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"""This module defines the utilities required for wxcode plugin """
from collections import OrderedDict
import numpy as np
import iris
from iris.exceptions import CoordinateNotFoundError
import improver.utilities.solar as solar
_WX_DICT_IN = {0: 'Clear_Night',
1: 'Sunny_Day',
2: 'Partly_Cloudy_Night',
3: 'Partly_Cloudy_Day',
4: 'Dust',
5: 'Mist',
6: 'Fog',
7: 'Cloudy',
8: 'Overcast',
9: 'Light_Shower_Night',
10: 'Light_Shower_Day',
11: 'Drizzle',
12: 'Light_Rain',
13: 'Heavy_Shower_Night',
14: 'Heavy_Shower_Day',
15: 'Heavy_Rain',
16: 'Sleet_Shower_Night',
17: 'Sleet_Shower_Day',
18: 'Sleet',
19: 'Hail_Shower_Night',
20: 'Hail_Shower_Day',
21: 'Hail',
22: 'Light_Snow_Shower_Night',
23: 'Light_Snow_Shower_Day',
24: 'Light_Snow',
25: 'Heavy_Snow_Shower_Night',
26: 'Heavy_Snow_Shower_Day',
27: 'Heavy_Snow',
28: 'Thunder_Shower_Night',
29: 'Thunder_Shower_Day',
30: 'Thunder'}
WX_DICT = OrderedDict(sorted(_WX_DICT_IN.items(), key=lambda t: t[0]))
DAYNIGHT_CODES = [1, 3, 10, 14, 17, 20, 23, 26, 29]
[docs]def expand_nested_lists(query, key):
"""
Produce flat lists from list and nested lists.
Args:
query (dict):
A single query from the decision tree.
key (string):
A string denoting the field to be taken from the dict.
Returns:
items (list):
A 1D list containing all the values for a given key.
"""
items = []
for item in query[key]:
if isinstance(item, list):
items.extend(item)
else:
items.extend([item])
return items
[docs]def update_daynight(cubewx):
""" Update weather cube depending on whether it is day or night
Args:
cubewx(Iris.cube.Cube):
Cube containing only daytime weather symbols.
Returns:
cubewx_daynight(Iris.cube.Cube):
Cube containing day and night weather symbols
Raises:
CoordinateNotFoundError : cube must have time coordinate.
"""
if not cubewx.coords("time"):
msg = ("cube must have time coordinate ")
raise CoordinateNotFoundError(msg)
time_dim = cubewx.coord_dims('time')
if not time_dim:
cubewx_daynight = iris.util.new_axis(cubewx.copy(), 'time')
else:
cubewx_daynight = cubewx.copy()
daynightplugin = solar.DayNightMask()
daynight_mask = daynightplugin.process(cubewx_daynight)
# Loop over the codes which decrease by 1 if a night time value
# e.g. 1 - sunny day becomes 0 - clear night.
for val in DAYNIGHT_CODES:
index = np.where(cubewx_daynight.data == val)
# Where day leave as is, where night correct weather
# code to value - 1.
cubewx_daynight.data[index] = np.where(
daynight_mask.data[index] == daynightplugin.day,
cubewx_daynight.data[index],
cubewx_daynight.data[index] - 1)
if not time_dim:
cubewx_daynight = iris.util.squeeze(cubewx_daynight)
return cubewx_daynight