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jasonacox / Powerwall-Dashboard

Grafana Monitoring Dashboard for Tesla Solar and Powerwall Systems
MIT License
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k3s/kubernettes install #525

Closed cfoos closed 1 week ago

cfoos commented 1 week ago

Here are the files I used to get this running on k3s. The one issue I have not fixed is that in grafana the powerflow graphic in the top right does not work. Everything else appears to work correctly.

jasonacox commented 1 week ago

Hi @cfoos - Thanks for sharing this.

The one issue I have not fixed is that in grafana the powerflow graphic in the top right does not work

The power flow animation is a iframe in an html panel on Grafana that effectively renders this animation directly from pypowerwall - you can see an example of this hitting the pypowerwall endpoint at http://pypowerwall:8675/example.html - Does that help?

cfoos commented 1 week ago

I tracked down how it was being added, but it being an iframe and finding pypowerwall via browser connection complicated it since under k3s it would be a seperate ip/hostname. Manually setting that in the dashboard helped, but if you put it behind a proxy to get a domain name it breaks in chrome, probably due to xss. I found a plugin for powerflow and I'm re-doing a k3s dashboard using it and adjusting some of the deployments to have things like readiness probes. https://github.com/A-Lehmann-Elektro-AG/solar-flow-grafana That can be pulled from grafana but that version is behind what he has on github and does not have solar added yet. I configured it to pull from the same data source as everything else and the only issue is that it is stuck to the refresh rate of the dashboard, but since this is local I just set that to 5s.

cfoos commented 1 week ago

I updated the readme with instructions for you to set up a system to test this on and added files needed for the test system. I also modified the grafana deployment to use the latest grafana since I gave up on the power flow animation in favor of that plugin, just need to wait for the next version of it for full functionality back to what we had.

jasonacox commented 1 week ago

I gave up on the power flow animation in favor of that plugin

Can we provide the option for both? The powerflow animation provides quite a bit of useful information that don't appear in the plugin.

One more minor update... We have been putting our tools and optional installations and extended capabilities in the /tools folder (https://github.com/jasonacox/Powerwall-Dashboard/tree/main/tools). It helps signal that it isn't required for the basic install. We can add an entry for this install in the index.

@cfoos I really appreciate this PR! I'll start testing...

cfoos commented 1 week ago

One more minor update... We have been putting our tools and optional installations and extended capabilities in the /tools folder

moved

cfoos commented 1 week ago

Can we provide the option for both? The powerflow animation provides quite a bit of useful information that don't appear in the plugin.

The issue is that k3s runs everything in pods that have an internal to the cluster communication that is used to get the data from pypowerwall to influxdb then to grafana, but only services set up to be accessed externally can be. Because of that, for embedded html to get data from pypowerwall you need to add a service for external access to pypowerwall and update the embedded html to point to that services ip since your browser is not internal to k3s. Unless someone else knows how, I can't get metallb to allow different deployments/pods to share an ip. Because of that you end up with xss. You could add nginx in front of grafana as a reverse proxy so you can use a domain name and do the same for pypowerwall on a subdomain, but that gets even more complicated and harder to automate down the line.

I think the best way to keep the old data would be to find a data source that can poll pypowerwall from grafana and send that data to a visualization. This seems like it may be the best datasource if we can run the js on pypowerwall and just push the update data. https://grafana.com/developers/plugin-tools/tutorials/build-a-streaming-data-source-plugin

Basically, run the entire page on the pypowerwall container and push the soe, aggregates, etc to the streaming datasource and use that to live update a visualization that has everything else hard coded instead of fetched on first load.

jasonacox commented 1 week ago

Thanks for the contribution @cfoos !