UPS RTCS version 03.02.00

[glamas]

Hello:
I have installed a cacti 1.2.22 with php 8.1 and I am trying to create a template for the RTCS UPS it works with the mibs that are in https://www.circitor.fr/Mibs/Html/N/NextUPSSystems.php. When I consult it by snmp the computer responds

snmpget

snmpget.png (15.02 KiB) Viewed 2044 times

with oid 1.3.6.1.4.1.21111.1.2.4.8.1.2.0 and when I execute the troobleshooting --> data source

troobleshooting --> data source--> output

output.png (19.63 KiB) Viewed 2044 times

troobleshooting --> data source --> Input

input.png (20.69 KiB) Viewed 2044 times

the computer responds and does not show error however the template does not save the data.

template graphs

template graph.png (30.59 KiB) Viewed 2044 times

[TheWitness]

Check the max values in the rrdfile using the rrdtool info file.rrd command and make sure you are not clipping. Then, if you are, make sure your Data Template has a good maximum value defined for the outputs.

[glamas]

rrd_version = "0003"
step = 300
last_update = 1671215105
header_size = 3704
ds[Output].index = 0
ds[Output].type = "GAUGE"
ds[Output].minimal_heartbeat = 600
ds[Output].min = 0.0000000000e+00
ds[Output].max = 1.0000000000e+03
ds[Output].last_ds = "2300"
ds[Output].value = NaN
ds[Output].unknown_sec = 5
rra[0].cf = "AVERAGE"
rra[0].rows = 600
rra[0].cur_row = 338
rra[0].pdp_per_row = 1
rra[0].xff = 5.0000000000e-01
rra[0].cdp_prep[0].value = NaN
rra[0].cdp_prep[0].unknown_datapoints = 0
rra[1].cf = "AVERAGE"
rra[1].rows = 700
rra[1].cur_row = 86
rra[1].pdp_per_row = 6
rra[1].xff = 5.0000000000e-01
rra[1].cdp_prep[0].value = 0.0000000000e+00
rra[1].cdp_prep[0].unknown_datapoints = 5
rra[2].cf = "AVERAGE"
rra[2].rows = 775
rra[2].cur_row = 289
rra[2].pdp_per_row = 24
rra[2].xff = 5.0000000000e-01
rra[2].cdp_prep[0].value = 0.0000000000e+00
rra[2].cdp_prep[0].unknown_datapoints = 5
rra[3].cf = "AVERAGE"
rra[3].rows = 797
rra[3].cur_row = 472
rra[3].pdp_per_row = 288
rra[3].xff = 5.0000000000e-01
rra[3].cdp_prep[0].value = NaN
rra[3].cdp_prep[0].unknown_datapoints = 221
rra[4].cf = "MIN"
rra[4].rows = 600
rra[4].cur_row = 252
rra[4].pdp_per_row = 1
rra[4].xff = 5.0000000000e-01
rra[4].cdp_prep[0].value = NaN
rra[4].cdp_prep[0].unknown_datapoints = 0
rra[5].cf = "MIN"
rra[5].rows = 700
rra[5].cur_row = 49
rra[5].pdp_per_row = 6
rra[5].xff = 5.0000000000e-01
rra[5].cdp_prep[0].value = inf
rra[5].cdp_prep[0].unknown_datapoints = 5
rra[6].cf = "MIN"
rra[6].rows = 775
rra[6].cur_row = 214
rra[6].pdp_per_row = 24
rra[6].xff = 5.0000000000e-01
rra[6].cdp_prep[0].value = inf
rra[6].cdp_prep[0].unknown_datapoints = 5
rra[7].cf = "MIN"
rra[7].rows = 797
rra[7].cur_row = 648
rra[7].pdp_per_row = 288
rra[7].xff = 5.0000000000e-01
rra[7].cdp_prep[0].value = NaN
rra[7].cdp_prep[0].unknown_datapoints = 221
rra[8].cf = "MAX"
rra[8].rows = 600
rra[8].cur_row = 444
rra[8].pdp_per_row = 1
rra[8].xff = 5.0000000000e-01
rra[8].cdp_prep[0].value = NaN
rra[8].cdp_prep[0].unknown_datapoints = 0
rra[9].cf = "MAX"
rra[9].rows = 700
rra[9].cur_row = 4
rra[9].pdp_per_row = 6
rra[9].xff = 5.0000000000e-01
rra[9].cdp_prep[0].value = -inf
rra[9].cdp_prep[0].unknown_datapoints = 5
rra[10].cf = "MAX"
rra[10].rows = 775
rra[10].cur_row = 58
rra[10].pdp_per_row = 24
rra[10].xff = 5.0000000000e-01
rra[10].cdp_prep[0].value = -inf
rra[10].cdp_prep[0].unknown_datapoints = 5
rra[11].cf = "MAX"
rra[11].rows = 797
rra[11].cur_row = 128
rra[11].pdp_per_row = 288
rra[11].xff = 5.0000000000e-01
rra[11].cdp_prep[0].value = NaN
rra[11].cdp_prep[0].unknown_datapoints = 221
rra[12].cf = "LAST"
rra[12].rows = 600
rra[12].cur_row = 198
rra[12].pdp_per_row = 1
rra[12].xff = 5.0000000000e-01
rra[12].cdp_prep[0].value = NaN
rra[12].cdp_prep[0].unknown_datapoints = 0
rra[13].cf = "LAST"
rra[13].rows = 700
rra[13].cur_row = 269
rra[13].pdp_per_row = 6
rra[13].xff = 5.0000000000e-01
rra[13].cdp_prep[0].value = NaN
rra[13].cdp_prep[0].unknown_datapoints = 5
rra[14].cf = "LAST"
rra[14].rows = 775
rra[14].cur_row = 659
rra[14].pdp_per_row = 24
rra[14].xff = 5.0000000000e-01
rra[14].cdp_prep[0].value = NaN
rra[14].cdp_prep[0].unknown_datapoints = 5
rra[15].cf = "LAST"
rra[15].rows = 797
rra[15].cur_row = 38
rra[15].pdp_per_row = 288
rra[15].xff = 5.0000000000e-01
rra[15].cdp_prep[0].value = NaN
rra[15].cdp_prep[0].unknown_datapoints = 221

[Osiris]

Yup, it's clipping. Your RRDfile and template have a max value of 1000, and the values attempting to be inserted is 2300. So, every value will be discarded. Modify you Data Template and make the max value 'U'. Then delete the RRDfiles and let cacti recreate it and you will be all set.

[glamas]

Thanks that was the problem. Some idea to see how I can divide by 10 the value of the oid

From now on thanks

[TheWitness]

Just create a CDEF of CURRENT_DATASOURCE,10,/ call it "Divide by 10" and apply to your Graph Items and GPRINT Items and you will be all set. If you want to divide the value @ creation time, currently you have to do that in a script.

There is an outstanding feature to perform regex's @ creation time, but it's not a super high priority for me or the other Cacti Group member as CDEF's just work.

[glamas]

Thank you, It ´s good!!