Bear.run() - Code Metrics - Inspection of "Bear.py: Maintainers are authors by default" - coala-analyzer/coala - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Pull Request — master (#2352)

by Zatreanu

created 2016-06-16 09:34 UTC

Bear.run() A

↳ Parent: Bear

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	1
dl	0
loc	2
rs	10
c	0
b	0
f	0

import traceback
from functools import partial
from os import makedirs
from os.path import join, abspath, exists
from shutil import copyfileobj
from urllib.request import urlopen

from appdirs import user_data_dir

from pyprint.Printer import Printer

from coala_decorators.decorators import enforce_signature, classproperty
from coalib.bears.requirements.PackageRequirement import PackageRequirement

from coalib.bears.requirements.PythonRequirement import PythonRequirement

from coalib.output.printers.LogPrinter import LogPrinter
from coalib.results.Result import Result
from coalib.settings.FunctionMetadata import FunctionMetadata
from coalib.settings.Section import Section
from coalib.settings.ConfigurationGathering import get_config_directory


class Bear(Printer, LogPrinter):
    """
    A bear contains the actual subroutine that is responsible for checking
    source code for certain specifications. However it can actually do
    whatever it wants with the files it gets. If you are missing some Result
    type, feel free to contact us and/or help us extending the coalib.

    This is the base class for every bear. If you want to write an bear, you
    will probably want to look at the GlobalBear and LocalBear classes that
    inherit from this class. In any case you'll want to overwrite at least the
    run method. You can send debug/warning/error messages through the
    debug(), warn(), err() functions. These will send the
    appropriate messages so that they are outputted. Be aware that if you use
    err(), you are expected to also terminate the bear run-through
    immediately.

    If you need some setup or teardown for your bear, feel free to overwrite
    the set_up() and tear_down() functions. They will be invoked
    before/after every run invocation.

    Settings are available at all times through self.section.

    To indicate which languages your bear supports, just give it the
    ``LANGUAGES`` value which should be a set of string(s):

    >>> class SomeBear(Bear):
    ...     LANGUAGES = {'C', 'CPP','C#', 'D'}

    To indicate the requirements of the bear, assign ``REQUIREMENTS`` a tuple
    with instances of ``PackageRequirements``.

    >>> class SomeBear(Bear):
    ...     REQUIREMENTS = (
    ...         PackageRequirement('pip', 'coala_decorators', '0.2.1'),)

    If your bear uses requirements from a manager we have a subclass from,
    you can use the subclass, such as ``PythonRequirement``, without specifying
    manager:

    >>> class SomeBear(Bear):
    ...     REQUIREMENTS = (PythonRequirement('coala_decorators', '0.2.1'),)

    To specify multiple requirements using ``pip``, you can use the multiple
    method. This can receive both tuples of strings, in case you want a specific
    version, or a simple string, in case you want the latest version to be
    specified.

    >>> class SomeBear(Bear):
    ...     REQUIREMENTS = PythonRequirement.multiple(
    ...         ('colorama', '0.1'), 'coala_decorators')

    To specify additional attributes to your bear, use the following:

    >>> class SomeBear(Bear):
    ...     AUTHORS = {'Jon Snow'}
    ...     AUTHORS_EMAILS = {'[email protected]'}
    ...     MAINTAINERS = {'Catelyn Stark'}
    ...     MAINTAINERS_EMAILS = {'[email protected]'}
    ...     LICENSE = 'AGPL-3.0'

    If the maintainers are the same as the authors, they can be omitted:
    >>> class SomeBear(Bear):
    ...     AUTHORS = {'Jon Snow'}
    ...     AUTHORS_EMAILS = {'[email protected]'}
    >>> SomeBear.maintainers
    {'Jon Snow'}
    >>> SomeBear.maintainers_emails
    {'[email protected]'}

    If your bear needs to include local files, then specify it giving strings
    containing relative file paths to the INCLUDE_LOCAL_FILES set:

    >>> class SomeBear(Bear):
    ...     INCLUDE_LOCAL_FILES = {'checkstyle.jar', 'google_checks.xml'}

    To keep track easier of what a bear can do, simply tell it to the CAN_FIX
    and the CAN_DETECT sets. Possible values:

    >>> CAN_DETECT = {'Syntax', 'Formatting', 'Security', 'Complexity', 'Smell',
    ... 'Redundancy', 'Simplification', 'Variable Misuse', 'Spelling', 'Other'}
    >>> CAN_FIX = {'Syntax', ...}

    Specifying something to CAN_FIX makes it obvious that it can be detected
    too, so it may be omitted:

    >>> class SomeBear(Bear):
    ...     CAN_DETECT = {'Syntax', 'Security'}
    ...     CAN_FIX = {'Simplification'}
    >>> list(sorted(SomeBear.can_detect))
    ['Security', 'Simplification', 'Syntax']

    Every bear has a data directory which is unique to that particular bear:

    >>> class SomeBear(Bear): pass
    >>> class SomeOtherBear(Bear): pass
    >>> SomeBear.data_dir == SomeOtherBear.data_dir
    False
    """

    LANGUAGES = set()
    REQUIREMENTS = ()
    AUTHORS = set()
    AUTHORS_EMAILS = set()
    MAINTAINERS = set()
    MAINTAINERS_EMAILS = set()
    PLATFORMS = {'any'}
    LICENSE = ''
    INCLUDE_LOCAL_FILES = set()
    CAN_DETECT = set()
    CAN_FIX = set()

    @classproperty
    def name(cls):
        """
        :return: The name of the bear
        """
        return cls.__name__

    @classproperty
    def can_detect(cls):
        """
        :return: A set that contains everything a bear can detect, gathering
                 information from what it can fix too.
        """
        return cls.CAN_DETECT | cls.CAN_FIX

    @classproperty
    def maintainers(cls):

        """
        """
        return cls.AUTHORS if cls.MAINTAINERS == set() else cls.MAINTAINERS

    @classproperty
    def maintainers_emails(cls):

        """
        """
        return (cls.AUTHORS_EMAILS if cls.MAINTAINERS_EMAILS == set()
                else cls.MAINTAINERS)

    @enforce_signature
    def __init__(self,
                 section: Section,
                 message_queue,
                 timeout=0):
        """
        Constructs a new bear.

        :param section:       The section object where bear settings are
                              contained.
        :param message_queue: The queue object for messages. Can be ``None``.
        :param timeout:       The time the bear is allowed to run. To set no
                              time limit, use 0.
        :raises TypeError:    Raised when ``message_queue`` is no queue.
        :raises RuntimeError: Raised when bear requirements are not fulfilled.
        """
        Printer.__init__(self)
        LogPrinter.__init__(self, self)

        if message_queue is not None and not hasattr(message_queue, "put"):
            raise TypeError("message_queue has to be a Queue or None.")

        self.section = section
        self.message_queue = message_queue
        self.timeout = timeout

        self.setup_dependencies()
        cp = type(self).check_prerequisites()
        if cp is not True:
            error_string = ("The bear " + self.name +
                            " does not fulfill all requirements.")
            if cp is not False:
                error_string += " " + cp

            self.warn(error_string)
            raise RuntimeError(error_string)

    def _print(self, output, **kwargs):
        self.debug(output)

    def log_message(self, log_message, timestamp=None, **kwargs):
        if self.message_queue is not None:
            self.message_queue.put(log_message)

    def run(self, *args, dependency_results=None, **kwargs):
        raise NotImplementedError

    def run_bear_from_section(self, args, kwargs):
        try:
            kwargs.update(
                self.get_metadata().create_params_from_section(self.section))
        except ValueError as err:
            self.warn("The bear {} cannot be executed.".format(
                self.name), str(err))
            return

        return self.run(*args, **kwargs)

    def execute(self, *args, **kwargs):
        name = self.name
        try:
            self.debug("Running bear {}...".format(name))
            # If it's already a list it won't change it
            return list(self.run_bear_from_section(args, kwargs) or [])
        except:
            self.warn(
                "Bear {} failed to run. Take a look at debug messages (`-L "
                "DEBUG`) for further information.".format(name))
            self.debug(
                "The bear {bear} raised an exception. If you are the writer "
                "of this bear, please make sure to catch all exceptions. If "
                "not and this error annoys you, you might want to get in "
                "contact with the writer of this bear.\n\nTraceback "
                "information is provided below:\n\n{traceback}"
                "\n".format(bear=name, traceback=traceback.format_exc()))

    @staticmethod
    def kind():
        """
        :return: The kind of the bear
        """
        raise NotImplementedError

    @classmethod
    def get_metadata(cls):
        """
        :return: Metadata for the run function. However parameters like
                 ``self`` or parameters implicitly used by coala (e.g.
                 filename for local bears) are already removed.
        """
        return FunctionMetadata.from_function(
            cls.run,
            omit={"self", "dependency_results"})

    @classmethod
    def missing_dependencies(cls, lst):
        """
        Checks if the given list contains all dependencies.

        :param lst: A list of all already resolved bear classes (not
                    instances).
        :return:    A list of missing dependencies.
        """
        dep_classes = cls.get_dependencies()

        for item in lst:
            if item in dep_classes:
                dep_classes.remove(item)

        return dep_classes

    @staticmethod
    def get_dependencies():
        """
        Retrieves bear classes that are to be executed before this bear gets
        executed. The results of these bears will then be passed to the
        run method as a dict via the dependency_results argument. The dict
        will have the name of the Bear as key and the list of its results as
        results.

        :return: A list of bear classes.
        """
        return []

    @classmethod
    def get_non_optional_settings(cls):
        """
        This method has to determine which settings are needed by this bear.
        The user will be prompted for needed settings that are not available
        in the settings file so don't include settings where a default value
        would do.

        :return: A dictionary of needed settings as keys and a tuple of help
                 text and annotation as values
        """
        return cls.get_metadata().non_optional_params

    @staticmethod
    def setup_dependencies():
        """
        This is a user defined function that can download and set up
        dependencies (via download_cached_file or arbitary other means) in an OS
        independent way.
        """

    @classmethod
    def check_prerequisites(cls):
        """
        Checks whether needed runtime prerequisites of the bear are satisfied.

        This function gets executed at construction and returns True by
        default.

        Section value requirements shall be checked inside the ``run`` method.

        :return: True if prerequisites are satisfied, else False or a string
                 that serves a more detailed description of what's missing.
        """
        return True

    def get_config_dir(self):
        """
        Gives the directory where the configuration file is

        :return: Directory of the config file
        """
        return get_config_directory(self.section)

    def download_cached_file(self, url, filename):
        """
        Downloads the file if needed and caches it for the next time. If a
        download happens, the user will be informed.

        Take a sane simple bear:

        >>> from queue import Queue
        >>> bear = Bear(Section("a section"), Queue())

        We can now carelessly query for a neat file that doesn't exist yet:

        >>> from os import remove
        >>> if exists(join(bear.data_dir, "a_file")):
        ...     remove(join(bear.data_dir, "a_file"))
        >>> file = bear.download_cached_file("http://gitmate.com/", "a_file")

        If we download it again, it'll be much faster as no download occurs:

        >>> newfile = bear.download_cached_file("http://gitmate.com/", "a_file")
        >>> newfile == file
        True

        :param url:      The URL to download the file from.
        :param filename: The filename it should get, e.g. "test.txt".
        :return:         A full path to the file ready for you to use!
        """
        filename = join(self.data_dir, filename)
        if exists(filename):
            return filename

        self.info("Downloading {filename!r} for bear {bearname} from {url}."
                  .format(filename=filename, bearname=self.name, url=url))

        with urlopen(url) as response, open(filename, 'wb') as out_file:
            copyfileobj(response, out_file)
        return filename

    @classproperty
    def data_dir(cls):
        """
        Returns a directory that may be used by the bear to store stuff. Every
        bear has an own directory dependent on his name.
        """
        data_dir = abspath(join(user_data_dir('coala-bears'), cls.name))

        makedirs(data_dir, exist_ok=True)
        return data_dir

    @property
    def new_result(self):
        """
        Returns a partial for creating a result with this bear already bound.
        """
        return partial(Result.from_values, self)


1			import traceback
2			from functools import partial
3			from os import makedirs
4			from os.path import join, abspath, exists
5			from shutil import copyfileobj
6			from urllib.request import urlopen
7
8			from appdirs import user_data_dir
9
10			from pyprint.Printer import Printer
11
12			from coala_decorators.decorators import enforce_signature, classproperty
13			from coalib.bears.requirements.PackageRequirement import PackageRequirement
			0 ignored issues – show Unused Code introduced 2016-05-23 19:58 UTC by Report Bug Copy Issue Report Unused PackageRequirement imported from coalib.bears.requirements.PackageRequirement Loading history...
14			from coalib.bears.requirements.PythonRequirement import PythonRequirement
			0 ignored issues – show Unused Code introduced 2016-05-23 19:58 UTC by Report Bug Copy Issue Report Unused PythonRequirement imported from coalib.bears.requirements.PythonRequirement Loading history...
15			from coalib.output.printers.LogPrinter import LogPrinter
16			from coalib.results.Result import Result
17			from coalib.settings.FunctionMetadata import FunctionMetadata
18			from coalib.settings.Section import Section
19			from coalib.settings.ConfigurationGathering import get_config_directory
20
21
22			class Bear(Printer, LogPrinter):
23			"""
24			A bear contains the actual subroutine that is responsible for checking
25			source code for certain specifications. However it can actually do
26			whatever it wants with the files it gets. If you are missing some Result
27			type, feel free to contact us and/or help us extending the coalib.
28
29			This is the base class for every bear. If you want to write an bear, you
30			will probably want to look at the GlobalBear and LocalBear classes that
31			inherit from this class. In any case you'll want to overwrite at least the
32			run method. You can send debug/warning/error messages through the
33			debug(), warn(), err() functions. These will send the
34			appropriate messages so that they are outputted. Be aware that if you use
35			err(), you are expected to also terminate the bear run-through
36			immediately.
37
38			If you need some setup or teardown for your bear, feel free to overwrite
39			the set_up() and tear_down() functions. They will be invoked
40			before/after every run invocation.
41
42			Settings are available at all times through self.section.
43
44			To indicate which languages your bear supports, just give it the
45			``LANGUAGES`` value which should be a set of string(s):
46
47			>>> class SomeBear(Bear):
48			... LANGUAGES = {'C', 'CPP','C#', 'D'}
49
50			To indicate the requirements of the bear, assign ``REQUIREMENTS`` a tuple
51			with instances of ``PackageRequirements``.
52
53			>>> class SomeBear(Bear):
54			... REQUIREMENTS = (
55			... PackageRequirement('pip', 'coala_decorators', '0.2.1'),)
56
57			If your bear uses requirements from a manager we have a subclass from,
58			you can use the subclass, such as ``PythonRequirement``, without specifying
59			manager:
60
61			>>> class SomeBear(Bear):
62			... REQUIREMENTS = (PythonRequirement('coala_decorators', '0.2.1'),)
63
64			To specify multiple requirements using ``pip``, you can use the multiple
65			method. This can receive both tuples of strings, in case you want a specific
66			version, or a simple string, in case you want the latest version to be
67			specified.
68
69			>>> class SomeBear(Bear):
70			... REQUIREMENTS = PythonRequirement.multiple(
71			... ('colorama', '0.1'), 'coala_decorators')
72
73			To specify additional attributes to your bear, use the following:
74
75			>>> class SomeBear(Bear):
76			... AUTHORS = {'Jon Snow'}
77			... AUTHORS_EMAILS = {'[email protected]'}
78			... MAINTAINERS = {'Catelyn Stark'}
79			... MAINTAINERS_EMAILS = {'[email protected]'}
80			... LICENSE = 'AGPL-3.0'
81
82			If the maintainers are the same as the authors, they can be omitted:
83			>>> class SomeBear(Bear):
84			... AUTHORS = {'Jon Snow'}
85			... AUTHORS_EMAILS = {'[email protected]'}
86			>>> SomeBear.maintainers
87			{'Jon Snow'}
88			>>> SomeBear.maintainers_emails
89			{'[email protected]'}
90
91			If your bear needs to include local files, then specify it giving strings
92			containing relative file paths to the INCLUDE_LOCAL_FILES set:
93
94			>>> class SomeBear(Bear):
95			... INCLUDE_LOCAL_FILES = {'checkstyle.jar', 'google_checks.xml'}
96
97			To keep track easier of what a bear can do, simply tell it to the CAN_FIX
98			and the CAN_DETECT sets. Possible values:
99
100			>>> CAN_DETECT = {'Syntax', 'Formatting', 'Security', 'Complexity', 'Smell',
101			... 'Redundancy', 'Simplification', 'Variable Misuse', 'Spelling', 'Other'}
102			>>> CAN_FIX = {'Syntax', ...}
103
104			Specifying something to CAN_FIX makes it obvious that it can be detected
105			too, so it may be omitted:
106
107			>>> class SomeBear(Bear):
108			... CAN_DETECT = {'Syntax', 'Security'}
109			... CAN_FIX = {'Simplification'}
110			>>> list(sorted(SomeBear.can_detect))
111			['Security', 'Simplification', 'Syntax']
112
113			Every bear has a data directory which is unique to that particular bear:
114
115			>>> class SomeBear(Bear): pass
116			>>> class SomeOtherBear(Bear): pass
117			>>> SomeBear.data_dir == SomeOtherBear.data_dir
118			False
119			"""
120
121			LANGUAGES = set()
122			REQUIREMENTS = ()
123			AUTHORS = set()
124			AUTHORS_EMAILS = set()
125			MAINTAINERS = set()
126			MAINTAINERS_EMAILS = set()
127			PLATFORMS = {'any'}
128			LICENSE = ''
129			INCLUDE_LOCAL_FILES = set()
130			CAN_DETECT = set()
131			CAN_FIX = set()
132
133			@classproperty
134			def name(cls):
135			"""
136			:return: The name of the bear
137			"""
138			return cls.__name__
139
140			@classproperty
141			def can_detect(cls):
142			"""
143			:return: A set that contains everything a bear can detect, gathering
144			information from what it can fix too.
145			"""
146			return cls.CAN_DETECT \| cls.CAN_FIX
147
148			@classproperty
149			def maintainers(cls):
			0 ignored issues – show Documentation introduced 2016-06-16 09:36 UTC by Report Bug Copy Issue Report Empty method docstring Loading history...
150			"""
151			"""
152			return cls.AUTHORS if cls.MAINTAINERS == set() else cls.MAINTAINERS
153
154			@classproperty
155			def maintainers_emails(cls):
			0 ignored issues – show Documentation introduced 2016-06-16 09:36 UTC by Report Bug Copy Issue Report Empty method docstring Loading history...
156			"""
157			"""
158			return (cls.AUTHORS_EMAILS if cls.MAINTAINERS_EMAILS == set()
159			else cls.MAINTAINERS)
160
161			@enforce_signature
162			def __init__(self,
163			section: Section,
164			message_queue,
165			timeout=0):
166			"""
167			Constructs a new bear.
168
169			:param section: The section object where bear settings are
170			contained.
171			:param message_queue: The queue object for messages. Can be ``None``.
172			:param timeout: The time the bear is allowed to run. To set no
173			time limit, use 0.
174			:raises TypeError: Raised when ``message_queue`` is no queue.
175			:raises RuntimeError: Raised when bear requirements are not fulfilled.
176			"""
177			Printer.__init__(self)
178			LogPrinter.__init__(self, self)
179
180			if message_queue is not None and not hasattr(message_queue, "put"):
181			raise TypeError("message_queue has to be a Queue or None.")
182
183			self.section = section
184			self.message_queue = message_queue
185			self.timeout = timeout
186
187			self.setup_dependencies()
188			cp = type(self).check_prerequisites()
189			if cp is not True:
190			error_string = ("The bear " + self.name +
191			" does not fulfill all requirements.")
192			if cp is not False:
193			error_string += " " + cp
194
195			self.warn(error_string)
196			raise RuntimeError(error_string)
197
198			def _print(self, output, **kwargs):
199			self.debug(output)
200
201			def log_message(self, log_message, timestamp=None, **kwargs):
202			if self.message_queue is not None:
203			self.message_queue.put(log_message)
204
205			def run(self, args, dependency_results=None, *kwargs):
206			raise NotImplementedError
207
208			def run_bear_from_section(self, args, kwargs):
209			try:
210			kwargs.update(
211			self.get_metadata().create_params_from_section(self.section))
212			except ValueError as err:
213			self.warn("The bear {} cannot be executed.".format(
214			self.name), str(err))
215			return
216
217			return self.run(args, *kwargs)
218
219			def execute(self, args, *kwargs):
220			name = self.name
221			try:
222			self.debug("Running bear {}...".format(name))
223			# If it's already a list it won't change it
224			return list(self.run_bear_from_section(args, kwargs) or [])
225			except:
226			self.warn(
227			"Bear {} failed to run. Take a look at debug messages (`-L "
228			"DEBUG`) for further information.".format(name))
229			self.debug(
230			"The bear {bear} raised an exception. If you are the writer "
231			"of this bear, please make sure to catch all exceptions. If "
232			"not and this error annoys you, you might want to get in "
233			"contact with the writer of this bear.\n\nTraceback "
234			"information is provided below:\n\n{traceback}"
235			"\n".format(bear=name, traceback=traceback.format_exc()))
236
237			@staticmethod
238			def kind():
239			"""
240			:return: The kind of the bear
241			"""
242			raise NotImplementedError
243
244			@classmethod
245			def get_metadata(cls):
246			"""
247			:return: Metadata for the run function. However parameters like
248			``self`` or parameters implicitly used by coala (e.g.
249			filename for local bears) are already removed.
250			"""
251			return FunctionMetadata.from_function(
252			cls.run,
253			omit={"self", "dependency_results"})
254
255			@classmethod
256			def missing_dependencies(cls, lst):
257			"""
258			Checks if the given list contains all dependencies.
259
260			:param lst: A list of all already resolved bear classes (not
261			instances).
262			:return: A list of missing dependencies.
263			"""
264			dep_classes = cls.get_dependencies()
265
266			for item in lst:
267			if item in dep_classes:
268			dep_classes.remove(item)
269
270			return dep_classes
271
272			@staticmethod
273			def get_dependencies():
274			"""
275			Retrieves bear classes that are to be executed before this bear gets
276			executed. The results of these bears will then be passed to the
277			run method as a dict via the dependency_results argument. The dict
278			will have the name of the Bear as key and the list of its results as
279			results.
280
281			:return: A list of bear classes.
282			"""
283			return []
284
285			@classmethod
286			def get_non_optional_settings(cls):
287			"""
288			This method has to determine which settings are needed by this bear.
289			The user will be prompted for needed settings that are not available
290			in the settings file so don't include settings where a default value
291			would do.
292
293			:return: A dictionary of needed settings as keys and a tuple of help
294			text and annotation as values
295			"""
296			return cls.get_metadata().non_optional_params
297
298			@staticmethod
299			def setup_dependencies():
300			"""
301			This is a user defined function that can download and set up
302			dependencies (via download_cached_file or arbitary other means) in an OS
303			independent way.
304			"""
305
306			@classmethod
307			def check_prerequisites(cls):
308			"""
309			Checks whether needed runtime prerequisites of the bear are satisfied.
310
311			This function gets executed at construction and returns True by
312			default.
313
314			Section value requirements shall be checked inside the ``run`` method.
315
316			:return: True if prerequisites are satisfied, else False or a string
317			that serves a more detailed description of what's missing.
318			"""
319			return True
320
321			def get_config_dir(self):
322			"""
323			Gives the directory where the configuration file is
324
325			:return: Directory of the config file
326			"""
327			return get_config_directory(self.section)
328
329			def download_cached_file(self, url, filename):
330			"""
331			Downloads the file if needed and caches it for the next time. If a
332			download happens, the user will be informed.
333
334			Take a sane simple bear:
335
336			>>> from queue import Queue
337			>>> bear = Bear(Section("a section"), Queue())
338
339			We can now carelessly query for a neat file that doesn't exist yet:
340
341			>>> from os import remove
342			>>> if exists(join(bear.data_dir, "a_file")):
343			... remove(join(bear.data_dir, "a_file"))
344			>>> file = bear.download_cached_file("http://gitmate.com/", "a_file")
345
346			If we download it again, it'll be much faster as no download occurs:
347
348			>>> newfile = bear.download_cached_file("http://gitmate.com/", "a_file")
349			>>> newfile == file
350			True
351
352			:param url: The URL to download the file from.
353			:param filename: The filename it should get, e.g. "test.txt".
354			:return: A full path to the file ready for you to use!
355			"""
356			filename = join(self.data_dir, filename)
357			if exists(filename):
358			return filename
359
360			self.info("Downloading {filename!r} for bear {bearname} from {url}."
361			.format(filename=filename, bearname=self.name, url=url))
362
363			with urlopen(url) as response, open(filename, 'wb') as out_file:
364			copyfileobj(response, out_file)
365			return filename
366
367			@classproperty
368			def data_dir(cls):
369			"""
370			Returns a directory that may be used by the bear to store stuff. Every
371			bear has an own directory dependent on his name.
372			"""
373			data_dir = abspath(join(user_data_dir('coala-bears'), cls.name))
374
375			makedirs(data_dir, exist_ok=True)
376			return data_dir
377
378			@property
379			def new_result(self):
380			"""
381			Returns a partial for creating a result with this bear already bound.
382			"""
383			return partial(Result.from_values, self)
384

coala-analyzer / coala

Pull Request — master (#2352)

Bear.run() A

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