class MuseClient(object):
def __init__(self, ip, port):
self.ip = ip
self.port = port
self.client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
self.client.bind((ip, port))
# cassandra
self.muse_cassandra_repo = CassandraRepository(KEYSPACE,
MUSE_COLUMN_FAMILY)
self.batches = {}
self.paths = [
'/muse/eeg', '/muse/acc',
'/muse/elements/experimental/concentration',
'/muse/elements/experimental/mellow'
]
for path in self.paths:
self.batches[path] = {}
def listen(self):
while 1:
data, addr = self.client.recvfrom(1024)
value = json.loads(data)
path = value[0]
if path in self.paths:
row_key, column = convert_muse_data_to_cassandra_column(
path, value)
if len(self.batches[path]) < BATCH_MAX_SIZE:
self.batches[path][row_key] = column
# time stats
timestamp = row_key.split('_')[1]
#print "column added to batch for %s -- %s ms" % (path, timestamp)
elif len(self.batches[path]) == BATCH_MAX_SIZE:
self.muse_cassandra_repo.add_batch(self.batches[path])
self.batches[path] = {}
# time stats
timestamp = row_key.split('_')[1]
print "column batch stored in cassandra for %s -- %s ms" % (
path, timestamp)
class MuseClient(object):
def __init__(self, ip, port):
self.ip = ip
self.port = port
self.client = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
self.client.bind((ip, port))
# cassandra
self.muse_cassandra_repo = CassandraRepository(KEYSPACE, MUSE_COLUMN_FAMILY)
self.batches = {}
self.paths = ['/muse/eeg',
'/muse/acc',
'/muse/elements/experimental/concentration',
'/muse/elements/experimental/mellow']
for path in self.paths:
self.batches[path] = {}
def listen(self):
while 1:
data, addr = self.client.recvfrom(1024)
value = json.loads(data)
path = value[0]
if path in self.paths:
row_key, column = convert_muse_data_to_cassandra_column(path, value)
if len(self.batches[path]) < BATCH_MAX_SIZE:
self.batches[path][row_key] = column
# time stats
timestamp = row_key.split('_')[1]
#print "column added to batch for %s -- %s ms" % (path, timestamp)
elif len(self.batches[path]) == BATCH_MAX_SIZE:
self.muse_cassandra_repo.add_batch(self.batches[path])
self.batches[path] = {}
# time stats
timestamp = row_key.split('_')[1]
print "column batch stored in cassandra for %s -- %s ms" % (path, timestamp)
class SpacebrewClient(object):
def __init__(self, name, server):
# get app name and server from query string
self.name = name
server = server
# configure the spacebrew client
self.brew = SpacebrewApp(name, server=server)
# cassandra
self.muse_cassandra_repo = CassandraRepository(KEYSPACE, MUSE_COLUMN_FAMILY)
self.batches = {}
self.osc_paths = [
{'address': "/muse/eeg", 'arguments': 4},
{'address': "/muse/eeg/quantization", 'arguments': 4},
{'address': "/muse/eeg/dropped_samples", 'arguments': 1},
{'address': "/muse/acc", 'arguments': 3},
{'address': "/muse/acc/dropped_samples", 'arguments': 1},
{'address': "/muse/batt", 'arguments': 4},
{'address': "/muse/drlref", 'arguments': 2},
{'address': "/muse/elements/low_freqs_absolute", 'arguments': 4},
{'address': "/muse/elements/delta_absolute", 'arguments': 4},
{'address': "/muse/elements/theta_absolute", 'arguments': 4},
{'address': "/muse/elements/alpha_absolute", 'arguments': 4},
{'address': "/muse/elements/beta_absolute", 'arguments': 4},
{'address': "/muse/elements/gamma_absolute", 'arguments': 4},
{'address': "/muse/elements/delta_relative", 'arguments': 4},
{'address': "/muse/elements/theta_relative", 'arguments': 4},
{'address': "/muse/elements/alpha_relative", 'arguments': 4},
{'address': "/muse/elements/beta_relative", 'arguments': 4},
{'address': "/muse/elements/gamma_relative", 'arguments': 4},
{'address': "/muse/elements/delta_session_score", 'arguments': 4},
{'address': "/muse/elements/theta_session_score", 'arguments': 4},
{'address': "/muse/elements/alpha_session_score", 'arguments': 4},
{'address': "/muse/elements/beta_session_score", 'arguments': 4},
{'address': "/muse/elements/gamma_session_score", 'arguments': 4},
{'address': "/muse/elements/touching_forehead", 'arguments': 1},
{'address': "/muse/elements/horseshoe", 'arguments': 4},
{'address': "/muse/elements/is_good", 'arguments': 4},
{'address': "/muse/elements/blink", 'arguments': 1},
{'address': "/muse/elements/jaw_clench", 'arguments': 1},
{'address': "/muse/elements/experimental/concentration", 'arguments': 1},
{'address': "/muse/elements/experimental/mellow", 'arguments': 1}
]
for path in self.osc_paths:
spacebrew_name = path['address'].split('/')[-1]
self.brew.add_subscriber(spacebrew_name, "string")
self.brew.subscribe(spacebrew_name, self.handle_value)
def handle_value(self, string_value):
value = json.loads(string_value)
path = value[0]
if path in self.paths:
row_key, column = convert_muse_data_to_cassandra_column(path, value)
if len(self.batches[path]) < BATCH_MAX_SIZE:
self.batches[path][row_key] = column
# time stats
timestamp = row_key.split('_')[1]
print "column added to batch for %s -- %s ms" % (path, timestamp)
elif len(self.batches[path]) == BATCH_MAX_SIZE:
self.muse_cassandra_repo.add_batch(self.batches[path])
self.batches[path] = {}
# time stats
timestamp = row_key.split('_')[1]
print "column batch stored in cassandra for %s -- %s ms" % (path, timestamp)
def start(self):
self.brew.start()
class SpacebrewClient(object):
def __init__(self, name, server):
# get app name and server from query string
self.name = name
server = server
# configure the spacebrew client
self.brew = SpacebrewApp(name, server=server)
# cassandra
self.muse_cassandra_repo = CassandraRepository(KEYSPACE,
MUSE_COLUMN_FAMILY)
self.batches = {}
self.osc_paths = [{
'address': "/muse/eeg",
'arguments': 4
}, {
'address': "/muse/eeg/quantization",
'arguments': 4
}, {
'address': "/muse/eeg/dropped_samples",
'arguments': 1
}, {
'address': "/muse/acc",
'arguments': 3
}, {
'address': "/muse/acc/dropped_samples",
'arguments': 1
}, {
'address': "/muse/batt",
'arguments': 4
}, {
'address': "/muse/drlref",
'arguments': 2
}, {
'address': "/muse/elements/low_freqs_absolute",
'arguments': 4
}, {
'address': "/muse/elements/delta_absolute",
'arguments': 4
}, {
'address': "/muse/elements/theta_absolute",
'arguments': 4
}, {
'address': "/muse/elements/alpha_absolute",
'arguments': 4
}, {
'address': "/muse/elements/beta_absolute",
'arguments': 4
}, {
'address': "/muse/elements/gamma_absolute",
'arguments': 4
}, {
'address': "/muse/elements/delta_relative",
'arguments': 4
}, {
'address': "/muse/elements/theta_relative",
'arguments': 4
}, {
'address': "/muse/elements/alpha_relative",
'arguments': 4
}, {
'address': "/muse/elements/beta_relative",
'arguments': 4
}, {
'address': "/muse/elements/gamma_relative",
'arguments': 4
}, {
'address': "/muse/elements/delta_session_score",
'arguments': 4
}, {
'address': "/muse/elements/theta_session_score",
'arguments': 4
}, {
'address': "/muse/elements/alpha_session_score",
'arguments': 4
}, {
'address': "/muse/elements/beta_session_score",
'arguments': 4
}, {
'address': "/muse/elements/gamma_session_score",
'arguments': 4
}, {
'address': "/muse/elements/touching_forehead",
'arguments': 1
}, {
'address': "/muse/elements/horseshoe",
'arguments': 4
}, {
'address': "/muse/elements/is_good",
'arguments': 4
}, {
'address': "/muse/elements/blink",
'arguments': 1
}, {
'address': "/muse/elements/jaw_clench",
'arguments': 1
}, {
'address': "/muse/elements/experimental/concentration",
'arguments': 1
}, {
'address': "/muse/elements/experimental/mellow",
'arguments': 1
}]
for path in self.osc_paths:
spacebrew_name = path['address'].split('/')[-1]
self.brew.add_subscriber(spacebrew_name, "string")
self.brew.subscribe(spacebrew_name, self.handle_value)
def handle_value(self, string_value):
value = json.loads(string_value)
path = value[0]
if path in self.paths:
row_key, column = convert_muse_data_to_cassandra_column(
path, value)
if len(self.batches[path]) < BATCH_MAX_SIZE:
self.batches[path][row_key] = column
# time stats
timestamp = row_key.split('_')[1]
print "column added to batch for %s -- %s ms" % (path,
timestamp)
elif len(self.batches[path]) == BATCH_MAX_SIZE:
self.muse_cassandra_repo.add_batch(self.batches[path])
self.batches[path] = {}
# time stats
timestamp = row_key.split('_')[1]
print "column batch stored in cassandra for %s -- %s ms" % (
path, timestamp)
def start(self):
self.brew.start()