Python django.conf.settings.items() Examples

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

def get_traceback_frame_variables(self, request, tb_frame):
        return list(tb_frame.f_locals.items()) 

def get_traceback_frame_variables(self, request, tb_frame):
        return list(tb_frame.f_locals.items()) 

def get_traceback_frame_variables(self, request, tb_frame):
        return list(tb_frame.f_locals.items()) 

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() 

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() 

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() 

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 

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() 

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() 

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()