def do_metric_list(mc, args):
'''List metrics for this tenant.'''
fields = {}
if args.name:
fields['name'] = args.name
if args.dimensions:
fields['dimensions'] = utils.format_parameters(args.dimensions)
if args.limit:
fields['limit'] = args.limit
if args.offset:
fields['offset'] = args.offset
try:
metric = mc.metrics.list(**fields)
except exc.HTTPException as he:
raise exc.CommandError('HTTPException code=%s message=%s' %
(he.code, he.message))
else:
if args.json:
print(utils.json_formatter(metric))
return
cols = ['name', 'dimensions']
formatters = {
'name': lambda x: x['name'],
'dimensions': lambda x: utils.format_dict(x['dimensions']),
}
if isinstance(metric, list):
# print the list
utils.print_list(metric, cols, formatters=formatters)
else:
# add the dictionary to a list, so print_list works
metric_list = list()
metric_list.append(metric)
utils.print_list(metric_list, cols, formatters=formatters)
def do_measurement_list(mc, args):
'''List measurements for the specified metric.'''
fields = {}
fields['name'] = args.name
if args.dimensions:
fields['dimensions'] = utils.format_parameters(args.dimensions)
if args.starttime[0] == '-':
deltaT = time.time() + (int(args.starttime) * 60)
utc = str(datetime.datetime.utcfromtimestamp(deltaT))
utc = utc.replace(" ", "T")[:-7] + 'Z'
args.starttime = utc
fields['start_time'] = args.starttime
if args.endtime:
fields['end_time'] = args.endtime
if args.limit:
fields['limit'] = args.limit
if args.offset:
fields['offset'] = args.offset
if args.merge_metrics:
fields['merge_metrics'] = args.merge_metrics
try:
metric = mc.metrics.list_measurements(**fields)
except exc.HTTPException as he:
raise exc.CommandError(
'HTTPException code=%s message=%s' %
(he.code, he.message))
else:
if args.json:
print(utils.json_formatter(metric))
return
cols = ['name', 'dimensions', 'timestamp', 'value', 'value_meta']
formatters = {
'name': lambda x: x['name'],
'dimensions': lambda x: utils.format_dict(x['dimensions']),
'timestamp': lambda x: format_measure_timestamp(x['measurements']),
'value': lambda x: format_measure_value(x['measurements']),
'value_meta': lambda x: format_value_meta(x['measurements']),
}
if isinstance(metric, list):
# print the list
utils.print_list(metric, cols, formatters=formatters)
else:
# add the dictionary to a list, so print_list works
metric_list = list()
metric_list.append(metric)
utils.print_list(
metric_list,
cols,
formatters=formatters)
def do_measurement_list(mc, args):
'''List measurements for the specified metric.'''
fields = {}
fields['name'] = args.name
if args.dimensions:
fields['dimensions'] = utils.format_dimensions_query(args.dimensions)
_translate_starttime(args)
fields['start_time'] = args.starttime
if args.endtime:
fields['end_time'] = args.endtime
if args.limit:
fields['limit'] = args.limit
if args.offset:
fields['offset'] = args.offset
if args.merge_metrics:
fields['merge_metrics'] = args.merge_metrics
try:
metric = mc.metrics.list_measurements(**fields)
except exc.HTTPException as he:
raise exc.CommandError(
'HTTPException code=%s message=%s' %
(he.code, he.message))
else:
if args.json:
print(utils.json_formatter(metric))
return
cols = ['name', 'dimensions', 'timestamp', 'value', 'value_meta']
formatters = {
'name': lambda x: x['name'],
'dimensions': lambda x: utils.format_dict(x['dimensions']),
'timestamp': lambda x: format_measure_timestamp(x['measurements']),
'value': lambda x: format_measure_value(x['measurements']),
'value_meta': lambda x: format_value_meta(x['measurements']),
}
if isinstance(metric, list):
# print the list
utils.print_list(metric, cols, formatters=formatters)
else:
# add the dictionary to a list, so print_list works
metric_list = list()
metric_list.append(metric)
utils.print_list(
metric_list,
cols,
formatters=formatters)
def do_measurement_list(mc, args):
'''List measurements for the specified metric.'''
fields = {}
fields['name'] = args.name
if args.dimensions:
fields['dimensions'] = utils.format_parameters(args.dimensions)
if args.starttime[0] == '-':
deltaT = time.time() + (int(args.starttime) * 60)
utc = str(datetime.datetime.utcfromtimestamp(deltaT))
utc = utc.replace(" ", "T")[:-7] + 'Z'
args.starttime = utc
fields['start_time'] = args.starttime
if args.endtime:
fields['end_time'] = args.endtime
if args.limit:
fields['limit'] = args.limit
if args.offset:
fields['offset'] = args.offset
if args.merge_metrics:
fields['merge_metrics'] = args.merge_metrics
try:
metric = mc.metrics.list_measurements(**fields)
except exc.HTTPException as he:
raise exc.CommandError('HTTPException code=%s message=%s' %
(he.code, he.message))
else:
if args.json:
print(utils.json_formatter(metric))
return
cols = ['name', 'dimensions', 'timestamp', 'value', 'value_meta']
formatters = {
'name': lambda x: x['name'],
'dimensions': lambda x: utils.format_dict(x['dimensions']),
'timestamp': lambda x: format_measure_timestamp(x['measurements']),
'value': lambda x: format_measure_value(x['measurements']),
'value_meta': lambda x: format_value_meta(x['measurements']),
}
if isinstance(metric, list):
# print the list
utils.print_list(metric, cols, formatters=formatters)
else:
# add the dictionary to a list, so print_list works
metric_list = list()
metric_list.append(metric)
utils.print_list(metric_list, cols, formatters=formatters)
def do_metric_list(mc, args):
'''List metrics for this tenant.'''
fields = {}
if args.name:
fields['name'] = args.name
if args.dimensions:
fields['dimensions'] = utils.format_parameters(args.dimensions)
if args.limit:
fields['limit'] = args.limit
if args.offset:
fields['offset'] = args.offset
try:
metric = mc.metrics.list(**fields)
except exc.HTTPException as he:
raise exc.CommandError(
'HTTPException code=%s message=%s' %
(he.code, he.message))
else:
if args.json:
print(utils.json_formatter(metric))
return
cols = ['name', 'dimensions']
formatters = {
'name': lambda x: x['name'],
'dimensions': lambda x: utils.format_dict(x['dimensions']),
}
if isinstance(metric, list):
# print the list
utils.print_list(metric, cols, formatters=formatters)
else:
# add the dictionary to a list, so print_list works
metric_list = list()
metric_list.append(metric)
utils.print_list(
metric_list,
cols,
formatters=formatters)
def do_metric_statistics(mc, args):
'''List measurement statistics for the specified metric.'''
statistic_types = ['AVG', 'MIN', 'MAX', 'COUNT', 'SUM']
statlist = args.statistics.split(',')
for stat in statlist:
if stat.upper() not in statistic_types:
errmsg = 'Invalid type, not one of [' + \
', '.join(statistic_types) + ']'
print(errmsg)
return
fields = {}
fields['name'] = args.name
if args.dimensions:
fields['dimensions'] = utils.format_dimensions_query(args.dimensions)
_translate_starttime(args)
fields['start_time'] = args.starttime
if args.endtime:
fields['end_time'] = args.endtime
if args.period:
fields['period'] = args.period
fields['statistics'] = args.statistics
if args.limit:
fields['limit'] = args.limit
if args.offset:
fields['offset'] = args.offset
if args.merge_metrics:
fields['merge_metrics'] = args.merge_metrics
try:
metric = mc.metrics.list_statistics(**fields)
except exc.HTTPException as he:
raise exc.CommandError(
'HTTPException code=%s message=%s' %
(he.code, he.message))
else:
if args.json:
print(utils.json_formatter(metric))
return
cols = ['name', 'dimensions']
# add dynamic column names
if metric:
column_names = metric[0]['columns']
for name in column_names:
cols.append(name)
else:
# when empty set, print_list needs a col
cols.append('timestamp')
formatters = {
'name': lambda x: x['name'],
'dimensions': lambda x: utils.format_dict(x['dimensions']),
'timestamp': lambda x:
format_statistic_timestamp(x['statistics'], x['columns'],
'timestamp'),
'avg': lambda x:
format_statistic_value(x['statistics'], x['columns'], 'avg'),
'min': lambda x:
format_statistic_value(x['statistics'], x['columns'], 'min'),
'max': lambda x:
format_statistic_value(x['statistics'], x['columns'], 'max'),
'count': lambda x:
format_statistic_value(x['statistics'], x['columns'], 'count'),
'sum': lambda x:
format_statistic_value(x['statistics'], x['columns'], 'sum'),
}
if isinstance(metric, list):
# print the list
utils.print_list(metric, cols, formatters=formatters)
else:
# add the dictionary to a list, so print_list works
metric_list = list()
metric_list.append(metric)
utils.print_list(
metric_list,
cols,
formatters=formatters)
def do_metric_statistics(mc, args):
'''List measurement statistics for the specified metric.'''
statistic_types = ['AVG', 'MIN', 'MAX', 'COUNT', 'SUM']
statlist = args.statistics.split(',')
for stat in statlist:
if stat.upper() not in statistic_types:
errmsg = 'Invalid type, not one of [' + \
', '.join(statistic_types) + ']'
print(errmsg)
return
fields = {}
fields['name'] = args.name
if args.dimensions:
fields['dimensions'] = utils.format_parameters(args.dimensions)
if args.starttime[0] == '-':
deltaT = time.time() + (int(args.starttime) * 60)
utc = str(datetime.datetime.utcfromtimestamp(deltaT))
utc = utc.replace(" ", "T")[:-7] + 'Z'
args.starttime = utc
fields['start_time'] = args.starttime
if args.endtime:
fields['end_time'] = args.endtime
if args.period:
fields['period'] = args.period
fields['statistics'] = args.statistics
if args.limit:
fields['limit'] = args.limit
if args.offset:
fields['offset'] = args.offset
if args.merge_metrics:
fields['merge_metrics'] = args.merge_metrics
try:
metric = mc.metrics.list_statistics(**fields)
except exc.HTTPException as he:
raise exc.CommandError('HTTPException code=%s message=%s' %
(he.code, he.message))
else:
if args.json:
print(utils.json_formatter(metric))
return
cols = ['name', 'dimensions']
# add dynamic column names
if metric:
column_names = metric[0]['columns']
for name in column_names:
cols.append(name)
else:
# when empty set, print_list needs a col
cols.append('timestamp')
formatters = {
'name':
lambda x: x['name'],
'dimensions':
lambda x: utils.format_dict(x['dimensions']),
'timestamp':
lambda x: format_statistic_timestamp(x['statistics'], x['columns'],
'timestamp'),
'avg':
lambda x: format_statistic_value(x['statistics'], x['columns'],
'avg'),
'min':
lambda x: format_statistic_value(x['statistics'], x['columns'],
'min'),
'max':
lambda x: format_statistic_value(x['statistics'], x['columns'],
'max'),
'count':
lambda x: format_statistic_value(x['statistics'], x['columns'],
'count'),
'sum':
lambda x: format_statistic_value(x['statistics'], x['columns'],
'sum'),
}
if isinstance(metric, list):
# print the list
utils.print_list(metric, cols, formatters=formatters)
else:
# add the dictionary to a list, so print_list works
metric_list = list()
metric_list.append(metric)
utils.print_list(metric_list, cols, formatters=formatters)