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85 lines
2.9 KiB
Python
85 lines
2.9 KiB
Python
import csv
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import re
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from ..utils import snake_to_camel_case
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# Core base classes depending on the integer error code
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KNOWN_BASE_CLASSES = {
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303: 'InvalidDCError',
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400: 'BadRequestError',
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401: 'UnauthorizedError',
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403: 'ForbiddenError',
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404: 'NotFoundError',
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406: 'AuthKeyError',
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420: 'FloodError',
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500: 'ServerError',
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503: 'TimedOutError'
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}
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def _get_class_name(error_code):
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"""
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Gets the corresponding class name for the given error code,
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this either being an integer (thus base error name) or str.
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"""
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if isinstance(error_code, int):
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return KNOWN_BASE_CLASSES.get(
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abs(error_code), 'RPCError' + str(error_code).replace('-', 'Neg')
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)
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if error_code.startswith('2'):
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error_code = re.sub(r'2', 'TWO_', error_code, count=1)
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if re.match(r'\d+', error_code):
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raise RuntimeError('error code starting with a digit cannot have valid Python name: {}'.format(error_code))
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return snake_to_camel_case(
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error_code.replace('FIRSTNAME', 'FIRST_NAME')\
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.replace('SLOWMODE', 'SLOW_MODE').lower(), suffix='Error')
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class Error:
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def __init__(self, codes, name, description):
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# TODO Some errors have the same name but different integer codes
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# Should these be split into different files or doesn't really matter?
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# Telegram isn't exactly consistent with returned errors anyway.
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self.int_code = codes[0]
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self.str_code = name
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self.subclass = _get_class_name(codes[0])
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self.subclass_exists = abs(codes[0]) in KNOWN_BASE_CLASSES
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self.description = description
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self.has_captures = '_X' in name
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if self.has_captures:
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self.name = _get_class_name(name.replace('_X', ''))
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self.pattern = name.replace('_X', r'_(\d+)')
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self.capture_name = re.search(r'{(\w+)}', description).group(1)
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else:
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self.name = _get_class_name(name)
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self.pattern = name
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self.capture_name = None
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def parse_errors(csv_file):
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"""
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Parses the input CSV file with columns (name, error codes, description)
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and yields `Error` instances as a result.
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"""
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with csv_file.open(newline='') as f:
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f = csv.reader(f)
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next(f, None) # header
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for line, tup in enumerate(f, start=2):
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try:
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name, codes, description = tup
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except ValueError:
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raise ValueError('Columns count mismatch, unquoted comma in '
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'desc? (line {})'.format(line)) from None
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try:
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codes = [int(x) for x in codes.split()] or [400]
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except ValueError:
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raise ValueError('Not all codes are integers '
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'(line {})'.format(line)) from None
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yield Error([int(x) for x in codes], name, description)
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