components/agent_system.py

import autogen

class DoctorAgent(autogen.Agent):
    def diagnose(self, patient_data):
        diagnosis = self.generate_diagnosis(patient_data)
        return diagnosis
    
    def generate_diagnosis(self, patient_data):
        if patient_data['condition'] == 'Parkinson':
            return "Patient diagnosed with early-stage Parkinson. Recommend Treatment A."
        elif patient_data['condition'] == 'Alzheimer':
            return "Patient diagnosed with Alzheimer. Recommend Treatment B."
        else:
            return "Further diagnosis needed."

class NurseAgent(autogen.Agent):
    def monitor_patient(self, patient_data, treatment):
        if patient_data['response'] == 'positive':
            return f"Patient responding well to {treatment}."
        else:
            return f"Patient showing adverse effects to {treatment}. Alert doctor!"

class ClinicianAgent(autogen.Agent):
    def specialize_support(self, condition):
        if condition == "Parkinson":
            return "Recommend additional physiotherapy sessions."
        elif condition == "Alzheimer":
            return "Recommend cognitive therapy."
        else:
            return "No specialized support needed."

class AICoordinator(autogen.Agent):
    def __init__(self):
        self.doctor_agent = DoctorAgent()
        self.nurse_agent = NurseAgent()
        self.clinician_agent = ClinicianAgent()
    
    def coordinate_care(self, patient_data):
        diagnosis = self.doctor_agent.diagnose(patient_data)
        
        treatment = diagnosis.split("Recommend ")[1]
        nurse_update = self.nurse_agent.monitor_patient(patient_data, treatment)
        
        clinician_support = ""
        if patient_data['condition'] in ['Parkinson', 'Alzheimer']:
            clinician_support = self.clinician_agent.specialize_support(patient_data['condition'])
        
        final_plan = f"Final Plan: {treatment}, {clinician_support}"
        return final_plan

class AgentSystem:
    def __init__(self):
        self.coordinator = AICoordinator()

    def coordinate_care(self, patient_data):
        return self.coordinator.coordinate_care(patient_data)