Refactor calendar (month and year view), switching to vertical slice arch. Also in progress of refactoring of stats so they are retreived after inital page load for performance sake

features/stats.py

@@ -0,0 +1,85 @@
+from collections import Counter
+from datetime import date
+
+class Stats:
+    def __init__(self, db_connection_method):
+        self.execute = db_connection_method
+    
+    def get_stats_from_topsets(self, topsets):
+        if not topsets:
+            return []
+
+        # Extracting necessary fields
+        workout_ids = [t['WorkoutId'] for t in topsets if t['WorkoutId']]
+        person_ids = [t['PersonId'] for t in topsets if t['PersonId']]
+        start_dates = [t['StartDate'] for t in topsets if t['StartDate']]
+
+        workout_count = len(set(workout_ids))
+        people_count = len(set(person_ids))
+        total_sets = len(topsets)
+        stats = [
+            {"Text": "Total Workouts", "Value": workout_count},
+            {"Text": "Total Sets", "Value": total_sets}
+        ]
+
+        if people_count > 1:
+            stats.append({"Text": "People tracked", "Value": people_count})
+
+        if workout_count > 0:
+            first_workout_date = min(start_dates)
+            last_workout_date = max(start_dates)
+            current_date = date.today()
+
+            stats.append({"Text": "Days Since First Workout",
+                        "Value": (current_date - first_workout_date).days})
+
+            if workout_count >= 2:
+                stats.append({"Text": "Days Since Last Workout",
+                            "Value": (current_date - last_workout_date).days})
+
+                average_sets_per_workout = round(total_sets / workout_count, 1)
+                stats.append({"Text": "Average sets per workout",
+                            "Value": average_sets_per_workout})
+
+                training_duration = last_workout_date - first_workout_date
+                if training_duration.days > 0:
+                    average_workouts_per_week = round(
+                        workout_count / (training_duration.days / 7), 1)
+                    stats.append({"Text": "Average Workouts Per Week",
+                                "Value": average_workouts_per_week})
+
+        return stats
+
+
+    def fetch_stats_for_person(self, person_id):
+        query = """
+        SELECT
+            t.workout_id AS "WorkoutId",
+            w.person_id AS "PersonId",
+            w.start_date AS "StartDate"
+        FROM
+            topset t
+            JOIN workout w ON t.workout_id = w.workout_id
+            JOIN person p ON w.person_id = p.person_id
+        WHERE p.person_id = %s
+        """
+        workouts_data = self.execute(query, [person_id])
+
+        person_stats = self.get_stats_from_topsets(workouts_data)
+        return person_stats
+    
+    def fetch_all_stats(self):
+        query = """
+        SELECT
+            t.workout_id AS "WorkoutId",
+            w.person_id AS "PersonId",
+            w.start_date AS "StartDate"
+        FROM
+            topset t
+            JOIN workout w ON t.workout_id = w.workout_id
+            JOIN person p ON w.person_id = p.person_id;
+        """
+        workouts_data = self.execute(query, [])
+
+        person_stats = self.get_stats_from_topsets(workouts_data)
+        return person_stats