Hi @kabs
This is a tricky one and I’m not totally sure this would work, but I believe you should be able to use Go and Flux to do the bit extraction and then send that info to Grafana for display.
First convert the integer value to its binary representation using the strconv.FormatInt()
function in Go. For example, if the integer value is 255
, you can convert it to binary representation as follows:
statusWord := 255
binaryWord := strconv.FormatInt(int64(statusWord), 2) // "11111111"
Next, once you have the binary representation, you can extract each bit using the strings.Split()
function and then iterate over the resulting array to map each bit to its corresponding status. For example, let’s say you have the following mapping of bits to statuses:
Bit |
Status |
0 |
Error A |
1 |
Error B |
2 |
Error C |
3 |
Error D |
4 |
Error E |
5 |
Error F |
6 |
Error G |
7 |
Error H |
You can use the following code to extract each bit and map it to its corresponding status:
bits := strings.Split(binaryWord, "")
for i, bit := range bits {
if bit == "1" {
// Map the bit to its corresponding status
switch i {
case 0:
// Bit 0 corresponds to Error A
// Do something here
case 1:
// Bit 1 corresponds to Error B
// Do something here
case 2:
// Bit 2 corresponds to Error C
// Do something here
// Add more cases for the remaining bits and statuses
}
}
}
Finally, you can use the map()
function in Flux to create a new table with the mapped statuses. For example, let’s say you want to create a table with two columns: Status
and Count
in Flux:
from(bucket: "my-bucket")
|> range(start: -1h)
|> filter(fn: (r) => r._measurement == "my-measurement")
|> map(fn: (r) => ({
status: r.status,
count: 1
}))
|> reduce(
fn: (r, accumulator) => ({
status: r.status,
count: r.count + accumulator.count
})
)
|> map(fn: (r) => ({
_time: now(),
_value: r.count,
_field: "Count",
Status: r.status
}))
The above creates a new table with the mapped statuses and the count of occurrences of each status in the original table. You can then use this table to create a visualization (e.g. Stat Panel) in Grafana.