Hi, I'm new to kapacitor. I tried to follow the steps in custom anomaly
detection example
(https://docs.influxdata.com/kapacitor/v1.0/examples/anomaly_detection/)
However, I don't see any alert log files after running the task.
The data stream seems to be empty after running the test data generator,
ID Type Status Size Date
8724ca17-7ff5-4694-8b66-aae14d4be7f4 stream running 0 B 18 Oct 16
10:28 CDT
Here's output from "kapacitor show print_temps". It seems some events were
processed but no alerts were logged.
{
"link": {
"rel": "self",
"href": "/kapacitor/v1/tasks/print_temps"
},
"id": "print_temps",
"template-id": "",
"type": "stream",
"dbrps": [
{
"db": "printer",
"rp": "autogen"
}
],
"script": "// This TICKscript monitors the three temperatures for a 3d
printing job,\n// and triggers alerts if the temperatures start to experience
abnormal behavior.\n\n// Define our desired significance level.\nvar alpha =
0.001\n\n// Select the temperatures measurements\nvar data = stream\n
|from()\n .measurement('temperatures')\n |window()\n
.period(5m)\n .every(5m)\n\ndata\n // Run our tTest UDF on the hotend
temperature\n @tTest()\n // specify the hotend field\n
.field('hotend')\n // Keep a 1h rolling window\n .size(3600)\n
// pass in the alpha value\n .alpha(alpha)\n |alert()\n
.id('hotend')\n .crit(lambda: \"pvalue\" \u003c alpha)\n
.log('/tmp/test/hotend_failure.log')\n\n// Do the same for the bed and air
temperature.\ndata\n @tTest()\n .field('bed')\n .size(3600)\n
.alpha(alpha)\n |alert()\n .id('bed')\n .crit(lambda:
\"pvalue\" \u003c alpha)\n .log('/tmp/test/bed_failure.log')\n\ndata\n
@tTest()\n .field('air')\n .size(3600)\n .alpha(alpha)\n
|alert()\n .id('air')\n .crit(lambda: \"pvalue\" \u003c
alpha)\n .log('/tmp/test/air_failure.log')\n",
"vars": {},
"dot": "digraph print_temps {\ngraph [throughput=\"0.00
points/s\"];\n\nstream0 [avg_exec_time_ns=\"0\" ];\nstream0 -\u003e from1
[processed=\"86402\"];\n\nfrom1 [avg_exec_time_ns=\"225.328µs\" ];\nfrom1
-\u003e window2 [processed=\"86402\"];\n\nwindow2
[avg_exec_time_ns=\"160.576µs\" ];\nwindow2 -\u003e tTest7
[processed=\"288\"];\nwindow2 -\u003e tTest5 [processed=\"288\"];\nwindow2
-\u003e tTest3 [processed=\"288\"];\n\ntTest7
[avg_exec_time_ns=\"196.929082ms\" ];\ntTest7 -\u003e alert8
[processed=\"214\"];\n\nalert8 [alerts_triggered=\"9\"
avg_exec_time_ns=\"9.05µs\" crits_triggered=\"6\" infos_triggered=\"0\"
oks_triggered=\"3\" warns_triggered=\"0\" ];\n\ntTest5
[avg_exec_time_ns=\"179.950039ms\" ];\ntTest5 -\u003e alert6
[processed=\"211\"];\n\nalert6 [alerts_triggered=\"4\"
avg_exec_time_ns=\"23.838µs\" crits_triggered=\"3\" infos_triggered=\"0\"
oks_triggered=\"1\" warns_triggered=\"0\" ];\n\ntTest3
[avg_exec_time_ns=\"114.502568ms\" ];\ntTest3 -\u003e alert4
[processed=\"214\"];\n\nalert4 [alerts_triggered=\"4\"
avg_exec_time_ns=\"43.406µs\" crits_triggered=\"2\" infos_triggered=\"0\"
oks_triggered=\"2\" warns_triggered=\"0\" ];\n}",
"status": "enabled",
"executing": true,
"error": "",
"stats": {
"task-stats": {
"throughput": 0
},
"node-stats": {
"alert4": {
"alerts_triggered": 4,
"avg_exec_time_ns": 43406,
"collected": 214,
"crits_triggered": 2,
"emitted": 0,
"infos_triggered": 0,
"oks_triggered": 2,
"warns_triggered": 0
},
"alert6": {
"alerts_triggered": 4,
"avg_exec_time_ns": 23838,
"collected": 211,
"crits_triggered": 3,
"emitted": 0,
"infos_triggered": 0,
"oks_triggered": 1,
"warns_triggered": 0
},
"alert8": {
"alerts_triggered": 9,
"avg_exec_time_ns": 9050,
"collected": 214,
"crits_triggered": 6,
"emitted": 0,
"infos_triggered": 0,
"oks_triggered": 3,
"warns_triggered": 0
},
"from1": {
"avg_exec_time_ns": 225328,
"collected": 86402,
"emitted": 86402
},
"stream0": {
"avg_exec_time_ns": 0,
"collected": 86402,
"emitted": 86402
},
"tTest3": {
"avg_exec_time_ns": 114502568,
"collected": 220,
"emitted": 214
},
"tTest5": {
"avg_exec_time_ns": 179950039,
"collected": 217,
"emitted": 211
},
"tTest7": {
"avg_exec_time_ns": 196929082,
"collected": 221,
"emitted": 214
},
"window2": {
"avg_exec_time_ns": 160576,
"collected": 86402,
"emitted": 864
}
}
},
"created": "2016-10-17T21:33:16.176203257-05:00",
"modified": "2016-10-18T10:28:00.685262934-05:00",
"last-enabled": "2016-10-18T10:28:00.685262934-05:00"
}
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