刘金宝
44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
from typing import Any
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from pydantic import BaseModel
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class AuthMeResponse(BaseModel):
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"""认证用户响应：返回医疗问诊 Agent 标准化后的当前用户信息。"""
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user_id: str
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source: str
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username: str | None = None
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display_name: str | None = None
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tenant_id: str | None = None
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role: str | None = None
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phone: str | None = None
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avatar: str | None = None
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gender: int | None = None
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institution: int | None = None
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institution_id: int | None = None
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institution_name: str | None = None
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department: int | None = None
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department_id: int | None = None
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department_name: str | None = None
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title_name: str | None = None
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major: str | None = None
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training_stage: str | None = None
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learning_target: str | None = None
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competency_profile: dict[str, Any] | None = None
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weak_dimensions: list[Any] | None = None
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strong_dimensions: list[Any] | None = None
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ai_preference: dict[str, Any] | None = None
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total_training_count: int | None = None
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total_case_count: int | None = None
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current_level: str | None = None
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status: int | None = None
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last_login: str | None = None
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last_login_time: str | None = None
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is_superuser: bool | None = None
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is_staff: bool | None = None
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is_active: bool | None = None
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date_joined: str | None = None
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created_at: str | None = None
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updated_at: str | None = None
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