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|
- <template>
- <div class="choiceQuestionDetailDialog">
- <div class="content" @click="clickContent(true)" :style="{
- width: slideWidth + 'px',
- height: slideHeight + 'px',
- }">
- <span v-show="false" class="closeIcon" @click.stop="closeSlideIndex()">
- <img src="../../../assets/img/close.png" />
- </span>
- <!-- 选择题 -->
- <div class="c_t45" v-if="workDetail && workDetail.type === '45' && props.showData">
- <div class="c_t45_title">
- <div class="c_title" v-if="props.showData.choiceQuestionListData[props.showData.workIndex]">
- <span>{{
- props.showData.choiceQuestionListData[props.showData.workIndex]
- .teststitle
- }}</span>
- <div class="switch_btn" v-if="props.isCreator && props.roleType == 1">
- <div class="switch">
- <Switch :value="canValue" @update:value="handleCanChange" />
- <span>{{ lang.ssShowResult }}</span>
- </div>
- </div>
- </div>
- <div class="c_t45_msg" v-if="props.roleType == 1">
- <div>{{ lang.ssAnswerCount }} {{ props.workArray.length }}<span
- v-if="props.unsubmittedStudents.length > 0">/{{ props.workArray.length +
- props.unsubmittedStudents.length
- }}</span></div>
- <span v-if="props.unsubmittedStudents.length > 0" @click.stop="viewUnsubmittedStudents()">{{
- lang.ssViewSubmitStatus2 }}</span>
- </div>
- <!--<span class="c_t45_t_btn" :class="{'c_t45_t_btn_noActive': props.showData.workIndex <= 0}" @click="changeWorkIndex(0)">{{ lang.ssPrevQ }}</span>-->
- <!--<span class="c_t45_t_btn" :class="{'c_t45_t_btn_noActive': props.showData.workIndex >= props.showData.choiceQuestionListData.length - 1}" @click="changeWorkIndex(1)">{{ lang.ssNextQ }}</span>-->
- </div>
- <img class="c_t45_img" :src="props.showData.choiceQuestionListData[props.showData.workIndex]
- .timuList[0].src
- " v-if="props.showData.choiceQuestionListData[props.showData.workIndex] &&
- props.showData.choiceQuestionListData[props.showData.workIndex]
- .timuList.length > 0
- " @click.stop="previewImageToolRef.previewImage(props.showData.choiceQuestionListData[props.showData.workIndex]
- .timuList[0].src)" />
- <!-- <span class="c_t45_type" v-if="
- props.showData.choiceQuestionListData[props.showData.workIndex]
- .type === '1'
- ">{{ lang.ssSingleSel }}</span>
- <span class="c_t45_type" v-if="
- props.showData.choiceQuestionListData[props.showData.workIndex]
- .type === '2'
- ">{{ lang.ssMultiOpt }}</span> -->
- <!-- <span class="c_t45_type">{{ lang.ssChoiceQuestion }}</span> -->
- <div class="c_t45_echarts" :style="{
- width: slideWidth - 40 + 'px',
- }">
- <div id="echartsArea1" ref="echartsArea1"></div>
- </div>
- <div class="aiAnalysis" v-if="props.workArray.length > 0 && props.roleType == 1">
- <div class="ai_header">
- <div class="ai_title">
- <svg viewBox="0 0 1024 1024" width="200" height="200">
- <path
- d="M512 170.666667C323.477333 170.666667 170.666667 323.477333 170.666667 512s152.810667 341.333333 341.333333 341.333333 341.333333-152.810667 341.333333-341.333333S700.522667 170.666667 512 170.666667zM85.333333 512C85.333333 276.352 276.352 85.333333 512 85.333333s426.666667 191.018667 426.666667 426.666667-191.018667 426.666667-426.666667 426.666667S85.333333 747.648 85.333333 512z">
- </path>
- <path
- d="M693.013333 330.986667a42.666667 42.666667 0 0 1 10.304 43.648l-75.413333 226.282666a42.666667 42.666667 0 0 1-26.986667 26.986667l-226.282666 75.413333a42.666667 42.666667 0 0 1-53.973334-53.973333l75.434667-226.261333a42.666667 42.666667 0 0 1 26.986667-26.986667l226.282666-75.413333a42.666667 42.666667 0 0 1 43.648 10.304z m-222.72 139.306666l-41.685333 125.098667 125.077333-41.706667 41.706667-125.077333-125.077333 41.706667z">
- </path>
- </svg>{{ lang.ssAnalysis }}
- </div>
- <div class="ai_refresh" :class="{ 'disabled': currentAnalysis && currentAnalysis.loading }"
- @click.stop="aiAnalysisRefresh45()">
- {{ lang.ssAIGenerate }}
- <svg viewBox="0 0 1024 1024" width="200" height="200">
- <path
- d="M875 483c-33.4 0-60.5 27.1-60.5 60.5v0.1C814.4 710.3 678.8 846 512 846S209.5 710.3 209.5 543.5 345.2 241 512 241c36.8 0 71.7 7.6 104.4 19.7-32 3-57.4 29.1-57.4 61.9 0 34.8 28.2 63 63 63h201.9c34.8 0 63-28.2 63-63V120c0-34.8-28.2-63-63-63s-63 28.2-63 63v81.4C691 150.5 605.2 120 512 120 278.1 120 88.5 309.6 88.5 543.5S278.1 967 512 967s423.5-189.6 423.5-423.5c0-33.4-27.1-60.5-60.5-60.5z">
- </path>
- </svg>
- </div>
- </div>
- <div class="ai_content" v-if="currentAnalysis && currentAnalysis.json">
- {{ currentAnalysis.json.text }}
- </div>
- <div class="ai_echartsData" v-if="currentAnalysis && currentAnalysis.json.keyword">
- {{ currentAnalysis.json.keyword }}
- </div>
- <div class="generatingContent" v-if="currentAnalysis && currentAnalysis.loading">
- {{ lang.ssGeneratingContent }}...</div>
- <div class="ai_updateTime" v-if="currentAnalysis">{{ lang.ssUpdateTime }}:{{ currentAnalysis.update_at }}
- </div>
- </div>
- <div class="cq_changeBtn" v-if="props.showData.choiceQuestionListData.length > 1">
- <div :class="{ cq_cb_disabled: props.showData.workIndex <= 0 }" @click.stop="changeWorkIndex(0)">
- <svg style="transform: rotate(-90deg);" viewBox="0 0 1024 1024" version="1.1" width="200" height="200">
- <path
- d="M512 330.666667c14.933333 0 29.866667 4.266667 40.533333 14.933333l277.33333399 234.666667c27.733333 23.466667 29.866667 64 8.53333301 89.6-23.466667 27.733333-64 29.866667-89.6 8.53333299L512 477.866667l-236.8 200.53333299c-27.733333 23.466667-68.266667 19.19999999-89.6-8.53333299-23.466667-27.733333-19.19999999-68.266667 8.53333301-89.6l277.33333399-234.666667c10.666667-10.666667 25.6-14.933333 40.533333-14.933333z"
- fill=""></path>
- </svg>
- </div>
- <span>{{ props.showData.workIndex + 1 }}/{{ props.showData.choiceQuestionListData.length }}</span>
- <div :class="{ cq_cb_disabled: props.showData.workIndex >= props.showData.choiceQuestionListData.length - 1 }"
- @click.stop="changeWorkIndex(1)">
- <svg style="transform: rotate(90deg);" viewBox="0 0 1024 1024" version="1.1" width="200" height="200">
- <path
- d="M512 330.666667c14.933333 0 29.866667 4.266667 40.533333 14.933333l277.33333399 234.666667c27.733333 23.466667 29.866667 64 8.53333301 89.6-23.466667 27.733333-64 29.866667-89.6 8.53333299L512 477.866667l-236.8 200.53333299c-27.733333 23.466667-68.266667 19.19999999-89.6-8.53333299-23.466667-27.733333-19.19999999-68.266667 8.53333301-89.6l277.33333399-234.666667c10.666667-10.666667 25.6-14.933333 40.533333-14.933333z"
- fill=""></path>
- </svg>
- </div>
- </div>
- </div>
- <!-- 投票 -->
- <div class="c_t45" v-if="workDetail && workDetail.type === '78' && props.showData">
- <div class="c_t45_title">
- <div class="c_title" v-if="props.showData.choiceQuestionListData[props.showData.workIndex]">
- <span>{{
- props.showData.choiceQuestionListData[props.showData.workIndex]
- .teststitle
- }}</span>
- <div class="switch_btn" v-if="props.isCreator && props.roleType == 1">
- <div class="switch">
- <Switch :value="canValue" @update:value="handleCanChange" />
- <span>{{ lang.ssShowResult }}</span>
- </div>
- <div class="switch">
- <Switch :value="anonymousValue" @update:value="handleAnonymousChange" />
- <span>{{anonymousValue ? lang.ssAnonymous : lang.ssRealName}}</span>
- </div>
- </div>
- </div>
- <div class="c_t45_msg" v-if="props.roleType == 1">
- <div>{{ lang.ssAnswerCount }} {{ props.workArray.length }}<span
- v-if="props.unsubmittedStudents.length > 0">/{{ props.workArray.length +
- props.unsubmittedStudents.length
- }}</span></div>
- <span v-if="props.unsubmittedStudents.length > 0" @click.stop="viewUnsubmittedStudents()">{{
- lang.ssViewSubmitStatus2 }}</span>
- </div>
- <!--<span class="c_t45_t_btn" :class="{'c_t45_t_btn_noActive': props.showData.workIndex <= 0}" @click="changeWorkIndex(0)">{{ lang.ssPrevQ }}</span>-->
- <!--<span class="c_t45_t_btn" :class="{'c_t45_t_btn_noActive': props.showData.workIndex >= props.showData.choiceQuestionListData.length - 1}" @click="changeWorkIndex(1)">{{ lang.ssNextQ }}</span>-->
- </div>
- <img class="c_t45_img" :src="props.showData.choiceQuestionListData[props.showData.workIndex]
- .timuList[0].src
- " v-if="props.showData.choiceQuestionListData[props.showData.workIndex] &&
- props.showData.choiceQuestionListData[props.showData.workIndex]
- .timuList.length > 0
- " @click.stop="previewImageToolRef.previewImage(props.showData.choiceQuestionListData[props.showData.workIndex]
- .timuList[0].src)" />
- <!-- <span class="c_t45_type" v-if="
- props.showData.choiceQuestionListData[props.showData.workIndex]
- .type === '1'
- ">{{ lang.ssSingleSel }}</span>
- <span class="c_t45_type" v-if="
- props.showData.choiceQuestionListData[props.showData.workIndex]
- .type === '2'
- ">{{ lang.ssMultiOpt }}</span> -->
- <!-- <span class="c_t45_type">{{ lang.ssChoiceQuestion }}</span> -->
- <div class="c_t45_echarts" :style="{
- width: slideWidth - 40 + 'px',
- }">
- <div id="echartsArea1" ref="echartsArea1"></div>
- </div>
- <!-- v-if="props.workArray.length > 0" -->
- <div class="aiAnalysis" v-if="false">
- <div class="ai_header">
- <div class="ai_title">
- <svg viewBox="0 0 1024 1024" width="200" height="200">
- <path
- d="M512 170.666667C323.477333 170.666667 170.666667 323.477333 170.666667 512s152.810667 341.333333 341.333333 341.333333 341.333333-152.810667 341.333333-341.333333S700.522667 170.666667 512 170.666667zM85.333333 512C85.333333 276.352 276.352 85.333333 512 85.333333s426.666667 191.018667 426.666667 426.666667-191.018667 426.666667-426.666667 426.666667S85.333333 747.648 85.333333 512z">
- </path>
- <path
- d="M693.013333 330.986667a42.666667 42.666667 0 0 1 10.304 43.648l-75.413333 226.282666a42.666667 42.666667 0 0 1-26.986667 26.986667l-226.282666 75.413333a42.666667 42.666667 0 0 1-53.973334-53.973333l75.434667-226.261333a42.666667 42.666667 0 0 1 26.986667-26.986667l226.282666-75.413333a42.666667 42.666667 0 0 1 43.648 10.304z m-222.72 139.306666l-41.685333 125.098667 125.077333-41.706667 41.706667-125.077333-125.077333 41.706667z">
- </path>
- </svg>{{ lang.ssAnalysis }}
- </div>
- <div class="ai_refresh" :class="{ 'disabled': currentAnalysis && currentAnalysis.loading }"
- @click.stop="aiAnalysisRefresh78()">
- {{ lang.ssAIGenerate }}
- <svg viewBox="0 0 1024 1024" width="200" height="200">
- <path
- d="M875 483c-33.4 0-60.5 27.1-60.5 60.5v0.1C814.4 710.3 678.8 846 512 846S209.5 710.3 209.5 543.5 345.2 241 512 241c36.8 0 71.7 7.6 104.4 19.7-32 3-57.4 29.1-57.4 61.9 0 34.8 28.2 63 63 63h201.9c34.8 0 63-28.2 63-63V120c0-34.8-28.2-63-63-63s-63 28.2-63 63v81.4C691 150.5 605.2 120 512 120 278.1 120 88.5 309.6 88.5 543.5S278.1 967 512 967s423.5-189.6 423.5-423.5c0-33.4-27.1-60.5-60.5-60.5z">
- </path>
- </svg>
- </div>
- </div>
- <div class="ai_content" v-if="currentAnalysis && currentAnalysis.json">
- {{ currentAnalysis.json.text }}
- </div>
- <div class="ai_echartsData" v-if="currentAnalysis && currentAnalysis.json.keyword">
- {{ currentAnalysis.json.keyword }}
- </div>
- <div class="generatingContent" v-if="currentAnalysis && currentAnalysis.loading">
- {{ lang.ssGeneratingContent }}...</div>
- <div class="ai_updateTime" v-if="currentAnalysis">{{ lang.ssUpdateTime }}:{{ currentAnalysis.update_at }}
- </div>
- </div>
- <div class="cq_changeBtn" v-if="props.showData.choiceQuestionListData.length > 1">
- <div :class="{ cq_cb_disabled: props.showData.workIndex <= 0 }" @click.stop="changeWorkIndex(0)">
- <svg style="transform: rotate(-90deg);" viewBox="0 0 1024 1024" version="1.1" width="200" height="200">
- <path
- d="M512 330.666667c14.933333 0 29.866667 4.266667 40.533333 14.933333l277.33333399 234.666667c27.733333 23.466667 29.866667 64 8.53333301 89.6-23.466667 27.733333-64 29.866667-89.6 8.53333299L512 477.866667l-236.8 200.53333299c-27.733333 23.466667-68.266667 19.19999999-89.6-8.53333299-23.466667-27.733333-19.19999999-68.266667 8.53333301-89.6l277.33333399-234.666667c10.666667-10.666667 25.6-14.933333 40.533333-14.933333z"
- fill=""></path>
- </svg>
- </div>
- <span>{{ props.showData.workIndex + 1 }}/{{ props.showData.choiceQuestionListData.length }}</span>
- <div :class="{ cq_cb_disabled: props.showData.workIndex >= props.showData.choiceQuestionListData.length - 1 }"
- @click.stop="changeWorkIndex(1)">
- <svg style="transform: rotate(90deg);" viewBox="0 0 1024 1024" version="1.1" width="200" height="200">
- <path
- d="M512 330.666667c14.933333 0 29.866667 4.266667 40.533333 14.933333l277.33333399 234.666667c27.733333 23.466667 29.866667 64 8.53333301 89.6-23.466667 27.733333-64 29.866667-89.6 8.53333299L512 477.866667l-236.8 200.53333299c-27.733333 23.466667-68.266667 19.19999999-89.6-8.53333299-23.466667-27.733333-19.19999999-68.266667 8.53333301-89.6l277.33333399-234.666667c10.666667-10.666667 25.6-14.933333 40.533333-14.933333z"
- fill=""></path>
- </svg>
- </div>
- </div>
- </div>
- <!-- 问答题 -->
- <div class="c_t15" v-if="workDetail && workDetail.type === '15' && props.showData">
- <div class="c_t15_title">
- <div class="c_title">
- <span>{{ workDetail.json.answerQ }}</span>
- <div class="switch_btn" v-if="props.isCreator && props.roleType == 1">
- <div class="switch">
- <Switch :value="canValue" @update:value="handleCanChange" />
- <span>{{ lang.ssShowResult }}</span>
- </div>
- <div class="switch">
- <Switch :value="likeValue" @update:value="handleLikeChange" />
- <span>{{ lang.ssLike }}</span>
- </div>
- </div>
- </div>
- </div>
- <span class="c_t15_type">{{ lang.ssQATest }}</span>
- <div class="c_t15_msg" v-if="props.roleType == 1">
- <div>{{ lang.ssAnswerCount }} {{ props.workArray.length }}<span
- v-if="props.unsubmittedStudents.length > 0">/{{ props.workArray.length +
- props.unsubmittedStudents.length
- }}</span></div>
- <span v-if="props.unsubmittedStudents.length > 0" @click.stop="viewUnsubmittedStudents()">{{
- lang.ssViewSubmitStatus2 }}</span>
- </div>
- <div class="c_t15_content" v-show="!lookWorkData">
- <div class="c_t15_c_item" v-for="item in processedWorkArray" :key="item.id" @click.stop="lookWork(item.id)">
- <div class="c_t15_c_i_top">
- <span>{{ item.name.charAt(0) }}</span>
- <div>{{ item.name }}</div>
- <div class="cast_sreen_btn" @click.stop="castScreen(item)" v-if="props.isCreator && props.roleType == 1 && isFollowModeActive && canValue">
- <IconCastScreen />
- {{ lang.ssCastScreen }}
- </div>
- </div>
- <div class="c_t15_c_i_bottom">
- <span v-html="item.content.answer"></span>
- </div>
- <div class="bottom_btn" v-if="likeValue">
- <div class="bottom_like" :class="{'active': item.isLikes}" @click.stop="handleLikeClick(item)">
- <IconThumbsUp />
- <span>{{ item.likesCount }}</span>
- </div>
- </div>
- </div>
- </div>
- <div class="aiAnalysis" style="margin-top:1rem ;"
- v-if="processedWorkArray.length > 0 && lookWorkData === null && workDetail.type === '15' && props.roleType == 1"
- @click.stop="clickContent(false)">
- <div class="ai_header">
- <div class="ai_title">
- <svg viewBox="0 0 1024 1024" width="200" height="200">
- <path
- d="M512 170.666667C323.477333 170.666667 170.666667 323.477333 170.666667 512s152.810667 341.333333 341.333333 341.333333 341.333333-152.810667 341.333333-341.333333S700.522667 170.666667 512 170.666667zM85.333333 512C85.333333 276.352 276.352 85.333333 512 85.333333s426.666667 191.018667 426.666667 426.666667-191.018667 426.666667-426.666667 426.666667S85.333333 747.648 85.333333 512z">
- </path>
- <path
- d="M693.013333 330.986667a42.666667 42.666667 0 0 1 10.304 43.648l-75.413333 226.282666a42.666667 42.666667 0 0 1-26.986667 26.986667l-226.282666 75.413333a42.666667 42.666667 0 0 1-53.973334-53.973333l75.434667-226.261333a42.666667 42.666667 0 0 1 26.986667-26.986667l226.282666-75.413333a42.666667 42.666667 0 0 1 43.648 10.304z m-222.72 139.306666l-41.685333 125.098667 125.077333-41.706667 41.706667-125.077333-125.077333 41.706667z">
- </path>
- </svg>{{ lang.ssAnalysis }}
- </div>
- <div class="ai_refresh" :class="{ 'disabled': currentAnalysis && currentAnalysis.loading }"
- @click.stop="aiAnalysisRefresh15()">
- {{ lang.ssAIGenerate }}
- <svg viewBox="0 0 1024 1024" width="200" height="200">
- <path
- d="M875 483c-33.4 0-60.5 27.1-60.5 60.5v0.1C814.4 710.3 678.8 846 512 846S209.5 710.3 209.5 543.5 345.2 241 512 241c36.8 0 71.7 7.6 104.4 19.7-32 3-57.4 29.1-57.4 61.9 0 34.8 28.2 63 63 63h201.9c34.8 0 63-28.2 63-63V120c0-34.8-28.2-63-63-63s-63 28.2-63 63v81.4C691 150.5 605.2 120 512 120 278.1 120 88.5 309.6 88.5 543.5S278.1 967 512 967s423.5-189.6 423.5-423.5c0-33.4-27.1-60.5-60.5-60.5z">
- </path>
- </svg>
- </div>
- </div>
- <div class="ai_content" v-if="currentAnalysis && currentAnalysis.json">
- {{ currentAnalysis.json.text }}
- </div>
- <div class="ai_echartsData" v-if="currentAnalysis && currentAnalysis.json.keyword">
- <div class="title">{{ lang.ssKeyword }}:</div>
- <span v-for="(item, index) in currentAnalysis.json.keyword" :key="index">{{ item }}</span>
- <div class="btn" @click.stop="openEchatsDialog()">{{ lang.ssViewKeywordCloud }}</div>
- </div>
- <div class="generatingContent" v-if="currentAnalysis && currentAnalysis.generatingContent">{{
- lang.ssGeneratingContent }}...</div>
- <div class="ai_updateTime" v-if="currentAnalysis">{{ lang.ssUpdateTime }}:{{ currentAnalysis.update_at }}
- </div>
- </div>
- <div class="c_t15_workDetail" v-if="lookWorkData" @click.stop="clickContent(false)">
- <div class="c_t15_wd_top">
- <img src="../../../assets/img/arrow_left.png" @click.stop="lookWork('')" v-if="!isCastScreen"/>
- <span>{{ lookWorkData.name.charAt(0) }}</span>
- <div>{{ lookWorkData.name }}</div>
- <div class="cast_sreen_btn" @click.stop="exitCastScreen" v-if="(props.isCreator && props.roleType == 1 && isCastScreen) || (!isFollowModeActive && isCastScreen)">
- <IconCastScreen />
- {{ lang.ssExitCastScreen }}
- </div>
- </div>
- <div class="c_t15_wd_content">
- <span v-html="lookWorkData.content.answer"></span>
- <div class="c_t15_wd_c_imageList" v-if="lookWorkData.content.fileList.length > 0">
- <img v-for="item in lookWorkData.content.fileList" :src="item.url" :key="item.uploadTime"
- @click.stop="lookImage(item.url)" />
- </div>
- </div>
- </div>
- </div>
- <!-- 拍照 -->
- <div class="c_t15" v-if="workDetail && workDetail.type === '79' && props.showData">
- <div class="c_t15_title">
- <div class="c_title">
- <span>{{ workDetail.json.answerQ }}</span>
- <div class="switch_btn" v-if="props.isCreator && props.roleType == 1">
- <div class="switch">
- <Switch :value="canValue" @update:value="handleCanChange" />
- <span>{{ lang.ssShowResult }}</span>
- </div>
- <div class="switch">
- <Switch :value="likeValue" @update:value="handleLikeChange" />
- <span>{{ lang.ssLike }}</span>
- </div>
- </div>
- </div>
- </div>
- <span class="c_t15_type">{{ lang.ssPhoto }}</span>
- <div class="c_t15_msg" v-if="props.roleType == 1">
- <div>{{ lang.ssAnswerCount }} {{ props.workArray.length }}<span
- v-if="props.unsubmittedStudents.length > 0">/{{ props.workArray.length +
- props.unsubmittedStudents.length
- }}</span></div>
- <span v-if="props.unsubmittedStudents.length > 0" @click.stop="viewUnsubmittedStudents()">{{
- lang.ssViewSubmitStatus2 }}</span>
- </div>
- <div class="c_t15_content" v-show="!lookWorkData">
- <div class="c_t15_c_item" v-for="item in processedWorkArray" :key="item.id"
- @click.stop="item.content && item.content.fileList.length > 0 ? lookWork(item.id) : ''">
- <div class="c_t15_c_i_top">
- <span>{{ item.name.charAt(0) }}</span>
- <div>{{ item.name }}</div>
- <div class="cast_sreen_btn" @click.stop="castScreen(item)" v-if="props.isCreator && props.roleType == 1 && isFollowModeActive && canValue">
- <IconCastScreen />
- {{ lang.ssCastScreen }}
- </div>
- </div>
- <div class="c_t73_c_i_bottom" v-if="item.content && item.content.fileList.length > 0">
- <img :src="item.content.fileList[0].url" />
- </div>
- <div class="c_t73_c_i_bottom" v-else>
- <span>{{ lang.ssNoPhoto }}</span>
- </div>
- <div class="bottom_btn" v-if="likeValue">
- <div class="bottom_like" :class="{'active': item.isLikes}" @click.stop="handleLikeClick(item)">
- <IconThumbsUp />
- <span>{{ item.likesCount }}</span>
- </div>
- </div>
- </div>
- </div>
- <div class="c_t79_workDetail" v-if="lookWorkData" @click.stop="clickContent(false)">
- <div class="c_t79_wd_top">
- <img src="../../../assets/img/arrow_left.png" @click.stop="lookWork('')" v-if="!isCastScreen"/>
- <span>{{ lookWorkData.name.charAt(0) }}</span>
- <div>{{ lookWorkData.name }}</div>
- <div class="cast_sreen_btn" @click.stop="exitCastScreen" v-if="(props.isCreator && props.roleType == 1 && isCastScreen) || (!isFollowModeActive && isCastScreen)">
- <IconCastScreen />
- {{ lang.ssExitCastScreen }}
- </div>
- </div>
- <div class="c_t79_wd_content">
- <img :src="lookWorkData.content.fileList[lookWorkIndex].url"
- @click.stop="lookImage(lookWorkData.content.fileList[lookWorkIndex].url)" />
- </div>
- <!-- <div class="nextAndUpBtn" v-if="lookWorkData.content.fileList.length>1">
- <span :class="{no_active:lookWorkIndex==0}" @click="changelookWorkIndex(0)">{{ lang.ssPrevP }}</span>
- <span :class="{no_active:lookWorkData.content.fileList.length-1<=lookWorkIndex}" @click="changelookWorkIndex(1)">{{ lang.ssNextP }}</span>
- </div> -->
- <div class="cq_changeBtn" v-if="lookWorkData.content.fileList.length > 1">
- <div :class="{ cq_cb_disabled: lookWorkIndex <= 0 }" @click.stop="changelookWorkIndex(0)">
- <svg style="transform: rotate(-90deg);" viewBox="0 0 1024 1024" version="1.1" width="200" height="200">
- <path
- d="M512 330.666667c14.933333 0 29.866667 4.266667 40.533333 14.933333l277.33333399 234.666667c27.733333 23.466667 29.866667 64 8.53333301 89.6-23.466667 27.733333-64 29.866667-89.6 8.53333299L512 477.866667l-236.8 200.53333299c-27.733333 23.466667-68.266667 19.19999999-89.6-8.53333299-23.466667-27.733333-19.19999999-68.266667 8.53333301-89.6l277.33333399-234.666667c10.666667-10.666667 25.6-14.933333 40.533333-14.933333z"
- fill=""></path>
- </svg>
- </div>
- <span>{{ lookWorkIndex + 1 }}/{{ lookWorkData.content.fileList.length }}</span>
- <div :class="{ cq_cb_disabled: lookWorkIndex >= lookWorkData.content.fileList.length - 1 }"
- @click.stop="changelookWorkIndex(1)">
- <svg style="transform: rotate(90deg);" viewBox="0 0 1024 1024" version="1.1" width="200" height="200">
- <path
- d="M512 330.666667c14.933333 0 29.866667 4.266667 40.533333 14.933333l277.33333399 234.666667c27.733333 23.466667 29.866667 64 8.53333301 89.6-23.466667 27.733333-64 29.866667-89.6 8.53333299L512 477.866667l-236.8 200.53333299c-27.733333 23.466667-68.266667 19.19999999-89.6-8.53333299-23.466667-27.733333-19.19999999-68.266667 8.53333301-89.6l277.33333399-234.666667c10.666667-10.666667 25.6-14.933333 40.533333-14.933333z"
- fill=""></path>
- </svg>
- </div>
- </div>
- </div>
- </div>
- <!-- AI应用 -->
- <div class="c_t72" v-if="props.showData && props.showData.toolType === 72">
- <div class="c_t72_title">
- <div class="c_title">
- <span>{{ lang.ssAiApp }}</span>
- <div class="switch_btn" v-if="props.isCreator && props.roleType == 1">
- <div class="switch">
- <Switch :value="canValue" @update:value="handleCanChange" />
- <span>{{ lang.ssShowResult }}</span>
- </div>
- <div class="switch">
- <Switch :value="likeValue" @update:value="handleLikeChange" />
- <span>{{ lang.ssLike }}</span>
- </div>
- </div>
- </div>
- </div>
- <span class="c_t72_type">{{ lang.ssAiApp }}</span>
- <div class="c_t72_msg" v-if="props.roleType == 1">
- <div>{{ lang.ssAnswerCount }} {{ props.workArray.length }}<span
- v-if="props.unsubmittedStudents.length > 0">/{{ props.workArray.length +
- props.unsubmittedStudents.length
- }}</span></div>
- <span v-if="props.unsubmittedStudents.length > 0" @click.stop="viewUnsubmittedStudents()">{{
- lang.ssViewSubmitStatus2 }}</span>
- </div>
- <div class="c_t72_content" v-show="!lookWorkData">
- <div class="c_t72_c_item" v-for="item in processedWorkArray" :key="item.id" @click.stop="lookWork(item.id)">
- <div class="c_t72_c_i_top">
- <span>{{ item.name.charAt(0) }}</span>
- <div>{{ item.name }}</div>
- <div class="cast_sreen_btn" @click.stop="castScreen(item)" v-if="props.isCreator && props.roleType == 1 && isFollowModeActive && canValue">
- <IconCastScreen />
- {{ lang.ssCastScreen }}
- </div>
- </div>
- <div class="bottom_btn" v-if="likeValue">
- <div class="bottom_like" :class="{'active': item.isLikes}" @click.stop="handleLikeClick(item)">
- <IconThumbsUp />
- <span>{{ item.likesCount }}</span>
- </div>
- </div>
- </div>
- </div>
- <div class="aiAnalysis" style="margin-top:1rem ;"
- v-if="processedWorkArray.length > 0 && lookWorkData === null && props.showData.toolType === 72 && props.roleType == 1"
- @click.stop="clickContent(false)">
- <div class="ai_header">
- <div class="ai_title">
- <svg viewBox="0 0 1024 1024" width="200" height="200">
- <path
- d="M512 170.666667C323.477333 170.666667 170.666667 323.477333 170.666667 512s152.810667 341.333333 341.333333 341.333333 341.333333-152.810667 341.333333-341.333333S700.522667 170.666667 512 170.666667zM85.333333 512C85.333333 276.352 276.352 85.333333 512 85.333333s426.666667 191.018667 426.666667 426.666667-191.018667 426.666667-426.666667 426.666667S85.333333 747.648 85.333333 512z">
- </path>
- <path
- d="M693.013333 330.986667a42.666667 42.666667 0 0 1 10.304 43.648l-75.413333 226.282666a42.666667 42.666667 0 0 1-26.986667 26.986667l-226.282666 75.413333a42.666667 42.666667 0 0 1-53.973334-53.973333l75.434667-226.261333a42.666667 42.666667 0 0 1 26.986667-26.986667l226.282666-75.413333a42.666667 42.666667 0 0 1 43.648 10.304z m-222.72 139.306666l-41.685333 125.098667 125.077333-41.706667 41.706667-125.077333-125.077333 41.706667z">
- </path>
- </svg>{{ lang.ssAnalysis }}
- </div>
- <div class="ai_refresh" :class="{ 'disabled': currentAnalysis && currentAnalysis.loading }"
- @click.stop="aiAnalysisRefresh72()">
- {{ lang.ssAIGenerate }}
- <svg viewBox="0 0 1024 1024" width="200" height="200">
- <path
- d="M875 483c-33.4 0-60.5 27.1-60.5 60.5v0.1C814.4 710.3 678.8 846 512 846S209.5 710.3 209.5 543.5 345.2 241 512 241c36.8 0 71.7 7.6 104.4 19.7-32 3-57.4 29.1-57.4 61.9 0 34.8 28.2 63 63 63h201.9c34.8 0 63-28.2 63-63V120c0-34.8-28.2-63-63-63s-63 28.2-63 63v81.4C691 150.5 605.2 120 512 120 278.1 120 88.5 309.6 88.5 543.5S278.1 967 512 967s423.5-189.6 423.5-423.5c0-33.4-27.1-60.5-60.5-60.5z">
- </path>
- </svg>
- </div>
- </div>
- <div class="ai_content" v-if="currentAnalysis && currentAnalysis.json" v-html="currentAnalysis.json.text">
- </div>
- <div class="ai_updateTime" v-if="currentAnalysis">{{ lang.ssUpdateTime }}:{{ currentAnalysis.update_at }}
- </div>
- </div>
- <div class="c_t72_workDetail" v-if="lookWorkData" @click.stop="clickContent(false)">
- <div class="c_t72_wd_top">
- <img src="../../../assets/img/arrow_left.png" @click.stop="lookWork('')" v-if="!isCastScreen"/>
- <span>{{ lookWorkData.name.charAt(0) }}</span>
- <div>{{ lookWorkData.name }}</div>
- <div class="cast_sreen_btn" @click.stop="exitCastScreen" v-if="(props.isCreator && props.roleType == 1 && isCastScreen) || (!isFollowModeActive && isCastScreen)">
- <IconCastScreen />
- {{ lang.ssExitCastScreen }}
- </div>
- </div>
- <div class="c_t72_wd_content">
- <template v-for="(item, index) in lookWorkData.content" :key="item.id">
- <div class="messageNodeArea" v-if="item.messages || item.imageUrls">
- <div class="messageNode">
- <div class="mn_title">{{ lang.ssNodeTitle.replace(/\*/g, String(index + 1)) }}</div>
- <div class="mn_content">
- <template v-for="(item2, index2) in item.messages" :key="`${index}-${index2}`">
- <div>
- <div class="na_m_item" v-if="item2.role == 'user' && item2.content">
- <div class="na_m_i_name">
- {{ item2.sender }}
- </div>
- <div class="na_m_i_content" v-html="item2.content"></div>
- </div>
- <div class="na_m_item" v-if="item2.role == 'assistant' && item2.content">
- <div class="na_m_i_name aiName">
- {{ item2.sender }}
- </div>
- <div class="na_m_i_content" v-html="item2.content"></div>
- </div>
- </div>
- </template>
- <template v-if="item.imageUrls" v-for="(item3, index3) in item.imageUrls"
- :key="`${index}-${index3}`">
- <div class="na_m_item">
- <div class="na_m_i_name">
- {{ item.type }}
- </div>
- <div class="na_m_i_content">
- <img @click.stop="lookImage(item3)" style="height: 100px;width: auto;cursor: pointer;"
- :src="item3" />
- </div>
- </div>
- </template>
- </div>
- </div>
- </div>
- </template>
- </div>
- </div>
- </div>
- <!-- H5页面 -->
- <div class="c_t73" v-if="props.showData && props.showData.toolType === 73">
- <div class="c_t73_title">
- <div class="c_title">
- <span>{{ lang.ssPageImage }}</span>
- <div class="switch_btn" v-if="props.isCreator && props.roleType == 1">
- <div class="switch">
- <Switch :value="canValue" @update:value="handleCanChange" />
- <span>{{ lang.ssShowResult }}</span>
- </div>
- <div class="switch">
- <Switch :value="likeValue" @update:value="handleLikeChange" />
- <span>{{ lang.ssLike }}</span>
- </div>
- </div>
- </div>
- </div>
- <span class="c_t73_type">{{ lang.ssHPage }}</span>
- <div class="c_t73_msg" v-if="props.roleType == 1">
- <div>{{ lang.ssAnswerCount }} {{ props.workArray.length }}<span
- v-if="props.unsubmittedStudents.length > 0">/{{ props.workArray.length +
- props.unsubmittedStudents.length
- }}</span></div>
- <span v-if="props.unsubmittedStudents.length > 0" @click.stop="viewUnsubmittedStudents()">{{
- lang.ssViewSubmitStatus2 }}</span>
- </div>
- <div class="c_t73_content" v-show="!lookWorkData">
- <div class="c_t73_c_item" v-for="item in processedWorkArray" :key="item.id" @click.stop="lookWork(item.id)">
- <div class="c_t73_c_i_top">
- <span>{{ item.name.charAt(0) }}</span>
- <div>{{ item.name }}</div>
- <div class="cast_sreen_btn" @click.stop="castScreen(item)" v-if="props.isCreator && props.roleType == 1 && isFollowModeActive && canValue">
- <IconCastScreen />
- {{ lang.ssCastScreen }}
- </div>
- </div>
- <div class="c_t73_c_i_bottom">
- <img :src="item.content" />
- </div>
- <div class="bottom_btn" v-if="likeValue">
- <div class="bottom_like" :class="{'active': item.isLikes}" @click.stop="handleLikeClick(item)">
- <IconThumbsUp />
- <span>{{ item.likesCount }}</span>
- </div>
- </div>
- </div>
- </div>
- <div class="c_t73_workDetail" v-if="lookWorkData" @click.stop="clickContent(false)">
- <div class="c_t73_wd_top">
- <img src="../../../assets/img/arrow_left.png" @click.stop="lookWork('')" v-if="!isCastScreen"/>
- <span>{{ lookWorkData.name.charAt(0) }}</span>
- <div>{{ lookWorkData.name }}</div>
- <div class="cast_sreen_btn" @click.stop="exitCastScreen" v-if="(props.isCreator && props.roleType == 1 && isCastScreen) || (!isFollowModeActive && isCastScreen)">
- <IconCastScreen />
- {{ lang.ssExitCastScreen }}
- </div>
- </div>
- <div class="c_t73_wd_content">
- <img :src="lookWorkData.content" />
- </div>
- </div>
- </div>
- </div>
- <previewImageTool ref="previewImageToolRef" />
- <selectUserDialog ref="selectUserDialogRef" />
- <echartsDialog ref="echartsDialogRef" />
- </div>
- </template>
- <script setup lang="ts">
- import { computed, ref, watch, onUnmounted, nextTick, onMounted } from 'vue'
- import * as echarts from 'echarts'
- import previewImageTool from '../../components/tool/previewImageTool.vue'
- import MarkdownIt from 'markdown-it'
- import useImport from '@/hooks/useImport'
- import { lang } from '@/main'
- import selectUserDialog from './selectUserDialog.vue'
- import echartsDialog from './echartsDialog.vue'
- import { chat_stream, chat_no_stream } from '@/tools/aiChat'
- import axios from '@/services/config'
- import Switch from '@/components/Switch.vue'
- import { likeWork } from '@/services/course'
- const props = defineProps<{
- visible: number[];
- workIndex: number;
- slideWidth: number;
- slideHeight: number;
- slideIndex: number;
- showData: any;
- workArray: any[];
- unsubmittedStudents: any[];
- courseDetail: any;
- userId: string;
- workId: string;
- cid: string;
- workUrl: string;
- roleType: number;
- resultArray: { [key: string]: any };
- isCreator: boolean;
- isFollowModeActive: boolean;
- courseid: string;
- }>()
- const emit = defineEmits<{
- (e: 'update:visible', v: number[]): void;
- (e: 'changeWorkIndex', v: number): void;
- (e: 'setIsResultArray', v: boolean, key: string): void;
- (e: 'successLike'): void;
- (e: 'sendMessage', v: any): void;
- }>()
- const visible = computed({
- get: () => props.visible,
- set: (v: number[]) => emit('update:visible', v),
- })
- const workDetail = computed(() => {
- if (props.showData) {
- return props.showData.workDetail
- }
- return null
- })
- const canValue = ref(props.resultArray?.can ?? false)
- watch(() => props.resultArray?.can, (newVal) => {
- canValue.value = newVal
- })
- const likeValue = ref(props.resultArray?.like ?? false)
- watch(() => props.resultArray?.like, (newVal) => {
- likeValue.value = newVal
- })
- const anonymousValue = ref(props.resultArray?.anonymous ?? false)
- watch(() => props.resultArray?.anonymous, (newVal) => {
- anonymousValue.value = newVal
- })
- const handleCanChange = (value: boolean) => {
- console.log(value)
- console.log(props.resultArray)
- emit('setIsResultArray', value, 'can')
- }
- const handleLikeChange = (value: boolean) => {
- if (value && !canValue.value) {
- emit('setIsResultArray', true, 'can')
- }
- console.log(value)
- console.log(props.resultArray)
- emit('setIsResultArray', value, 'like')
- }
- const handleAnonymousChange = (value: boolean) => {
- console.log(value)
- console.log(props.resultArray)
- emit('setIsResultArray', value, 'anonymous')
- }
- import _ from 'lodash'
- import type { workerData } from 'worker_threads'
- const handleLikeClick = _.debounce((item: any) => {
- likeWork({
- wid: item.id,
- lid: props.userId,
- t: 1,
- c: ''
- })
- emit('successLike')
- }, 300)
- // 预览图片组件
- const previewImageToolRef = ref<any>(null)
- // 选择用户组件
- const selectUserDialogRef = ref<any>(null)
- // 词云图组件
- const echartsDialogRef = ref<any>(null)
- // ai分析数据
- const aiAnalysisData = ref<Array<any>>([])
- const md = new MarkdownIt({
- html: true,
- })
- const { getFile } = useImport()
- // 判断是否是 URL 链接
- const isUrl = (str: string): boolean => {
- try {
- const url = new URL(str)
- return (url.protocol === 'http:' || url.protocol === 'https:') && str.includes('json')
- }
- catch {
- return false
- }
- }
- // 从链接获取文件内容
- const loadContentFromUrl = async (url: string): Promise<string> => {
- try {
- const fileData = await getFile(url)
- if (fileData && fileData.data) {
- // 将 ArrayBuffer 转为字符串
- const uint8Array = new Uint8Array(fileData.data)
- const jsonStr = new TextDecoder('utf-8').decode(uint8Array)
- return jsonStr
- }
- return ''
- }
- catch (error) {
- console.error('获取文件内容失败:', error)
- return ''
- }
- }
- // 处理单个作业内容
- const processWorkContent = async (content: string, toolType: number): Promise<any> => {
- let contentToParse = content
- // 如果是链接,先获取文件内容
- if (isUrl(content)) {
- contentToParse = await loadContentFromUrl(content)
- }
- if (!contentToParse) {
- return null
- }
- try {
- if ([45, 15, 78, 79].includes(toolType)) {
- return JSON.parse(decodeURIComponent(contentToParse))
- }
- else if (toolType === 72) {
- const parsed = JSON.parse(contentToParse)
- if (Array.isArray(parsed)) {
- parsed.forEach((item: any) => {
- if (item.messages && item.messages.length) {
- item.messages.forEach((item2: any) => {
- // 如果已经包含html标签则不再渲染
- if (
- !/^(\s*<[^>]+>.*<\/[^>]+>\s*|<[^>]+\/>\s*)$/s.test(
- item2.content.trim()
- )
- ) {
- item2.content = item2.content.replace(/</g, '<').replace(/"/g, '"').replace(/>/g, '>')
- item2.content = md.render(item2.content)
- }
- })
- }
- })
- }
- return parsed
- }
- return contentToParse
- }
- catch (error) {
- console.error('解析内容失败:', error)
- return null
- }
- }
- const processedWorkArray = ref<any[]>([])
- // 监听 workArray 和 showData 变化
- watch(
- () => [props.workArray, props.showData?.toolType],
- async () => {
- if (props.workArray && props.showData) {
- const _workArray = JSON.parse(JSON.stringify(props.workArray))
- // 处理每个作业内容
- for (const i of _workArray) {
- if (i.content) {
- const processedContent = await processWorkContent(i.content, props.showData.toolType)
- if (processedContent !== null) {
- i.content = processedContent
- }
- }
- }
- processedWorkArray.value = _workArray
- }
- else {
- processedWorkArray.value = []
- }
- },
- { immediate: true, deep: true }
- )
- // 关闭对应的作业详细页面
- const closeSlideIndex = () => {
- visible.value = visible.value.filter((v) => v !== props.slideIndex)
- }
- // 切换题目
- const changeWorkIndex = (type: number) => {
- emit('changeWorkIndex', type)
- // console.log(props.workIndex, props.showData.choiceQuestionListData.length)
- // if (type === 0 && props.workIndex > 0) {
- // emit('changeWorkIndex', 0)
- // }
- // else if (type === 1 && props.workIndex < props.showData.choiceQuestionListData.length) {
- // emit('changeWorkIndex', props.workIndex + 1)
- // }
- }
- // 选择题图表div
- const echartsArea1 = ref<any>(null)
- // 查看的作业详细id
- const lookWorkDetail = ref<string>('')
- // 查看作业详细的数据
- const lookWorkData = computed(() => {
- let _result = null
- if (lookWorkDetail.value && processedWorkArray.value.length > 0) {
- const _workFind = processedWorkArray.value.find(
- (i: any) => i.id === lookWorkDetail.value
- )
- if (_workFind) {
- _result = _workFind
- }
- }
- return _result
- })
- // 查看图片
- const lookImage = (url: string) => {
- if (previewImageToolRef.value) {
- previewImageToolRef.value.previewImage(url)
- }
- }
- const lookWorkIndex = ref<number>(0)
- // 查看作业
- const lookWork = (id: string) => {
- lookWorkIndex.value = 0
- lookWorkDetail.value = id
- if (isCastScreen.value && !id) {
- emit('sendMessage', {
- type: 'exit_cast_screen',
- courseid: props.courseid,
- })
- isCastScreen.value = false
- }
- }
- const isCastScreen = ref<boolean>(false)
- // 投屏
- const castScreen = (item: any) => {
- lookWorkIndex.value = 0
- lookWorkDetail.value = item.id
- isCastScreen.value = true
- emit('sendMessage', {
- type: 'cast_screen',
- courseid: props.courseid,
- workerData: item
- })
- console.log(item)
- }
- // 退出投屏
- const exitCastScreen = () => {
- if (props.roleType != 1) {
- isCastScreen.value = false
- }
- lookWork('')
- }
- // 暴露给父级(Student/index.vue)用 ref 调用
- defineExpose({ castScreen, exitCastScreen })
- // 切换查看作业图片
- const changelookWorkIndex = (type: number) => {
- if (type === 0 && lookWorkIndex.value > 0) {
- lookWorkIndex.value = lookWorkIndex.value - 1
- }
- else if (type === 1 && lookWorkIndex.value < lookWorkData.value.content.fileList.length - 1) {
- lookWorkIndex.value = lookWorkIndex.value + 1
- }
- }
- // 选择题图表实例
- const myChart = ref<any>(null)
- // resize防抖定时器
- let resizeTimer: ReturnType<typeof setTimeout> | null = null
- // 处理ECharts resize
- const handleChartResize = () => {
- // 清除之前的定时器
- if (resizeTimer) {
- clearTimeout(resizeTimer)
- }
- resizeTimer = setTimeout(() => {
- nextTick(() => {
- if (
- myChart.value &&
- typeof myChart.value.resize === 'function' &&
- !myChart.value.isDisposed()
- ) {
- try {
- myChart.value.resize()
- }
- catch (e) {
- // console.error('myChart resize error:', e)
- // 如果resize失败,重新初始化图表
- if (
- props.showData &&
- props.showData.workDetail &&
- (props.showData.workDetail.type === '45' || props.showData.workDetail.type === '78')
- ) {
- setEchartsArea1()
- }
- }
- }
- })
- }, 200) // 防抖延迟200ms
- }
- // 设置选择题图表
- const setEchartsArea1 = () => {
- // 如果已有实例且未销毁,先销毁
- if (myChart.value && !myChart.value.isDisposed()) {
- myChart.value.dispose()
- }
- if (echartsArea1.value) {
- myChart.value = echarts.init(echartsArea1.value)
- }
- else {
- myChart.value = null
- }
- if (myChart.value) {
- const _work =
- props.showData.choiceQuestionListData[props.showData.workIndex]
- console.log('_work', _work)
- // 修正版,处理xAxis.data内为图片对象的case,formatter始终只拿到src或自定义label,保证无[object Object]问题
- const option = {
- tooltip: {
- show: false, // 禁用鼠标移动到柱体时的内容显示
- },
- yAxis: {
- show: false, // 不显示最左边的y轴
- },
- xAxis: {
- data: [],
- axisLabel: {
- color: 'rgba(0, 0, 0, 0.9)',
- fontWeight: 600,
- fontSize: 17,
- lineHeight: 20,
- interval: 0,
- formatter: function(value: any, idx: number) {
- // 如果是字符串且格式为JSON(图片),则解析处理
- if (typeof value === 'string') {
- try {
- const obj = JSON.parse(value)
- if (obj && typeof obj === 'object' && obj.imgType && obj.src) {
- return '{img' + idx + '|}'
- }
- }
- catch (e) {
- // 非JSON字符串,直接返回
- // 如果文本文字超过8个字,换行
- if (typeof value === 'string') {
- // 判断value是否全是英文
- const isAllEnglish = /^[a-zA-Z0-9\s\p{P}]+$/u.test(value)
- let displayValue = value
- const maxLength = isAllEnglish ? 30 : 20
- const lineLength = isAllEnglish ? 16 : 8
- if (value.length > maxLength) {
- displayValue = value.substr(0, maxLength) + '...'
- }
- // 换行处理
- let output = ''
- for (let i = 0; i < displayValue.length; i += lineLength) {
- output += displayValue.substr(i, lineLength)
- if (i + lineLength < displayValue.length) {
- output += '\n'
- }
- }
- return output
- }
- return value
- }
- return value
- }
- // 兼容老格式(容错):value本身是对象,并有图片信息
- if (
- value &&
- typeof value === 'object' &&
- value.imgType &&
- value.src
- ) {
- return '{img' + idx + '|}'
- }
- // 其他类型直接空
- return ''
- },
- rich: (() => {
- // 动态生成所有图片的 rich 格式
- const richObj: any = {}
- _work.choiceUser.forEach((op: any, idx: number) => {
- if (
- op.option &&
- typeof op.option === 'object' &&
- op.option.imgType &&
- op.option.src
- ) {
- richObj['img' + idx] = {
- height: 40,
- width: 40,
- align: 'center',
- backgroundColor: {
- image: op.option.src,
- },
- }
- }
- })
- return richObj
- })(),
- },
- },
- series: [
- {
- name: '',
- type: 'bar',
- data: [],
- barMaxWidth: 80, // 柱体最宽80px,数量多则自适应
- itemStyle: {
- color: 'rgba(252, 207, 0, 1)',
- },
- label: {
- show: true,
- position: 'top',
- color: 'rgba(116, 139, 115, 1)',
- fontSize: 22,
- fontWeight: 500,
- lineHeight: 24,
- },
- },
- ],
- }
- _work.choiceUser.forEach((i: any, idx: number) => {
- // 如果是图片,存src对象,否则为字符串
- if (
- i.option &&
- typeof i.option === 'object' &&
- i.option.imgType &&
- i.option.src
- ) {
- (option.xAxis.data as any[]).push(
- JSON.stringify({ imgType: i.option.imgType, src: i.option.src })
- ) // 仅保留相关字段
- }
- else if (typeof i.option === 'string') {
- (option.xAxis.data as any[]).push(i.option)
- }
- else {
- (option.xAxis.data as any[]).push('')
- }
- (option.series[0].data as any[]).push(i.user.length)
- })
- // console.log(option)
- // {
- // title: {
- // text: 'ECharts 入门示例'
- // },
- // tooltip: {},
- // xAxis: {
- // data: ['衬衫', '羊毛衫', '雪纺衫', '裤子', '高跟鞋', '袜子']
- // },
- // yAxis: {},
- // series: [
- // {
- // name: '销量',
- // type: 'bar',
- // data: [5, 20, 36, 10, 10, 20]
- // }
- // ]
- // }
- myChart.value.setOption(option)
- myChart.value.off('click')
- myChart.value.on('click', (params: any) => {
- const idx = params.dataIndex
- const selectedOption = _work.choiceUser[idx]
- if (selectedOption && selectUserDialogRef.value) {
- // console.log(selectedOption)
- console.log('selectedOption', selectedOption)
- const selectedOption2 = {...selectedOption}
- if (anonymousValue.value) {
- selectedOption2.user = selectedOption2.user.map((item: any, index: number) => lang.ssAnonymousUser + (index + 1))
- }
- selectUserDialogRef.value.open(`${lang.ssSelectUser.replace('{a}', '<span>' + selectedOption2.index + '</span>')}`, selectedOption2)
- }
- })
- }
- }
- // 获取分析
- const getAnalysis = () => {
- if (!props.workId) {
- return
- }
- console.log('props.workId', props.workId)
- const params = {
- pid: props.workId + (props.cid ? ',' + props.cid : ''),
- }
- axios.get('https://pbl.cocorobo.cn/api/pbl/select_pptAnalysisByPid?pid=' + params.pid).then(res => {
- const data = res[0]
- if (data.length) {
- data.forEach((item: any) => {
- try {
- item.json = JSON.parse(item.json)
- }
- catch (error) {
- item.json = { text: item.json, echartsData: '' }
- }
- })
- aiAnalysisData.value = data
- }
- else {
- aiAnalysisData.value = []
- }
- }).catch(err => {
- console.log('get_pptAnalysis_err', err)
- })
- }
- // 监听选择题数据变化
- watch(
- () => props.showData,
- (newVal, oldVal) => {
- console.log('发生变化,showData')
- if (
- newVal &&
- newVal.choiceQuestionListData[newVal.workIndex] &&
- (props.showData.workDetail.type === '45' || props.showData.workDetail.type === '78')
- ) {
- if (
- oldVal &&
- newVal.choiceQuestionListData[newVal.workIndex] &&
- oldVal.choiceQuestionListData[oldVal.workIndex]
- ) {
- if (
- JSON.stringify(newVal.choiceQuestionListData[newVal.workIndex]) !==
- JSON.stringify(oldVal.choiceQuestionListData[oldVal.workIndex])
- ) {
- setEchartsArea1()
- }
- }
- }
- else {
- myChart.value = null
- }
- // console.log('newVal', newVal)
- // if(newVal && newVal.workDetail && newVal.workDetail.id){
- // getAnalysis()
- // }
- // getAnalysis()
- },
- { immediate: true, deep: true }
- )
- // 监听作业变化
- watch(
- () => props.showData?.choiceQuestionListData,
- (newVal, oldVal) => {
- console.log('choiceQuestionListData变化了')
- if (
- (newVal || newVal === 0) &&
- props.showData.workDetail &&
- (props.showData.workDetail.type === '45' || props.showData.workDetail.type === '78')
- ) {
- if (JSON.stringify(newVal) !== JSON.stringify(oldVal)) {
- setEchartsArea1()
- }
- else {
- console.log('choiceQuestionListData没有变化')
- }
- }
- else {
- myChart.value = null
- }
- },
- { deep: true }
- )
- // 监听作业变化
- watch(
- () => props.showData?.workIndex,
- (newVal) => {
- if (
- (newVal || newVal === 0) &&
- props.showData.workDetail &&
- (props.showData.workDetail.type === '45' || props.showData.workDetail.type === '78')
- ) {
- setEchartsArea1()
- }
- else {
- myChart.value = null
- }
- }
- )
- // 监听echartsArea1变化
- watch(
- () => echartsArea1.value,
- (newVal) => {
- if (
- newVal &&
- props.showData &&
- props.showData.workDetail &&
- (props.showData.workDetail.type === '45' || props.showData.workDetail.type === '78')
- ) {
- setEchartsArea1()
- }
- else {
- myChart.value = null
- }
- }
- )
- // 监听页面宽度变化
- watch(
- () => props.slideWidth,
- (newVal) => {
- if (
- newVal &&
- props.showData &&
- props.showData.workDetail &&
- (props.showData.workDetail.type === '45' || props.showData.workDetail.type === '78')
- ) {
- handleChartResize()
- }
- }
- )
- // 查看未提交学生
- const viewUnsubmittedStudents = () => {
- selectUserDialogRef.value.open(lang.ssSubmitStatus, { user: props.unsubmittedStudents.map((item: any) => item.name), notFiledUser: props.unsubmittedStudents.map((item: any) => item.name), isSubmitUser: props.workArray.map((item: any) => item.name) })
- // if (props.unsubmittedStudents.length > 0) {
- // unsubmittedStudentsDialogRef.value.open(props.unsubmittedStudents)
- // }
- }
- // ai生成选择题分析 选择题
- const aiAnalysisRefresh45 = () => {
- const _work = props.showData.choiceQuestionListData[props.showData.workIndex]
- const msg = `# CONTEXT #
- 你是K-12阶段的AI教育课堂分析助手,基于上传的课件、逐字稿,以及当页的学生答题数据(选择题/问答题/智能体对话)进行智能分析。
- # OBJECTIVE #
- 输出当前学生答题的分析报告:整体表现、核心发现(共性问题/误区)、教学优化(改进方向),为教师提供教学策略的建议和支持。
- #INPUT#
- 课程数据:
- - 课程名称:${props.courseDetail.title}
- - 课程学科:${props.courseDetail.name}
- 当前页面答题数据(选择题):【分析重点】
- - 选择题题目:${_work.teststitle}
- - 选项数据:${JSON.stringify(_work.choiceUser)}
- - 题目图片:${_work.timuList.lenght ? _work.timuList[0].src : ''}
- - 未提交学生:${JSON.stringify(props.showData.unsubmittedStudents.map((item: any) => item.name))}
- # ANALYSIS RULES #
- 1. **问题定位**:明确指出哪个知识点/概念/步骤掌握不佳
- 2. **建议具体**:给出可执行的教学动作(如“增加XX实例演练”“补充XX对比图”)
- # RESPONSE #
- 采用段落叙述,数据量化呈现,突出可操作建议,严格控制输出为80词内。采用三段式论述:
- 1. 整体表现-1句话
- 2. 核心发现-1-2句,指出共性问题+典型案例
- 3. 改进建议-1句话,提出具体教学动作
- # EXAMPLES #
- 样例:
- 选择题正确率62%,核心概念“机器学习三步骤”(输入数据→训练模型→预测结果)掌握尚可,但“训练与预测区分”混淆率达38%;建议强化训练vs预测对比教学。`
- if (!currentAnalysis.value) {
- aiAnalysisData.value.push({
- pid: props.workId + (props.cid ? ',' + props.cid : ''),
- index: props.showData.workIndex,
- loading: true,
- generatingContent: true,
- json: { text: '', echartsData: '' },
- noEnd: true,
- update_at: '',
- create_at: '',
- })
- }
- else {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).loading = true
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json = { text: '', echartsData: '' }
- }
- chat_stream(msg, 'a7741704-ba56-40b7-a6b8-62a423ef9376', props.userId, lang.lang, (event) => {
- if (event.type === 'message') {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json.text = event.data
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).loading = false
- }
- else if (event.type === 'messageEnd') {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json.text = event.data
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).noEnd = false
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).update_at = new Date().toLocaleString('zh-CN', { year: 'numeric', month: '2-digit', day: '2-digit', hour: '2-digit', minute: '2-digit', second: '2-digit', hour12: false }).replace(/\//g, '-')
- saveAnalysis()
- }
- }).catch(err => {
- console.log('err', err)
- })
- }
- // ai生成投票分析 投票
- const aiAnalysisRefresh78 = () => {
- const _work = props.showData.choiceQuestionListData[props.showData.workIndex]
- const msg = `# CONTEXT #
- 你是K-12阶段的AI教育课堂分析助手,基于上传的课件、逐字稿,以及当页的学生答题数据(选择题/问答题/智能体对话/投票)进行智能分析。
- # OBJECTIVE #
- 输出当前学生答题的分析报告:整体表现、核心发现(共性问题/误区)、教学优化(改进方向),为教师提供教学策略的建议和支持。
- #INPUT#
- 课程数据:
- - 课程名称:${props.courseDetail.title}
- - 课程学科:${props.courseDetail.name}
- 当前页面答题数据(投票):【分析重点】
- - 投票题目:${_work.teststitle}
- - 选项数据:${JSON.stringify(_work.choiceUser)}
- - 题目图片:${_work.timuList.lenght ? _work.timuList[0].src : ''}
- - 未提交学生:${JSON.stringify(props.showData.unsubmittedStudents.map((item: any) => item.name))}
- # ANALYSIS RULES #
- 1. **问题定位**:明确指出哪个知识点/概念/步骤掌握不佳
- 2. **建议具体**:给出可执行的教学动作(如“增加XX实例演练”“补充XX对比图”)
- # RESPONSE #
- 采用段落叙述,数据量化呈现,突出可操作建议,严格控制输出为80词内。采用三段式论述:
- 1. 整体表现-1句话
- 2. 核心发现-1-2句,指出共性问题+典型案例
- 3. 改进建议-1句话,提出具体教学动作
- # EXAMPLES #
- 样例:
- 选择题正确率62%,核心概念“机器学习三步骤”(输入数据→训练模型→预测结果)掌握尚可,但“训练与预测区分”混淆率达38%;建议强化训练vs预测对比教学。`
- if (!currentAnalysis.value) {
- aiAnalysisData.value.push({
- pid: props.workId + (props.cid ? ',' + props.cid : ''),
- index: props.showData.workIndex,
- loading: true,
- generatingContent: true,
- json: { text: '', echartsData: '' },
- noEnd: true,
- update_at: '',
- create_at: '',
- })
- }
- else {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).loading = true
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json = { text: '', echartsData: '' }
- }
- chat_stream(msg, 'a7741704-ba56-40b7-a6b8-62a423ef9376', props.userId, lang.lang, (event) => {
- if (event.type === 'message') {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json.text = event.data
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).loading = false
- }
- else if (event.type === 'messageEnd') {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json.text = event.data
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).noEnd = false
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).update_at = new Date().toLocaleString('zh-CN', { year: 'numeric', month: '2-digit', day: '2-digit', hour: '2-digit', minute: '2-digit', second: '2-digit', hour12: false }).replace(/\//g, '-')
- saveAnalysis()
- }
- }).catch(err => {
- console.log('err', err)
- })
- }
- // 问答题
- const aiAnalysisRefresh15 = () => {
- let flag = 0
- const msg = `# CONTEXT #
- 你是K-12阶段的AI教育课堂分析助手,基于上传的课件、逐字稿,以及当页的学生答题数据(选择题/问答题/智能体对话)进行智能分析。
- # OBJECTIVE #
- 输出当前学生答题的分析报告:整体表现、核心发现(共性问题/误区)、教学优化(改进方向),为教师提供教学策略的建议和支持。
- #INPUT#
- 课程数据:
- - 课程名称:${props.courseDetail.title}
- - 课程学科:${props.courseDetail.name}
- 当前页面答题数据(问答题):【分析重点】
- - 问答题题目:${props.showData.workDetail.json.answerQ}
- - 回答数据:${JSON.stringify(processedWorkArray.value.map((i) => ({ user: i.name, answer: i.content.answer })))}
- - 未提交学生:${JSON.stringify(props.showData.unsubmittedStudents.map((item: any) => item.name))}
- # ANALYSIS RULES #
- 1. **问题定位**:明确指出哪个知识点/概念/步骤掌握不佳
- 2. **建议具体**:给出可执行的教学动作(如“增加XX实例演练”“补充XX对比图”)
- # RESPONSE #
- 采用段落叙述,数据量化呈现,突出可操作建议,严格控制输出为80词内。采用三段式论述:
- 1. 整体表现-1句话
- 2. 核心发现-1-2句,指出共性问题+典型案例
- 3. 改进建议-1句话,提出具体教学动作
- # EXAMPLES #
- 样例:
- 30人中15人提交问答题(参与率50%),核心概念“同理心地图”掌握薄弱。发现学生13在智能体对话中6次答“不知道”,需单独辅导设计思维基础概念。建议课程增加POV框架实例演练,强化痛点识别能力训练。`
- if (!currentAnalysis.value) {
- aiAnalysisData.value.push({
- pid: props.workId + (props.cid ? ',' + props.cid : ''),
- index: props.showData.workIndex,
- loading: true,
- generatingContent: true,
- json: { text: '', echartsData: '' },
- noEnd: true,
- update_at: '',
- create_at: '',
- })
- }
- else {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).loading = true
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json = { text: '', echartsData: '' }
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).generatingContent = true
- }
- getWordCloud15().then((res) => {
- flag += 1
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).generatingContent = false
- if (flag == 2) {
- saveAnalysis()
- }
- })
- chat_stream(msg, 'a7741704-ba56-40b7-a6b8-62a423ef9376', props.userId, lang.lang, (event) => {
- console.log(event)
- if (event.type === 'message') {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json.text = event.data
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).loading = false
- }
- else if (event.type === 'messageEnd') {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json.text = event.data
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).noEnd = false
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).update_at = new Date().toLocaleString('zh-CN', { year: 'numeric', month: '2-digit', day: '2-digit', hour: '2-digit', minute: '2-digit', second: '2-digit', hour12: false }).replace(/\//g, '-')
- flag += 1
- if (flag == 2) {
- saveAnalysis()
- }
- }
- }).catch(err => {
- console.log('err', err)
- })
- }
- // 打开词云图弹窗
- const openEchatsDialog = () => {
- if (echartsDialogRef.value && currentAnalysis.value.json.echartsData) {
- echartsDialogRef.value.open(lang.ssKeywordCloud, currentAnalysis.value.json.echartsData)
- }
- }
- // 问答题获取词云图与关键词
- const getWordCloud15 = () => {
- return new Promise((resolve,) => {
- const msg = `## 任务
- 请针对文本中学生提交的问答题回答内容进行深度分析,提炼出 10 - 30 个核心关键词,用于绘制词云图。
- ## 提取准则
- 1. 聚焦内容主体:仅从学生的具体回答文本中提取关键词。
- 2. 严格排除杂质:禁止提取任何属于系统元数据或固定格式的词汇,包括但不限于:“课程数据”、“学生姓名”、“回答结果”、“课程标题”、“提交时间”、“作业名称”、“分数”等。
- 3. 语义去重:将意思相近的词进行合并(例如“高效”与“效率高”),保留最具代表性的词条。
- 4. 涵盖核心:关键词应准确反映学生回答中的核心观点、关键知识点、高频论据或情感倾向。
- ## 任务要求
- 1. 词频统计:计算每个有效关键字在回答内容中出现的频率。
- 2. 词汇大小:根据词频,确定每个关键字在词云中的权重。词频越高,数值越大,范围 1 - 100。
- 3. 输出格式:请严格按照 JSON 格式输出,包含关键词、词频及对应的词汇大小。
- ## 文本
- 课程数据:
- - 课程名称:${props.courseDetail.title}
- - 课程学科:${props.courseDetail.name}
- - 需要提交人数:${props.showData.workArray.length + props.showData.unsubmittedStudents.length}
- - 已提交人数:${props.showData.workArray.length}
- 当前页面答题数据(问答题):【分析重点】
- - 问答题题目:${props.showData.workDetail.json.answerQ}
- - 回答数据:${JSON.stringify(processedWorkArray.value.map((i) => ({ answer: i.content.answer })))}
- ## 输出示例
- {"tooltip":{"show":false},"series":[{"type":"wordCloud","sizeRange":[14,38],"rotationRange":[0,0],"keepAspect":false,"shape":"circle","left":"center","top":"center","right":null,"bottom":null,"width":"100%","height":"100%","rotationStep":20,"data":[{"value":"词汇大小,数值范围1-100","name":"词汇","textStyle":{"color":"词汇颜色(16进制)"}},{"value":"词汇大小,数值范围1-100","name":"词汇","textStyle":{"color":"(16进制)"}}]}]}`
- chat_no_stream(msg, 'a7741704-ba56-40b7-a6b8-62a423ef9376', props.userId, lang.lang).promise.then((res) => {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json.echartsData = JSON.parse(res)
- resolve(1)
- }).catch(err => {
- console.log('err', err)
- resolve(0)
- })
- })
- }
- // ai应用
- const aiAnalysisRefresh72 = async () => {
- let chatMsg = ``
- const agentId = 'a7741704-ba56-40b7-a6b8-62a423ef9376'
- console.log('processedWorkArray.value', processedWorkArray.value)
- processedWorkArray.value.forEach((i) => {
- if (typeof i.content === 'object') {
- i.content.forEach(j => {
- if (j.messages) {
- j.messages.forEach((a) => {
- chatMsg += `\n${a.sender}:
- ${a.content}\n`
- })
- }
- if (j.imageUrls) {
- j.imageUrls.forEach((a) => {
- chatMsg += `\n${a}\n`
- })
- }
- })
- }
- })
- // if(props.userId)
- // - 未提交学生:${JSON.stringify(props.showData.unsubmittedStudents.map((item: any) => item.name))}
- let msg = `# CONTEXT #
- 你是K-12阶段的AI教育课堂分析助手,基于上传的课件、逐字稿,以及当页的学生答题数据(选择题/问答题/智能体对话)进行智能分析。
- # OBJECTIVE #
- 输出当前学生答题的分析报告:整体表现、核心发现(共性问题/误区)、教学优化(改进方向),为教师提供教学策略的建议和支持。
- #INPUT#
- 课程数据:
- - 课程名称:${props.courseDetail.title}
- - 课程学科:${props.courseDetail.name}
- - 需要提交人数:${props.showData.workArray.length + props.showData.unsubmittedStudents.length}
- - 已提交人数:${props.showData.workArray.length}
- 当前页面答题数据(问答题):【分析重点】
- - AI应用
- - 对话数据:${chatMsg}
- # ANALYSIS RULES #
- 1. **问题定位**:明确指出哪个知识点/概念/步骤掌握不佳
- 2. **建议具体**:给出可执行的教学动作(如“增加XX实例演练”“补充XX对比图”)
- # RESPONSE #
- 采用段落叙述,数据量化呈现,突出可操作建议,严格控制输出为80词内。采用三段式论述:
- 1. 整体表现-1句话
- 2. 核心发现-1-2句,指出共性问题+典型案例
- 3. 改进建议-1句话,提出具体教学动作
- # EXAMPLES #
- 样例:
- 智能体对话显示学生对“模型训练”概念模糊,多次询问“为什么不能直接告诉机器答案”。针对概念混淆学生,补充“人类学习类比”相关解释,巩固“从数据中学习规律”核心认知。`
- if (['9c236d45-49cd-11f1-9985-005056924926'].includes(props.userId)) {
- msg = `你是K-12阶段的AI教育课堂分析助手,基于当前课程信息以及当页的学生与单/多智能体对话数据,进行深入的智能分析。
- ### 任务目标
- 1. **总体统计分析**:
- - 分析学生表现数据,例如全班学生互动数据,包括但不限于参与度、互动轮次、作文批改分布、作业完成情况等。
- - 提取核心统计指标,例如发现共性问题、互动模式、分层水平分布、关键评分、完成度、优秀或需关注的学生。
- 2. **洞察(Key Insights)**:
- - 不是所有模块都需要的
- - 输出的模块使用1~3句快速完成核心发现输出
- - 保持简短、直观、易快速理解。
- 3. **不输出教学建议或干预措施**。
- ### 输出格式
- 1. Markdown表格:展示关键统计指标(发言次数、互动频率、提问数量、主题分布)。
- 2. ASCII条形图(可选):展示各项指标对比情况(绝对不要ASCII条形图,应该显示指标名字)
- 3. 洞察与建议:分点呈现,每点对应具体统计指标或数据来源,保持精简,直观、易快速理解。
- **注意,不必输出多余的开场白(可以有非常简短的),转场,铺垫,形容词等,尽可能把输出留给有价值的发现**
- **对于重点要注意的内容,可以用 <span style="color:red"> 内容 </span> 以及 markdown的强调语法来highlight**
- ### 注意事项
- - 输出简洁明了,重点突出。
- - 所有数字列右对齐,必要时显示百分比。
- - 避免冗长文字和详细案例描述。
- - 保持专业、友好语气,可使用 Emoji 提示情绪、课堂氛围或学生表现状态。
- - 输出保持在600字左右
- #INPUT#
- 课程数据:
- - 课程名称:${props.courseDetail.title}
- - 课程学科:${props.courseDetail.name}
- 当前页面答题数据(问答题):【分析重点】
- - AI应用
- - 对话数据:${chatMsg}
- `
- }
- else if (['6c56ec0e-2c74-11ef-bee5-005056b86db5', 'aea65da6-4399-11f1-9985-005056924926'].includes(props.userId)) {
- if (props.workUrl == 'https://knowledge.cocorobo.cn/zh-CN/story-telling/a1a339d4-f522-4336-9aa9-e8394bea9731') {
- msg = `# 角色定位
- 你是K-12阶段的AI课堂分析助手,负责基于学生对世界名画的英语宣传稿(promotional text)批改记录生成课堂学情分析报告。
- 本次分析的内容来自六年级英语Art课堂,学生选择一幅画作并完成英语宣传稿写作,由AI智能体完成批改,分为 Level A(独立完成)、Level B(信息辅助)、Level C(支架辅助)两个等级。
- ---
- # 重要:数据解读规则(必须在生成报告前完成)
- 在输出任何报告内容之前,必须先完成以下两步结构化提取。
- 所有报告数字必须来源于此,禁止前后矛盾。
- ---
- ## 第一步:逐学生提取数据
- (此步骤为内部处理步骤,不输出提取结果。)
- ### 有效作文判断
- 在提取每位学生数据之前,先判断该学生是否提交了有效作文:
- **有效作文:** AI批改记录中出现了完整的"作文批改报告"结构(包含信息完整性表格、表达鲜活度、文化小触角、语法小诊断中至少两项),视为学生已提交有效内容,正常提取数据。
- **无效提交:** 以下情况均视为无效提交,不纳入各维度统计,仅在总结部分单独列出:
- - AI输出"未检测到有效的写作内容"
- - AI批改记录缺失或仅有对话内容而无批改报告结构
- - 学生仅回复单个词语、符号或与写作任务完全无关的内容
- **注意:** 不得根据学生与AI的后续对话内容(如学生补充回复、追问等)判断写作有效性,仅以AI是否输出完整批改报告为准。
- ### 等级识别
- 从批改记录中识别学生选择的等级:
- - 选择"I can wtite. 我可以自己写。" → Level A
- - 选择"I need information. 我需要信息支持。" → Level B
- - 选择"I need structure. 我需要支架。" → Level C
- ### 信息完整与准确性提取
- 检查批改报告中的信息完整性表格,逐项记录每位学生的情况:
- | 信息点 | 是否正确 |
- |---|---|
- | 画名 | 是/否 |
- | 画家 | 是/否 |
- | 绘画种类 | 是/否 |
- | 画面描述(颜色/内容) | 是/否 |
- | 个人感受 | 是/否 |
- 对每位学生统计:
- - 全部正确的信息点数量(满分5项)
- - 有错误或遗漏的具体信息点
- ### 表达鲜活度提取
- 从批改记录的"表达鲜活度"部分,判断:
- - ✅ 表达生动:使用了形容词、比喻、比较句或个人联想
- - ⚠️ 表达平淡:仅使用简单句型,缺乏个人想法
- ### 文化小触角提取
- 从批改记录的"文化小触角"部分,判断:
- - ✅ 有涉及:自然提到中西艺术差异或文化感悟
- - — 未涉及:未提及任何文化对比
- ### 语法情况提取
- 从批改记录的"语法小诊断"部分,记录:
- - 是否存在明显语法错误
- - 错误类型(主谓一致 / 时态 / 冠词 / 其他)
- ---
- ## 第二步:汇总数据
- 将所有学生数据按等级分组汇总,形成统计表。
- **一旦汇总完成,报告中所有数字必须与汇总表严格一致,禁止前后矛盾。**
- ---
- # 输出格式
- ## 第一步输出
- 输出以下一句话,然后立即继续输出完整报告,不得停止:
- "正在逐个提取学生数据中,请稍候……"
- ## 第二步输出:完整报告
- 紧接上一句,输出以下完整报告内容:
- ---
- ## 英语写作 课堂学情分析报告
- **数据来源:** 批改记录 | **统计人数:** X 人
- ---
- ### 一、分层总览
- | 等级 | 人数 | 信息完整率均值 | 表达生动人数 | 文化触角人数 | 有语法问题人数 |
- |---|---|---|---|---|---|
- | Level A | X | XX% | X人(XX%) | X人(XX%) | X人(XX%) |
- | Level B | X | XX% | X人(XX%) | X人(XX%) | X人(XX%) |
- | Level C | X | XX% | X人(XX%) | X人(XX%) | X人(XX%) |
- ---
- ### 二、信息完整与准确性明细(A / B / C 合并)
- | 信息点 | 正确人数 | 正确率 |
- |---|---|---|
- | 画名 | X | XX% |
- | 画家 | X | XX% |
- | 绘画种类 | X | XX% |
- | 画面描述(颜色/内容) | X | XX% |
- | 个人感受 | X | XX% |
- [正确率最低项:<span style="color:red">⚠️ [信息点名称]正确率最低,仅 XX%,说明学生在该项普遍存在遗漏或错误。</span>]
- ---
- ### 三、表达与文化维度
- | 维度 | A 达成人数 | A 达成率 | B 达成人数 | B 达成率 | C 达成人数 | C 达成率 |
- |---|---|---|---|---|
- | 表达生动(含比喻/形容词/个人联想) | X | XX% | X | XX% | X | XX% |
- | 文化小触角(含中西艺术对比) | X | XX% | X | XX% | X | XX% |
- [若文化触角整体达成率低于50%:<span style="color:red">⚠️ 文化对比意识普遍薄弱,全班达成率仅 XX%。</span>]
- ---
- ### 四、语法问题汇总
- | 语法问题类型 | A 出现人次 | B 出现人次 | C 出现人次 |
- |---|---|---|
- | 主谓一致错误 | X | X | X |
- | 时态错误 | X | X | X |
- | 冠词错误 | X | X | X |
- | 其他 | X | X | X |
- *若无明显语法问题,写:"本次无明显高频语法问题。✅"*
- ---
- ### 五、亮点摘录
- **表达生动的例句:**
- [列出2–3句来自学生作文的优秀表达原文,注明等级和画作名称。]
- **文化感悟的例句:**
- [列出1–2句来自学生作文的文化对比原文,注明等级和画作名称。若无,写"本次暂无。"]
- ---
- ### 六、总结
- **整体:** [1句,简述全班整体写作完成情况。]
- **突出:** [1句,指出全班表现最好的维度,例如信息完整率高或表达生动人数较多。]
- **关注:** <span style="color:red">[1句,指出最薄弱的维度,例如文化触角普遍缺失或某信息点遗漏率高。]</span>
- **跟进:**
- - <span style="color:red">无效提交学生:[姓名列表],AI未能识别其提交内容,建议教师查看原图并确认是否需要重新上传。</span>
- - <span style="color:red">写作内容需关注的学生(有效提交中):[姓名及原因,例如信息缺失3项以上、存在多处语法问题等];若无,写"有效提交学生中暂无需特别跟进。"</span>
- *若全员有效提交且表现均衡,写:"本次全员提交有效内容,整体表现均衡,暂无需特别跟进。"*
- ---
- # 注意事项
- - 所有数字来源于结构化提取,输出前核对一致性,禁止前后矛盾。
- - 对需要教师重点关注的内容使用 <span style="color:red"> 内容 </span> 高亮。
- - 禁止输出"如需进一步生成"等对话式内容。
- - 不输出教学建议或干预措施。
- - 若某等级无学生数据,对应列填"—",不单独说明。
- #INPUT#
- 课程数据:
- - 课程名称:${props.courseDetail.title}
- - 课程学科:${props.courseDetail.name}
- - 需要提交人数:${props.showData.workArray.length + props.showData.unsubmittedStudents.length}
- - 已提交人数:${props.showData.workArray.length}
- 当前页面答题数据(AI应用):【分析重点】
- - AI应用
- - 对话数据:${chatMsg}`
- }
- else if (props.workUrl == 'https://knowledge.cocorobo.cn/zh-CN/story-telling/0d04cef1-876a-41b4-9768-6547088bc162') {
- msg = `# 角色定位
- 你是K-12阶段的AI课堂分析助手,负责基于学生词句训练对话记录生成课堂学情分析报告。
- 本次分析的环节为:学生与AI就画作内容进行词句问答训练,分为 Level A、Level B、Level C 三个等级。
- ---
- # 重要:数据解读规则(必须在生成报告前完成)
- 在输出任何报告内容之前,必须先完成以下两步结构化提取。
- 所有报告数字必须来源于此,禁止前后矛盾。
- ---
- ## 第一步:逐学生提取数据
- (此步骤为内部处理步骤,不输出提取结果。)
- ### 等级识别
- 从对话记录中的 sender 字段识别等级:
- - sender 含"Level A" → Level A
- - sender 含"Level B" → Level B
- - sender 含"Level C" → Level C
- ### 完成状态判断
- - **完整完成**:所有句子/问题均有学生回应记录
- - **部分完成**:至少一条学生回应,但未完成全部
- - **未完成**:对话记录中仅有 AI 开场消息,无任何学生回应内容
- ### Level A 提取项目
- **主题覆盖性:** 检查学生是否主动提问了以下 6 个主题:
- ① name ② artist ③ kind ④ scene ⑤ colours ⑥ why
- - ✅ 已提问 / — 未提问
- **问题准确性(语法):** 识别以下错误类型并记录人次:
- - 疑问句结构错误 / 主谓一致错误 / 时态错误 / 其他
- **创新性:** 6 个主题之外的问题,记录原文。
- ### Level B 提取项目
- **主题覆盖性:**(同 Level A,6个主题)
- **问题准确性(语法):**(同 Level A)
- ### Level C 提取项目
- **流程完成性:** 逐句核对学生是否跟读了全部 6 个问句。
- - ✅ 跟读基本正确 / ⚠️ 跟读明显偏差 / — 未跟读
- **创新亮点:** 学生是否有自发延伸表达,记录原文。
- ---
- ## 第二步:汇总数据
- 将所有学生数据按等级分组汇总。
- **报告中所有数字必须与汇总表严格一致,禁止前后矛盾。**
- ---
- # 输出格式
- ## 第一步输出
- 输出以下一句话,然后立即继续输出完整报告,不得停止:
- "正在逐个提取学生数据中,请稍候……"
- ## 第二步输出:完整报告
- 紧接上一句,输出以下完整报告内容:
- ---
- ## 词句问答训练 课堂学情分析报告
- **数据来源:** 学生对话记录 | **统计人数:** X 人
- ---
- ### 一、分层总览
- | 等级 | 人数 | 完整完成 | 主题覆盖率均值 | 语法问题人数 | 创新提问/亮点 |
- |---|---|---|---|---|---|
- | Level A | X | X人(XX%) | XX% | X人 | X人 |
- | Level B | X | X人(XX%) | XX% | X人 | — |
- | Level C | X | X人(XX%) | — | — | X人 |
- [若有未完成学生:<span style="color:red">⚠️ 未完成学生:[姓名列表]</span>]
- ---
- ### 二、主题覆盖明细(Level A / B)
- | 主题 | A 覆盖率 | B 覆盖率 |
- |---|---|---|
- | name | XX% | XX% |
- | artist | XX% | XX% |
- | kind | XX% | XX% |
- | scene | XX% | XX% |
- | colours | XX% | XX% |
- | why | XX% | XX% |
- *若本次无某等级学生,对应列填"—"。*
- ---
- ### 三、语法问题(Level A / B)
- | 问题类型 | A 出现人次 | B 出现人次 |
- |---|---|---|
- | 疑问句结构错误 | X | X |
- | 主谓一致错误 | X | X |
- | 时态错误 | X | X |
- | 其他 | X | X |
- *若无语法问题,写:"本次无明显语法问题。✅"*
- ---
- ### 四、创新与亮点
- **Level A 创新提问:**
- [列出学生姓名及原文;若无,写"本次暂无。"]
- **Level C 自发延伸:**
- [列出学生姓名及原文;若无,写"本次暂无。"]
- ---
- ### 五、总结
- **整体:** [1句,简述全班完成情况。]
- **突出:** [1句,指出表现最好的维度或等级。]
- **关注:** <span style="color:red">[1句,指出覆盖率最低的主题或问题最集中的点。]</span>
- **跟进:** <span style="color:red">[列出需个别跟进的学生姓名及原因;若无,写"全员表现均衡,暂无需特别跟进。"]</span>
- ---
- # 注意事项
- - 所有数字来源于结构化提取,输出前核对一致性,禁止前后矛盾。
- - 对需要教师重点关注的内容使用 <span style="color:red"> 内容 </span> 高亮。
- - 若某等级无学生数据,相关行/列填"—",不单独输出该等级报告。
- - 禁止输出"如需进一步生成"等对话式内容。
- - 不输出教学建议或干预措施。
- #INPUT#
- 课程数据:
- - 课程名称:${props.courseDetail.title}
- - 课程学科:${props.courseDetail.name}
- - 需要提交人数:${props.showData.workArray.length + props.showData.unsubmittedStudents.length}
- - 已提交人数:${props.showData.workArray.length}
- 当前页面答题数据(AI应用):【分析重点】
- - AI应用
- - 对话数据:${chatMsg}`
- }
- // msg = `# 角色定位
- // 你是K-12阶段的AI课堂分析助手,负责基于学生词句训练对话记录生成课堂学情分析报告。
- // 本次分析的环节为:学生与AI就画作内容进行词句问答训练,分为 Level A、Level B、Level C 三个等级。
- // ---
- // # 重要:数据解读规则(必须在生成报告前完成)
- // 在输出任何报告内容之前,必须先完成以下两步结构化提取。
- // 所有报告数字必须来源于此,禁止前后矛盾。
- // ---
- // ## 第一步:逐学生提取数据
- // (此步骤为内部处理步骤,不输出提取结果。)
- // ### 等级识别
- // 从对话记录中的 sender 字段识别等级:
- // - sender 含"Level A" → Level A
- // - sender 含"Level B" → Level B
- // - sender 含"Level C" → Level C
- // ### 完成状态判断
- // - **完整完成**:所有句子/问题均有学生回应记录
- // - **部分完成**:至少一条学生回应,但未完成全部
- // - **未完成**:对话记录中仅有 AI 开场消息,无任何学生回应内容
- // ### Level A 提取项目
- // **主题覆盖性:** 检查学生是否主动提问了以下 6 个主题:
- // ① name ② artist ③ kind ④ scene ⑤ colours ⑥ why
- // - ✅ 已提问 / — 未提问
- // **问题准确性(语法):** 识别以下错误类型并记录人次:
- // - 疑问句结构错误 / 主谓一致错误 / 时态错误 / 其他
- // **创新性:** 6 个主题之外的问题,记录原文。
- // ### Level B 提取项目
- // **主题覆盖性:**(同 Level A,6个主题)
- // **问题准确性(语法):**(同 Level A)
- // ### Level C 提取项目
- // **流程完成性:** 逐句核对学生是否跟读了全部 6 个问句。
- // - ✅ 跟读基本正确 / ⚠️ 跟读明显偏差 / — 未跟读
- // **创新亮点:** 学生是否有自发延伸表达,记录原文。
- // ---
- // ## 第二步:汇总数据
- // 将所有学生数据按等级分组汇总。
- // **报告中所有数字必须与汇总表严格一致,禁止前后矛盾。**
- // ---
- // # 输出格式
- // ## 第一步输出
- // 输出以下一句话,然后立即继续输出完整报告,不得停止:
- // "正在逐个提取学生数据中,请稍候……"
- // ## 第二步输出:完整报告
- // 紧接上一句,输出以下完整报告内容:
- // ---
- // ## 词句问答训练 课堂学情分析报告
- // **数据来源:** 学生对话记录 | **统计人数:** X 人
- // ---
- // ### 一、分层总览
- // | 等级 | 人数 | 完整完成 | 主题覆盖率均值 | 语法问题人数 | 创新提问/亮点 |
- // |---|---|---|---|---|---|
- // | Level A | X | X人(XX%) | XX% | X人 | X人 |
- // | Level B | X | X人(XX%) | XX% | X人 | — |
- // | Level C | X | X人(XX%) | — | — | X人 |
- // [若有未完成学生:<span style="color:red">⚠️ 未完成学生:[姓名列表]</span>]
- // ---
- // ### 二、主题覆盖明细(Level A / B)
- // | 主题 | A 覆盖率 | B 覆盖率 |
- // |---|---|---|
- // | name | XX% | XX% |
- // | artist | XX% | XX% |
- // | kind | XX% | XX% |
- // | scene | XX% | XX% |
- // | colours | XX% | XX% |
- // | why | XX% | XX% |
- // *若本次无某等级学生,对应列填"—"。*
- // ---
- // ### 三、语法问题(Level A / B)
- // | 问题类型 | A 出现人次 | B 出现人次 |
- // |---|---|---|
- // | 疑问句结构错误 | X | X |
- // | 主谓一致错误 | X | X |
- // | 时态错误 | X | X |
- // | 其他 | X | X |
- // *若无语法问题,写:"本次无明显语法问题。✅"*
- // ---
- // ### 四、创新与亮点
- // **Level A 创新提问:**
- // [列出学生姓名及原文;若无,写"本次暂无。"]
- // **Level C 自发延伸:**
- // [列出学生姓名及原文;若无,写"本次暂无。"]
- // ---
- // ### 五、总结
- // **整体:** [1句,简述全班完成情况。]
- // **突出:** [1句,指出表现最好的维度或等级。]
- // **关注:** <span style="color:red">[1句,指出覆盖率最低的主题或问题最集中的点。]</span>
- // **跟进:** <span style="color:red">[列出需个别跟进的学生姓名及原因;若无,写"全员表现均衡,暂无需特别跟进。"]</span>
- // ---
- // # 注意事项
- // - 所有数字来源于结构化提取,输出前核对一致性,禁止前后矛盾。
- // - 对需要教师重点关注的内容使用 <span style="color:red"> 内容 </span> 高亮。
- // - 若某等级无学生数据,相关行/列填"—",不单独输出该等级报告。
- // - 禁止输出"如需进一步生成"等对话式内容。
- // - 不输出教学建议或干预措施。
- // #INPUT#
- // 课程数据:
- // - 课程名称:${props.courseDetail.title}
- // - 课程学科:${props.courseDetail.name}
- // - 需要提交人数:${props.showData.workArray.length + props.showData.unsubmittedStudents.length}
- // - 已提交人数:${props.showData.workArray.length}
- // 当前页面答题数据(AI应用):【分析重点】
- // - AI应用
- // - 对话数据:${chatMsg}`
- }
- console.log('workUrl', props.workUrl)
- console.log('ai应用提示词', msg)
- if (!currentAnalysis.value) {
- aiAnalysisData.value.push({
- pid: props.workId + (props.cid ? ',' + props.cid : ''),
- index: props.showData.workIndex,
- loading: true,
- json: { text: '', echartsData: '' },
- noEnd: true,
- update_at: '',
- create_at: '',
- })
- }
- else {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).loading = true
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json = { text: '', echartsData: '' }
- }
- chat_stream(msg, 'a7741704-ba56-40b7-a6b8-62a423ef9376', props.userId, lang.lang, (event) => {
- if (event.type === 'message') {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json.text = md.render(event.data)
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).loading = false
- }
- else if (event.type === 'messageEnd') {
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).json.text = md.render(event.data)
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).noEnd = false
- aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- }).update_at = new Date().toLocaleString('zh-CN', { year: 'numeric', month: '2-digit', day: '2-digit', hour: '2-digit', minute: '2-digit', second: '2-digit', hour12: false }).replace(/\//g, '-')
- saveAnalysis()
- }
- }, '', [], 'open-qwen-plus-latest').catch(err => {
- console.log('err', err)
- })
- }
- // 当前分析
- const currentAnalysis = computed(() => {
- const _result = aiAnalysisData.value.find((item: any) => {
- return item.pid === props.workId + (props.cid ? ',' + props.cid : '') && item.index === props.showData.workIndex
- })
- if (_result?.json?.echartsData) {
- _result.json.keyword = _result.json.echartsData?.series?.[0]?.data?.slice(0, 5).map((item: any) => item.name)
- }
- if (_result) {
- return _result
- }
- return null
- })
- // 保存分析
- const saveAnalysis = () => {
- if (!currentAnalysis.value) {
- return
- }
- const params = [{
- pid: props.workId + (props.cid ? ',' + props.cid : ''),
- idx: props.showData.workIndex,
- json: JSON.stringify(currentAnalysis.value.json),
- }]
- console.log(params)
- axios.post('https://pbl.cocorobo.cn/api/pbl/insert_pptAnalysis', params).then(res => {
- if (res == 1) {
- console.log('保存成功')
- }
- }).catch(err => {
- console.log('insert_pptAnalysis_err', err)
- })
- }
- // 点击边框
- const clickContent = (flag: boolean) => {
- if (flag && lookWorkDetail.value && workDetail.value?.type !== '45' && workDetail.value?.type !== '78') {
- if (props.roleType != 1 && isCastScreen.value) {
- return
- }
- lookWork('')
- }
- }
- // 监听 props.showData.workDetail.id 变化
- watch(
- () => props.showData?.workDetail,
- (newId, oldId) => {
- getAnalysis()
- },
- { immediate: true }
- )
- // 组件卸载时清理ECharts实例
- onUnmounted(() => {
- // 清除定时器
- if (resizeTimer) {
- clearTimeout(resizeTimer)
- resizeTimer = null
- }
- // 销毁ECharts实例
- if (myChart.value && !myChart.value.isDisposed()) {
- myChart.value.dispose()
- myChart.value = null
- }
- })
- </script>
- <style lang="scss" scoped>
- .choiceQuestionDetailDialog {
- background: none;
- position: relative;
- width: 100%;
- height: 100%;
- z-index: 1;
- .content {
- width: 100%;
- height: 100%;
- position: relative;
- background: #fff;
- box-sizing: border-box;
- padding: 40px;
- overflow: auto;
- .closeIcon {
- position: absolute;
- right: 20px;
- top: 20px;
- cursor: pointer;
- width: 20px;
- height: 20px;
- img {
- width: 100%;
- height: 100%;
- }
- }
- .c_t45 {
- width: 100%;
- min-height: 100%;
- display: flex;
- // align-items: center;
- flex-direction: column;
- height: auto;
- .c_t45_title {
- color: rgba(0, 0, 0, 0.9);
- font-weight: 600;
- font-size: 24px;
- line-height: 24px;
- position: relative;
- width: 100%;
- display: flex;
- flex-direction: column;
- // align-items: center;
- // justify-content: center;
- user-select: none;
- gap: .4rem;
- &>div {
- max-width: calc(100%);
- }
- &>span {
- position: absolute;
- top: 20px;
- cursor: pointer;
- &:nth-of-type(1) {
- left: 0;
- }
- &:nth-of-type(2) {
- right: 0;
- }
- }
- .c_t45_t_btn_noActive {
- color: #CCCCCC;
- }
- .c_t45_msg {
- display: flex;
- align-items: center;
- font-size: .9rem;
- font-weight: 400;
- gap: 1rem;
- &>span {
- text-decoration: underline;
- cursor: pointer;
- }
- }
- }
- .c_t45_img {
- max-width: 200px;
- max-height: 200px;
- object-fit: cover;
- margin-top: 20px;
- }
- .c_t45_type {
- font-weight: 400;
- font-size: 15px;
- line-height: 21px;
- letter-spacing: 0.5px;
- color: rgba(0, 0, 0, 1);
- opacity: 0.5;
- margin-top: 20px;
- }
- .c_t45_echarts {
- width: 100%;
- max-width: 100%;
- flex: 1;
- min-height: 400px;
- display: flex;
- align-items: center;
- box-sizing: border-box;
- &>div {
- width: 100%;
- height: 400px;
- }
- }
- .cq_changeBtn {
- display: flex;
- align-items: center;
- gap: 1.5rem;
- margin: 1rem auto;
- &>div {
- padding: .6rem;
- border-radius: .5rem;
- border: solid 2px #F6C82B;
- display: flex;
- justify-content: center;
- align-items: center;
- cursor: pointer;
- &>svg {
- fill: #F6C82D;
- width: 1rem;
- height: 1rem;
- }
- &.cq_cb_disabled {
- cursor: not-allowed !important;
- border-color: #FEF8E9 !important;
- }
- &.cq_cb_disabled>svg {
- fill: #A3A3A3 !important;
- }
- }
- &>span {
- font-weight: 500;
- }
- }
- }
- .c_t15 {
- width: 100%;
- min-height: 100%;
- display: flex;
- // align-items: center;
- flex-direction: column;
- height: auto;
- padding: 40px;
- .c_t15_title {
- color: rgba(0, 0, 0, 0.9);
- font-weight: 600;
- font-size: 24px;
- line-height: 24px;
- }
- .c_t15_msg {
- display: flex;
- align-items: center;
- font-size: .9rem;
- font-weight: 400;
- gap: 1rem;
- &>span {
- text-decoration: underline;
- cursor: pointer;
- }
- }
- .c_t15_type {
- font-weight: 400;
- font-size: 15px;
- line-height: 21px;
- letter-spacing: 0.5px;
- color: rgba(0, 0, 0, 1);
- opacity: 0.5;
- margin: 10px 0;
- }
- .c_t15_content {
- width: 100%;
- height: auto;
- display: grid;
- grid-template-columns: repeat(3, 1fr);
- gap: 20px;
- margin-top: 40px;
- .c_t15_c_item {
- width: 100%;
- height: auto;
- box-shadow: 2px 4px 20px 0px rgba(0, 0, 0, 0.2);
- box-sizing: border-box;
- border-radius: 12px;
- padding: 16px;
- background: rgba(255, 255, 255, 0.6);
- transition: 0.3s;
- cursor: pointer;
- overflow: hidden;
- &:hover {
- box-shadow: 4px 4px 14px 0px rgba(252, 207, 0, 0.5);
- background: rgba(255, 255, 255, 0.6);
- }
- .c_t15_c_i_top {
- display: flex;
- align-items: center;
- gap: 10px;
- width: 100%;
- overflow: hidden;
- &>span {
- min-width: 25px;
- height: 25px;
- display: flex;
- align-items: center;
- justify-content: center;
- background: rgba(252, 207, 0, 1);
- border-radius: 4px;
- color: rgba(255, 255, 255, 1);
- font-weight: bold;
- font-size: 14px;
- }
- &>div {
- color: rgba(0, 0, 0, 0.7);
- font-weight: 800;
- overflow: hidden;
- text-overflow: ellipsis;
- white-space: nowrap;
- }
- }
- .c_t15_c_i_bottom {
- margin-top: 15px;
- font-weight: 300;
- font-size: 14px;
- height: 40px;
- max-width: 100%;
- overflow: hidden;
- text-overflow: ellipsis;
- display: -webkit-box;
- -webkit-line-clamp: 2;
- -webkit-box-orient: vertical;
- }
- .c_t73_c_i_bottom {
- margin-top: 15px;
- font-weight: 300;
- font-size: 14px;
- // height: 40px;
- max-width: 100%;
- overflow: hidden;
- text-overflow: ellipsis;
- display: -webkit-box;
- -webkit-line-clamp: 2;
- -webkit-box-orient: vertical;
- img {
- width: 100%;
- height: 200px;
- object-fit: cover;
- }
- span {
- width: 100%;
- height: 200px;
- display: flex;
- align-items: center;
- justify-content: center;
- }
- }
- }
- }
- .c_t15_workDetail {
- width: 100%;
- height: auto;
- margin-top: 40px;
- box-shadow: 4px 4px 14px 0px rgba(252, 207, 0, 0.5);
- box-sizing: border-box;
- padding: 16px;
- border-radius: 12px;
- display: flex;
- flex-direction: column;
- .c_t15_wd_top {
- width: 100%;
- display: flex;
- align-items: center;
- gap: 15px;
- &>img {
- width: 25px;
- height: 25px;
- cursor: pointer;
- }
- &>span {
- display: block;
- width: 30px;
- height: 30px;
- display: flex;
- align-items: center;
- justify-content: center;
- background: rgba(252, 207, 0, 1);
- border-radius: 4px;
- color: rgba(255, 255, 255, 1);
- font-weight: bold;
- font-size: 16px;
- }
- &>div {
- color: rgba(0, 0, 0, 0.7);
- font-weight: 800;
- font-size: 18px;
- }
- }
- .c_t15_wd_content {
- width: 100%;
- margin-top: 20px;
- max-height: 100%;
- overflow: auto;
- flex-wrap: wrap;
- .c_t15_wd_c_imageList {
- width: 100%;
- gap: 20px;
- margin-top: 20px;
- &>img {
- width: 100px;
- height: auto;
- cursor: pointer;
- margin-right: 20px;
- object-fit: cover;
- }
- }
- }
- }
- .c_t79_workDetail {
- width: 100%;
- height: auto;
- margin-top: 40px;
- box-shadow: 4px 4px 14px 0px rgba(252, 207, 0, 0.5);
- box-sizing: border-box;
- padding: 16px;
- border-radius: 12px;
- display: flex;
- flex-direction: column;
- .c_t79_wd_top {
- width: 100%;
- display: flex;
- align-items: center;
- gap: 15px;
- &>img {
- width: 25px;
- height: 25px;
- cursor: pointer;
- }
- &>span {
- display: block;
- width: 30px;
- height: 30px;
- display: flex;
- align-items: center;
- justify-content: center;
- background: rgba(252, 207, 0, 1);
- border-radius: 4px;
- color: rgba(255, 255, 255, 1);
- font-weight: bold;
- font-size: 16px;
- }
- &>div {
- color: rgba(0, 0, 0, 0.7);
- font-weight: 800;
- font-size: 18px;
- }
- }
- .c_t79_wd_content {
- width: 100%;
- margin-top: 20px;
- max-height: 100%;
- overflow: auto;
- flex-wrap: wrap;
- display: flex;
- align-items: center;
- justify-content: center;
- &>img {
- max-width: 100%;
- height: 300px;
- object-fit: cover;
- }
- }
- }
- .cq_changeBtn {
- display: flex;
- align-items: center;
- gap: 1.5rem;
- margin: 1rem auto;
- &>div {
- padding: .6rem;
- border-radius: .5rem;
- border: solid 2px #F6C82B;
- display: flex;
- justify-content: center;
- align-items: center;
- cursor: pointer;
- &>svg {
- fill: #F6C82D;
- width: 1rem;
- height: 1rem;
- }
- &.cq_cb_disabled {
- cursor: not-allowed !important;
- border-color: #FEF8E9 !important;
- }
- &.cq_cb_disabled>svg {
- fill: #A3A3A3 !important;
- }
- }
- &>span {
- font-weight: 500;
- }
- }
- }
- .c_t72 {
- width: 100%;
- min-height: 100%;
- display: flex;
- // align-items: center;
- flex-direction: column;
- height: auto;
- padding: 40px;
- .c_t72_title {
- color: rgba(0, 0, 0, 0.9);
- font-weight: 600;
- font-size: 24px;
- line-height: 24px;
- }
- .c_t72_type {
- font-weight: 400;
- font-size: 15px;
- line-height: 21px;
- letter-spacing: 0.5px;
- color: rgba(0, 0, 0, 1);
- opacity: 0.5;
- margin: 10px 0;
- }
- .c_t72_msg {
- display: flex;
- align-items: center;
- font-size: .9rem;
- font-weight: 400;
- gap: 1rem;
- &>span {
- text-decoration: underline;
- cursor: pointer;
- }
- }
- .c_t72_content {
- width: 100%;
- height: auto;
- display: grid;
- grid-template-columns: repeat(4, 1fr);
- gap: 20px;
- margin-top: 40px;
- .c_t72_c_item {
- width: 100%;
- height: auto;
- box-shadow: 2px 4px 20px 0px rgba(0, 0, 0, 0.2);
- box-sizing: border-box;
- border-radius: 12px;
- padding: 16px;
- background: rgba(255, 255, 255, 0.6);
- transition: 0.3s;
- cursor: pointer;
- overflow: hidden;
- &:hover {
- box-shadow: 4px 4px 14px 0px rgba(252, 207, 0, 0.5);
- background: rgba(255, 255, 255, 0.6);
- }
- .c_t72_c_i_top {
- display: flex;
- align-items: center;
- gap: 10px;
- width: 100%;
- overflow: hidden;
- &>span {
- min-width: 25px;
- height: 25px;
- display: flex;
- align-items: center;
- justify-content: center;
- background: rgba(252, 207, 0, 1);
- border-radius: 4px;
- color: rgba(255, 255, 255, 1);
- font-weight: bold;
- font-size: 14px;
- }
- &>div {
- color: rgba(0, 0, 0, 0.7);
- font-weight: 800;
- }
- }
- .c_t72_c_i_bottom {
- margin-top: 15px;
- font-weight: 300;
- font-size: 14px;
- // height: 40px;
- max-width: 100%;
- overflow: hidden;
- text-overflow: ellipsis;
- display: -webkit-box;
- -webkit-line-clamp: 2;
- -webkit-box-orient: vertical;
- img {
- width: 100%;
- max-height: 200px;
- object-fit: cover;
- }
- }
- }
- }
- .c_t72_workDetail {
- width: 100%;
- height: auto;
- margin-top: 40px;
- box-shadow: 4px 4px 14px 0px rgba(252, 207, 0, 0.5);
- box-sizing: border-box;
- padding: 16px;
- border-radius: 12px;
- display: flex;
- flex-direction: column;
- .c_t72_wd_top {
- width: 100%;
- display: flex;
- align-items: center;
- gap: 15px;
- &>img {
- width: 25px;
- height: 25px;
- cursor: pointer;
- }
- &>span {
- display: block;
- width: 30px;
- height: 30px;
- display: flex;
- align-items: center;
- justify-content: center;
- background: rgba(252, 207, 0, 1);
- border-radius: 4px;
- color: rgba(255, 255, 255, 1);
- font-weight: bold;
- font-size: 16px;
- }
- &>div {
- color: rgba(0, 0, 0, 0.7);
- font-weight: 800;
- font-size: 18px;
- }
- }
- .c_t72_wd_content {
- width: 100%;
- margin-top: 20px;
- max-height: 100%;
- overflow: auto;
- flex-wrap: wrap;
- display: flex;
- align-items: center;
- justify-content: center;
- .na_m_item {
- width: 100%;
- height: auto;
- margin: 10px 0;
- }
- .na_m_i_name {
- width: fit-content;
- max-width: 100%;
- height: auto;
- box-sizing: border-box;
- padding: 10px 10px;
- display: flex;
- align-items: center;
- border-radius: 10px 10px 0 0;
- background-color: #9747ff;
- color: #fff;
- text-overflow: ellipsis;
- overflow: hidden;
- white-space: nowrap;
- }
- .aiName {
- background-color: #0560fc;
- }
- .na_m_i_content {
- padding: 10px;
- border: solid 1px #e7e7e7;
- box-shadow: 0 4px 20px 0 rgba(0, 0, 0, 0.1);
- border-radius: 0 0 12px 12px;
- background-color: #fff;
- :deep(img) {
- max-width: 100%;
- }
- }
- .messageNode {
- width: 100%;
- height: auto;
- box-sizing: border-box;
- padding: 10px 10px;
- border: 0.5px solid #e7e7e7;
- border-radius: 12px;
- gap: 10px;
- margin-top: 20px;
- }
- .messageNodeArea {
- width: 100%;
- height: auto;
- }
- }
- }
- }
- .c_t73 {
- width: 100%;
- min-height: 100%;
- display: flex;
- // align-items: center;
- flex-direction: column;
- height: auto;
- padding: 40px;
- .c_t73_title {
- color: rgba(0, 0, 0, 0.9);
- font-weight: 600;
- font-size: 24px;
- line-height: 24px;
- }
- .c_t73_type {
- font-weight: 400;
- font-size: 15px;
- line-height: 21px;
- letter-spacing: 0.5px;
- color: rgba(0, 0, 0, 1);
- opacity: 0.5;
- margin: 10px 0;
- }
- .c_t73_msg {
- display: flex;
- align-items: center;
- font-size: .9rem;
- font-weight: 400;
- gap: 1rem;
- &>span {
- text-decoration: underline;
- cursor: pointer;
- }
- }
- .c_t73_content {
- width: 100%;
- height: auto;
- display: grid;
- grid-template-columns: repeat(4, 1fr);
- gap: 20px;
- margin-top: 40px;
- .c_t73_c_item {
- width: 100%;
- height: auto;
- box-shadow: 2px 4px 20px 0px rgba(0, 0, 0, 0.2);
- box-sizing: border-box;
- border-radius: 12px;
- padding: 16px;
- background: rgba(255, 255, 255, 0.6);
- transition: 0.3s;
- cursor: pointer;
- overflow: hidden;
- &:hover {
- box-shadow: 4px 4px 14px 0px rgba(252, 207, 0, 0.5);
- background: rgba(255, 255, 255, 0.6);
- }
- .c_t73_c_i_top {
- display: flex;
- align-items: center;
- gap: 10px;
- width: 100%;
- overflow: hidden;
- &>span {
- min-width: 25px;
- height: 25px;
- display: flex;
- align-items: center;
- justify-content: center;
- background: rgba(252, 207, 0, 1);
- border-radius: 4px;
- color: rgba(255, 255, 255, 1);
- font-weight: bold;
- font-size: 14px;
- }
- &>div {
- color: rgba(0, 0, 0, 0.7);
- font-weight: 800;
- }
- }
- .c_t73_c_i_bottom {
- margin-top: 15px;
- font-weight: 300;
- font-size: 14px;
- // height: 40px;
- max-width: 100%;
- overflow: hidden;
- text-overflow: ellipsis;
- display: -webkit-box;
- -webkit-line-clamp: 2;
- -webkit-box-orient: vertical;
- img {
- width: 100%;
- max-height: 200px;
- object-fit: cover;
- }
- }
- }
- }
- .c_t73_workDetail {
- width: 100%;
- height: auto;
- margin-top: 40px;
- box-shadow: 4px 4px 14px 0px rgba(252, 207, 0, 0.5);
- box-sizing: border-box;
- padding: 16px;
- border-radius: 12px;
- display: flex;
- flex-direction: column;
- .c_t73_wd_top {
- width: 100%;
- display: flex;
- align-items: center;
- gap: 15px;
- &>img {
- width: 25px;
- height: 25px;
- cursor: pointer;
- }
- &>span {
- display: block;
- width: 30px;
- height: 30px;
- display: flex;
- align-items: center;
- justify-content: center;
- background: rgba(252, 207, 0, 1);
- border-radius: 4px;
- color: rgba(255, 255, 255, 1);
- font-weight: bold;
- font-size: 16px;
- }
- &>div {
- color: rgba(0, 0, 0, 0.7);
- font-weight: 800;
- font-size: 18px;
- }
- }
- .c_t73_wd_content {
- width: 100%;
- margin-top: 20px;
- max-height: 100%;
- overflow: auto;
- flex-wrap: wrap;
- display: flex;
- align-items: center;
- justify-content: center;
- &>img {
- max-width: 100%;
- object-fit: cover;
- }
- }
- }
- }
- }
- }
- .aiAnalysis {
- width: 100%;
- height: auto;
- display: flex;
- flex-direction: column;
- padding: 1rem;
- border: solid 1px #F6C82B;
- border-left-width: 4px;
- border-radius: 1rem;
- gap: 1rem;
- &>.ai_header {
- display: flex;
- align-items: center;
- justify-content: space-between;
- gap: 1rem;
- &>div {
- display: flex;
- align-items: center;
- gap: .5rem;
- &>svg {
- width: 1rem;
- height: 1rem;
- }
- }
- &>.ai_title {
- color: #F7CD49;
- font-weight: 500;
- &>svg {
- fill: #F7CD49;
- width: 1.2rem;
- height: 1.2rem;
- }
- }
- &>.ai_refresh {
- padding: .5rem 1rem;
- border-radius: .5rem;
- background: #F6C82B;
- display: flex;
- justify-content: center;
- align-items: center;
- cursor: pointer;
- color: #000;
- font-weight: bold;
- font-size: .8rem;
- gap: .5rem;
- &>svg {
- fill: #000;
- width: .8rem;
- height: .8rem;
- }
- &.disabled {
- cursor: not-allowed !important;
- background: #FEF8E9 !important;
- }
- }
- }
- &>.ai_content {
- font-size: 1rem;
- font-weight: 500;
- :deep(table) {
- border-collapse: collapse;
- width: 100%;
- margin: 0.5rem 0;
- th,
- td {
- border: 1px solid #ddd;
- padding: 0.5rem;
- text-align: left;
- }
- th {
- background: #f5f5f5;
- }
- }
- }
- &>.ai_echartsData {
- display: flex;
- flex-wrap: wrap;
- gap: .5rem;
- &>span {
- padding: .2rem .5rem;
- border-radius: .25rem;
- background: #E6F4FF;
- display: flex;
- justify-content: center;
- align-items: center;
- color: #141517;
- font-size: .75rem;
- }
- &>.title {
- font-weight: 600;
- }
- &>.btn {
- font-size: .9rem;
- text-decoration: underline;
- color: #F6C82B;
- cursor: pointer;
- }
- }
- &>.ai_updateTime {
- font-size: .8rem;
- font-weight: 500;
- }
- }
- .nextAndUpBtn {
- width: 100%;
- height: auto;
- display: grid;
- grid-template-columns: 1fr 1fr;
- margin-top: 20px;
- gap: 15px;
- &>span {
- display: flex;
- justify-content: center;
- align-items: center;
- width: 100%;
- height: 40px;
- border-radius: 5px;
- font-size: 14px;
- font-weight: 500;
- color: #fff;
- background: #f6c82b;
- cursor: pointer;
- }
- &>.no_active {
- background: #cccccc !important;
- color: #999999 !important;
- cursor: not-allowed !important;
- pointer-events: none !important;
- }
- }
- .c_title{
- display: flex;
- &>span {
- flex: 1;
- word-break: break-all;
- }
- }
- .switch_btn{
- display: flex;
- align-items: center;
- gap: .5rem;
- &>.switch{
- display: flex;
- align-items: center;
- gap: .5rem;
- font-size: .8rem;
- color: #141517;
- +.switch{
- margin-left: .5rem;
- }
- }
- }
- .bottom_btn{
- display: flex;
- align-items: center;
- gap: 5px;
- font-weight: 300;
- font-size: 14px;
- color: rgba(0, 0, 0, 0.7);
- .bottom_like{
- margin-left: auto;
- cursor: pointer;
- display: flex;
- align-items: center;
- gap: 5px;
- color: rgba(0, 0, 0, 0.7);
-
- &.active{
- color: rgba(252, 207, 0, 1);
- }
- }
- }
- .cast_sreen_btn{
- display: flex;
- align-items: center;
- gap: 5px;
- font-weight: 300;
- font-size: 14px;
- color: rgba(0, 0, 0, 0.7);
- cursor: pointer;
- margin-left: auto;
- border-radius: 5px;
- border: solid 1px rgba(252, 207, 0, .7);
- padding: .5rem 0.6rem;
- min-width: 65px;
- justify-content: center;
- }
- </style>
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