Homec4science
Diffusion akantu (bugfixes/macos-compilation-documentation) Browse

rAKA/test/ci/scripts/codequality/issue_generator.py
a052594ac2efbugfixes/macos…

Last Change
Raw File

issue_generator.py
View Options

#!/usr/bin/env python3
from . import print_debug, print_info
import hashlib
import os
import re
import copy
class IssueGenerator:
"""Interface for the issue generators"""
def __init__(self, **kwargs):
self._files = kwargs.pop('file_list', [])
excludes = kwargs.pop('excludes', None)
if excludes is None:
excludes = []
extensions = kwargs.pop('extensions', None)
if extensions is None:
extensions = ['.cc', '.hh']
self._extensions = [
re.compile(r"\{}$".format(extension)) for extension in extensions
]
self._exclude_patterns = [
re.compile(exclude) for exclude in excludes
]
self._issues = {}
self._filter_file_list()
def _filter_file_list(self):
file_list = copy.copy(self._files)
self._files = []
for filename in file_list:
filename = os.path.relpath(filename)
need_exclude = self._need_exclude(filename)
if need_exclude:
print_debug(f'[{self._tool}] exluding file: {filename}')
continue
print_info(f'[{self._tool}] adding file: {filename}')
self._files.append(filename)
def _need_exclude(self, filename):
need_exclude = False
for pattern in self._exclude_patterns:
match = pattern.search(filename)
need_exclude |= bool(match)
match_extension = False
for extension in self._extensions:
match = extension.search(filename)
match_extension |= bool(match)
need_exclude |= not match_extension
return need_exclude
def add_issue(self, unfmt_issue):
"""add an issue to the list if not already present"""
issue = self._format_issue(unfmt_issue)
filepath = issue['location']['path']
if self._need_exclude(filepath):
return
if issue['fingerprint'] in self._issues:
return
self._issues[issue['fingerprint']] = issue
@property
def issues(self):
"""get the list of registered issues"""
return list(self._issues.values())
def _format_issue(self, unfmt_issue):
filepath = os.path.relpath(unfmt_issue['file'])
issue = {
'type': 'issue',
'check_name': unfmt_issue['name'],
'description': unfmt_issue['description'],
'location': {
"path": filepath,
"lines": {
"begin": unfmt_issue['line'],
"end": unfmt_issue['line'],
},
"positions": {
"begin": {
"line": unfmt_issue['line'],
"column": unfmt_issue['column'],
},
'end': {
"line": unfmt_issue['line'],
"column": unfmt_issue['column'],
},
},
},
}
if 'end_line' in unfmt_issue:
issue['location']['positions']['end'] = {
"line": unfmt_issue['end_line'],
"column": unfmt_issue['column'],
}
issue['location']['lines']['end'] = unfmt_issue['end_line']
issue['fingerprint'] = hashlib.md5(
'{file}:{line}:{column}:{type}'.format(
file=filepath,
line=unfmt_issue['line'],
column=unfmt_issue['column'],
type=unfmt_issue['name']).encode()).hexdigest()
issue['categories'], issue['severity'] = \
self._get_classifiaction(unfmt_issue)
print_debug(issue)
return issue
c4science · Help