Switch stats from camel case to snake case

features/stats.py

@@ -11,10 +11,10 @@ class Stats:
             return []
 
         # Extract necessary fields
-        workout_ids = [t["WorkoutId"] for t in topsets if t["WorkoutId"]]
+        workout_ids = [t["workout_id"] for t in topsets if t["workout_id"]]
-        person_ids = [t["PersonId"] for t in topsets if t["PersonId"]]
+        person_ids = [t["person_id"] for t in topsets if t["person_id"]]
-        start_dates = [t["StartDate"] for t in topsets if t["StartDate"]]
+        start_dates = [t["start_date"] for t in topsets if t["start_date"]]
-        exercise_ids = [t["ExerciseId"] for t in topsets if t["ExerciseId"]]
+        exercise_ids = [t["exercise_id"] for t in topsets if t["exercise_id"]]
 
         workout_count = len(set(workout_ids))
         people_count = len(set(person_ids))
@@ -24,8 +24,8 @@ class Stats:
         # Group sets by workout and exercise
         sets_per_exercise_per_workout = defaultdict(lambda: defaultdict(int))
         for t in topsets:
-            if t["WorkoutId"] and t["ExerciseId"]:
+            if t["workout_id"] and t["exercise_id"]:
-                sets_per_exercise_per_workout[t["WorkoutId"]][t["ExerciseId"]] += 1
+                sets_per_exercise_per_workout[t["workout_id"]][t["exercise_id"]] += 1
 
         # Calculate the average sets per exercise across all workouts
         total_sets_per_exercise = []
@@ -37,8 +37,8 @@ class Stats:
         # Group exercises by workout
         exercises_by_workout = defaultdict(set)
         for t in topsets:
-            if t["WorkoutId"] and t["ExerciseId"]:
+            if t["workout_id"] and t["exercise_id"]:
-                exercises_by_workout[t["WorkoutId"]].add(t["ExerciseId"])
+                exercises_by_workout[t["workout_id"]].add(t["exercise_id"])
 
         # Calculate average exercises per workout
         average_exercises_per_workout = round(
@@ -47,40 +47,40 @@ class Stats:
 
         # Stats
         stats = [
-            {"Text": "Total Workouts", "Value": workout_count},
+            {"text": "Total Workouts", "value": workout_count},
-            {"Text": "Total Sets", "Value": total_sets},
+            {"text": "Total Sets", "value": total_sets},
-            {"Text": "Average Sets Per Exercise", "Value": average_sets_per_exercise}
+            {"text": "Average Sets Per Exercise", "value": average_sets_per_exercise}
         ]
 
         if exercise_count > 1:
-            stats.append({"Text": "Total Exercises", "Value": exercise_count})
+            stats.append({"text": "Total Exercises", "value": exercise_count})
-            stats.append({"Text": "Average Exercises Per Workout", "Value": average_exercises_per_workout})
+            stats.append({"text": "Average Exercises Per Workout", "value": average_exercises_per_workout})
 
         if people_count > 1:
-            stats.append({"Text": "People Tracked", "Value": people_count})
+            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",
+            stats.append({"text": "Days Since First Workout",
-                          "Value": (current_date - first_workout_date).days})
+                          "value": (current_date - first_workout_date).days})
 
             if workout_count >= 2:
-                stats.append({"Text": "Days Since Last Workout",
+                stats.append({"text": "Days Since Last Workout",
-                              "Value": (current_date - last_workout_date).days})
+                              "value": (current_date - last_workout_date).days})
 
                 average_sets_per_workout = round(total_sets / workout_count, 1)
-                stats.append({"Text": "Average Sets Per Workout",
+                stats.append({"text": "Average Sets Per Workout",
-                              "Value": 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",
+                    stats.append({"text": "Average Workouts Per Week",
-                                  "Value": average_workouts_per_week})
+                                  "value": average_workouts_per_week})
 
         return stats
 
@@ -88,10 +88,10 @@ class Stats:
         # Base query
         query = """
         SELECT
-            t.workout_id AS "WorkoutId",
+            t.workout_id,
-            w.person_id AS "PersonId",
+            w.person_id,
-            w.start_date AS "StartDate",
+            w.start_date,
-            e.exercise_id AS "ExerciseId"
+            e.exercise_id
         FROM
             topset t
             JOIN workout w ON t.workout_id = w.workout_id

templates/partials/stats.html

@@ -5,8 +5,8 @@
         <div class="flex items-center">
             <div class="flex-shrink-0">
                 <span class="text-2xl sm:text-3xl leading-none font-bold text-gray-900">{{
-                    stat['Value'] }}</span>
+                    stat.value }}</span>
-                <h3 class="text-base font-normal text-gray-500">{{ stat['Text'] }}</h3>
+                <h3 class="text-base font-normal text-gray-500">{{ stat.text }}</h3>
             </div>
         </div>
     </div>