Update app.py

app.py

@@ -122,17 +122,17 @@ def generate_analysis_prompt(patient_data: Dict[str, Any], booking: str) -> str:
             latest = max((e for e in entries if e['booking'] == booking), key=lambda x: x['date'])
             current_diags.append(f"- {diag}: {latest['response']} (as of {latest['date']})")
     
-    prompt = f"""
+    prompt = """
 **Comprehensive Patient Analysis - Booking {booking}**
 
 **Patient Timeline:**
 {timeline}
 
 **Current Medications:**
-{'\n'.join(current_meds) if current_meds else "None recorded"}
+{meds}
 
 **Current Diagnoses:**
-{'\n'.join(current_diags) if current_diags else "None recorded"}
+{diags}
 
 **Analysis Instructions:**
 1. Review the patient's complete history across all visits
@@ -157,7 +157,12 @@ def generate_analysis_prompt(patient_data: Dict[str, Any], booking: str) -> str:
 
 ### Doctor Consistency
 [Discrepancies between different providers]
-"""
+""".format(
+        booking=booking,
+        timeline=timeline,
+        meds='\n'.join(current_meds) if current_meds else "None recorded",
+        diags='\n'.join(current_diags) if current_diags else "None recorded"
+    )
     return prompt
 
 def chunk_patient_data(patient_data: Dict[str, Any]) -> List[Dict[str, Any]]:
@@ -324,7 +329,7 @@ def create_ui(agent):
                     summary_prompt = """
 **Comprehensive Patient Summary**
 
-Analyze all bookings ({bookings_processed} total) to identify:
+Analyze all bookings ({0} total) to identify:
 1. Patterns across the entire treatment history
 2. Chronic issues that may have been missed
 3. Medication changes over time
@@ -343,7 +348,7 @@ Analyze all bookings ({bookings_processed} total) to identify:
 
 ### Comprehensive Recommendations
 [Overall care plan]
-""".format(bookings_processed=bookings_processed)
+""".format(bookings_processed)
                     summary = analyze_with_agent(agent, summary_prompt)
                     full_report.append(f"## Overall Patient Summary\n{summary}\n")