return float(((nr2 - nr1) / nr1) * 100)
+def remove_outliers(input_data, outlier_const):
+ """
+
+ :param input_data: Data from which the outliers will be removed.
+ :param outlier_const: Outlier constant.
+ :type input_data: list
+ :type outlier_const: float
+ :returns: The input list without outliers.
+ :rtype: list
+ """
+
+ data = np.array(input_data)
+ upper_quartile = np.percentile(data, 75)
+ lower_quartile = np.percentile(data, 25)
+ iqr = (upper_quartile - lower_quartile) * outlier_const
+ quartile_set = (lower_quartile - iqr, upper_quartile + iqr)
+ result_lst = list()
+ for y in data.tolist():
+ if quartile_set[0] <= y <= quartile_set[1]:
+ result_lst.append(y)
+ return result_lst
+
+
def find_outliers(input_data, outlier_const=1.5):
"""Go through the input data and generate two pandas series:
- input data without outliers
return proc.returncode, stdout, stderr
-def get_last_build_number(jenkins_url, job_name):
- """
+def get_last_successful_build_number(jenkins_url, job_name):
+ """Get the number of the last successful build of the given job.
- :param jenkins_url:
- :param job_name:
- :return:
+ :param jenkins_url: Jenkins URL.
+ :param job_name: Job name.
+ :type jenkins_url: str
+ :type job_name: str
+ :returns: The build number as a string.
+ :rtype: str
"""
url = "{}/{}/lastSuccessfulBuild/buildNumber".format(jenkins_url, job_name)
return execute_command(cmd)
+def get_last_completed_build_number(jenkins_url, job_name):
+ """Get the number of the last completed build of the given job.
+
+ :param jenkins_url: Jenkins URL.
+ :param job_name: Job name.
+ :type jenkins_url: str
+ :type job_name: str
+ :returns: The build number as a string.
+ :rtype: str
+ """
+
+ url = "{}/{}/lastCompletedBuild/buildNumber".format(jenkins_url, job_name)
+ cmd = "wget -qO- {url}".format(url=url)
+
+ return execute_command(cmd)
+
+
def archive_input_data(spec):
"""Archive the report.