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from io import StringIO |
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from csv import DictReader |
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from coalib.bearlib.abstractions.Lint import Lint |
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from coalib.bears.LocalBear import LocalBear |
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from coalib.results.RESULT_SEVERITY import RESULT_SEVERITY |
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from coalib.results.Result import Result |
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def convert_if_not_empty(value: str, conversion): |
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""" |
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Returns the value converted if it is not None or empty. |
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:param value: The value to convert. |
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:param conversion: The conversion callable. |
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:return: None or the converted value. |
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""" |
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if value is not None and value != '': |
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return conversion(value) |
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return None |
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class CoffeeLintBear(LocalBear, Lint): |
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executable = 'coffeelint' |
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arguments = '--reporter=csv' |
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severity_map = {'warn': RESULT_SEVERITY.NORMAL, |
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'error': RESULT_SEVERITY.MAJOR} |
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def run(self, filename, file): |
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""" |
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Coffeelint's your files! |
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""" |
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return self.lint(filename) |
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def _process_issues(self, output, filename, file): |
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reader = DictReader(StringIO("".join(output))) |
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for row in reader: |
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try: |
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yield Result.from_values( |
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origin=self, |
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message=row['message'], |
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file=filename, |
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line=convert_if_not_empty(row['lineNumber'], int), |
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end_line=convert_if_not_empty(row['lineNumberEnd'], int), |
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severity=self.severity_map[row['level']]) |
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except KeyError: # Invalid CSV line, ignore |
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pass |
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coala-analyzer /
coala
