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main
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frontend-d
17
Dockerfile
17
Dockerfile
@ -1,17 +0,0 @@
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FROM python:3.12
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# 设置工作目录
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WORKDIR /app
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# 将当前目录内容复制到位于容器的/app目录下
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COPY . /app
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# 安装依赖
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RUN pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
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RUN pip install --no-cache-dir -r requirements.txt
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# 暴露容器的端口
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EXPOSE 8000
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# 在容器启动时运行app.py
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CMD ["python", "main.py"]
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@ -1,6 +1,6 @@
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[server]
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listen = 0.0.0.0
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port = 8000
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port = 8080
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debug = true
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[database]
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@ -1,4 +1,3 @@
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Flask
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pymysql
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confluent-kafka
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kafka-python-ng
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Flask == 3.1.0
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pymysql == 1.1.1
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confluent-kafka == 2.7.0
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@ -12,7 +12,7 @@ def readKafka():
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messages = []
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try:
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# 读取消息,最多读取10条消息
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msg = consumer.poll(timeout_ms=1000, max_records=50)
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msg = consumer.poll(timeout_ms=500, max_records=50)
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for partition, msgs in msg.items():
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for message in msgs:
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messages.append(raw_Data_to_jsonstr(message.value.decode('utf-8')))
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@ -44,7 +44,7 @@ def orders_count_by_name():
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messages = []
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try:
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# 读取消息,最多读取10条消息
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msg = consumer.poll(timeout_ms=1000, max_records=50)
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msg = consumer.poll(timeout_ms=500, max_records=50)
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for partition, msgs in msg.items():
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for message in msgs:
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jsondata = json.loads(message.value.decode('utf-8'))
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@ -66,7 +66,7 @@ def order_name_count():
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messages = []
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try:
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# 读取消息,最多读取10条消息
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msg = consumer.poll(timeout_ms=1000, max_records=50)
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msg = consumer.poll(timeout_ms=500, max_records=50)
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for partition, msgs in msg.items():
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for message in msgs:
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jsondata = json.loads(message.value.decode('utf-8'))
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@ -88,7 +88,7 @@ def summary():
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messages = []
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try:
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# 读取消息,最多读取10条消息
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msg = consumer.poll(timeout_ms=1000, max_records=50)
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msg = consumer.poll(timeout_ms=500, max_records=50)
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for partition, msgs in msg.items():
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for message in msgs:
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jsondata = json.loads(message.value.decode('utf-8'))
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@ -80,7 +80,7 @@
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}
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// 每5秒更新一次图表数据
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setInterval(fetchDataAndUpdateChart, 10000);
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setInterval(fetchDataAndUpdateChart, 5000);
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// 初始数据加载
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fetchDataAndUpdateChart();
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@ -54,7 +54,7 @@
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// 获取数据并更新图表
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function fetchDataAndUpdateChart() {
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fetch('/api/stream/ordernamecount')
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fetch('/api/stream/ordernamecount') // 替换为你的实际API地址
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.then(response => response.json())
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.then(data => {
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// 统计每个订单名称的数量
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@ -82,7 +82,7 @@
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}
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// 每5秒更新一次数据
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setInterval(fetchDataAndUpdateChart, 10000);
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setInterval(fetchDataAndUpdateChart, 5000);
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// 初始数据加载
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fetchDataAndUpdateChart();
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@ -35,11 +35,6 @@
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data: chartData,
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options: {
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responsive: true,
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plugins: {
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legend: {
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display: true, // 显示图例
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}
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},
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scales: {
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x: {
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type: 'category', // X轴使用类别型
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@ -59,11 +54,9 @@
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// 获取数据并更新图表
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function fetchDataAndUpdateChart() {
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fetch('/api/stream/ordersummary')
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fetch('/api/stream/ordersummary') // 替换为你的实际API地址
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.then(response => response.json())
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.then(data => {
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console.log('Received data:', data);
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// 统计每个时间点的订单数量
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let orderCounts = {};
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data.forEach(order => {
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@ -78,8 +71,6 @@
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}
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});
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console.log('Order counts:', orderCounts);
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// 更新图表数据
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chartData.labels = Object.keys(orderCounts); // 设置X轴标签为时间
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chartData.datasets[0].data = Object.values(orderCounts); // 设置Y轴数据为订单数量
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@ -90,8 +81,8 @@
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.catch(error => console.error('获取数据失败:', error));
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}
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// 每10秒更新一次数据
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setInterval(fetchDataAndUpdateChart, 10000);
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// 每5秒更新一次数据
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setInterval(fetchDataAndUpdateChart, 5000);
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// 初始数据加载
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fetchDataAndUpdateChart();
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@ -91,7 +91,7 @@
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}
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// 每5秒更新一次数据
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setInterval(fetchDataAndUpdateChart, 10000);
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setInterval(fetchDataAndUpdateChart, 5000);
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// 初始数据加载
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fetchDataAndUpdateChart();
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