Tutorial:How to contribute to the flare wiki pages

Flare wiki pages are created by the flare data processing pipeline, by using |WIKI APIs.

The created pages can be edited manually or by using scripts.

1 Integrate your code to STIX flare processing pipeline

If you have python code to be integrated into the pipeline, please prepare them 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 an example of plugins.

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
   
    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

2 Attach data to Wiki using APIs

If it is impossible to integrate your code into the pipeline, or you only want to push your results to wiki pages, you can use wiki http APIs or Pywikibot.