54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
import requests
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from bs4 import BeautifulSoup
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import pandas as pd
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import itertools
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def fix_name(category, raw_name):
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splitted = raw_name.replace('-', '+').replace('.', '+').replace(',', '+').split('+')
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out1 = ""
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for s in splitted:
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out1 += s.capitalize()
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result = ""
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if out1[0].isdigit():
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result += category[0].capitalize()
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result += out1
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else:
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result += out1
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return result
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# https://www.freeformatter.com/mime-types-list.html
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if __name__ == '__main__':
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df = pd.read_html(open('table.html', 'r'))
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mimes = []
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for row in df[0].drop_duplicates(subset=['MIME Type / Internet Media Type'], keep='first').iterrows():
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mime = row[1][1]
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mime_category = mime.split('/', 1)[0]
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mime_name = mime.split('/', 1)[1]
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mimes.append({
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'mime_category': mime_category,
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'mime_name': mime_name,
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})
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# codegen
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mimes.sort(key=lambda x: x['mime_category'])
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grouped = itertools.groupby(mimes, lambda x: x['mime_category'])
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code = ''
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code2 = 'internal val knownMimeTypes: Set<MimeType> = setOf(\n'
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code2 += ' KnownMimeTypes.Any,\n'
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for key, group in grouped:
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group_name = fix_name(group, key)
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code += '@Serializable(MimeTypeSerializer::class)\nsealed class %s(raw: String) : MimeType, KnownMimeTypes(raw) {\n' % group_name
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code += ' @Serializable(MimeTypeSerializer::class)\n object Any: %s ("%s/*")\n' % (group_name, key)
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for mime in group:
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name = fix_name(mime['mime_category'], mime['mime_name'])
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code += ' @Serializable(MimeTypeSerializer::class)\n object %s: %s ("%s/%s")\n' % (name, group_name, mime['mime_category'], mime['mime_name'])
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code2 += ' KnownMimeTypes.%s.%s,\n' % (group_name, name)
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code += '}\n\n'
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code2 += ')\n'
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with open('out1.txt', 'w') as file:
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file.write(code)
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with open('out2.txt', 'w') as file:
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file.write(code2)
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