Cheng Zhou
97 lines
2.6 KiB
Python
97 lines
2.6 KiB
Python
import uuid
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from datetime import date, datetime
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from typing import Optional
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from enum import Enum
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from pydantic import BaseModel, ConfigDict, field_validator
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class AESeriousness(str, Enum):
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I = "I"
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II = "II"
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III = "III"
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IV = "IV"
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V = "V"
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class AECreate(BaseModel):
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site_id: Optional[uuid.UUID] = None
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subject_id: Optional[uuid.UUID] = None
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visit_id: Optional[uuid.UUID] = None
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term: str
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onset_date: Optional[date] = None
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seriousness: AESeriousness
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causality: Optional[str] = None
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description: Optional[str] = None
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outcome: Optional[str] = None
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is_sae: bool = False
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is_susar: bool = False
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class AEUpdate(BaseModel):
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subject_id: Optional[uuid.UUID] = None
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term: Optional[str] = None
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onset_date: Optional[date] = None
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resolution_date: Optional[date] = None
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seriousness: Optional[AESeriousness] = None
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causality: Optional[str] = None
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action_taken: Optional[str] = None
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outcome: Optional[str] = None
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reported_to_sponsor: Optional[bool] = None
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is_sae: Optional[bool] = None
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is_susar: Optional[bool] = None
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status: Optional[str] = None
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description: Optional[str] = None
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class AERead(BaseModel):
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id: uuid.UUID
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study_id: uuid.UUID
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site_id: Optional[uuid.UUID]
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subject_id: Optional[uuid.UUID]
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visit_id: Optional[uuid.UUID]
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term: str
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onset_date: Optional[date]
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resolution_date: Optional[date]
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seriousness: AESeriousness
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causality: Optional[str]
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action_taken: Optional[str]
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outcome: Optional[str]
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reported_to_sponsor: bool
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is_sae: bool
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is_susar: bool
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report_due_date: Optional[date]
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status: str
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description: Optional[str]
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created_by: uuid.UUID
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created_at: datetime
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updated_at: datetime
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is_overdue: bool | None = None
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model_config = ConfigDict(from_attributes=True)
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@field_validator("seriousness", mode="before")
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@classmethod
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def normalize_seriousness(cls, value):
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if value is None:
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return AESeriousness.I
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normalized = str(value).strip().upper()
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if normalized.startswith("AESERIOUSNESS."):
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normalized = normalized.split(".", 1)[1]
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digit_map = {
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"1": "I",
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"2": "II",
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"3": "III",
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"4": "IV",
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"5": "V",
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}
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legacy_map = {
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"SERIOUS": "IV",
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"NON_SERIOUS": "II",
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}
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if normalized in digit_map:
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return digit_map[normalized]
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if normalized in legacy_map:
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return legacy_map[normalized]
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return normalized
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