vo5tr0
October 28, 2022, 6:23pm
1
Hey
I have this query right now:
from(bucket: "iobroker")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "sourceanalytix.0.shelly__1__shellyplus1pm#7c87ce64d6d0#1__Relay0__Energy.cumulativeReading")
|> filter(fn: (r) => r["_field"] == "value")
|> aggregateWindow(every: 30m, fn:last)
|> difference()
|> yield(name: "mean")
It will give me a bar chart with the produced kwh in a 30 minute interval.
This works very well in a max 7 day range. But what if I want to change the dashboard to let’s say 6 months? Is there any way to dynamically adjust the “every: 30m” value to the current range?
I have really no idea yet how the flux language works… But I could think of something like this:
if range() <= 7d then
aggregateWindow(every: 30m, fn:last)
else
aggregateWindow(every: 1d, fn:last)
Is that possible somehow?
1 Like
hello,
Where would you be changing this 6 months range?
vo5tr0
October 28, 2022, 7:24pm
3
With the time range picker of my dashboard
This is how it will look with a selected range of 7 days (Every: 30m):
I want the query to automatically switch to something like that (Every: 1d):
what if they select date ranges from here?
vo5tr0
October 28, 2022, 8:00pm
5
Doesn’t matter.
I want to adjust my query as soon as the selected range is >7 days
1 Like
so let’s start with what the doc says and also those grafana global variables
color = if code == 0 then "green" else if code == 1 then "yellow" else "red"
Now let’s try capturing the time values from grafana in flux
yosiasz
October 28, 2022, 10:10pm
7
Not sure how you can capture global variales such as $__timeFilter
BUt you can capture your own variables
import "array"
filter = "$boojie"
a = [
"1",
"2",
"3",
"4",
filter,
]
b = a |> array.map(fn: (x) => ({_value: x}))
array.from(rows: b)
vo5tr0
November 5, 2022, 1:04pm
8
I came up with something like that now:
timestart = uint(v: v.timeRangeStart)
timestop = uint(v: v.timeRangeStop)
duration = duration(v:timestop - timestart)
from(bucket: "iobroker")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "sourceanalytix.0.shelly__1__shellyplus1pm#7c87ce64d6d0#1__Relay0__Energy.cumulativeReading")
|> filter(fn: (r) => r["_field"] == "value")
|> aggregateWindow(every: if int(v:duration) <= int(v:2d) then 30m else if int(v:duration) <= int(v:7d) then 1h else 1d , fn:last)
|> difference()
|> yield(name: "mean")
Works perfectly
Maybe I am able to help someone else with these problems:
First error was:
time is not Subtractable
Solution:
You have to convert the timestamp value to unix time with the uint() function
Second error:
unsupported binary expression duration < duration
Solution:
To compare two durations (e.g. 1d < 2d) you have to convert them to a numeric value first.
int(v:1d) < int(v:2d)
3 Likes