def ondata(self, data, notification, timestamp, event_queue='', processed_queue=''):
resdata = []
tsdata = []
# Process the array of data
for ind in range(data.height.shape[0]):
ts = data.time[ind]
samp = data.height[ind]
if samp<0 or samp>100:
# Must convert pydap/numpy Int32 to int!
if event_queue:
self.queue_result(event_queue,\
{'event':(int(ts),'out_of_range',int(samp))},\
'out_of_range')
samp = 0
qcsamp = samp
# Must convert pydap/numpy Int32 to int!
resdata.append(int(qcsamp))
tsdata.append(int(ts))
dset = dap_tools.simple_dataset(\
{'DataSet Name':'Simple Data','variables':\
{'time':{'long_name':'Data and Time','units':'seconds'},\
'height':{'long_name':'person height','units':'meters'}}}, \
{'time':tsdata, 'height':resdata})
# Messages contains a new dap dataset to send to send
if processed_queue:
self.queue_result(processed_queue,dset,'Example processed data')
def setUp(self):
# create a dataset
self.ds1 = dap_tools.simple_dataset(\
{'DataSet Name':'SimpleData','variables':\
{'time':{'long_name':'Data and Time','units':'seconds'},\
'height':{'long_name':'person height','units':'meters'}}}, \
{'time':(111,112,123,114,115,116,117,118,119,120), \
'height':(8,6,4,-2,-1,5,3,1,4,5)})
def setUp(self):
# create a dataset
self.ds1 = dap_tools.simple_dataset(\
{'DataSet Name':'SimpleData','variables':\
{'time':{'long_name':'Data and Time','units':'seconds'},\
'height':{'long_name':'person height','units':'meters'}}}, \
{'time':(111,112,123,114,115,116,117,118,119,120), \
'height':(8,6,4,-2,-1,5,3,1,4,5)})
def setUp(self):
self.data1 = dap_tools.simple_dataset(\
{'DataSet Name':'Simple Data','variables':\
{'time':{'long_name':'Data and Time','units':'seconds'},\
'height':{'long_name':'person height','units':'meters'}}}, \
{'time':(111,112,123,114,115,116,117,118,119,120), \
'height':(8,6,4,-2,-1,5,3,1,4,5)})
self.data2 = dap_tools.simple_dataset(\
{'DataSet Name':'Simple Data','variables':\
{'time':{'long_name':'Data and Time','units':'seconds'},\
'height':{'long_name':'person height','units':'meters'}}}, \
{'time':(101,102,103,104,105,106,107,108,109,110), \
'height':(5,2,9001,5,-1,9,3,888,3,4)})
self.notification = 'Notify me that OOI is working'
self.timestamp = 3.14159
self.ec = example_consumer.ExampleConsumer()
yield self.ec.plc_init()
def setUp(self):
self.data1 = dap_tools.simple_dataset(\
{'DataSet Name':'Simple Data','variables':\
{'time':{'long_name':'Data and Time','units':'seconds'},\
'height':{'long_name':'person height','units':'meters'}}}, \
{'time':(111,112,123,114,115,116,117,118,119,120), \
'height':(8,6,4,-2,-1,5,3,1,4,5)})
self.data2 = dap_tools.simple_dataset(\
{'DataSet Name':'Simple Data','variables':\
{'time':{'long_name':'Data and Time','units':'seconds'},\
'height':{'long_name':'person height','units':'meters'}}}, \
{'time':(101,102,103,104,105,106,107,108,109,110), \
'height':(5,2,9001,5,-1,9,3,888,3,4)})
self.notification='Notify me that OOI is working'
self.timestamp=3.14159
self.ec = example_consumer.ExampleConsumer()
yield self.ec.plc_init()
def ondata(self,
data,
notification,
timestamp,
event_queue='',
processed_queue=''):
resdata = []
tsdata = []
# Process the array of data
for ind in range(data.height.shape[0]):
ts = data.time[ind]
samp = data.height[ind]
if samp < 0 or samp > 100:
# Must convert pydap/numpy Int32 to int!
if event_queue:
self.queue_result(event_queue,\
{'event':(int(ts),'out_of_range',int(samp))},\
'out_of_range')
samp = 0
qcsamp = samp
# Must convert pydap/numpy Int32 to int!
resdata.append(int(qcsamp))
tsdata.append(int(ts))
dset = dap_tools.simple_dataset(\
{'DataSet Name':'Simple Data','variables':\
{'time':{'long_name':'Data and Time','units':'seconds'},\
'height':{'long_name':'person height','units':'meters'}}}, \
{'time':tsdata, 'height':resdata})
# Messages contains a new dap dataset to send to send
if processed_queue:
self.queue_result(processed_queue, dset, 'Example processed data')
