def dashboard():
today = timeutils.today()
reporting_unit = request_arg('reporting_unit',
default=config.REPORTING_WINDOW)
previous_periods = int(request_arg('previous_periods', default=12))
reporting_periods = [
reporting_period(reporting_unit, today, -i)
for i in reversed(xrange(previous_periods))
]
current_period = reporting_periods[-1]
developers = User.objects.developers()
# Randomise order of developers with equal bug counts
# FIXME: show developers as tied in template
shuffle(developers)
num_closed = lambda u: len(u.closed_issues().closed_in(
current_period.start, current_period.end))
# Rank from lowest number of closed bugs to highest
ranked = sorted(((dev, num_closed(dev)) for dev in developers),
key=lambda pair: pair[1])
# FIXME: this needs some work.
# This currently makes 3 * previous_periods (i.e. 36) separate Mongo queries
# Number of bugs opened/closed in each period
opened_closed_bugs = [{
'period':
period,
'opened':
len(Issue.objects.opened_in(period.start, period.end)),
'closed':
len(Issue.objects.closed_in(period.start, period.end))
} for period in reporting_periods]
# Point-in-time open bug count
open_bugs = [{
'period': period,
'count': len(Issue.objects.open_at(period.end))
} for period in reporting_periods]
# Close rate
current_close_rate = opened_closed_bugs[-1]['closed'] - opened_closed_bugs[
-1]['opened']
previous_close_rate = opened_closed_bugs[-2][
'closed'] - opened_closed_bugs[-2]['opened']
close_rate_delta = abs(int(float(current_close_rate) / float(previous_close_rate) * 100)) \
if previous_close_rate else float('inf')
return render_template(
'dashboard.jinja2',
# Context vars
today=today,
period_label=reporting_unit,
ranked=ranked,
opened_closed_bugs=opened_closed_bugs,
open_bugs=open_bugs,
open_bug_count=open_bugs[-1]['count'],
prev_open_bug_count=open_bugs[-2]['count'])
def old_bugs():
"Display issues opened before some date."
request_date = request_arg('opened-before')
threshold = timeutils.with_local_tz(datetime.strptime(request_date, '%Y-%m-%d')) if request_date \
else reporting.sprint_reporting_period(timeutils.today()).start
issues = Issue.objects.older_than(threshold).order_by('-opened')
return render_template('old-issues.jinja2', date=threshold, issues=issues)
def old_bugs():
"Display issues opened before some date."
request_date = request_arg('opened-before')
threshold = timeutils.with_local_tz(datetime.strptime(request_date, '%Y-%m-%d')) if request_date \
else reporting.sprint_reporting_period(timeutils.today()).start
issues = Issue.objects.older_than(threshold).order_by('-opened')
return render_template('old-issues.jinja2', date=threshold, issues=issues)
def dashboard():
today = timeutils.today()
reporting_unit = request_arg('reporting_unit', default=config.REPORTING_WINDOW)
previous_periods = int(request_arg('previous_periods', default=12))
reporting_periods = [reporting_period(reporting_unit, today, -i)
for i in reversed(xrange(previous_periods))]
current_period = reporting_periods[-1]
developers = User.objects.developers()
# Randomise order of developers with equal bug counts
# FIXME: show developers as tied in template
shuffle(developers)
num_closed = lambda u: len(u.closed_issues().closed_in(current_period.start,
current_period.end))
# Rank from lowest number of closed bugs to highest
ranked = sorted(((dev, num_closed(dev)) for dev in developers),
key=lambda pair: pair[1])
# FIXME: this needs some work.
# This currently makes 3 * previous_periods (i.e. 36) separate Mongo queries
# Number of bugs opened/closed in each period
opened_closed_bugs = [{'period': period,
'opened': len(Issue.objects.opened_in(period.start, period.end)),
'closed': len(Issue.objects.closed_in(period.start, period.end))}
for period in reporting_periods]
# Point-in-time open bug count
open_bugs = [{'period': period,
'count': len(Issue.objects.open_at(period.end))}
for period in reporting_periods]
# Close rate
current_close_rate = opened_closed_bugs[-1]['closed'] - opened_closed_bugs[-1]['opened']
previous_close_rate = opened_closed_bugs[-2]['closed'] - opened_closed_bugs[-2]['opened']
close_rate_delta = abs(int(float(current_close_rate) / float(previous_close_rate) * 100)) \
if previous_close_rate else float('inf')
return render_template('dashboard.jinja2',
# Context vars
today=today,
period_label=reporting_unit,
ranked=ranked,
opened_closed_bugs=opened_closed_bugs,
open_bugs=open_bugs,
open_bug_count=open_bugs[-1]['count'],
prev_open_bug_count=open_bugs[-2]['count'])