Update app-backup.py

app-backup.py

@@ -23,7 +23,7 @@ def create_trend_chart(space_id, daily_ranks_df):
             title=f'Daily Rank Trend for {space_id}',
             labels={'date': 'Date', 'rank': 'Rank'},
             markers=True,
-            height=400
+            height=500  # 수정된 부분
         )
         
         fig.update_layout(
@@ -57,22 +57,43 @@ def create_trend_chart(space_id, daily_ranks_df):
         return None
 
 def get_duplicate_spaces(top_100_spaces):
-    # ID별 등장 횟수 계산
-    id_counts = top_100_spaces['id'].value_counts()
-    # 2회 이상 등장하는 ID만 필터링
-    duplicates = id_counts[id_counts >= 2]
-    return duplicates
+    # ID에서 username/spacename 형식에서 username만 추출
+    top_100_spaces['clean_id'] = top_100_spaces['id'].apply(lambda x: x.split('/')[0])
+    
+    # username별 trending score 합산
+    score_sums = top_100_spaces.groupby('clean_id')['trendingScore'].sum()
+    
+    # 디버깅용 출력
+    print("\n=== ID별 스코어 합산 결과 ===")
+    for id, score in score_sums.sort_values(ascending=False).head(20).items():
+        print(f"ID: {id}, Total Score: {score}")
+    
+    # 합산된 스코어로 정렬하여 상위 20개 선택
+    top_20_scores = score_sums.sort_values(ascending=False).head(20)
+    return top_20_scores
 
-def create_duplicates_chart(duplicates):
-    if duplicates.empty:
+def create_duplicates_chart(score_sums):
+    if score_sums.empty:
         return None
     
+    # 데이터프레임 생성
+    df = pd.DataFrame({
+        'id': score_sums.index,
+        'total_score': score_sums.values,
+        'rank': range(1, len(score_sums) + 1)
+    })
+    
+    # 디버깅용 출력
+    print("\n=== 차트 데이터 ===")
+    print(df)
+    
     fig = px.bar(
-        x=duplicates.index,
-        y=duplicates.values,
-        title="Spaces with Multiple Entries in Top 100",
-        labels={'x': 'Space ID', 'y': 'Number of Entries'},
-        height=400
+        df,
+        x='id',
+        y='rank',
+        title="Top 20 Spaces by Combined Trending Score",
+        height=500,  # 수정된 부분
+        text='total_score'
     )
     
     fig.update_layout(
@@ -80,11 +101,34 @@ def create_duplicates_chart(duplicates):
         margin=dict(t=50, r=20, b=40, l=40),
         plot_bgcolor='white',
         paper_bgcolor='white',
-        xaxis_tickangle=-45
+        xaxis_tickangle=-45,
+        yaxis=dict(
+            range=[20.5, 0.5],
+            tickmode='linear',
+            tick0=1,
+            dtick=1
+        )
     )
     
     fig.update_traces(
-        marker_color='#4CAF50'
+        marker_color='#4CAF50',
+        texttemplate='%{text:.1f}',
+        textposition='outside',
+        hovertemplate='ID: %{x}<br>Rank: %{y}<br>Total Score: %{text:.1f}<extra></extra>'
+    )
+    
+    fig.update_xaxes(
+        title_text="User ID",
+        showgrid=True,
+        gridwidth=1,
+        gridcolor='lightgray'
+    )
+    
+    fig.update_yaxes(
+        title_text="Rank",
+        showgrid=True,
+        gridwidth=1,
+        gridcolor='lightgray'
     )
     
     return fig
@@ -174,7 +218,7 @@ duplicates_chart = create_duplicates_chart(duplicates)
 # Gradio 인터페이스 생성
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("""
-    # HF Space Ranking Tracker
+    # HF Space Ranking Tracker(~30 Dailys)
     
     Track, analyze, and discover trending AI applications in the Hugging Face ecosystem. Our service continuously monitors and ranks all Spaces over a 30-day period, providing detailed analytics and daily ranking changes for the top 100 performers.
     """)
@@ -182,12 +226,12 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     with gr.Tabs():
         with gr.Tab("Dashboard"):
             with gr.Row(variant="panel"):
-                with gr.Column(scale=7):
+                with gr.Column(scale=5):  # 수정된 부분
                     trend_plot = gr.Plot(
                         label="Daily Rank Trend",
                         container=True
                     )
-                with gr.Column(scale=3):
+                with gr.Column(scale=5):  # 수정된 부분
                     duplicates_plot = gr.Plot(
                         label="Multiple Entries Analysis",
                         value=duplicates_chart,
@@ -199,14 +243,12 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
                     value="<div style='text-align: center; padding: 20px; color: #666;'>Select a space to view details</div>"
                 )
             
-            # 라디오 버튼을 먼저 정의
             space_selection = gr.Radio(
                 choices=[row['id'] for _, row in top_100_spaces.iterrows()],
                 value=None,
                 visible=False
             )
             
-            # HTML에서 JavaScript 이벤트를 직접 처리
             html_content = """
             <div style='display: flex; flex-wrap: wrap; gap: 16px; justify-content: center;'>
             """ + "".join([
@@ -299,7 +341,6 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
             Experience the pulse of the AI community through our daily updated rankings and discover what's making waves in the world of practical AI applications.
             """)
     
-    # 라디오 버튼 변경 이벤트 연결
     space_selection.change(
         fn=update_display,
         inputs=[space_selection],
@@ -308,4 +349,4 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch(share=True)            
+    demo.launch(share=True)