appbackup.py

import gradio as gr
import os
import json
import traceback
from data_service import DataAssessmentService
from sheets_integration import SheetsLogger
from datetime import datetime

# Initialize services with error handling
try:
    print("Initializing services...")
    service = DataAssessmentService(api_key=os.environ.get("OPENAI_API_KEY"))
    sheets_logger = SheetsLogger()
    print("Services initialized successfully")
except Exception as e:
    print(f"Error initializing services: {str(e)}")
    print(traceback.format_exc())
    raise

# Constants
DEPARTMENTS = {
    "Executive Management": "Executive Administration",
    "Education Support": "Education Support",
    "Medicine": "Medicine",
    "Cardiology": "Cardiology",
    "Gastroenterology": "Gastroenterology",
    "Medical Oncology": "Medical Oncology",
    "Hematology": "Hematology",
    "Operating Room": "Operating Room",
    "Surgery": "Surgery",
    "Orthopedics": "Orthopedics",
    "Obstetrics and Gynecology": "Obstetrics and Gynecology",
    "Ophthalmology": "Ophthalmology",
    "Ear, Nose, and Throat": "ENT",
    "Anesthesiology": "Anesthesiology",
    "Emergency Medicine & EMS": "Emergency Medicine",
    "Pediatrics": "Pediatrics",
    "Family Medicine & Preventive Medicine": "Family Medicine",
    "Psychiatry": "Psychiatry",
    "Physical Medicine & Rehabilitation": "PM&R",
    "Pathology": "Pathology",
    "Radiology": "Radiology",
    "Other": "Other"
}

FREQUENCIES = ["One-time request", "Weekly", "Monthly"]
URGENCY = ["Within a week", "Within a month", "Within a year"]

# Example requests for reference
EXAMPLE_REQUESTS = """
### Example 1: Clinical Data Request
I need OPD patient statistics for the Cardiology department from January to June 2024, including daily patient volume, types of cardiac conditions (ICD-10 codes), average waiting times, and number of follow-up vs. new cases. This data will be used for department capacity planning and resource allocation.

### Example 2: Quality Improvement Request
Requesting waiting time analysis for all OPD clinics for Q1 2024, including:
- Registration to first nurse contact time
- Nurse station to doctor examination time
- Doctor examination duration
- Time at pharmacy
- Total visit duration
Break down by day of week and time slots (morning/afternoon). This data will help identify service bottlenecks.

### Example 3: Department Performance Analysis
Need Emergency Department performance data for March 2024:
- Daily patient volume by triage level
- Door-to-doctor times
- Length of stay in ED
- Admission rates
- Transfer rates to other departments
Purpose: Monthly performance review and staff allocation planning.
"""
# Function to format user-friendly summaries
def format_user_summary(analysis_result):
    """Format analysis result into user-friendly summary"""
    available = [
        report['report_type']
        for report in analysis_result.get("required_reports", [])
        if report['category'] == "OPD"  # Example: assuming OPD reports are in Web Data System
    ]
    data_lake = [
        report['report_type']
        for report in analysis_result.get("required_reports", [])
        if report['category'] != "OPD"  # Example: assuming other categories require Data Lake queries
    ]
    unavailable = analysis_result.get("unavailable_data", [])
    
    interpretation = analysis_result.get("interpretation", "No interpretation available.")
    
    summary = [
        "### Data Request Summary",
        f"**Request Analysis**:  \n{interpretation}\n",
        "\n**Data Availability**:\n"
    ]
    
    if available:
        summary.append("✅ **Available in Web Data System**:  ")
        for report in available:
            summary.append(f"- {report}")
        summary.append(f"\nEstimated processing time: **3 working days**\n")
    
    if data_lake:
        summary.append("🔄 **Requires Additional Database Query**:  ")
        for report in data_lake:
            summary.append(f"- {report}")
        summary.append(f"\nEstimated processing time: **2–4 weeks**\n")
    
    if unavailable:
        summary.append("❌ **Not Currently Available**:  ")
        for item in unavailable:
            summary.append(f"- {item}")
        summary.append("\nAction required: Schedule a meeting to discuss alternative data sources or solutions. We will follow up via email.\n")
    
    # Return formatted summary
    return "\n".join(summary)

    
def process_request(name, employee_id, email, department, other_dept, request_details, frequency, urgency):
    print("=== Debug: Received Inputs ===")
    print(f"Name: {name}, Employee ID: {employee_id}, Email: {email}, Department: {department}, Request Details: {request_details}, Frequency: {frequency}, Urgency: {urgency}")

    if not all([name, employee_id, email, request_details, department, frequency, urgency]):
        return "Please fill in all required fields.", None
    
    final_department = other_dept if department == "Other" else department
    
    try:
        # Analyze request
        print("Calling GPT service...")
        result = service.assess_request(request_details)
        print(f"GPT response received: {result}")
        
        # Format summary
        user_summary = format_user_summary(result)
        print(f"User Summary: {user_summary}")
        
        # Log request
        sheet_data = {
            "timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
            "name": name,
            "employee_id": employee_id,
            "email": email,
            "department": final_department,
            "request_details": request_details,
            "frequency": frequency,
            "urgency": urgency,
            "user_summary": user_summary,
            "system_analysis": json.dumps(result, ensure_ascii=False)
        }
        sheets_logger.log_request(sheet_data)
        
        return user_summary, result
    except Exception as e:
        return f"Error processing request: {str(e)}", None

# Create Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("# Hospital Data Request System")
    gr.Markdown("Please fill in the following information to request data access.")

    with gr.Row():
        with gr.Column():
            name = gr.Textbox(
                label="Full Name*",
                placeholder="Enter your full name"
            )
            employee_id = gr.Textbox(
                label="Employee ID*",
                placeholder="Enter your employee ID"
            )
            email = gr.Textbox(
                label="Email*",
                placeholder="Enter your email for contact"
            )

    with gr.Row():
        with gr.Column():
            department = gr.Dropdown(
                choices=list(DEPARTMENTS.keys()),
                label="Department*",
                info="Select your department",
                value=list(DEPARTMENTS.keys())[0]  # Set default value
            )
            other_dept = gr.Textbox(
                label="Other Department",
                placeholder="Specify your department if not in the list",
                visible=False
            )

    def update_other_dept_visibility(dept):
        return gr.update(visible=(dept == "Other"))

    department.change(
        fn=update_other_dept_visibility,
        inputs=department,
        outputs=other_dept
    )    
    
    # Example requests section
    with gr.Accordion("📝 Click here to see example requests", open=False):
        gr.Markdown(EXAMPLE_REQUESTS)


    with gr.Row():
        request_details = gr.Textbox(
            label="Request Details*",
            placeholder="Please describe in detail what data you need, including time period, specific parameters, etc.",
            lines=5
        )

    with gr.Row():
        with gr.Column():
            frequency = gr.Dropdown(
                choices=FREQUENCIES,
                label="Request Frequency*"
            )
            urgency = gr.Dropdown(
                choices=URGENCY,
                label="Urgency Level*"
            )

    submit_btn = gr.Button("Submit Request", variant="primary")

    user_output = gr.Markdown("", label="Request Summary")
    tech_output = gr.JSON(label="Technical Analysis (For Data Team)")

    submit_btn.click(
        fn=process_request,
        inputs=[
            name, employee_id, email, department, other_dept,
            request_details, frequency, urgency
        ],
        outputs=[user_output, tech_output]
    )

    gr.Markdown(
        """
        ### Notes:
        - Fields marked with * are required
        - Provide detailed information about the data you need
        - Include specific time periods and parameters
        - Clearly state the purpose of your request
        - All communications will be sent to the provided email
        """
    )

if __name__ == "__main__":
    demo.launch()