feat: 2026-07-12~13 全量更新 - AI对话链路改造+H5 v4/v5+坐席端v5+上下文感知诊断+知识库迭代3
## H5 员工端 v4 (2026-07-13 00:48 已部署)
- 人工按钮三态文案统一为"人工坐席"
- 按钮位置移至发送键和语音按钮上方(垂直堆叠)
- 点按钮直接调 store.shakeAgent()，删除 CallAgentModal 弹窗动画
- 截图快捷键提示改为"截图->粘贴：Alt+Shift+A-Ctrl+V ---> Ctrl+V"
- 移动端隐藏截图提示(CSS 媒体查询)
- AI转人工提示改为"已为您呼叫人工坐席，请稍等!"
- 坐席接入提示改为"坐席正在查看您的信息，请等待处理回复！"
- 删除"摇铃呼叫坐席"入口和文案
- 删除孤儿组件 MessageList.vue + shake 动画 CSS
## H5 员工端 v5 (2026-07-13 02:08 已部署)
- RightPanel v2.1：删除"软件安装"和"资源权限"标签页
- 移除标签栏，智能推荐(DynamicRecommend)直接展示
- 删除 SoftwareDownloads/ApprovalLinks 引用和相关 CSS
## AI 对话链路全栈改造 Phase 1-6 (已部署)
- Phase 1: Dify JSON输出 + 后端blocking解析 + 双WS推送 + 错误降级
- Phase 2: 关键词收窄(~25强意图词) + 两级分类Prompt + 删除前端checkApprovalIntent
- Phase 3: WS扩展(ai_thinking+dynamic_recommend) + ai_structured气泡 + RightPanel v2 + 选项回传
- Phase 4: VisionService接入 + 图片消息融合(5秒窗口) + 降级策略
- Phase 5: 坐席端ai_thinking指示器 + ai_structured/byod_card渲染 + handleNewMessage修复
- Phase 6: diagnosis_stage(6值) + response_time_ms计时 + 慢响应告警(>10s)
## 坐席端 v5 (2026-07-13 01:38 已部署)
- ai_structured/byod_card 只读渲染
- AI思考指示器 UI
- handleNewMessage 透传 msg_type/extra_data 修复
- 布局优化v2.0: QuickReplyBar L1+L2悬浮 + ReplyBox左右分区 + 右栏260/560px切换
- 键盘快捷键v2.3: 纯数字路由 + ESC分层撤销 + Shift+Space用event.code
## 上下文感知智能诊断闭环 (2026-07-12 已部署)
- 三层诊断(API→Script→AI) + 三段排队(VIP→info_locked→not locked)
- 答题插队 + 五场景关闭
- 迁移052(6表+6列) + queue_service + quiz_service + closing_service
- H5前端: QueueWaiting + RightPanel双Tab + InputBar三态 + ResolveConfirmCard
- 坐席前端: pending_close结单流程 + 信息锁定(Dify步骤完成+有效回答率≥70%)
## 知识库迭代3 (2026-07-12 已部署)
- 分诊交互(H5+坐席+Dify独立应用)
- 拓扑预览(ECharts只读)
- 代答排除(4种匹配器: keyword/regex/intent/category)
- 迁移051 + 44文件43测试通过
## 后端变更
- 6个Python文件改造(h5_ai_task.py/h5.py/ai_service.py/closing_service.py等)
- funny_phrase_service.py: shake/connected/keyword 默认文案更新
- session_service.py: 企微消息文案同步
- 新增: queue.py/quiz.py/triage.py/exclusion_rules.py 等API端点
- 新增: diagnostic.py/quiz.py/triage_session.py 等模型
- 新增: closing_service/queue_service/quiz_service/triage_service 等服务
## 文档更新
- CHANGELOG.md: 新增 [未发布] 区全部变更记录
- 项目管理主文档 v2.5: 新增v0.7.3版本 + 已完成看板 + 最近搞定
- 版本记录: 新增v0.7.3条目
- AI对话链路实施计划: Phase 1-6 全部标记✅已实施
- 新增架构图/时序图/类图(mermaid)
## 部署路径修正
- 服务器项目根路径: /opt/wecom-it-desk/
- 所有前端dist均为ro bind mount，只能在宿主机源路径操作
- 服务器nginx /h5/ 是静态文件服务(非proxy_pass)
- elFinder上传二进制不可靠(MD5不匹配)，改用base64分块上传
This commit is contained in:
Simon
@@ -0,0 +1,221 @@
|
||||
# =============================================================================
|
||||
# 企微IT智能服务台 — 答题与积分模型
|
||||
# =============================================================================
|
||||
# 说明：包含3张表，支撑排队等待期间的答题+积分系统：
|
||||
# 1. quiz_questions: IT知识题库（7类×10题=70题起步）
|
||||
# 2. quiz_answers: 答题记录（每次答题一条记录）
|
||||
# 3. employee_points: 员工积分账户（跨会话累积，5级等级体系）
|
||||
#
|
||||
# 答题双模式：
|
||||
# 模式A（info_locked=false）— 诊断题：与当前问题相关的选择题，答案附加到会话上下文
|
||||
# 模式B（info_locked=true） — IT知识题：纯教育性质，提升IT素养
|
||||
#
|
||||
# 插队规则：
|
||||
# queue_priority = min(quiz_answered_count // 3, 2) # 每答3题前移1位，上限2位
|
||||
# 积分规则：
|
||||
# 答对 +10分，答错不扣分，跨会话累积
|
||||
# 0-99 IT小白 → 100-299 IT入门 → 300-599 IT达人 → 600-999 IT专家 → 1000+ IT大师
|
||||
# =============================================================================
|
||||
|
||||
import uuid
|
||||
from datetime import datetime
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
from sqlalchemy import Boolean, DateTime, Index, Integer, JSON, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.database import Base
|
||||
|
||||
|
||||
class QuizQuestion(Base):
|
||||
"""IT知识题库 — 排队等待期间向员工推送的选择题。
|
||||
|
||||
分为两类（通过 type 字段区分）：
|
||||
- knowledge: IT知识题（模式B，info_locked=true时推送）
|
||||
- diagnostic: 诊断题（模式A，info_locked=false时推送，答案附加到会话上下文）
|
||||
|
||||
诊断题按 problem_category 组织，每类3-5题。
|
||||
知识题按 category 组织，每类10题。
|
||||
|
||||
Attributes:
|
||||
id: 题目唯一标识（UUID）
|
||||
type: 题目类型（knowledge=IT知识题 / diagnostic=诊断题）
|
||||
category: 题目类别（network/vpn/email/system/printer/security/office）
|
||||
problem_category: 诊断题对应的问题类别（仅diagnostic类型有效，如"vpn_disconnect"）
|
||||
difficulty: 难度（easy/medium/hard）
|
||||
question: 题目文本
|
||||
options: 选项数组（JSON，["选项A", "选项B", "选项C", "选项D"]）
|
||||
correct_index: 正确答案索引（0-3）
|
||||
explanation: 答案解析
|
||||
is_active: 是否启用
|
||||
created_at: 创建时间
|
||||
"""
|
||||
|
||||
__tablename__ = "quiz_questions"
|
||||
|
||||
id: Mapped[str] = mapped_column(
|
||||
String(36), primary_key=True, default=lambda: str(uuid.uuid4())
|
||||
)
|
||||
type: Mapped[str] = mapped_column(
|
||||
String(20), nullable=False, default="knowledge",
|
||||
comment="题目类型: knowledge(IT知识题) / diagnostic(诊断题)"
|
||||
)
|
||||
category: Mapped[str] = mapped_column(
|
||||
String(50), nullable=False,
|
||||
comment="题目类别: network/vpn/email/system/printer/security/office"
|
||||
)
|
||||
problem_category: Mapped[Optional[str]] = mapped_column(
|
||||
String(100), nullable=True,
|
||||
comment="诊断题对应的问题类别（仅diagnostic类型有效）"
|
||||
)
|
||||
difficulty: Mapped[str] = mapped_column(
|
||||
String(20), nullable=False, default="medium",
|
||||
comment="难度: easy/medium/hard"
|
||||
)
|
||||
question: Mapped[str] = mapped_column(
|
||||
Text, nullable=False, comment="题目文本"
|
||||
)
|
||||
options: Mapped[list] = mapped_column(
|
||||
JSON, nullable=False, comment="选项数组: ['选项A', '选项B', ...]"
|
||||
)
|
||||
correct_index: Mapped[int] = mapped_column(
|
||||
Integer, nullable=False, comment="正确答案索引(0-based)"
|
||||
)
|
||||
explanation: Mapped[Optional[str]] = mapped_column(
|
||||
Text, nullable=True, comment="答案解析"
|
||||
)
|
||||
is_active: Mapped[bool] = mapped_column(
|
||||
Boolean, nullable=False, default=True, comment="是否启用"
|
||||
)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), nullable=False, default=datetime.now,
|
||||
comment="创建时间"
|
||||
)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_quiz_q_type", "type"),
|
||||
Index("idx_quiz_q_category", "category"),
|
||||
Index("idx_quiz_q_active", "is_active"),
|
||||
)
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f"<QuizQuestion(id={self.id}, type={self.type}, category={self.category})>"
|
||||
|
||||
|
||||
class QuizAnswer(Base):
|
||||
"""答题记录 — 每次答题一条记录。
|
||||
|
||||
Attributes:
|
||||
id: 记录ID
|
||||
employee_id: 员工ID
|
||||
conversation_id: 关联会话ID（可空，非排队时答题无会话）
|
||||
question_id: 题目ID
|
||||
selected_index: 员工选择的答案索引
|
||||
is_correct: 是否答对
|
||||
points_earned: 获得积分（答对=10，答错=0）
|
||||
created_at: 答题时间
|
||||
"""
|
||||
|
||||
__tablename__ = "quiz_answers"
|
||||
|
||||
id: Mapped[str] = mapped_column(
|
||||
String(36), primary_key=True, default=lambda: str(uuid.uuid4())
|
||||
)
|
||||
employee_id: Mapped[str] = mapped_column(
|
||||
String(64), nullable=False, comment="员工ID"
|
||||
)
|
||||
conversation_id: Mapped[Optional[str]] = mapped_column(
|
||||
String(36), nullable=True, comment="关联会话ID"
|
||||
)
|
||||
question_id: Mapped[str] = mapped_column(
|
||||
String(36), nullable=False, comment="题目ID"
|
||||
)
|
||||
selected_index: Mapped[int] = mapped_column(
|
||||
Integer, nullable=False, comment="选择的答案索引"
|
||||
)
|
||||
is_correct: Mapped[bool] = mapped_column(
|
||||
Boolean, nullable=False, comment="是否答对"
|
||||
)
|
||||
points_earned: Mapped[int] = mapped_column(
|
||||
Integer, nullable=False, default=0, comment="获得积分"
|
||||
)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), nullable=False, default=datetime.now,
|
||||
comment="答题时间"
|
||||
)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_quiz_a_employee", "employee_id"),
|
||||
Index("idx_quiz_a_conversation", "conversation_id"),
|
||||
Index("idx_quiz_a_created", "created_at"),
|
||||
)
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f"<QuizAnswer(id={self.id}, employee={self.employee_id}, correct={self.is_correct})>"
|
||||
|
||||
|
||||
class EmployeePoints(Base):
|
||||
"""员工积分账户 — 跨会话累积，5级等级体系。
|
||||
|
||||
积分规则：答对一题 +10分，答错不扣分。
|
||||
等级体系：
|
||||
0-99 IT小白 (灰色)
|
||||
100-299 IT入门 (蓝色)
|
||||
300-599 IT达人 (绿色)
|
||||
600-999 IT专家 (琥珀)
|
||||
1000+ IT大师 (珊瑚红)
|
||||
|
||||
Attributes:
|
||||
employee_id: 员工ID（主键）
|
||||
total_points: 累计积分
|
||||
answered_count: 答题总数
|
||||
correct_count: 答对总数
|
||||
level: 当前等级名称
|
||||
updated_at: 最后更新时间
|
||||
"""
|
||||
|
||||
__tablename__ = "employee_points"
|
||||
|
||||
employee_id: Mapped[str] = mapped_column(
|
||||
String(64), primary_key=True, comment="员工ID"
|
||||
)
|
||||
total_points: Mapped[int] = mapped_column(
|
||||
Integer, nullable=False, default=0, comment="累计积分"
|
||||
)
|
||||
answered_count: Mapped[int] = mapped_column(
|
||||
Integer, nullable=False, default=0, comment="答题总数"
|
||||
)
|
||||
correct_count: Mapped[int] = mapped_column(
|
||||
Integer, nullable=False, default=0, comment="答对总数"
|
||||
)
|
||||
level: Mapped[str] = mapped_column(
|
||||
String(20), nullable=False, default="IT小白", comment="当前等级"
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), nullable=False, default=datetime.now,
|
||||
onupdate=datetime.now, comment="最后更新时间"
|
||||
)
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f"<EmployeePoints(employee={self.employee_id}, points={self.total_points}, level={self.level})>"
|
||||
|
||||
@staticmethod
|
||||
def calculate_level(points: int) -> str:
|
||||
"""根据积分计算等级名称。
|
||||
|
||||
Args:
|
||||
points: 当前累计积分
|
||||
|
||||
Returns:
|
||||
等级名称字符串
|
||||
"""
|
||||
if points >= 1000:
|
||||
return "IT大师"
|
||||
elif points >= 600:
|
||||
return "IT专家"
|
||||
elif points >= 300:
|
||||
return "IT达人"
|
||||
elif points >= 100:
|
||||
return "IT入门"
|
||||
else:
|
||||
return "IT小白"
|
||||
Reference in New Issue
Block a user