Add stats to new person overview page, just copied the logic so will need to refactor when the dashboard page is refactored as well
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@@ -1,4 +1,5 @@
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from datetime import date, timedelta
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from utils import calculate_estimated_1rm, get_exercise_graph_model
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@@ -137,6 +138,10 @@ class PersonOverview:
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# Initialize the exercise sets dictionary
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exercise_sets = {exercise["id"]: {"exercise_id": exercise["id"], "name": exercise["name"], "sets": []} for exercise in exercises}
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workout_start_dates = []
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set_count = 0
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exercise_count = len(unique_exercise_ids)
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for row in result:
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workout_id = row["workout_id"]
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@@ -149,6 +154,8 @@ class PersonOverview:
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"exercises": {exercise["id"]: [] for exercise in exercises} # Keyed by exercise_id
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}
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workout_start_dates.append(row["start_date"])
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# Add topset to the corresponding exercise
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if row["exercise_id"] and row["topset_id"]:
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# Add to workout exercises
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@@ -165,6 +172,7 @@ class PersonOverview:
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"workout_start_date": row["start_date"],
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"exercise_name": row["exercise_name"]
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})
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set_count += 1
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# Transform into a list of rows
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for workout_id, workout in workout_map.items():
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@@ -172,11 +180,39 @@ class PersonOverview:
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exercise_progress_graphs = self.generate_exercise_progress_graphs(person_info["person_id"], exercise_sets)
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workout_count = len(workout_start_dates)
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stats = [{"Text": "Total Workouts", "Value": workout_count},
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{"Text": "Total Sets", "Value": set_count},
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{"Text": "Total Exercises", "Value": exercise_count}]
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if workout_count > 0:
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first_workout_date = min(workout_start_dates)
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last_workout_date = max(workout_start_dates)
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stats.append({"Text": "Days Since First Workout", "Value": (
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date.today() - first_workout_date).days})
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if workout_count >= 2:
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stats.append({"Text": "Days Since Last Workout",
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"Value": (
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date.today() - last_workout_date).days})
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average_number_sets_per_workout = round(
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set_count / workout_count, 1)
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stats.append({"Text": "Average sets per workout",
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"Value": average_number_sets_per_workout})
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training_duration = last_workout_date - first_workout_date
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if training_duration > timedelta(days=0):
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average_workouts_per_week = round(
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workout_count / (training_duration.days / 7), 1)
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stats.append({"Text": "Average Workouts Per Week",
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"Value": average_workouts_per_week})
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return {
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**person_info,
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"workouts": workouts,
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"selected_exercises": exercises,
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"exercise_progress_graphs": exercise_progress_graphs
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"exercise_progress_graphs": exercise_progress_graphs,
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"stats": stats
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}
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def generate_exercise_progress_graphs(self, person_id, exercise_sets):
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