This is a port of the Scala Ostrich library. This port is currently a work in progress, so only the stuff covered in the unit tests are considered to be completed.
There are three kinds of statistics that ostrich captures:
A counter is a value that never decreases. Examples might be "
widgets_sold" or "
births". You just click the counter each time a countable event happens, and graphing utilities usually graph the deltas over time. To increment a counter, use:
stats.incr("births") # or stats.incr("widgets_sold", 5)
A gauge is a value that has a discrete value at any given moment, like "
heap_used" or "
current_temperature". It's usually a measurement that you only need to take when someone asks. To define a gauge, stick this code somewhere in the server initialization:
stats.make_gauge("current_temperature", lambda: my_thermometer.get_temperature_in_celcius()) # you can also create a gauge by decorating a method: @stats.gauge("current_temperature") def current_temperature(): return my_thermometer.get_temperature_in_celcius()
Gauge methods should always return a number (either an integer or a float)
A timing is a stopwatch timer around code, like so:
with stats.time("translation"): document.translate("de", "en") # you can also time something by decorating the method: @stats.time("translation") def translation(): document.translate("de", "en")
Timings are collected in aggregate, and the aggregation is reported through the "
stats" command. The aggregation includes the count (number of timings performed), sum, maximum, minimum, average, standard deviation, and sum of squares (useful for aggregating the standard deviation).
Dump stats as JSON
There is a
stats.json_encoder function provided to make dumping that stats to JSON easy.
Twisted Web Resource
If you are using Twisted Web, there is a ready to use Resource available:
from ostrich.twisted import StatsResource
This resource will respond to the query string parameter
reset=(0|1). If not specified, the default is