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Cheapest and the most expensive hours by average

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This commit is contained in:
Adam Štrauch 2024-11-09 01:27:31 +01:00
parent aeb17d6969
commit 11399bf21b
Signed by: cx
GPG Key ID: 7262DAFE292BCE20
3 changed files with 34 additions and 5 deletions
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15
calculator/index.html
View File

@ -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;
}

22
calculator/main.py
View File

@ -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:
@ -127,6 +141,12 @@ 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,
monthly_fees_hour=monthly_fees_hour * 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

2
calculator/schema.py
View File

@ -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