def get(self, request, pk, metric):
if metric not in APP_STATS:
raise http.Http404('No metric by that name.')
if not waffle.switch_is_active('stats-api'):
raise NotImplemented('Stats not enabled for this host.')
app = self.get_object()
stat = APP_STATS[metric]
# Perform form validation.
form = StatsForm(request.GET)
if not form.is_valid():
raise ParseError(dict(form.errors.items()))
qs = form.cleaned_data
dimensions = {'app-id': app.id}
if 'dimensions' in stat:
for key, default in stat['dimensions'].items():
val = request.GET.get(key, default)
if val is not None:
# Avoid passing kwargs to the monolith client when the
# dimension is None to avoid facet filters being applied.
dimensions[key] = request.GET.get(key, default)
return Response(
_get_monolith_data(stat, qs.get('start'), qs.get('end'),
qs.get('interval'), dimensions))
def get(self, request, metric):
if metric not in STATS:
raise http.Http404('No metric by that name.')
if not waffle.switch_is_active('stats-api'):
raise NotImplemented('Stats not enabled for this host.')
# Perform form validation.
form = GlobalStatsForm(request.GET)
if not form.is_valid():
raise ParseError(dict(form.errors.items()))
data = form.cleaned_data
client = get_monolith_client()
try:
metric_data = list(client(STATS[metric]['metric'],
data.get('start'), data.get('end'),
data.get('interval')))
except ValueError:
# This occurs if monolith doesn't have our metric and we get an
# elasticsearch SearchPhaseExecutionException error.
log.info('Monolith ValueError for metric {0}'.format(
STATS[metric]['metric']))
raise ParseError('Invalid metric at this time. Try again later.')
return Response({'objects': metric_data})
def get(self, request, metric):
if metric not in STATS:
raise http.Http404('No metric by that name.')
if not waffle.switch_is_active('stats-api'):
raise NotImplemented('Stats not enabled for this host.')
stat = STATS[metric]
# Perform form validation.
form = GlobalStatsForm(request.GET)
if not form.is_valid():
raise ParseError(dict(form.errors.items()))
qs = form.cleaned_data
client = get_monolith_client()
dimensions = {}
if 'dimensions' in stat:
for key, default in stat['dimensions'].items():
val = request.GET.get(key, default)
if val is not None:
# Avoid passing kwargs to the monolith client when the
# dimension is None to avoid facet filters being applied.
dimensions[key] = request.GET.get(key, default)
# If stat has a 'lines' attribute, it's a multi-line graph. Do a
# request for each item in 'lines' and compose them in a single
# response.
try:
data = {}
if 'lines' in stat:
for line_name, line_dimension in stat['lines'].items():
dimensions.update(line_dimension)
data[line_name] = list(
client(stat['metric'], qs.get('start'), qs.get('end'),
qs.get('interval'), **dimensions))
else:
data['objects'] = list(
client(stat['metric'], qs.get('start'), qs.get('end'),
qs.get('interval'), **dimensions))
except ValueError as e:
# This occurs if monolith doesn't have our metric and we get an
# elasticsearch SearchPhaseExecutionException error.
log.info('Monolith ValueError for metric {0}: {1}'.format(
stat['metric'], e))
raise ParseError('Invalid metric at this time. Try again later.')
return Response(data)