yield_ignore_ranges() - Code Metrics - coala-analyzer/coala - Measure and Improve Code Quality continuously with Scrutinizer

yield_ignore_ranges() F
last analyzed 2016-09-16 10:08 UTC

↳ Parent: Project
Complexity

Conditions
Size

Total Lines
Duplication

Lines	0
Ratio	0 %
Importance

Changes
Metric	Value
cc	10
dl	0
loc	44
rs	3.1304
c	0
b	0
f	0
How to fix Complexity

import multiprocessing
import os
import platform
import queue
import subprocess
from itertools import chain

from coalib.collecting import Dependencies

from coalib.collecting.Collectors import collect_files
from coala_utils.string_processing.StringConverter import StringConverter
from coalib.output.printers.LOG_LEVEL import LOG_LEVEL
from coalib.processes.BearRunning import run
from coalib.processes.CONTROL_ELEMENT import CONTROL_ELEMENT
from coalib.processes.LogPrinterThread import LogPrinterThread
from coalib.results.Result import Result
from coalib.results.result_actions.ApplyPatchAction import ApplyPatchAction
from coalib.results.result_actions.PrintDebugMessageAction import (
    PrintDebugMessageAction)
from coalib.results.result_actions.ShowPatchAction import ShowPatchAction
from coalib.results.RESULT_SEVERITY import RESULT_SEVERITY
from coalib.results.SourceRange import SourceRange
from coalib.settings.Setting import glob_list
from coalib.parsing.Globbing import fnmatch


ACTIONS = [ApplyPatchAction,
           PrintDebugMessageAction,
           ShowPatchAction]


def get_cpu_count():
    try:
        return multiprocessing.cpu_count()
    # cpu_count is not implemented for some CPU architectures/OSes
    except NotImplementedError:  # pragma: no cover
        return 2


def fill_queue(queue_fill, any_list):
    """
    Takes element from a list and populates a queue with those elements.

    :param queue_fill: The queue to be filled.
    :param any_list:   List containing the elements.
    """
    for elem in any_list:
        queue_fill.put(elem)


def get_running_processes(processes):
    return sum((1 if process.is_alive() else 0) for process in processes)


def create_process_group(command_array, **kwargs):
    if platform.system() == "Windows":  # pragma: no cover
        proc = subprocess.Popen(
            command_array,
            creationflags=subprocess.CREATE_NEW_PROCESS_GROUP,
            **kwargs)
    else:
        proc = subprocess.Popen(command_array,
                                preexec_fn=os.setsid,
                                **kwargs)
    return proc


def get_default_actions(section):
    """
    Parses the key ``default_actions`` in the given section.

    :param section:    The section where to parse from.
    :return:           A dict with the bearname as keys and their default
                       actions as values and another dict that contains bears
                       and invalid action names.
    """
    try:
        default_actions = dict(section["default_actions"])
    except IndexError:
        return {}, {}

    action_dict = {action.get_metadata().name: action for action in ACTIONS}
    invalid_action_set = default_actions.values() - action_dict.keys()
    invalid_actions = {}
    if len(invalid_action_set) != 0:
        invalid_actions = {
            bear: action
            for bear, action in default_actions.items()
            if action in invalid_action_set}
        for invalid in invalid_actions.keys():
            del default_actions[invalid]

    actions = {bearname: action_dict[action_name]
               for bearname, action_name in default_actions.items()}
    return actions, invalid_actions


def autoapply_actions(results,
                      file_dict,
                      file_diff_dict,
                      section,
                      log_printer):
    """
    Auto-applies actions like defined in the given section.

    :param results:        A list of results.
    :param file_dict:      A dictionary containing the name of files and its
                           contents.
    :param file_diff_dict: A dictionary that contains filenames as keys and
                           diff objects as values.
    :param section:        The section.
    :param log_printer:    A log printer instance to log messages on.
    :return:               A list of unprocessed results.
    """

    default_actions, invalid_actions = get_default_actions(section)

    for bearname, actionname in invalid_actions.items():
        log_printer.warn("Selected default action {!r} for bear {!r} does "
                         "not exist. Ignoring action.".format(actionname,
                                                              bearname))

    if len(default_actions) == 0:
        # There's nothing to auto-apply.
        return results

    not_processed_results = []
    for result in results:
        try:
            # Match full bear names deterministically, prioritized!
            action = default_actions[result.origin]
        except KeyError:
            for bear_glob in default_actions:
                if fnmatch(result.origin, bear_glob):
                    action = default_actions[bear_glob]
                    break
            else:
                not_processed_results.append(result)
                continue

        if not action.is_applicable(result, file_dict, file_diff_dict):
            log_printer.warn("Selected default action {!r} for bear {!r} is "
                             "not applicable. Action not applied.".format(
                                 action.get_metadata().name, result.origin))
            not_processed_results.append(result)
            continue

        try:
            action().apply_from_section(result,
                                        file_dict,
                                        file_diff_dict,
                                        section)
            log_printer.info("Applied {!r} on {} from {!r}.".format(
                action.get_metadata().name,
                result.location_repr(),
                result.origin))
        except Exception as ex:
            not_processed_results.append(result)
            log_printer.log_exception(
                "Failed to execute action {!r} with error: {}.".format(
                    action.get_metadata().name, ex),
                ex)
            log_printer.debug("-> for result " + repr(result) + ".")

    return not_processed_results


def check_result_ignore(result, ignore_ranges):
    """
    Determines if the result has to be ignored.

    :param result:        The result that needs to be checked.
    :param ignore_ranges: A list of tuples, each containing a list of lower
                          cased affected bearnames and a SourceRange to
                          ignore. If any of the bearname lists is empty, it
                          is considered an ignore range for all bears.
                          This may be a list of globbed bear wildcards.
    :return:              True if the result has to be ignored.
    """
    for bears, range in ignore_ranges:
        orig = result.origin.lower()
        if (result.overlaps(range) and
                (len(bears) == 0 or orig in bears or fnmatch(orig, bears))):
            return True

    return False


def print_result(results,
                 file_dict,
                 retval,
                 print_results,
                 section,
                 log_printer,
                 file_diff_dict,
                 ignore_ranges):
    """
    Takes the results produced by each bear and gives them to the print_results
    method to present to the user.

    :param results:        A list of results.
    :param file_dict:      A dictionary containing the name of files and its
                           contents.
    :param retval:         It is True if no results were yielded ever before.
                           If it is False this function will return False no
                           matter what happens. Else it depends on if this
                           invocation yields results.
    :param print_results:  A function that prints all given results appropriate
                           to the output medium.
    :param file_diff_dict: A dictionary that contains filenames as keys and
                           diff objects as values.
    :param ignore_ranges:  A list of SourceRanges. Results that affect code in
                           any of those ranges will be ignored.
    :return:               Returns False if any results were yielded. Else
                           True.
    """
    min_severity_str = str(section.get('min_severity', 'INFO')).upper()
    min_severity = RESULT_SEVERITY.str_dict.get(min_severity_str, 'INFO')
    results = list(filter(lambda result:
                          type(result) is Result and
                          result.severity >= min_severity and
                          not check_result_ignore(result, ignore_ranges),
                          results))

    if bool(section.get('autoapply', 'true')):
        patched_results = autoapply_actions(results,
                                            file_dict,
                                            file_diff_dict,
                                            section,
                                            log_printer)
    else:
        patched_results = results

    print_results(log_printer,
                  section,
                  patched_results,
                  file_dict,
                  file_diff_dict)
    return retval or len(results) > 0, patched_results


def get_file_dict(filename_list, log_printer):
    """
    Reads all files into a dictionary.

    :param filename_list: List of names of paths to files to get contents of.
    :param log_printer:   The logger which logs errors.
    :return:              Reads the content of each file into a dictionary
                          with filenames as keys.
    """
    file_dict = {}
    for filename in filename_list:
        try:
            with open(filename, "r", encoding="utf-8") as _file:
                file_dict[filename] = tuple(_file.readlines())
        except UnicodeDecodeError:
            log_printer.warn("Failed to read file '{}'. It seems to contain "
                             "non-unicode characters. Leaving it "
                             "out.".format(filename))
        except OSError as exception:  # pragma: no cover
            log_printer.log_exception("Failed to read file '{}' because of "
                                      "an unknown error. Leaving it "
                                      "out.".format(filename),
                                      exception,
                                      log_level=LOG_LEVEL.WARNING)

    log_printer.debug("Files that will be checked:\n" +
                      "\n".join(file_dict.keys()))
    return file_dict


def filter_raising_callables(it, exception, *args, **kwargs):
    """
    Filters all callable items inside the given iterator that raise the
    given exceptions.

    :param it:        The iterator to filter.
    :param exception: The (tuple of) exception(s) to filter for.
    :param args:      Positional arguments to pass to the callable.
    :param kwargs:    Keyword arguments to pass to the callable.
    """
    for elem in it:
        try:
            yield elem(*args, **kwargs)
        except exception:
            pass


def instantiate_bears(section,
                      local_bear_list,
                      global_bear_list,
                      file_dict,
                      message_queue):
    """
    Instantiates each bear with the arguments it needs.

    :param section:          The section the bears belong to.
    :param local_bear_list:  List of local bear classes to instantiate.
    :param global_bear_list: List of global bear classes to instantiate.
    :param file_dict:        Dictionary containing filenames and their
                             contents.
    :param message_queue:    Queue responsible to maintain the messages
                             delivered by the bears.
    :return:                 The local and global bear instance lists.
    """
    local_bear_list = [bear
                       for bear in filter_raising_callables(
                           local_bear_list,
                           RuntimeError,
                           section,
                           message_queue,
                           timeout=0.1)]

    global_bear_list = [bear
                        for bear in filter_raising_callables(
                            global_bear_list,
                            RuntimeError,
                            file_dict,
                            section,
                            message_queue,
                            timeout=0.1)]

    return local_bear_list, global_bear_list


def instantiate_processes(section,
                          local_bear_list,
                          global_bear_list,
                          job_count,
                          cache,
                          log_printer):
    """
    Instantiate the number of processes that will run bears which will be
    responsible for running bears in a multiprocessing environment.

    :param section:          The section the bears belong to.
    :param local_bear_list:  List of local bears belonging to the section.
    :param global_bear_list: List of global bears belonging to the section.
    :param job_count:        Max number of processes to create.
    :param cache:            An instance of ``misc.Caching.FileCache`` to use as
                             a file cache buffer.
    :param log_printer:      The log printer to warn to.
    :return:                 A tuple containing a list of processes,
                             and the arguments passed to each process which are
                             the same for each object.
    """
    filename_list = collect_files(
        glob_list(section.get('files', "")),
        log_printer,
        ignored_file_paths=glob_list(section.get('ignore', "")),
        limit_file_paths=glob_list(section.get('limit_files', "")))

    # This stores all matched files irrespective of whether coala is run
    # only on changed files or not. Global bears require all the files
    complete_filename_list = filename_list

    # Start tracking all the files
    if cache:
        cache.track_files(set(complete_filename_list))
        changed_files = cache.get_uncached_files(
            set(filename_list)) if cache else filename_list

        # If caching is enabled then the local bears should process only the
        # changed files.
        log_printer.debug("coala is run only on changed files, bears' log "
                          "messages from previous runs may not appear. You may "
                          "use the `--flush-cache` flag to see them.")
        filename_list = changed_files

    # Note: the complete file dict is given as the file dict to bears and
    # the whole project is accessible to every bear. However, local bears are
    # run only for the changed files if caching is enabled.
    complete_file_dict = get_file_dict(complete_filename_list, log_printer)
    file_dict = {filename: complete_file_dict[filename]
                 for filename in filename_list
                 if filename in complete_file_dict}

    manager = multiprocessing.Manager()
    global_bear_queue = multiprocessing.Queue()
    filename_queue = multiprocessing.Queue()
    local_result_dict = manager.dict()
    global_result_dict = manager.dict()
    message_queue = multiprocessing.Queue()
    control_queue = multiprocessing.Queue()

    bear_runner_args = {"file_name_queue": filename_queue,
                        "local_bear_list": local_bear_list,
                        "global_bear_list": global_bear_list,
                        "global_bear_queue": global_bear_queue,
                        "file_dict": file_dict,
                        "local_result_dict": local_result_dict,
                        "global_result_dict": global_result_dict,
                        "message_queue": message_queue,
                        "control_queue": control_queue,
                        "timeout": 0.1}

    local_bear_list[:], global_bear_list[:] = instantiate_bears(
        section,
        local_bear_list,
        global_bear_list,
        complete_file_dict,
        message_queue)

    fill_queue(filename_queue, file_dict.keys())
    fill_queue(global_bear_queue, range(len(global_bear_list)))

    return ([multiprocessing.Process(target=run, kwargs=bear_runner_args)
             for i in range(job_count)],
            bear_runner_args)


def get_ignore_scope(line, keyword):
    """
    Retrieves the bears that are to be ignored defined in the given line.

    :param line:    The line containing the ignore declaration.
    :param keyword: The keyword that was found. Everything after the rightmost
                    occurrence of it will be considered for the scope.
    :return:        A list of lower cased bearnames or an empty list (-> "all")
    """
    toignore = line[line.rfind(keyword) + len(keyword):]
    if toignore.startswith("all"):
        return []
    else:
        return list(StringConverter(toignore, list_delimiters=', '))


def yield_ignore_ranges(file_dict):
    """
    Yields tuples of affected bears and a SourceRange that shall be ignored for
    those.

    :param file_dict: The file dictionary.
    """
    for filename, file in file_dict.items():
        start = None
        bears = []
        stop_ignoring = False
        for line_number, line in enumerate(file, start=1):
            # Before lowering all lines ever read, first look for the biggest
            # common substring, case sensitive: I*gnor*e, start i*gnor*ing.
            if 'gnor' in line:
                line = line.lower()
                if "start ignoring " in line:
                    start = line_number
                    bears = get_ignore_scope(line, "start ignoring ")
                elif "stop ignoring" in line:
                    stop_ignoring = True
                    if start:
                        yield (bears,
                               SourceRange.from_values(
                                   filename,
                                   start,
                                   1,
                                   line_number,
                                   len(file[line_number-1])))
                elif "ignore " in line:
                    end_line = min(line_number + 1, len(file))
                    yield (get_ignore_scope(line, "ignore "),
                           SourceRange.from_values(
                               filename,
                               line_number, 1,
                               end_line, len(file[end_line - 1])))

        if stop_ignoring is False and start is not None:
            yield (bears,
                   SourceRange.from_values(filename,
                                           start,
                                           1,
                                           len(file),
                                           len(file[-1])))


def get_file_list(results):
    """
    Get the set of files that are affected in the given results.

    :param results: A list of results from which the list of files is to be
                    extracted.
    :return:        A set of file paths containing the mentioned list of
                    files.
    """
    return {code.file for result in results for code in result.affected_code}


def process_queues(processes,
                   control_queue,
                   local_result_dict,
                   global_result_dict,
                   file_dict,
                   print_results,
                   section,
                   cache,
                   log_printer):
    """
    Iterate the control queue and send the results received to the print_result
    method so that they can be presented to the user.

    :param processes:          List of processes which can be used to run
                               Bears.
    :param control_queue:      Containing control elements that indicate
                               whether there is a result available and which
                               bear it belongs to.
    :param local_result_dict:  Dictionary containing results respective to
                               local bears. It is modified by the processes
                               i.e. results are added to it by multiple
                               processes.
    :param global_result_dict: Dictionary containing results respective to
                               global bears. It is modified by the processes
                               i.e. results are added to it by multiple
                               processes.
    :param file_dict:          Dictionary containing file contents with
                               filename as keys.
    :param print_results:      Prints all given results appropriate to the
                               output medium.
    :param cache:              An instance of ``misc.Caching.FileCache`` to use
                               as a file cache buffer.
    :return:                   Return True if all bears execute successfully and
                               Results were delivered to the user. Else False.
    """
    file_diff_dict = {}
    retval = False
    # Number of processes working on local/global bears. They are count down
    # when the last queue element of that process is processed which may be
    # *after* the process has ended!
    local_processes = len(processes)
    global_processes = len(processes)
    global_result_buffer = []
    result_files = set()
    ignore_ranges = list(yield_ignore_ranges(file_dict))

    # One process is the logger thread
    while local_processes > 1:
        try:
            control_elem, index = control_queue.get(timeout=0.1)

            if control_elem == CONTROL_ELEMENT.LOCAL_FINISHED:
                local_processes -= 1
            elif control_elem == CONTROL_ELEMENT.GLOBAL_FINISHED:
                global_processes -= 1
            elif control_elem == CONTROL_ELEMENT.LOCAL:
                assert local_processes != 0
                result_files.update(get_file_list(local_result_dict[index]))
                retval, res = print_result(local_result_dict[index],
                                           file_dict,
                                           retval,
                                           print_results,
                                           section,
                                           log_printer,
                                           file_diff_dict,
                                           ignore_ranges)
                local_result_dict[index] = res
            else:
                assert control_elem == CONTROL_ELEMENT.GLOBAL
                global_result_buffer.append(index)
        except queue.Empty:
            if get_running_processes(processes) < 2:  # pragma: no cover
                # Recover silently, those branches are only
                # nondeterministically covered.
                break

    # Flush global result buffer
    for elem in global_result_buffer:
        result_files.update(get_file_list(global_result_dict[elem]))
        retval, res = print_result(global_result_dict[elem],
                                   file_dict,
                                   retval,
                                   print_results,
                                   section,
                                   log_printer,
                                   file_diff_dict,
                                   ignore_ranges)
        global_result_dict[elem] = res

    # One process is the logger thread
    while global_processes > 1:
        try:
            control_elem, index = control_queue.get(timeout=0.1)

            if control_elem == CONTROL_ELEMENT.GLOBAL:
                result_files.update(get_file_list(global_result_dict[index]))
                retval, res = print_result(global_result_dict[index],
                                           file_dict,
                                           retval,
                                           print_results,
                                           section,
                                           log_printer,
                                           file_diff_dict,
                                           ignore_ranges)
                global_result_dict[index] = res
            else:
                assert control_elem == CONTROL_ELEMENT.GLOBAL_FINISHED
                global_processes -= 1
        except queue.Empty:
            if get_running_processes(processes) < 2:  # pragma: no cover
                # Recover silently, those branches are only
                # nondeterministically covered.
                break

    if cache:
        cache.untrack_files(result_files)
    return retval


def simplify_section_result(section_result):
    """
    Takes in a section's result from ``execute_section`` and simplifies it
    for easy usage in other functions.

    :param section_result: The result of a section which was executed.
    :return:               Tuple containing:
                            - bool - True if results were yielded
                            - bool - True if unfixed results were yielded
                            - list - Results from all bears (local and global)
    """
    section_yielded_result = section_result[0]
    results_for_section = []
    for value in chain(section_result[1].values(),
                       section_result[2].values()):
        if value is None:
            continue

        for result in value:
            results_for_section.append(result)
    section_yielded_unfixed_results = len(results_for_section) > 0

    return (section_yielded_result,
            section_yielded_unfixed_results,
            results_for_section)


def execute_section(section,
                    global_bear_list,
                    local_bear_list,
                    print_results,
                    cache,
                    log_printer):
    """
    Executes the section with the given bears.

    The execute_section method does the following things:

    1. Prepare a Process
       -  Load files
       -  Create queues
    2. Spawn up one or more Processes
    3. Output results from the Processes
    4. Join all processes

    :param section:          The section to execute.
    :param global_bear_list: List of global bears belonging to the section.
                             Dependencies are already resolved.
    :param local_bear_list:  List of local bears belonging to the section.
                             Dependencies are already resolved.
    :param print_results:    Prints all given results appropriate to the
                             output medium.
    :param cache:            An instance of ``misc.Caching.FileCache`` to use as
                             a file cache buffer.
    :param log_printer:      The log_printer to warn to.
    :return:                 Tuple containing a bool (True if results were
                             yielded, False otherwise), a Manager.dict
                             containing all local results(filenames are key)
                             and a Manager.dict containing all global bear
                             results (bear names are key) as well as the
                             file dictionary.
    """
    try:
        running_processes = int(section['jobs'])
    except ValueError:
        log_printer.warn("Unable to convert setting 'jobs' into a number. "
                         "Falling back to CPU count.")
        running_processes = get_cpu_count()
    except IndexError:
        running_processes = get_cpu_count()

    processes, arg_dict = instantiate_processes(section,
                                                local_bear_list,
                                                global_bear_list,
                                                running_processes,
                                                cache,
                                                log_printer)

    logger_thread = LogPrinterThread(arg_dict["message_queue"],
                                     log_printer)
    # Start and join the logger thread along with the processes to run bears
    processes.append(logger_thread)

    for runner in processes:
        runner.start()

    try:
        return (process_queues(processes,
                               arg_dict["control_queue"],
                               arg_dict["local_result_dict"],
                               arg_dict["global_result_dict"],
                               arg_dict["file_dict"],
                               print_results,
                               section,
                               cache,
                               log_printer),
                arg_dict["local_result_dict"],
                arg_dict["global_result_dict"],
                arg_dict["file_dict"])
    finally:
        logger_thread.running = False

        for runner in processes:
            runner.join()

coala-analyzer / coala

yield_ignore_ranges() F last analyzed 2016-09-16 10:08 UTC

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yield_ignore_ranges() F
last analyzed 2016-09-16 10:08 UTC
