myelectricaldatapy
Fetch date Enedis Linky from myelectricaldata.fr (enedisgateway.tech)
Install
Use the PIP package manager
$ pip install myelectricaldatapy
Or manually download and install the last version from github
$ git clone https://github.com/cyr-ius/myelectricaldatapy.git
$ python setup.py install
Attributes
- tempo_day : RED/WHITE/BLUE
- ecowatt : Information Dictionary
- power_Data: Data
Methods
- async_get_max_power (start: datetime, end: datetime) Return: max power
- async_get_details_production (start: datetime, end: datetime) Return: details production (max 7days)
- async_get_details_consumption (start: datetime, end: datetime) Return: details consumption (max 7days)
- async_get_daily_production (day: datetime, end: datetime) Return: production (max 1095 days)
- async_get_daily_consumption (start: datetime, end: datetime) Return: consumption (max 1095 days)
- async_get_identity Return: Data identity
- async_check_offpeak (start: datetime) : check if datetime in range offpeak
- async_has_offpeak Return boolean if offpeak detected
- async_get_ecowatt Return: ecowatt information
- async_get_tempoday Return: Tempo day (RED/WHITE/BLUE)
- async_get_address Return address
- async_get_contract Return contact
- async_valid_access Return information access from mylelectricaldata
- async_load (start: datetime, end: datetime) Return None - Load Data in power_Data attribute
- async_refresh Return None - Refresh power_Data , tempo_day and ecowatt attributes.
Get started
# Import the myelectricaldatapy package.
from myelectricaldatapy import EnedisByPDL,EnedisAnalytics
TOKEN="012345"
PDL="012345012345"
async def main():
api = EnedisByPDL(token=TOKEN, pdl=PDL)
print(await api.async_get_contract())
print(await api.async_get_address())
start = datetime.now() - timedelta(days=7)
end = datetime.now()
Data = await api.async_get_details_consumption(start,end)
print(Data)
analytics = EnedisAnalytics(Data)
offpeak_intervals = [(dt.strptime("08H00", "%HH%M"), dt.strptime("12H00", "%HH%M"))]
# it is possible to load detailed production and consumption data within the object (in the power_Data attribute)
await api.async_load()
print(api.power_Data)
# and refresh Data load.
await api.async_refresh()
# Analytics data convert
resultat = analytics.get_data_analytics(
convertKwh=True,
convertUTC=True,
intervals=offpeak_intervals,
groupby="date",
summary=True,
)
offpeak = analytics.set_price(resultat[0], 0.1641, True)
normal = analytics.set_price(resultat[1], 0.18, True)
print(offpeak)
print(normal)
await api.async_close()
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
Have a look at the example.py for a more complete overview.
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