1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
|
#!/usr/bin/env python3
import sys
import yaml
import json
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib.colors import LinearSegmentedColormap
from metpy.units import units
def create_aggregators(cfg):
ret = {}
for aggregator in cfg:
aggconf = cfg[aggregator]
classname = aggconf['module']
del aggconf['module']
module = __import__(classname, fromlist=[None])
ret[aggregator] = module.load_data(name=aggregator, **aggconf)
return ret
def create_modifiers(aggregators, cfg):
# naming is scuffed
ret = {}
for modifier in cfg:
mod = cfg[modifier]
modname = mod['module']
del mod['module']
if 'aggregator' in mod:
if type(mod['aggregator']) == list:
mod['data'] = []
for ag in mod['aggregator']:
mod['data'].append(aggregators[ag])
del mod['aggregator']
else:
mod['data'] = aggregators[mod['aggregator']]
del mod['aggregator']
pymod = __import__(modname, fromlist=[None])
ret[modifier] = pymod.run(**mod)
return ret
mpl.use('agg')
# Define custom gpm and gpdm units. The default gpm in metpy is aliased to meter.
# We need the correct definition
units.define('_gpm = 9.80665 * J/kg')
units.define('_gpdm = 10 * _gpm')
# Define custom colormap
clcov_cmap = {
'red': (
(0.0, 0.0, 0.0),
(0.1, 0.9, 0.9),
(1.0, 0.3, 0.3),
),
'green': (
(0.0, 0.5, 0.5),
(0.1, 0.9, 0.9),
(1.0, 0.3, 0.3),
),
'blue': (
(0.0, 0.9, 0.9),
(0.1, 0.9, 0.9),
(1.0, 0.3, 0.3),
),
}
mpl.colormaps.register(LinearSegmentedColormap('clcov', clcov_cmap))
FILE = 'config.yaml'
if len(sys.argv) > 1:
FILE = sys.argv[1]
conf = None
with open(FILE, 'r') as f:
conf = yaml.safe_load(f)
aggregators = create_aggregators(conf['aggregator'])
if 'modifier' in conf:
aggregators.update(create_modifiers(aggregators, conf['modifier']))
index = []
for plotter in conf['plotter']:
modname = plotter['module']
del plotter['module']
if 'aggregator' in plotter:
plotter['data'] = aggregators[plotter['aggregator']]
del plotter['aggregator']
mod = __import__(modname, fromlist=[None])
index.extend(mod.run(**plotter))
plt.close('all')
with open(conf['index'], 'w') as f:
f.write(json.dumps(index, indent=4))
|