def test_sanity(self):
"""Sanity check that the numbers coming out make sense."""
check = SANITY_CHECK.copy()
expected_results = SANITY_RESULTS.copy()
tw = TrueWindsTransform(course_field='CourseTrue',
speed_field='Speed',
heading_field='HeadingTrue',
wind_dir_field='RelWindDir',
wind_speed_field='RelWindSpeed',
true_dir_name='PortTrueWindDir',
true_speed_name='PortTrueWindSpeed',
apparent_dir_name='PortApparentWindDir')
while check:
fields = check.pop(0)
record = DASRecord(data_id='truw', fields=fields)
result = tw.transform(record)
if type(result) is list:
if len(result):
result = result[0]
else:
result is None
expected = expected_results.pop(0)
logging.info('sanity result: %s', result)
logging.info('sanity expected: %s', expected)
self.assertRecursiveAlmostEqual(result.fields, expected)
return
def test_default(self):
lines = LINES.copy()
expected_results = RESULTS.copy()
# Use port wind speed, output in m/s
tw = TrueWindsTransform(data_id='truw',
course_fields='S330CourseTrue',
speed_fields='S330Speed',
heading_fields='S330HeadingTrue',
wind_dir_fields='MwxPortRelWindDir',
wind_speed_fields='MwxPortRelWindSpeed',
convert_speed_factor=0.5144)
parse = ParseNMEATransform()
while lines:
record = parse.transform(lines.pop(0))
result = tw.transform(record)
expected = expected_results.pop(0)
if expected:
self.assertEqual(result.data_id, 'truw')
self.assertEqual(result.message_type, None)
self.assertEqual(result.timestamp, expected['timestamp'])
self.assertAlmostEqual(result.fields['ApparentWindDir'],
expected['fields']['ApparentWindDir'],
delta=0.00001)
self.assertAlmostEqual(result.fields['TrueWindDir'],
expected['fields']['TrueWindDir'],
delta=0.00001)
self.assertAlmostEqual(result.fields['TrueWindSpeed'],
expected['fields']['TrueWindSpeed'],
delta=0.00001)
self.assertDictEqual(result.metadata, expected['metadata'])
else:
self.assertIsNone(result)
return
def test_field_dict(self):
parse = ParseNMEATransform()
recip = RecipTransform()
port_winds = TrueWindsTransform(
course_field='S330CourseTrue',
speed_field='S330Speed',
heading_field='S330HeadingTrue',
wind_dir_field='MwxPortRelWindDir',
wind_speed_field='MwxPortRelWindSpeed',
true_dir_name='PortTrueWindDir',
true_speed_name='PortTrueWindSpeed',
apparent_dir_name='PortApparentWindDir',
convert_speed_factor=0.5144)
stbd_winds = TrueWindsTransform(
course_field='S330CourseTrue',
speed_field='S330Speed',
heading_field='S330HeadingTrue',
wind_dir_field='MwxStbdRelWindDir',
wind_speed_field='MwxStbdRelWindSpeed',
true_dir_name='StbdTrueWindDir',
true_speed_name='StbdTrueWindSpeed',
apparent_dir_name='StbdApparentWindDir',
convert_speed_factor=0.5144)
# Test using DASRecords as input
t = ComposedDerivedDataTransform(
transforms=[recip, port_winds, stbd_winds])
field_values = {}
# Build the field dict
for i in range(len(LINES)):
line = LINES[i]
record = parse.transform(line)
if not record:
continue
for field, value in record.fields.items():
if not field in field_values:
field_values[field] = []
field_values[field].append([record.timestamp, value])
results = t.transform(field_values)
self.assertRecursiveAlmostEqual(results, FIELD_DICT_RESULT)
"""
def test_das_record(self):
"""Test using DASRecords as input."""
parse = ParseNMEATransform()
recip = RecipTransform()
port_winds = TrueWindsTransform(
course_field='S330CourseTrue',
speed_field='S330Speed',
heading_field='S330HeadingTrue',
wind_dir_field='MwxPortRelWindDir',
wind_speed_field='MwxPortRelWindSpeed',
true_dir_name='PortTrueWindDir',
true_speed_name='PortTrueWindSpeed',
apparent_dir_name='PortApparentWindDir',
convert_speed_factor=0.5144)
stbd_winds = TrueWindsTransform(
course_field='S330CourseTrue',
speed_field='S330Speed',
heading_field='S330HeadingTrue',
wind_dir_field='MwxStbdRelWindDir',
wind_speed_field='MwxStbdRelWindSpeed',
true_dir_name='StbdTrueWindDir',
true_speed_name='StbdTrueWindSpeed',
apparent_dir_name='StbdApparentWindDir',
convert_speed_factor=0.5144)
t = ComposedDerivedDataTransform(
transforms=[recip, port_winds, stbd_winds])
for i in range(len(LINES)):
line = LINES[i]
record = parse.transform(line)
result = t.transform(record)
expected = DAS_RECORD_RESULTS[i]
logging.info('Input fields: %s', record.fields)
logging.info('Got result: %s', result)
logging.info('Expected result: %s', expected)
if not result or not expected:
self.assertIsNone(result)
self.assertIsNone(expected)
else:
self.assertRecursiveAlmostEqual(result.fields, expected)
def test_default(self):
lines = LINES.copy()
expected_results = RESULTS.copy()
# Use port wind speed, output in m/s
tw = TrueWindsTransform(course_field='CourseTrue',
speed_field='SpeedKt',
heading_field='HeadingTrue',
wind_dir_field='PortRelWindDir',
update_on_fields=['PortRelWindDir'],
wind_speed_field='PortRelWindSpeed',
true_dir_name='PortTrueWindDir',
true_speed_name='PortTrueWindSpeed',
apparent_dir_name='PortApparentWindDir',
convert_speed_factor=0.5144)
parse = ParseTransform(
field_patterns=[
'PUS,{:nc},{PortRelWindDir:g},{PortRelWindSpeed:g},M,{PortSoundSpeed:g},{PortSonicTemp:g},{PortStatus:d},{Checksum:nc}',
'$INHDT,{HeadingTrue:f},T*{CheckSum:x}',
'$INRMC,{GPSTime:f},{GPSStatus:w},{Latitude:nlat},{NorS:w},{Longitude:nlat},{EorW:w},{SpeedKt:f},{CourseTrue:f},{GPSDate:w},{MagneticVar:of},{MagneticVarEorW:ow},{Mode:w}*{Checksum:x}',
])
value_dict = {}
timestamp_dict = {}
while lines:
record = parse.transform(lines.pop(0))
result_list = tw.transform(record)
self.assertEqual(type(result_list), list)
result = result_list[0] if len(result_list) else None
expected = expected_results.pop(0)
logging.debug('Got result: %s', result)
logging.debug('Expected result: %s\n', expected)
if not result or not expected:
self.assertIsNone(result)
self.assertIsNone(expected)
else:
logging.debug('Comparing result:\n%s\nwith expected:\n%s',
result.fields, expected)
self.assertRecursiveAlmostEqual(result.fields, expected)
def test_sanity(self):
"""Sanity check that the numbers coming out make sense."""
check = SANITY_CHECK.copy()
expected_results = SANITY_RESULTS.copy()
tw = TrueWindsTransform(data_id='truw',
course_fields='CourseTrue',
speed_fields='Speed',
heading_fields='HeadingTrue',
wind_dir_fields='RelWindDir',
wind_speed_fields='RelWindSpeed')
while check:
fields = check.pop(0)
record = DASRecord(data_id='truw', fields=fields)
result = tw.transform(record)
logging.debug('sanity result: %s', result)
expected_fields = expected_results.pop(0)
self.assertDictEqual(result.fields, expected_fields)
return
def test_nmea(self):
lines = LINES.copy()
expected_results = RESULTS.copy()
nmea_results = NMEA_RESULTS.copy()
# Use port wind speed, output in m/s
tw = TrueWindsTransform(data_id='truw',
course_fields='S330CourseTrue',
speed_fields='S330Speed',
heading_fields='S330HeadingTrue',
wind_dir_fields='MwxPortRelWindDir',
wind_speed_fields='MwxPortRelWindSpeed',
convert_speed_factor=0.5144,
output_nmea=True)
parse = ParseNMEATransform()
while lines:
record = parse.transform(lines.pop(0))
result = tw.transform(record)
nmea_expected = nmea_results.pop(0)
self.assertEqual(result, nmea_expected)
# Now check that parsing into a DASRecord works as expected
das_result = parse.transform(result)
expected = expected_results.pop(0)
if das_result is None:
self.assertEqual(das_result, expected)
else:
das_fields = das_result.fields
exp_fields = expected['fields']
self.assertAlmostEqual(das_fields['TrueWindDir'],
exp_fields['TrueWindDir'],
delta=0.001)
self.assertAlmostEqual(das_fields['TrueWindSpeed'],
exp_fields['TrueWindSpeed'],
delta=0.001)
self.assertAlmostEqual(das_fields['ApparentWindDir'],
exp_fields['ApparentWindDir'],
delta=0.001)
return
def test_default(self):
lines = LINES.copy()
expected_results = RESULTS.copy()
# Use port wind speed, output in m/s
tw = TrueWindsTransform(course_field='S330CourseTrue',
speed_field='S330Speed',
heading_field='S330HeadingTrue',
wind_dir_field='MwxPortRelWindDir',
update_on_fields=['MwxPortRelWindDir'],
wind_speed_field='MwxPortRelWindSpeed',
true_dir_name='PortTrueWindDir',
true_speed_name='PortTrueWindSpeed',
apparent_dir_name='PortApparentWindDir',
convert_speed_factor=0.5144)
parse = ParseNMEATransform()
value_dict = {}
timestamp_dict = {}
while lines:
record = parse.transform(lines.pop(0))
result_list = tw.transform(record)
self.assertEqual(type(result_list), list)
result = result_list[0] if len(result_list) else None
expected = expected_results.pop(0)
logging.debug('Got result: %s', result)
logging.debug('Expected result: %s\n', expected)
if not result or not expected:
self.assertIsNone(result)
self.assertIsNone(expected)
else:
logging.debug('Comparing result:\n%s\nwith expected:\n%s',
result.fields, expected)
self.assertRecursiveAlmostEqual(result.fields, expected)
def test_no_timestamps(self):
lines = LINES.copy()
expected_results = NO_TIMESTAMP_RESULTS.copy()
# Use port wind speed, output in m/s
tw = TrueWindsTransform(course_field='S330CourseTrue',
speed_field='S330Speed',
heading_field='S330HeadingTrue',
wind_dir_field='MwxPortRelWindDir',
update_on_fields=['MwxPortRelWindDir'],
wind_speed_field='MwxPortRelWindSpeed',
true_dir_name='PortTrueWindDir',
true_speed_name='PortTrueWindSpeed',
apparent_dir_name='PortApparentWindDir',
convert_speed_factor=0.5144)
parse = ParseNMEATransform()
value_dict = {}
timestamp_dict = {}
while lines:
record = parse.transform(lines.pop(0))
for field in record.fields:
value_dict[field] = record.fields[field]
timestamp_dict[field] = record.timestamp
result = tw.transform(value_dict)
expected = expected_results.pop(0)
logging.info('Got result: %s', result)
logging.info('Expected result: %s', expected)
if not result or not expected:
self.assertIsNone(result)
self.assertIsNone(expected)
else:
self.assertRecursiveAlmostEqual(result, expected)
