Refactor stats endpoint so supports filtering people and make dashboard page utilise it

features/stats.py

@@ -84,7 +84,7 @@ class Stats:
 
         return stats
 
-    def fetch_stats_for_person(self, person_id, min_date=None, max_date=None, selected_exercise_ids=None):
+    def fetch_stats(self, selected_people_ids=None, min_date=None, max_date=None, selected_exercise_ids=None):
         # Base query
         query = """
         SELECT
@@ -97,45 +97,35 @@ class Stats:
             JOIN workout w ON t.workout_id = w.workout_id
             JOIN person p ON w.person_id = p.person_id
             JOIN exercise e ON t.exercise_id = e.exercise_id
-        WHERE p.person_id = %s
         """
 
         # Parameters for the query
-        params = [person_id]
+        params = []
 
         # Add optional filters
+        conditions = []  # Collect conditions dynamically
+        if selected_people_ids:
+            placeholders = ", ".join(["%s"] * len(selected_people_ids))
+            conditions.append(f"p.person_id IN ({placeholders})")
+            params.extend(selected_people_ids)
         if min_date:
-            query += " AND w.start_date >= %s"
+            conditions.append("w.start_date >= %s")
             params.append(min_date)
         if max_date:
-            query += " AND w.start_date <= %s"
+            conditions.append("w.start_date <= %s")
             params.append(max_date)
         if selected_exercise_ids:
             placeholders = ", ".join(["%s"] * len(selected_exercise_ids))
-            query += f" AND e.exercise_id IN ({placeholders})"
+            conditions.append(f"e.exercise_id IN ({placeholders})")
             params.extend(selected_exercise_ids)
 
+        # Add conditions to the query
+        if conditions:
+            query += " WHERE " + " AND ".join(conditions)
+
         # Execute the query
         workouts_data = self.execute(query, params)
 
         # Generate stats from the retrieved data
-        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",
-            e.exercise_id AS "ExerciseId"
-        FROM
-            topset t
-            JOIN workout w ON t.workout_id = w.workout_id
-            JOIN person p ON w.person_id = p.person_id
-            JOIN exercise e ON t.exercise_id = e.exercise_id
-        """
-        workouts_data = self.execute(query, [])
-
-        person_stats = self.get_stats_from_topsets(workouts_data)
-        return person_stats
+        stats = self.get_stats_from_topsets(workouts_data)
+        return stats