#!/usr/bin/env python
"""Examples of how to use the `signal_analog.flow` module.
Some basic understanding of SignalFx is assumed.
"""
from signal_analog.flow import Data, Filter, Program
# A program is a convenient wrapper around SignalFlow statements with a few
# utilities like `find_label` that returns a SignalFlow statement based on it's
# label.
program = Program()
# A timeseries representing the 'cpu.utilization' metric that is filtered
# down to just the 'shoeadmin' application. Also analyze the mean over the
# previous minute and compare it to the data from last week.
data = Data('cpu.utilization', filter=Filter('app', 'shoeadmin'))\
.mean(over='1m')\
.timeshift('1w')\
.publish('A')
program.add_statements(data)
print('{0}\n\t{1}'.format(program,
str(program) == str(program.find_label('A'))))
def test_add_statements():
data = Data('foo').publish(label='A', enable='False')
program = Program()
program.add_statements(data)
assert program.statements[0] == data
