myelectricaldatapy
Fetch Enedis Linky data 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
$ pip install .
Public API
from myelectricaldatapy import Enedis, EnedisByPDL, EnedisException
Enedis: thin async client, one method per myelectricaldata.fr endpoint.EnedisByPDL: higher level helper that aggregates every piece of information for a single delivery point (PDL) and computes analytics.EnedisException: base exception. Every library error (HttpRequestError,LimitReached,PayloadError,TimeoutExceededError,AnalyticsError) derives from it.
All payloads are validated and returned as pydantic
models (Contract, UsagePoint, DataCollect, TempoDays, Prices, ...).
Enedis
Enedis(token: str, session: ClientSession | None = None, timeout: int = 30)
| Method | Description |
|---|---|
async_fetch_datas(service, pdl, start=None, end=None) |
Raw call to any service |
async_valid_access(pdl) / async_has_access(pdl) |
Access / quota status |
async_get_contract(pdl) / async_get_contracts(pdl) |
Contract(s) |
async_get_address(pdl) / async_get_addresses(pdl) |
Address(es) |
async_get_identity(pdl) |
Identity |
async_get_daily_consumption(pdl, start, end) |
Daily consumption (max 1095 days) |
async_get_daily_production(pdl, start, end) |
Daily production (max 1095 days) |
async_get_details_consumption(pdl, start, end) |
Load curve consumption (max 7 days) |
async_get_details_production(pdl, start, end) |
Load curve production (max 7 days) |
async_get_max_power(pdl, start, end) |
Max power |
async_get_ecowatt(start=None, end=None) |
Ecowatt forecast |
async_get_tempo(start=None, end=None) |
Tempo day colors on a range |
async_get_tempo_days() |
Tempo calendar |
async_get_tempo_prices() |
Tempo prices |
async_has_offpeak(pdl) / async_check_offpeak(pdl, start) |
Off-peak helpers |
async_close() |
Close the aiohttp session |
EnedisByPDL
EnedisByPDL(
pdl: str,
token: str,
subscription: str = "standard", # "standard" | "hphc" | "tempo"
session: ClientSession | None = None,
timeout: int = 30,
timezone: tzinfo | None = None,
)
Workflow:
- Optionally declare what you want to collect with
set_data_fetch(...),set_ecowatt_subscription(True)andset_maxpower_subscription(True). - Call
await async_update()(orasync_update(force_refresh=True)). - Read the aggregated results.
| Member | Description |
|---|---|
set_data_fetch(service, start=None, end=None, intervals=None, prices=None, cum_value=None, cum_price=None) |
Register a collect (service is one of DAILY_CONSUM, DAILY_PROD, DETAIL_CONSUM, DETAIL_PROD) |
set_ecowatt_subscription(activate=False) |
Enable Ecowatt retrieval |
set_maxpower_subscription(activate=False) |
Enable max power retrieval |
async_update(force_refresh=False) |
Refresh access, contract, address, tempo, ecowatt, collects |
_async_fetch_data() |
Refresh only the registered collects |
stats |
dict keyed by mode ("consumption" / "production") with the computed analytics |
access, contract, address, ecowatt, max_power, tempo, tempo_days, tempo_prices |
Last fetched models |
is_connected, has_intervals, has_tempo_subscription, has_offpeak_hours_subscription, has_standard_subscription, has_ecowatt_subscription, has_maxpower_subscription |
Boolean state |
ecowatt_day, tempo_day, consum_prices, prod_prices |
Convenience accessors for today |
async_close() |
Close the aiohttp session |
Timezone
Enedis/RTE APIs return naive timestamps that represent local wall-clock time. This library needs to know which timezone that is in order to compute things like off-peak hours or hourly statistics correctly.
By default it falls back to the timezone of the host machine running the code
(/etc/localtime), but that has no reason to match the timezone your
application is actually configured for (e.g. Home Assistant's
hass.config.time_zone). Pass it explicitly to avoid a fixed-offset shift in
the reported times:
api = EnedisByPDL(pdl=PDL, token=TOKEN, timezone=ZoneInfo("Europe/Paris"))
Alternatively, set it once globally for every instance:
from myelectricaldatapy import set_local_timezone
set_local_timezone(ZoneInfo("Europe/Paris"))
Get started
import asyncio
from datetime import timedelta
from myelectricaldatapy import DETAIL_CONSUM, EnedisByPDL, EnedisException
from myelectricaldatapy.tz import local_now
TOKEN = "012345"
PDL = "012345012345"
async def main() -> None:
api = EnedisByPDL(pdl=PDL, token=TOKEN)
try:
# Off-peak intervals and per-interval prices are optional.
api.set_data_fetch(
DETAIL_CONSUM,
start=local_now() - timedelta(days=7),
end=local_now(),
intervals=[("08:00", "12:00")],
prices={"standard": {"price": 0.18}, "offpeak": {"price": 0.1641}},
)
await api.async_update()
print(api.contract)
print(api.address)
print(api.stats["consumption"])
except EnedisException as error:
print(error)
finally:
await api.async_close()
asyncio.run(main())
Have a look at example.py for a more complete overview.
1 maintainer
Release files for myelectricaldatapy 2.4.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| myelectricaldatapy-2.4.9.tar.gz | 122.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| myelectricaldatapy-2.4.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 157.1 kB
Release files / myelectricaldatapy-2.4.9.tar.gz
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|---|---|
| Size | 122.9 kB |
| Tags | Source |
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| Uploaded via |
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