def test_dat_file_processing(self):
first = shared.Sourcefile._make(
[os.path.dirname(self.rawleft), 'P100_E4_left.dat', '01', '01', shared.Orientation(1)])
second = shared.Sourcefile._make(
[os.path.dirname(self.rawright), 'P100_E4_right.dat', '01', '01', shared.Orientation(2)])
conv = RawConverter(
[(first, second)], [self.foo, self.bar])
conv.processDatFiles()
def test_sensor_setup(self):
conv = RawConverter([], [self.foo, self.bar])
conv.processDatFiles()
self.assertIsInstance(conv.initSensors[
shared.Orientation(1).name], Sensor)
self.assertIsInstance(conv.initSensors[
shared.Orientation(2).name], Sensor)
self.assertEquals(conv.initSensors[
shared.Orientation(1).name].orientation, shared.Orientation(1))
self.assertEquals(conv.initSensors[
shared.Orientation(2).name].orientation, shared.Orientation(2))
# Raw Data Conversion and Normalization
sensLeft = UninitializedSensor._make([
Orientation.left
, cli.args.left_calibration
])
sensRight = UninitializedSensor._make([
Orientation.right
, cli.args.right_calibration
])
for pair in importer.pairedFiles:
# skip all non .dat files
# TODO: this is ugly.
# cleanup
if '.dat' != os.path.splitext(pair[0].filename)[1]: continue
raw = RawConverter([pair], [sensLeft, sensRight])
raw.processDatFiles()
leftRawValidationSegments = raw.initSensors[Orientation.left.name]\
.normalizedSensorSegments
rightRawValidationSegments = raw.initSensors[Orientation.right.name]\
.normalizedSensorSegments
currentSession = raw.sessionIdentifier
currentExercise = raw.exerciseIdentifier
# Raw Data Export
rawValidation = CSVExporter()
location = rawValidation.prepareOutputDir(
outputDir
, currentSession
, currentExercise)
