def store(data: OrderedDict, input_streams: dict, output_streams: dict, metadata, CC_obj: CerebralCortex, config: dict):
"""
Store diagnostic results with its metadata in the data-store
:param input_streams:
:param data:
:param CC_obj:
:param config:
:param algo_type:
"""
if data:
# basic output stream info
owner = input_streams[0]["owner_id"]
dd_stream_id = output_streams["id"]
dd_stream_name = output_streams["name"]
stream_type = "ds"
data_descriptor = metadata["dd"]
execution_context = metadata["ec"]
annotations = metadata["anno"]
ds = DataStream(identifier=dd_stream_id, owner=owner, name=dd_stream_name, data_descriptor=data_descriptor,
execution_context=execution_context, annotations=annotations,
stream_type=stream_type, data=data)
CC_obj.save_datastream(ds, "datastream")
def store(data: OrderedDict, input_streams: dict, output_streams: dict,
CC_obj: CerebralCortex):
"""
Store diagnostic results with its metadata in the data-store
:param input_streams:
:param data:
:param CC_obj:
:param config:
:param algo_type:
"""
if data:
#basic output stream info
owner = input_streams[0]["owner_id"]
dd_stream_id = output_streams["id"]
dd_stream_name = output_streams["name"]
stream_type = "ds"
data_descriptor = [{
"NAME":
"Data Quality (LED)",
"DATA_TYPE":
"int",
"FREQUENCY":
"0.33",
"MAX_VALUE":
"4",
"MIN_VALUE":
"0",
"DESCRIPTION":
"measures the Data Quality of LED. Values= GOOD(0), BAND_OFF(1), NOT_WORN(2), BAND_LOOSE(3), NOISE(4)"
}]
execution_context = {
"platform_metadata": {
"NAME": "MotionSense HRV",
"DEVICE_ID": ""
},
"processing_module": {
"name":
"",
"environment":
"cerebralcortex",
"algorithm": [{
"method": "",
"authors": ["Nasir Ali", " Md Azim Ullah"],
"version": "0.0.1",
"reference": {
"url": "http://md2k.org/"
},
"description": ""
}],
"description":
"",
"input_streams":
input_streams,
"output_streams":
output_streams,
"input_parameters": {}
},
"datasource_metadata": {
"NAME":
"Data Quality (LED)",
"DATA_TYPE":
"org.md2k.datakitapi.datatype.DataTypeInt",
"FREQUENCY":
"0.33",
"DESCRIPTION":
"measures the Data Quality of LED. Values= GOOD(0), BAND_OFF(1), NOT_WORN(2), BAND_LOOSE(3), NOISE(4)"
},
"application_metadata": {
"NAME": "MotionSense",
"DESCRIPTION":
"Collects data from the motion sense. Sensors supported: [Accelerometer, Gyroscope, Battery, LED, DataQuality]",
"VERSION_NAME": "0.0.1",
"VERSION_NUMBER": "2000500"
}
}
annotations = []
ds = DataStream(identifier=dd_stream_id,
owner=owner,
name=dd_stream_name,
data_descriptor=data_descriptor,
execution_context=execution_context,
annotations=annotations,
stream_type=stream_type,
data=data)
CC_obj.save_datastream(ds, "datastream")