Tutorial:How to contribute to the flare wiki pages

Flare wiki pages are created by the flare data processing pipeline. At present, it only processes data from a few instruments. More modules can be integrated into the pipeline. If you wish to contribute code to the pipeline, please prepare plugins similar to the template below and send them to Hualin Xiao

#import  module_name
def plugin_name(flare_id, start_utc, end_utc, flare_peak_utc):
    #Flare ID, start UTC, end UTC and peak UTC values will be provided by the pipeline 
    # A plugin usually consist of blocks as below:
    # - data retrieving, for example using sunpy Fido 
    # - data processing
    # - plotting
    # - save plot to file
    return plot_filename

Below is a plugin example.

import astropy.units as u
from matplotlib import pyplot as plt
from sunpy.net import Fido, attrs as a
from sunpy.map import Map

def plot(folder,flare_id , start_utc, end_utc, peak_utc,  wavelen=131, overwrite=False):
    sdo_query = Fido.search(a.Time(utc_start, utc_end), a.Instrument('AIA'),
                            a.Wavelength(wavelen* u.angstrom))
    sdo_res = Fido.fetch(sdo_query[0], progress=False, path=folder)
    if not sdo_res:
        print('AIA data not available')
        return None
    if sdo_res:
        sdo = Map(sdo_res[0])
        fig = plt.figure(figsize=(6, 6), dpi=100)
        ax = fig.add_subplot(projection=sdo)
        sdo.plot(clip_interval=[1, 100] * u.percent, axes=ax)
        fname=os.path.join(folder, f'AIA_{wavelen}_{flare_id}.png')
        plt.savefig(fname, dpi=100)
        return fname
    return None

if __name__=='__main__':
    #for test only
    plot('.',0,'2021-04-01T00:00:00', '2021-04-01T00:10:00', '2021-04-01T00:05:00' )

It is also possible to integrate IDL code, which is compatible with GDL, into the pipeline.