Python where.AND属性代码示例

# 需要导入模块: from django.db.models.sql import where [as 别名]
# 或者: from django.db.models.sql.where import AND [as 别名]
def as_sql(self, compiler, connection):
        if isinstance(self.lhs, MultiColSource):
            # For multicolumn lookups we need to build a multicolumn where clause.
            # This clause is either a SubqueryConstraint (for values that need to be compiled to
            # SQL) or an OR-combined list of (col1 = val1 AND col2 = val2 AND ...) clauses.
            from django.db.models.sql.where import WhereNode, SubqueryConstraint, AND, OR

            root_constraint = WhereNode(connector=OR)
            if self.rhs_is_direct_value():
                values = [get_normalized_value(value, self.lhs) for value in self.rhs]
                for value in values:
                    value_constraint = WhereNode()
                    for source, target, val in zip(self.lhs.sources, self.lhs.targets, value):
                        lookup_class = target.get_lookup('exact')
                        lookup = lookup_class(target.get_col(self.lhs.alias, source), val)
                        value_constraint.add(lookup, AND)
                    root_constraint.add(value_constraint, OR)
            else:
                root_constraint.add(
                    SubqueryConstraint(
                        self.lhs.alias, [target.column for target in self.lhs.targets],
                        [source.name for source in self.lhs.sources], self.rhs),
                    AND)
            return root_constraint.as_sql(compiler, connection)
        else:
            if (not getattr(self.rhs, 'has_select_fields', True) and
                    not getattr(self.lhs.field.target_field, 'primary_key', False)):
                self.rhs.clear_select_clause()
                if (getattr(self.lhs.output_field, 'primary_key', False) and
                        self.lhs.output_field.model == self.rhs.model):
                    # A case like Restaurant.objects.filter(place__in=restaurant_qs),
                    # where place is a OneToOneField and the primary key of
                    # Restaurant.
                    target_field = self.lhs.field.name
                else:
                    target_field = self.lhs.field.target_field.name
                self.rhs.add_fields([target_field], True)
            return super().as_sql(compiler, connection) 

# 需要导入模块: from django.db.models.sql import where [as 别名]
# 或者: from django.db.models.sql.where import AND [as 别名]
def get_extra_restriction(self, where_class, alias, related_alias):
        constraint = WhereNode(connector=AND)
        for remote, local in self._raw_fields.items():
            lookup = local.get_lookup(self, self.related_model._meta.get_field(remote), alias)
            if lookup:
                constraint.add(lookup, AND)
        if constraint.children:
            return constraint
        else:
            return None 

# 需要导入模块: from django.db.models.sql import where [as 别名]
# 或者: from django.db.models.sql.where import AND [as 别名]
def as_sql(self, compiler, connection):
        if isinstance(self.lhs, MultiColSource):
            # For multicolumn lookups we need to build a multicolumn where clause.
            # This clause is either a SubqueryConstraint (for values that need to be compiled to
            # SQL) or a OR-combined list of (col1 = val1 AND col2 = val2 AND ...) clauses.
            from django.db.models.sql.where import WhereNode, SubqueryConstraint, AND, OR

            root_constraint = WhereNode(connector=OR)
            if self.rhs_is_direct_value():
                values = [get_normalized_value(value, self.lhs) for value in self.rhs]
                for value in values:
                    value_constraint = WhereNode()
                    for source, target, val in zip(self.lhs.sources, self.lhs.targets, value):
                        lookup_class = target.get_lookup('exact')
                        lookup = lookup_class(target.get_col(self.lhs.alias, source), val)
                        value_constraint.add(lookup, AND)
                    root_constraint.add(value_constraint, OR)
            else:
                root_constraint.add(
                    SubqueryConstraint(
                        self.lhs.alias, [target.column for target in self.lhs.targets],
                        [source.name for source in self.lhs.sources], self.rhs),
                    AND)
            return root_constraint.as_sql(compiler, connection)
        else:
            if (getattr(self.rhs, '_forced_pk', False) and
                    not getattr(self.lhs.field.target_field, 'primary_key', False)):
                self.rhs.clear_select_clause()
                if (getattr(self.lhs.output_field, 'primary_key', False) and
                        self.lhs.output_field.model == self.rhs.model):
                    # A case like Restaurant.objects.filter(place__in=restaurant_qs),
                    # where place is a OneToOneField and the primary key of
                    # Restaurant.
                    target_field = self.lhs.field.name
                else:
                    target_field = self.lhs.field.target_field.name
                self.rhs.add_fields([target_field], True)
            return super(RelatedIn, self).as_sql(compiler, connection) 

# 需要导入模块: from django.db.models.sql import where [as 别名]
# 或者: from django.db.models.sql.where import AND [as 别名]
def delete_batch(self, pk_list, using, field=None):
        """
        Set up and execute delete queries for all the objects in pk_list.

        More than one physical query may be executed if there are a
        lot of values in pk_list.
        """
        if not field:
            field = self.model._meta.pk
        for offset in range(0, len(pk_list), GET_ITERATOR_CHUNK_SIZE):
            where = self.where_class()
            where.add((Constraint(None, field.column, field), 'in',
                    pk_list[offset:offset + GET_ITERATOR_CHUNK_SIZE]), AND)
            self.do_query(self.model._meta.db_table, where, using=using) 

# 需要导入模块: from django.db.models.sql import where [as 别名]
# 或者: from django.db.models.sql.where import AND [as 别名]
def delete_qs(self, query, using):
        """
        Delete the queryset in one SQL query (if possible). For simple queries
        this is done by copying the query.query.where to self.query, for
        complex queries by using subquery.
        """
        innerq = query.query
        # Make sure the inner query has at least one table in use.
        innerq.get_initial_alias()
        # The same for our new query.
        self.get_initial_alias()
        innerq_used_tables = [t for t in innerq.tables
                              if innerq.alias_refcount[t]]
        if ((not innerq_used_tables or innerq_used_tables == self.tables)
            and not len(innerq.having)):
            # There is only the base table in use in the query, and there are
            # no aggregate filtering going on.
            self.where = innerq.where
        else:
            pk = query.model._meta.pk
            if not connections[using].features.update_can_self_select:
                # We can't do the delete using subquery.
                values = list(query.values_list('pk', flat=True))
                if not values:
                    return
                self.delete_batch(values, using)
                return
            else:
                innerq.clear_select_clause()
                innerq.select, innerq.select_fields = [(self.get_initial_alias(), pk.column)], [None]
                values = innerq
            where = self.where_class()
            where.add((Constraint(None, pk.column, pk), 'in', values), AND)
            self.where = where
        self.get_compiler(using).execute_sql(None) 

# 需要导入模块: from django.db.models.sql import where [as 别名]
# 或者: from django.db.models.sql.where import AND [as 别名]
def update_batch(self, pk_list, values, using):
        pk_field = self.model._meta.pk
        self.add_update_values(values)
        for offset in range(0, len(pk_list), GET_ITERATOR_CHUNK_SIZE):
            self.where = self.where_class()
            self.where.add((Constraint(None, pk_field.column, pk_field), 'in',
                    pk_list[offset:offset + GET_ITERATOR_CHUNK_SIZE]),
                    AND)
            self.get_compiler(using).execute_sql(None) 

# 需要导入模块: from django.db.models.sql import where [as 别名]
# 或者: from django.db.models.sql.where import AND [as 别名]
def as_sql(self, compiler, connection):
        if isinstance(self.lhs, MultiColSource):
            # For multicolumn lookups we need to build a multicolumn where clause.
            # This clause is either a SubqueryConstraint (for values that need to be compiled to
            # SQL) or a OR-combined list of (col1 = val1 AND col2 = val2 AND ...) clauses.
            from django.db.models.sql.where import WhereNode, SubqueryConstraint, AND, OR

            root_constraint = WhereNode(connector=OR)
            if self.rhs_is_direct_value():
                values = [get_normalized_value(value, self.lhs) for value in self.rhs]
                for value in values:
                    value_constraint = WhereNode()
                    for source, target, val in zip(self.lhs.sources, self.lhs.targets, value):
                        lookup_class = target.get_lookup('exact')
                        lookup = lookup_class(target.get_col(self.lhs.alias, source), val)
                        value_constraint.add(lookup, AND)
                    root_constraint.add(value_constraint, OR)
            else:
                root_constraint.add(
                    SubqueryConstraint(
                        self.lhs.alias, [target.column for target in self.lhs.targets],
                        [source.name for source in self.lhs.sources], self.rhs),
                    AND)
            return root_constraint.as_sql(compiler, connection)
        else:
            return super(RelatedIn, self).as_sql(compiler, connection) 

# 需要导入模块: from django.db.models.sql import where [as 别名]
# 或者: from django.db.models.sql.where import AND [as 别名]
def get_lookup_constraint(self, constraint_class, alias, targets, sources, lookups,
                              raw_value):
        from django.db.models.sql.where import SubqueryConstraint, AND, OR
        root_constraint = constraint_class()
        assert len(targets) == len(sources)
        if len(lookups) > 1:
            raise exceptions.FieldError('Relation fields do not support nested lookups')
        lookup_type = lookups[0]

        def get_normalized_value(value):
            from django.db.models import Model
            if isinstance(value, Model):
                value_list = []
                for source in sources:
                    # Account for one-to-one relations when sent a different model
                    while not isinstance(value, source.model) and source.rel:
                        source = source.rel.to._meta.get_field(source.rel.field_name)
                    value_list.append(getattr(value, source.attname))
                return tuple(value_list)
            elif not isinstance(value, tuple):
                return (value,)
            return value

        is_multicolumn = len(self.related_fields) > 1
        if (hasattr(raw_value, '_as_sql') or
                hasattr(raw_value, 'get_compiler')):
            root_constraint.add(SubqueryConstraint(alias, [target.column for target in targets],
                                                   [source.name for source in sources], raw_value),
                                AND)
        elif lookup_type == 'isnull':
            root_constraint.add(IsNull(targets[0].get_col(alias, sources[0]), raw_value), AND)
        elif (lookup_type == 'exact' or (lookup_type in ['gt', 'lt', 'gte', 'lte']
                                         and not is_multicolumn)):
            value = get_normalized_value(raw_value)
            for target, source, val in zip(targets, sources, value):
                lookup_class = target.get_lookup(lookup_type)
                root_constraint.add(
                    lookup_class(target.get_col(alias, source), val), AND)
        elif lookup_type in ['range', 'in'] and not is_multicolumn:
            values = [get_normalized_value(value) for value in raw_value]
            value = [val[0] for val in values]
            lookup_class = targets[0].get_lookup(lookup_type)
            root_constraint.add(lookup_class(targets[0].get_col(alias, sources[0]), value), AND)
        elif lookup_type == 'in':
            values = [get_normalized_value(value) for value in raw_value]
            for value in values:
                value_constraint = constraint_class()
                for source, target, val in zip(sources, targets, value):
                    lookup_class = target.get_lookup('exact')
                    lookup = lookup_class(target.get_col(alias, source), val)
                    value_constraint.add(lookup, AND)
                root_constraint.add(value_constraint, OR)
        else:
            raise TypeError('Related Field got invalid lookup: %s' % lookup_type)
        return root_constraint