Cheng Zhou
56 lines
1.4 KiB
Python
56 lines
1.4 KiB
Python
import uuid
|
|
from datetime import date, datetime
|
|
from typing import Optional
|
|
|
|
from pydantic import BaseModel, ConfigDict
|
|
|
|
|
|
class AECreate(BaseModel):
|
|
site_id: Optional[uuid.UUID] = None
|
|
subject_id: Optional[uuid.UUID] = None
|
|
visit_id: Optional[uuid.UUID] = None
|
|
term: str
|
|
onset_date: Optional[date] = None
|
|
seriousness: str
|
|
severity: str
|
|
causality: Optional[str] = None
|
|
description: Optional[str] = None
|
|
|
|
|
|
class AEUpdate(BaseModel):
|
|
resolution_date: Optional[date] = None
|
|
seriousness: Optional[str] = None
|
|
severity: Optional[str] = None
|
|
causality: Optional[str] = None
|
|
action_taken: Optional[str] = None
|
|
outcome: Optional[str] = None
|
|
reported_to_sponsor: Optional[bool] = None
|
|
status: Optional[str] = None
|
|
description: Optional[str] = None
|
|
|
|
|
|
class AERead(BaseModel):
|
|
id: uuid.UUID
|
|
study_id: uuid.UUID
|
|
site_id: Optional[uuid.UUID]
|
|
subject_id: Optional[uuid.UUID]
|
|
visit_id: Optional[uuid.UUID]
|
|
term: str
|
|
onset_date: Optional[date]
|
|
resolution_date: Optional[date]
|
|
seriousness: str
|
|
severity: str
|
|
causality: Optional[str]
|
|
action_taken: Optional[str]
|
|
outcome: Optional[str]
|
|
reported_to_sponsor: bool
|
|
report_due_date: Optional[date]
|
|
status: str
|
|
description: Optional[str]
|
|
created_by: uuid.UUID
|
|
created_at: datetime
|
|
updated_at: datetime
|
|
is_overdue: bool | None = None
|
|
|
|
model_config = ConfigDict(from_attributes=True)
|