def get_tag_aggregate(user_id, tag_id):
"""Retrieve all aggregates for a specific tag and user"""
device_type = request.args.get('device_type', None)
metrics = request.args.getlist('metrics', None)
if device_type is None and len(metrics) == 0:
device_types = get_supported_devices()
for device_type in device_types:
metrics.extend(get_metrics_names(device_type))
elif len(metrics) == 0 and device_type is not None:
metrics = get_metrics_names(device_type)
elif len(metrics) > 0 and device_type is None:
return "parameter 'device_type' is required to filter on `metrics`", 500
#aggregates = _generate_mock_tag_aggregates(user_id, tag_id, device_type, metrics)
aggregates = dao.get_aggregates(user_id, tag_id, device_type, metrics)
return json.dumps(aggregates), 200
def get_tag_aggregate(user_id, tag_id):
"""Retrieve all aggregates for a specific tag and user"""
device_type = request.args.get('device_type', None)
metrics = request.args.getlist('metrics', None)
if device_type is None and len(metrics) == 0:
device_types = get_supported_devices()
for device_type in device_types:
metrics.extend(get_metrics_names(device_type))
elif len(metrics) == 0 and device_type is not None:
metrics = get_metrics_names(device_type)
elif len(metrics) > 0 and device_type is None:
return "parameter 'device_type' is required to filter on `metrics`", 500
if mock_data_enabled:
aggregates = _generate_mock_tag_aggregates(user_id, tag_id, device_type, metrics)
else:
aggregates = dao.get_aggregates(user_id, tag_id, device_type, metrics)
return json.dumps(aggregates), 200
import argparse
from cloudbrain.publishers.PikaPublisher import PikaPublisher
from cloudbrain.publishers.PipePublisher import PipePublisher
from cloudbrain.utils.metadata_info import get_metrics_names, get_supported_devices
from cloudbrain.settings import RABBITMQ_ADDRESS, MOCK_DEVICE_ID
_SUPPORTED_DEVICES = get_supported_devices()
def validate_opts(opts):
"""
validate that we've got the right options
@param opts: (list) options to validate
@retun opts_valid: (bool) 1 if opts are valid. 0 otherwise.
"""
opts_valid = True
if (opts.device_name == "openbci") and (opts.device_port is None):
opts_valid = False
return opts_valid
def get_args_parser():
parser = argparse.ArgumentParser()
parser.add_argument('-i', '--device_id', required=True,
help="A unique ID to identify the device you are sending data from. "
"For example: 'octopicorn2015'")
import argparse
from cloudbrain.publishers.PikaPublisher import PikaPublisher
from cloudbrain.publishers.PipePublisher import PipePublisher
from cloudbrain.utils.metadata_info import get_metrics_names, get_supported_devices
from cloudbrain.settings import RABBITMQ_ADDRESS, MOCK_DEVICE_ID
_SUPPORTED_DEVICES = get_supported_devices()
def validate_opts(opts):
"""
validate that we've got the right options
@param opts: (list) options to validate
@retun opts_valid: (bool) 1 if opts are valid. 0 otherwise.
"""
opts_valid = True
if (opts.device_name == "openbci") and (opts.device_port is None):
opts_valid = False
return opts_valid
def get_args_parser():
parser = argparse.ArgumentParser()
parser.add_argument(
'-i',
'--device_id',
required=True,
help="A unique ID to identify the device you are sending data from. "
def get_device_names():
""" Returns the device names from the metadata file """
return json.dumps(get_supported_devices())
def get_device_names():
""" Returns the device names from the metadata file """
return json.dumps(get_supported_devices())
