REST api - latest record

Configuration
1

Hi all!
Maybe stupid question since I’m quite noob and not beeing a programmer :slight_smile:
I call REST api like this:

- resource: "https://api.openvehicles.com:6869/api/historical/<vehicle-id>/*-Log-Notification/?username=****&password=***"
  scan_interval: 120
  sensor:
    - name: ev_consumption
      value_template: "{{ value_json.h_data}}"
      json_attributes:
        - h_data
        - h_timestamp

And I get:

h_data: I,Trip 20.0km Avg 28km/h Alt -12m
Energy 125Wh/km; 26% recd
SOC -2.0% = 41.5%
Range -9.4km = 188.0km

h_timestamp: 2023-01-10 06:05:06
friendly_name: ev_consumption

But the problem is that this is the oldest data (timestamp).

If I call REST api with curl, I get more data and also latest data which interests me:

curl --location --request GET 'https://api.openvehicles.com:6869/api/historical/<vehicle-id>/*-Log-Notification/?username=<username>&password=<password>'
[{"h_data":"I,Trip 20.0km Avg 28km/h Alt -12m\rEnergy 125Wh/km; 26% recd\rSOC -2.0% = 41.5%\rRange -9.4km = 188.0km\r","h_recordnumber":20670,"h_timestamp":"2023-01-10 06:05:06"},{"h_data":"I,Trip 21.0km Avg 32km/h Alt -5m\rEnergy 129Wh/km; 25% recd\rSOC +0.0% = 41.5%\rRange -0.2km = 187.8km\r","h_recordnumber":20696,"h_timestamp":"2023-01-10 06:10:19"},{"h_data":"I,Trip 23.0km Avg 34km/h Alt +11m\rEnergy 130Wh/km; 23% recd\rSOC +0.0% = 41.0%\rRange -0.2km = 185.3km\r","h_recordnumber":20721,"h_timestamp":"2023-01-10 06:18:48"},{"h_data":"A,12V Battery critical: 12.8V (ref=14.6V)","h_recordnumber":21357,"h_timestamp":"2023-01-10 08:19:47"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":21582,"h_timestamp":"2023-01-10 08:52:49"},{"h_data":"A,12V Battery critical: 12.8V (ref=14.6V)","h_recordnumber":21757,"h_timestamp":"2023-01-10 09:24:59"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":21922,"h_timestamp":"2023-01-10 09:57:10"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":22295,"h_timestamp":"2023-01-10 10:29:19"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":23608,"h_timestamp":"2023-01-10 11:01:29"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":24106,"h_timestamp":"2023-01-10 11:33:40"},{"h_data":"A,12V Battery critical: 12.8V (ref=14.6V)","h_recordnumber":24296,"h_timestamp":"2023-01-10 12:05:52"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":24485,"h_timestamp":"2023-01-10 12:38:00"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":24677,"h_timestamp":"2023-01-10 13:10:10"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":24852,"h_timestamp":"2023-01-10 13:42:22"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":25056,"h_timestamp":"2023-01-10 14:14:31"},{"h_data":"A,12V Battery critical: 13.0V (ref=14.6V)","h_recordnumber":25590,"h_timestamp":"2023-01-10 15:50:04"},{"h_data":"A,12V Battery restored: 14.4V (ref=14.6V)","h_recordnumber":25591,"h_timestamp":"2023-01-10 15:50:04"},{"h_data":"A,12V Battery critical: 12.2V (ref=14.6V)","h_recordnumber":25592,"h_timestamp":"2023-01-10 15:50:04"},{"h_data":"A,12V Battery restored: 14.0V (ref=14.6V)","h_recordnumber":25593,"h_timestamp":"2023-01-10 15:50:04"},{"h_data":"A,12V Battery critical: 12.4V (ref=14.6V)","h_recordnumber":25594,"h_timestamp":"2023-01-10 15:50:04"},{"h_data":"A,12V Battery restored: 14.0V (ref=14.6V)","h_recordnumber":25595,"h_timestamp":"2023-01-10 15:50:04"},{"h_data":"I,Trip 23.0km Avg 28km/h Alt +0m\rEnergy 22Wh/km; 79% recd\rSOC -1.5% = 64.5%\rRange -6.3km = 294.9km\r","h_recordnumber":25598,"h_timestamp":"2023-01-10 15:50:28"},{"h_data":"A,12V Battery critical: 12.4V (ref=14.6V)","h_recordnumber":25599,"h_timestamp":"2023-01-10 15:50:33"},{"h_data":"A,12V Battery restored: 13.9V (ref=14.6V)","h_recordnumber":25608,"h_timestamp":"2023-01-10 15:52:33"},{"h_data":"I,Trip 23.0km Avg 0km/h Alt +0m\rEnergy 22Wh/km; 79% recd\rSOC +0.0% = 64.5%\rRange +0.3km = 295.3km\r","h_recordnumber":25612,"h_timestamp":"2023-01-10 15:53:15"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":26238,"h_timestamp":"2023-01-10 17:52:31"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":26429,"h_timestamp":"2023-01-10 18:24:41"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":26595,"h_timestamp":"2023-01-10 18:56:51"},{"h_data":"A,12V Battery critical: 12.8V (ref=14.6V)","h_recordnumber":26616,"h_timestamp":"2023-01-10 19:00:51"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":26803,"h_timestamp":"2023-01-10 19:33:52"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":26850,"h_timestamp":"2023-01-10 20:06:02"},{"h_data":"A,12V Battery critical: 12.4V (ref=14.6V)","h_recordnumber":26910,"h_timestamp":"2023-01-10 20:38:12"},{"h_data":"A,12V Battery critical: 12.5V (ref=14.6V)","h_recordnumber":26970,"h_timestamp":"2023-01-10 21:10:23"},{"h_data":"A,12V Battery critical: 12.4V (ref=14.6V)","h_recordnumber":27029,"h_timestamp":"2023-01-10 21:42:33"},{"h_data":"A,12V Battery critical: 12.4V (ref=14.6V)","h_recordnumber":27070,"h_timestamp":"2023-01-10 22:14:43"},{"h_data":"A,12V Battery critical: 12.4V (ref=14.6V)","h_recordnumber":27115,"h_timestamp":"2023-01-10 22:46:53"},{"h_data":"A,12V Battery critical: 12.4V (ref=14.6V)","h_recordnumber":27178,"h_timestamp":"2023-01-10 23:19:03"},{"h_data":"A,12V Battery critical: 12.3V (ref=14.6V)","h_recordnumber":27232,"h_timestamp":"2023-01-10 23:51:13"},{"h_data":"A,12V Battery critical: 12.3V (ref=14.6V)","h_recordnumber":27269,"h_timestamp":"2023-01-11 00:23:23"},{"h_data":"A,12V Battery critical: 12.3V (ref=14.6V)","h_recordnumber":27311,"h_timestamp":"2023-01-11 00:55:33"},{"h_data":"A,12V Battery critical: 12.3V (ref=14.6V)","h_recordnumber":27358,"h_timestamp":"2023-01-11 01:27:43"},{"h_data":"A,12V Battery critical: 12.2V (ref=14.6V)","h_recordnumber":27515,"h_timestamp":"2023-01-11 01:59:54"},{"h_data":"A,12V Battery critical: 12.2V (ref=14.6V)","h_recordnumber":27560,"h_timestamp":"2023-01-11 02:32:03"},{"h_data":"A,12V Battery critical: 12.2V (ref=14.6V)","h_recordnumber":27593,"h_timestamp":"2023-01-11 03:04:14"},{"h_data":"A,12V Battery critical: 12.2V (ref=14.6V)","h_recordnumber":27623,"h_timestamp":"2023-01-11 03:36:27"},{"h_data":"A,12V Battery critical: 12.1V (ref=14.6V)","h_recordnumber":27655,"h_timestamp":"2023-01-11 04:08:34"},{"h_data":"A,12V Battery critical: 12.1V (ref=14.6V)","h_recordnumber":27689,"h_timestamp":"2023-01-11 04:40:44"},{"h_data":"A,12V Battery critical: 12.1V (ref=14.6V)","h_recordnumber":27763,"h_timestamp":"2023-01-11 05:12:55"},{"h_data":"A,12V Battery critical: 12.1V (ref=14.6V)","h_recordnumber":27881,"h_timestamp":"2023-01-11 05:45:05"},{"h_data":"A,12V Battery restored: 14.3V (ref=14.6V)","h_recordnumber":27949,"h_timestamp":"2023-01-11 06:06:05"},{"h_data":"A,12V Battery critical: 12.4V (ref=14.6V)","h_recordnumber":27992,"h_timestamp":"2023-01-11 06:17:49"},{"h_data":"A,12V Battery restored: 14.4V (ref=14.6V)","h_recordnumber":27993,"h_timestamp":"2023-01-11 06:17:49"},{"h_data":"A,12V Battery critical: 12.9V (ref=14.6V)","h_recordnumber":27994,"h_timestamp":"2023-01-11 06:18:05"},{"h_data":"A,12V Battery restored: 12.0V (ref=12.6V)","h_recordnumber":28052,"h_timestamp":"2023-01-11 06:32:05"},{"h_data":"I,Trip 20.0km Avg 33km/h Alt -11m\rEnergy 85Wh/km; 43% recd\rSOC -2.0% = 71.0%\rRange -9.0km = 322.7km\r","h_recordnumber":880,"h_timestamp":"2023-01-11 15:11:56"},{"h_data":"I,Trip 21.0km Avg 28km/h Alt -17m\rEnergy 95Wh/km; 41% recd\rSOC -0.5% = 69.5%\rRange -2.7km = 315.4km\r","h_recordnumber":3324,"h_timestamp":"2023-01-12 06:16:47"},{"h_data":"I,Trip 29.0km Avg 36km/h Alt +16m\rEnergy 107Wh/km; 37% recd\rSOC -2.5% = 67.0%\rRange -12.1km = 303.3km\r","h_recordnumber":3367,"h_timestamp":"2023-01-12 06:38:27"},{"h_data":"I,Trip 37.0km Avg 33km/h Alt -19m\rEnergy 108Wh/km; 37% recd\rSOC -2.0% = 64.0%\rRange -9.8km = 289.0km\r","h_recordnumber":4001,"h_timestamp":"2023-01-12 15:03:45"},{"h_data":"I,Trip 45.0km Avg 36km/h Alt +20m\rEnergy 104Wh/km; 36% recd\rSOC -1.5% = 62.5%\rRange -7.2km = 281.8km\r","h_recordnumber":4028,"h_timestamp":"2023-01-12 15:20:09"},{"h_data":"I,Trip 54.0km Avg 37km/h Alt -20m\rEnergy 104Wh/km; 36% recd\rSOC -2.0% = 60.5%\rRange -9.6km = 272.2km\r","h_recordnumber":4100,"h_timestamp":"2023-01-12 16:05:05"},{"h_data":"I,Trip 69.0km Avg 30km/h Alt +9m\rEnergy 120Wh/km; 33% recd\rSOC -6.0% = 54.5%\rRange -29.9km = 242.3km\r","h_recordnumber":10343,"h_timestamp":"2023-01-13 06:40:09"},{"h_data":"I,Trip 77.0km Avg 37km/h Alt -30m\rEnergy 117Wh/km; 34% recd\rSOC -2.0% = 52.5%\rRange -10.2km = 232.1km\r","h_recordnumber":25561,"h_timestamp":"2023-01-13 15:12:47"},{"h_data":"I,Trip 78.0km Avg 27km/h Alt +3m\rEnergy 119Wh/km; 33% recd\rSOC -0.5% = 52.0%\rRange -3.9km = 228.2km\r","h_recordnumber":25707,"h_timestamp":"2023-01-13 15:22:29"}]
➜  /config

Is there any filter I can use to get only latest data?

Thank you for your help in advance!

2

Your attributes are taking only the first set.
For the attributes it is not possible (yet) to write a template

Option 1: if you know that the number of blocks is always the same then you can refer to it via the json_attributes_path (see the documentation on restful)…in the above output the last would be block 62 so

json_attributes_path: $.62

Option 2: if the feedback differs then you could load the whole json into a single sensor (as attributes) and work from there on with additional template sensor(s)

3

Thank you @vingerha for your help!
In the meantime I figured out different call to get the latest data but what I get is:

h_timestamp: 2023-01-13 19:36:52
h_data: {"v.b.consumption":0,"xkn.v.trip.consumption.KWh/100km":17.8205,"xkn.v.trip.consumption.km/kWh":5.6115}
friendly_name: ev_consumption

I know how to get records only from h_data, but this h_data contains:

{"v.b.consumption":0,"xkn.v.trip.consumption.KWh/100km":17.8205,"xkn.v.trip.consumption.km/kWh":5.6115}

Any suggestion how to get only data from:

"xkn.v.trip.consumption.KWh/100km"

How to configure sensor?
Thanks!

4

Not sure what/how you did this but maybe this will help, try pasting it in Developer Tools > Templates

{## Imitate available variables: ##}
{% set my_test_json = {
    "h_timestamp": '2023-01-13 19:36:52',
    "h_data": {"v.b.consumption":0,"xkn.v.trip.consumption.KWh/100km":17.8205,"xkn.v.trip.consumption.km/kWh":5.6115},
    "friendly_name": ev_consumption,
} %}

{{ my_test_json.h_data['xkn.v.trip.consumption.km/kWh'] }}
1 Like
5

It works!!! Thank you so much!!!
I get exactly what I wanted!!!

Now I’ll try to figure out how the sensor should be configured :slight_smile:

6

I really can’t figure out the configuration of sensor for xkn.v.trip.consumption.km/kWh
I get data from REST api by calling:

- resource: "https://api.openvehicles.com:6869/api/historical/<vehicle-id>/XKN-LOG-Consumption/?username=<user>&password=<password>"
  scan_interval: 120
  sensor:
    - name: ev_consumption
      value_template: "{{ value_json.h_data }}"
      json_attributes:
        - h_timestamp
        - h_data

and the output of sensor is:

h_timestamp: 2023-01-13 19:36:52
h_data: {"v.b.consumption":0,"xkn.v.trip.consumption.KWh/100km":17.8205,"xkn.v.trip.consumption.km/kWh":5.6115}
friendly_name: ev_consumption

If I put the above template from @vingerha into developer tools (template) I get:

5.6115

which is the right value, but I want values from entity sensor.ev_consumption which comes from REST api.

Can anyone help me with templating the sensor for consumption → h_data “xkn.v.trip.consumption.km/kWh”?

This REST api I get from open vehicles server. In their docs is stated:

Field h_data contains the JSON encoded metrics dump, so needs to be parsed via JSON.parse() or the respective client platform variant.

But don’t know how to do that. I would appreciate some help here with configuring the sensor.

Thanks!

7

still not sure what you want where but here are more pointers

- resource: "https://api.openvehicles.com:6869/api/historical/<vehicle-id>/XKN-LOG-Consumption/?username=<user>&password=<password>"
   scan_interval: 120
   sensor:
      - name: ev_consumption
        value_template: "{{ value_json.h_data['xkn.v.trip.consumption.km/kWh'] }}"
        json_attributes_path: $.h_data
        json_attributes:
          - xkn.v.trip.consumption.km/kWh
8

@vingerha thanks for your help. It didn’t work…i got state unknown.
I took different approach:
From sensor from REST api forward I created template sensor:

  - platform: template
    sensors:
      ev_h_data:
        friendly_name: h_data
        value_template: "{{ state_attr('sensor.ev_consumption', 'h_data' ) }}"

I get this state:

{
  "xkn.v.trip.consumption.KWh/100km": 17.8205
}

then from this I created one more sensor:

  - platform: template
    sensors:
      ev_h_data_consumption:
        friendly_name: h_data Consumption
        value_template: "{{ states('sensor.ev_h_data').split(':')[1] }}"
        unit_of_measurement: "kWh/100km"

and i get state:

17.8205}

Firstly, I don’t know how to get rid of } after the value?

Secodnly, if I parse the value from REST api from JSONformatter I can see more records (the server runs script every minute to tunnel data to rest api. It looks like this:

[
  {
    "h_data": "{\"v.b.consumption\":0,\"xkn.v.trip.consumption.KWh/100km\":17.8205,\"xkn.v.trip.consumption.km/kWh\":5.6115}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-13 19:36:52"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":17.8205}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 12:50:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":17.8205}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 14:04:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":17.8205}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 15:52:35"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":17.8205}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 15:53:35"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":17.8205}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 15:54:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-290.002}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 15:55:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-145.001}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 15:56:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-144.998}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 15:57:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-93.3329}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 15:58:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-93.3329}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 15:59:37"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-67.5003}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:00:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-50}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:01:41"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-48.0005}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:02:40"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-40.0004}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:03:40"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-31.4287}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:04:37"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-27.4994}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:05:44"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-27.4994}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:05:54"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-27.4994}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:19:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-27.4994}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:20:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-26.2497}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:54:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-23.3331}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:55:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-22.2222}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:56:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-21.1107}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:57:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-15.4547}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:58:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-12.5}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 16:59:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-12.5}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 17:00:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-11.5385}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 17:01:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-10.7694}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 17:02:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-9.99991}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 17:03:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-8.46135}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 17:04:37"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-7.14286}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 17:05:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-6.00016}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 17:06:36"
  },
  {
    "h_data": "{\"xkn.v.trip.consumption.KWh/100km\":-5.00031}",
    "h_recordnumber": 0,
    "h_timestamp": "2023-01-14 17:07:36"
  }
]

Is there any way to parse only the latest record? Any clue or hint how to do this?

9

I still believe you donot need all those addtional sensors but as I cannot replicate this…can only work with the data you sent…try this anyhow and have a look at the results

  - resource: "https://api.openvehicles.c.......
    scan_interval: 120
    sensor:
      - name: TESTEV1
        value_template: >
            {{ value_json | list | last }}
      - name: TESTEV2
        value_template: > 
            {{ (value_json | list | last )['h_data'] }}
      - name: TESTEV3
        value_template: >
            {{ (value_json | list | last )['h_data'].split(':')[1][:-1] }}

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Thank you @vingerha! I really appreciate your help! :clap: :pray:

Now it works. Have to see when the fresh data will be tunneled from the server, I hope it will still work :slight_smile: I was really banging my head, trying, reading documentation… The learning curve here for me is very steep :slight_smile:
I’m really happy it works now! Thanks and have a nice weekend!