myelectricaldatapy 1.3.5

Fetch Linky data from myelectricaldata.fr

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

Attributs

• tempo_day : RED/WHITE/BLUE
• ecowatt : Information Dictionary
• power_datas: Datas

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: datas 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 datas in power_datas attribut
• async_refresh Return None - Refresh power_datas , tempo_day and ecowatt attributs.

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()
    datas = await api.async_get_details_consumption(start,end)
    print(datas)
    
    analytics = EnedisAnalytics(datas)
    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_datas attribute)
    await api.async_load()
    print(api.power_datas)
    # and refresh datas load.
    await api.async_refresh()
    
    # Analytics data convert
    resultat = analytics.get_data_analytcis(
        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.