mirror of
https://github.com/thegeeklab/ansible-later.git
synced 2024-11-13 00:30:39 +00:00
681 lines
25 KiB
Python
681 lines
25 KiB
Python
"""Checker Manager and Checker classes."""
|
|
import collections
|
|
import errno
|
|
import logging
|
|
import signal
|
|
import sys
|
|
import tokenize
|
|
from typing import List, Optional, Tuple
|
|
|
|
try:
|
|
import multiprocessing
|
|
except ImportError:
|
|
multiprocessing = None
|
|
|
|
from flake8 import defaults
|
|
from flake8 import exceptions
|
|
from flake8 import processor
|
|
from flake8 import utils
|
|
|
|
LOG = logging.getLogger(__name__)
|
|
|
|
SERIAL_RETRY_ERRNOS = {
|
|
# ENOSPC: Added by sigmavirus24
|
|
# > On some operating systems (OSX), multiprocessing may cause an
|
|
# > ENOSPC error while trying to trying to create a Semaphore.
|
|
# > In those cases, we should replace the customized Queue Report
|
|
# > class with pep8's StandardReport class to ensure users don't run
|
|
# > into this problem.
|
|
# > (See also: https://gitlab.com/pycqa/flake8/issues/74)
|
|
errno.ENOSPC,
|
|
# NOTE(sigmavirus24): When adding to this list, include the reasoning
|
|
# on the lines before the error code and always append your error
|
|
# code. Further, please always add a trailing `,` to reduce the visual
|
|
# noise in diffs.
|
|
}
|
|
|
|
|
|
class Manager(object):
|
|
"""Manage the parallelism and checker instances for each plugin and file.
|
|
|
|
This class will be responsible for the following:
|
|
|
|
- Determining the parallelism of Flake8, e.g.:
|
|
|
|
* Do we use :mod:`multiprocessing` or is it unavailable?
|
|
|
|
* Do we automatically decide on the number of jobs to use or did the
|
|
user provide that?
|
|
|
|
- Falling back to a serial way of processing files if we run into an
|
|
OSError related to :mod:`multiprocessing`
|
|
|
|
- Organizing the results of each checker so we can group the output
|
|
together and make our output deterministic.
|
|
"""
|
|
|
|
def __init__(self, style_guide, arguments, checker_plugins):
|
|
"""Initialize our Manager instance.
|
|
|
|
:param style_guide:
|
|
The instantiated style guide for this instance of Flake8.
|
|
:type style_guide:
|
|
flake8.style_guide.StyleGuide
|
|
:param list arguments:
|
|
The extra arguments parsed from the CLI (if any)
|
|
:param checker_plugins:
|
|
The plugins representing checks parsed from entry-points.
|
|
:type checker_plugins:
|
|
flake8.plugins.manager.Checkers
|
|
"""
|
|
self.arguments = arguments
|
|
self.style_guide = style_guide
|
|
self.options = style_guide.options
|
|
self.checks = checker_plugins
|
|
self.jobs = self._job_count()
|
|
self.processes = []
|
|
self.checkers = []
|
|
self.statistics = {
|
|
"files": 0,
|
|
"logical lines": 0,
|
|
"physical lines": 0,
|
|
"tokens": 0,
|
|
}
|
|
|
|
def _process_statistics(self):
|
|
for checker in self.checkers:
|
|
for statistic in defaults.STATISTIC_NAMES:
|
|
self.statistics[statistic] += checker.statistics[statistic]
|
|
self.statistics["files"] += len(self.checkers)
|
|
|
|
def _job_count(self):
|
|
# type: () -> int
|
|
# First we walk through all of our error cases:
|
|
# - multiprocessing library is not present
|
|
# - we're running on windows in which case we know we have significant
|
|
# implemenation issues
|
|
# - the user provided stdin and that's not something we can handle
|
|
# well
|
|
# - we're processing a diff, which again does not work well with
|
|
# multiprocessing and which really shouldn't require multiprocessing
|
|
# - the user provided some awful input
|
|
if not multiprocessing:
|
|
LOG.warning(
|
|
"The multiprocessing module is not available. "
|
|
"Ignoring --jobs arguments."
|
|
)
|
|
return 0
|
|
|
|
if (
|
|
utils.is_windows()
|
|
and not utils.can_run_multiprocessing_on_windows()
|
|
):
|
|
LOG.warning(
|
|
"The --jobs option is not available on Windows due to"
|
|
" a bug (https://bugs.python.org/issue27649) in "
|
|
"Python 2.7.11+ and 3.3+. We have detected that you "
|
|
"are running an unsupported version of Python on "
|
|
"Windows. Ignoring --jobs arguments."
|
|
)
|
|
return 0
|
|
|
|
if utils.is_using_stdin(self.arguments):
|
|
LOG.warning(
|
|
"The --jobs option is not compatible with supplying "
|
|
"input using - . Ignoring --jobs arguments."
|
|
)
|
|
return 0
|
|
|
|
if self.options.diff:
|
|
LOG.warning(
|
|
"The --diff option was specified with --jobs but "
|
|
"they are not compatible. Ignoring --jobs arguments."
|
|
)
|
|
return 0
|
|
|
|
jobs = self.options.jobs
|
|
if jobs != "auto" and not jobs.isdigit():
|
|
LOG.warning(
|
|
'"%s" is not a valid parameter to --jobs. Must be one '
|
|
'of "auto" or a numerical value, e.g., 4.',
|
|
jobs,
|
|
)
|
|
return 0
|
|
|
|
# If the value is "auto", we want to let the multiprocessing library
|
|
# decide the number based on the number of CPUs. However, if that
|
|
# function is not implemented for this particular value of Python we
|
|
# default to 1
|
|
if jobs == "auto":
|
|
try:
|
|
return multiprocessing.cpu_count()
|
|
except NotImplementedError:
|
|
return 0
|
|
|
|
# Otherwise, we know jobs should be an integer and we can just convert
|
|
# it to an integer
|
|
return int(jobs)
|
|
|
|
def _handle_results(self, filename, results):
|
|
style_guide = self.style_guide
|
|
reported_results_count = 0
|
|
for (error_code, line_number, column, text, physical_line) in results:
|
|
reported_results_count += style_guide.handle_error(
|
|
code=error_code,
|
|
filename=filename,
|
|
line_number=line_number,
|
|
column_number=column,
|
|
text=text,
|
|
physical_line=physical_line,
|
|
)
|
|
return reported_results_count
|
|
|
|
def is_path_excluded(self, path):
|
|
# type: (str) -> bool
|
|
"""Check if a path is excluded.
|
|
|
|
:param str path:
|
|
Path to check against the exclude patterns.
|
|
:returns:
|
|
True if there are exclude patterns and the path matches,
|
|
otherwise False.
|
|
:rtype:
|
|
bool
|
|
"""
|
|
if path == "-":
|
|
if self.options.stdin_display_name == "stdin":
|
|
return False
|
|
path = self.options.stdin_display_name
|
|
|
|
return utils.matches_filename(
|
|
path,
|
|
patterns=self.options.exclude,
|
|
log_message='"%(path)s" has %(whether)sbeen excluded',
|
|
logger=LOG,
|
|
)
|
|
|
|
def make_checkers(self, paths=None):
|
|
# type: (List[str]) -> None
|
|
"""Create checkers for each file."""
|
|
if paths is None:
|
|
paths = self.arguments
|
|
|
|
if not paths:
|
|
paths = ["."]
|
|
|
|
filename_patterns = self.options.filename
|
|
running_from_vcs = self.options._running_from_vcs
|
|
running_from_diff = self.options.diff
|
|
|
|
# NOTE(sigmavirus24): Yes this is a little unsightly, but it's our
|
|
# best solution right now.
|
|
def should_create_file_checker(filename, argument):
|
|
"""Determine if we should create a file checker."""
|
|
matches_filename_patterns = utils.fnmatch(
|
|
filename, filename_patterns
|
|
)
|
|
is_stdin = filename == "-"
|
|
# NOTE(sigmavirus24): If a user explicitly specifies something,
|
|
# e.g, ``flake8 bin/script`` then we should run Flake8 against
|
|
# that. Since should_create_file_checker looks to see if the
|
|
# filename patterns match the filename, we want to skip that in
|
|
# the event that the argument and the filename are identical.
|
|
# If it was specified explicitly, the user intended for it to be
|
|
# checked.
|
|
explicitly_provided = (
|
|
not running_from_vcs
|
|
and not running_from_diff
|
|
and (argument == filename)
|
|
)
|
|
return (
|
|
explicitly_provided or matches_filename_patterns
|
|
) or is_stdin
|
|
|
|
checks = self.checks.to_dictionary()
|
|
checkers = (
|
|
FileChecker(filename, checks, self.options)
|
|
for argument in paths
|
|
for filename in utils.filenames_from(
|
|
argument, self.is_path_excluded
|
|
)
|
|
if should_create_file_checker(filename, argument)
|
|
)
|
|
self.checkers = [
|
|
checker for checker in checkers if checker.should_process
|
|
]
|
|
LOG.info("Checking %d files", len(self.checkers))
|
|
|
|
def report(self):
|
|
# type: () -> Tuple[int, int]
|
|
"""Report all of the errors found in the managed file checkers.
|
|
|
|
This iterates over each of the checkers and reports the errors sorted
|
|
by line number.
|
|
|
|
:returns:
|
|
A tuple of the total results found and the results reported.
|
|
:rtype:
|
|
tuple(int, int)
|
|
"""
|
|
results_reported = results_found = 0
|
|
for checker in self.checkers:
|
|
results = sorted(
|
|
checker.results, key=lambda tup: (tup[1], tup[2])
|
|
)
|
|
filename = checker.display_name
|
|
with self.style_guide.processing_file(filename):
|
|
results_reported += self._handle_results(filename, results)
|
|
results_found += len(results)
|
|
return (results_found, results_reported)
|
|
|
|
def run_parallel(self):
|
|
"""Run the checkers in parallel."""
|
|
final_results = collections.defaultdict(list)
|
|
final_statistics = collections.defaultdict(dict)
|
|
|
|
try:
|
|
pool = multiprocessing.Pool(self.jobs, _pool_init)
|
|
except OSError as oserr:
|
|
if oserr.errno not in SERIAL_RETRY_ERRNOS:
|
|
raise
|
|
self.run_serial()
|
|
return
|
|
|
|
try:
|
|
pool_map = pool.imap_unordered(
|
|
_run_checks,
|
|
self.checkers,
|
|
chunksize=calculate_pool_chunksize(
|
|
len(self.checkers), self.jobs
|
|
),
|
|
)
|
|
for ret in pool_map:
|
|
filename, results, statistics = ret
|
|
final_results[filename] = results
|
|
final_statistics[filename] = statistics
|
|
pool.close()
|
|
pool.join()
|
|
pool = None
|
|
finally:
|
|
if pool is not None:
|
|
pool.terminate()
|
|
pool.join()
|
|
|
|
for checker in self.checkers:
|
|
filename = checker.display_name
|
|
checker.results = sorted(
|
|
final_results[filename], key=lambda tup: (tup[2], tup[2])
|
|
)
|
|
checker.statistics = final_statistics[filename]
|
|
|
|
def run_serial(self):
|
|
"""Run the checkers in serial."""
|
|
for checker in self.checkers:
|
|
checker.run_checks()
|
|
|
|
def run(self):
|
|
"""Run all the checkers.
|
|
|
|
This will intelligently decide whether to run the checks in parallel
|
|
or whether to run them in serial.
|
|
|
|
If running the checks in parallel causes a problem (e.g.,
|
|
https://gitlab.com/pycqa/flake8/issues/74) this also implements
|
|
fallback to serial processing.
|
|
"""
|
|
try:
|
|
if self.jobs > 1 and len(self.checkers) > 1:
|
|
self.run_parallel()
|
|
else:
|
|
self.run_serial()
|
|
except KeyboardInterrupt:
|
|
LOG.warning("Flake8 was interrupted by the user")
|
|
raise exceptions.EarlyQuit("Early quit while running checks")
|
|
|
|
def start(self, paths=None):
|
|
"""Start checking files.
|
|
|
|
:param list paths:
|
|
Path names to check. This is passed directly to
|
|
:meth:`~Manager.make_checkers`.
|
|
"""
|
|
LOG.info("Making checkers")
|
|
self.make_checkers(paths)
|
|
|
|
def stop(self):
|
|
"""Stop checking files."""
|
|
self._process_statistics()
|
|
for proc in self.processes:
|
|
LOG.info("Joining %s to the main process", proc.name)
|
|
proc.join()
|
|
|
|
|
|
class FileChecker(object):
|
|
"""Manage running checks for a file and aggregate the results."""
|
|
|
|
def __init__(self, filename, checks, options):
|
|
"""Initialize our file checker.
|
|
|
|
:param str filename:
|
|
Name of the file to check.
|
|
:param checks:
|
|
The plugins registered to check the file.
|
|
:type checks:
|
|
dict
|
|
:param options:
|
|
Parsed option values from config and command-line.
|
|
:type options:
|
|
optparse.Values
|
|
"""
|
|
self.options = options
|
|
self.filename = filename
|
|
self.checks = checks
|
|
self.results = []
|
|
self.statistics = {
|
|
"tokens": 0,
|
|
"logical lines": 0,
|
|
"physical lines": 0,
|
|
}
|
|
self.processor = self._make_processor()
|
|
self.display_name = filename
|
|
self.should_process = False
|
|
if self.processor is not None:
|
|
self.display_name = self.processor.filename
|
|
self.should_process = not self.processor.should_ignore_file()
|
|
self.statistics["physical lines"] = len(self.processor.lines)
|
|
|
|
def __repr__(self):
|
|
"""Provide helpful debugging representation."""
|
|
return "FileChecker for {}".format(self.filename)
|
|
|
|
def _make_processor(self):
|
|
try:
|
|
return processor.FileProcessor(self.filename, self.options)
|
|
except IOError:
|
|
# If we can not read the file due to an IOError (e.g., the file
|
|
# does not exist or we do not have the permissions to open it)
|
|
# then we need to format that exception for the user.
|
|
# NOTE(sigmavirus24): Historically, pep8 has always reported this
|
|
# as an E902. We probably *want* a better error code for this
|
|
# going forward.
|
|
(exc_type, exception) = sys.exc_info()[:2]
|
|
message = "{0}: {1}".format(exc_type.__name__, exception)
|
|
self.report("E902", 0, 0, message)
|
|
return None
|
|
|
|
def report(self, error_code, line_number, column, text, line=None):
|
|
# type: (str, int, int, str, Optional[str]) -> str
|
|
"""Report an error by storing it in the results list."""
|
|
if error_code is None:
|
|
error_code, text = text.split(" ", 1)
|
|
|
|
physical_line = line
|
|
# If we're recovering from a problem in _make_processor, we will not
|
|
# have this attribute.
|
|
if not physical_line and getattr(self, "processor", None):
|
|
physical_line = self.processor.line_for(line_number)
|
|
|
|
error = (error_code, line_number, column, text, physical_line)
|
|
self.results.append(error)
|
|
return error_code
|
|
|
|
def run_check(self, plugin, **arguments):
|
|
"""Run the check in a single plugin."""
|
|
LOG.debug("Running %r with %r", plugin, arguments)
|
|
try:
|
|
self.processor.keyword_arguments_for(
|
|
plugin["parameters"], arguments
|
|
)
|
|
except AttributeError as ae:
|
|
LOG.error("Plugin requested unknown parameters.")
|
|
raise exceptions.PluginRequestedUnknownParameters(
|
|
plugin=plugin, exception=ae
|
|
)
|
|
try:
|
|
return plugin["plugin"](**arguments)
|
|
except Exception as all_exc:
|
|
LOG.critical(
|
|
"Plugin %s raised an unexpected exception", plugin["name"]
|
|
)
|
|
raise exceptions.PluginExecutionFailed(
|
|
plugin=plugin, exception=all_exc
|
|
)
|
|
|
|
@staticmethod
|
|
def _extract_syntax_information(exception):
|
|
token = ()
|
|
if len(exception.args) > 1:
|
|
token = exception.args[1]
|
|
if len(token) > 2:
|
|
row, column = token[1:3]
|
|
else:
|
|
row, column = (1, 0)
|
|
|
|
if column > 0 and token and isinstance(exception, SyntaxError):
|
|
# NOTE(sigmavirus24): SyntaxErrors report 1-indexed column
|
|
# numbers. We need to decrement the column number by 1 at
|
|
# least.
|
|
column_offset = 1
|
|
row_offset = 0
|
|
# See also: https://gitlab.com/pycqa/flake8/issues/237
|
|
physical_line = token[-1]
|
|
|
|
# NOTE(sigmavirus24): Not all "tokens" have a string as the last
|
|
# argument. In this event, let's skip trying to find the correct
|
|
# column and row values.
|
|
if physical_line is not None:
|
|
# NOTE(sigmavirus24): SyntaxErrors also don't exactly have a
|
|
# "physical" line so much as what was accumulated by the point
|
|
# tokenizing failed.
|
|
# See also: https://gitlab.com/pycqa/flake8/issues/237
|
|
lines = physical_line.rstrip("\n").split("\n")
|
|
row_offset = len(lines) - 1
|
|
logical_line = lines[0]
|
|
logical_line_length = len(logical_line)
|
|
if column > logical_line_length:
|
|
column = logical_line_length
|
|
row -= row_offset
|
|
column -= column_offset
|
|
return row, column
|
|
|
|
def run_ast_checks(self):
|
|
"""Run all checks expecting an abstract syntax tree."""
|
|
try:
|
|
ast = self.processor.build_ast()
|
|
except (ValueError, SyntaxError, TypeError):
|
|
(exc_type, exception) = sys.exc_info()[:2]
|
|
row, column = self._extract_syntax_information(exception)
|
|
self.report(
|
|
"E999",
|
|
row,
|
|
column,
|
|
"%s: %s" % (exc_type.__name__, exception.args[0]),
|
|
)
|
|
return
|
|
|
|
for plugin in self.checks["ast_plugins"]:
|
|
checker = self.run_check(plugin, tree=ast)
|
|
# If the plugin uses a class, call the run method of it, otherwise
|
|
# the call should return something iterable itself
|
|
try:
|
|
runner = checker.run()
|
|
except AttributeError:
|
|
runner = checker
|
|
for (line_number, offset, text, check) in runner:
|
|
self.report(
|
|
error_code=None,
|
|
line_number=line_number,
|
|
column=offset,
|
|
text=text,
|
|
)
|
|
|
|
def run_logical_checks(self):
|
|
"""Run all checks expecting a logical line."""
|
|
comments, logical_line, mapping = self.processor.build_logical_line()
|
|
if not mapping:
|
|
return
|
|
self.processor.update_state(mapping)
|
|
|
|
LOG.debug('Logical line: "%s"', logical_line.rstrip())
|
|
|
|
for plugin in self.checks["logical_line_plugins"]:
|
|
self.processor.update_checker_state_for(plugin)
|
|
results = self.run_check(plugin, logical_line=logical_line) or ()
|
|
for offset, text in results:
|
|
offset = find_offset(offset, mapping)
|
|
line_number, column_offset = offset
|
|
self.report(
|
|
error_code=None,
|
|
line_number=line_number,
|
|
column=column_offset,
|
|
text=text,
|
|
)
|
|
|
|
self.processor.next_logical_line()
|
|
|
|
def run_physical_checks(self, physical_line, override_error_line=None):
|
|
"""Run all checks for a given physical line.
|
|
|
|
A single physical check may return multiple errors.
|
|
"""
|
|
for plugin in self.checks["physical_line_plugins"]:
|
|
self.processor.update_checker_state_for(plugin)
|
|
result = self.run_check(plugin, physical_line=physical_line)
|
|
|
|
if result is not None:
|
|
# This is a single result if first element is an int
|
|
column_offset = None
|
|
try:
|
|
column_offset = result[0]
|
|
except (IndexError, TypeError):
|
|
pass
|
|
|
|
if isinstance(column_offset, int):
|
|
# If we only have a single result, convert to a collection
|
|
result = (result,)
|
|
|
|
for result_single in result:
|
|
column_offset, text = result_single
|
|
error_code = self.report(
|
|
error_code=None,
|
|
line_number=self.processor.line_number,
|
|
column=column_offset,
|
|
text=text,
|
|
line=(override_error_line or physical_line),
|
|
)
|
|
self.processor.check_physical_error(
|
|
error_code, physical_line
|
|
)
|
|
|
|
def process_tokens(self):
|
|
"""Process tokens and trigger checks.
|
|
|
|
This can raise a :class:`flake8.exceptions.InvalidSyntax` exception.
|
|
Instead of using this directly, you should use
|
|
:meth:`flake8.checker.FileChecker.run_checks`.
|
|
"""
|
|
parens = 0
|
|
statistics = self.statistics
|
|
file_processor = self.processor
|
|
for token in file_processor.generate_tokens():
|
|
statistics["tokens"] += 1
|
|
self.check_physical_eol(token)
|
|
token_type, text = token[0:2]
|
|
processor.log_token(LOG, token)
|
|
if token_type == tokenize.OP:
|
|
parens = processor.count_parentheses(parens, text)
|
|
elif parens == 0:
|
|
if processor.token_is_newline(token):
|
|
self.handle_newline(token_type)
|
|
|
|
if file_processor.tokens:
|
|
# If any tokens are left over, process them
|
|
self.run_physical_checks(file_processor.lines[-1])
|
|
self.run_logical_checks()
|
|
|
|
def run_checks(self):
|
|
"""Run checks against the file."""
|
|
try:
|
|
self.process_tokens()
|
|
except exceptions.InvalidSyntax as exc:
|
|
self.report(
|
|
exc.error_code,
|
|
exc.line_number,
|
|
exc.column_number,
|
|
exc.error_message,
|
|
)
|
|
|
|
self.run_ast_checks()
|
|
|
|
logical_lines = self.processor.statistics["logical lines"]
|
|
self.statistics["logical lines"] = logical_lines
|
|
return self.filename, self.results, self.statistics
|
|
|
|
def handle_newline(self, token_type):
|
|
"""Handle the logic when encountering a newline token."""
|
|
if token_type == tokenize.NEWLINE:
|
|
self.run_logical_checks()
|
|
self.processor.reset_blank_before()
|
|
elif len(self.processor.tokens) == 1:
|
|
# The physical line contains only this token.
|
|
self.processor.visited_new_blank_line()
|
|
self.processor.delete_first_token()
|
|
else:
|
|
self.run_logical_checks()
|
|
|
|
def check_physical_eol(self, token):
|
|
"""Run physical checks if and only if it is at the end of the line."""
|
|
if processor.is_eol_token(token):
|
|
# Obviously, a newline token ends a single physical line.
|
|
self.run_physical_checks(token[4])
|
|
elif processor.is_multiline_string(token):
|
|
# Less obviously, a string that contains newlines is a
|
|
# multiline string, either triple-quoted or with internal
|
|
# newlines backslash-escaped. Check every physical line in the
|
|
# string *except* for the last one: its newline is outside of
|
|
# the multiline string, so we consider it a regular physical
|
|
# line, and will check it like any other physical line.
|
|
#
|
|
# Subtleties:
|
|
# - have to wind self.line_number back because initially it
|
|
# points to the last line of the string, and we want
|
|
# check_physical() to give accurate feedback
|
|
line_no = token[2][0]
|
|
with self.processor.inside_multiline(line_number=line_no):
|
|
for line in self.processor.split_line(token):
|
|
self.run_physical_checks(
|
|
line + "\n", override_error_line=token[4]
|
|
)
|
|
|
|
|
|
def _pool_init():
|
|
"""Ensure correct signaling of ^C using multiprocessing.Pool."""
|
|
signal.signal(signal.SIGINT, signal.SIG_IGN)
|
|
|
|
|
|
def calculate_pool_chunksize(num_checkers, num_jobs):
|
|
"""Determine the chunksize for the multiprocessing Pool.
|
|
|
|
- For chunksize, see: https://docs.python.org/3/library/multiprocessing.html#multiprocessing.pool.Pool.imap # noqa
|
|
- This formula, while not perfect, aims to give each worker two batches of
|
|
work.
|
|
- See: https://gitlab.com/pycqa/flake8/merge_requests/156#note_18878876
|
|
- See: https://gitlab.com/pycqa/flake8/issues/265
|
|
"""
|
|
return max(num_checkers // (num_jobs * 2), 1)
|
|
|
|
|
|
def _run_checks(checker):
|
|
return checker.run_checks()
|
|
|
|
|
|
def find_offset(offset, mapping):
|
|
"""Find the offset tuple for a single offset."""
|
|
if isinstance(offset, tuple):
|
|
return offset
|
|
|
|
for token_offset, position in mapping:
|
|
if offset <= token_offset:
|
|
break
|
|
return (position[0], position[1] + offset - token_offset)
|