Comments (2)
Your proposed calculation seems right to me. I'm not familiar with graphs1090, maybe the metrics being compared are not identical.
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Thanks.
For people interested, here are some average lines:
Average aircrafts last week, same day, 2 hours average: avg_over_time(dump1090_recent_aircraft_observed{job="dump1090", time_period="latest"}[2h] offset 167h)
Average messages last week, same day, 2 hours average: avg_over_time(dump1090_stats_messages_total{job="dump1090", time_period="last1min"}[2h] offset 167h) / 60
Average range last week, same day, 12 hours average: avg_over_time(dump1090_recent_aircraft_max_range{job="dump1090", time_period="latest"}[12h] offset 162h)
(I found that offset (24*7)-(avg-value/2) lines out the graph the best.)
I disabled rate(dump1090_messages_total{job="dump1090", time_period="latest"}[1m])
because it gives strange results. The green line here:
In some weeks I hope to add some other useful queries and publish the full dashboard here.
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Related Issues (19)
- Support for base dump1090
- updated Grafana dashboard HOT 2
- Max Range Is incorrect HOT 2
- SyntaxError: invalid syntax HOT 3
- Error running Docker image on Raspberry Pi HOT 2
- Building Docker image fails HOT 2
- Open JSON files locally, as files instead of via http HOT 2
- json invalid mime-type HOT 3
- dump1090-fa resource path support
- unable to pull distance/range stats if dump1090 is started after dump1090exporter HOT 1
- Possible issue with PiAware v5 HOT 2
- readsb HOT 3
- Export doesn't work HOT 15
- Update pinned dependencies to use latest aioprometheus
- [Feature Request] Graph 'Adaptive Dynamic Range' HOT 6
- PiAware 8.2 resource path /data returns 404 error HOT 1
- armhf and arm64 builds HOT 3
- Explicit Python version HOT 1
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