#!/usr/bin/env python

import sys, os
sys.path.append(os.path.abspath("."))
sys.path.append(os.path.abspath(".."))

from kairos import Timeseries
import redis

# Change these constants to see the differences. When toggling the
# count flag, you'll have to reset the redis database if there is
# already data for the same time window
COUNT_ONLY = False
CONDENSED = False
STEP = 60
RESOLUTION = 10

client = redis.Redis('localhost', 6379)
t = Timeseries(client, {
  'minute':{
    'step':STEP,
    'steps':10,           # last 10 minutes
    'read_cast' : float,  # cast all results as floats
    'resolution': RESOLUTION,
    'count_only': COUNT_ONLY
  }
})

t.insert('example', 3.14159)
t.insert('example', 2.71828)

print 'get last minute'
print t.get('example', 'minute', condensed=CONDENSED)

print '\ncount last minute'
print t.count('example', 'minute', condensed=CONDENSED)

print '\nlast 4 minutes'
for interval,series in t.series('example', 'minute', 4, condensed=CONDENSED).iteritems():
  print interval
  if CONDENSED:
    print '  ', series
    continue

  if STEP==RESOLUTION:
    print '  ',series
  else:
    for resolution,data in series.iteritems():
      print '  ',resolution, data