feat: 实现 KPL 系统功能改进计划
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1. 课程学习进度追踪
   - 新增 UserCourseProgress 和 UserMaterialProgress 模型
   - 新增 /api/v1/progress/* 进度追踪 API
   - 更新 admin.py 使用真实课程完成率数据

2. 路由权限检查完善
   - 新增前端 permissionChecker.ts 权限检查工具
   - 更新 router/guard.ts 实现团队和课程权限验证
   - 新增后端 permission_service.py

3. AI 陪练音频转文本
   - 新增 speech_recognition.py 语音识别服务
   - 新增 /api/v1/speech/* API
   - 更新 ai-practice-coze.vue 支持语音输入

4. 双人对练报告生成
   - 更新 practice_room_service.py 添加报告生成功能
   - 新增 /rooms/{room_code}/report API
   - 更新 duo-practice-report.vue 调用真实 API

5. 学习提醒推送
   - 新增 notification_service.py 通知服务
   - 新增 scheduler_service.py 定时任务服务
   - 支持钉钉、企微、站内消息推送

6. 智能学习推荐
   - 新增 recommendation_service.py 推荐服务
   - 新增 /api/v1/recommendations/* API
   - 支持错题、能力、进度、热门多维度推荐

7. 安全问题修复
   - DEBUG 默认值改为 False
   - 添加 SECRET_KEY 安全警告
   - 新增 check_security_settings() 检查函数

8. 证书 PDF 生成
   - 更新 certificate_service.py 添加 PDF 生成
   - 添加 weasyprint、Pillow、qrcode 依赖
   - 更新下载 API 支持 PDF 和 PNG 格式
This commit is contained in:
yuliang_guo
2026-01-30 14:22:35 +08:00
parent 9793013a56
commit 64f5d567fa
66 changed files with 18067 additions and 14330 deletions

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@@ -1,207 +1,207 @@
"""
双人对练评估提示词模板
功能:评估双人角色扮演对练的表现
"""
# ==================== 元数据 ====================
PROMPT_META = {
"name": "duo_practice_analysis",
"display_name": "双人对练评估",
"description": "评估双人角色扮演对练中双方的表现",
"module": "kaopeilian",
"variables": [
"scene_name", "scene_background",
"role_a_name", "role_b_name",
"role_a_description", "role_b_description",
"user_a_name", "user_b_name",
"dialogue_history",
"duration_seconds", "total_turns"
],
"version": "1.0.0",
"author": "kaopeilian-team",
}
# ==================== 系统提示词 ====================
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。
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。
评估原则:
1. 客观公正,基于对话内容给出评价
2. 突出亮点,指出不足
3. 给出具体、可操作的改进建议
4. 考虑角色特点,评估角色代入度
输出格式要求:
- 必须返回有效的 JSON 格式
- 分数范围 0-100
- 建议具体可行"""
# ==================== 用户提示词模板 ====================
USER_PROMPT = """# 双人对练评估任务
## 场景信息
- **场景名称**{scene_name}
- **场景背景**{scene_background}
## 角色设置
### {role_a_name}
- **扮演者**{user_a_name}
- **角色描述**{role_a_description}
### {role_b_name}
- **扮演者**{user_b_name}
- **角色描述**{role_b_description}
## 对练数据
- **对练时长**{duration_seconds}
- **总对话轮次**{total_turns}
## 对话记录
{dialogue_history}
---
## 评估要求
请按以下 JSON 格式输出评估结果:
```json
{{
"overall_evaluation": {{
"interaction_quality": 85,
"scene_restoration": 80,
"overall_comment": "整体评价..."
}},
"user_a_evaluation": {{
"user_name": "{user_a_name}",
"role_name": "{role_a_name}",
"total_score": 85,
"dimensions": {{
"role_immersion": {{
"score": 85,
"comment": "角色代入度评价..."
}},
"communication": {{
"score": 80,
"comment": "沟通表达能力评价..."
}},
"professional_knowledge": {{
"score": 75,
"comment": "专业知识运用评价..."
}},
"response_quality": {{
"score": 82,
"comment": "回应质量评价..."
}},
"goal_achievement": {{
"score": 78,
"comment": "目标达成度评价..."
}}
}},
"highlights": [
"亮点1...",
"亮点2..."
],
"improvements": [
{{
"issue": "问题描述",
"suggestion": "改进建议",
"example": "示例话术"
}}
]
}},
"user_b_evaluation": {{
"user_name": "{user_b_name}",
"role_name": "{role_b_name}",
"total_score": 82,
"dimensions": {{
"role_immersion": {{
"score": 80,
"comment": "角色代入度评价..."
}},
"communication": {{
"score": 85,
"comment": "沟通表达能力评价..."
}},
"professional_knowledge": {{
"score": 78,
"comment": "专业知识运用评价..."
}},
"response_quality": {{
"score": 80,
"comment": "回应质量评价..."
}},
"goal_achievement": {{
"score": 75,
"comment": "目标达成度评价..."
}}
}},
"highlights": [
"亮点1...",
"亮点2..."
],
"improvements": [
{{
"issue": "问题描述",
"suggestion": "改进建议",
"example": "示例话术"
}}
]
}},
"dialogue_annotations": [
{{
"sequence": 1,
"speaker": "{role_a_name}",
"tags": ["good_opening"],
"comment": "开场白自然得体"
}},
{{
"sequence": 3,
"speaker": "{role_b_name}",
"tags": ["needs_improvement"],
"comment": "可以更主动表达需求"
}}
]
}}
```
请基于对话内容,给出客观、专业的评估。"""
# ==================== 维度说明 ====================
DIMENSION_DESCRIPTIONS = {
"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",
"communication": "沟通表达:语言是否清晰、逻辑是否通顺、表达是否得体",
"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",
"response_quality": "回应质量:对对方发言的回应是否及时、恰当、有针对性",
"goal_achievement": "目标达成:是否朝着对练目标推进,是否达成预期效果"
}
# ==================== 对话标签 ====================
DIALOGUE_TAGS = {
# 正面标签
"good_opening": "开场良好",
"active_listening": "积极倾听",
"empathy": "共情表达",
"professional": "专业表现",
"good_closing": "结束得体",
"creative_response": "创意回应",
"problem_solving": "问题解决",
# 需改进标签
"needs_improvement": "需要改进",
"off_topic": "偏离主题",
"too_passive": "过于被动",
"lack_detail": "缺乏细节",
"missed_opportunity": "错失机会",
"unclear_expression": "表达不清"
}
"""
双人对练评估提示词模板
功能:评估双人角色扮演对练的表现
"""
# ==================== 元数据 ====================
PROMPT_META = {
"name": "duo_practice_analysis",
"display_name": "双人对练评估",
"description": "评估双人角色扮演对练中双方的表现",
"module": "kaopeilian",
"variables": [
"scene_name", "scene_background",
"role_a_name", "role_b_name",
"role_a_description", "role_b_description",
"user_a_name", "user_b_name",
"dialogue_history",
"duration_seconds", "total_turns"
],
"version": "1.0.0",
"author": "kaopeilian-team",
}
# ==================== 系统提示词 ====================
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。
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。
评估原则:
1. 客观公正,基于对话内容给出评价
2. 突出亮点,指出不足
3. 给出具体、可操作的改进建议
4. 考虑角色特点,评估角色代入度
输出格式要求:
- 必须返回有效的 JSON 格式
- 分数范围 0-100
- 建议具体可行"""
# ==================== 用户提示词模板 ====================
USER_PROMPT = """# 双人对练评估任务
## 场景信息
- **场景名称**{scene_name}
- **场景背景**{scene_background}
## 角色设置
### {role_a_name}
- **扮演者**{user_a_name}
- **角色描述**{role_a_description}
### {role_b_name}
- **扮演者**{user_b_name}
- **角色描述**{role_b_description}
## 对练数据
- **对练时长**{duration_seconds}
- **总对话轮次**{total_turns}
## 对话记录
{dialogue_history}
---
## 评估要求
请按以下 JSON 格式输出评估结果:
```json
{{
"overall_evaluation": {{
"interaction_quality": 85,
"scene_restoration": 80,
"overall_comment": "整体评价..."
}},
"user_a_evaluation": {{
"user_name": "{user_a_name}",
"role_name": "{role_a_name}",
"total_score": 85,
"dimensions": {{
"role_immersion": {{
"score": 85,
"comment": "角色代入度评价..."
}},
"communication": {{
"score": 80,
"comment": "沟通表达能力评价..."
}},
"professional_knowledge": {{
"score": 75,
"comment": "专业知识运用评价..."
}},
"response_quality": {{
"score": 82,
"comment": "回应质量评价..."
}},
"goal_achievement": {{
"score": 78,
"comment": "目标达成度评价..."
}}
}},
"highlights": [
"亮点1...",
"亮点2..."
],
"improvements": [
{{
"issue": "问题描述",
"suggestion": "改进建议",
"example": "示例话术"
}}
]
}},
"user_b_evaluation": {{
"user_name": "{user_b_name}",
"role_name": "{role_b_name}",
"total_score": 82,
"dimensions": {{
"role_immersion": {{
"score": 80,
"comment": "角色代入度评价..."
}},
"communication": {{
"score": 85,
"comment": "沟通表达能力评价..."
}},
"professional_knowledge": {{
"score": 78,
"comment": "专业知识运用评价..."
}},
"response_quality": {{
"score": 80,
"comment": "回应质量评价..."
}},
"goal_achievement": {{
"score": 75,
"comment": "目标达成度评价..."
}}
}},
"highlights": [
"亮点1...",
"亮点2..."
],
"improvements": [
{{
"issue": "问题描述",
"suggestion": "改进建议",
"example": "示例话术"
}}
]
}},
"dialogue_annotations": [
{{
"sequence": 1,
"speaker": "{role_a_name}",
"tags": ["good_opening"],
"comment": "开场白自然得体"
}},
{{
"sequence": 3,
"speaker": "{role_b_name}",
"tags": ["needs_improvement"],
"comment": "可以更主动表达需求"
}}
]
}}
```
请基于对话内容,给出客观、专业的评估。"""
# ==================== 维度说明 ====================
DIMENSION_DESCRIPTIONS = {
"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",
"communication": "沟通表达:语言是否清晰、逻辑是否通顺、表达是否得体",
"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",
"response_quality": "回应质量:对对方发言的回应是否及时、恰当、有针对性",
"goal_achievement": "目标达成:是否朝着对练目标推进,是否达成预期效果"
}
# ==================== 对话标签 ====================
DIALOGUE_TAGS = {
# 正面标签
"good_opening": "开场良好",
"active_listening": "积极倾听",
"empathy": "共情表达",
"professional": "专业表现",
"good_closing": "结束得体",
"creative_response": "创意回应",
"problem_solving": "问题解决",
# 需改进标签
"needs_improvement": "需要改进",
"off_topic": "偏离主题",
"too_passive": "过于被动",
"lack_detail": "缺乏细节",
"missed_opportunity": "错失机会",
"unclear_expression": "表达不清"
}