Refactor render user and workouts function

app.py

@@ -313,66 +313,11 @@ def render_users_and_workouts():
                 'bike_id': user.bike_id,
                 'workouts_count': 0,
                 'workouts': [],
-                'workout_counts_by_week': 0,
+                'daily_duration_sparkline': '',
-                'duration_by_week': 0
+                'calendar_month': generate_calendar_monthly_view([], datetime.now().date())
             }
             users_data.append(user_data)
             continue
-        workout_counts_by_week = []
-        duration_by_week = []
-        # get start date from last workout
-        start_date = workouts[-1]['start_time_date'].date()
-        # get end date from first workout
-        end_date = workouts[0]['start_time_date'].date()
-        # get difference in days between start and end date
-        num_days = (end_date - start_date).days + 1
-        # calculate number of weeks between start and end date
-        num_weeks = (end_date - start_date).days // 7 + 1
-
-        for i in range(num_weeks):
-            # Calculate the start and end of the current week
-            start = start_date + timedelta(days=7*i)
-            end = start + timedelta(days=6)
-
-            # Get the workouts for the current week
-            weekly_workouts = [w for w in workouts if start <=
-                               w['start_time_date'].date() <= end]
-
-            # Calculate the workout counts and duration for the current week
-            workout_counts_by_week.append(len(weekly_workouts))
-            if weekly_workouts:
-                duration_by_week.append(
-                    int(sum([int(w['duration_minutes']) for w in weekly_workouts]))/len(weekly_workouts))
-
-        workout_counts_sparkline = sparklines.sparklines(
-            workout_counts_by_week)
-        duration_sparkline = sparklines.sparklines(
-            [int(w['duration_minutes']) for w in workouts])[0]
-
-        # REFACTOR
-
-        def date_range(start_date, end_date):
-            delta = end_date - start_date
-            return [(start_date + timedelta(days=i)) for i in range(delta.days + 1)]
-
-        dates = date_range(start_date, end_date)
-        daily_duration = []
-        for date in dates:
-            # check if workout exists for date
-            workout = [w for w in workouts if w['start_time_date'].date()
-                       == date]
-            if workout:
-                daily_duration.append(int(workout[0]['duration_minutes']))
-            else:
-                daily_duration.append(0)
-
-        # Reverse the daily duration list so that the most recent day is on the right
-        daily_duration.reverse()
-
-        daily_duration_sparkline = sparklines.sparklines(
-            daily_duration)[0]
-
-        # REFACTOR BOUNDARY
 
         user_data = {
             'id': user.id,
@@ -380,12 +325,7 @@ def render_users_and_workouts():
             'bike_id': user.bike_id,
             'workouts_count': len(workouts),
             'workouts': workouts,
-            'workout_counts_by_week': workout_counts_by_week,
+            'daily_duration_sparkline': generate_daily_duration_sparkline(workouts),
-            'duration_by_week': duration_by_week,
-            'num_days': num_days,
-            'workout_counts_sparkline': workout_counts_sparkline,
-            'duration_sparkline': duration_sparkline,
-            'daily_duration_sparkline': daily_duration_sparkline,
             'calendar_month': generate_calendar_monthly_view(workouts, datetime.now().date())
         }
         users_data.append(user_data)
@@ -560,6 +500,43 @@ def generate_calendar_monthly_view(workouts, selected_date):
     return calendar_month
 
 
+def date_range(start_date, end_date):
+    """Return a list of dates between the given start and end dates (inclusive)."""
+    delta = end_date - start_date
+    return [(start_date + timedelta(days=i)) for i in range(delta.days + 1)]
+
+
+def generate_daily_duration_sparkline(workouts):
+    """
+    Generate a sparkline string representation of daily workout durations.
+
+    Parameters:
+    - workouts (list of dict): Each dict should contain 'start_time_date' and 'duration_minutes' keys.
+
+    Returns:
+    - str: Sparkline representation of daily durations.
+    """
+    if not workouts:
+        return ''
+
+    # Determine date range based on workouts data
+    start_date = workouts[-1]['start_time_date'].date()
+    end_date = workouts[0]['start_time_date'].date()
+    dates_in_range = date_range(start_date, end_date)
+
+    # Build a mapping of dates to their respective durations for easier lookup
+    workouts_by_date = {w['start_time_date'].date(): int(
+        w['duration_minutes']) for w in workouts}
+
+    daily_durations = [workouts_by_date.get(
+        date, 0) for date in dates_in_range]
+
+    # Reverse the list to make the most recent day appear on the right
+    daily_durations.reverse()
+
+    return sparklines.sparklines(daily_durations)[0]
+
+
 def toDate(dateString):
     return datetime.strptime(dateString, "%Y-%m-%d").date()