Update app.py

app.py

@@ -95,22 +95,55 @@ def get_total_scores(daily_ranks_df):
         return pd.DataFrame()
 
 def create_score_chart(total_scores):
+    """
+    - total_scores가 비었을 경우 'No multiple entries found'라는 제목의
+      간단한 placeholder 차트를 반환하여, 오른쪽 상단 영역이 비어 있지 않도록 함.
+    - 상위 10개만 표시 (total_score 기준 내림차순).
+    """
     try:
         if total_scores.empty:
-            print("No multiple entries found")
-            return None
+            # 중복된 ID 자체가 전혀 없는 경우
+            placeholder_df = pd.DataFrame({"id": ["No multiple entries"], "total_score": [0]})
+            fig = px.bar(
+                placeholder_df,
+                x="total_score",
+                y="id",
+                orientation='h'
+            )
+            fig.update_layout(
+                title="No multiple entries found in Top 100",
+                xaxis_title="Total Trending Score",
+                yaxis_title="Space ID",
+                plot_bgcolor='white',
+                paper_bgcolor='white',
+                showlegend=False,
+                margin=dict(l=200, r=20, t=40, b=40),
+            )
+            return fig
         
-        # 데이터프레임 준비
-        # 여기서 total_score 기준으로 내림차순 정렬 후 상위 10개만 선택
+        # total_score 기준으로 내림차순 정렬 후 상위 10개만 차트에 표시
         df = total_scores.reset_index().sort_values('total_score', ascending=False).head(10)
         
         if df.empty:
-            print("No multiple entries found in top 10")
-            return None
-        
-        print("Data for chart (top 10):", df)
-        
-        # 수평 막대 차트 생성
+            # 중복된 ID는 존재하지만 스코어가 0이거나 등등, 의도치 않게 비었을 경우 대비
+            placeholder_df = pd.DataFrame({"id": ["No multiple entries"], "total_score": [0]})
+            fig = px.bar(
+                placeholder_df,
+                x="total_score",
+                y="id",
+                orientation='h'
+            )
+            fig.update_layout(
+                title="No multiple entries found in Top 100",
+                xaxis_title="Total Trending Score",
+                yaxis_title="Space ID",
+                plot_bgcolor='white',
+                paper_bgcolor='white',
+                showlegend=False,
+                margin=dict(l=200, r=20, t=40, b=40),
+            )
+            return fig
+
         fig = px.bar(
             df,
             y='id',
@@ -124,7 +157,6 @@ def create_score_chart(total_scores):
             ]
         )
         
-        # 차트 스타일 설정
         fig.update_layout(
             xaxis_title="Total Trending Score",
             yaxis_title="Space ID",
@@ -132,17 +164,15 @@ def create_score_chart(total_scores):
             paper_bgcolor='white',
             showlegend=False,
             margin=dict(l=200, r=20, t=40, b=40),
-            yaxis={'categoryorder': 'total ascending'}  # 점수 큰 순서대로 나타내도록 설정
+            yaxis={'categoryorder': 'total ascending'}
         )
         
-        # 막대 스타일 설정
         fig.update_traces(
             marker_color='#4CAF50',
             textposition='outside',
             textfont=dict(size=12)
         )
         
-        # 그리드 추가
         fig.update_xaxes(showgrid=True, gridwidth=1, gridcolor='lightgray')
         
         return fig
@@ -151,7 +181,6 @@ def create_score_chart(total_scores):
         traceback.print_exc()
         return None
 
-
 def update_display(selection):
     global daily_ranks_df
     
@@ -234,7 +263,7 @@ print("Data loaded successfully!")
 # 총 스코어 분석
 print("Analyzing total scores...")
 total_scores = get_total_scores(daily_ranks_df)
-score_chart = create_score_chart(total_scores)
+score_chart = create_score_chart(total_scores)  # <- 여기서 차트 생성
 
 # Gradio 인터페이스 생성
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
@@ -247,23 +276,20 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     with gr.Tabs():
         with gr.Tab("Dashboard"):
             with gr.Row(variant="panel"):
+                # 왼쪽(Trend Plot)
                 with gr.Column(scale=7):
                     trend_plot = gr.Plot(
                         label="Daily Rank Trend",
                         container=True
                     )
+                # 오른쪽(Score Chart)
                 with gr.Column(scale=3):
-                    if score_chart:
-                        score_plot = gr.Plot(
-                            value=score_chart,
-                            label=f"Multiple Entries Analysis",
-                            container=True
-                        )
-                    else:
-                        score_plot = gr.Plot(
-                            label="No multiple entries found",
-                            container=True
-                        )
+                    # 이미 생성한 score_chart를 기본값으로 넣어줌
+                    score_plot = gr.Plot(
+                        value=score_chart,
+                        label="Multiple Entries Analysis (Top 10)",
+                        container=True
+                    )
             
             with gr.Row():
                 info_box = gr.HTML(
@@ -379,4 +405,5 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch(share=True)            
+    demo.launch(share=True)
+