Update app.py

app.py

@@ -72,69 +72,68 @@ 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 = analysis_result.get("data_availability", {}).get("available_reports", [])
-    data_lake = analysis_result.get("data_lake_requirements", {}).get("reports_needed", [])
+    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("request_analysis", {}).get("interpretation", "")
-
+    
+    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['name']}")
+            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['report_type']}")
+            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['report_type']}")
+            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):
-    """Process the data request and return both user and technical responses"""
     print("=== Debug: Received Inputs ===")
-    print(f"Name: {name}")
-    print(f"Employee ID: {employee_id}")
-    print(f"Email: {email}")
-    print(f"Department: {department}")
-    print(f"Other Dept: {other_dept}")
-    print(f"Request Details: {request_details}")
-    print(f"Frequency: {frequency}")
-    print(f"Urgency: {urgency}")
-
-    # Validate 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]):
-        print("Validation failed - missing required fields")
         return "Please fill in all required fields.", None
-
-    # Combine department info
+    
     final_department = other_dept if department == "Other" else department
-    print(f"Final department: {final_department}")
-
+    
     try:
         # Analyze request
         print("Calling GPT service...")
         result = service.assess_request(request_details)
         print(f"GPT response received: {result}")
-
-        # Create user-friendly summary
+        
+        # Format summary
         user_summary = format_user_summary(result)
-
-        # Prepare data for Google Sheets logging
+        print(f"User Summary: {user_summary}")
+        
+        # Log request
         sheet_data = {
             "timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
             "name": name,
@@ -148,12 +147,10 @@ def process_request(name, employee_id, email, department, other_dept, request_de
             "system_analysis": json.dumps(result, ensure_ascii=False)
         }
         sheets_logger.log_request(sheet_data)
-
+        
         return user_summary, result
     except Exception as e:
-        error_msg = f"Error processing request: {str(e)}"
-        print(error_msg)
-        return error_msg, None
+        return f"Error processing request: {str(e)}", None
 
 # Create Gradio interface
 with gr.Blocks() as demo: