def get_context_data(self, **kwargs):
context = super(StatisticsDetailView, self).get_context_data(**kwargs)
app = self.object
form = self.get_form()
form.is_valid()
now = timezone.now()
last_week = now - datetime.timedelta(days=7)
start, end = get_month_range_from_dict(form.cleaned_data)
diapasons = [((start.month if year == start.year else 1, end.month if year == end.year else 12), year)
for year in range(start.year, end.year+1)]
data = []
for diapason in diapasons:
data += get_users_statistics_months(app_id=app.id, year=diapason[1], start=diapason[0][0], end=diapason[0][1])
qs = AppRequest.objects.filter(appid=app.id,
request__created__range=[last_week, now])
context['range_start'] = start.strftime('%B %Y')
context['range_end'] = end.strftime('%B %Y')
context['install_count'] = qs.filter(events__eventtype=2).count()
context['update_count'] = qs.filter(events__eventtype=3).count()
context['months'] = make_discrete_bar_chart('months', data)
context['weeks'] = make_discrete_bar_chart('weeks', get_users_statistics_weeks(app_id=app.id))
context['versions'] = make_piechart('versions', get_users_versions(app.id))
context['channels'] = make_piechart('channels', get_channel_statistics(app.id))
versions_data = [dict(version=x[0], number=x[1]) for x in get_users_versions(app.id)]
context['versions_table'] = VersionsTable(versions_data)
context['form'] = form
return context
def get_context_data(self, **kwargs):
context = super(StatisticsDetailView, self).get_context_data(**kwargs)
app = self.object
now = timezone.now()
last_week = now - datetime.timedelta(days=7)
qs = AppRequest.objects.filter(appid=app.id,
request__created__range=[last_week, now])
context['install_count'] = qs.filter(events__eventtype=2).count()
context['update_count'] = qs.filter(events__eventtype=3).count()
context['months'] = make_discrete_bar_chart('months', get_users_statistics_months(app_id=app.id))
context['weeks'] = make_discrete_bar_chart('weeks', get_users_statistics_weeks(app_id=app.id))
context['versions'] = make_piechart('versions', get_users_versions(app.id))
context['channels'] = make_piechart('channels', get_channel_statistics(app.id))
return context
def test_make_piechart(self):
data = [('apple', 10), ('orange', 3)]
self.assertDictEqual(make_piechart('test', data),
{'chartcontainer': 'chart_container_test',
'chartdata': {
'extra1': {'tooltip': {'y_end': ' users', 'y_start': ''}},
'x': ['apple', 'orange'],
'y1': [10, 3]},
'charttype': 'pieChart',
'extra': {'jquery_on_ready': False,
'tag_script_js': True,
'x_axis_format': '',
'x_is_date': False}})
def get_context_data(self, **kwargs):
context = super(StatisticsDetailView, self).get_context_data(**kwargs)
app = self.object
now = timezone.now()
last_week = now - datetime.timedelta(days=7)
qs = AppRequest.objects.filter(
appid=app.id, request__created__range=[last_week, now])
context['install_count'] = qs.filter(events__eventtype=2).count()
context['update_count'] = qs.filter(events__eventtype=3).count()
context['months'] = make_discrete_bar_chart(
'months', get_users_statistics_months(app_id=app.id))
context['weeks'] = make_discrete_bar_chart(
'weeks', get_users_statistics_weeks(app_id=app.id))
context['versions'] = make_piechart('versions',
get_users_versions(app.id))
context['channels'] = make_piechart('channels',
get_channel_statistics(app.id))
return context
def get_context_data(self, **kwargs):
context = super(MonitoringFormView, self).get_context_data(**kwargs)
omaha_version_size = float(cache.get('omaha_version_size')
or 0) / 1073741824
sparkle_version_size = float(cache.get('sparkle_version_size')
or 0) / 1073741824
feedbacks_size = float(cache.get('feedbacks_size') or 0) / 1073741824
crashes_size = float(cache.get('crashes_size') or 0) / 1073741824
symbols_size = float(cache.get('symbols_size') or 0) / 1073741824
data = dict(
omaha_version=dict(label='Omaha Versions',
size=omaha_version_size,
limit=gpm['Version__limit_size'],
percent=omaha_version_size /
gpm['Version__limit_size'] * 100),
sparkle_version=dict(label='Sparkle Versions',
size=sparkle_version_size,
limit=gpm['SparkleVersion__limit_size'],
percent=sparkle_version_size /
gpm['SparkleVersion__limit_size'] * 100),
feedbacks=dict(label='Feedbacks',
size=feedbacks_size,
limit=gpm['Feedback__limit_size'],
percent=feedbacks_size /
gpm['Feedback__limit_size'] * 100),
crashes=dict(label='Crashes',
size=crashes_size,
limit=gpm['Crash__limit_size'],
percent=crashes_size / gpm['Crash__limit_size'] *
100),
symbols=dict(label='Symbols',
size=symbols_size,
limit=gpm['Symbols__limit_size'],
percent=symbols_size / gpm['Symbols__limit_size'] *
100),
)
full_size = reduce(lambda res, x: res + x['size'], list(data.values()),
0)
context.update(data)
piechart = None
if full_size:
pie_data = [(x['label'], x['size'] / full_size * 100)
for x in list(data.values())]
piechart = make_piechart('used_space', pie_data, unit="%")
context.update({'used_space': piechart})
return context
def test_make_piechart(self):
data = [('apple', 10), ('orange', 3)]
self.assertDictEqual(
make_piechart('test', data), {
'chartcontainer': 'chart_container_test',
'chartdata': {
'extra1': {
'tooltip': {
'y_end': ' users',
'y_start': ''
}
},
'x': ['apple', 'orange'],
'y1': [10, 3]
},
'charttype': 'pieChart',
'extra': {
'jquery_on_ready': False,
'tag_script_js': True,
'x_axis_format': '',
'x_is_date': False
}
})
def get_context_data(self, **kwargs):
context = super(MonitoringFormView, self).get_context_data(**kwargs)
omaha_version_size = float(cache.get('omaha_version_size') or 0)/1073741824
sparkle_version_size = float(cache.get('sparkle_version_size') or 0)/1073741824
feedbacks_size = float(cache.get('feedbacks_size') or 0)/1073741824
crashes_size = float(cache.get('crashes_size') or 0)/1073741824
symbols_size = float(cache.get('symbols_size') or 0)/1073741824
data = dict(
omaha_version=dict(label='Omaha Versions', size=omaha_version_size, limit=gpm['Version__limit_size'], percent=omaha_version_size/gpm['Version__limit_size']*100),
sparkle_version=dict(label='Sparkle Versions', size=sparkle_version_size, limit=gpm['SparkleVersion__limit_size'], percent=sparkle_version_size/gpm['SparkleVersion__limit_size']*100),
feedbacks=dict(label='Feedbacks', size=feedbacks_size, limit=gpm['Feedback__limit_size'], percent=feedbacks_size/gpm['Feedback__limit_size']*100),
crashes=dict(label='Crashes', size=crashes_size, limit=gpm['Crash__limit_size'], percent=crashes_size/gpm['Crash__limit_size']*100),
symbols=dict(label='Symbols', size=symbols_size, limit=gpm['Symbols__limit_size'], percent=symbols_size/gpm['Symbols__limit_size']*100),
)
full_size = reduce(lambda res, x: res + x['size'], data.values(), 0)
context.update(data)
piechart = None
if full_size:
pie_data = [(x['label'], x['size']/full_size * 100) for x in data.values()]
piechart = make_piechart('used_space', pie_data, unit="%")
context.update({'used_space': piechart})
return context
