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+probability(debug&test)

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NY 2025-03-14 16:37:50 +08:00
parent 4ddb6f051f
commit f7f9ec2f82
1 changed files with 18 additions and 13 deletions
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31
pkg/dash/func/info_test.py
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@ -52,9 +52,14 @@ def update_test_info(n_clicks, test_date, test_time):
print(f"Error parsing date/time: {e}") 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).")] 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） # 计算周期开始时间（上一个或当前周五 12:00 PM）
days_since_last_friday = (test_datetime.weekday() - 4) % 7 # 4 表示周五 test_day_of_week = test_datetime.weekday() # 0 = Monday, 4 = Friday
cycle_start = test_datetime - timedelta(days=days_since_last_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) 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 # 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 # 调试：打印周期信息
print(f"Cycle Start: {cycle_start}, Cycle End: {cycle_end}") 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)] cycle_data = data[(data['datetime_est'] >= cycle_start) & (data['datetime_est'] <= test_datetime)]
if cycle_data.empty: if cycle_data.empty:
return [html.Div(f"No data available in cycle from {cycle_start} to {test_datetime}")] 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） # 构建测试结果表格（包含 Cycle End）
test_table_rows = [ 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=4), html.Td(str(cycle_start), colSpan=6)]),
html.Tr([html.Th("Cycle Start:", colSpan=2), 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=2), html.Td(str(cycle_end), 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=2), html.Td(str(tweet_count), 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=2), html.Td(str(actual_end_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=2), html.Td(formatted_probability, 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=2), html.Tr([html.Th("Does Actual Fall in Range?", colSpan=4),
html.Td("Yes" if prob_start <= actual_end_count <= prob_end else "No", 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'})]) colSpan=6, style={'color': 'green' if prob_start <= actual_end_count <= prob_end else 'red'})])
] ]
if prob_start <= actual_end_count <= prob_end: if prob_start <= actual_end_count <= prob_end:
expected_prob = (prob_max + prob_min) / 2 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)])) html.Td(f"~{expected_prob * 100:.2f}% (should be high if model fits)", colSpan=6)]))
else: 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'})])) 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'}) test_table = html.Table(test_table_rows, style={'width': '100%', 'textAlign': 'left', 'borderCollapse': 'collapse'})