Fix tags, may have increased load on database while only using one query to fetch workout, topsets, and all tags

features/workout.py

@@ -18,17 +18,19 @@ class Workout:
             t.repetitions,
             t.weight,
             tag.tag_id,
-            tag.name AS tag_name
+            tag.name AS tag_name,
+            tag.filter as tag_filter,
+            CASE WHEN wt.workout_id IS NOT NULL THEN TRUE ELSE FALSE END AS is_selected
         FROM 
             workout w
-        JOIN 
+        LEFT JOIN 
             topset t ON w.workout_id = t.workout_id
-        JOIN 
+        LEFT JOIN 
             exercise e ON t.exercise_id = e.exercise_id
         LEFT JOIN 
             workout_tag wt ON w.workout_id = wt.workout_id
         LEFT JOIN 
-            tag ON wt.tag_id = tag.tag_id
+            tag ON TRUE -- Join to get all tags
         WHERE 
             w.person_id = %s
             AND w.workout_id = %s;
@@ -37,8 +39,6 @@ class Workout:
 
         if not data:
             return {"error": "Workout not found"}, 404
-        
-        exercises = self.execute("SELECT exercise_id, name FROM exercise;")
 
         # Initialize workout dictionary
         workout_data = {
@@ -48,7 +48,6 @@ class Workout:
             "note": data[0]["note"],
             "tags": [],
             "top_sets": [],
-            "exercises": exercises
         }
         
         # Initialize helpers for tracking unique tags and topsets
@@ -57,15 +56,21 @@ class Workout:
 
         # Process each row and add tags and topsets to workout_data
         for row in data:
-            # Add unique tags
+            # Add all unique tags with is_selected property
             tag_id = row["tag_id"]
             if tag_id and tag_id not in tag_set:
-                workout_data["tags"].append({"tag_id": tag_id, "tag_name": row["tag_name"]})
+                workout_data["tags"].append({
+                    "tag_id": tag_id,
+                    "tag_name": row["tag_name"],
+                    "tag_filter": row["tag_filter"],
+                    "person_id": person_id,
+                    "is_selected": row["is_selected"]
+                })
                 tag_set.add(tag_id)
 
             # Add unique topsets based on topset_id
             topset_id = row["topset_id"]
-            if topset_id not in topsets_seen:
+            if topset_id and topset_id not in topsets_seen:
                 workout_data["top_sets"].append({
                     "topset_id": topset_id,
                     "exercise_id": row["exercise_id"],