Bear.log_message() - Code Metrics - Inspection of "logging" - coala-analyzer/coala - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Pull Request — master (#2409)

unknown

created 2016-07-26 09:34 UTC

Bear.log_message() A

↳ Parent: Bear

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	2
dl	0
loc	3
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_utils.decorators import (enforce_signature, classproperty,
                                    get_public_members)

from coalib.bears.requirements.PackageRequirement import PackageRequirement

from coalib.bears.requirements.PipRequirement import PipRequirement

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 set
    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 ``PipRequirement``, without specifying
    manager:

    >>> class SomeBear(Bear):
    ...     REQUIREMENTS = {PipRequirement('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 = PipRequirement.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',
    ... 'Unused Code', 'Redundancy', 'Variable Misuse', 'Spelling',
    ... 'Memory Leak', 'Documentation', 'Duplication', 'Commented Code',
    ... 'Grammar', 'Missing Import', 'Unreachable Code', 'Undefined Element',
    ... 'Code Simplification'}
    >>> 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 = {'Redundancy'}
    >>> list(sorted(SomeBear.can_detect))
    ['Redundancy', 'Security', '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 = set()
    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: A set containing ``MAINTAINERS`` if specified, else takes
                 ``AUTHORS`` by default.
        """
        return cls.AUTHORS if cls.MAINTAINERS == set() else cls.MAINTAINERS

    @classproperty
    def maintainers_emails(cls):
        """
        :return: A set containing ``MAINTAINERS_EMAILS`` if specified, else
                 takes ``AUTHORS_EMAILS`` by default.
        """
        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 __json__(cls):
        """
        Override JSON export of ``Bear`` object.
        """
        # json cannot serialize properties, so drop them
        _dict = {key: value for key, value in get_public_members(cls).items()
                 if not isinstance(value, property)}
        metadata = cls.get_metadata()
        non_optional_params = metadata.non_optional_params
        optional_params = metadata.optional_params
        _dict["metadata"] = {
            "desc": metadata.desc,
            "non_optional_params": ({param: non_optional_params[param][0]}
                                    for param in non_optional_params),
            "optional_params": ({param: optional_params[param][0]}
                                for param in optional_params)}
        return _dict

    @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 their 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_utils.decorators import (enforce_signature, classproperty,
13			get_public_members)
14
15			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...
16			from coalib.bears.requirements.PipRequirement import PipRequirement
			0 ignored issues – show Unused Code introduced 2016-06-19 17:12 UTC by Report Bug Copy Issue Report Unused PipRequirement imported from coalib.bears.requirements.PipRequirement Loading history...
17			from coalib.output.printers.LogPrinter import LogPrinter
18			from coalib.results.Result import Result
19			from coalib.settings.FunctionMetadata import FunctionMetadata
20			from coalib.settings.Section import Section
21			from coalib.settings.ConfigurationGathering import get_config_directory
22
23
24			class Bear(Printer, LogPrinter):
25			"""
26			A bear contains the actual subroutine that is responsible for checking
27			source code for certain specifications. However it can actually do
28			whatever it wants with the files it gets. If you are missing some Result
29			type, feel free to contact us and/or help us extending the coalib.
30
31			This is the base class for every bear. If you want to write an bear, you
32			will probably want to look at the GlobalBear and LocalBear classes that
33			inherit from this class. In any case you'll want to overwrite at least the
34			run method. You can send debug/warning/error messages through the
35			debug(), warn(), err() functions. These will send the
36			appropriate messages so that they are outputted. Be aware that if you use
37			err(), you are expected to also terminate the bear run-through
38			immediately.
39
40			If you need some setup or teardown for your bear, feel free to overwrite
41			the set_up() and tear_down() functions. They will be invoked
42			before/after every run invocation.
43
44			Settings are available at all times through self.section.
45
46			To indicate which languages your bear supports, just give it the
47			``LANGUAGES`` value which should be a set of string(s):
48
49			>>> class SomeBear(Bear):
50			... LANGUAGES = {'C', 'CPP','C#', 'D'}
51
52			To indicate the requirements of the bear, assign ``REQUIREMENTS`` a set
53			with instances of ``PackageRequirements``.
54
55			>>> class SomeBear(Bear):
56			... REQUIREMENTS = {
57			... PackageRequirement('pip', 'coala_decorators', '0.2.1')}
58
59			If your bear uses requirements from a manager we have a subclass from,
60			you can use the subclass, such as ``PipRequirement``, without specifying
61			manager:
62
63			>>> class SomeBear(Bear):
64			... REQUIREMENTS = {PipRequirement('coala_decorators', '0.2.1')}
65
66			To specify multiple requirements using ``pip``, you can use the multiple
67			method. This can receive both tuples of strings, in case you want a specific
68			version, or a simple string, in case you want the latest version to be
69			specified.
70
71			>>> class SomeBear(Bear):
72			... REQUIREMENTS = PipRequirement.multiple(
73			... ('colorama', '0.1'), 'coala_decorators')
74
75			To specify additional attributes to your bear, use the following:
76
77			>>> class SomeBear(Bear):
78			... AUTHORS = {'Jon Snow'}
79			... AUTHORS_EMAILS = {'[email protected]'}
80			... MAINTAINERS = {'Catelyn Stark'}
81			... MAINTAINERS_EMAILS = {'[email protected]'}
82			... LICENSE = 'AGPL-3.0'
83
84			If the maintainers are the same as the authors, they can be omitted:
85
86			>>> class SomeBear(Bear):
87			... AUTHORS = {'Jon Snow'}
88			... AUTHORS_EMAILS = {'[email protected]'}
89			>>> SomeBear.maintainers
90			{'Jon Snow'}
91			>>> SomeBear.maintainers_emails
92			{'[email protected]'}
93
94			If your bear needs to include local files, then specify it giving strings
95			containing relative file paths to the INCLUDE_LOCAL_FILES set:
96
97			>>> class SomeBear(Bear):
98			... INCLUDE_LOCAL_FILES = {'checkstyle.jar', 'google_checks.xml'}
99
100			To keep track easier of what a bear can do, simply tell it to the CAN_FIX
101			and the CAN_DETECT sets. Possible values:
102
103			>>> CAN_DETECT = {'Syntax', 'Formatting', 'Security', 'Complexity', 'Smell',
104			... 'Unused Code', 'Redundancy', 'Variable Misuse', 'Spelling',
105			... 'Memory Leak', 'Documentation', 'Duplication', 'Commented Code',
106			... 'Grammar', 'Missing Import', 'Unreachable Code', 'Undefined Element',
107			... 'Code Simplification'}
108			>>> CAN_FIX = {'Syntax', ...}
109
110			Specifying something to CAN_FIX makes it obvious that it can be detected
111			too, so it may be omitted:
112
113			>>> class SomeBear(Bear):
114			... CAN_DETECT = {'Syntax', 'Security'}
115			... CAN_FIX = {'Redundancy'}
116			>>> list(sorted(SomeBear.can_detect))
117			['Redundancy', 'Security', 'Syntax']
118
119			Every bear has a data directory which is unique to that particular bear:
120
121			>>> class SomeBear(Bear): pass
122			>>> class SomeOtherBear(Bear): pass
123			>>> SomeBear.data_dir == SomeOtherBear.data_dir
124			False
125			"""
126
127			LANGUAGES = set()
128			REQUIREMENTS = set()
129			AUTHORS = set()
130			AUTHORS_EMAILS = set()
131			MAINTAINERS = set()
132			MAINTAINERS_EMAILS = set()
133			PLATFORMS = {'any'}
134			LICENSE = ''
135			INCLUDE_LOCAL_FILES = set()
136			CAN_DETECT = set()
137			CAN_FIX = set()
138
139			@classproperty
140			def name(cls):
141			"""
142			:return: The name of the bear
143			"""
144			return cls.__name__
145
146			@classproperty
147			def can_detect(cls):
148			"""
149			:return: A set that contains everything a bear can detect, gathering
150			information from what it can fix too.
151			"""
152			return cls.CAN_DETECT \| cls.CAN_FIX
153
154			@classproperty
155			def maintainers(cls):
156			"""
157			:return: A set containing ``MAINTAINERS`` if specified, else takes
158			``AUTHORS`` by default.
159			"""
160			return cls.AUTHORS if cls.MAINTAINERS == set() else cls.MAINTAINERS
161
162			@classproperty
163			def maintainers_emails(cls):
164			"""
165			:return: A set containing ``MAINTAINERS_EMAILS`` if specified, else
166			takes ``AUTHORS_EMAILS`` by default.
167			"""
168			return (cls.AUTHORS_EMAILS if cls.MAINTAINERS_EMAILS == set()
169			else cls.MAINTAINERS)
170
171			@enforce_signature
172			def __init__(self,
173			section: Section,
174			message_queue,
175			timeout=0):
176			"""
177			Constructs a new bear.
178
179			:param section: The section object where bear settings are
180			contained.
181			:param message_queue: The queue object for messages. Can be ``None``.
182			:param timeout: The time the bear is allowed to run. To set no
183			time limit, use 0.
184			:raises TypeError: Raised when ``message_queue`` is no queue.
185			:raises RuntimeError: Raised when bear requirements are not fulfilled.
186			"""
187			Printer.__init__(self)
188			LogPrinter.__init__(self, self)
189
190			if message_queue is not None and not hasattr(message_queue, "put"):
191			raise TypeError("message_queue has to be a Queue or None.")
192
193			self.section = section
194			self.message_queue = message_queue
195			self.timeout = timeout
196
197			self.setup_dependencies()
198			cp = type(self).check_prerequisites()
199			if cp is not True:
200			error_string = ("The bear " + self.name +
201			" does not fulfill all requirements.")
202			if cp is not False:
203			error_string += " " + cp
204
205			self.warn(error_string)
206			raise RuntimeError(error_string)
207
208			def _print(self, output, **kwargs):
209			self.debug(output)
210
211			def log_message(self, log_message, timestamp=None, **kwargs):
212			if self.message_queue is not None:
213			self.message_queue.put(log_message)
214
215			def run(self, args, dependency_results=None, *kwargs):
216			raise NotImplementedError
217
218			def run_bear_from_section(self, args, kwargs):
219			try:
220			kwargs.update(
221			self.get_metadata().create_params_from_section(self.section))
222			except ValueError as err:
223			self.warn("The bear {} cannot be executed.".format(
224			self.name), str(err))
225			return
226
227			return self.run(args, *kwargs)
228
229			def execute(self, args, *kwargs):
230			name = self.name
231			try:
232			self.debug("Running bear {}...".format(name))
233			# If it's already a list it won't change it
234			return list(self.run_bear_from_section(args, kwargs) or [])
235			except:
236			self.warn(
237			"Bear {} failed to run. Take a look at debug messages (`-L "
238			"DEBUG`) for further information.".format(name))
239			self.debug(
240			"The bear {bear} raised an exception. If you are the writer "
241			"of this bear, please make sure to catch all exceptions. If "
242			"not and this error annoys you, you might want to get in "
243			"contact with the writer of this bear.\n\nTraceback "
244			"information is provided below:\n\n{traceback}"
245			"\n".format(bear=name, traceback=traceback.format_exc()))
246
247			@staticmethod
248			def kind():
249			"""
250			:return: The kind of the bear
251			"""
252			raise NotImplementedError
253
254			@classmethod
255			def get_metadata(cls):
256			"""
257			:return: Metadata for the run function. However parameters like
258			``self`` or parameters implicitly used by coala (e.g.
259			filename for local bears) are already removed.
260			"""
261			return FunctionMetadata.from_function(
262			cls.run,
263			omit={"self", "dependency_results"})
264
265			@classmethod
266			def __json__(cls):
267			"""
268			Override JSON export of ``Bear`` object.
269			"""
270			# json cannot serialize properties, so drop them
271			_dict = {key: value for key, value in get_public_members(cls).items()
272			if not isinstance(value, property)}
273			metadata = cls.get_metadata()
274			non_optional_params = metadata.non_optional_params
275			optional_params = metadata.optional_params
276			_dict["metadata"] = {
277			"desc": metadata.desc,
278			"non_optional_params": ({param: non_optional_params[param][0]}
279			for param in non_optional_params),
280			"optional_params": ({param: optional_params[param][0]}
281			for param in optional_params)}
282			return _dict
283
284			@classmethod
285			def missing_dependencies(cls, lst):
286			"""
287			Checks if the given list contains all dependencies.
288
289			:param lst: A list of all already resolved bear classes (not
290			instances).
291			:return: A list of missing dependencies.
292			"""
293			dep_classes = cls.get_dependencies()
294
295			for item in lst:
296			if item in dep_classes:
297			dep_classes.remove(item)
298
299			return dep_classes
300
301			@staticmethod
302			def get_dependencies():
303			"""
304			Retrieves bear classes that are to be executed before this bear gets
305			executed. The results of these bears will then be passed to the
306			run method as a dict via the dependency_results argument. The dict
307			will have the name of the Bear as key and the list of its results as
308			results.
309
310			:return: A list of bear classes.
311			"""
312			return []
313
314			@classmethod
315			def get_non_optional_settings(cls):
316			"""
317			This method has to determine which settings are needed by this bear.
318			The user will be prompted for needed settings that are not available
319			in the settings file so don't include settings where a default value
320			would do.
321
322			:return: A dictionary of needed settings as keys and a tuple of help
323			text and annotation as values
324			"""
325			return cls.get_metadata().non_optional_params
326
327			@staticmethod
328			def setup_dependencies():
329			"""
330			This is a user defined function that can download and set up
331			dependencies (via download_cached_file or arbitary other means) in an OS
332			independent way.
333			"""
334
335			@classmethod
336			def check_prerequisites(cls):
337			"""
338			Checks whether needed runtime prerequisites of the bear are satisfied.
339
340			This function gets executed at construction and returns True by
341			default.
342
343			Section value requirements shall be checked inside the ``run`` method.
344
345			:return: True if prerequisites are satisfied, else False or a string
346			that serves a more detailed description of what's missing.
347			"""
348			return True
349
350			def get_config_dir(self):
351			"""
352			Gives the directory where the configuration file is
353
354			:return: Directory of the config file
355			"""
356			return get_config_directory(self.section)
357
358			def download_cached_file(self, url, filename):
359			"""
360			Downloads the file if needed and caches it for the next time. If a
361			download happens, the user will be informed.
362
363			Take a sane simple bear:
364
365			>>> from queue import Queue
366			>>> bear = Bear(Section("a section"), Queue())
367
368			We can now carelessly query for a neat file that doesn't exist yet:
369
370			>>> from os import remove
371			>>> if exists(join(bear.data_dir, "a_file")):
372			... remove(join(bear.data_dir, "a_file"))
373			>>> file = bear.download_cached_file("http://gitmate.com/", "a_file")
374
375			If we download it again, it'll be much faster as no download occurs:
376
377			>>> newfile = bear.download_cached_file("http://gitmate.com/", "a_file")
378			>>> newfile == file
379			True
380
381			:param url: The URL to download the file from.
382			:param filename: The filename it should get, e.g. "test.txt".
383			:return: A full path to the file ready for you to use!
384			"""
385			filename = join(self.data_dir, filename)
386			if exists(filename):
387			return filename
388
389			self.info("Downloading {filename!r} for bear {bearname} from {url}."
390			.format(filename=filename, bearname=self.name, url=url))
391
392			with urlopen(url) as response, open(filename, 'wb') as out_file:
393			copyfileobj(response, out_file)
394			return filename
395
396			@classproperty
397			def data_dir(cls):
398			"""
399			Returns a directory that may be used by the bear to store stuff. Every
400			bear has an own directory dependent on their name.
401			"""
402			data_dir = abspath(join(user_data_dir('coala-bears'), cls.name))
403
404			makedirs(data_dir, exist_ok=True)
405			return data_dir
406
407			@property
408			def new_result(self):
409			"""
410			Returns a partial for creating a result with this bear already bound.
411			"""
412			return partial(Result.from_values, self)
413

coala-analyzer / coala

Pull Request — master (#2409)

Bear.log_message() A

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