'commit'
This commit is contained in:
@@ -1,19 +1,79 @@
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from fastapi import APIRouter
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import pyecharts
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from pyecharts import options as opts
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from pyecharts.charts import Bar
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from pyecharts.faker import Faker
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from pyecharts.globals import CurrentConfig
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import json
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# 创建 APIRouter 实例
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router = APIRouter(prefix="/bigscreen", tags=["大屏展示"])
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# 定义根路由，返回 helloWorld
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@router.get("/")
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async def root():
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return {"message": "helloWorld"}
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# 配置使用自定义的 ECharts 路径
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CurrentConfig.ONLINE_HOST = "https://gcore.jsdelivr.net/npm/echarts@6.0.0/dist/"
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# 定义一个 helloWorld 路由
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@router.get("/hello")
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async def hello_world():
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return {"message": "helloWorld"}
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# 定义一个带有参数的路由
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@router.get("/hello/{name}")
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async def hello_name(name: str):
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return {"message": f"helloWorld, {name}!"}
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# 生成图表配置的函数
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def generate_bar_chart_config():
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c = (
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Bar()
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.add_xaxis(Faker.choose())
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.add_yaxis("商家A", Faker.values())
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.add_yaxis("商家B", Faker.values())
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.set_global_opts(title_opts=opts.TitleOpts(title="Bar-MarkLine（自定义）"))
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.set_series_opts(
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label_opts=opts.LabelOpts(is_show=False),
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markline_opts=opts.MarkLineOpts(
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data=[opts.MarkLineItem(y=50, name="yAxis=50")]
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),
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)
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)
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# 获取图表的选项配置，使用 dump_options_with_quotes 方法获取可以直接序列化的选项
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options_str = c.dump_options_with_quotes()
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# 将字符串转换为 JSON 对象
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options_json = json.loads(options_str)
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return options_json
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# 定义一个返回图表配置的路由
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@router.get("/chart/bar")
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async def get_bar_chart_config():
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"""
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获取柱状图配置
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"""
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chart_config = generate_bar_chart_config()
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return chart_config
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# 定义一个带有参数的路由，可以自定义图表标题
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@router.get("/chart/bar/{title}")
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async def get_custom_bar_chart_config(title: str):
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"""
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获取自定义标题的柱状图配置
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"""
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c = (
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Bar()
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.add_xaxis(Faker.choose())
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.add_yaxis("商家A", Faker.values())
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.add_yaxis("商家B", Faker.values())
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.set_global_opts(title_opts=opts.TitleOpts(title=title))
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.set_series_opts(
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label_opts=opts.LabelOpts(is_show=False),
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markline_opts=opts.MarkLineOpts(
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data=[opts.MarkLineItem(y=50, name="yAxis=50")]
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),
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)
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)
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# 获取图表的选项配置
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options_str = c.dump_options_with_quotes()
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# 将字符串转换为 JSON 对象
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options_json = json.loads(options_str)
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return options_json
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4
Start.py
4
Start.py
@@ -1,12 +1,16 @@
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# pip install fastapi uvicorn
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from fastapi import FastAPI
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from fastapi.staticfiles import StaticFiles
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import uvicorn
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from Routes.BigScreen import router as bigscreen_router
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# 创建 FastAPI 应用实例
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app = FastAPI(title="云南教育决策研究服务系统", description="云南省教育数据分析和可视化平台")
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# 挂载静态文件目录
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app.mount("/static", StaticFiles(directory="static"), name="static")
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# 包含大屏展示路由
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app.include_router(bigscreen_router)
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145
static/index.html
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145
static/index.html
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@@ -0,0 +1,145 @@
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>云南教育决策研究服务系统</title>
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<!-- 引入 ECharts -->
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<script src="https://gcore.jsdelivr.net/npm/echarts@6.0.0/dist/echarts.min.js"></script>
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<style>
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body {
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margin: 0;
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padding: 20px;
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font-family: 'Microsoft YaHei', sans-serif;
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background-color: #f5f7fa;
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}
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.header {
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text-align: center;
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margin-bottom: 30px;
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}
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.header h1 {
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color: #2c3e50;
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margin-bottom: 10px;
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}
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.chart-container {
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width: 100%;
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max-width: 1200px;
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margin: 0 auto 30px;
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background-color: #fff;
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border-radius: 8px;
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box-shadow: 0 2px 12px rgba(0, 0, 0, 0.1);
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padding: 20px;
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}
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.chart {
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width: 100%;
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height: 400px;
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}
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.controls {
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margin-bottom: 20px;
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text-align: center;
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}
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.controls input {
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padding: 8px 12px;
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border: 1px solid #ddd;
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border-radius: 4px;
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margin-right: 10px;
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}
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.controls button {
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padding: 8px 16px;
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background-color: #409eff;
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color: white;
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border: none;
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border-radius: 4px;
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cursor: pointer;
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}
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.controls button:hover {
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background-color: #66b1ff;
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}
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.message {
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text-align: center;
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color: #666;
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margin: 20px 0;
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}
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</style>
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</head>
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<body>
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<div class="header">
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<h1>云南教育决策研究服务系统</h1>
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<p>数据可视化展示平台</p>
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</div>
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<div class="chart-container">
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<h2>柱状图示例</h2>
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<div class="controls">
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<input type="text" id="chartTitle" placeholder="输入图表标题" value="Bar-MarkLine（自定义）">
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<button id="loadChart">加载图表</button>
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</div>
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<div id="barChart" class="chart"></div>
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<div class="message" id="message">点击"加载图表"按钮获取数据</div>
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</div>
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<script>
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// 初始化图表
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var barChart = echarts.init(document.getElementById('barChart'));
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// 显示加载中
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function showLoading() {
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barChart.showLoading();
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document.getElementById('message').textContent = '正在加载数据...';
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}
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// 隐藏加载中
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function hideLoading() {
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barChart.hideLoading();
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}
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// 显示错误信息
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function showError(message) {
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document.getElementById('message').textContent = '错误: ' + message;
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console.error(message);
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}
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// 加载图表数据
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function loadChartData() {
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showLoading();
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// 获取图表标题
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var title = document.getElementById('chartTitle').value || 'Bar-MarkLine（自定义）';
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// 调用后端接口获取数据
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fetch('/bigscreen/chart/bar/' + encodeURIComponent(title))
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.then(response => {
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if (!response.ok) {
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throw new Error('网络响应异常');
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}
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return response.json();
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})
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.then(data => {
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// 使用获取到的数据渲染图表
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barChart.setOption(data);
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document.getElementById('message').textContent = '图表加载成功';
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})
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.catch(error => {
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showError(error.message);
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})
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.finally(() => {
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hideLoading();
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});
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}
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// 页面加载完成后自动加载图表
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window.addEventListener('DOMContentLoaded', function() {
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// 绑定按钮点击事件
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document.getElementById('loadChart').addEventListener('click', loadChartData);
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// 自动加载图表
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loadChartData();
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});
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// 窗口大小变化时，重新调整图表大小
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window.addEventListener('resize', function() {
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barChart.resize();
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});
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</script>
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</body>
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</html>
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