8a4a777be7
后端新增员工行为画像算法模块，支持标签规则引擎和评分计算， 完善员工模型、银行信息、序列化和导入逻辑，优化报销审批流 和工作流常量，增强 Hermes 同步和知识同步能力，前端新增费 用画像详情弹窗、雷达图和风险卡片组件，完善登录页和工作台 样式，优化文档中心和归档中心交互，补充单元测试。
69 lines
2.0 KiB
Python
69 lines
2.0 KiB
Python
from __future__ import annotations
|
|
|
|
from datetime import datetime
|
|
from typing import Any
|
|
|
|
from pydantic import BaseModel, Field
|
|
|
|
|
|
class EmployeeProfilePeerGroupRead(BaseModel):
|
|
key: str = ""
|
|
fallback_level: int = 0
|
|
sample_size: int = 0
|
|
|
|
|
|
class EmployeeProfileRead(BaseModel):
|
|
profile_type: str
|
|
profile_label: str
|
|
score: int
|
|
level: str
|
|
level_label: str
|
|
metrics: dict[str, Any] = Field(default_factory=dict)
|
|
top_contributors: list[dict[str, Any]] = Field(default_factory=list)
|
|
|
|
|
|
class EmployeeProfileTagRead(BaseModel):
|
|
code: str
|
|
label: str
|
|
display_label: str
|
|
category: str
|
|
polarity: str = "behavior"
|
|
score: int
|
|
confidence: float
|
|
reason: str = ""
|
|
evidence: list[dict[str, Any]] = Field(default_factory=list)
|
|
radar_dimensions: list[str] = Field(default_factory=list)
|
|
algorithm_version: str = ""
|
|
|
|
|
|
class EmployeeProfileRadarDimensionRead(BaseModel):
|
|
code: str
|
|
label: str
|
|
score: int
|
|
level: str
|
|
level_label: str
|
|
top_tags: list[str] = Field(default_factory=list)
|
|
|
|
|
|
class EmployeeProfileRadarRead(BaseModel):
|
|
algorithm_version: str = ""
|
|
dimensions: list[EmployeeProfileRadarDimensionRead] = Field(default_factory=list)
|
|
|
|
|
|
class EmployeeProfileLatestRead(BaseModel):
|
|
employee_id: str
|
|
employee_name: str = ""
|
|
scene: str = "approval"
|
|
window_days: int = 90
|
|
expense_type_scope: str = "overall"
|
|
calculated_at: datetime | None = None
|
|
peer_group: EmployeeProfilePeerGroupRead = Field(default_factory=EmployeeProfilePeerGroupRead)
|
|
review_priority_score: int = 0
|
|
review_priority_level: str = "normal"
|
|
review_priority_label: str = "正常"
|
|
profiles: list[EmployeeProfileRead] = Field(default_factory=list)
|
|
profile_tags: list[EmployeeProfileTagRead] = Field(default_factory=list)
|
|
radar: EmployeeProfileRadarRead = Field(default_factory=EmployeeProfileRadarRead)
|
|
review_suggestions: list[dict[str, Any]] = Field(default_factory=list)
|
|
empty_reason: str = ""
|