mirror of https://github.com/morpheus65535/bazarr
253 lines
8.9 KiB
Python
253 lines
8.9 KiB
Python
from peewee import *
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from peewee import Alias
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from peewee import CompoundSelectQuery
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from peewee import SENTINEL
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from peewee import callable_
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_clone_set = lambda s: set(s) if s else set()
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def model_to_dict(model, recurse=True, backrefs=False, only=None,
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exclude=None, seen=None, extra_attrs=None,
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fields_from_query=None, max_depth=None, manytomany=False):
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"""
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Convert a model instance (and any related objects) to a dictionary.
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:param bool recurse: Whether foreign-keys should be recursed.
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:param bool backrefs: Whether lists of related objects should be recursed.
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:param only: A list (or set) of field instances indicating which fields
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should be included.
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:param exclude: A list (or set) of field instances that should be
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excluded from the dictionary.
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:param list extra_attrs: Names of model instance attributes or methods
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that should be included.
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:param SelectQuery fields_from_query: Query that was source of model. Take
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fields explicitly selected by the query and serialize them.
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:param int max_depth: Maximum depth to recurse, value <= 0 means no max.
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:param bool manytomany: Process many-to-many fields.
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"""
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max_depth = -1 if max_depth is None else max_depth
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if max_depth == 0:
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recurse = False
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only = _clone_set(only)
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extra_attrs = _clone_set(extra_attrs)
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should_skip = lambda n: (n in exclude) or (only and (n not in only))
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if fields_from_query is not None:
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for item in fields_from_query._returning:
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if isinstance(item, Field):
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only.add(item)
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elif isinstance(item, Alias):
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extra_attrs.add(item._alias)
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data = {}
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exclude = _clone_set(exclude)
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seen = _clone_set(seen)
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exclude |= seen
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model_class = type(model)
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if manytomany:
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for name, m2m in model._meta.manytomany.items():
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if should_skip(name):
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continue
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exclude.update((m2m, m2m.rel_model._meta.manytomany[m2m.backref]))
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for fkf in m2m.through_model._meta.refs:
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exclude.add(fkf)
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accum = []
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for rel_obj in getattr(model, name):
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accum.append(model_to_dict(
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rel_obj,
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recurse=recurse,
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backrefs=backrefs,
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only=only,
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exclude=exclude,
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max_depth=max_depth - 1))
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data[name] = accum
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for field in model._meta.sorted_fields:
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if should_skip(field):
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continue
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field_data = model.__data__.get(field.name)
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if isinstance(field, ForeignKeyField) and recurse:
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if field_data is not None:
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seen.add(field)
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rel_obj = getattr(model, field.name)
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field_data = model_to_dict(
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rel_obj,
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recurse=recurse,
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backrefs=backrefs,
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only=only,
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exclude=exclude,
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seen=seen,
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max_depth=max_depth - 1)
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else:
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field_data = None
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data[field.name] = field_data
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if extra_attrs:
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for attr_name in extra_attrs:
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attr = getattr(model, attr_name)
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if callable_(attr):
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data[attr_name] = attr()
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else:
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data[attr_name] = attr
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if backrefs and recurse:
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for foreign_key, rel_model in model._meta.backrefs.items():
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if foreign_key.backref == '+': continue
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descriptor = getattr(model_class, foreign_key.backref)
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if descriptor in exclude or foreign_key in exclude:
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continue
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if only and (descriptor not in only) and (foreign_key not in only):
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continue
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accum = []
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exclude.add(foreign_key)
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related_query = getattr(model, foreign_key.backref)
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for rel_obj in related_query:
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accum.append(model_to_dict(
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rel_obj,
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recurse=recurse,
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backrefs=backrefs,
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only=only,
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exclude=exclude,
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max_depth=max_depth - 1))
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data[foreign_key.backref] = accum
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return data
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def update_model_from_dict(instance, data, ignore_unknown=False):
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meta = instance._meta
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backrefs = dict([(fk.backref, fk) for fk in meta.backrefs])
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for key, value in data.items():
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if key in meta.combined:
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field = meta.combined[key]
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is_backref = False
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elif key in backrefs:
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field = backrefs[key]
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is_backref = True
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elif ignore_unknown:
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setattr(instance, key, value)
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continue
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else:
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raise AttributeError('Unrecognized attribute "%s" for model '
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'class %s.' % (key, type(instance)))
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is_foreign_key = isinstance(field, ForeignKeyField)
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if not is_backref and is_foreign_key and isinstance(value, dict):
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try:
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rel_instance = instance.__rel__[field.name]
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except KeyError:
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rel_instance = field.rel_model()
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setattr(
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instance,
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field.name,
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update_model_from_dict(rel_instance, value, ignore_unknown))
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elif is_backref and isinstance(value, (list, tuple)):
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instances = [
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dict_to_model(field.model, row_data, ignore_unknown)
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for row_data in value]
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for rel_instance in instances:
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setattr(rel_instance, field.name, instance)
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setattr(instance, field.backref, instances)
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else:
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setattr(instance, field.name, value)
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return instance
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def dict_to_model(model_class, data, ignore_unknown=False):
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return update_model_from_dict(model_class(), data, ignore_unknown)
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class ReconnectMixin(object):
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"""
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Mixin class that attempts to automatically reconnect to the database under
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certain error conditions.
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For example, MySQL servers will typically close connections that are idle
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for 28800 seconds ("wait_timeout" setting). If your application makes use
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of long-lived connections, you may find your connections are closed after
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a period of no activity. This mixin will attempt to reconnect automatically
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when these errors occur.
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This mixin class probably should not be used with Postgres (unless you
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REALLY know what you are doing) and definitely has no business being used
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with Sqlite. If you wish to use with Postgres, you will need to adapt the
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`reconnect_errors` attribute to something appropriate for Postgres.
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"""
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reconnect_errors = (
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# Error class, error message fragment (or empty string for all).
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(OperationalError, '2006'), # MySQL server has gone away.
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(OperationalError, '2013'), # Lost connection to MySQL server.
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(OperationalError, '2014'), # Commands out of sync.
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# mysql-connector raises a slightly different error when an idle
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# connection is terminated by the server. This is equivalent to 2013.
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(OperationalError, 'MySQL Connection not available.'),
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)
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def __init__(self, *args, **kwargs):
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super(ReconnectMixin, self).__init__(*args, **kwargs)
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# Normalize the reconnect errors to a more efficient data-structure.
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self._reconnect_errors = {}
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for exc_class, err_fragment in self.reconnect_errors:
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self._reconnect_errors.setdefault(exc_class, [])
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self._reconnect_errors[exc_class].append(err_fragment.lower())
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def execute_sql(self, sql, params=None, commit=SENTINEL):
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try:
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return super(ReconnectMixin, self).execute_sql(sql, params, commit)
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except Exception as exc:
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exc_class = type(exc)
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if exc_class not in self._reconnect_errors:
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raise exc
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exc_repr = str(exc).lower()
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for err_fragment in self._reconnect_errors[exc_class]:
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if err_fragment in exc_repr:
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break
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else:
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raise exc
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if not self.is_closed():
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self.close()
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self.connect()
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return super(ReconnectMixin, self).execute_sql(sql, params, commit)
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def resolve_multimodel_query(query, key='_model_identifier'):
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mapping = {}
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accum = [query]
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while accum:
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curr = accum.pop()
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if isinstance(curr, CompoundSelectQuery):
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accum.extend((curr.lhs, curr.rhs))
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continue
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model_class = curr.model
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name = model_class._meta.table_name
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mapping[name] = model_class
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curr._returning.append(Value(name).alias(key))
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def wrapped_iterator():
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for row in query.dicts().iterator():
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identifier = row.pop(key)
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model = mapping[identifier]
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yield model(**row)
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return wrapped_iterator()
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