def test_request_irise_id(self):
instance = pyoptimus('raw_list')
results = instance.build_results('com.tasktop.connector.irise', 1)
self.assertEquals(int(results[0][0]), 16)
def test_request_irise_last_fails(self):
instance = pyoptimus('raw_list')
fails = instance.last_fails('com.tasktop.connector.irise')
self.assertEquals(fails, 0)
def __init__(self, username, password):
self.log_lines = []
self.jenkins = pyjenkins(username, password)
self.optimus = pyoptimus('raw_list')
assert self.jenkins.login()
self._log_line("Login successful. [" + username + "]")
'''build statistics'''
import numpy as np
from pyoptimus import pyoptimus
from collections import defaultdict
def mean_std(arr):
mean = float(np.mean(arr, axis=0))
std = float(np.std(arr, axis=0))
print "Mean={0:.2f}".format(mean)
print "Std={0:.2f}".format(std)
pyopt_raw = pyoptimus('raw_list')
results = [r for r in pyopt_raw.build_results() if 'None' not in r]
# Which day of the month as the most test failures?
def failures_on_day(results):
print "Which day of the month has the most test failures?"
days = [str(i) for i in range(1, 32)]
days_failures = defaultdict(int)
for day in days:
if len(day) == 1:
day = '0' + day
for result in results:
if result[6] == day:
days_failures[day] += int(result[2])
failure_list1 = []
for day in days:
'''usage example'''
# import
from pyoptimus import pyoptimus
# instantiate an instance
instance = pyoptimus()
# get recent build results
res = instance.build_results()
# print a build result
print res[0]
# print number of build results retrieved
print "Total build results: ", len(res)
# grab build results for a certain connector
sp_results = instance.build_results('sharepoint')
print "Sharepoint build results: ", len(sp_results), sp_results[0]
# Get a few rally build results and serialize as csv
csv_instance = pyoptimus('csv')
print csv_instance.schema()
print csv_instance.build_results('jira')[:4]