from collections import Counter, OrderedDict
from itertools import chain
from operator import attrgetter

from django.db import IntegrityError, connections, transaction
from django.db.models import signals, sql
from django.utils import six


class ProtectedError(IntegrityError):
    def __init__(self, msg, protected_objects):
        self.protected_objects = protected_objects
        super(ProtectedError, self).__init__(msg, protected_objects)


def CASCADE(collector, field, sub_objs, using):
    collector.collect(sub_objs, source=field.remote_field.model,
                      source_attr=field.name, nullable=field.null)
    if field.null and not connections[using].features.can_defer_constraint_checks:
        collector.add_field_update(field, None, sub_objs)


def PROTECT(collector, field, sub_objs, using):
    raise ProtectedError("Cannot delete some instances of model '%s' because "
        "they are referenced through a protected foreign key: '%s.%s'" % (
            field.remote_field.model.__name__, sub_objs[0].__class__.__name__, field.name
        ),
        sub_objs
    )


def SET(value):
    if callable(value):
        def set_on_delete(collector, field, sub_objs, using):
            collector.add_field_update(field, value(), sub_objs)
    else:
        def set_on_delete(collector, field, sub_objs, using):
            collector.add_field_update(field, value, sub_objs)
    set_on_delete.deconstruct = lambda: ('django.db.models.SET', (value,), {})
    return set_on_delete


def SET_NULL(collector, field, sub_objs, using):
    collector.add_field_update(field, None, sub_objs)


def SET_DEFAULT(collector, field, sub_objs, using):
    collector.add_field_update(field, field.get_default(), sub_objs)


def DO_NOTHING(collector, field, sub_objs, using):
    pass


def get_candidate_relations_to_delete(opts):
    # Collect models that contain candidate relations to delete. This may include
    # relations coming from proxy models.
    candidate_models = {opts}
    candidate_models = candidate_models.union(opts.concrete_model._meta.proxied_children)
    # For each model, get all candidate fields.
    candidate_model_fields = set(chain.from_iterable(
        opts.get_fields(include_hidden=True) for opts in candidate_models
    ))
    # The candidate relations are the ones that come from N-1 and 1-1 relations.
    # N-N  (i.e., many-to-many) relations aren't candidates for deletion.
    return (
        f for f in candidate_model_fields
        if f.auto_created and not f.concrete and (f.one_to_one or f.one_to_many)
    )


class Collector(object):
    def __init__(self, using):
        self.using = using
        # Initially, {model: {instances}}, later values become lists.
        self.data = {}
        self.field_updates = {}  # {model: {(field, value): {instances}}}
        # fast_deletes is a list of queryset-likes that can be deleted without
        # fetching the objects into memory.
        self.fast_deletes = []

        # Tracks deletion-order dependency for databases without transactions
        # or ability to defer constraint checks. Only concrete model classes
        # should be included, as the dependencies exist only between actual
        # database tables; proxy models are represented here by their concrete
        # parent.
        self.dependencies = {}  # {model: {models}}

    def add(self, objs, source=None, nullable=False, reverse_dependency=False):
        """
        Adds 'objs' to the collection of objects to be deleted.  If the call is
        the result of a cascade, 'source' should be the model that caused it,
        and 'nullable' should be set to True if the relation can be null.

        Returns a list of all objects that were not already collected.
        """
        if not objs:
            return []
        new_objs = []
        model = objs[0].__class__
        instances = self.data.setdefault(model, set())
        for obj in objs:
            if obj not in instances:
                new_objs.append(obj)
        instances.update(new_objs)
        # Nullable relationships can be ignored -- they are nulled out before
        # deleting, and therefore do not affect the order in which objects have
        # to be deleted.
        if source is not None and not nullable:
            if reverse_dependency:
                source, model = model, source
            self.dependencies.setdefault(
                source._meta.concrete_model, set()).add(model._meta.concrete_model)
        return new_objs

    def add_field_update(self, field, value, objs):
        """
        Schedules a field update. 'objs' must be a homogeneous iterable
        collection of model instances (e.g. a QuerySet).
        """
        if not objs:
            return
        model = objs[0].__class__
        self.field_updates.setdefault(
            model, {}).setdefault(
            (field, value), set()).update(objs)

    def can_fast_delete(self, objs, from_field=None):
        """
        Determines if the objects in the given queryset-like can be
        fast-deleted. This can be done if there are no cascades, no
        parents and no signal listeners for the object class.

        The 'from_field' tells where we are coming from - we need this to
        determine if the objects are in fact to be deleted. Allows also
        skipping parent -> child -> parent chain preventing fast delete of
        the child.
        """
        if from_field and from_field.remote_field.on_delete is not CASCADE:
            return False
        if not (hasattr(objs, 'model') and hasattr(objs, '_raw_delete')):
            return False
        model = objs.model
        if (signals.pre_delete.has_listeners(model)
                or signals.post_delete.has_listeners(model)
                or signals.m2m_changed.has_listeners(model)):
            return False
        # The use of from_field comes from the need to avoid cascade back to
        # parent when parent delete is cascading to child.
        opts = model._meta
        if any(link != from_field for link in opts.concrete_model._meta.parents.values()):
            return False
        # Foreign keys pointing to this model, both from m2m and other
        # models.
        for related in get_candidate_relations_to_delete(opts):
            if related.field.remote_field.on_delete is not DO_NOTHING:
                return False
        for field in model._meta.virtual_fields:
            if hasattr(field, 'bulk_related_objects'):
                # It's something like generic foreign key.
                return False
        return True

    def get_del_batches(self, objs, field):
        """
        Returns the objs in suitably sized batches for the used connection.
        """
        conn_batch_size = max(
            connections[self.using].ops.bulk_batch_size([field.name], objs), 1)
        if len(objs) > conn_batch_size:
            return [objs[i:i + conn_batch_size]
                    for i in range(0, len(objs), conn_batch_size)]
        else:
            return [objs]

    def collect(self, objs, source=None, nullable=False, collect_related=True,
            source_attr=None, reverse_dependency=False, keep_parents=False):
        """
        Adds 'objs' to the collection of objects to be deleted as well as all
        parent instances.  'objs' must be a homogeneous iterable collection of
        model instances (e.g. a QuerySet).  If 'collect_related' is True,
        related objects will be handled by their respective on_delete handler.

        If the call is the result of a cascade, 'source' should be the model
        that caused it and 'nullable' should be set to True, if the relation
        can be null.

        If 'reverse_dependency' is True, 'source' will be deleted before the
        current model, rather than after. (Needed for cascading to parent
        models, the one case in which the cascade follows the forwards
        direction of an FK rather than the reverse direction.)

        If 'keep_parents' is True, data of parent model's will be not deleted.
        """
        if self.can_fast_delete(objs):
            self.fast_deletes.append(objs)
            return
        new_objs = self.add(objs, source, nullable,
                            reverse_dependency=reverse_dependency)
        if not new_objs:
            return

        model = new_objs[0].__class__

        if not keep_parents:
            # Recursively collect concrete model's parent models, but not their
            # related objects. These will be found by meta.get_fields()
            concrete_model = model._meta.concrete_model
            for ptr in six.itervalues(concrete_model._meta.parents):
                if ptr:
                    # FIXME: This seems to be buggy and execute a query for each
                    # parent object fetch. We have the parent data in the obj,
                    # but we don't have a nice way to turn that data into parent
                    # object instance.
                    parent_objs = [getattr(obj, ptr.name) for obj in new_objs]
                    self.collect(parent_objs, source=model,
                                 source_attr=ptr.remote_field.related_name,
                                 collect_related=False,
                                 reverse_dependency=True)
        if collect_related:
            for related in get_candidate_relations_to_delete(model._meta):
                field = related.field
                if field.remote_field.on_delete == DO_NOTHING:
                    continue
                batches = self.get_del_batches(new_objs, field)
                for batch in batches:
                    sub_objs = self.related_objects(related, batch)
                    if self.can_fast_delete(sub_objs, from_field=field):
                        self.fast_deletes.append(sub_objs)
                    elif sub_objs:
                        field.remote_field.on_delete(self, field, sub_objs, self.using)
            for field in model._meta.virtual_fields:
                if hasattr(field, 'bulk_related_objects'):
                    # It's something like generic foreign key.
                    sub_objs = field.bulk_related_objects(new_objs, self.using)
                    self.collect(sub_objs, source=model, nullable=True)

    def related_objects(self, related, objs):
        """
        Gets a QuerySet of objects related to ``objs`` via the relation ``related``.
        """
        return related.related_model._base_manager.using(self.using).filter(
            **{"%s__in" % related.field.name: objs}
        )

    def instances_with_model(self):
        for model, instances in six.iteritems(self.data):
            for obj in instances:
                yield model, obj

    def sort(self):
        sorted_models = []
        concrete_models = set()
        models = list(self.data)
        while len(sorted_models) < len(models):
            found = False
            for model in models:
                if model in sorted_models:
                    continue
                dependencies = self.dependencies.get(model._meta.concrete_model)
                if not (dependencies and dependencies.difference(concrete_models)):
                    sorted_models.append(model)
                    concrete_models.add(model._meta.concrete_model)
                    found = True
            if not found:
                return
        self.data = OrderedDict((model, self.data[model])
                                for model in sorted_models)

    def delete(self):
        # sort instance collections
        for model, instances in self.data.items():
            self.data[model] = sorted(instances, key=attrgetter("pk"))

        # if possible, bring the models in an order suitable for databases that
        # don't support transactions or cannot defer constraint checks until the
        # end of a transaction.
        self.sort()
        # number of objects deleted for each model label
        deleted_counter = Counter()

        with transaction.atomic(using=self.using, savepoint=False):
            # send pre_delete signals
            for model, obj in self.instances_with_model():
                if not model._meta.auto_created:
                    signals.pre_delete.send(
                        sender=model, instance=obj, using=self.using
                    )

            # fast deletes
            for qs in self.fast_deletes:
                count = qs._raw_delete(using=self.using)
                deleted_counter[qs.model._meta.label] += count

            # update fields
            for model, instances_for_fieldvalues in six.iteritems(self.field_updates):
                query = sql.UpdateQuery(model)
                for (field, value), instances in six.iteritems(instances_for_fieldvalues):
                    query.update_batch([obj.pk for obj in instances],
                                       {field.name: value}, self.using)

            # reverse instance collections
            for instances in six.itervalues(self.data):
                instances.reverse()

            # delete instances
            for model, instances in six.iteritems(self.data):
                query = sql.DeleteQuery(model)
                pk_list = [obj.pk for obj in instances]
                count = query.delete_batch(pk_list, self.using)
                deleted_counter[model._meta.label] += count

                if not model._meta.auto_created:
                    for obj in instances:
                        signals.post_delete.send(
                            sender=model, instance=obj, using=self.using
                        )

        # update collected instances
        for model, instances_for_fieldvalues in six.iteritems(self.field_updates):
            for (field, value), instances in six.iteritems(instances_for_fieldvalues):
                for obj in instances:
                    setattr(obj, field.attname, value)
        for model, instances in six.iteritems(self.data):
            for instance in instances:
                setattr(instance, model._meta.pk.attname, None)
        return sum(deleted_counter.values()), dict(deleted_counter)