def test_dataqc_globalrangetest(self):
"""
Test of the Golbal Range Test function.
Test values based on those defined in DPS:
OOI (2012). Data Product Specification for Global Range Test. Document
Control Number 1341-10004. https://alfresco.oceanobservatories.org/
(See: Company Home >> OOI >> Controlled >> 1000 System Level >>
1341-10004_Data_Product_SPEC_GLBLRNG_OOI.pdf)
Implemented by Christopher Wingard, April 2013
"""
x = [9, 10, 16, 17, 18, 19, 20, 25]
lim = [10, 20]
out = [0, 1, 1, 1, 1, 1, 1, 0]
got = qcfunc.dataqc_globalrangetest(x, lim)
self.assertTrue(np.array_equal(got, out))
def test_dataqc_globalrangetest(self):
"""
Test of the Golbal Range Test function.
Test values based on those defined in DPS:
OOI (2012). Data Product Specification for Global Range Test. Document
Control Number 1341-10004. https://alfresco.oceanobservatories.org/
(See: Company Home >> OOI >> Controlled >> 1000 System Level >>
1341-10004_Data_Product_SPEC_GLBLRNG_OOI.pdf)
Implemented by Christopher Wingard, April 2013
"""
x = [9, 10, 16, 17, 18, 19, 20, 25]
lim = [10, 20]
out = [0, 1, 1, 1, 1, 1, 1, 0]
got = qcfunc.dataqc_globalrangetest(x, lim)
self.assertTrue(np.array_equal(got, out))
def process_glblrng(self, coverage, parameter, input_name, min_value, max_value):
'''
Evaluates the QC for global range for all data values that equal -88 (not yet evaluated)
'''
log.error("input name: %s", input_name)
log.info("Num timesteps: %s", coverage.num_timesteps)
# Get all of the QC values, and find where -88 is set (uninitialized)
qc_array = coverage.get_parameter_values(parameter.name)
indexes = np.where( qc_array == -88 )[0]
# Now build a variable, but I need to keep track of the time where the data goes
time_array = coverage.get_parameter_values(coverage.temporal_parameter_name)[indexes]
value_array = coverage.get_parameter_values(input_name)[indexes]
from ion_functions.qc.qc_functions import dataqc_globalrangetest
qc = dataqc_globalrangetest(value_array, [min_value, max_value])
return_dictionary = {
coverage.temporal_parameter_name : time_array,
parameter.name : qc
}
def process_glblrng(self, coverage, parameter, input_name, min_value,
max_value):
'''
Evaluates the QC for global range for all data values that equal -88 (not yet evaluated)
'''
log.error("input name: %s", input_name)
log.info("Num timesteps: %s", coverage.num_timesteps)
# Get all of the QC values, and find where -88 is set (uninitialized)
qc_array = self.get_parameter_values(coverage, parameter.name)
indexes = np.where(qc_array == -88)[0]
# Now build a variable, but I need to keep track of the time where the data goes
time_array = self.get_parameter_values(
coverage, coverage.temporal_parameter_name)[indexes]
value_array = self.get_parameter_values(coverage, input_name)[indexes]
from ion_functions.qc.qc_functions import dataqc_globalrangetest
qc = dataqc_globalrangetest(value_array, [min_value, max_value])
return_dictionary = {
coverage.temporal_parameter_name: time_array,
parameter.name: qc
}