v0.2.0: CRM/ERP 系统升级 - 清理 .gitignore 并移除误提交的 venv/env/db 文件

- 更新 .gitignore：全面覆盖环境变量、数据库、日志、缓存、上传文件
- 移除误跟踪的 server/venv/、crm_data.db、.env 文件
- 新增 server/.env.example 模板
- 新增合同管理、利润核算、AI教练等功能模块
- 新增 Playwright e2e 测试套件
- 前后端多项功能升级和 bug 修复

server/app/models/ai.py

@@ -7,7 +7,7 @@ import uuid
 from datetime import date, datetime
 
 from sqlalchemy import Boolean, Date, DateTime, ForeignKey, SmallInteger, String, Text, func
-from sqlalchemy.dialects.postgresql import UUID, JSONB
+from sqlalchemy.dialects.postgresql import UUID, JSONB, ARRAY
 from sqlalchemy.orm import Mapped, mapped_column
 
 from app.models.base import Base
@@ -30,11 +30,19 @@ class SalesLog(Base):
 
     id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
     salesperson_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("sys_users.id"), nullable=False)
+    involved_company_ids: Mapped[list] = mapped_column(
+        ARRAY(UUID(as_uuid=True)), nullable=False, default=list,
+        comment="该篇日志涉及的公司ID列表"
+    )
     customer_id: Mapped[uuid.UUID | None] = mapped_column(UUID(as_uuid=True), ForeignKey("crm_customers.id"), nullable=True)
     content: Mapped[str] = mapped_column(Text, nullable=False)
     log_date: Mapped[date] = mapped_column(Date, default=date.today)
     contact_ids: Mapped[list | None] = mapped_column(JSONB, default=list, nullable=True)
     ai_processed: Mapped[bool] = mapped_column(Boolean, default=False)
+    ai_coaching_feedback: Mapped[dict | None] = mapped_column(
+        JSONB, default=dict, nullable=True,
+        comment="AI 教练引擎回写的指导反馈"
+    )
     created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
     updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now(), onupdate=func.now())
     is_deleted: Mapped[bool] = mapped_column(Boolean, default=False)
@@ -53,3 +61,20 @@ class AiReportDraft(Base):
     created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
     updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now(), onupdate=func.now())
     is_deleted: Mapped[bool] = mapped_column(Boolean, default=False)
+
+
+class KbObsidianVector(Base):
+    """知识库向量表 —— pgvector 存储 Obsidian 文档分块向量"""
+    __tablename__ = "kb_obsidian_vectors"
+
+    id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+    company_id: Mapped[uuid.UUID] = mapped_column(
+        UUID(as_uuid=True), ForeignKey("sys_companies.id"), nullable=False, index=True
+    )
+    source_path: Mapped[str] = mapped_column(String(500), nullable=False, comment="源文件路径")
+    chunk_index: Mapped[int] = mapped_column(SmallInteger, default=0)
+    content: Mapped[str] = mapped_column(Text, nullable=False)
+    metadata_: Mapped[dict | None] = mapped_column("metadata", JSONB, default=dict)
+    # 向量字段使用 raw SQL 创建（vector(1536)）因 SQLAlchemy 无原生 pgvector 类型
+    created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
+    is_deleted: Mapped[bool] = mapped_column(Boolean, default=False)