I want to add another reponse template to a built-in intent.
I am developing some more natural language German sentence triggers. One example is, I have temperature and humidity sensors all over the house. And I want to query their state using the area they are in.
Now, I am a nerd, when it comes to re-using code. So, I didn’t want to repeat the same sentence for each sensor device_class. That’s why I created a list for it using natural language in and HA out values. This list gets fed to the device_class slot, which works well.
Like this (note the beauty of the sentence 
):
language: de
intents:
HassGetState:
data:
# Query sensor by device_class
- sentences:
- "<was_ist>( <the_sensor_class>;[ <area_floor>])"
response: sensor_class
slots:
domain: sensor
expansion_rules:
was_ist: "((wie|was) ist|(nenn|sag|gib)[e][ mir])"
the_sensor_class: "[<artikel_bestimmt> ]{sensor_class:device_class}"
lists:
sensor_class:
values:
- in: "(AQI|air quality [index]|Luftqualität[sindex])"
out: aqi
- in: "[(verbleibende|übrige|restliche) ](Batterie|Lade|Ladung)[[zu]stand]"
out: battery
- in: "[relative ][Luft](Feuchte|Feuchtigkeit)"
out: humidity
- in: "[elektrische ]Leistung"
out: power
- in: "[Luft]Temperatur"
out: temperature
- in: "[elektrische ]Spannung[sabfall]"
out: voltage
However, when I then want to use the device_class slot to form the reponse sentence, I cannot rely on it being, e.g., humidity. Instead it will be “Feuchte” or “relative Luftfeuchtigkeit”.
Unfortunately, I cannot use this text to form a response, because in German we have different genera of words: it would be “die Feuchte”, but “der Ladezustand”. That’s why I wanted to use the normalized device_class to pick a standard response from a dict keyed by the device_class.
Not sure, if that makes sense. It might very opinionated.
Anyways, I have found a way to do this. I will just use state.attributes.device_class. It’s not as straight-forward, but so far it seems to work.
Like this (note the match_class definition):
language: de
responses:
intents:
HassGetState:
sensor_class: |
{% set match_states = query.matched
| map(attribute = 'state')
| map('float', none)
| select('number')
| map('round', 1)
| list %}
{% set min_state = match_states
| min
| replace(".", ",") %}
{% set max_state = match_states
| max
| replace(".", ",") %}
{% set match_class = {'humidity': 'Die relative Luftfeuchte',
'aqi': 'Der Luftqualitätsindex',
'battery': 'Der Batteriezustand',
'power': 'Die elektrische Leistung',
'temperature': 'Die Temperatur',
'voltage': 'Die Spannung',
}[state.attributes.device_class] %}
{% set uom = state.attributes.unit_of_measurement
| replace(state.state, localized_rounded) | replace("°C","Grad") | replace("°F","Grad") %}
{% if match_states | length > 1 %}
{{ match_class }} liegt im Bereich von {{ min_state }} bis {{ max_state }} {{ uom }}
{% else %}
{% if state.state|float(state.state) is number %}
{% set localized_rounded = state.state | float | round(1) | replace(".",",") | replace(",0","") %}
{{ state.name }} ist {{ state.state_with_unit | replace(state.state, localized_rounded) | replace("°C","Grad") | replace("°F","Grad") }}
{% else %}
{{ state.name }} ist {{ state.state_with_unit | replace(".", ",") | replace(",0","") }}
{% endif %}
{% endif %}
