Spaces:
Sleeping
Sleeping
File size: 2,200 Bytes
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from typing_extensions import TypedDict
from datetime import date
from typing import Annotated, Dict, Any
from langgraph.graph.message import add_messages
class PainLevels(TypedDict):
left_head: int
right_head: int
left_arm: int
left_hand: int
right_arm: int
right_hand: int
left_body_trunk: int
right_body_trunk: int
left_leg: int
left_foot: int
right_leg: int
right_foot: int
class Surgery(TypedDict):
surgery_name: str
time: date
class PatientID(TypedDict):
name: str
DOB: date
gender: str
contact: str
emergency_contact: str
class MainSymptom(TypedDict):
main_symptom: str
symptom_length: str
class Pain(TypedDict):
pain_location: str
pain_side: str
pain_intensity: int
pain_description: str
start_time: date
radiation: bool
triggers: str
symptom: str
class MedicalHistory(TypedDict):
medical_condition: str
first_time: date
surgery_history: str
medication: str
allergy: str
class FamilyHistory(TypedDict):
family_history: str
class SocialHistory(TypedDict):
occupation: str
smoke: bool
alcohol: bool
drug: bool
support_system: str
living_condition: str
class ReviewSystem(TypedDict):
weight_change: str
fever: bool
chill: bool
night_sweats: bool
sleep: str
gastrointestinal: str
urinary: str
class PainManagement(TypedDict):
pain_medication: str
specialist: bool
other_therapy: str
effectiveness: bool
class Functional(TypedDict):
life_quality: str
limit_activity: str
mood: str
class Plan(TypedDict):
goal: str
expectation: str
alternative_treatment_illness: str
class PatientData(TypedDict):
ID: PatientID
symptom: MainSymptom
pain: Pain
medical_hist: MedicalHistory
family_hist: FamilyHistory
social_hist: SocialHistory
review_system: ReviewSystem
pain_manage: PainManagement
functional: Functional
plan: Plan
class DataState(TypedDict):
"""State representing the patient's data status and conversation."""
messages: Annotated[list, add_messages]
data: Dict[str, PatientData]
finished: bool |