|
||
padding: 4px 16px 16px;
|
||
display: flex;
|
||
flex-direction: column;
|
||
gap: 12px;
|
||
|
||
.ivu-input {
|
||
background-color: transparent;
|
||
border: 0;
|
||
border-radius: 0;
|
||
box-shadow: none;
|
||
padding: 0 8px;
|
||
resize: none;
|
||
&:hover {
|
||
border-color: transparent;
|
||
}
|
||
}
|
||
|
||
.ivu-select-selection {
|
||
background-color: transparent;
|
||
border: 0;
|
||
border-radius: 0;
|
||
box-shadow: none;
|
||
padding: 0 0 0 8px;
|
||
}
|
||
}
|
||
|
||
.ai-assistant-footer {
|
||
display: flex;
|
||
justify-content: space-between;
|
||
flex-wrap: wrap;
|
||
gap: 12px;
|
||
.ai-assistant-footer-models {
|
||
text-align: left;
|
||
.ivu-select-disabled {
|
||
.ivu-select-selection {
|
||
background-color: transparent;
|
||
}
|
||
}
|
||
.ivu-select-selection {
|
||
border: 0;
|
||
box-shadow: none;
|
||
.ivu-select-placeholder,
|
||
.ivu-select-selected-value {
|
||
padding-left: 0;
|
||
opacity: 0.8;
|
||
}
|
||
}
|
||
}
|
||
.ai-assistant-footer-btns {
|
||
flex: 1;
|
||
display: flex;
|
||
justify-content: flex-end;
|
||
}
|
||
}
|
||
}
|
||
|
||
.ai-assistant-history-menu {
|
||
min-width: 240px;
|
||
max-width: 300px;
|
||
max-height: 320px;
|
||
overflow-y: auto;
|
||
|
||
.ivu-dropdown-item {
|
||
&.active {
|
||
background-color: rgba(45, 140, 240, 0.1);
|
||
}
|
||
&:hover {
|
||
background-color: rgba(0, 0, 0, 0.04);
|
||
}
|
||
}
|
||
|
||
.history-item {
|
||
display: flex;
|
||
align-items: center;
|
||
gap: 8px;
|
||
|
||
.history-item-content {
|
||
flex: 1;
|
||
min-width: 0;
|
||
display: flex;
|
||
flex-direction: column;
|
||
gap: 2px;
|
||
|
||
.history-item-title {
|
||
font-size: 13px;
|
||
color: #303133;
|
||
overflow: hidden;
|
||
text-overflow: ellipsis;
|
||
white-space: nowrap;
|
||
}
|
||
|
||
.history-item-time {
|
||
font-size: 11px;
|
||
color: #909399;
|
||
}
|
||
}
|
||
|
||
.history-item-delete {
|
||
display: flex;
|
||
align-items: center;
|
||
justify-content: center;
|
||
width: 20px;
|
||
height: 20px;
|
||
border-radius: 4px;
|
||
opacity: 0;
|
||
transition: opacity 0.2s, background-color 0.2s;
|
||
cursor: pointer;
|
||
|
||
&:hover {
|
||
background-color: rgba(0, 0, 0, 0.08);
|
||
}
|
||
|
||
> i {
|
||
font-size: 12px;
|
||
color: #909399;
|
||
}
|
||
}
|
||
|
||
&:hover .history-item-delete {
|
||
opacity: 1;
|
||
}
|
||
}
|
||
|
||
.history-clear {
|
||
display: flex;
|
||
align-items: center;
|
||
gap: 6px;
|
||
font-size: 13px;
|
||
color: #F56C6C;
|
||
}
|
||
}
|
||
body.dark-mode-reverse {
|
||
.ai-assistant-modal {
|
||
--apply-reasoning-before-bg: #4e4e56;
|
||
}
|
||
}
|
||
</style>
|