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path: root/metchart/run.py
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#!/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

def main():
    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))

if __name__ == '__main__':
    main()