deploy: 2026-07-15 14:57 部署更新
This commit is contained in:
+40
-13
@@ -910,19 +910,47 @@ def generate_paradigm(
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{dialog_text}
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## 输出要求
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请基于上述产品详情(定位、卖点、目标人群)和真实对话,提炼并生成一套**标准范式对话模板**,即针对此类客户的最优销售话术流程。话术要自然融入产品的核心卖点和定位,不要生硬推销。输出严格 JSON:
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- customer_type: 客户类型描述(如"湿疹宝妈-价格敏感型")
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- product_positioning: 对该客户的产品推荐理由(结合产品定位和客户需求,1-2句话)
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- stages: 按销售阶段排列的对话步骤数组,每个元素包含:
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- stage: 阶段名称(建立联系/需求发现/报价/异议处理/成交)
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- goal: 该阶段目标
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- sales_script: 销售话术(1-3句,具体可执行,自然融入产品卖点)
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- expected_response: 预期客户回应
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- tips: 该阶段技巧提示
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- key_techniques: 核心销售技巧总结(数组,每条一句话)
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- improvement_points: 真实对话中可改进的点(数组,每条一句话)
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请基于上述产品详情(定位、卖点、目标人群)和真实对话,提炼并生成一套**标准范式对话模板**,即针对此类客户的最优销售话术流程。话术要自然融入产品的核心卖点和定位,不要生硬推销。
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只输出 JSON,不要其他文字。"""
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请用 Markdown 格式输出,结构如下:
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## 客户类型
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(描述客户类型,如"湿疹宝妈-价格敏感型")
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## 产品推荐理由
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(结合产品定位和客户需求,1-2句话说明为什么推荐这个产品)
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## 标准销售流程
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### 1. 建立联系
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- **目标**:xxx
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- **销售话术**:xxx
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- **预期回应**:xxx
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- **技巧提示**:xxx
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### 2. 需求发现
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(同上格式)
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### 3. 报价
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(同上格式)
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### 4. 异议处理
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(同上格式)
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### 5. 成交
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(同上格式)
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## 核心销售技巧
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- 技巧1
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- 技巧2
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- ...
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## 真实对话可改进的点
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- 改进点1
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- 改进点2
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- ...
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直接输出 Markdown 内容,不要输出 JSON。"""
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body = json.dumps({
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"model": "qwen-plus",
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@@ -930,7 +958,6 @@ def generate_paradigm(
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{"role": "system", "content": "你是微信销售对话分析专家,擅长从真实对话中提炼标准范式。"},
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{"role": "user", "content": prompt},
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],
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"response_format": {"type": "json_object"},
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"temperature": 0.4,
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"stream": True,
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"stream_options": {"include_usage": False},
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+72
-18
@@ -1138,10 +1138,10 @@ async function generateParadigm() {
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<svg class="animate-spin w-5 h-5 text-green-600" fill="none" viewBox="0 0 24 24"><circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"/><path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4z"/></svg>
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<span class="text-sm text-gray-500">正在调用千问 LLM 生成标准范式对话...</span>
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</div>
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<pre id="paradigm-stream-text" class="text-xs text-gray-600 bg-gray-50 rounded p-3 max-h-96 overflow-auto whitespace-pre-wrap break-all font-mono"></pre>
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<div id="paradigm-md" class="text-sm leading-relaxed"></div>
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</div>
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`;
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const streamText = document.getElementById('paradigm-stream-text');
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const mdContainer = document.getElementById('paradigm-md');
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let fullContent = '';
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try {
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const productId = document.getElementById('paradigm-product-select').value;
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@@ -1152,6 +1152,15 @@ async function generateParadigm() {
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const reader = resp.body.getReader();
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const decoder = new TextDecoder();
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let buffer = '';
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let renderRaf = null;
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function scheduleRender() {
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if (renderRaf) return;
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renderRaf = requestAnimationFrame(() => {
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renderRaf = null;
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mdContainer.innerHTML = renderMarkdown(fullContent);
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mdContainer.scrollTop = mdContainer.scrollHeight;
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});
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}
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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@@ -1167,28 +1176,19 @@ async function generateParadigm() {
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if (obj.error) throw new Error(obj.error);
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if (obj.content) {
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fullContent += obj.content;
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streamText.textContent = fullContent;
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streamText.scrollTop = streamText.scrollHeight;
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scheduleRender();
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}
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} catch (e) {
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// 忽略解析错误的行
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}
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}
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}
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// 尝试解析完整 JSON 并渲染结构化结果
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try {
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const data = JSON.parse(fullContent);
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renderParadigm(data);
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} catch (e) {
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// JSON 解析失败,保留原始流式文本
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result.innerHTML = `
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<div class="bg-white rounded-lg shadow p-6">
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<h3 class="text-lg font-bold mb-2">标准范式对话模板</h3>
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<p class="text-sm text-orange-500 mb-3">LLM 返回内容无法解析为 JSON,以下为原始输出:</p>
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<pre class="text-xs text-gray-600 bg-gray-50 rounded p-3 max-h-96 overflow-auto whitespace-pre-wrap break-all">${escapeHtml(fullContent)}</pre>
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</div>
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`;
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}
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// 最终渲染
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if (renderRaf) cancelAnimationFrame(renderRaf);
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mdContainer.innerHTML = renderMarkdown(fullContent);
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// 移除加载动画
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const loader = result.querySelector('.animate-spin');
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if (loader) loader.parentElement.remove();
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} catch (e) {
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result.innerHTML = `<p class="text-sm text-red-500">生成失败: ${e.message}</p>`;
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} finally {
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@@ -1197,6 +1197,60 @@ async function generateParadigm() {
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}
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}
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/** 轻量 Markdown 转 HTML 渲染器 */
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function renderMarkdown(md) {
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if (!md) return '';
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const lines = md.split('\n');
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let html = '';
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let inList = false;
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let inOrderedList = false;
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for (let i = 0; i < lines.length; i++) {
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let line = lines[i];
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// 标题
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if (/^### /.test(line)) {
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if (inList) { html += '</ul>'; inList = false; }
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if (inOrderedList) { html += '</ol>'; inOrderedList = false; }
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html += `<h4 class="font-semibold text-base mt-4 mb-2 text-gray-800">${inlineMd(line.slice(4))}</h4>`;
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} else if (/^## /.test(line)) {
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if (inList) { html += '</ul>'; inList = false; }
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if (inOrderedList) { html += '</ol>'; inOrderedList = false; }
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html += `<h3 class="font-bold text-lg mt-5 mb-2 text-gray-900 border-b pb-1">${inlineMd(line.slice(3))}</h3>`;
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} else if (/^# /.test(line)) {
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if (inList) { html += '</ul>'; inList = false; }
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if (inOrderedList) { html += '</ol>'; inOrderedList = false; }
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html += `<h2 class="font-bold text-xl mt-5 mb-3 text-gray-900">${inlineMd(line.slice(2))}</h2>`;
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} else if (/^[-*] /.test(line)) {
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if (!inList) { html += '<ul class="space-y-1 ml-4 list-disc">'; inList = true; }
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html += `<li>${inlineMd(line.slice(2))}</li>`;
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} else if (/^\d+\. /.test(line)) {
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if (!inOrderedList) { html += '<ol class="space-y-1 ml-5 list-decimal">'; inOrderedList = true; }
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html += `<li>${inlineMd(line.replace(/^\d+\. /, ''))}</li>`;
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} else if (line.trim() === '') {
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if (inList) { html += '</ul>'; inList = false; }
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if (inOrderedList) { html += '</ol>'; inOrderedList = false; }
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html += '';
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} else {
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if (inList) { html += '</ul>'; inList = false; }
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if (inOrderedList) { html += '</ol>'; inOrderedList = false; }
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html += `<p class="mb-2">${inlineMd(line)}</p>`;
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}
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}
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if (inList) html += '</ul>';
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if (inOrderedList) html += '</ol>';
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return html;
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}
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/** 行内 Markdown:粗体、行内代码、链接 */
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function inlineMd(text) {
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// 转义 HTML
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text = escapeHtml(text);
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// 粗体 **text**
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text = text.replace(/\*\*(.+?)\*\*/g, '<strong class="font-semibold text-gray-900">$1</strong>');
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// 行内代码 `code`
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text = text.replace(/`(.+?)`/g, '<code class="bg-gray-100 px-1 rounded text-xs">$1</code>');
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return text;
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}
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function renderParadigm(data) {
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const result = document.getElementById('paradigm-result');
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const stageColors = {
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