from typing import Any

from pydantic import BaseModel


class AuthMeResponse(BaseModel):
    """认证用户响应：返回医疗问诊 Agent 标准化后的当前用户信息。"""

    user_id: str
    source: str
    username: str | None = None
    display_name: str | None = None
    tenant_id: str | None = None
    role: str | None = None
    phone: str | None = None
    avatar: str | None = None
    gender: int | None = None
    institution: int | None = None
    institution_id: int | None = None
    institution_name: str | None = None
    department: int | None = None
    department_id: int | None = None
    department_name: str | None = None
    title_name: str | None = None
    major: str | None = None
    training_stage: str | None = None
    learning_target: str | None = None
    competency_profile: dict[str, Any] | None = None
    weak_dimensions: list[Any] | None = None
    strong_dimensions: list[Any] | None = None
    ai_preference: dict[str, Any] | None = None
    total_training_count: int | None = None
    total_case_count: int | None = None
    current_level: str | None = None
    status: int | None = None
    last_login: str | None = None
    last_login_time: str | None = None
    is_superuser: bool | None = None
    is_staff: bool | None = None
    is_active: bool | None = None
    date_joined: str | None = None
    created_at: str | None = None
    updated_at: str | None = None