diff --git a/package.json b/package.json
index 79fb35f..defb6bf 100644
--- a/package.json
+++ b/package.json
@@ -36,7 +36,7 @@
     "md-editor-v3": "^4.18.1",
     "nprogress": "0.2.0",
     "pinia": "2.0.22",
-    "video.js": "^8.17.3",
+    "video.js": "7.x",
     "vue": "^3.2.47",
     "vue-cropper": "1.0.3",
     "vue-router": "4.1.4",
diff --git a/src/api/AI.js b/src/api/AI.js
index b091f74..5f02e30 100644
--- a/src/api/AI.js
+++ b/src/api/AI.js
@@ -60,7 +60,7 @@ export function clusterAnalysisPlot(data) {
 //关联规则挖掘
 export function associationRuleMining(data) {
   return request({
-    url: '/api/model/apriori',
+    url: '/api/python/associationRules',
     method: 'post',
     data:data,
   })
@@ -120,4 +120,12 @@ export function knowledgeProfileScore(data) {
     method: "post",
     data: data,
   });
+}
+//聚类分析
+export function clusterAnalysis2(data) {
+  return request({
+    url: "/api/python/clusterAnalysis",
+    method: "post",
+    data: data,
+  });
 }
\ No newline at end of file
diff --git a/src/api/portraitModel.js b/src/api/portraitModel.js
index 86686ec..5951885 100644
--- a/src/api/portraitModel.js
+++ b/src/api/portraitModel.js
@@ -146,3 +146,11 @@ export function timeCountSubmit(data) {
     data: data,
   });
 }
+//聚类分析
+export function clusterAnalysis(data) {
+  return request({
+    url: "/api/python/clusterAnalysis",
+    method: "post",
+    data: data,
+  });
+}
diff --git a/src/assets/images/xz按钮.png b/src/assets/images/xz按钮.png
new file mode 100644
index 0000000..458e9cb
Binary files /dev/null and b/src/assets/images/xz按钮.png differ
diff --git a/src/assets/images/xz按钮2.png b/src/assets/images/xz按钮2.png
new file mode 100644
index 0000000..8e3165d
Binary files /dev/null and b/src/assets/images/xz按钮2.png differ
diff --git a/src/components/codemirror/index.vue b/src/components/codemirror/index.vue
new file mode 100644
index 0000000..04ae26e
--- /dev/null
+++ b/src/components/codemirror/index.vue
@@ -0,0 +1,211 @@
+<!--
+ * @Author: qinzhenpen qzp1807@126.com
+ * @Date: 2024-11-12 16:24:01
+ * @LastEditors: qinzhenpen qzp1807@126.com
+ * @LastEditTime: 2024-12-10 14:07:23
+ * @FilePath: \corporate-finance\src\components\codemirror\index.vue
+ * @Description: 这是默认设置,请设置`customMade`, 打开koroFileHeader查看配置 进行设置: https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE
+-->
+<template>
+    <div class="codemirror">
+        <pre>
+          <code id="answer" ref="answer" class="python">
+          </code>
+         </pre>
+        <div class="output" v-if="Result">
+            <span v-html="Result"></span>
+        </div>
+        <!-- <el-button @click="Execution" type="primary">运行</el-button> -->
+        <!-- <el-button @click="loadTaskInfo" type="primary">清除</el-button> -->
+    </div>
+</template>
+<script setup>
+import { ref } from "vue"
+// import * as caseTraining from "@/api/caseTraining"
+
+const props = defineProps({
+    code: {
+        type: String,
+        default: ""
+    }
+})
+const code = ref("")
+const Result = ref("")
+const answer = ref(null)
+const text = ref("")
+onMounted(() => {
+    setTimeout(() => {
+        loadTaskInfo()
+    }, 500)
+})
+function formatPythonCode(code) {
+    // 使用正则表达式去除```python字段
+    const trimmedCode = code
+        .replace(/```python\s*/, "")
+        .replace(/```Python\s*/, "")
+        .replace(/```/, "")
+    // 使用换行符进行分割
+    const lines = trimmedCode.split("\n")
+
+    // 定义需要高亮的单词及其对应的类名
+    const highlightWords = [
+        { word: "print", className: "highlight" },
+        { word: "import", className: "highlight" },
+        { word: "as", className: "highlight" },
+        { word: "from", className: "highlight" },
+        { word: "num", className: "highlight-green" },
+        { word: "if", className: "highlight-blue" },
+        { word: "else", className: "highlight-blue" },
+        { word: "str", className: "highlight-blue" }
+    ]
+    // 添加样式到文档中
+    const style = document.createElement("style")
+    style.textContent = `
+    .highlight {
+     color: yellow;
+    }
+    .highlight-green {
+      color: lightgreen;
+    }
+    .highlight-blue {
+     color: lightblue;
+    }
+    .comment-highlight {
+      color: #d4d0ab;
+      font-weight: bold;
+    }
+  `
+    document.head.append(style)
+
+    // 格式化每一行代码并添加<li>标签
+    const formattedLines = lines
+        .map((line) => {
+            let codePart = line
+            let commentPart = ""
+
+            // 分割注释部分
+            const commentIndex = line.indexOf("#")
+            if (commentIndex !== -1) {
+                codePart = line.slice(0, commentIndex)
+                commentPart = line.slice(commentIndex)
+            }
+
+            // 先高亮特定单词
+            highlightWords.forEach(({ word, className }) => {
+                const regex = new RegExp(`\\b${word}\\b`, "g")
+                codePart = codePart.replace(regex, `<span class="${className}">${word}</span>`)
+            })
+            if (codePart.includes("___")) {
+                // 如果这一行包含了___，则使用<input>标签替换
+                const parts = codePart.split("___")
+                const inputs = parts
+                    .map((part, index) => {
+                        if (index < parts.length - 1) {
+                            return `${part}<input type="text" style="text-align: center;line-height: 20px;margin: 0 10px;border: none;border-bottom: 1px solid #1e9fff;border-radius: 5px;padding: 0 10px;width: 80px;font-family: inherit;font-size: inherit;font-style: inherit;font-weight: inherit;outline: 0;background:transparent;color:#FF6100">`
+                        }
+                        return part
+                    })
+                    .join("")
+                return `<li style="white-space: pre-wrap;">${inputs}<span class="comment-highlight">${commentPart}</span></li>`
+            } else if (commentPart) {
+                // 如果存在注释部分
+                return `<li style="white-space: pre-wrap;"><span style="white-space: pre-wrap;">${codePart}</span><span class="comment-highlight">${commentPart}</span></li>`
+            } else {
+                if (codePart !== "") {
+                    return `<li style="white-space: pre-wrap;"><span style="white-space: pre-wrap;">${codePart}</span></li>`
+                }
+            }
+        })
+        .filter(Boolean) // 过滤掉 undefined 行
+    // 合并所有格式化后的行并返回
+    return `<ol style="min-height:100%px;padding: 5px 0;list-style: none; padding-left: 0;width:100%">${formattedLines.join("\n")}</ol>`
+}
+// 运行函数
+// function Execution() {
+//     answer.value.querySelectorAll("input").forEach((inputElement, index) => {
+//         const spanElement = document.createElement("span")
+//         spanElement.style.color = "#FF6100"
+//         spanElement.textContent = inputElement.value
+//         inputElement.replaceWith(spanElement)
+//     })
+//     text.value = answer.value.textContent
+//     caseTraining
+//         .pythonRun({ code: text.value })
+//         .then((res) => {
+//             if (res.data !== null) {
+//                 res.data.forEach((item) => {
+//                     Result.value += `<img src="data:image/png;base64,${item}"/>`
+//                 })
+//             } else {
+//                 Result.value = res.msg
+//             }
+//         })
+//         .catch((err) => {})
+// }
+function filterStringWithCommaPrefix(str) {
+    // 分割字符串，如果以逗号开头，split 方法会返回一个空字符串作为第一个元素
+    const parts = str.split(",")
+    // 使用 slice(-1) 获取除了空字符串之外的所有部分，然后取第一个元素
+    return parts.slice(-1)[0]
+}
+function loadTaskInfo() {
+    nextTick(() => {
+        Result.value = ""
+        answer.value.innerHTML = formatPythonCode(props.code)
+    })
+}
+watch(
+    () => props.code,
+    (newVal) => {
+        loadTaskInfo()
+    }
+)
+</script>
+<style lang='scss'  scoped>
+.codemirror {
+    margin-bottom: 20px;
+    pre{
+        margin-bottom: -32px;
+    }
+    :deep(#answer) {
+        display: block;
+        margin: -41px 0px 0px 0px;
+        font-size: 14px;
+        ol {
+            line-height: 10px;
+            li,
+            span {
+                font-family: Source Han Sans CN;
+                font-weight: 400;
+                font-size: 14px;
+                color: #666666;
+                line-height: 14px;
+            }
+        }
+    }
+    #answer span {
+        white-space: pre-wrap;
+    }
+    .output {
+        width: calc(100% - 300px);
+        padding: 10px;
+        min-height: 100px;
+        margin-left: 5px;
+        box-shadow: 0px 0px 0px 1px rgba(0, 0, 0, 0.1);
+        margin-bottom: 10px;
+        // 打字机的效果
+    }
+    .el-button {
+        background: url("../../assets/images/xz按钮.png") no-repeat !important;
+        background-size: 100% 100% !important;
+        border: none;
+        min-width: 135px;
+        min-height: 25px;
+    }
+    .el-button:nth-child(3) {
+        background: url("../../assets/images/xz按钮2.png") no-repeat !important;
+        background-size: 100% 100% !important;
+
+    }
+}
+</style>
\ No newline at end of file
diff --git a/src/layout/index.vue b/src/layout/index.vue
index 8ff99b3..4be6328 100644
--- a/src/layout/index.vue
+++ b/src/layout/index.vue
@@ -2,7 +2,8 @@
   <div :class="classObj" class="app-wrapper" :style="{ '--current-color': theme }">
     <div class="title" style="height: 58px; background-color: #072048 !important; z-index: 900 !important; position: relative">
       <div :class="[role!==3 ? 'navTitle':'TnavTitle']">
-        <span class="nacber-name">天 择 数 字 营 销 实 训 系 统 - 教 师 端 </span>
+        <span class="nacber-name" v-if="role!==3">天 择 数 字 营 销 实 训 系 统</span>
+        <span class="nacber-name" v-else>天 择 数 字 营 销 实 训 系 统 - 教 师 端</span>
       </div>
     </div>
     <div v-if="device === 'mobile' && sidebar.opened" class="drawer-bg" @click="handleClickOutside" />
diff --git a/src/store/modules/algorithm.js b/src/store/modules/algorithm.js
index aa5d814..cb63501 100644
--- a/src/store/modules/algorithm.js
+++ b/src/store/modules/algorithm.js
@@ -2,7 +2,7 @@
  * @Author: qinzhenpen qzp1807@126.com
  * @Date: 2024-08-16 17:56:32
  * @LastEditors: qinzhenpen qzp1807@126.com
- * @LastEditTime: 2024-08-28 14:59:50
+ * @LastEditTime: 2025-04-02 17:55:19
  * @FilePath: \digital-marketing\src\store\modules\algorithm.js
  * @Description: 这是默认设置,请设置`customMade`, 打开koroFileHeader查看配置 进行设置: https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE
  */
diff --git a/src/views/digitalMarketingAlgorithms/components/associationRuleMining.vue b/src/views/digitalMarketingAlgorithms/components/associationRuleMining.vue
index d425309..21659c7 100644
--- a/src/views/digitalMarketingAlgorithms/components/associationRuleMining.vue
+++ b/src/views/digitalMarketingAlgorithms/components/associationRuleMining.vue
@@ -50,6 +50,9 @@
           <div class="left-top" style="margin-top: 50px">
             <span>三、模型参数设置</span>
           </div>
+          <div class="metrics-table">
+            <el-button @click="codeSetting">代码设置</el-button>
+          </div>
           <div class="metrics-table" style="margin-top: 10px">
             <span style="font-weight: 400; font-size: 12px; color: #ffffff">聚类方法：</span>
             <div class="metrics" style="margin-top: 10px">
@@ -322,9 +325,17 @@
       </div>
     </template>
   </pop-model>
+  <pop-model :showModel="runResultShow2" title="设置代码" @closePop="closeCode">
+    <template v-slot:content>
+        <div>
+          <codemirror :code="code"></codemirror>
+        </div>
+    </template>
+  </pop-model>
 </template>
 
 <script setup>
+import codemirror from "@/components/codemirror/index.vue"
 import useAlgorithmStore from "@/store/modules/algorithm.js";
 const algorithmStore = useAlgorithmStore();
 import * as portraitModel from "@/api/portraitModel";
@@ -344,6 +355,7 @@ const formData = reactive({
   value4: "",
   value5: "",
 });
+const code=ref('')
 const scrollbar=ref(null)
 const loading1 =ref(false)
 const task = () => {
@@ -377,78 +389,22 @@ const task = () => {
       proxy.$modal.msgSuccess("提交成功");
     });
 };
+const runResultShow2 = ref(false)
+const closeCode=()=>{
+  runResultShow2.value = false
+  const inputs = document.querySelectorAll('.codemirror pre code input')
+  const values = []
+  inputs.forEach(input => {
+    values.push(input.value)
+  })
+  input5.value=values[0]*100
+  input6.value=values[1]*100
+  input4.value='Apriori关联算法'
+}
 const dialogVisible = ref(false);
 const runResultShow = ref(false);
 const tableLabel = reactive([{ prop: "date", label: "" }]);
 const tableLabel2 = reactive([{ prop: "date", label: "" }]);
-const text = ref(`首先导入必要的库：
-\`\`\`python
-from itertools import chain, combinations
-\`\`\`
-接着定义几个辅助函数：
-\`\`\`python
-# 生成候选项集的所有非空子集
-def powerset(s):
-    return chain.from_iterable(combinations(s, r) for r in range(1, len(s)))
-# 计算支持度
-def calculate_support(itemset, transactions):
-    return sum(1 for transaction in transactions if itemset.issubset(transaction)) / len(transactions)
-\`\`\`
-现在我们来实现Apriori算法：
-\`\`\`python
-def apriori(transactions, min_support, min_confidence):
-    # 初始化频繁项集和关联规则列表
-    frequent_itemsets = []
-    association_rules = []
-    # 第一步：找出单项频繁项集
-    singletons = {frozenset([item]) for transaction in transactions for item in transaction}
-    singletons = {itemset for itemset in singletons if calculate_support(itemset, transactions) >= min_support}
-    frequent_itemsets.extend(singletons)
-    # 迭代找出所有其他频繁项集
-    prev_frequent_itemsets = singletons
-    while prev_frequent_itemsets:
-        # 生成新的候选项集
-        candidates = {itemset1 | itemset2 for itemset1 in prev_frequent_itemsets for itemset2 in prev_frequent_itemsets if len(itemset1 | itemset2) == len(itemset1) + 1}
-        # 计算支持度并筛选
-        new_frequent_itemsets = {itemset for itemset in candidates if calculate_support(itemset, transactions) >= min_support}
-        frequent_itemsets.extend(new_frequent_itemsets)
-        # 生成关联规则
-        for itemset in new_frequent_itemsets:
-            for subset in powerset(itemset):
-                subset = frozenset(subset)
-                diff = itemset - subset
-                if diff:
-                    confidence = calculate_support(itemset, transactions) / calculate_support(subset, transactions)
-                    if confidence >= min_confidence:
-                        association_rules.append((subset, diff, confidence))
-        prev_frequent_itemsets = new_frequent_itemsets
-    return frequent_itemsets, association_rules
-\`\`\`
-### 示例和输出
-假设我们有以下简单的购物数据集：
-\`\`\`python
-transactions = [
-    {'牛奶', '面包', '黄油'},
-    {'啤酒', '面包'},
-    {'牛奶', '啤酒', '黄油'},
-    {'牛奶', '鸡蛋'},
-    {'面包', '鸡蛋', '黄油'}
-]
-\`\`\`
-调用Apriori算法：
-\`\`\`python
-min_support = 0.4
-min_confidence = 0.5
-frequent_itemsets, association_rules = apriori(transactions, min_support, min_confidence)
-print("频繁项集：", frequent_itemsets)
-print("关联规则：", association_rules)
-\`\`\`
-输出可能如下：
-\`\`\`python
-频繁项集： [{'牛奶'}, {'面包'}, {'黄油'}, {'啤酒'}, {'鸡蛋'}, {'牛奶', '面包'}, {'牛奶', '黄油'}, {'面包', '黄油'}, {'啤酒', '黄油'}, {'面包', '啤酒'}]
-关联规则： [(('牛奶',), ('面包',), 0.6666666666666666), (('面包',), ('牛奶',), 0.6666666666666666), ...]
-\`\`\`
-通过这个实战应用，我们不仅学习了如何在Python中实现Apriori算法，还了解了它在购物篮分析中的具体应用。这为进一步的研究和实际应用提供了有用的指导。`);
 const getList = () => {
   API.selectionMetrics({ userId: JSON.parse(getUserInfo()).userId }).then((res) => {
     res.data.forEach((element) => {
@@ -548,6 +504,13 @@ const taskSubmit = () => {
   dialogVisible.value = true;
 };
 const tableData = ref([]);
+const codeSetting=()=>{
+  if(input.value==="购物车数据表"){
+    runResultShow2.value=true
+  }else{
+    proxy.$modal.msgWarning("请选择购物车数据表！")
+  }
+}
 const headerCellStyle = () => {
   return {
     backgroundColor: "#1882DE !important", // 设置表头背景颜色
@@ -572,7 +535,66 @@ const optionData2 = () => {
       tableData2.value = [];
       tableData2.value = res.data;
       proxy.$modal.msgSuccess("预处理成功！");
-    });
+    }).then(()=>{
+      code.value=`
+# -*- coding: utf-8 -*-
+import json
+from itertools import chain, combinations
+
+def powerset(s):
+    return chain.from_iterable(combinations(s, r) for r in range(1, len(s) + 1))
+
+def calculate_support(itemset, transactions):
+    return sum(1 for transaction in transactions if itemset.issubset(transaction)) / len(transactions)
+
+def apriori(transactions, min_support, min_confidence):
+    frequent_itemsets = []
+    association_rules = []
+
+    singletons = {frozenset([item]) for transaction in transactions for item in transaction}
+    singletons = {itemset for itemset in singletons if calculate_support(itemset, transactions) >= min_support}
+    frequent_itemsets.extend(singletons)
+
+    prev_frequent_itemsets = singletons
+    while prev_frequent_itemsets:
+        candidates = {itemset1 | itemset2 for itemset1 in prev_frequent_itemsets for itemset2 in prev_frequent_itemsets if len(itemset1 | itemset2) == len(itemset1) + 1}
+        new_frequent_itemsets = {itemset for itemset in candidates if calculate_support(itemset, transactions) >= min_support}
+        frequent_itemsets.extend(new_frequent_itemsets)
+
+        for itemset in new_frequent_itemsets:
+            for subset in powerset(itemset):
+                subset = frozenset(subset)
+                diff = itemset - subset
+                if diff:
+                    confidence = calculate_support(itemset, transactions) / calculate_support(subset, transactions)
+                    if confidence >= min_confidence:
+                        rule = {
+                            "correlation": list(subset),
+                            "associated": list(diff),
+                            "confidenceLevel": round(confidence, 2),
+                            "rule": f"[{', '.join(subset)}]==>[{', '.join(diff)}]==>{round(confidence, 2)}"
+                        }
+                        association_rules.append(rule)
+
+        prev_frequent_itemsets = new_frequent_itemsets
+
+    result = {
+        # "frequentItemsets": [list(itemset) for itemset in frequent_itemsets],
+        "associationRules": association_rules
+    }
+
+    print(json.dumps(result, ensure_ascii=False))
+
+
+transactions = [
+    ${resTable2.value.map(item => "{" + item.consumer_goods.split(',').map(good => "'" + good + "'").join(',') + "}").join(',')} 
+]
+
+min_support = ___
+min_confidence = ___
+apriori(transactions, min_support, min_confidence)
+      `
+    })
   }
 };
 
@@ -585,25 +607,31 @@ const computation = () => {
     return;
   }
   if (input5.value && input6.value && input4.value) {
-    const sendData = {
-      confidence: parseFloat(input5.value) / 100,
-      support: parseFloat(input6.value) / 100,
-      userId: JSON.parse(getUserInfo()).userId,
-      deduplicatedDataList: resTable2.value,
-    };
-    API.associationRuleMining(sendData)
+    const sendData =ref({
+      minConfidence: parseFloat(input6.value) / 100,
+      minSupport: parseFloat(input5.value) / 100,
+      type: input.value,
+      data: Object.keys(resTable2.value[0]).reduce((acc, key) => {
+        acc[key] = resTable2.value.map(item => item[key]);
+        return acc;
+      }, {}),
+    })
+    if(input.value==="购物车数据表"){
+      sendData.value.data = {consumer_goods:resTable2.value.map(item => item.consumer_goods.split(','))}
+    }
+    API.associationRuleMining(sendData.value)
       .then((res) => {
         loading1.value = true;
         uplodFlag.value = true;
         tableData3.value = [];
         tableLabel2.length = 0;
-        for (const key in res.data[0]) {
+        for (const key in res.data.associationRules[0]) {
           tableLabel2.push({
             label: key,
             prop: key,
           });
         }
-        tableData3.value = res.data;
+        tableData3.value = res.data.associationRules;
         //一秒后执行
         setTimeout(() => {
           loading1.value = false;
diff --git a/src/views/digitalMarketingAlgorithms/components/clusterAnalysis.vue b/src/views/digitalMarketingAlgorithms/components/clusterAnalysis.vue
index c6880a9..b11d0fe 100644
--- a/src/views/digitalMarketingAlgorithms/components/clusterAnalysis.vue
+++ b/src/views/digitalMarketingAlgorithms/components/clusterAnalysis.vue
@@ -49,6 +49,9 @@
           <div class="left-top" style="margin-top: 50px">
             <span>三、模型参数设置</span>
           </div>
+          <div class="metrics-table">
+            <el-button @click="codeSetting">代码设置</el-button>
+          </div>
           <div class="metrics-table" style="margin-top: 10px">
             <span style="font-weight: 400; font-size: 12px; color: #ffffff">聚类方法：</span>
             <div class="metrics" style="margin-top: 10px">
@@ -274,9 +277,18 @@
       </div>
     </template>
   </pop-model>
+
+  <pop-model :showModel="runResultShow2" title="设置代码" @closePop="closeCode">
+    <template v-slot:content>
+        <div>
+          <codemirror :code="code"></codemirror>
+        </div>
+    </template>
+  </pop-model>
 </template>
 
 <script setup>
+import codemirror from "@/components/codemirror/index.vue"
 import * as portraitModel from "@/api/portraitModel";
 import useAlgorithmStore from "@/store/modules/algorithm.js";
 const algorithmStore = useAlgorithmStore();
@@ -288,6 +300,10 @@ import JSZip from "jszip";
 import * as API from "@/api/AI.js";
 import { getUserInfo } from "@/utils/auth";
 import { onMounted, reactive } from "vue";
+const age=ref('')
+const income=ref('')
+const runResultShow2=ref(false)
+const code=ref()
 const loading1 = ref(false);
 const loading2 = ref(false);
 const loading3 = ref(false);
@@ -374,7 +390,7 @@ const addData = (myChart, newData, color) => {
   // 添加新数据集，并为每个数据点单独设置颜色
   newData.forEach((dataPoint) => {
     currentData.push({
-      value: [dataPoint.x, dataPoint.y],
+      value: [dataPoint.age, dataPoint.income],
       itemStyle: { color: color },
     });
   });
@@ -388,7 +404,27 @@ const addData = (myChart, newData, color) => {
     ],
   });
 };
+//图标添加数据
+const addData2 = (myChart, newData, color) => {
+  // 获取当前的数据
+  let currentData = myChart.getOption().series[0].data || [];
+  // 添加新数据集，并为每个数据点单独设置颜色
+  // newData.forEach((dataPoint) => {
+    currentData.push({
+      value: [newData[0], newData[1]],
+      itemStyle: { color: color },
+    });
+  // });
 
+  // 更新图表
+  myChart.setOption({
+    series: [
+      {
+        data: currentData,
+      },
+    ],
+  });
+};
 onMounted(() => {
   getList();
   optionData()
@@ -517,6 +553,9 @@ const headerCellStyle = () => {
     color: "#ffffff !important",
   };
 };
+const codeSetting=()=>{
+  runResultShow2.value=true
+}
 const optionData2 = () => {
   if (tableData2.value.length === 0) {
     input2.value = "";
@@ -540,12 +579,119 @@ const optionData2 = () => {
         setTimeout(() => {
           loading2.value = false;
         }, 500);
+      }).then(()=>{
+        const fields = Object.keys(resTable2.value[0])
+        const data = {}
+        fields.forEach(field => {
+          const values = resTable2.value.map(item => item[field]).join(',')
+          data[field] = values
+        })
+code.value=`
+# -*- coding: utf-8 -*-
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from sklearn.cluster import KMeans
+import json
+
+# 模拟输入数据（可以根据实际输入动态更改）
+data = {
+    ${Object.entries(data).map(([key, value]) => `'${key}': [${value}]`).join(',\n    ')}
+}
+
+# 将字典转换为 DataFrame
+df = pd.DataFrame(data)
+
+# 提取特征数组
+X = df.values
+
+# 选择聚类的数量和设置最大迭代次数
+num_clusters = ___
+max_iter = ___  # 设置最大迭代次数
+n_init = 10  # 初始化次数
+kmeans = KMeans(n_clusters=num_clusters, n_init=n_init, max_iter=max_iter, random_state=0)
+
+# 拟合模型
+kmeans.fit(X)
+
+# 获取聚类结果
+labels = kmeans.labels_
+centroids = kmeans.cluster_centers_
+
+# 记录每次的迭代结果
+iterations_per_init = []
+for _ in range(n_init):
+    kmeans = KMeans(n_clusters=num_clusters, n_init=1, max_iter=max_iter, random_state=None)  # 随机化每次初始化
+    kmeans.fit(X)
+    iterations_per_init.append(kmeans.n_iter_)
+
+# 计算总体迭代次数
+total_iterations = sum(iterations_per_init)
+
+# 构建输出每个簇的成员，并生成 JSON 格式
+clusters_output = {
+    "data": {}  # 初始化一个 Members 字典
+}
+
+for i in range(num_clusters):
+    cluster_members = X[labels == i]  # 获取所有成员
+    member_dicts = [{col: int(member[j]) if isinstance(member[j], np.int64) else member[j] for j, col in enumerate(df.columns)} for member in cluster_members]
+
+    # 添加到数据字典中
+    clusters_output["data"][f"Cluster_{i + 1}"] = {
+        "Members": member_dicts,  # 添加簇的所有成员
+        "Centroid": [float(c) for c in centroids[i]]  # 转换质心为 float，以避免可能的整数问题
+    }
+
+# 添加最大迭代次数和总体迭代次数
+clusters_output["maxIterations"] = int(max_iter)
+clusters_output["totalIterations"] = int(total_iterations)
+
+# 输出最终结果
+output_json = json.dumps(clusters_output, ensure_ascii=False, separators=(',', ': '))
+
+# 按照需求进行格式化输出
+formatted_output = output_json.replace('},{', '},\n{')  # 簇之间换行
+print(formatted_output)
+
+# 可视化聚类结果
+plt.figure(figsize=(10, 6))
+
+for i in range(num_clusters):
+    plt.scatter(X[labels == i, 0], X[labels == i, 1], label=f'Cluster {i + 1}')
+
+# 显示聚类中心并标记坐标
+for i, centroid in enumerate(centroids):
+    plt.scatter(centroid[0], centroid[1], s=300, c='red', label='Centroid ' + str(i + 1), marker='X')
+    plt.text(centroid[0], centroid[1], f'C{i + 1}: ({centroid[0]:.1f}, {centroid[1]:.1f})', fontsize=12, ha='right')
+
+# 在每个点旁边显示坐标
+for idx, point in enumerate(X):
+    plt.text(point[0], point[1], f'({point[0]}, {point[1]})', fontsize=9, ha='right')
+
+plt.title('K-Means Clustering')
+plt.xlabel('Age')
+plt.ylabel('Income')
+plt.legend()
+plt.grid()
+plt.show()`
       })
       .catch(() => {
         loading2.value = false;
       });
   }
 };
+const closeCode=()=>{
+  runResultShow2.value = false
+  const inputs = document.querySelectorAll('.codemirror pre code input')
+  const values = []
+  inputs.forEach(input => {
+    values.push(input.value)
+  })
+  input5.value=values[0]
+  input6.value=values[1]
+  input4.value='K-means'
+}
 const showChart = ref(false);
 //生产表格
 const iterations=ref(0)
@@ -558,10 +704,10 @@ const clusterAnalysisCalculation = () => {
   if (input5.value && input6.value && input4.value) {
     loading3.value = true;
     const sendData = {
-      k: input5.value,
       t: input6.value,
+      k: input5.value,
       userId: JSON.parse(getUserInfo()).userId,
-      deduplicatedDataList: resTable2.value,
+      deduplicatedDataList: resTable2.value
     };
     API.clusterAnalysisPlot(sendData)
       .then((res) => {
@@ -593,11 +739,19 @@ const clusterAnalysisCalculation = () => {
             children.value.push(newItem2);
           });
           tableData3.value[index].children = children.value;
-          console.log(tableData3.value);
         });
       })
       .then(() => {
-        API.clusterAnalysis(sendData).then((res) => {
+        const sendData2 = {
+            maxIterations: input6.value,
+            clusteringFrequency: input5.value,
+            // userId: JSON.parse(getUserInfo()).userId,
+            data:Object.keys(resTable2.value[0]).reduce((acc, key) => {
+                acc[key] = resTable2.value.map(item => item[key]);
+                return acc;
+              }, {}),
+          };
+        API.clusterAnalysis2(sendData2).then((res) => {
           myChart.setOption({
             series: [
               {
@@ -612,14 +766,19 @@ const clusterAnalysisCalculation = () => {
               },
             ],
           });
-          Object.keys(res.data.dataSet).forEach((key) => {
-            const bgColor = getRandomColorHex();
-            addData(myChart, res.data.dataSet[key], bgColor);
-            addData(myChart2, res.data.dataSet[key], bgColor);
-          });
-          Object.keys(res.data.centroid).forEach((key) => {
-            addData(myChart2, res.data.centroid[key], "red");
-          });
+          const bgColor = getRandomColorHex();
+          addData(myChart, res.data.data.Cluster_1.members, bgColor)
+          addData(myChart2, res.data.data.Cluster_2.members, bgColor)
+          addData2(myChart, res.data.data.Cluster_1.centroid, "red")
+          addData2(myChart2, res.data.data.Cluster_2.centroid, "red")
+          // Object.keys(res.data.dataSet).forEach((key) => {
+          //   const bgColor = getRandomColorHex();
+          //   addData(myChart, res.data.dataSet[key], bgColor);
+          //   addData(myChart2, res.data.dataSet[key], bgColor);
+          // });
+          // Object.keys(res.data.centroid).forEach((key) => {
+          //   addData(myChart2, res.data.centroid[key], "red");
+          // });
           setTimeout(() => {
             loading3.value = false;
           }, 500);
diff --git a/src/views/digitalMarketingAlgorithms/index.vue b/src/views/digitalMarketingAlgorithms/index.vue
index e53779c..d1ce54e 100644
--- a/src/views/digitalMarketingAlgorithms/index.vue
+++ b/src/views/digitalMarketingAlgorithms/index.vue
@@ -1,4 +1,5 @@
 <template>
+  <div class="rgzn_top app-container2" v-loading="loading" element-loading-text="Loading..." :element-loading-spinner="svg" element-loading-svg-view-box="-10, -10, 50, 50" element-loading-background="rgba(122, 122, 122, 0.8)">
   <div class="rgzn_top app-container2" v-loading="loading" element-loading-text="Loading..." :element-loading-spinner="svg" element-loading-svg-view-box="-10, -10, 50, 50" element-loading-background="rgba(122, 122, 122, 0.8)">
     <div class="top_item">
       <el-button :class="{ active: isActive === 1 }" @click="activeIndex(1)">用户数据库</el-button>
diff --git a/src/views/portraitModel/components/AARRRAnalysis.vue b/src/views/portraitModel/components/AARRRAnalysis.vue
index f589559..f782c4d 100644
--- a/src/views/portraitModel/components/AARRRAnalysis.vue
+++ b/src/views/portraitModel/components/AARRRAnalysis.vue
@@ -1271,7 +1271,7 @@ defineExpose({
 });
 const openKnowledge = () => {
   dialogVisible.value = true;
-  startCount();
+  // startCount();
 };
 const handlClose = () => {
  console.log('123');
@@ -1293,15 +1293,15 @@ const startCount = () => {
   }, 1000);
 };
 const submitTimeCount = () => {
-  portraitModel
-    .timeCountSubmit({
-      stuScoreDetailsDTO: {
-        userId: JSON.parse(getUserInfo()).userId,
-        viewingTime: timeCount.value,
-      },
-    })
-    .then((res) => {})
-    .catch((error) => {});
+  // portraitModel
+  //   .timeCountSubmit({
+  //     stuScoreDetailsDTO: {
+  //       userId: JSON.parse(getUserInfo()).userId,
+  //       viewingTime: timeCount.value,
+  //     },
+  //   })
+  //   .then((res) => {})
+  //   .catch((error) => {});
 };
 </script>
 
diff --git a/src/views/portraitModel/components/abcAnalysis.vue b/src/views/portraitModel/components/abcAnalysis.vue
index adc9919..1d660f5 100644
--- a/src/views/portraitModel/components/abcAnalysis.vue
+++ b/src/views/portraitModel/components/abcAnalysis.vue
@@ -1244,7 +1244,7 @@ defineExpose({
 });
 const openKnowledge = () => {
   dialogVisible.value = true;
-  startCount();
+  // startCount();
 };
 const handlClose = () => {
  console.log('123');
@@ -1266,15 +1266,15 @@ const startCount = () => {
   }, 1000);
 };
 const submitTimeCount = () => {
-  portraitModel
-    .timeCountSubmit({
-      stuScoreDetailsDTO: {
-        userId: JSON.parse(getUserInfo()).userId,
-        viewingTime: timeCount.value,
-      },
-    })
-    .then((res) => {})
-    .catch((error) => {});
+  // portraitModel
+  //   .timeCountSubmit({
+  //     stuScoreDetailsDTO: {
+  //       userId: JSON.parse(getUserInfo()).userId,
+  //       viewingTime: timeCount.value,
+  //     },
+  //   })
+  //   .then((res) => {})
+  //   .catch((error) => {});
 };
 </script>
 
diff --git a/src/views/portraitModel/components/basketAnalysis.vue b/src/views/portraitModel/components/basketAnalysis.vue
index bb7335b..39f36a8 100644
--- a/src/views/portraitModel/components/basketAnalysis.vue
+++ b/src/views/portraitModel/components/basketAnalysis.vue
@@ -1145,7 +1145,7 @@ defineExpose({
 });
 const openKnowledge = () => {
   dialogVisible.value = true;
-  startCount();
+  // startCount();
 };
 const handlClose = () => {
  console.log('123');
@@ -1164,15 +1164,15 @@ const startCount = () => {
   }, 1000);
 };
 const submitTimeCount = () => {
-  portraitModel
-    .timeCountSubmit({
-      stuScoreDetailsDTO: {
-        userId: JSON.parse(getUserInfo()).userId,
-        viewingTime: timeCount.value,
-      },
-    })
-    .then((res) => {})
-    .catch((error) => {});
+  // portraitModel
+  //   .timeCountSubmit({
+  //     stuScoreDetailsDTO: {
+  //       userId: JSON.parse(getUserInfo()).userId,
+  //       viewingTime: timeCount.value,
+  //     },
+  //   })
+  //   .then((res) => {})
+  //   .catch((error) => {});
 };
 </script>
 
diff --git a/src/views/portraitModel/components/bostonAnalysis.vue b/src/views/portraitModel/components/bostonAnalysis.vue
index ae2b959..a51c33c 100644
--- a/src/views/portraitModel/components/bostonAnalysis.vue
+++ b/src/views/portraitModel/components/bostonAnalysis.vue
@@ -1935,7 +1935,7 @@ defineExpose({
 });
 const openKnowledge = () => {
   dialogVisible.value = true;
-  startCount();
+  // startCount();
 };
 const handlClose = () => {
  console.log('123');
@@ -1954,15 +1954,15 @@ const startCount = () => {
   }, 1000);
 };
 const submitTimeCount = () => {
-  portraitModel
-    .timeCountSubmit({
-      stuScoreDetailsDTO: {
-        userId: JSON.parse(getUserInfo()).userId,
-        viewingTime: timeCount.value,
-      },
-    })
-    .then((res) => {})
-    .catch((error) => {});
+  // portraitModel
+  //   .timeCountSubmit({
+  //     stuScoreDetailsDTO: {
+  //       userId: JSON.parse(getUserInfo()).userId,
+  //       viewingTime: timeCount.value,
+  //     },
+  //   })
+  //   .then((res) => {})
+  //   .catch((error) => {});
 };
 </script>
 
diff --git a/src/views/portraitModel/components/funnelAnalysis.vue b/src/views/portraitModel/components/funnelAnalysis.vue
index 64fa939..3a21d6d 100644
--- a/src/views/portraitModel/components/funnelAnalysis.vue
+++ b/src/views/portraitModel/components/funnelAnalysis.vue
@@ -1217,7 +1217,7 @@ defineExpose({
 });
 const openKnowledge = () => {
   dialogVisible.value = true;
-  startCount();
+  // startCount();
 };
 const handlClose = () => {
  console.log('123');
@@ -1236,15 +1236,15 @@ const startCount = () => {
   }, 1000);
 };
 const submitTimeCount = () => {
-  portraitModel
-    .timeCountSubmit({
-      stuScoreDetailsDTO: {
-        userId: JSON.parse(getUserInfo()).userId,
-        viewingTime: timeCount.value,
-      },
-    })
-    .then((res) => {})
-    .catch((error) => {});
+  // portraitModel
+  //   .timeCountSubmit({
+  //     stuScoreDetailsDTO: {
+  //       userId: JSON.parse(getUserInfo()).userId,
+  //       viewingTime: timeCount.value,
+  //     },
+  //   })
+  //   .then((res) => {})
+  //   .catch((error) => {});
 };
 </script>
 
diff --git a/src/views/portraitModel/components/portraitAnalysis.vue b/src/views/portraitModel/components/portraitAnalysis.vue
index 3fcc1db..be4bbc6 100644
--- a/src/views/portraitModel/components/portraitAnalysis.vue
+++ b/src/views/portraitModel/components/portraitAnalysis.vue
@@ -1232,7 +1232,7 @@ defineExpose({
 });
 const openKnowledge = () => {
   dialogVisible.value = true;
-  startCount();
+  // startCount();
 };
 const handlClose = () => {
  console.log('123');
@@ -1251,15 +1251,15 @@ const startCount = () => {
   }, 1000);
 };
 const submitTimeCount = () => {
-  portraitModel
-    .timeCountSubmit({
-      stuScoreDetailsDTO: {
-        userId: JSON.parse(getUserInfo()).userId,
-        viewingTime: timeCount.value,
-      },
-    })
-    .then((res) => {})
-    .catch((error) => {});
+  // portraitModel
+  //   .timeCountSubmit({
+  //     stuScoreDetailsDTO: {
+  //       userId: JSON.parse(getUserInfo()).userId,
+  //       viewingTime: timeCount.value,
+  //     },
+  //   })
+  //   .then((res) => {})
+  //   .catch((error) => {});
 };
 </script>
 
diff --git a/src/views/portraitModel/components/repurchaseAnalysis.vue b/src/views/portraitModel/components/repurchaseAnalysis.vue
index 2764fc0..4918fa2 100644
--- a/src/views/portraitModel/components/repurchaseAnalysis.vue
+++ b/src/views/portraitModel/components/repurchaseAnalysis.vue
@@ -2236,7 +2236,7 @@ defineExpose({
 });
 const openKnowledge = () => {
   dialogVisible.value = true;
-  startCount();
+  // startCount();
 };
 const handlClose = () => {
  console.log('123');
@@ -2255,15 +2255,15 @@ const startCount = () => {
   }, 1000);
 };
 const submitTimeCount = () => {
-  portraitModel
-    .timeCountSubmit({
-      stuScoreDetailsDTO: {
-        userId: JSON.parse(getUserInfo()).userId,
-        viewingTime: timeCount.value,
-      },
-    })
-    .then((res) => {})
-    .catch((error) => {});
+  // portraitModel
+  //   .timeCountSubmit({
+  //     stuScoreDetailsDTO: {
+  //       userId: JSON.parse(getUserInfo()).userId,
+  //       viewingTime: timeCount.value,
+  //     },
+  //   })
+  //   .then((res) => {})
+  //   .catch((error) => {});
 };
 </script>
 
diff --git a/src/views/portraitModel/components/retainAnalysis.vue b/src/views/portraitModel/components/retainAnalysis.vue
index 8f7b850..ceed03f 100644
--- a/src/views/portraitModel/components/retainAnalysis.vue
+++ b/src/views/portraitModel/components/retainAnalysis.vue
@@ -1762,7 +1762,7 @@ defineExpose({
 });
 const openKnowledge = () => {
   dialogVisible.value = true;
-  startCount();
+  // startCount();
 };
 const handlClose = () => {
  console.log('123');
@@ -1781,15 +1781,15 @@ const startCount = () => {
   }, 1000);
 };
 const submitTimeCount = () => {
-  portraitModel
-    .timeCountSubmit({
-      stuScoreDetailsDTO: {
-        userId: JSON.parse(getUserInfo()).userId,
-        viewingTime: timeCount.value,
-      },
-    })
-    .then((res) => {})
-    .catch((error) => {});
+  // portraitModel
+  //   .timeCountSubmit({
+  //     stuScoreDetailsDTO: {
+  //       userId: JSON.parse(getUserInfo()).userId,
+  //       viewingTime: timeCount.value,
+  //     },
+  //   })
+  //   .then((res) => {})
+  //   .catch((error) => {});
 };
 </script>
 
diff --git a/src/views/portraitModel/components/rfmAnalysis.vue b/src/views/portraitModel/components/rfmAnalysis.vue
index 2df1d14..1d67e99 100644
--- a/src/views/portraitModel/components/rfmAnalysis.vue
+++ b/src/views/portraitModel/components/rfmAnalysis.vue
@@ -37,7 +37,7 @@
           <img src="@/assets/images/步骤.png" alt="" />
           <span>第一步，确定“近一段时间”的时间间隔</span>
         </div>
-        <span style="line-height: 25px; font-size: 14px">计划分析最近30天的用户，假设现在是2025.05.30，需要对数据进行筛选，筛选出统计样本</span>
+        <span style="line-height: 25px; font-size: 14px">计划分析最近30天的用户，假设现在是2024.05.30，需要对数据进行筛选，筛选出统计样本</span>
         <div style="margin-top: 10px; display: flex">
           <el-table
             :data="fileTable1"
diff --git a/src/views/portraitModel/components/viscosityAnalysis.vue b/src/views/portraitModel/components/viscosityAnalysis.vue
index 600d032..1b60e77 100644
--- a/src/views/portraitModel/components/viscosityAnalysis.vue
+++ b/src/views/portraitModel/components/viscosityAnalysis.vue
@@ -1937,7 +1937,7 @@ defineExpose({
 });
 const openKnowledge = () => {
   dialogVisible.value = true;
-  startCount();
+  // startCount();
 };
 const handlClose = () => {
  console.log('123');
@@ -1956,15 +1956,15 @@ const startCount = () => {
   }, 1000);
 };
 const submitTimeCount = () => {
-  portraitModel
-    .timeCountSubmit({
-      stuScoreDetailsDTO: {
-        userId: JSON.parse(getUserInfo()).userId,
-        viewingTime: timeCount.value,
-      },
-    })
-    .then((res) => {})
-    .catch((error) => {});
+  // portraitModel
+  //   .timeCountSubmit({
+  //     stuScoreDetailsDTO: {
+  //       userId: JSON.parse(getUserInfo()).userId,
+  //       viewingTime: timeCount.value,
+  //     },
+  //   })
+  //   .then((res) => {})
+  //   .catch((error) => {});
 };
 </script>