DonaldFang 方士碩
f810ddc2ea
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>
75 lines
1.3 KiB
Python
75 lines
1.3 KiB
Python
"""
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儀表板 Schemas
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"""
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from datetime import datetime
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from typing import Optional, List
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from pydantic import BaseModel
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class ProgressStats(BaseModel):
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"""進度統計"""
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total: int
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draft: int
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pending: int
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approved: int
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self_eval: int
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manager_eval: int
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completed: int
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class DistributionItem(BaseModel):
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"""分佈項目"""
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label: str
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count: int
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percentage: float
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class TrendItem(BaseModel):
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"""趨勢項目"""
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period: str
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average_score: float
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completed_count: int
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class DashboardAlertResponse(BaseModel):
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"""儀表板警示回應"""
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id: int
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alert_type: str
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severity: str
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title: str
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description: Optional[str]
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related_sheet_id: Optional[int]
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related_employee_id: Optional[int]
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is_resolved: bool
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created_at: datetime
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class Config:
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from_attributes = True
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class DashboardProgressResponse(BaseModel):
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"""儀表板進度回應"""
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period_code: str
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period_name: str
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stats: ProgressStats
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completion_rate: float
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class DashboardDistributionResponse(BaseModel):
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"""儀表板分佈回應"""
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by_department: List[DistributionItem]
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by_status: List[DistributionItem]
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by_score_range: List[DistributionItem]
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class DashboardTrendsResponse(BaseModel):
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"""儀表板趨勢回應"""
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trends: List[TrendItem]
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