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68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
import csv
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import enum
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import warnings
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class Usability(enum.Enum):
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UNKNOWN = 0
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USER = 1
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BOT = 2
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BOTH = 4
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@property
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def key(self):
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return {
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Usability.UNKNOWN: 'unknown',
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Usability.USER: 'user',
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Usability.BOT: 'bot',
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Usability.BOTH: 'both',
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}[self]
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class MethodInfo:
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def __init__(self, name, usability, errors, friendly):
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self.name = name
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self.errors = errors
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self.friendly = friendly
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try:
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self.usability = {
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'unknown': Usability.UNKNOWN,
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'user': Usability.USER,
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'bot': Usability.BOT,
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'both': Usability.BOTH,
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}[usability.lower()]
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except KeyError:
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raise ValueError('Usability must be either user, bot, both or '
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'unknown, not {}'.format(usability)) from None
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def parse_methods(csv_file, friendly_csv_file, errors_dict):
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"""
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Parses the input CSV file with columns (method, usability, errors)
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and yields `MethodInfo` instances as a result.
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"""
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raw_to_friendly = {}
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with friendly_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 ns, friendly, raw_list in f:
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for raw in raw_list.split():
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raw_to_friendly[raw] = (ns, friendly)
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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, (method, usability, errors) in enumerate(f, start=2):
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try:
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errors = [errors_dict[x] for x in errors.split()]
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except KeyError:
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raise ValueError('Method {} references unknown errors {}'
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.format(method, errors)) from None
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friendly = raw_to_friendly.pop(method, None)
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yield MethodInfo(method, usability, errors, friendly)
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if raw_to_friendly:
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warnings.warn('note: unknown raw methods in friendly mapping: {}'
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.format(', '.join(raw_to_friendly)))
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