Ecowitt driver for homeassistant
Configuration for the Ecowitt integration is now performed via a config flow as opposed to yaml configuration file.
Ecowitt should now appear as a card under the HA Integrations page with "Options" selection available at the bottom of the card.
You must select the port when enabling, see below section on "How to set up".
There are a few options available once the integration is setup, these are available in the "options" dialog in the integrations box for the component.
Windchill can be one of "hybrid", "old", or "new". Defaults for units are as shown above. Units can be one of "metric" or "imperial".
Note that if you change the units, it will create a new sensor for the different unit. For example, if you had wind set to imperial, "sensor.wind_speed" would have been your data entity, but switching to metric will create a "sensor.wind_speed_2". You will see in the entities page the original "sensor.wind_speed" will be marked with a status of "Restored". You can safely delete the old sensor once you validate you are seeing data on the new one. Be sure to update any automations/etc that reference the old sensor.
Version 0.5 converts this to a config flow from the previous yaml config method. Once you restart hass, it will attempt to read your old config from yaml, and port it over to the config flow. Verify that it did so correctly, and double check the options match what you expect for the units under "Options".
Additionally in 0.5, the battery sensors have been significantly changed. Previously all batteries were simple floats with the raw value displayed. There are 3 types of batteries that the ecowitt displays data for:
If you were monitoring one of these, be sure to update any automations.
There was a bug in the wind gust sensors, where it was not being affected by the windunit setting, once you load 0.5, you may find a dead entity for your wind gust sensors that were setup for the wrong unit. You may delete these.
Once your configuration has been moved, you should delete the old ecowitt section from your configuration.yaml file and restart hass.
Use the WS View app (on your phone) for your Ecowitt device, and connect to it.
The Ecowitt should then start attempting to send data to your server.
In home assistant, navigate to integrations, and search for the ecowitt component. You will need to supply a port, and an optional name for the station (if you have multiple stations this might be useful) Pick the same port you did in the wsview app.
One note: You may wish to setup the integration, and change the options for the various units prior to setting up the physical device. This will prevent creation of any entities for the wrong measurement unit from being created if you decide to change one to a non-default.
If you get an error in the logs about an unhandled sensor, open an issue and paste the log message so I can add the sensor.
If you have a sensor that is barely in range, you will see a bunch of messages in the logs about the sensor not being in the most recent update. This can also be caused by a sensor that has a low battery. If you know this sensor is just badly placed, you can ignore these, but if you start seeing them for previously reliable sensors, check the batteries.
Older versions of this component would cause homeassistant to freeze on startup waiting for the first sensor burst. This is no longer the case. Sensors will now show up as restored until the first data packet is recieved from the ecowitt. There should be no delay on startup at all.
Because leak sensors may be potentially important devices for automation, they handle going out of range somewhat differently. If a leak sensor is missing from the last data update from the ecowitt, it will go into state Unknown. If you rely upon a leak sensor for something vital, I suggest testing your automation, by disconnecting the battery from the sensor, and validating your code does something sane.
I highly reccomend https://github.com/r-renato/ha-card-weather-conditions It's fairly simple to setup as a custom card, and produces lovely results. You can easily set it up to combine local data from your sensors, with forcast data from external sources for sensors you don't have (like pollen counts, for example).
This is a copy of my setup. Sensors named with the sensor.cc_ are from the climacell external source, other sensors are my local weatherstation.
air_quality:
co: sensor.cc_co
epa_aqi: sensor.cc_epa_aqi
epa_health_concern: sensor.cc_epa_health_concern
no2: sensor.cc_no2
o3: sensor.cc_o3
pm10: sensor.cc_pm10
pm25: sensor.pm2_5_1
so2: sensor.cc_so2
animation: true
name: WeatherStation
pollen:
grass:
entity: sensor.cc_pollen_grass
high: 3
low: 1
max: 5
min: 0
tree:
entity: sensor.cc_pollen_tree
high: 3
low: 1
max: 5
min: 0
weed:
entity: sensor.cc_pollen_weed
high: 3
low: 1
max: 5
min: 0
type: 'custom:ha-card-weather-conditions'
weather:
current:
current_conditions: sensor.cc_weather_condition
feels_like: sensor.windchill
forecast: true
humidity: sensor.humidity
precipitation: sensor.rain_rate
pressure: sensor.absolute_pressure
sun: sun.sun
temperature: sensor.outdoor_temperature
visibility: sensor.cc_visibility
wind_bearing: sensor.wind_direction
wind_speed: sensor.wind_speed
forecast:
icons:
day_1: sensor.cc_weather_condition_0d
day_2: sensor.cc_weather_condition_1d
day_3: sensor.cc_weather_condition_2d
day_4: sensor.cc_weather_condition_3d
day_5: sensor.cc_weather_condition_4d
precipitation_intensity:
day_1: sensor.cc_max_precipitation_0d
day_2: sensor.cc_max_precipitation_1d
day_3: sensor.cc_max_precipitation_2d
day_4: sensor.cc_max_precipitation_3d
day_5: sensor.cc_max_precipitation_4d
precipitation_probability:
day_1: sensor.cc_precipitation_probability_0d
day_2: sensor.cc_precipitation_probability_1d
day_3: sensor.cc_precipitation_probability_2d
day_4: sensor.cc_precipitation_probability_3d
day_5: sensor.cc_precipitation_probability_4d
temperature_high:
day_1: sensor.cc_max_temperature_0d
day_2: sensor.cc_max_temperature_1d
day_3: sensor.cc_max_temperature_2d
day_4: sensor.cc_max_temperature_3d
day_5: sensor.cc_max_temperature_4d
temperature_low:
day_1: sensor.cc_min_temperature_0d
day_2: sensor.cc_min_temperature_1d
day_3: sensor.cc_min_temperature_2d
day_4: sensor.cc_min_temperature_3d
day_5: sensor.cc_min_temperature_4d
icons_model: climacell