Python django.conf.settings.items() Examples

The following are 21 code examples for showing how to use django.conf.settings.items(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

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Example 1
Project: GTDWeb   Author: lanbing510   File: debug.py    License: GNU General Public License v2.0 6 votes vote down vote up
def cleanse_setting(key, value):
    """Cleanse an individual setting key/value of sensitive content.

    If the value is a dictionary, recursively cleanse the keys in
    that dictionary.
    """
    try:
        if HIDDEN_SETTINGS.search(key):
            cleansed = CLEANSED_SUBSTITUTE
        else:
            if isinstance(value, dict):
                cleansed = {k: cleanse_setting(k, v) for k, v in value.items()}
            else:
                cleansed = value
    except TypeError:
        # If the key isn't regex-able, just return as-is.
        cleansed = value

    if callable(cleansed):
        # For fixing #21345 and #23070
        cleansed = CallableSettingWrapper(cleansed)

    return cleansed 
Example 2
Project: GTDWeb   Author: lanbing510   File: debug.py    License: GNU General Public License v2.0 6 votes vote down vote up
def get_post_parameters(self, request):
        """
        Replaces the values of POST parameters marked as sensitive with
        stars (*********).
        """
        if request is None:
            return {}
        else:
            sensitive_post_parameters = getattr(request, 'sensitive_post_parameters', [])
            if self.is_active(request) and sensitive_post_parameters:
                cleansed = request.POST.copy()
                if sensitive_post_parameters == '__ALL__':
                    # Cleanse all parameters.
                    for k, v in cleansed.items():
                        cleansed[k] = CLEANSED_SUBSTITUTE
                    return cleansed
                else:
                    # Cleanse only the specified parameters.
                    for param in sensitive_post_parameters:
                        if param in cleansed:
                            cleansed[param] = CLEANSED_SUBSTITUTE
                    return cleansed
            else:
                return request.POST 
Example 3
Project: python   Author: Yeah-Kun   File: debug.py    License: Apache License 2.0 6 votes vote down vote up
def cleanse_setting(key, value):
    """Cleanse an individual setting key/value of sensitive content.

    If the value is a dictionary, recursively cleanse the keys in
    that dictionary.
    """
    try:
        if HIDDEN_SETTINGS.search(key):
            cleansed = CLEANSED_SUBSTITUTE
        else:
            if isinstance(value, dict):
                cleansed = {k: cleanse_setting(k, v) for k, v in value.items()}
            else:
                cleansed = value
    except TypeError:
        # If the key isn't regex-able, just return as-is.
        cleansed = value

    if callable(cleansed):
        # For fixing #21345 and #23070
        cleansed = CallableSettingWrapper(cleansed)

    return cleansed 
Example 4
Project: python   Author: Yeah-Kun   File: debug.py    License: Apache License 2.0 6 votes vote down vote up
def get_post_parameters(self, request):
        """
        Replaces the values of POST parameters marked as sensitive with
        stars (*********).
        """
        if request is None:
            return {}
        else:
            sensitive_post_parameters = getattr(request, 'sensitive_post_parameters', [])
            if self.is_active(request) and sensitive_post_parameters:
                cleansed = request.POST.copy()
                if sensitive_post_parameters == '__ALL__':
                    # Cleanse all parameters.
                    for k, v in cleansed.items():
                        cleansed[k] = CLEANSED_SUBSTITUTE
                    return cleansed
                else:
                    # Cleanse only the specified parameters.
                    for param in sensitive_post_parameters:
                        if param in cleansed:
                            cleansed[param] = CLEANSED_SUBSTITUTE
                    return cleansed
            else:
                return request.POST 
Example 5
Project: luscan-devel   Author: blackye   File: debug.py    License: GNU General Public License v2.0 6 votes vote down vote up
def cleanse_setting(key, value):
    """Cleanse an individual setting key/value of sensitive content.

    If the value is a dictionary, recursively cleanse the keys in
    that dictionary.
    """
    try:
        if HIDDEN_SETTINGS.search(key):
            cleansed = CLEANSED_SUBSTITUTE
        else:
            if isinstance(value, dict):
                cleansed = dict((k, cleanse_setting(k, v)) for k,v in value.items())
            else:
                cleansed = value
    except TypeError:
        # If the key isn't regex-able, just return as-is.
        cleansed = value
    return cleansed 
Example 6
Project: luscan-devel   Author: blackye   File: debug.py    License: GNU General Public License v2.0 6 votes vote down vote up
def get_post_parameters(self, request):
        """
        Replaces the values of POST parameters marked as sensitive with
        stars (*********).
        """
        if request is None:
            return {}
        else:
            sensitive_post_parameters = getattr(request, 'sensitive_post_parameters', [])
            if self.is_active(request) and sensitive_post_parameters:
                cleansed = request.POST.copy()
                if sensitive_post_parameters == '__ALL__':
                    # Cleanse all parameters.
                    for k, v in cleansed.items():
                        cleansed[k] = CLEANSED_SUBSTITUTE
                    return cleansed
                else:
                    # Cleanse only the specified parameters.
                    for param in sensitive_post_parameters:
                        if param in cleansed:
                            cleansed[param] = CLEANSED_SUBSTITUTE
                    return cleansed
            else:
                return request.POST 
Example 7
Project: bungiesearch   Author: ChristopherRabotin   File: __init__.py    License: BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up
def _build_key(cls, urls, timeout, **settings):
        # Order the settings by key and then turn it into a string with
        # repr. There are a lot of edge cases here, but the worst that
        # happens is that the key is different and so you get a new
        # Elasticsearch. We'll probably have to tweak this.
        settings = sorted(settings.items(), key=lambda item: item[0])
        settings = repr([(k, v) for k, v in settings])
        # elasticsearch allows URLs to be a string, so we make sure to
        # account for that when converting whatever it is into a tuple.
        if isinstance(urls, string_types):
            urls = (urls,)
        else:
            urls = tuple(urls)
        # Generate a tuple of all the bits and return that as the key
        # because that's hashable.
        key = (urls, timeout, settings)
        return key 
Example 8
Project: openhgsenti   Author: drexly   File: debug.py    License: Apache License 2.0 6 votes vote down vote up
def cleanse_setting(key, value):
    """Cleanse an individual setting key/value of sensitive content.

    If the value is a dictionary, recursively cleanse the keys in
    that dictionary.
    """
    try:
        if HIDDEN_SETTINGS.search(key):
            cleansed = CLEANSED_SUBSTITUTE
        else:
            if isinstance(value, dict):
                cleansed = {k: cleanse_setting(k, v) for k, v in value.items()}
            else:
                cleansed = value
    except TypeError:
        # If the key isn't regex-able, just return as-is.
        cleansed = value

    if callable(cleansed):
        # For fixing #21345 and #23070
        cleansed = CallableSettingWrapper(cleansed)

    return cleansed 
Example 9
Project: openhgsenti   Author: drexly   File: debug.py    License: Apache License 2.0 6 votes vote down vote up
def get_post_parameters(self, request):
        """
        Replaces the values of POST parameters marked as sensitive with
        stars (*********).
        """
        if request is None:
            return {}
        else:
            sensitive_post_parameters = getattr(request, 'sensitive_post_parameters', [])
            if self.is_active(request) and sensitive_post_parameters:
                cleansed = request.POST.copy()
                if sensitive_post_parameters == '__ALL__':
                    # Cleanse all parameters.
                    for k, v in cleansed.items():
                        cleansed[k] = CLEANSED_SUBSTITUTE
                    return cleansed
                else:
                    # Cleanse only the specified parameters.
                    for param in sensitive_post_parameters:
                        if param in cleansed:
                            cleansed[param] = CLEANSED_SUBSTITUTE
                    return cleansed
            else:
                return request.POST 
Example 10
Project: python2017   Author: bpgc-cte   File: debug.py    License: MIT License 6 votes vote down vote up
def cleanse_setting(key, value):
    """Cleanse an individual setting key/value of sensitive content.

    If the value is a dictionary, recursively cleanse the keys in
    that dictionary.
    """
    try:
        if HIDDEN_SETTINGS.search(key):
            cleansed = CLEANSED_SUBSTITUTE
        else:
            if isinstance(value, dict):
                cleansed = {k: cleanse_setting(k, v) for k, v in value.items()}
            else:
                cleansed = value
    except TypeError:
        # If the key isn't regex-able, just return as-is.
        cleansed = value

    if callable(cleansed):
        # For fixing #21345 and #23070
        cleansed = CallableSettingWrapper(cleansed)

    return cleansed 
Example 11
Project: python2017   Author: bpgc-cte   File: debug.py    License: MIT License 6 votes vote down vote up
def get_post_parameters(self, request):
        """
        Replaces the values of POST parameters marked as sensitive with
        stars (*********).
        """
        if request is None:
            return {}
        else:
            sensitive_post_parameters = getattr(request, 'sensitive_post_parameters', [])
            if self.is_active(request) and sensitive_post_parameters:
                cleansed = request.POST.copy()
                if sensitive_post_parameters == '__ALL__':
                    # Cleanse all parameters.
                    for k, v in cleansed.items():
                        cleansed[k] = CLEANSED_SUBSTITUTE
                    return cleansed
                else:
                    # Cleanse only the specified parameters.
                    for param in sensitive_post_parameters:
                        if param in cleansed:
                            cleansed[param] = CLEANSED_SUBSTITUTE
                    return cleansed
            else:
                return request.POST 
Example 12
Project: python   Author: Yeah-Kun   File: debug.py    License: Apache License 2.0 5 votes vote down vote up
def get_traceback_frame_variables(self, request, tb_frame):
        return list(tb_frame.f_locals.items()) 
Example 13
Project: openhgsenti   Author: drexly   File: debug.py    License: Apache License 2.0 5 votes vote down vote up
def get_traceback_frame_variables(self, request, tb_frame):
        return list(tb_frame.f_locals.items()) 
Example 14
Project: python2017   Author: bpgc-cte   File: debug.py    License: MIT License 5 votes vote down vote up
def get_traceback_frame_variables(self, request, tb_frame):
        return list(tb_frame.f_locals.items()) 
Example 15
Project: djongo   Author: nesdis   File: tests.py    License: GNU Affero General Public License v3.0 5 votes vote down vote up
def patch_formats(lang, **settings):
    from django.utils.formats import _format_cache

    # Populate _format_cache with temporary values
    for key, value in settings.items():
        _format_cache[(key, lang)] = value
    try:
        yield
    finally:
        reset_format_cache() 
Example 16
Project: GTDWeb   Author: lanbing510   File: debug.py    License: GNU General Public License v2.0 4 votes vote down vote up
def get_traceback_frame_variables(self, request, tb_frame):
        """
        Replaces the values of variables marked as sensitive with
        stars (*********).
        """
        # Loop through the frame's callers to see if the sensitive_variables
        # decorator was used.
        current_frame = tb_frame.f_back
        sensitive_variables = None
        while current_frame is not None:
            if (current_frame.f_code.co_name == 'sensitive_variables_wrapper'
                    and 'sensitive_variables_wrapper' in current_frame.f_locals):
                # The sensitive_variables decorator was used, so we take note
                # of the sensitive variables' names.
                wrapper = current_frame.f_locals['sensitive_variables_wrapper']
                sensitive_variables = getattr(wrapper, 'sensitive_variables', None)
                break
            current_frame = current_frame.f_back

        cleansed = {}
        if self.is_active(request) and sensitive_variables:
            if sensitive_variables == '__ALL__':
                # Cleanse all variables
                for name, value in tb_frame.f_locals.items():
                    cleansed[name] = CLEANSED_SUBSTITUTE
            else:
                # Cleanse specified variables
                for name, value in tb_frame.f_locals.items():
                    if name in sensitive_variables:
                        value = CLEANSED_SUBSTITUTE
                    else:
                        value = self.cleanse_special_types(request, value)
                    cleansed[name] = value
        else:
            # Potentially cleanse the request and any MultiValueDicts if they
            # are one of the frame variables.
            for name, value in tb_frame.f_locals.items():
                cleansed[name] = self.cleanse_special_types(request, value)

        if (tb_frame.f_code.co_name == 'sensitive_variables_wrapper'
                and 'sensitive_variables_wrapper' in tb_frame.f_locals):
            # For good measure, obfuscate the decorated function's arguments in
            # the sensitive_variables decorator's frame, in case the variables
            # associated with those arguments were meant to be obfuscated from
            # the decorated function's frame.
            cleansed['func_args'] = CLEANSED_SUBSTITUTE
            cleansed['func_kwargs'] = CLEANSED_SUBSTITUTE

        return cleansed.items() 
Example 17
Project: python   Author: Yeah-Kun   File: debug.py    License: Apache License 2.0 4 votes vote down vote up
def get_traceback_frame_variables(self, request, tb_frame):
        """
        Replaces the values of variables marked as sensitive with
        stars (*********).
        """
        # Loop through the frame's callers to see if the sensitive_variables
        # decorator was used.
        current_frame = tb_frame.f_back
        sensitive_variables = None
        while current_frame is not None:
            if (current_frame.f_code.co_name == 'sensitive_variables_wrapper' and
                    'sensitive_variables_wrapper' in current_frame.f_locals):
                # The sensitive_variables decorator was used, so we take note
                # of the sensitive variables' names.
                wrapper = current_frame.f_locals['sensitive_variables_wrapper']
                sensitive_variables = getattr(wrapper, 'sensitive_variables', None)
                break
            current_frame = current_frame.f_back

        cleansed = {}
        if self.is_active(request) and sensitive_variables:
            if sensitive_variables == '__ALL__':
                # Cleanse all variables
                for name, value in tb_frame.f_locals.items():
                    cleansed[name] = CLEANSED_SUBSTITUTE
            else:
                # Cleanse specified variables
                for name, value in tb_frame.f_locals.items():
                    if name in sensitive_variables:
                        value = CLEANSED_SUBSTITUTE
                    else:
                        value = self.cleanse_special_types(request, value)
                    cleansed[name] = value
        else:
            # Potentially cleanse the request and any MultiValueDicts if they
            # are one of the frame variables.
            for name, value in tb_frame.f_locals.items():
                cleansed[name] = self.cleanse_special_types(request, value)

        if (tb_frame.f_code.co_name == 'sensitive_variables_wrapper' and
                'sensitive_variables_wrapper' in tb_frame.f_locals):
            # For good measure, obfuscate the decorated function's arguments in
            # the sensitive_variables decorator's frame, in case the variables
            # associated with those arguments were meant to be obfuscated from
            # the decorated function's frame.
            cleansed['func_args'] = CLEANSED_SUBSTITUTE
            cleansed['func_kwargs'] = CLEANSED_SUBSTITUTE

        return cleansed.items() 
Example 18
Project: luscan-devel   Author: blackye   File: debug.py    License: GNU General Public License v2.0 4 votes vote down vote up
def get_traceback_frame_variables(self, request, tb_frame):
        """
        Replaces the values of variables marked as sensitive with
        stars (*********).
        """
        # Loop through the frame's callers to see if the sensitive_variables
        # decorator was used.
        current_frame = tb_frame.f_back
        sensitive_variables = None
        while current_frame is not None:
            if (current_frame.f_code.co_name == 'sensitive_variables_wrapper'
                and 'sensitive_variables_wrapper' in current_frame.f_locals):
                # The sensitive_variables decorator was used, so we take note
                # of the sensitive variables' names.
                wrapper = current_frame.f_locals['sensitive_variables_wrapper']
                sensitive_variables = getattr(wrapper, 'sensitive_variables', None)
                break
            current_frame = current_frame.f_back

        cleansed = {}
        if self.is_active(request) and sensitive_variables:
            if sensitive_variables == '__ALL__':
                # Cleanse all variables
                for name, value in tb_frame.f_locals.items():
                    cleansed[name] = CLEANSED_SUBSTITUTE
            else:
                # Cleanse specified variables
                for name, value in tb_frame.f_locals.items():
                    if name in sensitive_variables:
                        value = CLEANSED_SUBSTITUTE
                    elif isinstance(value, HttpRequest):
                        # Cleanse the request's POST parameters.
                        value = self.get_request_repr(value)
                    cleansed[name] = value
        else:
            # Potentially cleanse only the request if it's one of the frame variables.
            for name, value in tb_frame.f_locals.items():
                if isinstance(value, HttpRequest):
                    # Cleanse the request's POST parameters.
                    value = self.get_request_repr(value)
                cleansed[name] = value

        if (tb_frame.f_code.co_name == 'sensitive_variables_wrapper'
            and 'sensitive_variables_wrapper' in tb_frame.f_locals):
            # For good measure, obfuscate the decorated function's arguments in
            # the sensitive_variables decorator's frame, in case the variables
            # associated with those arguments were meant to be obfuscated from
            # the decorated function's frame.
            cleansed['func_args'] = CLEANSED_SUBSTITUTE
            cleansed['func_kwargs'] = CLEANSED_SUBSTITUTE

        return cleansed.items() 
Example 19
Project: bungiesearch   Author: ChristopherRabotin   File: __init__.py    License: BSD 3-Clause "New" or "Revised" License 4 votes vote down vote up
def map_raw_results(cls, raw_results, instance=None):
        '''
        Maps raw results to database model objects.
        :param raw_results: list raw results as returned from elasticsearch-dsl-py.
        :param instance: Bungiesearch instance if you want to make use of `.only()` or `optmize_queries` as defined in the ModelIndex.
        :return: list of mapped results in the *same* order as returned by elasticsearch.
        '''
        # Let's iterate over the results and determine the appropriate mapping.
        model_results = defaultdict(list)
        # Initializing the list to the number of returned results. This allows us to restore each item in its position.
        if hasattr(raw_results, 'hits'):
            results = [None] * len(raw_results.hits)
        else:
            results = [None] * len(raw_results)
        found_results = {}
        for pos, result in enumerate(raw_results):
            model_name = result.meta.doc_type
            if model_name not in Bungiesearch._model_name_to_index or result.meta.index not in Bungiesearch._model_name_to_index[model_name]:
                logger.warning('Returned object of type {} ({}) is not defined in the settings, or is not associated to the same index as in the settings.'.format(model_name, result))
                results[pos] = result
            else:
                meta = Bungiesearch.get_model_index(model_name).Meta
                model_results['{}.{}'.format(result.meta.index, model_name)].append(result.meta.id)
                found_results['{1.meta.index}.{0}.{1.meta.id}'.format(model_name, result)] = (pos, result.meta)

        # Now that we have model ids per model name, let's fetch everything at once.
        for ref_name, ids in iteritems(model_results):
            index_name, model_name = ref_name.split('.')
            model_idx = Bungiesearch._idx_name_to_mdl_to_mdlidx[index_name][model_name]
            model_obj = model_idx.get_model()
            items = model_obj.objects.filter(pk__in=ids)
            if instance:
                if instance._only == '__model' or model_idx.optimize_queries:
                    desired_fields = model_idx.fields_to_fetch
                elif instance._only == '__fields':
                    desired_fields = instance._fields
                else:
                    desired_fields = instance._only

                if desired_fields: # Prevents setting the database fetch to __fields but not having specified any field to elasticsearch.
                    items = items.only(
                        *[field.name
                          for field in model_obj._meta.get_fields()
                          # For complete backwards compatibility, you may want to exclude
                          # GenericForeignKey from the results.
                          if field.name in desired_fields and \
                             not (field.many_to_one and field.related_model is None)
                         ]
                    )
            # Let's reposition each item in the results and set the _searchmeta meta information.
            for item in items:
                pos, meta = found_results['{}.{}.{}'.format(index_name, model_name, item.pk)]
                item._searchmeta = meta
                results[pos] = item

        return results 
Example 20
Project: openhgsenti   Author: drexly   File: debug.py    License: Apache License 2.0 4 votes vote down vote up
def get_traceback_frame_variables(self, request, tb_frame):
        """
        Replaces the values of variables marked as sensitive with
        stars (*********).
        """
        # Loop through the frame's callers to see if the sensitive_variables
        # decorator was used.
        current_frame = tb_frame.f_back
        sensitive_variables = None
        while current_frame is not None:
            if (current_frame.f_code.co_name == 'sensitive_variables_wrapper'
                    and 'sensitive_variables_wrapper' in current_frame.f_locals):
                # The sensitive_variables decorator was used, so we take note
                # of the sensitive variables' names.
                wrapper = current_frame.f_locals['sensitive_variables_wrapper']
                sensitive_variables = getattr(wrapper, 'sensitive_variables', None)
                break
            current_frame = current_frame.f_back

        cleansed = {}
        if self.is_active(request) and sensitive_variables:
            if sensitive_variables == '__ALL__':
                # Cleanse all variables
                for name, value in tb_frame.f_locals.items():
                    cleansed[name] = CLEANSED_SUBSTITUTE
            else:
                # Cleanse specified variables
                for name, value in tb_frame.f_locals.items():
                    if name in sensitive_variables:
                        value = CLEANSED_SUBSTITUTE
                    else:
                        value = self.cleanse_special_types(request, value)
                    cleansed[name] = value
        else:
            # Potentially cleanse the request and any MultiValueDicts if they
            # are one of the frame variables.
            for name, value in tb_frame.f_locals.items():
                cleansed[name] = self.cleanse_special_types(request, value)

        if (tb_frame.f_code.co_name == 'sensitive_variables_wrapper'
                and 'sensitive_variables_wrapper' in tb_frame.f_locals):
            # For good measure, obfuscate the decorated function's arguments in
            # the sensitive_variables decorator's frame, in case the variables
            # associated with those arguments were meant to be obfuscated from
            # the decorated function's frame.
            cleansed['func_args'] = CLEANSED_SUBSTITUTE
            cleansed['func_kwargs'] = CLEANSED_SUBSTITUTE

        return cleansed.items() 
Example 21
Project: python2017   Author: bpgc-cte   File: debug.py    License: MIT License 4 votes vote down vote up
def get_traceback_frame_variables(self, request, tb_frame):
        """
        Replaces the values of variables marked as sensitive with
        stars (*********).
        """
        # Loop through the frame's callers to see if the sensitive_variables
        # decorator was used.
        current_frame = tb_frame.f_back
        sensitive_variables = None
        while current_frame is not None:
            if (current_frame.f_code.co_name == 'sensitive_variables_wrapper' and
                    'sensitive_variables_wrapper' in current_frame.f_locals):
                # The sensitive_variables decorator was used, so we take note
                # of the sensitive variables' names.
                wrapper = current_frame.f_locals['sensitive_variables_wrapper']
                sensitive_variables = getattr(wrapper, 'sensitive_variables', None)
                break
            current_frame = current_frame.f_back

        cleansed = {}
        if self.is_active(request) and sensitive_variables:
            if sensitive_variables == '__ALL__':
                # Cleanse all variables
                for name, value in tb_frame.f_locals.items():
                    cleansed[name] = CLEANSED_SUBSTITUTE
            else:
                # Cleanse specified variables
                for name, value in tb_frame.f_locals.items():
                    if name in sensitive_variables:
                        value = CLEANSED_SUBSTITUTE
                    else:
                        value = self.cleanse_special_types(request, value)
                    cleansed[name] = value
        else:
            # Potentially cleanse the request and any MultiValueDicts if they
            # are one of the frame variables.
            for name, value in tb_frame.f_locals.items():
                cleansed[name] = self.cleanse_special_types(request, value)

        if (tb_frame.f_code.co_name == 'sensitive_variables_wrapper' and
                'sensitive_variables_wrapper' in tb_frame.f_locals):
            # For good measure, obfuscate the decorated function's arguments in
            # the sensitive_variables decorator's frame, in case the variables
            # associated with those arguments were meant to be obfuscated from
            # the decorated function's frame.
            cleansed['func_args'] = CLEANSED_SUBSTITUTE
            cleansed['func_kwargs'] = CLEANSED_SUBSTITUTE

        return cleansed.items()