Display liner formula for E1RM over time, and weekly/monthly progress in weight (this part doesnt work well, will probably remove)

utils.py

@@ -260,6 +260,8 @@ def get_exercise_graph_model(title, estimated_1rm, repetitions, weight, start_da
     relative_positions = [(date - min_date).days / total_span for date in start_dates]
 
     best_fit_points = []
+    best_fit_formula = {}
+
     # trry catch LinAlgError
     try:
         # Convert relative positions and scaled estimated 1RM values to numpy arrays
@@ -272,6 +274,16 @@ def get_exercise_graph_model(title, estimated_1rm, repetitions, weight, start_da
         # Generate points along the line of best fit
         y_best_fit = [m * xi + b for xi in x]
         best_fit_points = list(zip(y_best_fit, relative_positions))
+
+        # Convert the slope from scaled units per day to kg per day
+        slope_kg_per_day = m * (max_e1rm - min_e1rm) / total_span
+
+        best_fit_formula = {
+            'slope': round(m,1),
+            'intercept': round(b,1),
+            'kg_per_week': round(slope_kg_per_day * 7, 1),  # Convert to kg/week
+            'kg_per_month': round(slope_kg_per_day * 30, 1)  # Convert to kg/month
+        }
     except:
         pass
 
@@ -305,6 +317,7 @@ def get_exercise_graph_model(title, estimated_1rm, repetitions, weight, start_da
         'vb_height': vb_height,
         'plots': [repetitions, weight, estimated_1rm],
         'best_fit_points': best_fit_points,
+        'best_fit_formula': best_fit_formula,
         'plot_labels': plot_labels
     }