The FlexMeasures Client provides a Python package to connect to a FlexMeasures server to manage flexible assets.
The Flexmeasures Client package provides functionality for authentication, asset and sensor management, posting sensor data, and triggering and retrieving schedules from a FlexMeasures instance through the API.
As the Flexmeasures Client is still in active development and on version 0.x it should be considered in beta.
To get started with the FlexMeasures Client package, first an account needs to be registered with a FlexMeasures instance. To create a local instance of FlexMeasures, follow the FlexMeasures documentation. Registering to a hosted FlexMeasures instance instead can be done through Seita BV.
Install using pip:
pip install flexmeasures-client
Initialization and authentication:
from flexmeasures_client import FlexMeasuresClient client = FlexMeasuresClient(host="localhost:5000", ssl=False, email="[email protected]", password="pw") client = FlexMeasuresClient(host="seita.energy", ssl=True, email="[email protected]", password="pw")
Retrieve user and account info:
user = await client.get_user() account = await client.get_account()
Retrieve available assets and sensors:
assets = await client.get_assets() sensors = await client.get_sensors()
Post a measurement from a sensor:
await client.post_measurements(
sensor_id=<sensor_id>, # integer
start="2023-03-26T10:00+02:00", #iso datetime
duration="PT6H", # iso timedelta
values=[1,2,3,4], # list
unit="kWh",
entity_address=<sensor_entity_address>, # string
)
With FlexMeasures a schedule can be requested to optimize at what time the flexible assets can be activated to optimize for price of energy or emissions.
The calculation of the schedule can take some time depending on the complexity of the calculations. A polling function is used to check if a schedule is available after triggering the schedule.
Trigger and retrieve a schedule:
schedule = await flexmeasures_client.trigger_and_get_schedule(
sensor_id=<sensor_id>, # int
start="2023-03-26T10:00+02:00", # iso datetime
duration="PT12H", # iso timedelta
flex_context= {"consumption-price-sensor": <consumption_price_sensor_id>}, # int
flex-model= {
"soc-unit": "kWh",
"soc-at-start": 50, # in soc_units (kWh)
"soc-max": 400,
"soc-min": 20,
"soc-targets": [
{"value": 100, "datetime": "2023-03-03T11:00+02:00"}
],
}
)
The trigger and get schedule function can also be separated to trigger the schedule first and later retrieve the schedule using the schedule_uuid.
Trigger a schedule:
schedule_uuid = await flexmeasures_client.trigger_storage_schedule(
sensor_id=<sensor_id>, # int
start="2023-03-26T10:00+02:00", # iso datetime
duration="PT12H", # iso timedelta
flex_context= {"consumption-price-sensor": <consumption_price_sensor_id>}, # int
flex-model= {
"soc-unit": "kWh",
"soc-at-start": 50, # soc_units (kWh)
"soc-max": 400,
"soc-min": 20,
"soc-targets": [
{"value": 100, "datetime": "2023-03-03T11:00+02:00"}
],
}
)
The trigger_storage_schedule return a schedule_uuid. This can be used to retrieve the schedule. The client will re-try if until the schedule is available or the MAX_POLLING_STEPS of 10 is reached. Retrieve schedule:
schedule = await flexmeasures_client.get_schedule(
sensor_id=<sensor_id>, #int
schedule_id="<schedule_uuid>", # uuid
duration="PT45M" # iso timedelta
)
The schedule returns a Pandas DataFrame that can be used to regulate the flexible assets.
Install the project locally (in a virtual environment of your choice):
pip install -e .
Running tests locally is crucial as well. Staying close to the CI workflow:
pip install tox tox -e clean,build tox -- -rFEx --durations 10 --color yes
This project uses pre-commit, please make sure to install it before making any changes:
pip install pre-commit cd flexmeasures-client pre-commit install
It is a good idea to update the hooks to the latest version:
pre-commit autoupdate
Don't forget to tell your contributors to also install and use pre-commit.
New releases on Pypi are made by adding a tag and pushing it:
git tag -s -a vX.Y.Z -m "Short summary" git push --tags
(of course you need the permissions to do so)
See releases in GitHub Actions at https://github.com/FlexMeasures/flexmeasures-client/deployments/release
The S2 Protocol integration is still under active development. Please, beware that the logic and interfaces can change.
Run the following commands in the flexmeasures folder to create a toy-account and an admin user:
flexmeasures add toy-account flexmeasures add user --username admin --account-id 1 --email [email protected] --roles admin
Launch server:
flexmeasures run
To load the data, run the following command in the flexmeasures-client repository:
python src/flexmeasures_client/s2/script/demo_setup.py
Start the S2 server:
python src/flexmeasures_client/s2/script/websockets_server.py
In a separate window, start the S2 Client:
python src/flexmeasures_client/s2/script/websockets_client.py
This project has been set up using PyScaffold 4.4. For details and usage information on PyScaffold see https://pyscaffold.org/.
