Update app.py

app.py

@@ -330,74 +330,71 @@ def apply_diff_row(row, base_col, comp_col):
 
 
 def unified_search(bs, bv, bc, cs, cv, cc):
-    if bs and bv and bc and not (cs and cv and cc):
-        df = display_data(bs, bv, bc)
-        return df.rename(columns={"section": "Section", "description": "Description"})
-
-    if bs and bv and bc and cs and cv and cc:
-        df_base = display_data(bs, bv, bc)
-        df_comp = display_data(cs, cv, cc)
-
-        if 'section' not in df_base.columns or 'section' not in df_comp.columns:
-            return pd.DataFrame({"Error": ["section 없음"]})
-
-        df_base = df_base.rename(columns={
-            "section": f"Section_{bv}",
-            "description": f"Description_{bv}"
-        })
-
-        df_comp = df_comp.rename(columns={
-            "section": f"Section_{cv}",
-            "description": f"Description_{cv}"
-        })
-
-        base_sec = f"Section_{bv}"
-        comp_sec = f"Section_{cv}"
-        base_col = f"Description_{bv}"
-        comp_col = f"Description_{cv}"
-
-        merged = pd.merge(
-            df_base,
-            df_comp,
-            left_on=base_sec,
-            right_on=comp_sec,
-            how="outer"
-        )
-
-        # NaN → ""
-        merged = merged.fillna("")
-        
-        # 🔥 section 정규화
-        merged[base_sec] = merged[base_sec].astype(str).str.strip()
-        merged[comp_sec] = merged[comp_sec].astype(str).str.strip()
-        
-        # 🔥 diff 적용
-        merged[[base_col, comp_col]] = merged.apply(
-            lambda row: apply_diff_row(row, base_col, comp_col),
-            axis=1
-        )
-        
-        # 🔥 Section 통합 (핵심)
-        merged["Section"] = merged[base_sec].where(
-            merged[base_sec] != "", merged[comp_sec]
-        )
-        
-        # 🔥 정렬 기준도 통합된 section 기준
-        merged = merged.sort_values(
-            by="Section",
-            key=lambda col: col.map(natural_sort_key)
-        )
-        
-        # 🔥 최종 컬럼 구성
-        merged = merged[[
-            "Section",
-            base_col,
-            comp_col
-        ]]
+    try:
+        if bs and bv and bc and not (cs and cv and cc):
+            df = display_data(bs, bv, bc)
+            return df.rename(columns={"section": "Section", "description": "Description"})
+
+        if bs and bv and bc and cs and cv and cc:
+            df_base = display_data(bs, bv, bc)
+            df_comp = display_data(cs, cv, cc)
+
+            print("=== BASE ===")
+            print(df_base.head())
+            print("=== COMP ===")
+            print(df_comp.head())
+
+            if 'section' not in df_base.columns or 'section' not in df_comp.columns:
+                return pd.DataFrame({"Error": ["section 없음"]})
+
+            df_base = df_base.rename(columns={
+                "section": f"Section_{bv}",
+                "description": f"Description_{bv}"
+            })
+
+            df_comp = df_comp.rename(columns={
+                "section": f"Section_{cv}",
+                "description": f"Description_{cv}"
+            })
+
+            base_sec = f"Section_{bv}"
+            comp_sec = f"Section_{cv}"
+            base_col = f"Description_{bv}"
+            comp_col = f"Description_{cv}"
+
+            merged = pd.merge(
+                df_base,
+                df_comp,
+                left_on=base_sec,
+                right_on=comp_sec,
+                how="outer"
+            ).fillna("")
+
+            # 🔥 여기서 에러 많이 남
+            merged[base_sec] = merged[base_sec].astype(str)
+            merged[comp_sec] = merged[comp_sec].astype(str)
+
+            merged[[base_col, comp_col]] = merged.apply(
+                lambda row: apply_diff_row(row, base_col, comp_col),
+                axis=1
+            )
+
+            merged["Section"] = merged[base_sec].where(
+                merged[base_sec] != "", merged[comp_sec]
+            )
+
+            merged = merged.sort_values(
+                by="Section",
+                key=lambda col: col.map(natural_sort_key)
+            )
+
+            return merged[["Section", base_col, comp_col]]
 
-        return merged
+        return pd.DataFrame({"Info": ["선택 필요"]})
 
-    return pd.DataFrame({"Info": ["선택 필요"]})
+    except Exception as e:
+        traceback.print_exc()
+        return pd.DataFrame({"Error": [str(e)]})
 
 # --------------------------
 # UI