Update app.py

app.py

@@ -82,26 +82,27 @@ def predict_roi(machine_price, machine_hashrate, machine_power, machine_efficien
 
 
         # ---------------------------------------------------------
-        # Bucket electricity rate and choose scaler + canonical rate
+        # Bucket electricity rate ONLY to choose scaler
+        # The actual feature value will be the user input, repeated
+        # for all 30 days in the window.
         # ---------------------------------------------------------
         if user_electricity_rate < 0.05:
             scaler_region = "ethiopia"
-            canonical_elec = 0.01
             region_bucket = "Low-cost (< $0.05/kWh)"
-        elif user_electricity_rate < 0.10:
+        elif user_electricity_rate < 1.0:
             scaler_region = "china"
-            canonical_elec = 0.08
-            region_bucket = "Medium-cost ($0.05–$0.10/kWh)"
+            region_bucket = "Medium-cost ($0.05–$1.00/kWh)"
         else:
             scaler_region = "texas"
-            canonical_elec = 0.15
-            region_bucket = "High-cost (> $0.10/kWh)"
+            region_bucket = "High-cost (≥ $1.00/kWh)"
 
-        # Override region used in the pipeline with the bucketed one
+        # Region for the pipeline (used by get_latest_sequence & predictor)
         region = scaler_region
 
         # This is the value that will be used for all 30 days in the window
-        electricity_rate_used = canonical_elec
+        # (prepare_miner_features repeats it across time).
+        electricity_rate_used = user_electricity_rate
+
         
 
         print("User machine specs:")
@@ -111,7 +112,9 @@ def predict_roi(machine_price, machine_hashrate, machine_power, machine_efficien
         print(f"  Efficiency:      {machine_efficiency}")
         print(f"  User elec rate:  {user_electricity_rate} USD/kWh")
         print(f"  Bucket region:   {region}")
-        print(f"  Canonical elec:  {electricity_rate_used} USD/kWh")
+        print(f"  Elec used in features (all 30 days):  {electricity_rate_used} USD/kWh")
+        print("=" * 80 + "\n")
+
 
         # # -------- choose scaler region from electricity_rate --------
         # if electricity_rate < 0.05: