Features: - FastAPI backend with JWT authentication - MySQL database with SQLAlchemy ORM - KPI workflow: draft → pending → approved → evaluation → completed - Ollama LLM API integration for AI features - Gitea API integration for version control - Complete API endpoints for KPI, dashboard, notifications Tables: KPI_D_* prefix naming convention 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
56 lines
2.2 KiB
Python
56 lines
2.2 KiB
Python
"""
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KPI 項目 Model
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"""
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from datetime import datetime
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from typing import Optional, TYPE_CHECKING
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from sqlalchemy import String, Integer, DateTime, Text, ForeignKey
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.core.database import Base
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if TYPE_CHECKING:
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from app.models.kpi_sheet import KPISheet
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from app.models.kpi_template import KPITemplate
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class KPIItem(Base):
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"""KPI 項目"""
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__tablename__ = "KPI_D_items"
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id: Mapped[int] = mapped_column(primary_key=True)
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sheet_id: Mapped[int] = mapped_column(ForeignKey("KPI_D_sheets.id", ondelete="CASCADE"), nullable=False)
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template_id: Mapped[Optional[int]] = mapped_column(ForeignKey("KPI_D_templates.id"))
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sort_order: Mapped[int] = mapped_column(Integer, default=0)
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# 項目資訊
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name: Mapped[str] = mapped_column(String(200), nullable=False)
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category: Mapped[str] = mapped_column(String(50), nullable=False) # financial, customer, internal, learning
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weight: Mapped[int] = mapped_column(Integer, nullable=False) # 權重百分比 (1-100)
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# 等級標準
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level0_criteria: Mapped[Optional[str]] = mapped_column(Text)
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level1_criteria: Mapped[Optional[str]] = mapped_column(Text)
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level2_criteria: Mapped[Optional[str]] = mapped_column(Text)
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level3_criteria: Mapped[Optional[str]] = mapped_column(Text)
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level4_criteria: Mapped[Optional[str]] = mapped_column(Text)
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# 自評
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self_eval_level: Mapped[Optional[int]] = mapped_column(Integer) # 0-4
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self_eval_note: Mapped[Optional[str]] = mapped_column(Text)
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# 主管評核
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final_level: Mapped[Optional[int]] = mapped_column(Integer) # 0-4
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final_note: Mapped[Optional[str]] = mapped_column(Text)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
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updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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# Relationships
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sheet: Mapped["KPISheet"] = relationship("KPISheet", back_populates="items")
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template: Mapped[Optional["KPITemplate"]] = relationship("KPITemplate", back_populates="kpi_items")
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def __repr__(self) -> str:
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return f"<KPIItem id={self.id} name={self.name} weight={self.weight}>"
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