freedakgmail
33b4c734aa
后端: - 新增认证(auth)、任务(tasks)、映射(mappings)、对账(reconciliation)、异常(exceptions)、导出(exports) API - 新增核心模块: database, security, permissions, tenant, exceptions, error_handlers - 新增数据模型: user, company, reconciliation_task, field_mapping, uploaded_file 等 - 新增服务层: ai_recognizer, file_parser, file_storage, mapping, reconciliation 等 - 添加数据库迁移脚本 前端: - 新增登录页面和仪表盘页面 - 新增任务列表、任务详情、字段映射页面 - 新增异常处理页面和规则设置页面 - 新增 API 代理路由 /api/[...path] - 新增 UI 组件库 (button, card, dialog, input, table 等) - 新增 auth 组件 (ProtectedRoute, PermissionGate) - 新增 layout 组件 (Header, Sidebar) - 新增 mapping 组件 (FieldMappingTable, AISuggestionPanel) - 新增 API 客户端和 hooks (useAsync, useToast, usePermission 等) - 新增状态管理 (auth-store, company-store, ui-store) - 集成 Tailwind CSS 和 shadcn/ui 组件库 其他: - 添加 Alembic 数据库迁移配置 - 添加初始化示例数据脚本 - 更新项目文档
43 lines
2.0 KiB
Python
43 lines
2.0 KiB
Python
"""
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字段映射模型
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用于存储 AI 识别的字段映射结果
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"""
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from datetime import datetime
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from typing import List, Optional
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from sqlalchemy import ForeignKey, Integer, String, Float, Boolean, DateTime, JSON, Text
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.models.base import BaseModel
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class FieldMapping(BaseModel):
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"""
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字段映射模型
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记录源字段到标准字段的映射关系
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"""
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__tablename__ = "field_mappings"
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company_id: Mapped[int] = mapped_column(Integer, ForeignKey("companies.id"), nullable=False, index=True)
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file_id: Mapped[int] = mapped_column(Integer, ForeignKey("uploaded_files.id"), nullable=False, index=True)
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source_field: Mapped[str] = mapped_column(String(100), nullable=False, comment="源字段名")
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standard_field: Mapped[str] = mapped_column(String(100), nullable=False, comment="标准字段名")
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confidence: Mapped[float] = mapped_column(Float, nullable=False, default=0.0, comment="置信度 0-1")
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confirmed: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False, comment="是否已确认")
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confirmed_by: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("users.id"), nullable=True)
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confirmed_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
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sample_values: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True, comment="样例值")
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reasoning: Mapped[Optional[str]] = mapped_column(Text, nullable=True, comment="AI 判断依据")
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is_skipped: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False, comment="是否跳过")
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# 关系
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company = relationship("Company", back_populates="field_mappings")
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file = relationship("UploadedFile", back_populates="field_mappings")
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confirmed_by_user = relationship("User", foreign_keys=[confirmed_by])
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def __repr__(self) -> str:
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return f"<FieldMapping(source='{self.source_field}' -> standard='{self.standard_field}', confidence={self.confidence})>" |