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Create components/agent_system.py
Browse files- components/agent_system.py +56 -0
components/agent_system.py
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import autogen
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class DoctorAgent(autogen.Agent):
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def diagnose(self, patient_data):
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diagnosis = self.generate_diagnosis(patient_data)
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return diagnosis
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def generate_diagnosis(self, patient_data):
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if patient_data['condition'] == 'Parkinson':
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return "Patient diagnosed with early-stage Parkinson. Recommend Treatment A."
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elif patient_data['condition'] == 'Alzheimer':
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return "Patient diagnosed with Alzheimer. Recommend Treatment B."
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else:
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return "Further diagnosis needed."
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class NurseAgent(autogen.Agent):
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def monitor_patient(self, patient_data, treatment):
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if patient_data['response'] == 'positive':
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return f"Patient responding well to {treatment}."
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else:
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return f"Patient showing adverse effects to {treatment}. Alert doctor!"
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class ClinicianAgent(autogen.Agent):
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def specialize_support(self, condition):
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if condition == "Parkinson":
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return "Recommend additional physiotherapy sessions."
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elif condition == "Alzheimer":
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return "Recommend cognitive therapy."
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else:
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return "No specialized support needed."
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class AICoordinator(autogen.Agent):
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def __init__(self):
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self.doctor_agent = DoctorAgent()
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self.nurse_agent = NurseAgent()
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self.clinician_agent = ClinicianAgent()
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def coordinate_care(self, patient_data):
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diagnosis = self.doctor_agent.diagnose(patient_data)
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treatment = diagnosis.split("Recommend ")[1]
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nurse_update = self.nurse_agent.monitor_patient(patient_data, treatment)
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clinician_support = ""
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if patient_data['condition'] in ['Parkinson', 'Alzheimer']:
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clinician_support = self.clinician_agent.specialize_support(patient_data['condition'])
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final_plan = f"Final Plan: {treatment}, {clinician_support}"
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return final_plan
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class AgentSystem:
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def __init__(self):
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self.coordinator = AICoordinator()
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def coordinate_care(self, patient_data):
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return self.coordinator.coordinate_care(patient_data)
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