From 29f7dc1823898f620f10459f0bcd1f63f36757f9 Mon Sep 17 00:00:00 2001
From: Peter Stockings <pstockings@jadeworld.com>
Date: Sun, 26 Jan 2025 21:07:19 +1100
Subject: [PATCH] Revert "Revert "Add stats to new person overview page, just
 copied the logic so will need to refactor when the dashboard page is
 refactored as well""

This reverts commit c569793fd8fc278cadb369ef630828a9a56bf7f6.
---
 features/person_overview.py | 38 ++++++++++++++++++++++++++++++++++++-
 1 file changed, 37 insertions(+), 1 deletion(-)

diff --git a/features/person_overview.py b/features/person_overview.py
index afc955f..516c298 100644
--- a/features/person_overview.py
+++ b/features/person_overview.py
@@ -1,4 +1,5 @@
 
+from datetime import date, timedelta
 from utils import calculate_estimated_1rm, get_exercise_graph_model
 
 
@@ -137,6 +138,10 @@ class PersonOverview:
         # Initialize the exercise sets dictionary
         exercise_sets = {exercise["id"]: {"exercise_id": exercise["id"], "name": exercise["name"], "sets": []} for exercise in exercises}
 
+        workout_start_dates = []
+        set_count = 0
+        exercise_count = len(unique_exercise_ids)
+
         for row in result:
             workout_id = row["workout_id"]
 
@@ -149,6 +154,8 @@ class PersonOverview:
                     "exercises": {exercise["id"]: [] for exercise in exercises}  # Keyed by exercise_id
                 }
 
+                workout_start_dates.append(row["start_date"])
+
             # Add topset to the corresponding exercise
             if row["exercise_id"] and row["topset_id"]:
                 # Add to workout exercises
@@ -165,6 +172,7 @@ class PersonOverview:
                     "workout_start_date": row["start_date"],
                     "exercise_name": row["exercise_name"]
                 })
+                set_count += 1
 
         # Transform into a list of rows
         for workout_id, workout in workout_map.items():
@@ -172,11 +180,39 @@ class PersonOverview:
         
         exercise_progress_graphs = self.generate_exercise_progress_graphs(person_info["person_id"], exercise_sets)
 
+        workout_count = len(workout_start_dates)
+        stats = [{"Text": "Total Workouts", "Value": workout_count},
+             {"Text": "Total Sets", "Value": set_count},
+             {"Text": "Total Exercises", "Value": exercise_count}]
+        if workout_count > 0:
+            first_workout_date = min(workout_start_dates)
+            last_workout_date = max(workout_start_dates)
+
+            stats.append({"Text": "Days Since First Workout", "Value": (
+                date.today() - first_workout_date).days})
+            if workout_count >= 2:
+                stats.append({"Text": "Days Since Last Workout",
+                            "Value": (
+                                date.today() - last_workout_date).days})
+                average_number_sets_per_workout = round(
+                    set_count / workout_count, 1)
+                stats.append({"Text": "Average sets per workout",
+                            "Value": average_number_sets_per_workout})
+
+                training_duration = last_workout_date - first_workout_date
+                if training_duration > timedelta(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 {
             **person_info,
             "workouts": workouts,
             "selected_exercises": exercises,
-            "exercise_progress_graphs": exercise_progress_graphs
+            "exercise_progress_graphs": exercise_progress_graphs,
+            "stats": stats
         }
     
     def generate_exercise_progress_graphs(self, person_id, exercise_sets):