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rAKA/test/ci/scripts/clang-tidy2code-quality.py
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clang-tidy2code-quality.py
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#!/usr/bin/env python3
"""clang-tidy2code-quality.py: Conversion of clang-tidy output 2
code-quality"""
__author__ = "Nicolas Richart"
__credits__ = [
"Nicolas Richart <nicolas.richart@epfl.ch>",
]
__copyright__ = "Copyright (©) 2018-2021 EPFL (Ecole Polytechnique Fédérale" \
" de Lausanne) Laboratory (LSMS - Laboratoire de Simulation" \
" en Mécanique des Solides)"
__license__ = "LGPLv3"
import re
import os
import hashlib
import json
import sys
import subprocess
try:
from termcolor import colored
except ImportError:
def colored(text, color):
return text
def print_debug(message):
'''helper finction to print debug messages'''
print(f'Debug: {colored(message, "red")}',
file=sys.stderr, flush=True)
class ClangTidy2CodeQuality:
'''
Main class to run and convert the results of clang-tidy to the code-quality
format
'''
# 7-bit C1 ANSI sequences
ANSI_ESCAPE = re.compile(r'''
\x1B # ESC
(?: # 7-bit C1 Fe (except CSI)
[@-Z\\-_]
| # or [ for CSI, followed by a control sequence
\[
[0-?]* # Parameter bytes
[ -/]* # Intermediate bytes
[@-~] # Final byte
)
''', re.VERBOSE)
ISSUE_PARSE = re.compile(r'(?P<file>.*\.(cc|hh)):(?P<line>[0-9]+):(?P<column>[0-9]+): (warning|error): (?P<detail>.*) \[(?P<type>.*)\]') # noqa
CLASSIFICATIONS = {
'bugprone': {
'categories': ['Bug Risk'],
'severity': 'major',
},
'modernize': {
'categories': ['Clarity', 'Compatibility', 'Style'],
'severity': 'info'
},
'mpi': {
'categories': ['Bug Risk', 'Performance'],
'severity': 'critical',
},
'openmp': {
'categories': ['Bug Risk', 'Performance'],
'severity': 'critical',
},
'performance': {
'categories': ['Performance'],
'severity': 'minor',
},
'readability': {
'categories': ['Clarity', 'Style'],
'severity': 'info'
},
}
def __init__(self):
self._issues = {}
self._command = ['run-clang-tidy']
self._command.extend(sys.argv[1:])
def run(self):
'''run clang tidy and generage a code quality report'''
print_debug(f'[clang-tidy] command: {self._command}')
self._generate_issues(self._command)
print(json.dumps(self._issues.values()))
@property
def command(self):
'''get the command that is run'''
return self._command
def _get_classifiaction(self, type_):
categories = ['Bug Risk']
severity = 'blocker'
if type_ in self.CLASSIFICATIONS:
categories = self.CLASSIFICATIONS[type_]['categories']
severity = self.CLASSIFICATIONS[type_]['severity']
elif type_[0] == 'clang':
if type_[1] == 'diagnostic':
categories = ['Bug Risk']
severity = 'blocker'
elif type_[1] == 'analyzer':
categories = ['Bug Risk']
severity = 'major'
return (categories, severity)
def _run_command(self, command):
popen = subprocess.Popen(command,
stdout=subprocess.PIPE,
universal_newlines=True)
for stdout_line in iter(popen.stdout.readline, ""):
clean_line = self.ANSI_ESCAPE.sub('', stdout_line).rstrip()
print_debug(clean_line)
yield clean_line
popen.stdout.close()
return_code = popen.wait()
if return_code:
print_debug(
f"[clang-tidy] {command} ReturnCode {return_code}")
def _generate_issues(self, command):
issue = {}
for line in self._run_command(command):
match = self.ISSUE_PARSE.match(line)
if match:
if len(issue) != 0:
self._add_issue(issue)
issue = match.groupdict()
elif issue:
if 'content' in issue:
issue['content'].append(line)
else:
issue['content'] = [line]
self._add_issue(issue)
def _add_issue(self, issue):
issue_ = self._format_issue(issue)
if issue_['fingerprint'] in self._issues:
return
self._issues[issue_['fingerprint']] = issue_
def _format_issue(self, issue_dict):
issue_dict['file'] = os.path.relpath(issue_dict['file'])
issue = {
'type': 'issue',
'check_name': issue_dict['type'],
'description': issue_dict['detail'],
'location': {
"path": issue_dict['file'],
"lines": {
"begin": int(issue_dict['line']),
"end": int(issue_dict['line']),
},
"positions": {
"begin": {
"line": int(issue_dict['line']),
"column": int(issue_dict['column']),
},
"end": {
"line": int(issue_dict['line']),
"column": int(issue_dict['column']),
},
},
},
}
if 'content' in issue_dict:
issue['content'] = {
'body': '```\n' +
'\n'.join(issue_dict['content']) +
'\n```'
}
issue['fingerprint'] = hashlib.md5(
'{file}:{line}:{column}:{type}'.format(**issue_dict).encode()
).hexdigest()
type_ = issue_dict['type'].split('-')[0]
issue['categories'], issue['severity'] = self._get_classifiaction(type_)
return issue
formater = ClangTidy2CodeQuality()
formater.run()
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