diff --git a/pkg/dash/app_html.py b/pkg/dash/app_html.py
index 04333be..91565ee 100644
--- a/pkg/dash/app_html.py
+++ b/pkg/dash/app_html.py
@@ -1,7 +1,7 @@
+from datetime import timedelta, datetime
from dash import dcc, html
from pkg.config import interval_options, days_options, render_data
-
def layout_config(app):
app.layout = html.Div([
html.Div(
@@ -229,9 +229,47 @@ def layout_config(app):
'width': '50%',
'marginTop': '10px',
'borderCollapse': 'collapse'
+ }),
+ # 新增测试区域
+ html.H2("Historical Probability Test", style={'marginTop': '20px'}),
+ html.Table([
+ html.Tr([
+ html.Td("Test Date:", style={'paddingRight': '10px'}),
+ html.Td(
+ dcc.DatePickerSingle(
+ id='test-date-input',
+ date=(datetime.now().date() - timedelta(days=1)).strftime('%Y-%m-%d'), # 默认昨天
+ display_format='YYYY-MM-DD',
+ style={'width': '100%'}
+ )
+ )
+ ]),
+ html.Tr([
+ html.Td("Test Time:", style={'paddingRight': '10px'}),
+ html.Td(
+ dcc.Input(
+ id='test-time-input',
+ type='text',
+ placeholder='HH:MM:SS (e.g., 12:00:00)',
+ value='12:00:00',
+ style={'width': '100%'}
+ )
+ )
+ ]),
+ html.Tr([
+ html.Td("Test Probability:", style={'paddingRight': '10px'}),
+ html.Td(
+ html.Button('Test', id='test-button', n_clicks=0)
+ )
+ ]),
+ html.Tr(id='test-info-tooltip', style={'margin': '10px'})
+ ], style={
+ 'width': '50%',
+ 'marginTop': '10px',
+ 'borderCollapse': 'collapse'
})
], style={'marginLeft': '50px'}),
dcc.Interval(id='clock-interval', interval=1000, n_intervals=0)
])
- return app
+ return app
\ No newline at end of file
diff --git a/pkg/dash/func/info_test.py b/pkg/dash/func/info_test.py
new file mode 100644
index 0000000..f045c2e
--- /dev/null
+++ b/pkg/dash/func/info_test.py
@@ -0,0 +1,106 @@
+from pkg.dash.func.info_func import *
+from pkg.dash.app_init import app
+from dash.dependencies import Input, Output
+from dash import html
+import pandas as pd
+from datetime import timedelta
+
+@app.callback(
+ [Output('test-info-tooltip', 'children')],
+ [Input('test-button', 'n_clicks'),
+ Input('test-date-input', 'date'),
+ Input('test-time-input', 'value')]
+)
+def update_test_info(n_clicks, test_date, test_time):
+ if n_clicks == 0:
+ return [html.Div("Click 'Test' to see historical probability results.")]
+
+ est = pytz.timezone('US/Eastern')
+
+ # 解析测试日期和时间
+ try:
+ test_date = pd.to_datetime(test_date).date()
+ test_datetime = pd.to_datetime(f"{test_date} {test_time}").tz_localize(est) # 使用 est
+ except ValueError:
+ return [html.Div("Invalid date or time format. Use YYYY-MM-DD and HH:MM:SS (e.g., 12:00:00).")]
+
+ # 1. 计算到 test_datetime 的累计推文数（模拟当时的 tweet_count）
+ data = render_data.global_agg_df.copy()
+ historical_data = data[data['datetime_est'] <= test_datetime]
+ if historical_data.empty:
+ return [html.Div(f"No data available up to {test_datetime}")]
+ tweet_count = historical_data['tweet_count'].sum()
+
+ # 2. 计算实际最终推文数（到当天结束时的总数）
+ day_end = pd.to_datetime(f"{test_date} 23:59:59").tz_localize(est) # 使用 est
+ actual_data = data[(data['date'] == test_date) & (data['datetime_est'] <= day_end)]
+ if actual_data.empty:
+ return [html.Div(f"No data available for {test_date}")]
+ actual_end_count = actual_data['tweet_count'].sum()
+
+ # 3. 模拟 days_to_next_friday（从 test_datetime 到下周五）
+ days_to_next_friday = (4 - test_date.weekday()) % 7
+ next_friday = (test_datetime.replace(hour=12, minute=0, second=0, microsecond=0) +
+ timedelta(days=days_to_next_friday))
+ if test_datetime > next_friday:
+ next_friday += timedelta(days=7)
+ days_to_next_friday = (next_friday - test_datetime).total_seconds() / (24 * 60 * 60)
+
+ # 4. 设置预测范围（基于实际最终推文数的 ±10%）
+ prob_start = actual_end_count * 0.9 # 90% of actual
+ prob_end = actual_end_count * 1.1 # 110% of actual
+
+ # 5. 调用原始的 calculate_tweet_probability() 计算概率
+ probability = calculate_tweet_probability(tweet_count, days_to_next_friday, prob_start, prob_end)
+ prob_min, prob_max = map(float, probability.split(" - "))
+ formatted_probability = f"{prob_min * 100:.2f}% - {prob_max * 100:.2f}%"
+
+ # 6. 构建测试结果表格
+ test_table_rows = [
+ html.Tr([
+ html.Th("Test Date and Time:", colSpan=2, style={'paddingRight': '10px'}),
+ html.Td(str(test_datetime), colSpan=6, style={'paddingRight': '10px'})
+ ]),
+ html.Tr([
+ html.Th("Tweet Count at Test Time:", colSpan=2, style={'paddingRight': '10px'}),
+ html.Td(str(tweet_count), colSpan=6, style={'paddingRight': '10px'})
+ ]),
+ html.Tr([
+ html.Th("Actual Final Tweet Count:", colSpan=2, style={'paddingRight': '10px'}),
+ html.Td(str(actual_end_count), colSpan=6, style={'paddingRight': '10px'})
+ ]),
+ html.Tr([
+ html.Th(f"Predicted Range ({int(prob_start)}-{int(prob_end)}):", colSpan=2, style={'paddingRight': '10px'}),
+ html.Td(formatted_probability, colSpan=6, style={'paddingRight': '10px'})
+ ]),
+ html.Tr([
+ html.Th("Does Actual Fall in Range?", colSpan=2, style={'paddingRight': '10px'}),
+ html.Td(
+ "Yes" if prob_start <= actual_end_count <= prob_end else "No",
+ colSpan=6,
+ style={'paddingRight': '10px', '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, style={'paddingRight': '10px'}),
+ html.Td(f"~{expected_prob * 100:.2f}% (should be high if model fits)", colSpan=6, style={'paddingRight': '10px'})
+ ])
+ )
+ else:
+ test_table_rows.append(
+ html.Tr([
+ html.Th("Note:", colSpan=2, style={'paddingRight': '10px'}),
+ html.Td("Model prediction does not match actual outcome.", colSpan=6, style={'paddingRight': '10px', 'color': 'red'})
+ ])
+ )
+
+ test_table = html.Table(test_table_rows, style={
+ 'width': '100%',
+ 'textAlign': 'left',
+ 'borderCollapse': 'collapse'
+ })
+ return [test_table]
\ No newline at end of file