fix

pkg/dash/func/info.py

@@ -1,7 +1,8 @@
+import pytz
+from pkg.tool import get_tweets_since_last_friday
 from pkg.dash.app_init import app
 from dash.dependencies import Input, Output
 from datetime import timedelta
-import pytz
 from datetime import datetime
 from dash import html
 
@@ -10,18 +11,36 @@ from dash import html
     [Input('clock-interval', 'n_intervals')]
 )
 def update_info(n):
-    table = html.Table([
-        html.Tr([html.Td('Pace(Xtracker)', style={'textAlign': 'center'}),
-                 html.Td(calculate_tweet_pace(),style={'textAlign': 'center'})]),
-    ], style={
+    # 获取所有指标
+    pace = calculate_tweet_pace()
+    decline_rates = calculate_pace_decline_rate()
+    pace_increases = calculate_pace_increase_in_hour()
+    table_rows = [
+        html.Tr([html.Td('Pace (Xtracker)', style={'textAlign': 'center'}),
+                 html.Td(pace, style={'textAlign': 'center'})]),
+        html.Tr([html.Td('-Minute', style={'textAlign': 'center'}),
+                 html.Td(decline_rates['decline_per_minute'], style={'textAlign': 'center'})]),
+        html.Tr([html.Td('+0(1h)', style={'textAlign': 'center'}),
+                 html.Td(decline_rates['decline_per_hour'], style={'textAlign': 'center'})]),
+        html.Tr([html.Td('+1(1h)', style={'textAlign': 'center'}),
+                 html.Td(pace_increases['increase_1'], style={'textAlign': 'center'})]),
+        html.Tr([html.Td('+5(1h)', style={'textAlign': 'center'}),
+                 html.Td(pace_increases['increase_5'], style={'textAlign': 'center'})]),
+        html.Tr([html.Td('+10(1h)', style={'textAlign': 'center'}),
+                 html.Td(pace_increases['increase_10'], style={'textAlign': 'center'})]),
+        html.Tr([html.Td('+20(1h)', style={'textAlign': 'center'}),
+                 html.Td(pace_increases['increase_20'], style={'textAlign': 'center'})]),
+        html.Tr([html.Td('+30(1h)', style={'textAlign': 'center'}),
+                 html.Td(pace_increases['increase_30'], style={'textAlign': 'center'})]),
+    ]
+    table = html.Table(table_rows, style={
         'width': '100%',
         'textAlign': 'left',
         'borderCollapse': 'collapse'
     })
     return [table]
 
-
-def calculate_tweet_pace():
+def get_pace_params():
     est = pytz.timezone('US/Eastern')
     now = datetime.now(est)
     today = now.date()
@@ -33,6 +52,34 @@ def calculate_tweet_pace():
     if now > next_friday:
         next_friday += timedelta(days=7)
     days_to_next_friday = (next_friday - now).total_seconds() / (24 * 60 * 60)
-    tweet_count = 440
+    tweet_count = get_tweets_since_last_friday()
+    return tweet_count, days_to_next_friday
+
+def calculate_tweet_pace():
+    tweet_count, days_to_next_friday = get_pace_params()
     pace = (tweet_count / (7 - days_to_next_friday)) * days_to_next_friday + tweet_count
     return round(pace, 6) if pace > 0 else float(tweet_count)
+
+def calculate_pace_decline_rate():
+    tweet_count, days_to_next_friday = get_pace_params()
+    T = 7
+    decline_per_day = -(tweet_count * T) / ((T - days_to_next_friday) ** 2)
+    decline_per_hour = decline_per_day / 24
+    decline_per_minute = decline_per_hour / 60
+    return {
+        'decline_per_hour': round(decline_per_hour, 6),
+        'decline_per_minute': round(decline_per_minute, 6)
+    }
+
+def calculate_pace_increase_in_hour():
+    tweet_count, days_to_next_friday = get_pace_params()
+    current_pace = (tweet_count / (7 - days_to_next_friday)) * days_to_next_friday + tweet_count
+    future_days = days_to_next_friday - (1 / 24)
+    increments = [1, 5, 10, 20, 30]
+    pace_increases = {}
+    for increment in increments:
+        new_tweet_count = tweet_count + increment
+        new_pace = (new_tweet_count / (7 - future_days)) * future_days + new_tweet_count
+        pace_increase = new_pace - current_pace
+        pace_increases[f'increase_{increment}'] = round(pace_increase, 6)
+    return pace_increases

pkg/tool.py

@@ -64,13 +64,8 @@ def get_tweets_since_last_friday():
         last_friday_datetime = est.localize(datetime.combine(last_friday, datetime.strptime("12:00", "%H:%M").time()))
     if hasattr(render_data, 'global_df') and not render_data.global_df.empty:
         df = render_data.global_df.copy()
-        print(f"NaT count in datetime_est: {df['datetime_est'].isna().sum()}")
-        print(f"Data datetime range: {df['datetime_est'].min()} to {df['datetime_est'].max()}")
         mask = df['datetime_est'] >= last_friday_datetime
         filtered_df = df[mask]
-        print(f"Filtered rows: {len(filtered_df)}")
-        print(f"Filtered datetime range: {filtered_df['datetime_est'].min()} to {filtered_df['datetime_est'].max()}")
         tweet_count = len(filtered_df)
-        print(f"Tweet count: {tweet_count}")
         return int(tweet_count)
     return 0