A tool to count runtime metrics
Project description
procstat
This library helps to count runtime metrics. For specific events you increment manually the corresponding counters. By default the library dumps all counters into stderr each 3 seconds. It also can display the speed of metric is changing.
It also can dump metrics into influxdb, will be documented later, see source code for details.
Installation
pip install -U procstat
Usage
import time
from procstat import Stat
stat = Stat(speed_keys=['foo', 'bar'])
while True:
stat.inc('foo') # default increment is 1
stat.inc('bar', 100)
stat.inc('baz', 500)
time.sleep(1)
That code will produce output like:
DEBUG:procstat:EPS: bar: 0.0, foo: 0.0 | TOTAL:
DEBUG:procstat:EPS: bar: 1.0, foo: 0.0+ | TOTAL: bar: 40, baz: 80, foo: 4
DEBUG:procstat:EPS: bar: 2.0, foo: 0.0+ | TOTAL: bar: 70, baz: 140, foo: 7
DEBUG:procstat:EPS: bar: 3.0, foo: 0.0+ | TOTAL: bar: 100, baz: 200, foo: 10
DEBUG:procstat:EPS: bar: 4.0, foo: 0.0+ | TOTAL: bar: 130, baz: 260, foo: 13
DEBUG:procstat:EPS: bar: 5.0, foo: 0.0+ | TOTAL: bar: 160, baz: 320, foo: 16
DEBUG:procstat:EPS: bar: 6.0, foo: 0.0+ | TOTAL: bar: 190, baz: 380, foo: 19
DEBUG:procstat:EPS: bar: 7.0, foo: 0.0+ | TOTAL: bar: 220, baz: 440, foo: 22
DEBUG:procstat:EPS: bar: 8.0, foo: 0.0+ | TOTAL: bar: 250, baz: 500, foo: 25
DEBUG:procstat:EPS: bar: 9.0, foo: 0.0+ | TOTAL: bar: 280, baz: 560, foo: 28
DEBUG:procstat:EPS: bar: 10.0, foo: 1.0 | TOTAL: bar: 310, baz: 620, foo: 31
DEBUG:procstat:EPS: bar: 10.0, foo: 1.0 | TOTAL: bar: 340, baz: 680, foo: 34
DEBUG:procstat:EPS: bar: 10.0, foo: 1.0 | TOTAL: bar: 370, baz: 740, foo: 37
...
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