# Anomaly detection problem for time series
# You need at least configuration file defining what to do, and data file 
# with time series
"""
This example uses EGADS (Extensible Generic Anomaly Detection System) is an open-source Java package to automatically detect anomalies in large scale time-series data.
"""

from java.util import Properties
from java.io import FileInputStream
from com.yahoo.egads.utilities import FileInputProcessor
from jhplot import *

print "Get a sample config file and CSV data file"
conf="sample_config.ini"
data="sample_input.csv"
fhttp="https://datamelt.org/examples/data/egads/"
print Web.get(fhttp+conf)
print Web.get(fhttp+data)

p = Properties()
iss = FileInputStream(conf)
p.load(iss)

ip = FileInputProcessor(data)
ip.processInput(p)