diff --git a/pkg/dash/func/info_test.py b/pkg/dash/func/info_test.py
index f6caa0e..cde2dc8 100644
--- a/pkg/dash/func/info_test.py
+++ b/pkg/dash/func/info_test.py
@@ -52,9 +52,14 @@ def update_test_info(n_clicks, test_date, test_time):
         print(f"Error parsing date/time: {e}")
         return [html.Div("Invalid date or time format. Use YYYY-MM-DD and HH:MM:SS (e.g., 12:00:00).")]
 
-    # 计算周期开始时间（上一个周五 12:00 PM）
-    days_since_last_friday = (test_datetime.weekday() - 4) % 7  # 4 表示周五
-    cycle_start = test_datetime - timedelta(days=days_since_last_friday)
+    # 计算周期开始时间（上一个或当前周五 12:00 PM）
+    test_day_of_week = test_datetime.weekday()  # 0 = Monday, 4 = Friday
+    test_hour = test_datetime.hour
+    days_since_last_friday = (test_day_of_week - 4) % 7  # 4 表示周五
+    if test_hour < 12 and test_day_of_week == 4:  # Before 12 PM on Friday
+        cycle_start = test_datetime - timedelta(days=days_since_last_friday + 7)  # Previous Friday
+    else:
+        cycle_start = test_datetime - timedelta(days=days_since_last_friday)  # Current or next Friday
     cycle_start = cycle_start.replace(hour=12, minute=0, second=0, microsecond=0)
 
     # 确保周期结束时间（下周五 12:00 PM EDT）考虑夏令时
@@ -70,7 +75,7 @@ def update_test_info(n_clicks, test_date, test_time):
     # 调试：打印周期信息
     print(f"Cycle Start: {cycle_start}, Cycle End: {cycle_end}")
 
-    # 过滤周期内的数据
+    # 过滤周期内的数据（从周期开始到测试时间）
     cycle_data = data[(data['datetime_est'] >= cycle_start) & (data['datetime_est'] <= test_datetime)]
     if cycle_data.empty:
         return [html.Div(f"No data available in cycle from {cycle_start} to {test_datetime}")]
@@ -96,22 +101,22 @@ def update_test_info(n_clicks, test_date, test_time):
 
     # 构建测试结果表格（包含 Cycle End）
     test_table_rows = [
-        html.Tr([html.Th("Test Date and Time:", colSpan=2), html.Td(str(test_datetime), colSpan=6)]),
-        html.Tr([html.Th("Cycle Start:", colSpan=2), html.Td(str(cycle_start), colSpan=6)]),
-        html.Tr([html.Th("Cycle End:", colSpan=2), html.Td(str(cycle_end), colSpan=6)]),
-        html.Tr([html.Th("Tweet Count at Test Time:", colSpan=2), html.Td(str(tweet_count), colSpan=6)]),
-        html.Tr([html.Th("Actual Final Tweet Count:", colSpan=2), html.Td(str(actual_end_count), colSpan=6)]),
-        html.Tr([html.Th(f"Predicted Range ({int(prob_start)}-{int(prob_end)}):", colSpan=2), html.Td(formatted_probability, colSpan=6)]),
-        html.Tr([html.Th("Does Actual Fall in Range?", colSpan=2),
+        html.Tr([html.Th("Cycle Start:", colSpan=4), html.Td(str(cycle_start), colSpan=6)]),
+        html.Tr([html.Th("Test Date and Time:", colSpan=4), html.Td(str(test_datetime), colSpan=6)]),
+        html.Tr([html.Th("Cycle End:", colSpan=4), html.Td(str(cycle_end), colSpan=6)]),
+        html.Tr([html.Th("Tweet Count at Test Time:", colSpan=4), html.Td(str(tweet_count), colSpan=6)]),
+        html.Tr([html.Th("Actual Final Tweet Count:", colSpan=4), html.Td(str(actual_end_count), colSpan=6)]),
+        html.Tr([html.Th(f"Predicted Range ({int(prob_start)}-{int(prob_end)}):", colSpan=4), html.Td(formatted_probability, colSpan=6)]),
+        html.Tr([html.Th("Does Actual Fall in Range?", colSpan=4),
                  html.Td("Yes" if prob_start <= actual_end_count <= prob_end else "No",
                          colSpan=6, style={'color': 'green' if prob_start <= actual_end_count <= prob_end else 'red'})])
     ]
     if prob_start <= actual_end_count <= prob_end:
         expected_prob = (prob_max + prob_min) / 2
-        test_table_rows.append(html.Tr([html.Th("Expected Probability:", colSpan=2),
+        test_table_rows.append(html.Tr([html.Th("Expected Probability:", colSpan=4),
                                         html.Td(f"~{expected_prob * 100:.2f}% (should be high if model fits)", colSpan=6)]))
     else:
-        test_table_rows.append(html.Tr([html.Th("Note:", colSpan=2),
+        test_table_rows.append(html.Tr([html.Th("Note:", colSpan=4),
                                         html.Td("Model prediction does not match actual outcome.", colSpan=6, style={'color': 'red'})]))
 
     test_table = html.Table(test_table_rows, style={'width': '100%', 'textAlign': 'left', 'borderCollapse': 'collapse'})