Join the 1-day Testing & QA Summit featuring 15+ Expert Speakers.Register for FREE! Join TestMu Conference

How to use _get_hostnames_in_bucket method in autotest

Best Python code snippet using autotest_python

graphing_utils.py

Source:graphing_utils.py

...528    plot_info = MetricsPlot(query_dict, plot_type, inverted_series,529                            normalize_to, drilldown_callback)530    figure, area_data = _create_metrics_plot_helper(plot_info, extra_text)531    return _create_image_html(figure, area_data, plot_info)532def _get_hostnames_in_bucket(hist_data, bucket):533    """\534    Get all the hostnames that constitute a particular bucket in the histogram.535    hist_data: list containing tuples of (hostname, pass_rate)536    bucket: tuple containing the (low, high) values of the target bucket537    """538    return [hostname for hostname, pass_rate in hist_data539            if bucket[0] <= pass_rate < bucket[1]]540def _create_qual_histogram_helper(plot_info, extra_text=None):541    """\542    Create a machine qualification histogram of the given data.543    plot_info: a QualificationHistogram544    extra_text: text to show at the upper-left of the graph545    TODO(showard): move much or all of this into methods on546    QualificationHistogram547    """548    cursor = readonly_connection.cursor()549    cursor.execute(plot_info.query)550    if not cursor.rowcount:551        raise NoDataError('query did not return any data')552    # Lists to store the plot data.553    # hist_data store tuples of (hostname, pass_rate) for machines that have554    #     pass rates between 0 and 100%, exclusive.555    # no_tests is a list of machines that have run none of the selected tests556    # no_pass is a list of machines with 0% pass rate557    # perfect is a list of machines with a 100% pass rate558    hist_data = []559    no_tests = []560    no_pass = []561    perfect = []562    # Construct the lists of data to plot563    for hostname, total, good in cursor.fetchall():564        if total == 0:565            no_tests.append(hostname)566            continue567        if good == 0:568            no_pass.append(hostname)569        elif good == total:570            perfect.append(hostname)571        else:572            percentage = 100.0 * good / total573            hist_data.append((hostname, percentage))574    interval = plot_info.interval575    bins = range(0, 100, interval)576    if bins[-1] != 100:577        bins.append(bins[-1] + interval)578    figure, height = _create_figure(_SINGLE_PLOT_HEIGHT)579    subplot = figure.add_subplot(1, 1, 1)580    # Plot the data and get all the bars plotted581    _,_, bars = subplot.hist([data[1] for data in hist_data],582                         bins=bins, align='left')583    bars += subplot.bar([-interval], len(no_pass),584                    width=interval, align='center')585    bars += subplot.bar([bins[-1]], len(perfect),586                    width=interval, align='center')587    bars += subplot.bar([-3 * interval], len(no_tests),588                    width=interval, align='center')589    buckets = [(bin, min(bin + interval, 100)) for bin in bins[:-1]]590    # set the x-axis range to cover all the normal bins plus the three "special"591    # ones - N/A (3 intervals left), 0% (1 interval left) ,and 100% (far right)592    subplot.set_xlim(-4 * interval, bins[-1] + interval)593    subplot.set_xticks([-3 * interval, -interval] + bins + [100 + interval])594    subplot.set_xticklabels(['N/A', '0%'] +595                        ['%d%% - <%d%%' % bucket for bucket in buckets] +596                        ['100%'], rotation=90, size='small')597    # Find the coordinates on the image for each bar598    x = []599    y = []600    for bar in bars:601        x.append(bar.get_x())602        y.append(bar.get_height())603    f = subplot.plot(x, y, linestyle='None')[0]604    upper_left_coords = f.get_transform().transform(zip(x, y))605    bottom_right_coords = f.get_transform().transform(606        [(x_val + interval, 0) for x_val in x])607    # Set the title attributes608    titles = ['%d%% - <%d%%: %d machines' % (bucket[0], bucket[1], y_val)609              for bucket, y_val in zip(buckets, y)]610    titles.append('0%%: %d machines' % len(no_pass))611    titles.append('100%%: %d machines' % len(perfect))612    titles.append('N/A: %d machines' % len(no_tests))613    # Get the hostnames for each bucket in the histogram614    names_list = [_get_hostnames_in_bucket(hist_data, bucket)615                  for bucket in buckets]616    names_list += [no_pass, perfect]617    if plot_info.filter_string:618        plot_info.filter_string += ' AND '619    # Construct the list of drilldown parameters to be passed when the user620    # clicks on the bar.621    params = []622    for names in names_list:623        if names:624            hostnames = ','.join(_quote(hostname) for hostname in names)625            hostname_filter = 'hostname IN (%s)' % hostnames626            full_filter = plot_info.filter_string + hostname_filter627            params.append({'type': 'normal',628                           'filterString': full_filter})...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.