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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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