#PyMetrics

Redis backed metrics library - tries to implement the most of the famous Metrics library.

Examples:

import metrics
import time

rf = metrics.RetricsFactory("metrics_test")

# incremental/decr counter counter
counter = rf.new_counter("a_counter")
counter.reset()
for a in xrange(10):
    counter.incr()
print counter.get_value() # must be 10

# a gauge, which indicate an absolute value
gauge = rf.new_gauge("a_gauge")
gauge.set(10)
print gauge.get()

# a meter vith 1, 5 and 15 mins avg
meters = rf.new_meter("a_meter")
# ... do something ...
meters.mark()
# do other things, etc, better check metrics_test.py for a working example
meters.get_value()

# returns last timestamp, 1 min, 5 min, 15 min

# a timer, which marks the begin and end of a task
timer = rf.new_timer("a_timer")
timer.start()
time.sleep(5)
timer.stop()
print timer.get_value()

TODO

Needs to receive a Redis conn string, let the meter have the automatic timestamp Should use riemann optionally Meters needs a mean value Implement Histogram