Update app.py

app.py

@@ -178,6 +178,13 @@ filtered_lexical = filter_results(lexical_all, country_filter, region_filter)##
 filtered_semantic_no_dupe = remove_duplicates(filtered_semantic) # ToDo remove duplicates again?
 filtered_lexical_no_dupe = remove_duplicates(filtered_lexical)
 
+# Define a helper function to format currency values
+def format_currency(value):
+    try:
+        # Convert to float then int for formatting (assumes whole numbers)
+        return f"€{int(float(value)):,}"
+    except (ValueError, TypeError):
+        return value
 
 # 3) Retrieve top 15 *after* filtering
 # Check user preference
@@ -211,18 +218,24 @@ if show_exact_matches:
         # 6) Display the first 15 matching results
         for res in filtered_lexical_no_dupe[:15]:
             project_name = res.payload['metadata'].get('project_name', 'Project Link')
-            url = res.payload['metadata'].get('url', '#')
-            st.markdown(f"#### [{project_name}]({url})")
+            proj_id = metadata.get('id', 'Unknown')
+            st.markdown(f"#### {project_name} [{proj_id}]")
 
             # Snippet logic (80 words)
-            full_text = res.payload['page_content']
-            words = full_text.split()
+            # Build snippet from objectives and descriptions.
+            objectives = metadata.get("objectives", "")
+            desc_de = metadata.get("description.de", "")
+            desc_en = metadata.get("description.en", "")
+            description = desc_de if desc_de else desc_en
+            full_snippet = f"Objective: {objectives} Description: {description}"
+            words = full_snippet.split()
             preview_word_count = 200
             preview_text = " ".join(words[:preview_word_count])
             remainder_text = " ".join(words[preview_word_count:])
             st.write(preview_text + ("..." if remainder_text else ""))
 
             # Keywords
+            full_text = res.payload['page_content']
             top_keywords = extract_top_keywords(full_text, top_n=5)
             if top_keywords:
                 st.markdown(f"_{' · '.join(top_keywords)}_")
@@ -257,20 +270,17 @@ if show_exact_matches:
                         matched_countries.append(resolved_name)
             
             # Format the year range
-            start_year_str = f"{int(round(float(start_year)))}" if start_year else "Unknown"
-            end_year_str = f"{int(round(float(end_year)))}" if end_year else "Unknown"
-            
-            if matched_countries:
-                additional_text = (
-                    f"**{', '.join(matched_countries)}**, commissioned by **{client_name}**, "
-                    f"**{start_year_str}-{end_year_str}**, project ID: {id}, project budget: {total_project}, total volumne: {total_volume}"
-                )
-            else:
-                additional_text = (
-                    f"Commissioned by **{client_name}**, **{start_year_str}-{end_year_str}**, project ID: {id}, project budget: {total_project}, total volumne: {total_volume}"
-                )
-
+            start_year_str = extract_year(start_year) if start_year else "Unknown"
+            end_year_str = extract_year(end_year) if end_year else "Unknown"
             
+            formatted_project_budget = format_currency(total_project)
+            formatted_total_volume = format_currency(total_volume)
+
+            additional_text = (
+                f"Commissioned by **{client_name}**\n"
+                f"Projekt duration **{start_year_str}-{end_year_str}**\n"
+                f"Budget: Project: **{formatted_project_budget}**, total volume: **{formatted_total_volume}**"
+            )
             st.markdown(additional_text)
             st.divider()