Cheapest and the most expensive hours by average

calculator/index.html

@@ -33,12 +33,17 @@
           }
             
           for (let i = 0; i < 24; i++) {
-            if(data.cheapest_hours.hours.includes(i)) {
-                document.getElementById(prefix + i).className = "px-1 bg-green-500";
-            } else if (data.most_expensive_hours.hours.includes(i)) {
-                document.getElementById(prefix + i).className = "px-1 bg-rose-400";
+            let extra_class = "";
+            if(today && i == new Date().getHours()) {
+              extra_class = " border-solid border-4 border-gray-900 font-bold";
+            }
+
+            if(data.cheapest_hours_by_average.hours.includes(i)) {
+                document.getElementById(prefix + i).className = "px-1 bg-green-500" + extra_class;
+            } else if (data.most_expensive_hours_by_average.hours.includes(i)) {
+                document.getElementById(prefix + i).className = "px-1 bg-rose-400" + extra_class;
             } else {
-                document.getElementById(prefix + i).className = "px-1 bg-amber-100";
+                document.getElementById(prefix + i).className = "px-1 bg-amber-100" + extra_class;
             }
             document.getElementById(prefix + i).innerText = Math.round(data.total.hours[i]*100)/100;
           }

calculator/main.py

@@ -41,11 +41,17 @@ Return spot prices for the whole day with all fees included.<br>
 **num_cheapest_hours** - number of cheapest hours to return, default is 8, use this to plan your consumption<br>
 **num_most_expensive_hours** - number of the most expensive hours to return, default is 8, use this to plan your consumption<br>
 **low_tariff_hours** - list of low tariff hours, default is 0,1,2,3,4,5,6,7,9,10,11,13,14,16,17,18,20,21,22,23 (D57d, ČEZ)<br>
+**average_hours** - used for calculation of cheapest hours based on average price of first few hours, this sets number of cheapest hours used to calculate number that is a base number for the calculation<br>
+**average_hours_threshold** - used for calculation of average price, cheapest hours will be all hours with price lower than `average_price * threshold`<br>
 <br>
 Output:<br>
 **spot** - current spot prices on our market<br>
 **total** - total price for the day including all fees and VAT<br>
 **sell** - current spot prices minus sell_fees<br>
+**cheapest_hours** - 8 (or configured) cheapest hours in the day<br>
+**most_expensive_hours** - 8 (or configured) the most expensive hours in the day<br>
+**cheapest_hours_by_average** - cheapest hours based on average_hours and average_hours_threshold<br>
+**most_expensive_hours_by_average** - the most expensive hours based on average_hours and average_hours_threshold<br>
 <br>
 The final price on the invoice is calculated as:<br>
     monthly_fees + kWh consumption in low tariff * kwh_fees_low + kWh consumption in high tariff * kwh_fees_high<br>
@@ -72,6 +78,12 @@ rest:
   binary_sensor:
   - name: "energy_cheap_hour"
     value_template: "{{ value_json.cheapest_hours.is_cheapest }}"
+  - name: "energy_expensive_hour"
+    value_template: "{{ value_json.most_expensive_hours.is_the_most_expensive }}"
+  - name: "energy_expensive_hour_by_average"
+    value_template: "{{ value_json.most_expensive_hours_by_average.is_the_most_expensive }}"
+  - name: "energy_cheap_hour_by_average"
+    value_template: "{{ value_json.cheapest_hours_by_average.is_cheapest }}""
 ```
 
 """
@@ -90,6 +102,8 @@ def read_item(
     no_cache:bool = False, 
     num_cheapest_hours:int = 8,
     num_most_expensive_hours:int = 8,
+    average_hours:int=4,
+    average_hours_threshold:float=1.25,
     ) -> DayPrice:
     
     if not date:
@@ -126,6 +140,12 @@ def read_item(
 
     cheapest_hours = [int(k) for k, v in list(spot_hours_total_sorted.items())[0:num_cheapest_hours]]
     most_expensive_hours = [int(k) for k, v in list(reversed(spot_hours_total_sorted.items()))[0:num_most_expensive_hours]]
+    
+    # Average over four cheapest hours and calculation of all hours that are in this average +20 %
+    four_cheapest_hours = [v for k, v in list(spot_hours_total_sorted.items())[0:average_hours]]
+    four_cheapest_hours_average = sum(four_cheapest_hours) / average_hours
+    cheapest_hours_by_average = [int(k) for k, v in list(spot_hours_total_sorted.items()) if v < four_cheapest_hours_average * average_hours_threshold]
+    most_expensive_hours_by_average = set(range(24)) - set(cheapest_hours_by_average)
 
     data = DayPrice(
         monthly_fees=monthly_fees * VAT,
@@ -141,6 +161,8 @@ def read_item(
         sell=spot_for_sell,
         cheapest_hours=CheapestHours(hours=cheapest_hours, is_cheapest=hour in cheapest_hours if is_today else None),
         most_expensive_hours=MostExpensiveHours(hours=most_expensive_hours, is_the_most_expensive=hour in most_expensive_hours if is_today else None),
+        cheapest_hours_by_average=CheapestHours(hours=cheapest_hours_by_average, is_cheapest=hour in cheapest_hours_by_average if is_today else None),
+        most_expensive_hours_by_average=MostExpensiveHours(hours=most_expensive_hours_by_average, is_the_most_expensive=hour in most_expensive_hours_by_average if is_today else None),
     )
     return data
 

calculator/schema.py

@@ -35,6 +35,8 @@ class DayPrice:
     sell: Price
     cheapest_hours: CheapestHours
     most_expensive_hours: MostExpensiveHours
+    cheapest_hours_by_average: CheapestHours
+    most_expensive_hours_by_average: MostExpensiveHours