docs: refactor event handling functions and streamline output parameters

app.py

@@ -1003,27 +1003,6 @@ def create_intensity_map(pga_list, target_names, epicenter_lat=None, epicenter_l
                 hoverinfo='skip'
             ))
 
-    # 如果有震央位置，標記震央（紅色大點）
-    if epicenter_lat and epicenter_lon:
-        fig.add_trace(go.Scattermap(
-            lat=[epicenter_lat],
-            lon=[epicenter_lon],
-            mode='markers',
-            marker=dict(size=25, color='red'),
-            text=[f'震央<br>({epicenter_lat:.3f}, {epicenter_lon:.3f})'],
-            hovertemplate='%{text}<extra></extra>',
-            name='震央',
-            showlegend=True
-        ))
-
-        fig.add_trace(go.Scattermap(
-            lat=[epicenter_lat],
-            lon=[epicenter_lon],
-            mode='markers',
-            marker=dict(size=10, color='white'),
-            showlegend=False
-        ))
-
     # 設置地圖佈局
     fig.update_layout(
         map=dict(
@@ -1072,41 +1051,6 @@ def load_observed_intensity_image(event_name):
     return None
 
 
-def on_event_select(event_name):
-    """當選擇事件時立即載入實際觀測震度圖"""
-    observed_intensity_path = load_observed_intensity_image(event_name)
-    if observed_intensity_path:
-        return observed_intensity_path
-    else:
-        return None
-
-
-def on_event_change(event_name, start_time, duration, epicenter_lon, epicenter_lat):
-    """
-    當選擇事件時，同時更新波形地圖、波形圖、實際觀測圖
-
-    Returns:
-        (station_map, waveform_plot, info_text, observed_intensity_path)
-    """
-    try:
-        # 同時更新波形地圖
-        station_map, waveform_plot, info_text, _ = load_and_display_waveform(
-            event_name, start_time, duration, epicenter_lon, epicenter_lat
-        )
-
-        # 同時更新實際觀測圖
-        observed_intensity_path = load_observed_intensity_image(event_name)
-
-        return station_map, waveform_plot, info_text, observed_intensity_path
-
-    except Exception as e:
-        logger.error(f"事件切換時發生錯誤: {e}")
-        return None, None, f"錯誤: {str(e)}", None
-
-
-
-
-
 def load_and_display_waveform(event_name, start_time, duration):
     """載入並顯示波形，讓使用者確認範圍
 
@@ -1139,24 +1083,14 @@ def load_and_display_waveform(event_name, start_time, duration):
         # 4. 創建輸入測站地圖
         station_map = create_input_station_map(selected_stations, epicenter_lat, epicenter_lon)
 
-        # 明示實際用站數（少於 25 站時顯示警告）
-        info_text = f"✅ 已載入波形資料\n"
-        info_text += f"開始時間: {start_time:.1f} 秒\n"
-        info_text += f"時間長度: {duration:.1f} 秒 ({start_time:.1f} - {end_time:.1f})\n"
-        info_text += f"震央位置: ({epicenter_lon:.4f}, {epicenter_lat:.4f})\n"
-        info_text += f"選擇了 {len(selected_stations)} 個最近的測站"
-        if len(selected_stations) < 25:
-            info_text += f" ⚠️（目標 25 個，實際 {len(selected_stations)} 個）"
-        info_text += "\n請確認波形範圍後，點擊「執行預測」按鈕"
-
         logger.info("波形載入完成")
-        return station_map, waveform_plot, info_text, gr.update(interactive=True)
+        return station_map, waveform_plot, gr.update(interactive=True)
 
     except Exception as e:
         logger.error(f"波形載入發生錯誤: {e}")
         import traceback
         traceback.print_exc()
-        return None, None, f"錯誤: {str(e)}", gr.update(interactive=False)
+        return None, None, gr.update(interactive=False)
 
 
 def predict_intensity(event_name, start_time, duration):
@@ -1267,26 +1201,14 @@ def predict_intensity(event_name, start_time, duration):
         # 載入實際觀測震度圖（filepath；左側以 800 高顯示）
         observed_intensity_path = load_observed_intensity_image(event_name)
 
-        # 統計資訊（包含目標點數）
-        max_intensity = max([calculate_intensity(pga, label=True) for pga in pga_list])
-        stats = f"✅ 預測完成！\n"
-        stats += f"開始時間: {start_time:.1f} 秒\n"
-        stats += f"時間長度: {duration:.1f} 秒 ({start_time:.1f} - {end_time:.1f})\n"
-        stats += f"震央位置: ({epicenter_lon:.4f}, {epicenter_lat:.4f})\n"
-        stats += f"使用測站數: {len(waveforms)} / 25\n"
-        if missing_components_count > 0:
-            stats += f"⚠️ 缺少 N/E 分量測站數: {missing_components_count} (已以 Z 分量代替)\n"
-        stats += f"預測目標點數: {len(all_target_names)}\n"
-        stats += f"預測最大震度: {max_intensity}"
-
         logger.info("預測完成！")
-        return observed_intensity_path, intensity_map, stats
+        return observed_intensity_path, intensity_map
 
     except Exception as e:
         logger.error(f"預測過程發生錯誤: {e}")
         import traceback
         traceback.print_exc()
-        return None, None, f"錯誤: {str(e)}"
+        return None, None
 
 
 def on_full_workflow(event_name, start_time, duration):
@@ -1296,7 +1218,7 @@ def on_full_workflow(event_name, start_time, duration):
     此函數用於首次應用加載與事件切換時自動執行完整流程
 
     返回所有必要的 UI 組件輸出：
-    (station_map, waveform_plot, info_text, predicted_map, stats_text, observed_img)
+    (station_map, waveform_plot, predicted_map, observed_img)
 
     spec #2：測站選擇上限 (25 站)、波形取樣率 (100 Hz)、時間窗長度 (30 秒)
     spec #3：推論流程、PGA → 震度轉換
@@ -1306,27 +1228,27 @@ def on_full_workflow(event_name, start_time, duration):
 
         # 步驟 1: 載入波形
         logger.info(f"[on_full_workflow] 步驟 1/3: 波形載入...")
-        station_map, waveform_plot, info_text, _ = load_and_display_waveform(
+        station_map, waveform_plot, _ = load_and_display_waveform(
             event_name, start_time, duration
         )
 
         if station_map is None:
             logger.error("[on_full_workflow] 波形載入失敗")
-            return None, None, info_text, None, "波形載入失敗", None
+            return None, None, None, None
 
         # 步驟 2: 執行推論
         logger.info(f"[on_full_workflow] 步驟 2/3: 模型推論...")
-        observed_img, predicted_map, stats_text = predict_intensity(
+        observed_img, predicted_map = predict_intensity(
             event_name, start_time, duration
         )
 
         if predicted_map is None:
             logger.error("[on_full_workflow] 推論失敗")
-            return station_map, waveform_plot, info_text, None, stats_text, observed_img
+            return station_map, waveform_plot, None, observed_img
 
         logger.info(f"[on_full_workflow] 步驟 3/3: 完成")
 
-        return station_map, waveform_plot, info_text, predicted_map, stats_text, observed_img
+        return station_map, waveform_plot, predicted_map, observed_img
 
     except Exception as e:
         logger.error(f"[on_full_workflow] 完整工作流發生錯誤: {e}")
@@ -1354,8 +1276,7 @@ with gr.Blocks(title="TTSAM 震度預測系統", fill_height=True) as demo:
                 系統會自動選擇距離震央最近的 25 個測站
             """)
 
-            info_output = gr.Textbox(label="狀態資訊", lines=6, interactive=False)
-            stats_output = gr.Textbox(label="預測統計", lines=4, interactive=False)
+
 
         # 右上：輸入參數
         with gr.Column(scale=1):
@@ -1416,19 +1337,19 @@ with gr.Blocks(title="TTSAM 震度預測系統", fill_height=True) as demo:
             *on_full_workflow(event_name, start_time, duration),
         ),
         inputs=[event_dropdown, start_slider, duration_slider],
-        outputs=[input_station_map, waveform_plot, info_output, predicted_intensity_map, stats_output, observed_intensity_image]
+        outputs=[input_station_map, waveform_plot, predicted_intensity_map, observed_intensity_image]
     )
 
     load_waveform_btn.click(
         fn=load_and_display_waveform,
         inputs=[event_dropdown, start_slider, duration_slider],
-        outputs=[input_station_map, waveform_plot, info_output, predict_btn]
+        outputs=[input_station_map, waveform_plot, predict_btn]
     )
 
     predict_btn.click(
         fn=predict_intensity,
         inputs=[event_dropdown, start_slider, duration_slider],
-        outputs=[observed_intensity_image, predicted_intensity_map, stats_output]
+        outputs=[observed_intensity_image, predicted_intensity_map]
     )
 
     # 應用啟動時自動執行完整工作流
@@ -1437,7 +1358,7 @@ with gr.Blocks(title="TTSAM 震度預測系統", fill_height=True) as demo:
             *on_full_workflow(event_name, start_time, duration),
         ),
         inputs=[event_dropdown, start_slider, duration_slider],
-        outputs=[input_station_map, waveform_plot, info_output, predicted_intensity_map, stats_output, observed_intensity_image]
+        outputs=[input_station_map, waveform_plot, predicted_intensity_map, observed_intensity_image]
     )
 
 demo.launch()