Description
Hi, I have read through your excellent documentation several times over the last couple of weeks and found it to be extremely useful, and I intend to use your project to read a similar DDS-1Y-36L-80A-M power meter.
However, I do not understand how you implemented the elasticsearch and kibana for the rpi-powermeter project.
I have looked through both of the guildelines-and-procedures/[docker] for both the /elastic-monitoring-stack_7 and /elastic-monitoring-stack_8
but I cannot see how you installed these packages; are they to be installed as Docker apps on another server? or can they be installed on the raspberry pi?
I was unable to see any straightforward steps on the install process for the elasticsearch and kibana software, and when I looked at the
https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html
it looked extremely complicated and way beyond my knowledge at this stage.
I am considering modifying your powermeter.py code and replacing all of the elasticsearch and kibana references and replacing it with a simpler system of writing the collected data values into a simple csv file structure or some other database system.
Do you have any suggestions or any other code that you created that already does this?
Thank you for sharing your rpi-powermeter project, it is exactly what I was looking for.
Kind regards, Adrian Smith, Upper Hutt, New Zealand