#!/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
import random
import time
#import gevent

client = redis.Redis('localhost', 6379)
t = Timeseries(client, {
  '5second': {
    'step': 5,      # 5 seconds
    'steps' : 360,  # last half hour
    'read_cast' : float,
  },
  'minute':{
    'step':60,      # 60 seconds
    'steps':120,    # last 2 hours
    'read_cast' : float,
  },
  'hour':{
    'step':3600,      # 1 hour
    'steps':48,       # last 2 days
    'resolution':60,   # 1 minute resolution
    'compress':True,  # compress the data
    'read_cast' : float,
  }
})

# Insert random numbers. To show compression working, cast the floats
# to strings and trim to 1 decimal place
print 'Inserting for 5 minutes' # more or less
for second in range(1*60):
  num_per_sec = 5000
  sleep = 1/num_per_sec
  for _something in range(num_per_sec):
    num = "%.1f"%(random.random())
    t.insert('integration', num)
    time.sleep( sleep )

print 'last 5 seconds'
series = t.get('integration', '5second', condensed=True)
print '  count', len(series)
print '  min  ', min(series)
print '  max  ', max(series)
print '  avg  ', (sum(series) / len(series))

print 'last minute'
series = t.get('integration', 'minute', condensed=True)
print '  count', len(series)
print '  min  ', min(series)
print '  max  ', max(series)
print '  avg  ', (sum(series) / len(series))

print 'last hour'
series = t.get('integration', 'hour', condensed=True)
print '  count', len(series)
print '  min  ', min(series)
print '  max  ', max(series)
print '  avg  ', (sum(series) / len(series))