mirror of
https://github.com/LonamiWebs/Telethon.git
synced 2024-11-10 19:46:36 +03:00
56 lines
2.3 KiB
Python
56 lines
2.3 KiB
Python
# Should be fed with the JSON obtained from https://core.telegram.org/api/errors#error-database
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import re
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import csv
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import sys
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import json
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from pathlib import Path
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sys.path.insert(0, '..')
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from telethon_generator.parsers.errors import parse_errors, Error
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from telethon_generator.parsers.methods import parse_methods, MethodInfo
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ERRORS = Path('data/errors.csv')
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METHODS = Path('data/methods.csv')
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FRIENDLY = Path('data/friendly.csv')
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def main():
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new_errors = []
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new_methods = []
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self_errors = {e.str_code: e for e in parse_errors(ERRORS)}
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self_methods = {m.name: m for m in parse_methods(METHODS, FRIENDLY, self_errors)}
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tg_data = json.load(sys.stdin)
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def get_desc(code):
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return re.sub(r'\s*&\w+;\s*', '', (tg_data['descriptions'].get(code) or '').rstrip('.'))
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for int_code, errors in tg_data['errors'].items():
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int_code = int(int_code) # json does not support non-string keys
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for code, methods in errors.items():
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if not re.match(r'\w+', code):
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continue # skip, full code is unknown (contains asterisk or is multiple words)
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str_code = code.replace('%d', 'X')
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if error := self_errors.get(str_code):
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error.int_codes.append(int_code) # de-duplicated once later
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if not error.description: # prefer our descriptions
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if not error.has_captures: # need descriptions with specific text if error has captures
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error.description = get_desc(code)
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else:
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self_errors[str_code] = Error([int_code], str_code, get_desc(code))
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new_errors.extend((e.str_code, ' '.join(map(str, sorted(set(e.int_codes)))), e.description) for e in self_errors.values())
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new_methods.extend((m.name, m.usability.key, ' '.join(sorted(e.str_code for e in m.errors))) for m in self_methods.values())
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csv.register_dialect('plain', lineterminator='\n')
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with ERRORS.open('w', encoding='utf-8', newline='') as fd:
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csv.writer(fd, 'plain').writerows((('name', 'codes', 'description'), *sorted(new_errors)))
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with METHODS.open('w', encoding='utf-8', newline='') as fd:
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csv.writer(fd, 'plain').writerows((('method', 'usability', 'errors'), *sorted(new_methods)))
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if __name__ == '__main__':
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main()
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