def _inner(): if initial_delay: greenthread.sleep(initial_delay) try: while self._running: start = timeutils.utcnow() self.f(*self.args, **self.kw) end = timeutils.utcnow() if not self._running: break delay = interval - timeutils.delta_seconds(start, end) if delay <= 0: LOG.warn(_('task run outlasted interval by %s sec') % -delay) greenthread.sleep(delay if delay > 0 else 0) except LoopingCallDone as e: self.stop() done.send(e.retvalue) except Exception: LOG.exception(_('in fixed duration looping call')) done.send_exception(*sys.exc_info()) return else: done.send(True)
def _inner(): if initial_delay: greenthread.sleep(initial_delay) try: while self._running: start = timeutils.utcnow() self.f(*self.args, **self.kw) end = timeutils.utcnow() if not self._running: break delay = interval - timeutils.delta_seconds(start, end) if delay <= 0: LOG.warn( _('task run outlasted interval by %s sec') % -delay) greenthread.sleep(delay if delay > 0 else 0) except LoopingCallDone as e: self.stop() done.send(e.retvalue) except Exception: LOG.exception(_('in fixed duration looping call')) done.send_exception(*sys.exc_info()) return else: done.send(True)
def notify(context, publisher_id, event_type, priority, payload): """Sends a notification using the specified driver :param publisher_id: the source worker_type.host of the message :param event_type: the literal type of event (ex. Instance Creation) :param priority: patterned after the enumeration of Python logging levels in the set (DEBUG, WARN, INFO, ERROR, CRITICAL) :param payload: A python dictionary of attributes Outgoing message format includes the above parameters, and appends the following: message_id a UUID representing the id for this notification timestamp the GMT timestamp the notification was sent at The composite message will be constructed as a dictionary of the above attributes, which will then be sent via the transport mechanism defined by the driver. Message example:: {'message_id': str(uuid.uuid4()), 'publisher_id': 'compute.host1', 'timestamp': timeutils.utcnow(), 'priority': 'WARN', 'event_type': 'compute.create_instance', 'payload': {'instance_id': 12, ... }} """ if priority not in log_levels: raise BadPriorityException( _('%s not in valid priorities') % priority) # Ensure everything is JSON serializable. payload = jsonutils.to_primitive(payload, convert_instances=True) msg = dict(message_id=str(uuid.uuid4()), publisher_id=publisher_id, event_type=event_type, priority=priority, payload=payload, timestamp=str(timeutils.utcnow())) for driver in _get_drivers(): try: driver.notify(context, msg) except Exception as e: LOG.exception(_("Problem '%(e)s' attempting to " "send to notification system. " "Payload=%(payload)s") % dict(e=e, payload=payload))
def drop_old_duplicate_entries_from_table(migrate_engine, table_name, use_soft_delete, *uc_column_names): """Drop all old rows having the same values for columns in uc_columns. This method drop (or mark ad `deleted` if use_soft_delete is True) old duplicate rows form table with name `table_name`. :param migrate_engine: Sqlalchemy engine :param table_name: Table with duplicates :param use_soft_delete: If True - values will be marked as `deleted`, if False - values will be removed from table :param uc_column_names: Unique constraint columns """ meta = MetaData() meta.bind = migrate_engine table = Table(table_name, meta, autoload=True) columns_for_group_by = [table.c[name] for name in uc_column_names] columns_for_select = [func.max(table.c.id)] columns_for_select.extend(columns_for_group_by) duplicated_rows_select = select(columns_for_select, group_by=columns_for_group_by, having=func.count(table.c.id) > 1) for row in migrate_engine.execute(duplicated_rows_select): # NOTE(boris-42): Do not remove row that has the biggest ID. delete_condition = table.c.id != row[0] is_none = None # workaround for pyflakes delete_condition &= table.c.deleted_at == is_none for name in uc_column_names: delete_condition &= table.c[name] == row[name] rows_to_delete_select = select([table.c.id]).where(delete_condition) for row in migrate_engine.execute(rows_to_delete_select).fetchall(): LOG.info( _("Deleting duplicated row with id: %(id)s from table: " "%(table)s") % dict(id=row[0], table=table_name)) if use_soft_delete: delete_statement = table.update().\ where(delete_condition).\ values({ 'deleted': literal_column('id'), 'updated_at': literal_column('updated_at'), 'deleted_at': timeutils.utcnow() }) else: delete_statement = table.delete().where(delete_condition) migrate_engine.execute(delete_statement)
def drop_old_duplicate_entries_from_table(migrate_engine, table_name, use_soft_delete, *uc_column_names): """Drop all old rows having the same values for columns in uc_columns. This method drop (or mark ad `deleted` if use_soft_delete is True) old duplicate rows form table with name `table_name`. :param migrate_engine: Sqlalchemy engine :param table_name: Table with duplicates :param use_soft_delete: If True - values will be marked as `deleted`, if False - values will be removed from table :param uc_column_names: Unique constraint columns """ meta = MetaData() meta.bind = migrate_engine table = Table(table_name, meta, autoload=True) columns_for_group_by = [table.c[name] for name in uc_column_names] columns_for_select = [func.max(table.c.id)] columns_for_select.extend(columns_for_group_by) duplicated_rows_select = select(columns_for_select, group_by=columns_for_group_by, having=func.count(table.c.id) > 1) for row in migrate_engine.execute(duplicated_rows_select): # NOTE(boris-42): Do not remove row that has the biggest ID. delete_condition = table.c.id != row[0] is_none = None # workaround for pyflakes delete_condition &= table.c.deleted_at == is_none for name in uc_column_names: delete_condition &= table.c[name] == row[name] rows_to_delete_select = select([table.c.id]).where(delete_condition) for row in migrate_engine.execute(rows_to_delete_select).fetchall(): LOG.info(_("Deleting duplicated row with id: %(id)s from table: " "%(table)s") % dict(id=row[0], table=table_name)) if use_soft_delete: delete_statement = table.update().\ where(delete_condition).\ values({ 'deleted': literal_column('id'), 'updated_at': literal_column('updated_at'), 'deleted_at': timeutils.utcnow() }) else: delete_statement = table.delete().where(delete_condition) migrate_engine.execute(delete_statement)
def soft_delete(self, session=None): """Mark this object as deleted.""" self.update_and_save({'deleted_at': timeutils.utcnow()}, session=session)
def soft_delete(self, session=None): """Mark this object as deleted.""" self.update_and_save({'deleted_at': timeutils.utcnow()}, session=session)
def soft_delete(self, synchronize_session='evaluate'): return self.update({'deleted': literal_column('id'), 'updated_at': literal_column('updated_at'), 'deleted_at': timeutils.utcnow()}, synchronize_session=synchronize_session)
def soft_delete(self, session=None): """Mark this object as deleted.""" self.deleted = self.id self.deleted_at = timeutils.utcnow() self.save(session=session)
def soft_delete(self, session=None): """Mark this object as deleted.""" self.deleted = self.id self.deleted_at = timeutils.utcnow() self.save(session=session)
class TimestampMixin(object): created_at = Column(DateTime, default=lambda: timeutils.utcnow()) updated_at = Column(DateTime, onupdate=lambda: timeutils.utcnow())