def _on_stats_callback(self, data):
results = {}
datapoints = {}
for result in data.get('results', []):
for series in result.get('series', []):
# Get machine_id in order to groub results by it.
cpu = series.get('tags', {}).get('cpu')
if not cpu:
log.error('%s: no cpu', self.__class__.__name__)
continue
machine_id = series.get('tags', {}).get('machine_id')
if not machine_id:
log.error('%s: no machine_id', self.__class__.__name__)
continue
# Get datapoints.
if not datapoints.get(machine_id):
datapoints[machine_id] = {}
for value in series.get('values', []):
if value[1]:
timestamp = iso_to_seconds(value[0])
if not datapoints[machine_id].get(timestamp):
datapoints[machine_id][timestamp] = set()
datapoints[machine_id][timestamp].add(cpu)
for machine_id, points in datapoints.items():
if not results.get(machine_id):
results[machine_id] = {'datapoints': []}
for timestamp, cpus in points.items():
results[machine_id]['datapoints'].append(((len(cpus),
int(timestamp))))
return results
def _on_stats_callback(self, data):
"""Process series returned by InfluxDB."""
results = {}
for result in data.get('results', []):
if result.get('error'):
raise BadRequestError(result['error'])
for series in result.get('series', []):
# Get series name and columns.
measurement = series.get('name', self.measurement)
columns = series.get('columns', [])
# Get tags, if exist.
tags = '.'.join([
'%s=%s' % (key, val)
for key, val in series.get('tags', {}).items()
])
for value in series.get('values', []):
timestamp = iso_to_seconds(value[0])
for index, point in enumerate(value):
if index == 0: # Skip the "time" column.
continue
if isinstance(point, string_types): # Skip tags.
continue
name = measurement.upper()
column = columns[index]
if tags:
id = '%s.%s.%s' % (measurement, tags, column)
name += ' %s' % ' '.join(
list(series['tags'].values()))
else:
id = '%s.%s' % (measurement, column)
name += ' %s' % column.replace('_', ' ')
if id not in results:
results[id] = {
'name': name,
'column': column,
'measurement': measurement,
'datapoints': [],
'max_value': None,
'min_value': None,
'priority': 0,
'unit': '',
}
results[id]['datapoints'].append(((point, timestamp)))
return results
def _on_stats_callback(self, data):
results = {}
for result in data.get('results', []):
for series in result.get('series', []):
# Get series name and columns.
measurement = series.get('name', self.measurement)
columns = series.get('columns', [])
# Get machine_id in order to groub results by it.
machine_id = series.get('tags', {}).get('machine_id')
if not machine_id:
log.error('%s: no machine_id', self.__class__.__name__)
continue
# Get datapoints.
for value in series.get('values', []):
timestamp = iso_to_seconds(value[0])
for index, point in enumerate(value):
if index == 0:
continue
column = columns[index]
name = measurement.upper()
name += ' %s' % column.replace('_', ' ')
if machine_id not in results:
results[machine_id] = {
'id': '%s.%s' % (measurement, column),
'name': machine_id,
'column': column,
'measurement': measurement,
'datapoints': [],
'max_value': None,
'min_value': None,
'priority': 0,
'unit': '',
}
results[machine_id]['datapoints'].append((
(point,
int(timestamp))))
return results