def _output(self, sprint, dates, graph_series, graph_end_date):
# convert all y series to percents
percent_series = OrderedDict()
for name, serie in graph_series.items():
percent_series[name] = serie.get_values_as_percent()
# add future days (up to graph_end_date) so that the graph looks more realistic
if len(dates) and sprint.get_zebra_data('end_date') > dates[-1]:
today = datetime.date.today()
future_dates = DateHelper.get_future_days(
sprint.get_zebra_data('end_date'), dates[-1] != today, False)
for date in future_dates:
dates.append(date)
# generate main graph (sprint burnup)
chart = SprintBurnUpChart.get_chart(dates, percent_series)
# generate top graphs (result per serie)
top_graph_series = ['md', 'sp', 'bv']
result_charts = {}
for name, serie in graph_series.items():
if name in top_graph_series:
result_charts[name] = ResultPerValuePie.get_chart(
(serie.get_max_value(), serie.get_commited_value()))
# collect all needed values for graph output
args = []
args.append('{} ({})'.format(
sprint.get_jira_data('sprint_name').replace('+', ' '),
sprint.name))
args.append('Velocity: actual: {:.2f} expected: {:.2f}'.format(
sprint.get_actual_velocity(), sprint.get_expected_velocity()))
for name in result_charts:
serie = graph_series.get(name)
args.append(
'{serie_name} {percent:.0f}%<br/>({result:.0f}/{max_value:.0f})'
.format(
serie_name=serie.name.upper(),
percent=serie.get_result_as_percent(),
result=serie.get_max_value(),
max_value=serie.get_commited_value(),
))
args.append(result_charts[name].render(is_unicode=True))
args.append(chart.render(is_unicode=True))
# generate the html structure and embed all values
html_generator = SprintBurnupHtmlOutput(result_charts.keys())
html = html_generator.get_html_structure().format(*args)
# write the graph to file
path = 'sprint_burnup-%s-%s.html' % (UrlHelper.slugify(
sprint.name), datetime.datetime.now().strftime("%Y%m%d"))
graph_location = OutputHelper.write_to_file(path, html)
print 'Your graph is available at %s' % graph_location
def _output(self, sprint, dates, graph_series, graph_end_date):
# convert all y series to percents
percent_series = OrderedDict()
for name, serie in graph_series.items():
percent_series[name] = serie.get_values_as_percent()
# add future days (up to graph_end_date) so that the graph looks more realistic
if len(dates) and sprint.get_zebra_data('end_date') > dates[-1]:
today = datetime.date.today()
future_dates = DateHelper.get_future_days(sprint.get_zebra_data('end_date'), dates[-1] != today, False)
for date in future_dates:
dates.append(date)
# generate main graph (sprint burnup)
chart = SprintBurnUpChart.get_chart(dates, percent_series)
# generate top graphs (result per serie)
top_graph_series = ['md', 'sp', 'bv']
result_charts = {}
for name, serie in graph_series.items():
if name in top_graph_series:
result_charts[name] = ResultPerValuePie.get_chart((serie.get_max_value(), serie.get_commited_value()))
# collect all needed values for graph output
args = []
args.append('{} ({})'.format(sprint.get_jira_data('sprint_name').replace('+', ' '), sprint.name))
args.append(
'Velocity: actual: {:.2f} expected: {:.2f}'.format(
sprint.get_actual_velocity(), sprint.get_expected_velocity()
)
)
for name in result_charts:
serie = graph_series.get(name)
args.append('{serie_name} {percent:.0f}%<br/>({result:.0f}/{max_value:.0f})'.format(
serie_name=serie.name.upper(),
percent=serie.get_result_as_percent(),
result=serie.get_max_value(),
max_value=serie.get_commited_value(),
))
args.append(result_charts[name].render(is_unicode=True))
args.append(chart.render(is_unicode=True))
# generate the html structure and embed all values
html_generator = SprintBurnupHtmlOutput(result_charts.keys())
html = html_generator.get_html_structure().format(*args)
# write the graph to file
path = 'sprint_burnup-%s-%s.html' % (
UrlHelper.slugify(sprint.name),
datetime.datetime.now().strftime("%Y%m%d")
)
graph_location = OutputHelper.write_to_file(path, html)
print 'Your graph is available at %s' % graph_location
