Page Menu
Home
c4science
Search
Configure Global Search
Log In
Files
F92005500
warnings2code-quality.py
No One
Temporary
Actions
Download File
Edit File
Delete File
View Transforms
Subscribe
Mute Notifications
Award Token
Subscribers
None
File Metadata
Details
File Info
Storage
Attached
Created
Sat, Nov 16, 13:28
Size
3 KB
Mime Type
text/x-python
Expires
Mon, Nov 18, 13:28 (1 d, 23 h)
Engine
blob
Format
Raw Data
Handle
22362271
Attached To
rAKA akantu
warnings2code-quality.py
View Options
#!/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
warning_parser
as
warn
try
:
from
termcolor
import
colored
except
ImportError
:
def
colored
(
text
,
color
):
'''replace colored if not present'''
return
text
def
print_debug
(
message
):
'''helper finction to print debug messages'''
print
(
f
'Debug: {colored(message, "red")}'
,
file
=
sys
.
stderr
,
flush
=
True
)
class
Warnings2CodeQuality
:
'''
Main class to run and convert the results of clang-tidy to the code-quality
format
'''
CLASSIFICATIONS
=
{
'gcc'
:
{
'uninitialized'
:
{
'categories'
:
[
'Bug Risk'
],
'severity'
:
'major'
,
},
'sign-compare'
:
{
'categories'
:
[
'Bug Risk'
],
'severity'
:
'minor'
},
},
}
def
__init__
(
self
):
self
.
_issues
=
{}
self
.
_files
=
sys
.
argv
[
1
:]
def
parse
(
self
):
'''parse warning files'''
compiler_re
=
re
.
compile
(
".*build.*(gcc|clang)-err\.log"
)
for
_file
in
self
.
_files
:
match
=
compiler_re
.
search
(
_file
)
if
not
match
:
continue
compiler
=
match
.
group
(
1
)
warnings
=
warn
.
get_warnings
(
_file
,
compiler
)
self
.
_add_issues
(
warnings
)
@property
def
list_files
(
self
):
'''get the list of files to analyse'''
return
self
.
_files
def
_get_classifiaction
(
self
,
warning
):
categories
=
[
'Clarity'
]
severity
=
'info'
if
warning
.
get_tool
()
in
self
.
CLASSIFICATIONS
:
classifications
=
self
.
CLASSIFICATIONS
[
warning
.
get_tool
()]
if
warning
.
get_category
()
in
classifications
:
cat
=
warning
.
get_category
()
categories
=
classifications
[
cat
][
'categories'
]
severity
=
classifications
[
cat
][
'severity'
]
return
(
categories
,
severity
)
def
_add_issues
(
self
,
warnings
):
for
warning
in
warnings
:
issue_
=
self
.
_format_issue
(
warning
)
if
issue_
[
'fingerprint'
]
in
self
.
_issues
:
continue
self
.
_issues
[
issue_
[
'fingerprint'
]]
=
issue_
def
_format_issue
(
self
,
warning
):
issue
=
{
'type'
:
'issue'
,
'check_name'
:
warning
.
get_category
(),
'description'
:
warning
.
get_message
(),
'location'
:
{
"path"
:
warning
.
get_filepath
(),
"lines"
:
{
"begin"
:
warning
.
get_line
(),
"end"
:
warning
.
get_line
(),
},
"positions"
:
{
"begin"
:
{
"line"
:
warning
.
get_line
(),
"column"
:
warning
.
get_column
(),
},
"end"
:
{
"line"
:
warning
.
get_line
(),
"column"
:
warning
.
get_column
(),
},
},
},
}
issue
[
'fingerprint'
]
=
hashlib
.
md5
(
'{file}:{line}:{column}:{type}'
.
format
(
{
'file'
:
warning
.
get_filepath
(),
'line'
:
warning
.
get_line
(),
'column'
:
warning
.
get_column
(),
'type'
:
warning
.
get_category
()})
.
encode
()
)
.
hexdigest
()
issue
[
'categories'
],
issue
[
'severity'
]
=
self
.
_get_classifiaction
(
warning
)
return
issue
formater
=
Warnings2CodeQuality
()
formater
.
parse
()
Event Timeline
Log In to Comment