Completed
Pull Request — master (#1109)
by Abdeali
01:48
created

coalib.bearlib.abstractions.Lint.match_to_result()   A

Complexity

Conditions 3

Size

Total Lines 23

Duplication

Lines 0
Ratio 0 %
Metric Value
cc 3
dl 0
loc 23
rs 9.0857
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import subprocess
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import tempfile
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import re
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import sys
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from coalib.misc.Shell import escape_path_argument
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from coalib.results.Result import Result
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from coalib.results.RESULT_SEVERITY import RESULT_SEVERITY
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class Lint():
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    """
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    :param executable:   The executable to run the linter.
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    :param arguments:    The arguments to supply to the linter, such
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                         that the file name to be analyzed can be
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                         appended to the end.
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    :param output_regex: The regex which will match the output of the linter
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                         to get results. Thie regex should give out the
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                         following variables:
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                          line - The line where the issue starts.
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                          column - The column where the issue starts.
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                          end_line - The line where the issue ends.
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                          end_column - The column where the issue ends.
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                          severity - The severity of the issue.
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                          message - The message of the result.
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    :param use_stderr:   Uses stderr as the output stream is it's True.
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    :param severity_map: A dict where the keys are the possible severity
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                         values the Linter gives out and the values are the
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                         severity of the coala Result to set it to. If it is
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                         not a dict, it is ignored.
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    """
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    executable = None
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    arguments = ""
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    output_regex = re.compile(r'(?P<line>\d+)\.(?P<column>\d+)\|'
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                              r'(?P<severity>\d+): (?P<message>.*)')
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    use_stderr = False
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    severity_map = None
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    def lint(self, filename):
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        """
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        Takes a file and lints it using the linter variables defined apriori.
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        :param filename: The name of the file to execute.
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        """
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        command = (self.executable + ' ' + self.arguments + ' '
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                   + escape_path_argument(filename))
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        stderr_file = tempfile.TemporaryFile()
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        stdout_file = tempfile.TemporaryFile()
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        process = subprocess.Popen(
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            command,
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            shell=True,
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            stdout=stdout_file,
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            stderr=stderr_file,
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            universal_newlines=True)
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        process.wait()
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        if self.use_stderr:
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            stderr_file.seek(0)
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            output = stderr_file.read().decode(sys.stdout.encoding,
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                                               errors="replace")
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        else:
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            stdout_file.seek(0)
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            output = stdout_file.read().decode(sys.stdout.encoding,
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                                               errors="replace")
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        stdout_file.close()
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        stderr_file.close()
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        return self.process_output(output, filename)
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    def process_output(self, output, filename):
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        regex = self.output_regex
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        if isinstance(regex, str):
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            regex = regex % {"file_name": filename}
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        for match in re.finditer(regex, output):
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            yield self.match_to_result(match, filename)
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    def _get_groupdict(self, match):
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        groups = match.groupdict()
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        if (
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                isinstance(self.severity_map, dict) and
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                "severity" in groups and
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                groups["severity"] in self.severity_map):
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            groups["severity"] = self.severity_map[groups["severity"]]
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        return groups
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    def match_to_result(self, match, filename):
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        """
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        Converts a regex match's groups into a result.
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        :param match:    The match got from regex parsing.
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        :param filename: The name of the file from which this match is got.
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        """
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        groups = self._get_groupdict(match)
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        # Pre process the groups
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        for variable in ("line", "column", "end_line", "end_column"):
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            if variable in groups:
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                groups[variable] = int(groups[variable])
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        return Result.from_values(
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            origin=self,
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            message=groups.get("message", ""),
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            file=filename,
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            severity=int(groups.get("severity", RESULT_SEVERITY.NORMAL)),
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            line=groups.get("line", None),
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            column=groups.get("column", None),
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            end_line=groups.get("end_line", None),
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            end_column=groups.get("end_column", None))
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