400 lines
13 KiB
Vue
400 lines
13 KiB
Vue
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<template>
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<!-- 设备管理-数据识别 -->
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<el-card class="data-recognition-container">
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<!-- 顶部过滤器 -->
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<el-card v-show="showSearch" class="search-card">
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<el-form :inline="true" ref="queryFormRef" :model="queryParams" label-width="auto">
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<el-form-item>
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<el-date-picker v-model="timeRange" type="datetimerange" range-separator=" ~ "
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start-placeholder="开始时间" end-placeholder="结束时间" value-format="yyyy-MM-dd HH:mm"
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format="yyyy-MM-dd HH:mm" style="width: 400px" @change="handleTimeRangeChange" />
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</el-form-item>
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<el-form-item>
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<el-button class="query-btn" @click="handleQuery">查询</el-button>
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<el-button class="reset-btn" @click="handleReset">重置</el-button>
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<el-button class="export-btn" @click="handleExport">导出</el-button>
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</el-form-item>
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</el-form>
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</el-card>
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<!-- 车辆数据统计 -->
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<el-card class="stats-card">
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<h3 class="stats-title">车辆数据</h3>
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<div class="stats-grid">
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<div class="stat-card" v-for="(stat, index) in statistics" :key="index">
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<div class="stat-value">{{ stat.value }}</div>
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<div class="stat-label">{{ stat.label }}</div>
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</div>
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</div>
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</el-card>
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<!-- 数据列表 -->
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<div class="table-container">
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<TableModel :formLabel="[]" :showOperation="false" :showRightTools="false" ref="dataRecognitionTableRef"
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:columnsList="columnsList" :request-api="wrappedAPI" :handleColWidth="250" :showSearch="false">
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<template slot="tableTitle">
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<h3>数据列表</h3>
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</template>
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<template slot="recognitionPhoto" slot-scope="{ data }">
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<el-image :src="data.recognitionPhoto || test_image" alt="识别照片" class="recognition-photo"
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fit="cover" :preview-src-list="previewImageList">
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<div slot="error" class="image-error">
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<i class="el-icon-picture"></i>
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</div>
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</el-image>
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</template>
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</TableModel>
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</div>
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</el-card>
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</template>
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<script>
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import TableModel from '@/components/TableModel2'
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import { columnsList } from './config'
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import { dataRecognitionListAPI, exportDataRecognitionAPI } from '@/api/device/data-recognition'
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import test_image from '@/assets/images/test_image.png'
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export default {
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name: 'DataRecognition',
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components: {
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TableModel,
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},
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data() {
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return {
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showSearch: true,
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columnsList,
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dataRecognitionListAPI,
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wrappedAPI: null,
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test_image,
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timeRange: null,
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statistics: [
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{ label: '车辆总数(辆)', value: '20000' },
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{ label: '油车数量(辆)', value: '15000' },
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{ label: '新能源数量(辆)', value: '5000' },
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{ label: '总车流量(PCU/h)', value: '20000' },
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{ label: '油车车流量(PCU/h)', value: '15000' },
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{ label: '新能源车流量(PCU/h)', value: '5000' },
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],
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queryParams: {
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pageNum: 1,
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pageSize: 10,
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startTime: '',
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endTime: '',
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},
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}
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},
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computed: {
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previewImageList() {
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// 从表格数据中获取所有图片URL
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if (this.$refs.dataRecognitionTableRef && this.$refs.dataRecognitionTableRef.tableList) {
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return this.$refs.dataRecognitionTableRef.tableList
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.map(item => item.recognitionPhoto || this.test_image)
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.filter(url => url)
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}
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return []
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},
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},
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created() {
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// 包装API函数以支持测试数据
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this.wrappedAPI = this.wrapAPIWithTestData(dataRecognitionListAPI)
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},
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methods: {
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/** 包装API函数，支持测试数据 */
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wrapAPIWithTestData(apiFunc) {
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return async (params) => {
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try {
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// 尝试调用真实API
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const res = await apiFunc(params)
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if (res.code === 200) {
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return res
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}
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} catch (error) {
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console.log('API调用失败，使用测试数据:', error)
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}
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// 使用测试数据
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const allTestData = this.getTestData()
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// 应用过滤条件
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let filteredData = allTestData
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if (params.startTime) {
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filteredData = filteredData.filter(item => {
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const itemTime = new Date(item.recognitionTime.replace(/\//g, '-'))
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const startTime = new Date(params.startTime.replace(' ', 'T'))
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return itemTime >= startTime
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})
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}
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if (params.endTime) {
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filteredData = filteredData.filter(item => {
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const itemTime = new Date(item.recognitionTime.replace(/\//g, '-'))
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const endTime = new Date(params.endTime.replace(' ', 'T'))
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return itemTime <= endTime
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})
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}
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// 分页处理
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const pageNum = params.pageNum || 1
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const pageSize = params.pageSize || 10
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const start = (pageNum - 1) * pageSize
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const end = start + pageSize
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return {
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code: 200,
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rows: filteredData.slice(start, end),
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total: filteredData.length,
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msg: 'success'
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}
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}
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},
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/** 获取测试数据 */
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getTestData() {
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const plateColors = ['蓝色', '黄色', '绿色', '白色']
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const vehicleTypes = ['油车', '新能源']
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const locations = ['合肥市蜀山区xxxxxx', '合肥市包河区xxxxxx', '合肥市庐阳区xxxxxx']
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const testData = []
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// 生成1000条测试数据
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for (let i = 0; i < 1000; i++) {
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const date = new Date()
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date.setDate(date.getDate() - Math.floor(i / 50))
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date.setHours(8 + (i % 12), (i % 60), 0, 0)
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const recognitionTime = this.formatDateTime(date)
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// 生成车牌号（皖A + 字母数字组合）
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const letters = 'ABCDEFGHJKLMNPQRSTUVWXYZ'
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const numbers = '0123456789'
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const plateLetter = letters[Math.floor(Math.random() * letters.length)]
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const plateNumbers = Array.from({ length: 4 }, () => numbers[Math.floor(Math.random() * numbers.length)]).join('')
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const licensePlate = `皖A${plateLetter}${plateNumbers}`
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testData.push({
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serialNo: i + 1,
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location: locations[i % locations.length],
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recognitionTime: recognitionTime,
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licensePlate: licensePlate,
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plateColor: plateColors[i % plateColors.length],
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vehicleType: vehicleTypes[i % vehicleTypes.length],
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recognitionPhoto: this.test_image,
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})
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}
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return testData
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},
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/** 格式化日期时间 */
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formatDateTime(date) {
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const year = date.getFullYear()
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const month = String(date.getMonth() + 1).padStart(2, '0')
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const day = String(date.getDate()).padStart(2, '0')
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const hours = String(date.getHours()).padStart(2, '0')
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const minutes = String(date.getMinutes()).padStart(2, '0')
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return `${year}/${month}/${day} ${hours}:${minutes}`
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},
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/** 查询操作 */
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handleQuery() {
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if (this.$refs.dataRecognitionTableRef) {
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// 合并查询参数
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Object.assign(this.$refs.dataRecognitionTableRef.queryParams, this.queryParams)
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this.$refs.dataRecognitionTableRef.queryParams.pageNum = 1
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this.$refs.dataRecognitionTableRef.getTableList()
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}
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},
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/** 重置操作 */
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handleReset() {
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this.queryParams.startTime = ''
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this.queryParams.endTime = ''
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this.timeRange = null
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if (this.$refs.dataRecognitionTableRef) {
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Object.assign(this.$refs.dataRecognitionTableRef.queryParams, this.queryParams)
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this.$refs.dataRecognitionTableRef.queryParams.pageNum = 1
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this.$refs.dataRecognitionTableRef.getTableList()
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}
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},
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/** 导出操作 */
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async handleExport() {
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try {
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const params = { ...this.queryParams }
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const res = await exportDataRecognitionAPI(params)
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if (res.code === 200) {
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// 处理文件下载
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const blob = new Blob([res], { type: 'application/vnd.ms-excel' })
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const url = window.URL.createObjectURL(blob)
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const link = document.createElement('a')
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link.href = url
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link.download = `数据识别数据_${new Date().getTime()}.xlsx`
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link.click()
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window.URL.revokeObjectURL(url)
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this.$message.success('导出成功')
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} else {
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this.$message.error(res.msg || '导出失败')
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}
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} catch (error) {
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console.error('导出失败:', error)
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this.$message.error('导出失败')
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}
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},
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/** 时间范围变化 */
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handleTimeRangeChange(value) {
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if (value && value.length === 2) {
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this.queryParams.startTime = value[0]
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this.queryParams.endTime = value[1]
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} else {
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this.queryParams.startTime = ''
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this.queryParams.endTime = ''
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}
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},
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},
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}
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</script>
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<style scoped lang="scss">
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.data-recognition-container {
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height: calc(100vh - 84px);
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overflow: hidden;
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background: linear-gradient(180deg, #f1f6ff 20%, #e5efff 100%);
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}
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.search-card {
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margin-bottom: 10px;
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::v-deep .el-form-item {
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margin-bottom: 10px;
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}
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.query-btn {
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width: 98px;
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height: 36px;
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background: #1f72ea;
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box-shadow: 0px 4px 8px 0px rgba(51, 135, 255, 0.5);
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border-radius: 4px;
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color: #fff;
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border: none;
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font-size: 14px;
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transition: all 0.3s;
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&:hover {
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background: #4a8bff;
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box-shadow: 0px 6px 12px 0px rgba(51, 135, 255, 0.6);
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}
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}
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.reset-btn {
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width: 98px;
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height: 36px;
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background: #ffffff;
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box-shadow: 0px 4px 8px 0px rgba(76, 76, 76, 0.2);
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border-radius: 4px;
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color: #333;
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border: none;
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font-size: 14px;
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transition: all 0.3s;
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&:hover {
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background: #f5f5f5;
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box-shadow: 0px 6px 12px 0px rgba(76, 76, 76, 0.3);
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color: #40a9ff;
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}
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}
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.export-btn {
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width: 98px;
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height: 36px;
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background: #1f72ea;
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box-shadow: 0px 4px 8px 0px rgba(51, 135, 255, 0.5);
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border-radius: 4px;
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color: #fff;
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border: none;
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font-size: 14px;
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transition: all 0.3s;
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&:hover {
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background: #4a8bff;
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box-shadow: 0px 6px 12px 0px rgba(51, 135, 255, 0.6);
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}
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}
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}
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.stats-card {
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margin-bottom: 10px;
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.stats-title {
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font-size: 16px;
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font-weight: 600;
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color: #333;
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margin: 0 0 16px 0;
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}
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.stats-grid {
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display: grid;
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grid-template-columns: repeat(6, 1fr);
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gap: 16px;
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.stat-card {
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background: linear-gradient(135deg, #1f72ea 0%, #4a8bff 100%);
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border-radius: 8px;
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padding: 24px;
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color: #fff;
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text-align: center;
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box-shadow: 0px 4px 12px 0px rgba(31, 114, 234, 0.3);
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transition: all 0.3s;
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&:hover {
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transform: translateY(-2px);
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box-shadow: 0px 6px 16px 0px rgba(31, 114, 234, 0.4);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.stat-value {
|
|||
|
|
font-size: 32px;
|
|||
|
|
font-weight: 700;
|
|||
|
|
margin-bottom: 8px;
|
|||
|
|
line-height: 1.2;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.stat-label {
|
|||
|
|
font-size: 14px;
|
|||
|
|
opacity: 0.9;
|
|||
|
|
line-height: 1.4;
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.table-container {
|
|||
|
|
height: calc(100vh - 420px);
|
|||
|
|
overflow: hidden;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
::v-deep .table-card {
|
|||
|
|
height: calc(100vh - 420px) !important;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.recognition-photo {
|
|||
|
|
width: 80px;
|
|||
|
|
height: 60px;
|
|||
|
|
border-radius: 4px;
|
|||
|
|
cursor: pointer;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.image-error {
|
|||
|
|
display: flex;
|
|||
|
|
align-items: center;
|
|||
|
|
justify-content: center;
|
|||
|
|
width: 80px;
|
|||
|
|
height: 60px;
|
|||
|
|
background: #f5f5f5;
|
|||
|
|
border-radius: 4px;
|
|||
|
|
color: #999;
|
|||
|
|
|
|||
|
|
i {
|
|||
|
|
font-size: 24px;
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
</style>
|