# Kod źródłowy modułu django.db.models.query_utils

    """
    Various data structures used in query construction.

    Factored out from django.db.models.query to avoid making the main module very
    large and/or so that they can be used by other modules without getting into
    circular import difficulties.
    """
    from __future__ import unicode_literals

    import inspect
    from collections import namedtuple

    from django.db.models.constants import LOOKUP_SEP
    from django.utils import tree
    from django.utils.lru_cache import lru_cache

    # PathInfo is used when converting lookups (fk__somecol). The contents
    # describe the relation in Model terms (model Options and Fields for both
    # sides of the relation. The join_field is the field backing the relation.
    PathInfo = namedtuple('PathInfo', 'from_opts to_opts target_fields join_field m2m direct')

    class InvalidQuery(Exception):
        """
        The query passed to raw isn't a safe query to use with raw.
        """
        pass

    def subclasses(cls):
        yield cls
        # Python 2 lacks 'yield from', which could replace the inner loop
        for subclass in cls.__subclasses__():
            # yield from subclasses(subclass)
            for item in subclasses(subclass):
                yield item

    class QueryWrapper(object):
        """
        A type that indicates the contents are an SQL fragment and the associate
        parameters. Can be used to pass opaque data to a where-clause, for example.
        """
        contains_aggregate = False

        def __init__(self, sql, params):
            self.data = sql, list(params)

        def as_sql(self, compiler=None, connection=None):
            return self.data

    class Q(tree.Node):
        """
        Encapsulates filters as objects that can then be combined logically (using
        `&` and `|`).
        """
        # Connection types
        AND = 'AND'
        OR = 'OR'
        default = AND

        def __init__(self, *args, **kwargs):
            super(Q, self).__init__(children=list(args) + list(kwargs.items()))

        def _combine(self, other, conn):
            if not isinstance(other, Q):
                raise TypeError(other)
            obj = type(self)()
            obj.connector = conn
            obj.add(self, conn)
            obj.add(other, conn)
            return obj

        def __or__(self, other):
            return self._combine(other, self.OR)

        def __and__(self, other):
            return self._combine(other, self.AND)

        def __invert__(self):
            obj = type(self)()
            obj.add(self, self.AND)
            obj.negate()
            return obj

        def resolve_expression(self, query=None, allow_joins=True, reuse=None, summarize=False, for_save=False):
            # We must promote any new joins to left outer joins so that when Q is
            # used as an expression, rows aren't filtered due to joins.
            clause, joins = query._add_q(self, reuse, allow_joins=allow_joins, split_subq=False)
            query.promote_joins(joins)
            return clause

    class DeferredAttribute(object):
        """
        A wrapper for a deferred-loading field. When the value is read from this
        object the first time, the query is executed.
        """
        def __init__(self, field_name, model):
            self.field_name = field_name

        def __get__(self, instance, cls=None):
            """
            Retrieves and caches the value from the datastore on the first lookup.
            Returns the cached value.
            """
            if instance is None:
                return self
            data = instance.__dict__
            if data.get(self.field_name, self) is self:
                # Let's see if the field is part of the parent chain. If so we
                # might be able to reuse the already loaded value. Refs #18343.
                val = self._check_parent_chain(instance, self.field_name)
                if val is None:
                    instance.refresh_from_db(fields=[self.field_name])
                    val = getattr(instance, self.field_name)
                data[self.field_name] = val
            return data[self.field_name]

        def _check_parent_chain(self, instance, name):
            """
            Check if the field value can be fetched from a parent field already
            loaded in the instance. This can be done if the to-be fetched
            field is a primary key field.
            """
            opts = instance._meta
            f = opts.get_field(name)
            link_field = opts.get_ancestor_link(f.model)
            if f.primary_key and f != link_field:
                return getattr(instance, link_field.attname)
            return None

    class RegisterLookupMixin(object):

        @classmethod
        def _get_lookup(cls, lookup_name):
            return cls.get_lookups().get(lookup_name, None)

        @classmethod
        @lru_cache(maxsize=None)
        def get_lookups(cls):
            class_lookups = [parent.__dict__.get('class_lookups', {}) for parent in inspect.getmro(cls)]
            return cls.merge_dicts(class_lookups)

        def get_lookup(self, lookup_name):
            from django.db.models.lookups import Lookup
            found = self._get_lookup(lookup_name)
            if found is None and hasattr(self, 'output_field'):
                return self.output_field.get_lookup(lookup_name)
            if found is not None and not issubclass(found, Lookup):
                return None
            return found

        def get_transform(self, lookup_name):
            from django.db.models.lookups import Transform
            found = self._get_lookup(lookup_name)
            if found is None and hasattr(self, 'output_field'):
                return self.output_field.get_transform(lookup_name)
            if found is not None and not issubclass(found, Transform):
                return None
            return found

        @staticmethod
        def merge_dicts(dicts):
            """
            Merge dicts in reverse to preference the order of the original list. e.g.,
            merge_dicts([a, b]) will preference the keys in 'a' over those in 'b'.
            """
            merged = {}
            for d in reversed(dicts):
                merged.update(d)
            return merged

        @classmethod
        def _clear_cached_lookups(cls):
            for subclass in subclasses(cls):
                subclass.get_lookups.cache_clear()

        @classmethod
        def register_lookup(cls, lookup, lookup_name=None):
            if lookup_name is None:
                lookup_name = lookup.lookup_name
            if 'class_lookups' not in cls.__dict__:
                cls.class_lookups = {}
            cls.class_lookups[lookup_name] = lookup
            cls._clear_cached_lookups()
            return lookup

        @classmethod
        def _unregister_lookup(cls, lookup, lookup_name=None):
            """
            Remove given lookup from cls lookups. For use in tests only as it's
            not thread-safe.
            """
            if lookup_name is None:
                lookup_name = lookup.lookup_name
            del cls.class_lookups[lookup_name]

    def select_related_descend(field, restricted, requested, load_fields, reverse=False):
        """
        Returns True if this field should be used to descend deeper for
        select_related() purposes. Used by both the query construction code
        (sql.query.fill_related_selections()) and the model instance creation code
        (query.get_klass_info()).

        Arguments:
         * field - the field to be checked
         * restricted - a boolean field, indicating if the field list has been
           manually restricted using a requested clause)
         * requested - The select_related() dictionary.
         * load_fields - the set of fields to be loaded on this model
         * reverse - boolean, True if we are checking a reverse select related
        """
        if not field.remote_field:
            return False
        if field.remote_field.parent_link and not reverse:
            return False
        if restricted:
            if reverse and field.related_query_name() not in requested:
                return False
            if not reverse and field.name not in requested:
                return False
        if not restricted and field.null:
            return False
        if load_fields:
            if field.attname not in load_fields:
                if restricted and field.name in requested:
                    raise InvalidQuery("Field %s.%s cannot be both deferred"
                                       " and traversed using select_related"
                                       " at the same time." %
                                       (field.model._meta.object_name, field.name))
        return True

    def refs_expression(lookup_parts, annotations):
        """
        A helper method to check if the lookup_parts contains references
        to the given annotations set. Because the LOOKUP_SEP is contained in the
        default annotation names we must check each prefix of the lookup_parts
        for a match.
        """
        for n in range(len(lookup_parts) + 1):
            level_n_lookup = LOOKUP_SEP.join(lookup_parts[0:n])
            if level_n_lookup in annotations and annotations[level_n_lookup]:
                return annotations[level_n_lookup], lookup_parts[n:]
        return False, ()

    def check_rel_lookup_compatibility(model, target_opts, field):
        """
        Check that self.model is compatible with target_opts. Compatibility
        is OK if:
          1) model and opts match (where proxy inheritance is removed)
          2) model is parent of opts' model or the other way around
        """
        def check(opts):
            return (
                model._meta.concrete_model == opts.concrete_model or
                opts.concrete_model in model._meta.get_parent_list() or
                model in opts.get_parent_list()
            )
        # If the field is a primary key, then doing a query against the field's
        # model is ok, too. Consider the case:
        # class Restaurant(models.Model):
        #     place = OnetoOneField(Place, primary_key=True):
        # Restaurant.objects.filter(pk__in=Restaurant.objects.all()).
        # If we didn't have the primary key check, then pk__in (== place__in) would
        # give Place's opts as the target opts, but Restaurant isn't compatible
        # with that. This logic applies only to primary keys, as when doing __in=qs,
        # we are going to turn this into __in=qs.values('pk') later on.
        return (
            check(target_opts) or
            (getattr(field, 'primary_key', False) and check(field.model._meta))
        )