- 新增数据库迁移脚本 (practice_rooms, practice_room_messages) - 新增后端 API: 房间创建/加入/消息同步/报告生成 - 新增前端页面: 入口页/对练房间/报告页 - 新增 AI 双人评估服务和提示词
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yuliang_guo
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backend/app/services/ai/prompts/duo_practice_prompts.py
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backend/app/services/ai/prompts/duo_practice_prompts.py
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"""
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双人对练评估提示词模板
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功能：评估双人角色扮演对练的表现
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"""
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# ==================== 元数据 ====================
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PROMPT_META = {
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"name": "duo_practice_analysis",
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"display_name": "双人对练评估",
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"description": "评估双人角色扮演对练中双方的表现",
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"module": "kaopeilian",
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"variables": [
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"scene_name", "scene_background",
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"role_a_name", "role_b_name",
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"role_a_description", "role_b_description",
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"user_a_name", "user_b_name",
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"dialogue_history",
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"duration_seconds", "total_turns"
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],
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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 = """你是一位资深的销售培训专家和沟通教练，擅长评估角色扮演对练的表现。
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你需要观察双人对练的对话记录，分别对两位参与者的表现进行专业评估。
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评估原则：
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1. 客观公正，基于对话内容给出评价
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2. 突出亮点，指出不足
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3. 给出具体、可操作的改进建议
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4. 考虑角色特点，评估角色代入度
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输出格式要求：
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- 必须返回有效的 JSON 格式
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- 分数范围 0-100
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- 建议具体可行"""
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# ==================== 用户提示词模板 ====================
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USER_PROMPT = """# 双人对练评估任务
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## 场景信息
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- **场景名称**：{scene_name}
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- **场景背景**：{scene_background}
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## 角色设置
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### {role_a_name}
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- **扮演者**：{user_a_name}
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- **角色描述**：{role_a_description}
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### {role_b_name}
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- **扮演者**：{user_b_name}
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- **角色描述**：{role_b_description}
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## 对练数据
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- **对练时长**：{duration_seconds} 秒
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- **总对话轮次**：{total_turns} 轮
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## 对话记录
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{dialogue_history}
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---
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## 评估要求
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请按以下 JSON 格式输出评估结果：
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```json
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{{
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"overall_evaluation": {{
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"interaction_quality": 85,
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"scene_restoration": 80,
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"overall_comment": "整体评价..."
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}},
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"user_a_evaluation": {{
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"user_name": "{user_a_name}",
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"role_name": "{role_a_name}",
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"total_score": 85,
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"dimensions": {{
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"role_immersion": {{
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"score": 85,
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"comment": "角色代入度评价..."
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}},
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"communication": {{
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"score": 80,
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"comment": "沟通表达能力评价..."
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}},
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"professional_knowledge": {{
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"score": 75,
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"comment": "专业知识运用评价..."
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}},
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"response_quality": {{
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"score": 82,
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"comment": "回应质量评价..."
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}},
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"goal_achievement": {{
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"score": 78,
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"comment": "目标达成度评价..."
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}}
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}},
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"highlights": [
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"亮点1...",
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"亮点2..."
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],
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"improvements": [
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{{
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"issue": "问题描述",
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"suggestion": "改进建议",
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"example": "示例话术"
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}}
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]
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}},
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"user_b_evaluation": {{
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"user_name": "{user_b_name}",
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"role_name": "{role_b_name}",
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"total_score": 82,
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"dimensions": {{
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"role_immersion": {{
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"score": 80,
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"comment": "角色代入度评价..."
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}},
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"communication": {{
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"score": 85,
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"comment": "沟通表达能力评价..."
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}},
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"professional_knowledge": {{
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"score": 78,
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"comment": "专业知识运用评价..."
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}},
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"response_quality": {{
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"score": 80,
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"comment": "回应质量评价..."
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}},
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"goal_achievement": {{
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"score": 75,
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"comment": "目标达成度评价..."
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}}
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}},
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"highlights": [
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"亮点1...",
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"亮点2..."
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],
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"improvements": [
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{{
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"issue": "问题描述",
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"suggestion": "改进建议",
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"example": "示例话术"
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}}
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]
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}},
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"dialogue_annotations": [
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{{
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"sequence": 1,
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"speaker": "{role_a_name}",
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"tags": ["good_opening"],
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"comment": "开场白自然得体"
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}},
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{{
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"sequence": 3,
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"speaker": "{role_b_name}",
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"tags": ["needs_improvement"],
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"comment": "可以更主动表达需求"
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}}
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]
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}}
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```
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请基于对话内容，给出客观、专业的评估。"""
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# ==================== 维度说明 ====================
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DIMENSION_DESCRIPTIONS = {
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"role_immersion": "角色代入度：是否完全进入角色，语言风格、态度是否符合角色设定",
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"communication": "沟通表达：语言是否清晰、逻辑是否通顺、表达是否得体",
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"professional_knowledge": "专业知识：是否展现出角色应有的专业素养和知识储备",
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"response_quality": "回应质量：对对方发言的回应是否及时、恰当、有针对性",
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"goal_achievement": "目标达成：是否朝着对练目标推进，是否达成预期效果"
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}
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# ==================== 对话标签 ====================
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DIALOGUE_TAGS = {
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# 正面标签
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"good_opening": "开场良好",
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"active_listening": "积极倾听",
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"empathy": "共情表达",
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"professional": "专业表现",
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"good_closing": "结束得体",
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"creative_response": "创意回应",
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"problem_solving": "问题解决",
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# 需改进标签
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"needs_improvement": "需要改进",
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"off_topic": "偏离主题",
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"too_passive": "过于被动",
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"lack_detail": "缺乏细节",
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"missed_opportunity": "错失机会",
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"unclear_expression": "表达不清"
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}
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