477 lines
16 KiB
Vue
477 lines
16 KiB
Vue
<template>
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<div class="map-container">
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<div id="talentMapChart" class="chart" v-if="!loading"></div>
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<div class="num-empty" v-else>加载中...</div>
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<!-- 右侧排行榜 -->
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<div class="map-rank-panel">
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<div class="panel-title">🏆 开源人才数量排行 TOP 5</div>
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<div class="rank-list">
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<div class="rank-item" v-for="(item, index) in topRegions" :key="index">
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<span :class="['rank-num', 'rank-' + (index + 1)]">{{ index + 1 }}</span>
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<span class="rank-name">{{ item.name }}</span>
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<span class="rank-score">{{ item.score }} 万人</span>
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</div>
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</div>
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</div>
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</div>
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</template>
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<script setup lang="ts">
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import {onMounted, ref, onBeforeUnmount, computed} from 'vue';
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// 初始化中国开源人才密度地图
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import * as echarts from "echarts";
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import geoJson from '../json/china.json';
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import { talentMapDataPage2 } from '@/api/jyh/situation';
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const talentMapChart = ref()
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// 定义数据结构
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interface TalentMapItem {
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name: string;
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density: number;
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total: number;
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}
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// 中国开源人才密度地图数据
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const talentMapData = ref<any[]>([]);
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const loading = ref(true);
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// 从API获取数据
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const fetchDataFromApi = async () => {
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try {
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loading.value = true;
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const response = await talentMapDataPage2();
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const businessData = response.data; // Axios响应格式，业务数据在response.data中
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if (businessData?.code === 200 && businessData.data) {
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// 转换API返回的数据格式为图表所需格式
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talentMapData.value = businessData.data.map((item: TalentMapItem) => {
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// 查找省份坐标，如果找不到则使用默认坐标
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let coordinates = [104.5, 37.5]; // 默认为中国中心坐标
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// 匹配省份坐标
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const provinceCoords: Record<string, [number, number]> = {
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'北京市': [116.4074, 39.9042],
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'上海市': [121.4737, 31.2304],
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'浙江省': [120.1551, 30.2794],
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'广东省': [113.2644, 23.1291],
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'台湾省': [121.5090, 25.0443],
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'四川省': [104.0657, 30.6595],
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'江苏省': [118.7780, 32.0472],
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'湖北省': [114.3053, 30.5928],
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'福建省': [119.3062, 26.0747],
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'陕西省': [108.9480, 34.2632],
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'重庆市': [106.5049, 29.5332],
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'山东省': [120.3331, 36.0670],
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'湖南省': [112.9822, 28.1944],
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'安徽省': [117.2830, 31.8611],
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'辽宁省': [123.4321, 41.8007],
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'云南省': [102.7123, 25.0406],
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'天津市': [117.1901, 39.1258],
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'河南省': [113.6654, 34.7579],
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'吉林省': [125.3245, 43.8171],
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'江西省': [115.8581, 28.6820],
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'广西壮族自治区': [108.3200, 22.8241],
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'黑龙江省': [126.5349, 45.8038],
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'澳门特别行政区': [113.5490, 22.1987],
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'河北省': [114.5024, 38.0454],
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'山西省': [112.5489, 37.8570],
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'贵州省': [106.7135, 26.5783],
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'内蒙古自治区': [111.6708, 40.8183],
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'香港特别行政区': [114.1095, 22.3964],
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'新疆维吾尔自治区': [87.6168, 43.7928],
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'甘肃省': [103.8235, 36.0580],
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'海南省': [110.3312, 20.0319],
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'宁夏回族自治区': [106.2782, 38.4664],
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'西藏自治区': [91.1175, 29.6469],
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'青海省': [101.7782, 36.6172]
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};
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const coord = provinceCoords[item.name] || coordinates;
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// 返回格式：[经度, 纬度, 密度, 总量]
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return {
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name: item.name,
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value: [coord[0], coord[1], item.density, item.total]
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};
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});
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} else {
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console.error('获取人才地图数据失败:', businessData?.msg || '未知错误');
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// 设置默认数据
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talentMapData.value = [
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{ name: '北京市', value: [116.4074, 39.9042, 141.15, 231.47] },
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{ name: '上海市', value: [121.4737, 31.2304, 269.83, 169.99] },
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{ name: '浙江省', value: [120.1551, 30.2794, 8.94, 90.98] },
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{ name: '广东省', value: [113.2644, 23.1291, 7.5, 149.76] },
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{ name: '台湾省', value: [121.5090, 25.0443, 32.75, 117.88] },
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{ name: '四川省', value: [104.0657, 30.6595, 1.01, 48.7] },
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{ name: '江苏省', value: [118.7780, 32.0472, 5.25, 56.28] },
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{ name: '湖北省', value: [114.3053, 30.5928, 1.84, 34.09] },
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{ name: '福建省', value: [119.3062, 26.0747, 1.39, 16.79] },
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{ name: '陕西省', value: [108.9480, 34.2632, 1.04, 21.38] },
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{ name: '重庆市', value: [106.5049, 29.5332, 1.61, 13.24] },
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{ name: '山东省', value: [120.3331, 36.0670, 1.02, 16.02] },
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{ name: '湖南省', value: [112.9822, 28.1944, 0.68, 14.25] },
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{ name: '安徽省', value: [117.2830, 31.8611, 0.93, 12.92] },
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{ name: '辽宁省', value: [123.4321, 41.8007, 0.77, 11.37] },
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{ name: '云南省', value: [102.7123, 25.0406, 0.1, 3.68] },
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{ name: '天津市', value: [117.1901, 39.1258, 7.79, 9.34] },
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{ name: '河南省', value: [113.6654, 34.7579, 0.55, 9.07] },
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{ name: '吉林省', value: [125.3245, 43.8171, 0.15, 2.7] },
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{ name: '江西省', value: [115.8581, 28.6820, 0.25, 4.17] },
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{ name: '广西壮族自治区', value: [108.3200, 22.8241, 0.14, 3.15] },
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{ name: '黑龙江省', value: [126.5349, 45.8038, 0.11, 5.13] },
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{ name: '澳门特别行政区', value: [113.5490, 22.1987, 737.5, 2.36] },
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{ name: '河北省', value: [114.5024, 38.0454, 0.26, 4.74] },
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{ name: '山西省', value: [112.5489, 37.8570, 0.25, 3.78] },
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{ name: '贵州省', value: [106.7135, 26.5783, 0.11, 1.93] },
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{ name: '内蒙古自治区', value: [111.6708, 40.8183, 0.01, 0.96] },
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{ name: '香港特别行政区', value: [114.1095, 22.3964, 1797.7, 197.75] },
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{ name: '新疆维吾尔自治区', value: [87.6168, 43.7928, 0.01, 0.77] },
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{ name: '甘肃省', value: [103.8235, 36.0580, 0.04, 1.46] },
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{ name: '海南省', value: [110.3312, 20.0319, 0.36, 1.25] },
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{ name: '宁夏回族自治区', value: [106.2782, 38.4664, 0.05, 0.27] },
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{ name: '西藏自治区', value: [91.1175, 29.6469, 0.01, 0.14] },
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{ name: '青海省', value: [101.7782, 36.6172, 0.01, 0.18] }
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];
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}
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} catch (error) {
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console.error('获取人才地图数据异常:', error);
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// 设置默认数据
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talentMapData.value = [
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{ name: '北京市', value: [116.4074, 39.9042, 141.15, 231.47] },
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{ name: '上海市', value: [121.4737, 31.2304, 269.83, 169.99] },
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{ name: '浙江省', value: [120.1551, 30.2794, 8.94, 90.98] },
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{ name: '广东省', value: [113.2644, 23.1291, 7.5, 149.76] },
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{ name: '台湾省', value: [121.5090, 25.0443, 32.75, 117.88] },
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{ name: '四川省', value: [104.0657, 30.6595, 1.01, 48.7] },
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{ name: '江苏省', value: [118.7780, 32.0472, 5.25, 56.28] },
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{ name: '湖北省', value: [114.3053, 30.5928, 1.84, 34.09] },
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{ name: '福建省', value: [119.3062, 26.0747, 1.39, 16.79] },
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{ name: '陕西省', value: [108.9480, 34.2632, 1.04, 21.38] },
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{ name: '重庆市', value: [106.5049, 29.5332, 1.61, 13.24] },
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{ name: '山东省', value: [120.3331, 36.0670, 1.02, 16.02] },
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{ name: '湖南省', value: [112.9822, 28.1944, 0.68, 14.25] },
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{ name: '安徽省', value: [117.2830, 31.8611, 0.93, 12.92] },
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{ name: '辽宁省', value: [123.4321, 41.8007, 0.77, 11.37] },
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{ name: '云南省', value: [102.7123, 25.0406, 0.1, 3.68] },
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{ name: '天津市', value: [117.1901, 39.1258, 7.79, 9.34] },
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{ name: '河南省', value: [113.6654, 34.7579, 0.55, 9.07] },
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{ name: '吉林省', value: [125.3245, 43.8171, 0.15, 2.7] },
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{ name: '江西省', value: [115.8581, 28.6820, 0.25, 4.17] },
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{ name: '广西壮族自治区', value: [108.3200, 22.8241, 0.14, 3.15] },
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{ name: '黑龙江省', value: [126.5349, 45.8038, 0.11, 5.13] },
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{ name: '澳门特别行政区', value: [113.5490, 22.1987, 737.5, 2.36] },
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{ name: '河北省', value: [114.5024, 38.0454, 0.26, 4.74] },
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{ name: '山西省', value: [112.5489, 37.8570, 0.25, 3.78] },
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{ name: '贵州省', value: [106.7135, 26.5783, 0.11, 1.93] },
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{ name: '内蒙古自治区', value: [111.6708, 40.8183, 0.01, 0.96] },
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{ name: '香港特别行政区', value: [114.1095, 22.3964, 1797.7, 197.75] },
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{ name: '新疆维吾尔自治区', value: [87.6168, 43.7928, 0.01, 0.77] },
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{ name: '甘肃省', value: [103.8235, 36.0580, 0.04, 1.46] },
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{ name: '海南省', value: [110.3312, 20.0319, 0.36, 1.25] },
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{ name: '宁夏回族自治区', value: [106.2782, 38.4664, 0.05, 0.27] },
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{ name: '西藏自治区', value: [91.1175, 29.6469, 0.01, 0.14] },
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{ name: '青海省', value: [101.7782, 36.6172, 0.01, 0.18] }
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];
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} finally {
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loading.value = false;
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}
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};
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// 计算 TOP 5 地区
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const topRegions = computed(() => {
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const sorted = [...talentMapData.value]
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.map(item => ({
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name: item.name,
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score: item.value[3],
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density: item.value[2]
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}))
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.sort((a, b) => b.score - a.score);
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return sorted.slice(0, 5);
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});
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// 组件挂载时获取数据
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onMounted(() => {
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fetchDataFromApi();
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// 数据加载完成后初始化图表
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setTimeout(() => {
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initTalentMapChart()
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}, 100);
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});
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const initTalentMapChart = () => {
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const el = document.getElementById('talentMapChart');
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if (!el) return;
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if (talentMapChart.value) {
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talentMapChart.value.dispose();
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}
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const myChart = echarts.init(el);
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talentMapChart.value = myChart;
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// --- 修改后的加载逻辑：直接获取 JSON ---
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// 这里可以换成你本地项目的路径，例如：'/maps/china.json'
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const MAP_JSON_URL = 'https://geo.datav.aliyun.com/areas_v3/bound/100000_full.json';
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// 1. 注册地图数据
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echarts.registerMap('china', geoJson);
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// 2. 调用渲染函数
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renderMap();
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// 渲染地图的函数 (配置保持原有的科技感风格)
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function renderMap() {
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myChart.setOption({
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tooltip: {
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trigger: 'item',
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backgroundColor: 'rgba(17, 54, 122, 0.95)',
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borderColor: '#00A0FF',
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borderWidth: 1,
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borderRadius: 8,
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padding: 16,
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textStyle: { color: '#6dd0e3', fontSize: 14 },
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formatter: (params: any) => {
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if (params.seriesType === 'scatter') {
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const data = params.data.value;
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const density = data[2];
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const total = data[3];
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// 内部辅助函数获取等级
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const getLevel = (d: number) => {
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if(d > 500) return '人才极高密度区';
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if(d > 100) return '人才高密度区';
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return '人才稳步增长区';
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};
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return `
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<div style="line-height: 2;">
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<div style="font-weight: bold; color: #00F2FF; font-size: 16px; margin-bottom: 10px;">${params.name}</div>
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<div><span style="color: #6dd0e3;">人才密度：</span><span style="color: #00C0FF; font-weight: 700;">${density}</span> 人/km²</div>
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<div><span style="color: #6dd0e3;">人才总量：</span><span style="color: #00C0FF; font-weight: 700;">${total}</span> 万人</div>
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<div style="margin-top: 8px; padding: 4px 10px; background: rgba(0, 242, 255, 0.2); border-radius: 6px; color: #00F2FF; font-size: 12px;">${getLevel(density)}</div>
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</div>
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`;
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}
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return '';
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}
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},
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visualMap: {
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show: false,
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min: 0,
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max: 500,
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inRange: {
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color: ['#00A0FF', '#0063D0', '#004190'],
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symbolSize: [10, 60]
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}
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},
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geo: {
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map: 'china',
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roam: true,
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scaleLimit: { min: 0.8, max: 4 },
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zoom: 2.6, // 调整为 standard zoom
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center: [104.5, 37.5],
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label: {
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show: true,
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fontSize: 10,
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color: '#CEF4FD'
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},
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itemStyle: {
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areaColor: 'rgba(0, 30, 80, 0.6)',
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borderColor: 'rgba(0, 160, 255, 0.5)',
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borderWidth: 1.5,
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shadowBlur: 10,
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shadowColor: 'rgba(0, 160, 255, 0.3)'
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},
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emphasis: {
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itemStyle: {
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areaColor: 'rgba(0, 50, 120, 0.8)',
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borderColor: '#00C0FF'
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}
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}
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},
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series: [
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{
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name: '开源人才密度',
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type: 'scatter',
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coordinateSystem: 'geo',
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data: talentMapData.value,
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symbolSize: (val: any) => Math.sqrt(val[2]) * 2 + 8,
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itemStyle: {
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color: (params: any) => {
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const density = params.value[2];
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if (density >= 500) return '#FF4900';
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if (density >= 100) return '#FFAB00';
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return '#00C0FF';
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},
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shadowBlur: 20,
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shadowColor: 'rgba(0, 242, 255, 0.6)'
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}
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}
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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 lang="scss" scoped>
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.num-empty {
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width: 100%;
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height: 100%;
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display: flex;
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align-items: center;
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justify-content: center;
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font-size: 14px;
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color: #999;
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}
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.map-container {
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display: flex;
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gap: 2rem;
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align-items: stretch;
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position: relative;
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min-height: 600px;
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}
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.map-container .chart {
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flex: 1;
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min-height: 600px;
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background: linear-gradient(135deg,
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rgba(0, 20, 60, 0.4) 0%,
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rgba(0, 40, 100, 0.3) 100%);
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border-radius: 1rem;
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border: 2px solid rgba(0, 192, 255, 0.3);
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box-shadow: 0 8px 24px rgba(0, 192, 255, 0.2);
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padding: 1rem;
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}
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.map-rank-panel {
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width: 300px;
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border-radius: 1rem;
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border: 2px solid rgba(0, 192, 255, 0.3);
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padding: 1.5rem;
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box-shadow: 0 8px 32px rgba(0, 192, 255, 0.2);
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backdrop-filter: blur(10px);
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-webkit-backdrop-filter: blur(10px);
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display: flex;
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flex-direction: column;
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gap: 1rem;
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}
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.panel-title {
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font-size: 1.2rem;
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font-weight: 700;
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color: black;
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text-align: center;
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padding-bottom: 1rem;
|
||
margin-bottom: 0.5rem;
|
||
border-bottom: 2px solid rgba(0, 242, 255, 0.3);
|
||
}
|
||
|
||
.rank-list {
|
||
display: flex;
|
||
flex-direction: column;
|
||
gap: 0.75rem;
|
||
max-height: 400px;
|
||
overflow-y: auto;
|
||
padding-right: 5px;
|
||
}
|
||
|
||
.rank-item {
|
||
display: flex;
|
||
align-items: center;
|
||
gap: 0.75rem;
|
||
padding: 0.85rem 1rem;
|
||
background: rgba(0, 192, 255, 0.08);
|
||
border-radius: 0.75rem;
|
||
border: 1px solid rgba(0, 192, 255, 0.2);
|
||
border-left: 3px solid #00A0FF;
|
||
transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1);
|
||
position: relative;
|
||
overflow: hidden;
|
||
margin-bottom: 0.75rem;
|
||
}
|
||
|
||
.rank-item::before {
|
||
content: '';
|
||
position: absolute;
|
||
top: 0;
|
||
left: -100%;
|
||
width: 100%;
|
||
height: 100%;
|
||
background: linear-gradient(90deg, transparent, rgba(0, 242, 255, 0.15), transparent);
|
||
transition: left 0.5s;
|
||
}
|
||
|
||
.rank-item:hover::before {
|
||
left: 100%;
|
||
}
|
||
|
||
.rank-item:hover {
|
||
background: rgba(0, 192, 255, 0.2);
|
||
border-color: #00F2FF;
|
||
border-left-color: #00F2FF;
|
||
box-shadow: 0 6px 16px rgba(0, 242, 255, 0.3);
|
||
transform: translateX(5px) scale(1.02);
|
||
}
|
||
|
||
.rank-num {
|
||
width: 32px;
|
||
height: 32px;
|
||
border-radius: 50%;
|
||
display: flex;
|
||
align-items: center;
|
||
justify-content: center;
|
||
font-size: 14px;
|
||
font-weight: 700;
|
||
flex-shrink: 0;
|
||
font-family: 'DIN Alternate', 'Arial', sans-serif;
|
||
}
|
||
|
||
.rank-num.rank-1 {
|
||
background: linear-gradient(135deg, #FFD700, #FFA500);
|
||
color: #1a1a1a;
|
||
box-shadow: 0 4px 12px rgba(255, 215, 0, 0.6);
|
||
border: 2px solid rgba(255, 255, 255, 0.3);
|
||
}
|
||
|
||
.rank-num.rank-2 {
|
||
background: linear-gradient(135deg, #E8E8E8, #C0C0C0);
|
||
color: #1a1a1a;
|
||
box-shadow: 0 4px 12px rgba(192, 192, 192, 0.6);
|
||
border: 2px solid rgba(255, 255, 255, 0.3);
|
||
}
|
||
|
||
.rank-num.rank-3 {
|
||
background: linear-gradient(135deg, #CD7F32, #B8733C);
|
||
color: white;
|
||
box-shadow: 0 4px 12px rgba(205, 127, 50, 0.6);
|
||
border: 2px solid rgba(255, 255, 255, 0.3);
|
||
}
|
||
|
||
.rank-num.rank-4,
|
||
.rank-num.rank-5 {
|
||
background: rgba(0, 192, 255, 0.2);
|
||
color: #00C0FF;
|
||
font-weight: bold;
|
||
border: 2px solid rgba(0, 192, 255, 0.4);
|
||
}
|
||
|
||
.rank-name {
|
||
flex: 1;
|
||
font-size: 14px;
|
||
font-weight: 600;
|
||
color: #000000;
|
||
}
|
||
|
||
.rank-score {
|
||
font-size: 14px;
|
||
font-weight: 700;
|
||
color: #00F2FF;
|
||
font-family: 'DIN Alternate', 'Arial', sans-serif;
|
||
text-shadow: 0 0 8px rgba(0, 242, 255, 0.5);
|
||
}
|
||
</style>
|