Upload app.py

src/app.py

@@ -978,14 +978,20 @@ with tab_geo:
 
 # ═══ 7. ANALYTICS ═══════════════════════════════════════════════
 with tab_analytics:
-    with st.spinner("Loading analytics data..."):
-        authors_df = load_authors_data(data_dir_val)
+    try:
+        with st.spinner("Loading analytics data..."):
+            authors_df = load_authors_data(data_dir_val)
+        _authors_ok = True
+    except Exception as _e:
+        st.warning(f"Authors data unavailable: {_e}")
+        authors_df = pd.DataFrame(columns=["author_id", "author_name"])
+        _authors_ok = False
 
     col_a, col_b = st.columns(2)
 
     with col_a:
         st.subheader("Top Authors")
-        if "author_id" in seed.columns and not seed["author_id"].isna().all():
+        if _authors_ok and "author_id" in seed.columns and not seed["author_id"].isna().all():
             top_auth = (seed.explode("author_id")
                         .merge(authors_df, on="author_id", how="left")
                         .groupby("author_name").size()
@@ -1150,15 +1156,17 @@ with tab_analytics:
         )
 
     with col_e2:
-        cite_export = seed_events[
+        _cite_cols = [c for c in
             ["citing_title", "citing_doi", "citing_year", "citing_venue",
              "primary_intent", "context_count", "is_influential"]
-        ].rename(columns={
-            "citing_title": "title", "citing_doi": "doi",
-            "citing_year": "year", "citing_venue": "venue",
-            "primary_intent": "intent", "context_count": "contexts",
-            "is_influential": "influential",
-        }).to_csv(index=False).encode("utf-8")
+            if c in seed_events.columns]
+        cite_export = (seed_events[_cite_cols]
+            .rename(columns={
+                "citing_title": "title", "citing_doi": "doi",
+                "citing_year": "year", "citing_venue": "venue",
+                "primary_intent": "intent", "context_count": "contexts",
+                "is_influential": "influential",
+            }).to_csv(index=False).encode("utf-8"))
         st.download_button(
             "⬇ Citation Events (CSV)",
             cite_export, "citation_events.csv", "text/csv",