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# vim: set expandtab sw=4 ts=4: |
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# disable pylint message about unused variable 'fig' |
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# pylint: disable=unused-variable |
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""" |
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Generate a chart from the gathered buildtime data. |
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Copyright (C) 2014-2016 Dieter Adriaenssens <[email protected]> |
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This file is part of buildtimetrend/python-lib |
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<https://github.com/buildtimetrend/python-lib/> |
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This program is free software: you can redistribute it and/or modify |
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it under the terms of the GNU Affero General Public License as published by |
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the Free Software Foundation, either version 3 of the License, or |
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any later version. |
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This program is distributed in the hope that it will be useful, |
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but WITHOUT ANY WARRANTY; without even the implied warranty of |
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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GNU Affero General Public License for more details. |
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You should have received a copy of the GNU Affero General Public License |
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along with this program. If not, see <http://www.gnu.org/licenses/>. |
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""" |
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from collections import OrderedDict |
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from lxml import etree |
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import matplotlib |
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# Force matplotlib to not use any Xwindow backend. |
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matplotlib.use('Agg') |
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from matplotlib import pyplot as plt |
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from buildtimetrend import logger |
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from buildtimetrend.tools import check_file |
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class Trend(object): |
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"""Trend class, generate a chart from gathered buildtime data.""" |
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def __init__(self): |
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"""Initialize instance.""" |
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self.stages = {} |
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self.builds = [] |
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def gather_data(self, result_file): |
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""" |
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Get buildtime data from an xml file. |
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Parameters |
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- result_file : xml file containing the buildtime data |
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""" |
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# load buildtimes file |
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if check_file(result_file): |
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root_xml = etree.parse(result_file).getroot() |
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else: |
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return False |
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index = 0 |
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# print content of buildtimes file |
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for build_xml in root_xml: |
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build_id = build_xml.get('build') |
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job_id = build_xml.get('job') |
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if job_id is None and build_id is None: |
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build_name = "#{0:d}".format(index + 1) |
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elif job_id is not None: |
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build_name = job_id |
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else: |
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build_name = build_id |
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self.builds.append(build_name) |
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# add 0 to each existing stage, to make sure that |
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# the indexes of each value |
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# are correct, even if a stage does not exist in a build |
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# if a stage exists, the zero will be replaced by its duration |
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for stage in self.stages: |
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self.stages[stage].append(0) |
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# add duration of each stage to stages list |
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for build_child in build_xml: |
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if build_child.tag == 'stages': |
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stage_count = len(build_child) |
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self.parse_xml_stages(build_child, index) |
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logger.debug("Build ID : %s, Job : %s, stages : %d", |
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build_id, job_id, stage_count) |
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index += 1 |
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return True |
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def parse_xml_stages(self, stages, index): |
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"""Parse stages in from xml file.""" |
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for stage in stages: |
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if (stage.tag == 'stage' and |
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stage.get('name') is not None and |
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stage.get('duration') is not None): |
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if stage.get('name') in self.stages: |
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temp_dict = self.stages[stage.get('name')] |
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else: |
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# when a new stage is added, |
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# create list with zeros, |
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# one for each existing build |
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temp_dict = [0] * (index + 1) |
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temp_dict[index] = float(stage.get('duration')) |
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self.stages[stage.get('name')] = temp_dict |
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def generate(self, trend_file): |
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""" |
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Generate the trend chart and save it as a PNG image using matplotlib. |
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Parameters |
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- trend_file : file name to save chart image to |
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""" |
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fig, axes = plt.subplots() |
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# sort stages by key |
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stages = OrderedDict(sorted(self.stages.items())) |
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# add data |
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x_values = list(range(len(self.builds))) |
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y_values = list(stages.values()) |
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plots = plt.stackplot(x_values, y_values) |
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plt.xticks(x_values, self.builds, rotation=45, size=10) |
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# label axes and add graph title |
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axes.set_xlabel("Builds", {'fontsize': 14}) |
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axes.xaxis.set_label_coords(1.05, -0.05) |
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axes.set_ylabel("Duration [s]", {'fontsize': 14}) |
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axes.set_title("Build stages trend", {'fontsize': 22}) |
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# display legend |
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legend_proxies = [] |
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for plot in plots: |
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legend_proxies.append( |
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plt.Rectangle((0, 0), 1, 1, fc=plot.get_facecolor()[0])) |
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# add legend in reverse order, in upper left corner |
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axes.legend( |
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legend_proxies[::-1], |
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list(stages.keys())[::-1], |
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loc=2 |
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) |
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# save figure |
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plt.savefig(trend_file) |
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