def get_param_dict(self):
pdict = ParameterDictionary()
cond_ctxt = ParameterContext(
'conductivity', param_type=QuantityType(value_encoding=np.float64))
cond_ctxt.uom = 'unknown'
cond_ctxt.fill_value = 0e0
pdict.add_context(cond_ctxt)
pres_ctxt = ParameterContext(
'pressure', param_type=QuantityType(value_encoding=np.float64))
pres_ctxt.uom = 'unknown'
pres_ctxt.fill_value = 0x0
pdict.add_context(pres_ctxt)
temp_ctxt = ParameterContext(
'temperature', param_type=QuantityType(value_encoding=np.float64))
temp_ctxt.uom = 'unknown'
temp_ctxt.fill_value = 0x0
pdict.add_context(temp_ctxt)
oxy_ctxt = ParameterContext(
'oxygen', param_type=QuantityType(value_encoding=np.float64))
oxy_ctxt.uom = 'unknown'
oxy_ctxt.fill_value = 0x0
pdict.add_context(oxy_ctxt)
internal_ts_ctxt = ParameterContext(
name='internal_timestamp',
param_type=QuantityType(value_encoding=np.float64))
internal_ts_ctxt._derived_from_name = 'time'
internal_ts_ctxt.uom = 'seconds'
internal_ts_ctxt.fill_value = -1
pdict.add_context(internal_ts_ctxt, is_temporal=True)
driver_ts_ctxt = ParameterContext(
name='driver_timestamp',
param_type=QuantityType(value_encoding=np.float64))
driver_ts_ctxt._derived_from_name = 'time'
driver_ts_ctxt.uom = 'seconds'
driver_ts_ctxt.fill_value = -1
pdict.add_context(driver_ts_ctxt)
return pdict
def get_param_dict(self):
pdict = ParameterDictionary()
cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=np.float64))
cond_ctxt.uom = 'unknown'
cond_ctxt.fill_value = 0e0
pdict.add_context(cond_ctxt)
pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=np.float64))
pres_ctxt.uom = 'unknown'
pres_ctxt.fill_value = 0x0
pdict.add_context(pres_ctxt)
temp_ctxt = ParameterContext('temperature', param_type=QuantityType(value_encoding=np.float64))
temp_ctxt.uom = 'unknown'
temp_ctxt.fill_value = 0x0
pdict.add_context(temp_ctxt)
oxy_ctxt = ParameterContext('oxygen', param_type=QuantityType(value_encoding=np.float64))
oxy_ctxt.uom = 'unknown'
oxy_ctxt.fill_value = 0x0
pdict.add_context(oxy_ctxt)
internal_ts_ctxt = ParameterContext(name='internal_timestamp', param_type=QuantityType(value_encoding=np.float64))
internal_ts_ctxt._derived_from_name = 'time'
internal_ts_ctxt.uom = 'seconds'
internal_ts_ctxt.fill_value = -1
pdict.add_context(internal_ts_ctxt, is_temporal=True)
driver_ts_ctxt = ParameterContext(name='driver_timestamp', param_type=QuantityType(value_encoding=np.float64))
driver_ts_ctxt._derived_from_name = 'time'
driver_ts_ctxt.uom = 'seconds'
driver_ts_ctxt.fill_value = -1
pdict.add_context(driver_ts_ctxt)
return pdict
def load():
from coverage_model.parameter import ParameterContext
from coverage_model.parameter_types import QuantityType, ArrayType, RecordType
from coverage_model.basic_types import AxisTypeEnum
import numpy as np
contexts = []
cond_ctxt = ParameterContext('conductivity', param_type=QuantityType(value_encoding=np.float32))
cond_ctxt.uom = 'unknown'
cond_ctxt.fill_value = 0e0
contexts.append(cond_ctxt)
pres_ctxt = ParameterContext('pressure', param_type=QuantityType(value_encoding=np.float32))
pres_ctxt.uom = 'Pascal'
pres_ctxt.fill_value = 0x0
contexts.append(pres_ctxt)
sal_ctxt = ParameterContext('salinity', param_type=QuantityType(value_encoding=np.float32))
sal_ctxt.uom = 'PSU'
sal_ctxt.fill_value = 0x0
contexts.append(sal_ctxt)
den_ctxt = ParameterContext('density', param_type=QuantityType(value_encoding=np.float32))
den_ctxt.uom = 'kg/m3'
den_ctxt.fill_value = 0x0
contexts.append(den_ctxt)
temp_ctxt = ParameterContext('temp', param_type=QuantityType(value_encoding=np.float32))
temp_ctxt.uom = 'degree_Celsius'
temp_ctxt.fill_value = 0e0
contexts.append(temp_ctxt)
t_ctxt = ParameterContext('time', param_type=QuantityType(value_encoding=np.int64))
t_ctxt.uom = 'seconds since 1970-01-01'
t_ctxt.fill_value = 0x0
contexts.append(t_ctxt)
lat_ctxt = ParameterContext('lat', param_type=QuantityType(value_encoding=np.float32))
lat_ctxt.reference_frame = AxisTypeEnum.LAT
lat_ctxt.uom = 'degree_north'
lat_ctxt.fill_value = 0e0
contexts.append(lat_ctxt)
lon_ctxt = ParameterContext('lon', param_type=QuantityType(value_encoding=np.float32))
lon_ctxt.reference_frame = AxisTypeEnum.LON
lon_ctxt.uom = 'degree_east'
lon_ctxt.fill_value = 0e0
contexts.append(lon_ctxt)
raw_ctxt = ParameterContext('raw', param_type=ArrayType())
raw_ctxt.description = 'raw binary string values'
raw_ctxt.uom = 'utf-8 byte string'
contexts.append(raw_ctxt)
port_ts_ctxt = ParameterContext(name='port_timestamp', param_type=QuantityType(value_encoding=np.float64))
port_ts_ctxt._derived_from_name = 'time'
port_ts_ctxt.uom = 'seconds'
port_ts_ctxt.fill_value = -1
contexts.append(port_ts_ctxt)
driver_ts_ctxt = ParameterContext(name='driver_timestamp', param_type=QuantityType(value_encoding=np.float64))
driver_ts_ctxt._derived_from_name = 'time'
driver_ts_ctxt.uom = 'seconds'
driver_ts_ctxt.fill_value = -1
contexts.append(driver_ts_ctxt)
internal_ts_ctxt = ParameterContext(name='internal_timestamp', param_type=QuantityType(value_encoding=np.float64))
internal_ts_ctxt._derived_from_name = 'time'
internal_ts_ctxt.uom = 'seconds'
internal_ts_ctxt.fill_value = -1
contexts.append(internal_ts_ctxt)
timer_num_ctxt = ParameterContext(name='timer', param_type=QuantityType(value_encoding=np.float64))
timer_num_ctxt.fill_value = -1
contexts.append(timer_num_ctxt)
serial_num_ctxt = ParameterContext(name='serial_num', param_type=QuantityType(value_encoding=np.int32))
serial_num_ctxt.fill_value = -1
contexts.append(serial_num_ctxt)
count_ctxt = ParameterContext(name='counts', param_type=QuantityType(value_encoding=np.uint64))
count_ctxt.fill_value = -1
contexts.append(count_ctxt)
checksum_ctxt = ParameterContext(name='checksum', param_type=QuantityType(value_encoding=np.int32))
checksum_ctxt.fill_value = -1
contexts.append(checksum_ctxt)
pref_ts_ctxt = ParameterContext(name='preferred_timestamp', param_type=ArrayType())
pref_ts_ctxt.description = 'name of preferred timestamp'
contexts.append(pref_ts_ctxt)
# TODO: This should probably be of type CategoryType when implemented
qual_flag_ctxt = ParameterContext(name='quality_flag', param_type=ArrayType())
qual_flag_ctxt.description = 'flag indicating quality'
contexts.append(qual_flag_ctxt)
viz_ts_ctxt = ParameterContext(name='viz_timestamp', param_type=QuantityType(value_encoding=np.float64))
viz_ts_ctxt._derived_from_name = 'time'
viz_ts_ctxt.uom = 'seconds'
viz_ts_ctxt.fill_value = -1
contexts.append(viz_ts_ctxt)
viz_prod_type_ctxt = ParameterContext(name='viz_product_type', param_type=ArrayType())
contexts.append(viz_prod_type_ctxt)
image_obj_ctxt = ParameterContext(name='image_obj', param_type=ArrayType())
contexts.append(image_obj_ctxt)
image_name_ctxt = ParameterContext(name='image_name', param_type=ArrayType())
contexts.append(image_name_ctxt)
content_type_ctxt = ParameterContext(name='content_type', param_type=ArrayType())
contexts.append(content_type_ctxt)
gdt_ctxt = ParameterContext(name='google_dt_components', param_type=RecordType())
contexts.append(gdt_ctxt)
mpl_ctxt = ParameterContext(name='mpl_graph', param_type=RecordType())
contexts.append(mpl_ctxt)
dummy_ctxt = ParameterContext(name='dummy', param_type=QuantityType(value_encoding=np.int64))
contexts.append(dummy_ctxt)
return contexts
def build_contexts():
'''
Builds the relevant parameter context objects
'''
contexts = []
cond_ctxt = ParameterContext(
'conductivity', param_type=QuantityType(value_encoding=np.float32))
cond_ctxt.uom = 'unknown'
cond_ctxt.fill_value = 0e0
contexts.append(cond_ctxt)
pres_ctxt = ParameterContext(
'pressure', param_type=QuantityType(value_encoding=np.float32))
pres_ctxt.uom = 'Pascal'
pres_ctxt.fill_value = 0x0
contexts.append(pres_ctxt)
sal_ctxt = ParameterContext(
'salinity', param_type=QuantityType(value_encoding=np.float32))
sal_ctxt.uom = 'PSU'
sal_ctxt.fill_value = 0x0
contexts.append(sal_ctxt)
den_ctxt = ParameterContext(
'density', param_type=QuantityType(value_encoding=np.float32))
den_ctxt.uom = 'kg/m3'
den_ctxt.fill_value = 0x0
contexts.append(den_ctxt)
temp_ctxt = ParameterContext(
'temp', param_type=QuantityType(value_encoding=np.float32))
temp_ctxt.uom = 'degree_Celsius'
temp_ctxt.fill_value = 0e0
contexts.append(temp_ctxt)
t_ctxt = ParameterContext('time',
param_type=QuantityType(value_encoding=np.int64))
t_ctxt.uom = 'seconds since 1970-01-01'
t_ctxt.fill_value = 0x0
contexts.append(t_ctxt)
lat_ctxt = ParameterContext(
'lat', param_type=QuantityType(value_encoding=np.float32))
lat_ctxt.axis = AxisTypeEnum.LAT
lat_ctxt.uom = 'degree_north'
lat_ctxt.fill_value = 0e0
contexts.append(lat_ctxt)
lon_ctxt = ParameterContext(
'lon', param_type=QuantityType(value_encoding=np.float32))
lon_ctxt.axis = AxisTypeEnum.LON
lon_ctxt.uom = 'degree_east'
lon_ctxt.fill_value = 0e0
contexts.append(lon_ctxt)
raw_ctxt = ParameterContext('raw', param_type=ArrayType())
raw_ctxt.description = 'raw binary string values'
raw_ctxt.uom = 'utf-8 byte string'
raw_ctxt.fill_value = 0x0
contexts.append(raw_ctxt)
port_ts_ctxt = ParameterContext(
name='port_timestamp',
param_type=QuantityType(value_encoding=np.float64))
port_ts_ctxt._derived_from_name = 'time'
port_ts_ctxt.uom = 'seconds'
port_ts_ctxt.fill_value = -1
contexts.append(port_ts_ctxt)
driver_ts_ctxt = ParameterContext(
name='driver_timestamp',
param_type=QuantityType(value_encoding=np.float64))
driver_ts_ctxt._derived_from_name = 'time'
driver_ts_ctxt.uom = 'seconds'
driver_ts_ctxt.fill_value = -1
contexts.append(driver_ts_ctxt)
internal_ts_ctxt = ParameterContext(
name='internal_timestamp',
param_type=QuantityType(value_encoding=np.float64))
internal_ts_ctxt._derived_from_name = 'time'
internal_ts_ctxt.uom = 'seconds'
internal_ts_ctxt.fill_value = -1
contexts.append(internal_ts_ctxt)
timer_num_ctxt = ParameterContext(
name='timer', param_type=QuantityType(value_encoding=np.float64))
timer_num_ctxt.fill_value = -1
contexts.append(timer_num_ctxt)
serial_num_ctxt = ParameterContext(
name='serial_num', param_type=QuantityType(value_encoding=np.int32))
serial_num_ctxt.fill_value = -1
contexts.append(serial_num_ctxt)
count_ctxt = ParameterContext(
name='counts', param_type=QuantityType(value_encoding=np.uint64))
count_ctxt.fill_value = -1
contexts.append(count_ctxt)
checksum_ctxt = ParameterContext(
name='checksum', param_type=QuantityType(value_encoding=np.int32))
checksum_ctxt.fill_value = -1
contexts.append(checksum_ctxt)
pref_ts_ctxt = ParameterContext(
name='preferred_timestamp',
param_type=QuantityType(value_encoding=np.uint64))
pref_ts_ctxt.description = 'name of preferred timestamp'
pref_ts_ctxt.fill_value = 0x0
contexts.append(pref_ts_ctxt)
# TODO: This should probably be of type CategoryType when implemented
qual_flag_ctxt = ParameterContext(name='quality_flag',
param_type=ArrayType())
qual_flag_ctxt.description = 'flag indicating quality'
qual_flag_ctxt.fill_value = None
contexts.append(qual_flag_ctxt)
viz_ts_ctxt = ParameterContext(
name='viz_timestamp',
param_type=QuantityType(value_encoding=np.float64))
viz_ts_ctxt._derived_from_name = 'time'
viz_ts_ctxt.uom = 'seconds'
viz_ts_ctxt.fill_value = -1
contexts.append(viz_ts_ctxt)
viz_prod_type_ctxt = ParameterContext(name='viz_product_type',
param_type=ArrayType())
viz_prod_type_ctxt.fill_value = None
contexts.append(viz_prod_type_ctxt)
image_obj_ctxt = ParameterContext(name='image_obj', param_type=ArrayType())
image_obj_ctxt.fill_value = None
contexts.append(image_obj_ctxt)
image_name_ctxt = ParameterContext(name='image_name',
param_type=ArrayType())
contexts.append(image_name_ctxt)
content_type_ctxt = ParameterContext(name='content_type',
param_type=ArrayType())
contexts.append(content_type_ctxt)
gdt_ctxt = ParameterContext(name='google_dt_components',
param_type=RecordType())
contexts.append(gdt_ctxt)
mpl_ctxt = ParameterContext(name='mpl_graph', param_type=RecordType())
contexts.append(mpl_ctxt)
dummy_ctxt = ParameterContext(
name='dummy', param_type=QuantityType(value_encoding=np.int64))
contexts.append(dummy_ctxt)
return contexts
