def test_to_protobuf():
value = 1.25
int_dtype = 2
log = io_controlnetwork.MeasureLog(int_dtype, value)
proto = log.to_protobuf()
assert proto.doubleDataType == int_dtype
assert proto.doubleDataValue == value
def test_MeasureLog(messagetype, value):
l = io_controlnetwork.MeasureLog(messagetype, value)
if isinstance(messagetype, int):
assert l.messagetype == io_controlnetwork.MeasureMessageType(
messagetype)
elif isinstance(messagetype, str):
assert l.messagetype == io_controlnetwork.MeasureMessageType[
messagetype]
assert l.value == value
assert isinstance(l.to_protobuf, object)
def cnet_dataframe(tmpdir):
npts = 5
serial_times = {
295: '1971-07-31T01:24:11.754',
296: '1971-07-31T01:24:36.970'
}
serials = {
i: 'APOLLO15/METRIC/{}'.format(j)
for i, j in enumerate(serial_times.values())
}
columns = [
'id', 'pointType', 'serialnumber', 'measureType', 'sample', 'line',
'image_index', 'pointLog', 'measureLog', 'aprioriCovar',
'referenceIndex'
]
data = []
for i in range(npts):
aprioriCovar = None
if i == npts - 1:
aprioriCovar = np.ones((2, 3))
reference_idx = i % 2
data.append((i, 2, serials[0], 2, 0, 0, 0, [], [], aprioriCovar,
reference_idx))
data.append(
(i, 2, serials[1], 2, 0, 0, 1, [],
[io_controlnetwork.MeasureLog(2,
0.5)], aprioriCovar, reference_idx))
df = pd.DataFrame(data, columns=columns)
df.creation_date = strftime("%Y-%m-%d %H:%M:%S", gmtime())
df.modified_date = strftime("%Y-%m-%d %H:%M:%S", gmtime())
io_controlnetwork.to_isis(df,
tmpdir.join('test.net'),
mode='wb',
targetname='Moon')
df.header_message_size = 78
df.point_start_byte = 65614 # 66949
df.npts = npts
df.measure_size = [149, 149, 149, 149,
200] # Size of each measure in bytes
df.serials = serials
return df
def test_log_error():
with pytest.raises(TypeError) as err:
io_controlnetwork.MeasureLog(2, 'foo')