Update app.py

app.py

@@ -393,10 +393,13 @@ def generate_project_proposal(prompt):
 
 
 
+
+
 def create_project_proposals(budget_cluster_df, problem_cluster_df, location_clusters, problem_clusters):
     print("\n Starting function: create_project_proposals")
     console_messages.append("\n Starting function: create_project_proposals")
     proposals = {}
+
     for loc in budget_cluster_df.index:
         print("\n loc: ", loc)
         console_messages.append(f"\n loc: {loc}")
@@ -408,20 +411,17 @@ def create_project_proposals(budget_cluster_df, problem_cluster_df, location_clu
             location = ", ".join([item.strip() for item in location_clusters[loc] if item])  # Clean and join
             problem_domain = ", ".join([item.strip() for item in problem_clusters[prob] if item])  # Clean and join
             problem_descriptions = problem_cluster_df.loc[loc, prob]
-            print("location: ",location)
-            print("problem_domain: ",problem_domain)
-            print("problem_descriptions: ",problem_descriptions)
             
-            if problem_descriptions:# and not pd.isna(problem_descriptions):
-                
+            print("location: ", location)
+            print("problem_domain: ", problem_domain)
+            print("problem_descriptions: ", problem_descriptions)
+            
+            # Check if problem_descriptions is valid (not NaN and not an empty list)
+            if isinstance(problem_descriptions, list) and problem_descriptions:
                 print(f"\nGenerating proposal for location: {location}, problem domain: {problem_domain}")
                 
-                # console_messages.append(f"\nGenerating proposal for location: {location}, problem domain: {problem_domain}")
-                
                 # Prepare the prompt
-                problems_summary = "; \n".join(problem_descriptions[:3])  # Limit to first 3 for brevity                
-                # problems_summary = "; ".join(problem_descriptions)
-                # prompt = f"Generate a project proposal for the following:\n\nLocation: {location}\nProblem Domain: {problem_domain}\nProblems: {problems_summary}\nBudget: ${financial_weight:.2f}\n\nProject Proposal:"
+                problems_summary = "; \n".join(problem_descriptions)  # Join all problem descriptions
                 prompt = f"Generate a solution oriented project proposal for the following:\n\nLocation: {location}\nProblem Domain: {problem_domain}\nProblems: {problems_summary}\n\nProject Proposal:"
                 
                 proposal = generate_project_proposal(prompt)
@@ -432,6 +432,48 @@ def create_project_proposals(budget_cluster_df, problem_cluster_df, location_clu
                 print(f"Skipping empty problem descriptions for location: {location}, problem domain: {problem_domain}")
     
     return proposals
+        
+
+# def create_project_proposals(budget_cluster_df, problem_cluster_df, location_clusters, problem_clusters):
+#     print("\n Starting function: create_project_proposals")
+#     console_messages.append("\n Starting function: create_project_proposals")
+#     proposals = {}
+#     for loc in budget_cluster_df.index:
+#         print("\n loc: ", loc)
+#         console_messages.append(f"\n loc: {loc}")
+        
+#         for prob in budget_cluster_df.columns:
+#             console_messages.append(f"\n prob: {prob}")
+#             print("\n prob: ", prob)
+            
+#             location = ", ".join([item.strip() for item in location_clusters[loc] if item])  # Clean and join
+#             problem_domain = ", ".join([item.strip() for item in problem_clusters[prob] if item])  # Clean and join
+#             problem_descriptions = problem_cluster_df.loc[loc, prob]
+            
+#             print("location: ",location)
+#             print("problem_domain: ",problem_domain)
+#             print("problem_descriptions: ",problem_descriptions)
+            
+#             if problem_descriptions:# and not pd.isna(problem_descriptions):
+                
+#                 print(f"\nGenerating proposal for location: {location}, problem domain: {problem_domain}")
+                
+#                 # console_messages.append(f"\nGenerating proposal for location: {location}, problem domain: {problem_domain}")
+                
+#                 # Prepare the prompt
+#                 problems_summary = "; \n".join(problem_descriptions[:3])  # Limit to first 3 for brevity                
+#                 # problems_summary = "; ".join(problem_descriptions)
+#                 # prompt = f"Generate a project proposal for the following:\n\nLocation: {location}\nProblem Domain: {problem_domain}\nProblems: {problems_summary}\nBudget: ${financial_weight:.2f}\n\nProject Proposal:"
+#                 prompt = f"Generate a solution oriented project proposal for the following:\n\nLocation: {location}\nProblem Domain: {problem_domain}\nProblems: {problems_summary}\n\nProject Proposal:"
+                
+#                 proposal = generate_project_proposal(prompt)
+#                 proposals[(loc, prob)] = proposal
+#                 print("Generated Proposal: ", proposal)
+                
+#             else:
+#                 print(f"Skipping empty problem descriptions for location: {location}, problem domain: {problem_domain}")
+    
+#     return proposals