Asynchronous Python client for the easyEnergy API.
A python package with which you can retrieve the dynamic energy/gas prices from easyEnergy. Third parties who purchase their energy via easyEnergy (as far as is known):
pip install easyenergy
note: Currently only tested for day/tomorrow prices
You can read the following datasets with this package:
note: easyEnergy has separate prices for usage and return to grid, which also differ per hour.
The energy prices are different every hour, after 15:00 (more usually already at 14:00) the prices for the next day are published and it is therefore possible to retrieve these data.
- Current/Next[x] hour electricity market price (float)
- Lowest energy price (float)
- Highest energy price (float)
- Average electricity price (float)
- Time of highest price (datetime)
- Time of lowest price (datetime)
- Percentage of the current price compared to the maximum price
- Number of hours with the current price or better (int)
The gas prices do not change per hour, but are fixed for 24 hours. Which means that from 06:00 in the morning the new rate for that day will be used.
- Current/Next[x] hour gas market price (float)
- Lowest gas price (float)
- Highest gas price (float)
- Average gas price (float)
import asyncio
from datetime import date
from easyenergy import EasyEnergy
async def main() -> None:
"""Show example on fetching the energy prices from easyEnergy."""
async with EasyEnergy(incl_vat="true") as client:
start_date = date(2022, 12, 7)
end_date = date(2022, 12, 7)
energy = await client.energy_prices(start_date, end_date)
gas = await client.gas_prices(start_date, end_date)
if __name__ == "__main__":
asyncio.run(main())
Parameter | value Type | Description |
---|---|---|
incl_vat |
str (default: true) | Include or exclude VAT |
Parameter | value Type | Description |
---|---|---|
start_date |
datetime | The start date of the selected period |
end_date |
datetime | The end date of the selected period |
This is an active open-source project. We are always open to people who want to use the code or contribute to it.
We've set up a separate document for our contribution guidelines.
Thank you for being involved! 😍
This Python project is fully managed using the Poetry dependency manager.
You need at least:
- Python 3.9+
- Poetry
Install all packages, including all development requirements:
poetry install
Poetry creates by default an virtual environment where it installs all necessary pip packages, to enter or exit the venv run the following commands:
poetry shell
exit
Setup the pre-commit check, you must run this inside the virtual environment:
pre-commit install
Now you're all set to get started!
As this repository uses the pre-commit framework, all changes are linted and tested with each commit. You can run all checks and tests manually, using the following command:
poetry run pre-commit run --all-files
To run just the Python tests:
poetry run pytest
MIT License
Copyright (c) 2022-2023 Klaas Schoute
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.