agg narative country list

scripts/bigquery_aggregate_layer.py

@@ -216,27 +216,42 @@ def _build_overview_narrative(
             f"no prior-year data is available for year-over-year comparison."
         )
 
-    # -- Sentence 3: country ranking ----------------------------------------
+    # -- Sentence 3: country ranking ----------------------------
     sent3 = ""
     if ranking_list:
-        top3 = ranking_list[:3]
+        first  = ranking_list[0]
-        last = ranking_list[-1]
+        last   = ranking_list[-1]
-        if len(top3) >= 3:
+        middle = ranking_list[1:-1]
-            after_first = (
-                f"{top3[1]['country_name']} ({_fmt_score(top3[1]['score'])}) and "
-                f"{top3[2]['country_name']} ({_fmt_score(top3[2]['score'])})."
-            )
-        elif len(top3) == 2:
-            after_first = f"{top3[1]['country_name']} ({_fmt_score(top3[1]['score'])})."
-        else:
-            after_first = "."
 
-        sent3 = (
+        if len(ranking_list) == 1:
-            f"In terms of country performance, {top3[0]['country_name']} led the region "
+            sent3 = (
-            f"with a score of {_fmt_score(top3[0]['score'])}, followed by {after_first} "
+                f"In terms of country performance, {first['country_name']} was the only "
-            f"At the other end, {last['country_name']} recorded the lowest score "
+                f"country assessed, scoring {_fmt_score(first['score'])} in {year}."
-            f"of {_fmt_score(last['score'])} in {year}."
+            )
-        )
+        elif len(ranking_list) == 2:
+            sent3 = (
+                f"In terms of country performance, {first['country_name']} led the region "
+                f"with a score of {_fmt_score(first['score'])}, while "
+                f"{last['country_name']} recorded the lowest score of "
+                f"{_fmt_score(last['score'])} in {year}."
+            )
+        else:
+            # Susun semua negara di tengah: "B (xx.xx), C (xx.xx), ..., and Y (xx.xx)"
+            middle_parts = [
+                f"{c['country_name']} ({_fmt_score(c['score'])})"
+                for c in middle
+            ]
+            if len(middle_parts) == 1:
+                middle_str = middle_parts[0]
+            else:
+                middle_str = ", ".join(middle_parts[:-1]) + f", and {middle_parts[-1]}"
+
+            sent3 = (
+                f"In terms of country performance, {first['country_name']} led the region "
+                f"with a score of {_fmt_score(first['score'])}, followed by {middle_str}. "
+                f"At the other end, {last['country_name']} recorded the lowest score "
+                f"of {_fmt_score(last['score'])} in {year}."
+            )
 
     # -- Sentence 4: most improved / declined ------------------------------
     sent4_parts = []