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更新内容： - 后端 AI 服务优化（能力分析、知识点解析等） - 前端考试和陪练界面更新 - 修复多个 prompt 和 JSON 解析问题 - 更新 Coze 语音客户端
221 lines
7.3 KiB
Python
221 lines
7.3 KiB
Python
"""
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智能工牌能力分析与课程推荐提示词模板
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功能：分析员工与顾客的对话记录，评估能力维度得分，并推荐适合的课程
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"""
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# ==================== 元数据 ====================
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PROMPT_META = {
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"name": "ability_analysis",
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"display_name": "智能工牌能力分析",
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"description": "分析员工与顾客对话，评估多维度能力得分，推荐个性化课程",
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"module": "kaopeilian",
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"variables": ["dialogue_history", "user_info", "courses"],
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"version": "1.0.0",
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"author": "kaopeilian-team",
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}
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# ==================== 系统提示词 ====================
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SYSTEM_PROMPT = """你是话术分析专家，用户是一家轻医美连锁品牌的员工，用户提交的是用户自己与顾客的对话记录，你做分析与评分。并严格按照以下格式输出。并根据课程列表，为该用户提供选课建议。
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输出标准：
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{
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"analysis": {
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"total_score": 82,
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"ability_dimensions": [
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{
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"name": "专业知识",
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"score": 88,
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"feedback": "产品知识扎实，能准确回答客户问题。建议：继续深化对新产品的了解。"
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},
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{
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"name": "沟通技巧",
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"score": 92,
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"feedback": "语言表达清晰流畅，善于倾听客户需求。建议：可以多使用开放式问题引导。"
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},
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{
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"name": "操作技能",
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"score": 85,
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"feedback": "基本操作熟练，流程规范。建议：提升复杂场景的应对速度。"
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},
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{
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"name": "客户服务",
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"score": 90,
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"feedback": "服务态度优秀，客户体验良好。建议：进一步提升个性化服务能力。"
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},
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{
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"name": "安全意识",
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"score": 79,
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"feedback": "基本安全规范掌握，但在细节提醒上还可加强。"
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},
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{
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"name": "应变能力",
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"score": 76,
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"feedback": "面对突发情况反应较快，但处理方式可以更灵活多样。"
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}
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],
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"course_recommendations": [
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{
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"course_id": 5,
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"course_name": "应变能力提升训练营",
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"recommendation_reason": "该课程专注于提升应变能力，包含大量实战案例分析和模拟演练，针对您当前的薄弱环节（应变能力76分）设计。通过学习可提升15分左右。",
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"priority": "high",
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"match_score": 95
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},
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{
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"course_id": 3,
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"course_name": "安全规范与操作标准",
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"recommendation_reason": "系统讲解安全规范和操作标准，通过案例教学帮助建立安全意识。当前您的安全意识得分为79分，通过本课程学习预计可提升12分。",
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"priority": "high",
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"match_score": 88
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},
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{
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"course_id": 7,
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"course_name": "高级销售技巧",
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"recommendation_reason": "进阶课程，帮助您将已有的沟通优势（92分）转化为更高级的销售技能，进一步巩固客户服务能力（90分）。",
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"priority": "medium",
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"match_score": 82
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}
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]
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}
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}
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## 输出要求（严格执行）
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1. 直接输出纯净的 JSON，不要包含 Markdown 标记（如 ```json）
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2. 不要包含任何解释性文字
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3. 能力维度必须包含：专业知识、沟通技巧、操作技能、客户服务、安全意识、应变能力
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4. 课程推荐必须来自提供的课程列表，使用真实的 course_id
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5. 推荐课程数量：1-5个，优先推荐能补齐短板的课程
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6. priority 取值：high（得分<80的薄弱项）、medium（得分80-85）、low（锦上添花）
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## 评分标准
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- 90-100：优秀
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- 80-89：良好
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- 70-79：一般
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- 60-69：需改进
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- <60：亟需提升"""
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# ==================== 用户提示词模板 ====================
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USER_PROMPT = """对话记录：{dialogue_history}
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---
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用户的信息和岗位：{user_info}
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---
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所有可选课程：{courses}"""
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# ==================== JSON Schema ====================
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ABILITY_ANALYSIS_SCHEMA = {
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"type": "object",
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"required": ["analysis"],
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"properties": {
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"analysis": {
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"type": "object",
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"required": ["total_score", "ability_dimensions", "course_recommendations"],
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"properties": {
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"total_score": {
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"type": "number",
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"description": "总体评分（0-100）",
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"minimum": 0,
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"maximum": 100
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},
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"ability_dimensions": {
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"type": "array",
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"description": "能力维度评分列表",
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"items": {
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"type": "object",
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"required": ["name", "score", "feedback"],
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"properties": {
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"name": {
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"type": "string",
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"description": "能力维度名称"
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},
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"score": {
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"type": "number",
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"description": "该维度得分（0-100）",
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"minimum": 0,
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"maximum": 100
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},
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"feedback": {
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"type": "string",
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"description": "该维度的反馈和建议"
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}
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}
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},
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"minItems": 1
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},
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"course_recommendations": {
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"type": "array",
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"description": "课程推荐列表",
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"items": {
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"type": "object",
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"required": ["course_id", "course_name", "recommendation_reason", "priority", "match_score"],
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"properties": {
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"course_id": {
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"type": "integer",
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"description": "课程ID"
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},
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"course_name": {
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"type": "string",
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"description": "课程名称"
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},
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"recommendation_reason": {
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"type": "string",
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"description": "推荐理由"
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},
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"priority": {
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"type": "string",
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"description": "推荐优先级",
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"enum": ["high", "medium", "low"]
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},
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"match_score": {
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"type": "number",
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"description": "匹配度得分（0-100）",
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"minimum": 0,
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"maximum": 100
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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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}
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}
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# ==================== 能力维度常量 ====================
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ABILITY_DIMENSIONS = [
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"专业知识",
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"沟通技巧",
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"操作技能",
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"客户服务",
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"安全意识",
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"应变能力",
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]
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PRIORITY_LEVELS = ["high", "medium", "low"]
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