Update app.py

app.py

@@ -203,6 +203,43 @@ def analyze_with_agent(agent, prompt: str) -> str:
     except Exception as e:
         return f"Error in analysis: {str(e)}"
 
+def analyze(file):
+    if not file:
+        raise gr.Error("Please upload a file")
+
+    try:
+        df = pd.read_excel(file.name)
+        patient_data = process_patient_data(df)
+        all_bookings = list(patient_data['bookings'].keys())
+
+        # ✅ Build one full prompt with all bookings
+        prompt = generate_analysis_prompt(patient_data, all_bookings)
+
+        # ✅ Add holistic reasoning instruction to prompt
+        prompt += "\n\n" + "\n".join([
+            "**Please analyze the entire patient history across all bookings.**",
+            "Look for missed diagnoses, inconsistent notes across different doctors,",
+            "missing follow-ups, or any gaps in care delivery.",
+            "Provide detailed insight into what may have been overlooked."
+        ])
+
+        # ✅ Run the agent once over the full patient timeline
+        response = analyze_with_agent(agent, prompt)
+
+        # ✅ Wrap and save the result
+        full_report = f"# 🧠 Full Patient History Analysis\n\n{response}"
+
+        report_path = os.path.join(
+            report_dir, f"report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md"
+        )
+        with open(report_path, 'w') as f:
+            f.write(full_report)
+
+        yield full_report, report_path
+
+    except Exception as e:
+        raise gr.Error(f"Error: {str(e)}")
+
 def create_ui(agent):
     with gr.Blocks(theme=gr.themes.Soft(), title="Patient History Analyzer") as demo:
         gr.Markdown("# 🏥 Patient History Analyzer")
@@ -240,37 +277,6 @@ def create_ui(agent):
                 - Description
                 """)
         
-        def analyze(file):
-            if not file:
-                raise gr.Error("Please upload a file")
-            
-            try:
-                df = pd.read_excel(file.name)
-                patient_data = process_patient_data(df)
-                chunks = chunk_bookings(patient_data)
-                full_report = []
-                
-                for i, bookings in enumerate(chunks, 1):
-                    prompt = generate_analysis_prompt(patient_data, bookings)
-                    response = analyze_with_agent(agent, prompt)
-                    full_report.append(f"## Chunk {i}\n{response}\n")
-                    yield "\n".join(full_report), None
-                
-                # Final summary
-                if len(chunks) > 1:
-                    summary_prompt = "Create final summary combining all chunks"
-                    summary = analyze_with_agent(agent, summary_prompt)
-                    full_report.append(f"## Final Summary\n{summary}\n")
-                
-                report_path = os.path.join(report_dir, f"report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md")
-                with open(report_path, 'w') as f:
-                    f.write("\n".join(full_report))
-                
-                yield "\n".join(full_report), report_path
-            
-            except Exception as e:
-                raise gr.Error(f"Error: {str(e)}")
-        
         analyze_btn.click(
             analyze,
             inputs=file_upload,