New D57 prices
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4 changed files with 219 additions and 36 deletions
89
calculator/calc.py
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89
calculator/calc.py
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from dataclasses import dataclass
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import datetime
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from typing import List
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from fastapi import HTTPException
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from calculator.miner import PriceNotFound, get_energy_prices, get_eur_czk_ratio
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from calculator.schema import BatteryChargingInfo, Price, SpotPrices
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def get_spot_prices(date: datetime.date, hour:int, kwh_fees_low:float, kwh_fees_high:float, sell_fees:float, VAT:float, low_tariff_hours:List[int], no_cache: bool = False) -> SpotPrices:
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is_today = datetime.date.today() == date
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spot_hours = {}
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spot_hours_for_sell = {}
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spot_hours_total = {}
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spot_data = get_energy_prices(date, no_cache=no_cache)
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currency_ratio = get_eur_czk_ratio(date, no_cache=no_cache)
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for key, value in spot_data.items():
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kwh_fees = kwh_fees_low if int(key) in low_tariff_hours else kwh_fees_high
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spot_hours[key] = value * currency_ratio / 1000
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spot_hours_total[key] = (value * currency_ratio / 1000 + kwh_fees) * VAT
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spot_hours_for_sell[key] = value * currency_ratio / 1000 - sell_fees
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spot = Price(hours=spot_hours, now=spot_hours[str(hour)] if is_today else None)
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spot_hours_total_sorted = {k: v for k, v in sorted(spot_hours_total.items(), key=lambda item: item[1])}
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spot_total = Price(hours=spot_hours_total_sorted, now=spot_hours_total[str(hour)] if is_today else None)
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spot_for_sell = Price(hours=spot_hours_for_sell, now=spot_hours_for_sell[str(hour)] if is_today else None)
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return SpotPrices(
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spot=spot,
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spot_hours_total_sorted=Price(hours=spot_hours_total_sorted, now=spot_hours_total[str(hour)] if is_today else None),
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spot_total=spot_total,
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spot_for_sell=spot_for_sell,
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)
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def battery_charging_info(kwh_fees_low:float, kwh_fees_high:float, sell_fees:float, VAT:float, low_tariff_hours:List[int], no_cache: bool = False, battery_kwh_price:float=2.5) -> BatteryChargingInfo:
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today = datetime.date.today()
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hour = datetime.datetime.now().hour
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tomorrow = today + datetime.timedelta(days=1)
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spot_prices_today:SpotPrices = get_spot_prices(today, hour, kwh_fees_low, kwh_fees_high, sell_fees, VAT, low_tariff_hours, no_cache)
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# average4hours = sum(list(spot_prices_today.spot_hours_total_sorted.hours.values())[0:4]) / 4
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max_cheapest_hour = max(list(spot_prices_today.spot_hours_total_sorted.hours.values())[0:4])
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average4expensive_hours = sum(list(spot_prices_today.spot_hours_total_sorted.hours.values())[20:24]) / 4
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max_most_expensive_hour = max(
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[x[1] for x in list(spot_prices_today.spot_hours_total_sorted.hours.items())[0:20]]
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) if spot_prices_today.spot_hours_total_sorted.hours else 0
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diff = max_most_expensive_hour - max_cheapest_hour
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charging_hours = [int(k) for k, v in spot_prices_today.spot_hours_total_sorted.hours.items()][0:4]
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discharging_hours = [int(k) for k, v in spot_prices_today.spot_hours_total_sorted.hours.items() if v > (max_cheapest_hour + battery_kwh_price)]
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# Add charging hours if the price is just 10% above the most expensive charging hour
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if charging_hours:
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for h in range(5,24):
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value = spot_prices_today.spot_hours_total_sorted.hours[str(h)]
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if value <= max_cheapest_hour*1.1:
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charging_hours.append(h)
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# We remove end of the day hours from charging hours if the average of the last 4 hours is higher than the average of the first 4 hours of the next day
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try:
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spot_prices_tomorrow:SpotPrices = get_spot_prices(tomorrow, hour, kwh_fees_low, kwh_fees_high, sell_fees, VAT, low_tariff_hours, no_cache)
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average_last_4hours_today = sum(list(spot_prices_today.spot_hours_total_sorted.hours.values())[20:24]) / 4
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average_first_4hours_tomorrow = sum(list(spot_prices_tomorrow.spot_hours_total_sorted.hours.values())[0:4]) / 4
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if average_last_4hours_today > average_first_4hours_tomorrow:
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for h in range(20,24):
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if h in charging_hours:
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charging_hours.remove(h)
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except PriceNotFound:
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pass
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is_viable = len(discharging_hours) > 0
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return BatteryChargingInfo(
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diff=diff,
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is_viable=is_viable,
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charging_hours=sorted(charging_hours) if len(charging_hours) > 0 else [],
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is_charging_hour=hour in charging_hours if len(charging_hours) > 0 and is_viable else False,
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discharging_hours=sorted(discharging_hours) if len(discharging_hours) > 0 else [],
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is_discharging_hour=hour in discharging_hours if len(discharging_hours) > 0 and is_viable else False,
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total_price=spot_prices_today.spot_hours_total_sorted
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)
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@ -6,6 +6,24 @@
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<script src="https://cdn.tailwindcss.com"></script>
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<script>
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const priceColorMap = {
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0: "bg-lime-200",
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2: "bg-lime-500",
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4: "bg-lime-700",
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6: "bg-amber-400",
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8: "bg-amber-700",
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10: "bg-rose-500",
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12: "bg-rose-700",
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14: "bg-rose-950",
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16: "bg-fuchsia-500",
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18: "bg-fuchsia-800",
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20: "bg-fuchsia-950",
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}
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function getBgColor(value) {
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return priceColorMap[Math.floor(value / 2) * 2];
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}
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function formatDate(date) {
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const year = date.getFullYear();
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const month = String(date.getMonth() + 1).padStart(2, '0');
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@ -34,18 +52,25 @@
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for (let i = 0; i < 24; i++) {
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let extra_class = "";
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let border = "border-dotted"
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if(today && i == new Date().getHours()) {
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extra_class = " border-solid border-4 border-gray-900 font-bold";
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extra_class = " font-bold text-xl";
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border = "border-solid"
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}
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let value = Math.round(data.total.hours[i]*100)/100;
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if(data.cheapest_hours_by_average.hours.includes(i)) {
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document.getElementById(prefix + i).className = "px-1 bg-green-500" + extra_class;
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document.getElementById(prefix + i).className = "px-1 "+border+" border-4 border-lime-400 "+ getBgColor(value) + extra_class;
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} else if (data.most_expensive_hours_by_average.hours.includes(i)) {
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document.getElementById(prefix + i).className = "px-1 bg-rose-400" + extra_class;
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document.getElementById(prefix + i).className = "px-1 "+border+" border-4 border-rose-400 "+ getBgColor(value) + extra_class;
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} else {
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document.getElementById(prefix + i).className = "px-1 bg-amber-100" + extra_class;
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if(extra_class != "") {
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extra_class = " border-4 border-solid border-gray-500";
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}
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document.getElementById(prefix + i).className = "px-1 "+ getBgColor(value) + extra_class;
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}
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document.getElementById(prefix + i).innerText = Math.round(data.total.hours[i]*100)/100;
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document.getElementById(prefix + i).innerText = value;
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}
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})
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}
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@ -6,8 +6,9 @@ from fastapi import FastAPI, HTTPException
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from fastapi.responses import RedirectResponse, HTMLResponse
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from fastapi.middleware.cors import CORSMiddleware
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from calculator.calc import battery_charging_info, get_spot_prices
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from calculator.miner import PriceNotFound, get_energy_prices, get_eur_czk_ratio
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from calculator.schema import CheapestHours, DayPrice, MostExpensiveHours, Price
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from calculator.schema import BatteryChargingInfo, CheapestHours, DayPrice, MostExpensiveHours, Price
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from .consts import VAT
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@ -88,15 +89,59 @@ rest:
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"""
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docs_battery = """
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Returns data for battery charging and discharging. It takes four cheapest hours from today
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and calculates if it's viable and when it's viable to charge or discharge the battery.
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It partly checks data from the next day and doesn't charge the battery in the evening if
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it's going to be cheaper next day in the morning.<br>
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<br>
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**Options:**<br>
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**kwh_fees_low** - additional fees per kWh in low tariff, usually distribution + other fees, default is 1.62421 (D57d, BezDodavatele)<br>
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**kwh_fees_high** - additional fees per kWh in high tariff, usually distribution + other fees, default is 1.83474 (D57d, BezDodavatele)<br>
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**sell_fees** - selling energy fees, default is 0.45 (BezDodavatele), not important for this endpoint<br>
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**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>
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**battery_kwh_price** - price from which it is viable to charge and discharge the battery, default is 2.5<br>
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<br>
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Output:<br>
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**diff** - Difference between the most expensive cheapest hour and the most expensive hour<br>
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**is_viable** - True if it is viable to charge or discharge the battery today<br>
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**charging_hours** - Hours when it is viable to charge the battery<br>
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**is_charging_hour** - True if it is viable to charge the battery in the current hour<br>
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**discharging_hours** - Hours when it is viable to discharge the battery<br>
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**is_discharging_hour** - True if it is viable to discharge the battery in the current hour<br>
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**total_price** - total price for the day including all fees and VAT<br>
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<br>
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<br>
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<br>
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<br>
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Integration into Home Assistant can be done in configuration.yaml file:<br>
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<br>
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```
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rest:
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- resource: https://pricepower2.rostiapp.cz/battery/charging
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scan_interval: 60
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binary_sensor:
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- name: "battery_charging_plan_is_viable"
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value_template: "{{ value_json.is_viable }}"
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- name: "battery_charging_plan_is_charging_hour"
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value_template: "{{ value_json.is_charging_hour }}"
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- name: "battery_charging_plan_is_discharging_hour"
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value_template: "{{ value_json.is_discharging_hour }}"
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```
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"""
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@app.get("/price/day", description=docs)
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@app.get("/price/day/{date}", description=docs)
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def read_item(
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date: Optional[datetime.date]=None,
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hour: Optional[int]=None,
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monthly_fees: float=509.24,
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monthly_fees: float=610.84,
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daily_fees: float=4.18,
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kwh_fees_low: float=1.62421,
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kwh_fees_high: float=1.83474,
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kwh_fees_low: float=1.35022,
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kwh_fees_high: float=1.86567,
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sell_fees: float=0.45,
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low_tariff_hours:str="0,1,2,3,4,5,6,7,9,10,11,13,14,16,17,18,20,21,22,23",
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no_cache:bool = False,
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@ -116,36 +161,20 @@ def read_item(
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low_tariff_hours_parsed = [int(x.strip()) for x in low_tariff_hours.split(",")]
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monthly_fees = (monthly_fees + daily_fees * days_in_month(date.year, date.month))
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monthly_fees_hour = monthly_fees / days_in_month(date.year, date.month) / 24
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currency_ratio = get_eur_czk_ratio(date, no_cache=no_cache)
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spot_hours = {}
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spot_hours_for_sell = {}
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spot_hours_total = {}
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try:
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spot_data = get_energy_prices(date, no_cache=no_cache)
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spot_prices = get_spot_prices(date, hour, kwh_fees_low, kwh_fees_high, sell_fees, VAT, low_tariff_hours_parsed, no_cache=no_cache)
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except PriceNotFound:
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raise HTTPException(status_code=404, detail="prices not found")
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for key, value in spot_data.items():
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kwh_fees = kwh_fees_low if int(key) in low_tariff_hours_parsed else kwh_fees_high
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raise HTTPException(status_code=404, detail="prices not found")
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spot_hours[key] = value * currency_ratio / 1000
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spot_hours_total[key] = (value * currency_ratio / 1000 + kwh_fees) * VAT
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spot_hours_for_sell[key] = value * currency_ratio / 1000 - sell_fees
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spot = Price(hours=spot_hours, now=spot_hours[str(hour)] if is_today else None)
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spot_hours_total_sorted = {k: v for k, v in sorted(spot_hours_total.items(), key=lambda item: item[1])}
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spot_total = Price(hours=spot_hours_total_sorted, now=spot_hours_total[str(hour)] if is_today else None)
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spot_for_sell = Price(hours=spot_hours_for_sell, now=spot_hours_for_sell[str(hour)] if is_today else None)
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cheapest_hours = [int(k) for k, v in list(spot_hours_total_sorted.items())[0:num_cheapest_hours]]
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most_expensive_hours = [int(k) for k, v in list(reversed(spot_hours_total_sorted.items()))[0:num_most_expensive_hours]]
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cheapest_hours = [int(k) for k, v in list(spot_prices.spot_hours_total_sorted.hours.items())[0:num_cheapest_hours]]
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most_expensive_hours = [int(k) for k, v in list(reversed(spot_prices.spot_hours_total_sorted.hours.items()))[0:num_most_expensive_hours]]
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# Average over four cheapest hours and calculation of all hours that are in this average +20 %
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four_cheapest_hours = [v for k, v in list(spot_hours_total_sorted.items())[0:average_hours]]
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four_cheapest_hours = [v for k, v in list(spot_prices.spot_hours_total_sorted.hours.items())[0:average_hours]]
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four_cheapest_hours_average = sum(four_cheapest_hours) / average_hours
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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]
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most_expensive_hours_by_average = set(range(24)) - set(cheapest_hours_by_average)
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cheapest_hours_by_average = [int(k) for k, v in list(spot_prices.spot_hours_total_sorted.hours.items()) if v < four_cheapest_hours_average * average_hours_threshold]
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most_expensive_hours_by_average = list(set(range(24)) - set(cheapest_hours_by_average))
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data = DayPrice(
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monthly_fees=monthly_fees * VAT,
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@ -156,9 +185,9 @@ def read_item(
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low_tariff_hours=low_tariff_hours_parsed,
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hour=hour,
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vat=VAT,
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spot=spot,
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total=spot_total,
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sell=spot_for_sell,
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spot=spot_prices.spot,
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total=spot_prices.spot_total,
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sell=spot_prices.spot_for_sell,
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cheapest_hours=CheapestHours(hours=cheapest_hours, is_cheapest=hour in cheapest_hours if is_today else None),
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most_expensive_hours=MostExpensiveHours(hours=most_expensive_hours, is_the_most_expensive=hour in most_expensive_hours if is_today else None),
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cheapest_hours_by_average=CheapestHours(hours=cheapest_hours_by_average, is_cheapest=hour in cheapest_hours_by_average if is_today else None),
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@ -166,6 +195,29 @@ def read_item(
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)
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return data
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@app.get("/battery/charging", description=docs_battery)
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def battery_charging(
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kwh_fees_low: float=1.35022,
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kwh_fees_high: float=1.86567,
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sell_fees: float=0.45,
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battery_kwh_price: float=2.5,
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low_tariff_hours:str="0,1,2,3,4,5,6,7,9,10,11,13,14,16,17,18,20,21,22,23",
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no_cache:bool = False,
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) -> BatteryChargingInfo:
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low_tariff_hours_parsed = [int(x.strip()) for x in low_tariff_hours.split(",")]
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info = battery_charging_info(
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kwh_fees_low,
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kwh_fees_high,
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sell_fees,
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VAT,
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low_tariff_hours_parsed,
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no_cache,
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battery_kwh_price
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)
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return info
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@app.get("/widget", response_class=HTMLResponse)
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def get_widget():
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with open("calculator/index.html", "r") as file:
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@ -1,4 +1,5 @@
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from dataclasses import dataclass
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from operator import is_
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from typing import Dict, List, Optional
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@ -38,7 +39,23 @@ class DayPrice:
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cheapest_hours_by_average: CheapestHours
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most_expensive_hours_by_average: MostExpensiveHours
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@dataclass
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class SpotPrices:
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spot: Price
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spot_hours_total_sorted: Price
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spot_total: Price
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spot_for_sell: Price
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@dataclass
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class BatteryChargingInfo:
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diff: float # Difference between the cheapest and the most expensive hour
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is_viable: bool # Is it viable to charge or discharge the battery today
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charging_hours: List[int] # Hours when it is viable to charge the battery
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is_charging_hour:bool # Is it viable to charge the battery in the current hour
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discharging_hours: List[int] # Hours when it is viable to discharge the battery
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is_discharging_hour:bool # Is it viable to discharge the battery in the current hour
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total_price:Price
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