mensi / ekzexport Goto Github PK
View Code? Open in Web Editor NEWCLI and data exporter for the myEKZ customer portal
License: Apache License 2.0
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hi mensi, zwei fragen..
- weisst du, ob man neben dem 15-min-verbrauch auch andere daten direkt auslesen kann, z.b. total von tag/monat/jahr?
gibt es für den link andere typen neben PK_VERB_15MIN?
- gerne würde ich in home assistant die daten von my.ekz auslesen. knackpunkt ist wohl das notwendige login.
kann man deine variante in hass nutzen, z.b. mit pyscript integration? oder kennst du eine andere möglicheit?
vielen dank und liebe grüsse
grafana dashboard for ekzexport
Thanks for the great package! Do you happen to have a grafana dashboard to visualise the data by any chance?
This is my first time using influxdb and I'm not sure how to best do the queries. I came up with the following to visualise the daily consumption with "Niedertarif" and without but the query is extremely slow:
niedertarif_true = from(bucket: "ekzexport")
|> range(start: 0, stop: now())
|> filter(fn: (r) => r["_measurement"] == "ekz_energy" and r["_field"] == "niedertarif" and r["_value"] == true)
|> keep(columns: ["_time", "_measurement", "_field"])
energy_data = from(bucket: "ekzexport")
|> range(start: 0, stop: now())
|> filter(fn: (r) => r["_measurement"] == "ekz_energy" and r["_field"] == "energy_15min")
join(tables: {niedertarif: niedertarif_true, energy: energy_data}, on: ["_time", "_measurement"])
|> keep(columns: ["_time", "_value"])
|> aggregateWindow(every: 1d, fn: sum, createEmpty: false)
|> map(fn: (r) => ({ r with value_nt: r._value }))
|> drop(columns: ["_value"])
|> yield(name: "daily_sum_nt")
and:
niedertarif_true = from(bucket: "ekzexport")
|> range(start: 0, stop: now())
|> filter(fn: (r) => r["_measurement"] == "ekz_energy" and r["_field"] == "niedertarif" and r["_value"] == false)
|> keep(columns: ["_time", "_measurement", "_field"])
energy_data = from(bucket: "ekzexport")
|> range(start: 0, stop: now())
|> filter(fn: (r) => r["_measurement"] == "ekz_energy" and r["_field"] == "energy_15min")
join(tables: {niedertarif: niedertarif_true, energy: energy_data}, on: ["_time", "_measurement"])
|> keep(columns: ["_time", "_value"])
|> aggregateWindow(every: 1d, fn: sum, createEmpty: false)
|> map(fn: (r) => ({ r with value: r._value }))
|> drop(columns: ["_value"])
|> yield(name: "daily_sum")
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