def testClearTemporary(self):
dm = DirManager(self.path)
task_id = '12345'
tmp_dir = dm.get_task_temporary_dir(task_id)
self.assertTrue(os.path.isdir(tmp_dir))
file1 = os.path.join(tmp_dir, 'file1')
file2 = os.path.join(tmp_dir, 'file2')
dir1 = os.path.join(tmp_dir, 'dir1')
file3 = os.path.join(dir1, 'file3')
open(file1, 'w').close()
open(file2, 'w').close()
if not os.path.isdir(dir1):
os.mkdir(dir1)
open(file3, 'w').close()
self.assertTrue(os.path.isfile(file1))
self.assertTrue(os.path.isfile(file2))
self.assertTrue(os.path.isfile(file3))
self.assertTrue(os.path.isdir(dir1))
dm.clear_temporary(task_id)
self.assertTrue(os.path.isdir(tmp_dir))
self.assertFalse(os.path.isfile(file1))
self.assertFalse(os.path.isfile(file2))
self.assertFalse(os.path.isfile(file3))
self.assertFalse(os.path.isdir(dir1))
class TaskManager(TaskEventListener):
""" Keeps and manages information about requested tasks
"""
handle_task_key_error = HandleKeyError(log_task_key_error)
handle_subtask_key_error = HandleKeyError(log_subtask_key_error)
def __init__(self,
node_name,
node,
keys_auth,
listen_address="",
listen_port=0,
root_path="res",
use_distributed_resources=True,
tasks_dir="tasks",
task_persistence=False):
super(TaskManager, self).__init__()
self.apps_manager = AppsManager()
self.apps_manager.load_apps()
apps = self.apps_manager.apps.values()
task_types = [app.task_type_info(None, app.controller) for app in apps]
self.task_types = {t.name.lower(): t for t in task_types}
self.node_name = node_name
self.node = node
self.keys_auth = keys_auth
self.key_id = keys_auth.get_key_id()
self.tasks = {}
self.tasks_states = {}
self.subtask2task_mapping = {}
self.listen_address = listen_address
self.listen_port = listen_port
# FIXME Remove this variable and make task persistance obligatory after it is more tested
# Remember to also remove it from init params
self.task_persistence = task_persistence
self.tasks_dir = Path(tasks_dir)
if not self.tasks_dir.is_dir():
self.tasks_dir.mkdir(parents=True)
self.root_path = root_path
self.dir_manager = DirManager(self.get_task_manager_root())
# resource_manager = OpenStackSwiftResourceManager(self.dir_manager,
# resource_dir_method=self.dir_manager.get_task_temporary_dir)
resource_manager = HyperdriveResourceManager(
self.dir_manager,
resource_dir_method=self.dir_manager.get_task_temporary_dir)
self.task_result_manager = EncryptedResultPackageManager(
resource_manager)
self.activeStatus = [
TaskStatus.computing, TaskStatus.starting, TaskStatus.waiting
]
self.use_distributed_resources = use_distributed_resources
self.comp_task_keeper = CompTaskKeeper(self.tasks_dir,
persist=self.task_persistence)
if self.task_persistence:
self.restore_tasks()
def get_task_manager_root(self):
return self.root_path
def get_external_address(self):
request = AsyncRequest(get_external_address, self.listen_port)
return async_run(request)
def create_task(self, dictionary):
# FIXME: remove after the new interface has been integrated with
if not isinstance(dictionary, dict):
return dictionary
type_name = dictionary['type'].lower()
task_type = self.task_types[type_name]
builder_type = task_type.task_builder_type
definition = builder_type.build_definition(task_type, dictionary)
builder = builder_type(self.node_name, definition, self.root_path,
self.dir_manager)
return Task.build_task(builder)
def get_task_definition_dict(self, task):
if isinstance(task, dict):
return task
definition = task.task_definition
task_type = self.task_types[definition.task_type.lower()]
return task_type.task_builder_type.build_dictionary(definition)
@inlineCallbacks
def add_new_task(self, task):
if task.header.task_id in self.tasks:
raise RuntimeError("Task has been already added")
if not self.key_id:
raise ValueError("'key_id' is not set")
if not SocketAddress.is_proper_address(self.listen_address,
self.listen_port):
raise IOError("Incorrect socket address")
prev_pub_addr, prev_pub_port, prev_nat_type = self.node.pub_addr, self.node.pub_port, self.node.nat_type
self.node.pub_addr, self.node.pub_port, self.node.nat_type = yield self.get_external_address(
)
if prev_pub_addr != self.node.pub_addr or \
prev_pub_port != self.node.pub_port or \
prev_nat_type != self.node.nat_type:
self.update_task_signatures()
task.header.task_owner_address = self.listen_address
task.header.task_owner_port = self.listen_port
task.header.task_owner_key_id = self.key_id
task.header.task_owner = self.node
task.header.signature = self.sign_task_header(task.header)
self.dir_manager.clear_temporary(task.header.task_id,
undeletable=task.undeletable)
self.dir_manager.get_task_temporary_dir(task.header.task_id,
create=True)
task.register_listener(self)
task.task_status = TaskStatus.waiting
self.tasks[task.header.task_id] = task
ts = TaskState()
ts.status = TaskStatus.waiting
ts.outputs = task.get_output_names()
ts.total_subtasks = task.get_total_tasks()
ts.time_started = time.time()
self.tasks_states[task.header.task_id] = ts
if self.task_persistence:
self.dump_task(task.header.task_id)
logger.info("Task {} added".format(task.header.task_id))
self.notice_task_updated(task.header.task_id)
def dump_task(self, task_id):
logger.debug('DUMP TASK')
try:
data = self.tasks[task_id], self.tasks_states[task_id]
filepath = self.tasks_dir / ('%s.pickle' % (task_id, ))
logger.debug('DUMP TASK %r', filepath)
with filepath.open('wb') as f:
pickle.dump(data, f, protocol=2)
except:
logger.exception('DUMP ERROR task_id: %r task: %r state: %r',
task_id, self.tasks.get(task_id, '<not found>'),
self.tasks_states.get(task_id, '<not found>'))
if filepath.exists():
filepath.unlink()
raise
def restore_tasks(self):
logger.debug('RESTORE TASKS')
for path in self.tasks_dir.iterdir():
logger.debug('RESTORE TASKS %r', path)
if not path.suffix == '.pickle':
continue
logger.debug('RESTORE TASKS really %r', path)
with path.open('rb') as f:
try:
task, state = pickle.load(f)
self.tasks[task.header.task_id] = task
self.tasks_states[task.header.task_id] = state
except (pickle.UnpicklingError, EOFError, ImportError):
logger.exception('Problem restoring task from: %s', path)
path.unlink()
continue
dispatcher.send(signal='golem.taskmanager',
event='task_restored',
task=task,
state=state)
@handle_task_key_error
def resources_send(self, task_id):
self.tasks_states[task_id].status = TaskStatus.waiting
self.tasks[task_id].task_status = TaskStatus.waiting
self.notice_task_updated(task_id)
logger.info("Resources for task {} sent".format(task_id))
def get_next_subtask(self,
node_id,
node_name,
task_id,
estimated_performance,
price,
max_resource_size,
max_memory_size,
num_cores=0,
address=""):
""" Assign next subtask from task <task_id> to node with given id <node_id> and name. If subtask is assigned
the function is returning a tuple (
:param node_id:
:param node_name:
:param task_id:
:param estimated_performance:
:param price:
:param max_resource_size:
:param max_memory_size:
:param num_cores:
:param address:
:return (ComputeTaskDef|None, bool, bool): Function returns a triplet. First element is either ComputeTaskDef
that describe assigned subtask or None. The second element describes whether the task_id is a wrong task that
isn't in task manager register. If task with <task_id> it's a known task then second element of a pair is always
False (regardless new subtask was assigned or not). The third element describes whether we're waiting for
client's other task results.
"""
logger.debug('get_next_subtask(%r, %r, %r, %r, %r, %r, %r, %r, %r)',
node_id, node_name, task_id, estimated_performance, price,
max_resource_size, max_memory_size, num_cores, address)
if task_id not in self.tasks:
logger.info("Cannot find task {} in my tasks".format(task_id))
return None, True, False
task = self.tasks[task_id]
if task.header.max_price < price:
return None, False, False
def has_subtasks():
if self.tasks_states[task_id].status not in self.activeStatus:
logger.debug('state no in activestatus')
return False
if not task.needs_computation():
logger.debug('not task.needs_computation')
return False
if task.header.resource_size > (long(max_resource_size) * 1024):
logger.debug('resources size >')
return False
if task.header.estimated_memory > (long(max_memory_size) * 1024):
logger.debug('estimated memory >')
return False
return True
if not has_subtasks():
logger.info(
"Cannot get next task for estimated performance {}".format(
estimated_performance))
return None, False, False
extra_data = task.query_extra_data(estimated_performance, num_cores,
node_id, node_name)
if extra_data.should_wait:
return None, False, True
ctd = extra_data.ctd
def check_compute_task_def():
if not isinstance(ctd, ComputeTaskDef) or not ctd.subtask_id:
logger.debug('check ctd: ctd not instance or not subtask_id')
return False
if task_id != ctd.task_id or ctd.subtask_id in self.subtask2task_mapping:
logger.debug(
'check ctd: %r != %r or %r in self.subtask2task_maping',
task_id, ctd.task_id, ctd.subtask_id)
return False
if ctd.subtask_id in self.tasks_states[ctd.task_id].subtask_states:
logger.debug('check ctd: subtask_states')
return False
return True
if not check_compute_task_def():
return None, False, False
ctd.key_id = task.header.task_owner_key_id
ctd.return_address = task.header.task_owner_address
ctd.return_port = task.header.task_owner_port
ctd.task_owner = task.header.task_owner
self.subtask2task_mapping[ctd.subtask_id] = task_id
self.__add_subtask_to_tasks_states(node_name, node_id, price, ctd,
address)
self.notice_task_updated(task_id)
return ctd, False, extra_data.should_wait
def get_tasks_headers(self):
ret = []
for t in self.tasks.values():
if t.needs_computation() and t.task_status in self.activeStatus:
ret.append(t.header)
return ret
def get_trust_mod(self, subtask_id):
if subtask_id in self.subtask2task_mapping:
task_id = self.subtask2task_mapping[subtask_id]
return self.tasks[task_id].get_trust_mod(subtask_id)
else:
logger.error("This is not my subtask {}".format(subtask_id))
return 0
def update_task_signatures(self):
for task in self.tasks.values():
task.header.signature = self.sign_task_header(task.header)
def sign_task_header(self, task_header):
return self.keys_auth.sign(task_header.to_binary())
def verify_subtask(self, subtask_id):
if subtask_id in self.subtask2task_mapping:
task_id = self.subtask2task_mapping[subtask_id]
return self.tasks[task_id].verify_subtask(subtask_id)
else:
return False
def get_node_id_for_subtask(self, subtask_id):
if subtask_id in self.subtask2task_mapping:
subtask_state = self.tasks_states[self.subtask2task_mapping[
subtask_id]].subtask_states[subtask_id]
return subtask_state.computer.node_id
else:
return None
def set_value(self, task_id, subtask_id, value):
if type(value) not in (int, long):
raise TypeError(
"Incorrect 'value' type: {}. Should be int or long".format(
type(value)))
task_state = self.tasks_states.get(task_id)
if task_state is None:
logger.warning("This is not my task {}".format(task_id))
return
subtask_state = task_state.subtask_states.get(subtask_id)
if subtask_state is None:
logger.warning("This is not my subtask {}".format(subtask_id))
return
subtask_state.value = value
@handle_subtask_key_error
def get_value(self, subtask_id):
""" Return value of a given subtask
:param subtask_id: id of a computed subtask
:return long: price that should be paid for given subtask
"""
task_id = self.subtask2task_mapping[subtask_id]
return self.tasks_states[task_id].subtask_states[subtask_id].value
@handle_subtask_key_error
def computed_task_received(self, subtask_id, result, result_type):
task_id = self.subtask2task_mapping[subtask_id]
subtask_state = self.tasks_states[task_id].subtask_states[subtask_id]
subtask_status = subtask_state.subtask_status
if not SubtaskStatus.is_computed(subtask_status):
logger.warning(
"Result for subtask {} when subtask state is {}".format(
subtask_id, subtask_status))
self.notice_task_updated(task_id)
return False
self.tasks[task_id].computation_finished(subtask_id, result,
result_type)
ss = self.tasks_states[task_id].subtask_states[subtask_id]
ss.subtask_progress = 1.0
ss.subtask_rem_time = 0.0
ss.subtask_status = SubtaskStatus.finished
ss.stdout = self.tasks[task_id].get_stdout(subtask_id)
ss.stderr = self.tasks[task_id].get_stderr(subtask_id)
ss.results = self.tasks[task_id].get_results(subtask_id)
if not self.tasks[task_id].verify_subtask(subtask_id):
logger.debug("Subtask {} not accepted\n".format(subtask_id))
ss.subtask_status = SubtaskStatus.failure
self.notice_task_updated(task_id)
return False
if self.tasks_states[task_id].status in self.activeStatus:
if not self.tasks[task_id].finished_computation():
self.tasks_states[task_id].status = TaskStatus.computing
else:
if self.tasks[task_id].verify_task():
logger.debug("Task {} accepted".format(task_id))
self.tasks_states[task_id].status = TaskStatus.finished
else:
logger.debug("Task {} not accepted".format(task_id))
self.notice_task_updated(task_id)
return True
@handle_subtask_key_error
def task_computation_failure(self, subtask_id, err):
task_id = self.subtask2task_mapping[subtask_id]
subtask_state = self.tasks_states[task_id].subtask_states[subtask_id]
subtask_status = subtask_state.subtask_status
if not SubtaskStatus.is_computed(subtask_status):
logger.warning(
"Result for subtask {} when subtask state is {}".format(
subtask_id, subtask_status))
self.notice_task_updated(task_id)
return False
self.tasks[task_id].computation_failed(subtask_id)
ss = self.tasks_states[task_id].subtask_states[subtask_id]
ss.subtask_progress = 1.0
ss.subtask_rem_time = 0.0
ss.subtask_status = SubtaskStatus.failure
ss.stderr = str(err)
self.notice_task_updated(task_id)
return True
def task_result_incoming(self, subtask_id):
node_id = self.get_node_id_for_subtask(subtask_id)
if node_id and subtask_id in self.subtask2task_mapping:
task_id = self.subtask2task_mapping[subtask_id]
if task_id in self.tasks:
task = self.tasks[task_id]
states = self.tasks_states[task_id].subtask_states[subtask_id]
task.result_incoming(subtask_id)
states.subtask_status = SubtaskStatus.downloading
self.notify_update_task(task_id)
else:
logger.error("Unknown task id: {}".format(task_id))
else:
logger.error("Node_id {} or subtask_id {} does not exist".format(
node_id, subtask_id))
# CHANGE TO RETURN KEY_ID (check IF SUBTASK COMPUTER HAS KEY_ID
def check_timeouts(self):
nodes_with_timeouts = []
for t in self.tasks.values():
th = t.header
if self.tasks_states[th.task_id].status not in self.activeStatus:
continue
cur_time = get_timestamp_utc()
if cur_time > th.deadline:
logger.info("Task {} dies".format(th.task_id))
t.task_stats = TaskStatus.timeout
self.tasks_states[th.task_id].status = TaskStatus.timeout
self.notice_task_updated(th.task_id)
ts = self.tasks_states[th.task_id]
for s in ts.subtask_states.values():
if SubtaskStatus.is_computed(s.subtask_status):
if cur_time > s.deadline:
logger.info("Subtask {} dies".format(s.subtask_id))
s.subtask_status = SubtaskStatus.failure
nodes_with_timeouts.append(s.computer.node_id)
t.computation_failed(s.subtask_id)
s.stderr = "[GOLEM] Timeout"
self.notice_task_updated(th.task_id)
return nodes_with_timeouts
def get_progresses(self):
tasks_progresses = {}
for t in self.tasks.values():
if t.get_progress() < 1.0:
ltss = LocalTaskStateSnapshot(t.header.task_id,
t.get_total_tasks(),
t.get_active_tasks(),
t.get_progress(),
t.short_extra_data_repr(2200.0))
tasks_progresses[t.header.task_id] = ltss
return tasks_progresses
@handle_task_key_error
def get_resources(self, task_id, resource_header, resource_type=0):
task = self.tasks[task_id]
return task.get_resources(resource_header, resource_type)
@handle_task_key_error
def restart_task(self, task_id):
logger.info("restarting task")
self.dir_manager.clear_temporary(
task_id, undeletable=self.tasks[task_id].undeletable)
self.tasks[task_id].restart()
self.tasks[task_id].task_status = TaskStatus.waiting
self.tasks_states[task_id].status = TaskStatus.waiting
self.tasks_states[task_id].time_started = time.time()
for ss in self.tasks_states[task_id].subtask_states.values():
if ss.subtask_status != SubtaskStatus.failure:
ss.subtask_status = SubtaskStatus.restarted
self.notice_task_updated(task_id)
@handle_subtask_key_error
def restart_subtask(self, subtask_id):
task_id = self.subtask2task_mapping[subtask_id]
self.tasks[task_id].restart_subtask(subtask_id)
self.tasks_states[task_id].status = TaskStatus.computing
self.tasks_states[task_id].subtask_states[
subtask_id].subtask_status = SubtaskStatus.restarted
self.tasks_states[task_id].subtask_states[
subtask_id].stderr = "[GOLEM] Restarted"
self.notice_task_updated(task_id)
@handle_task_key_error
def abort_task(self, task_id):
self.tasks[task_id].abort()
self.tasks[task_id].task_status = TaskStatus.aborted
self.tasks_states[task_id].status = TaskStatus.aborted
for sub in self.tasks_states[task_id].subtask_states.values():
del self.subtask2task_mapping[sub.subtask_id]
self.tasks_states[task_id].subtask_states.clear()
self.notice_task_updated(task_id)
@handle_task_key_error
def pause_task(self, task_id):
self.tasks[task_id].task_status = TaskStatus.paused
self.tasks_states[task_id].status = TaskStatus.paused
self.notice_task_updated(task_id)
@handle_task_key_error
def resume_task(self, task_id):
self.tasks[task_id].task_status = TaskStatus.starting
self.tasks_states[task_id].status = TaskStatus.starting
self.notice_task_updated(task_id)
@handle_task_key_error
def delete_task(self, task_id):
for sub in self.tasks_states[task_id].subtask_states.values():
del self.subtask2task_mapping[sub.subtask_id]
self.tasks_states[task_id].subtask_states.clear()
self.tasks[task_id].unregister_listener(self)
del self.tasks[task_id]
del self.tasks_states[task_id]
self.dir_manager.clear_temporary(task_id)
@handle_task_key_error
def query_task_state(self, task_id):
ts = self.tasks_states[task_id]
t = self.tasks[task_id]
ts.progress = t.get_progress()
ts.elapsed_time = time.time() - ts.time_started
if ts.progress > 0.0:
ts.remaining_time = (ts.elapsed_time /
ts.progress) - ts.elapsed_time
else:
ts.remaining_time = -0.0
t.update_task_state(ts)
return ts
def get_subtasks(self, task_id):
"""
Get all subtasks related to given task id
:param task_id: Task ID
:return: list of all subtasks related with @task_id or None if @task_id is not known
"""
if task_id not in self.tasks_states:
return None
return [
sub.subtask_id
for sub in self.tasks_states[task_id].subtask_states.values()
]
def change_config(self, root_path, use_distributed_resource_management):
self.dir_manager = DirManager(root_path)
self.use_distributed_resources = use_distributed_resource_management
@handle_task_key_error
def change_timeouts(self, task_id, full_task_timeout, subtask_timeout):
task = self.tasks[task_id]
task.header.deadline = timeout_to_deadline(full_task_timeout)
task.header.subtask_timeout = subtask_timeout
task.full_task_timeout = full_task_timeout
task.header.last_checking = time.time()
def get_task_id(self, subtask_id):
return self.subtask2task_mapping[subtask_id]
def get_task_dict(self, task_id):
task = self.tasks[task_id]
# single=True retrieves one preview file. If rendering frames,
# it's the preview of the most recently computed frame.
dictionary = {u'preview': task.get_preview(single=True)}
dictionary.update(self.get_simple_task_dict(task))
dictionary.update(self.get_task_definition_dict(task))
return dictionary
def get_tasks_dict(self):
return [self.get_simple_task_dict(t) for t in self.tasks.itervalues()]
def get_subtask_dict(self, subtask_id):
task_id = self.subtask2task_mapping[subtask_id]
task_state = self.tasks_states[task_id]
subtask = task_state.subtask_states[subtask_id]
return subtask.to_dictionary()
def get_subtasks_dict(self, task_id):
task_state = self.tasks_states[task_id]
subtasks = task_state.subtask_states
return [subtask.to_dictionary() for subtask in subtasks.itervalues()]
def get_subtasks_borders(self, task_id):
task = self.tasks[task_id]
task_type_name = task.task_definition.task_type.lower()
task_type = self.task_types[task_type_name]
task_state = self.tasks_states[task_id]
total_subtasks = task.get_total_tasks()
return {
to_unicode(subtask.subtask_id):
task_type.get_task_border(subtask,
task.task_definition,
total_subtasks,
as_path=True)
for subtask in task_state.subtask_states.values()
}
def get_simple_task_dict(self, task):
state = self.tasks_states.get(task.header.task_id)
timeout = task.task_definition.full_task_timeout
dictionary = {u'duration': max(timeout - state.remaining_time, 0)}
dictionary.update(task.to_dictionary())
dictionary.update(state.to_dictionary())
return dictionary
def get_task_preview(self, task_id, single=False):
return self.tasks[task_id].get_preview(single=single)
@handle_subtask_key_error
def set_computation_time(self, subtask_id, computation_time):
"""
Set computation time for subtask and also compute and set new value based on saved price for this subtask
:param str subtask_id: subtask which was computed in given computation_time
:param float computation_time: how long does it take to compute this task
:return:
"""
task_id = self.subtask2task_mapping[subtask_id]
ss = self.tasks_states[task_id].subtask_states[subtask_id]
ss.computation_time = computation_time
ss.value = compute_subtask_value(ss.computer.price, computation_time)
def add_comp_task_request(self, theader, price):
""" Add a header of a task which this node may try to compute """
self.comp_task_keeper.add_request(theader, price)
@handle_task_key_error
def get_payment_for_task_id(self, task_id):
val = 0.0
t = self.tasks_states[task_id]
for ss in t.subtask_states.values():
val += ss.value
return val
def __add_subtask_to_tasks_states(self, node_name, node_id, price, ctd,
address):
if ctd.task_id not in self.tasks_states:
raise RuntimeError("Should never be here!")
logger.debug('add_subtask_to_tasks_states(%r, %r, %r, %r, %r)',
node_name, node_id, price, ctd, address)
ss = SubtaskState()
ss.computer.node_id = node_id
ss.computer.node_name = node_name
ss.computer.performance = ctd.performance
ss.computer.ip_address = address
ss.computer.price = price
ss.time_started = time.time()
ss.deadline = ctd.deadline
# TODO: read node ip address
ss.subtask_definition = ctd.short_description
ss.subtask_id = ctd.subtask_id
ss.extra_data = ctd.extra_data
ss.subtask_status = TaskStatus.starting
ss.value = 0
self.tasks_states[ctd.task_id].subtask_states[ctd.subtask_id] = ss
def notify_update_task(self, task_id):
self.notice_task_updated(task_id)
@handle_task_key_error
def notice_task_updated(self, task_id):
# self.save_state()
if self.task_persistence:
self.dump_task(task_id)
dispatcher.send(signal='golem.taskmanager',
event='task_status_updated',
task_id=task_id)
class TaskManager(TaskEventListener):
""" Keeps and manages information about requested tasks
Requestor uses TaskManager to assign task to providers
"""
handle_task_key_error = HandleKeyError(log_task_key_error)
handle_subtask_key_error = HandleKeyError(log_subtask_key_error)
handle_generic_key_error = HandleForwardedError(KeyError,
log_generic_key_error)
class Error(Exception):
pass
class AlreadyRestartedError(Error):
pass
def __init__(self,
node_name,
node,
keys_auth,
root_path,
use_distributed_resources=True,
tasks_dir="tasks",
task_persistence=True,
apps_manager=AppsManager(),
finished_cb=None):
super().__init__()
self.apps_manager = apps_manager
apps = list(apps_manager.apps.values())
task_types = [app.task_type_info() for app in apps]
self.task_types = {t.name.lower(): t for t in task_types}
self.node_name = node_name
self.node = node
self.keys_auth = keys_auth
self.key_id = keys_auth.key_id
self.tasks: Dict[str, Task] = {}
self.tasks_states: Dict[str, TaskState] = {}
self.subtask2task_mapping: Dict[str, str] = {}
self.task_persistence = task_persistence
tasks_dir = Path(tasks_dir)
self.tasks_dir = tasks_dir / "tmanager"
if not self.tasks_dir.is_dir():
self.tasks_dir.mkdir(parents=True)
self.root_path = root_path
self.dir_manager = DirManager(self.get_task_manager_root())
resource_manager = HyperdriveResourceManager(
self.dir_manager,
resource_dir_method=self.dir_manager.get_task_temporary_dir,
)
self.task_result_manager = EncryptedResultPackageManager(
resource_manager)
self.activeStatus = [
TaskStatus.computing, TaskStatus.starting, TaskStatus.waiting
]
self.use_distributed_resources = use_distributed_resources
self.comp_task_keeper = CompTaskKeeper(
tasks_dir,
persist=self.task_persistence,
)
self.requestor_stats_manager = RequestorTaskStatsManager()
self.finished_cb = finished_cb
if self.task_persistence:
self.restore_tasks()
def get_task_manager_root(self):
return self.root_path
def create_task(self, dictionary, minimal=False):
purpose = TaskPurpose.TESTING if minimal else TaskPurpose.REQUESTING
type_name = dictionary['type'].lower()
compute_on = dictionary.get('compute_on', 'cpu').lower()
is_requesting = purpose == TaskPurpose.REQUESTING
if type_name == "blender" and is_requesting and compute_on == "gpu":
type_name = type_name + "_nvgpu"
task_type = self.task_types[type_name].for_purpose(purpose)
builder_type = task_type.task_builder_type
definition = builder_type.build_definition(task_type, dictionary,
minimal)
definition.task_id = CoreTask.create_task_id(self.keys_auth.public_key)
definition.concent_enabled = dictionary.get('concent_enabled', False)
builder = builder_type(self.node, definition, self.dir_manager)
return builder.build()
def get_task_definition_dict(self, task: Task):
if isinstance(task, dict):
return task
definition = task.task_definition
task_type = self.task_types[definition.task_type.lower()]
return task_type.task_builder_type.build_dictionary(definition)
def add_new_task(self, task: Task, estimated_fee: int = 0) -> None:
task_id = task.header.task_id
if task_id in self.tasks:
raise RuntimeError("Task {} has been already added".format(
task.header.task_id))
if not self.key_id:
raise ValueError("'key_id' is not set")
task.header.fixed_header.task_owner = self.node
task.header.signature = self.sign_task_header(task.header)
task.create_reference_data_for_task_validation()
task.register_listener(self)
ts = TaskState()
ts.status = TaskStatus.notStarted
ts.outputs = task.get_output_names()
ts.subtasks_count = task.get_total_tasks()
ts.time_started = time.time()
ts.estimated_cost = task.price
ts.estimated_fee = estimated_fee
self.tasks[task_id] = task
self.tasks_states[task_id] = ts
logger.info("Task %s added", task_id)
self.notice_task_updated(task_id, op=TaskOp.CREATED, persist=False)
@handle_task_key_error
def increase_task_mask(self, task_id: str, num_bits: int = 1) -> None:
""" Increase mask for given task i.e. make it more restrictive """
task = self.tasks[task_id]
try:
task.header.mask.increase(num_bits)
except ValueError:
logger.exception('Wrong number of bits for mask increase')
else:
task.header.signature = self.sign_task_header(task.header)
@handle_task_key_error
def decrease_task_mask(self, task_id: str, num_bits: int = 1) -> None:
""" Decrease mask for given task i.e. make it less restrictive """
task = self.tasks[task_id]
try:
task.header.mask.decrease(num_bits)
except ValueError:
logger.exception('Wrong number of bits for mask decrease')
else:
task.header.signature = self.sign_task_header(task.header)
@handle_task_key_error
def start_task(self, task_id):
task_state = self.tasks_states[task_id]
if not task_state.status.is_preparing():
raise RuntimeError(
"Task {} has already been started".format(task_id))
task_state.status = TaskStatus.waiting
self.notice_task_updated(task_id, op=TaskOp.STARTED)
logger.info("Task %s started", task_id)
def _dump_filepath(self, task_id):
return self.tasks_dir / ('%s.pickle' % (task_id, ))
def dump_task(self, task_id: str) -> None:
logger.debug('DUMP TASK %r', task_id)
filepath = self._dump_filepath(task_id)
try:
data = self.tasks[task_id], self.tasks_states[task_id]
logger.debug('DUMPING TASK %r', filepath)
with filepath.open('wb') as f:
pickle.dump(data, f, protocol=2)
logger.debug('TASK %s DUMPED in %r', task_id, filepath)
except Exception as e:
logger.exception(
'DUMP ERROR task_id: %r task: %r state: %r',
task_id,
self.tasks.get(task_id, '<not found>'),
self.tasks_states.get(task_id, '<not found>'),
)
if filepath.exists():
filepath.unlink()
raise
def remove_dump(self, task_id: str):
filepath = self._dump_filepath(task_id)
try:
filepath.unlink()
logger.debug('TASK DUMP with id %s REMOVED from %r', task_id,
filepath)
except (FileNotFoundError, OSError) as e:
logger.warning("Couldn't remove dump file: %s - %s", filepath, e)
@staticmethod
def _migrate_status_to_enum(state: TaskState) -> None:
"""
This is a migration for data stored in pickles.
See #2768
"""
if isinstance(state.status, str):
state.status = TaskStatus(state.status)
subtask_state: SubtaskState
for subtask_state in state.subtask_states.values():
if isinstance(subtask_state.subtask_status, str):
subtask_state.subtask_status = \
SubtaskStatus(subtask_state.subtask_status)
def restore_tasks(self) -> None:
logger.debug('SEARCHING FOR TASKS TO RESTORE')
broken_paths = set()
for path in self.tasks_dir.iterdir():
if not path.suffix == '.pickle':
continue
logger.debug('RESTORE TASKS %r', path)
task_id = None
with path.open('rb') as f:
try:
task: Task
state: TaskState
task, state = pickle.load(f)
TaskManager._migrate_status_to_enum(state)
task.register_listener(self)
task_id = task.header.task_id
self.tasks[task_id] = task
self.tasks_states[task_id] = state
for sub in state.subtask_states.values():
self.subtask2task_mapping[sub.subtask_id] = task_id
logger.debug('TASK %s RESTORED from %r', task_id, path)
except (pickle.UnpicklingError, EOFError, ImportError,
KeyError, AttributeError):
logger.exception('Problem restoring task from: %s', path)
# On Windows, attempting to remove a file that is in use
# causes an exception to be raised, therefore
# we'll remove broken files later
broken_paths.add(path)
if task_id is not None:
self.notice_task_updated(task_id,
op=TaskOp.RESTORED,
persist=False)
for path in broken_paths:
path.unlink()
@handle_task_key_error
def resources_send(self, task_id):
self.tasks_states[task_id].status = TaskStatus.waiting
self.notice_task_updated(task_id)
logger.info("Resources for task {} sent".format(task_id))
def got_wants_to_compute(
self,
task_id: str,
key_id: str, # pylint: disable=unused-argument
node_name: str): # pylint: disable=unused-argument
"""
Updates number of offers to compute task.
For statistical purposes only, real processing of the offer is done
elsewhere. Silently ignores wrong task ids.
:param str task_id: id of the task in the offer
:param key_id: id of the node offering computations
:param node_name: name of the node offering computations
:return: Nothing
:rtype: None
"""
if task_id in self.tasks:
self.notice_task_updated(task_id,
op=TaskOp.WORK_OFFER_RECEIVED,
persist=False)
def task_needs_computation(self, task_id: str) -> bool:
task_status = self.tasks_states[task_id].status
if task_status not in self.activeStatus:
logger.info(
f'task is not active: {task_id}, status: {task_status}')
return False
task = self.tasks[task_id]
if not task.needs_computation():
logger.info(f'no more computation needed: {task_id}')
return False
return True
def get_next_subtask(self,
node_id,
node_name,
task_id,
estimated_performance,
price,
max_resource_size,
max_memory_size,
num_cores=0,
address=""):
""" Assign next subtask from task <task_id> to node with given
id <node_id> and name. If subtask is assigned the function
is returning a tuple
:param node_id:
:param node_name:
:param task_id:
:param estimated_performance:
:param price:
:param max_resource_size:
:param max_memory_size:
:param num_cores:
:param address:
:return (ComputeTaskDef|None: Function returns a ComputeTaskDef.
First element is either ComputeTaskDef that describe assigned subtask
or None. It is recommended to call is_my_task and should_wait_for_node
before this to find the reason why the task is not able to be picked up
"""
logger.debug(
'get_next_subtask(%r, %r, %r, %r, %r, %r, %r, %r, %r)',
node_id,
node_name,
task_id,
estimated_performance,
price,
max_resource_size,
max_memory_size,
num_cores,
address,
)
if not self.is_my_task(task_id):
return None
if not self.check_next_subtask(node_id, node_name, task_id, price):
return None
if self.should_wait_for_node(task_id, node_id):
return None
task = self.tasks[task_id]
if task.get_progress() == 1.0:
logger.error(
"Task already computed. "
"task_id=%r, node_name=%r, node_id=%r", task_id, node_name,
node_id)
return None
extra_data = task.query_extra_data(estimated_performance, num_cores,
node_id, node_name)
ctd = extra_data.ctd
def check_compute_task_def():
if not isinstance(ctd, ComputeTaskDef) or not ctd['subtask_id']:
logger.debug('check ctd: ctd not instance or not subtask_id')
return False
if task_id != ctd['task_id'] \
or ctd['subtask_id'] in self.subtask2task_mapping:
logger.debug(
'check ctd: %r != %r or %r in self.subtask2task_maping',
task_id,
ctd['task_id'],
ctd['subtask_id'],
)
return False
if (ctd['subtask_id']
in self.tasks_states[ctd['task_id']].subtask_states):
logger.debug('check ctd: subtask_states')
return False
return True
if not check_compute_task_def():
return None
task.accept_client(node_id)
self.subtask2task_mapping[ctd['subtask_id']] = task_id
self.__add_subtask_to_tasks_states(
node_name,
node_id,
ctd,
address,
)
self.notice_task_updated(task_id,
subtask_id=ctd['subtask_id'],
op=SubtaskOp.ASSIGNED)
logger.debug(
"Subtask generated. task=%s, node=%s, ctd=%s",
task_id,
node_info_str(node_name, node_id),
ctd,
)
return ctd
def is_my_task(self, task_id) -> bool:
""" Check if the task_id is known by this node """
return task_id in self.tasks
def should_wait_for_node(self, task_id, node_id) -> bool:
""" Check if the node has too many tasks assigned already """
if not self.is_my_task(task_id):
logger.debug(
"Not my task. task_id=%s, node=%s",
task_id,
short_node_id(node_id),
)
return False
task = self.tasks[task_id]
verdict = task.should_accept_client(node_id)
logger.debug(
"Should accept client verdict. verdict=%s, task=%s, node=%s",
verdict,
task_id,
short_node_id(node_id),
)
if verdict == AcceptClientVerdict.SHOULD_WAIT:
logger.warning("Waiting for results from %s on %s",
short_node_id(node_id), task_id)
return True
elif verdict == AcceptClientVerdict.REJECTED:
logger.warning(
"Client has failed on subtask within this task"
" and is banned from it. node_id=%s, task_id=%s",
short_node_id(node_id), task_id)
return False
def check_next_subtask( # noqa pylint: disable=too-many-arguments
self, node_id, node_name, task_id, price):
""" Check next subtask from task <task_id> to give to node with
id <node_id> and name. The returned tuple can be used to find the reason
and handle accordingly.
:param node_id:
:param node_name:
:param task_id:
:param price:
:return bool: Function returns a boolean.
The return value describes if the task is able to be assigned
"""
logger.debug(
'check_next_subtask(%r, %r, %r, %r)',
node_id,
node_name,
task_id,
price,
)
if not self.is_my_task(task_id):
logger.info(
"Cannot find task in my tasks. task_id=%s, provider=%s",
task_id, node_info_str(node_name, node_id))
return False
task = self.tasks[task_id]
if task.header.max_price < price:
return False
if not self.task_needs_computation(task_id):
logger.info(
'Task does not need computation. task_id=%s, provider=%s',
task_id, node_info_str(node_name, node_id))
return False
return True
def copy_results(self, old_task_id: str, new_task_id: str,
subtask_ids_to_copy: Iterable[str]) -> None:
try:
old_task = self.tasks[old_task_id]
new_task = self.tasks[new_task_id]
assert isinstance(old_task, CoreTask)
assert isinstance(new_task, CoreTask)
except (KeyError, AssertionError):
logger.exception('Cannot copy results from task %r to %r',
old_task_id, new_task_id)
return
# Map new subtasks to old by 'start_task'
subtasks_to_copy = {
subtask['start_task']: subtask
for subtask in map(lambda id_: old_task.subtasks_given[id_],
subtask_ids_to_copy)
}
# Generate all subtasks for the new task
new_subtasks_ids = []
while new_task.needs_computation():
extra_data = new_task.query_extra_data(0,
node_id=str(uuid.uuid4()))
new_subtask_id = extra_data.ctd['subtask_id']
self.subtask2task_mapping[new_subtask_id] = \
new_task_id
self.__add_subtask_to_tasks_states(node_name=None,
node_id=None,
address=None,
ctd=extra_data.ctd)
new_subtasks_ids.append(new_subtask_id)
# it's important to do this step separately, to not disturb
# 'needs_computation' condition above
for new_subtask_id in new_subtasks_ids:
self.tasks_states[new_task_id].subtask_states[new_subtask_id]\
.subtask_status = SubtaskStatus.failure
new_task.subtasks_given[new_subtask_id]['status'] \
= SubtaskStatus.failure
new_task.num_failed_subtasks += 1
def handle_copy_error(subtask_id, error):
logger.error('Cannot copy result of subtask %r: %r', subtask_id,
error)
self.restart_subtask(subtask_id)
for new_subtask_id, new_subtask in new_task.subtasks_given.items():
old_subtask = subtasks_to_copy.get(new_subtask['start_task'])
if old_subtask: # Copy results from old subtask
deferred = self._copy_subtask_results(old_task=old_task,
new_task=new_task,
old_subtask=old_subtask,
new_subtask=new_subtask)
deferred.addErrback(partial(handle_copy_error, new_subtask_id))
else: # Restart subtask to get it computed
self.restart_subtask(new_subtask_id)
def _copy_subtask_results(self, old_task: CoreTask, new_task: CoreTask,
old_subtask: dict,
new_subtask: dict) -> Deferred:
old_task_id = old_task.header.task_id
new_task_id = new_task.header.task_id
assert isinstance(old_task.tmp_dir, str)
assert isinstance(new_task.tmp_dir, str)
old_tmp_dir = Path(old_task.tmp_dir)
new_tmp_dir = Path(new_task.tmp_dir)
old_subtask_id = old_subtask['subtask_id']
new_subtask_id = new_subtask['subtask_id']
def copy_and_extract_zips():
# TODO: Refactor this using package manager (?)
old_result_path = old_tmp_dir / '{}.{}.zip'.format(
old_task_id, old_subtask_id)
new_result_path = new_tmp_dir / '{}.{}.zip'.format(
new_task_id, new_subtask_id)
shutil.copy(old_result_path, new_result_path)
subtask_result_dir = new_tmp_dir / new_subtask_id
os.makedirs(subtask_result_dir)
with ZipFile(new_result_path, 'r') as zf:
zf.extractall(subtask_result_dir)
return [
str(subtask_result_dir / name) for name in zf.namelist()
if name != '.package_desc'
]
def after_results_extracted(results):
new_task.copy_subtask_results(new_subtask_id, old_subtask, results)
new_subtask_state = \
self.__set_subtask_state_finished(new_subtask_id)
old_subtask_state = self.tasks_states[old_task_id] \
.subtask_states[old_subtask_id]
self.notice_task_updated(task_id=new_task_id,
subtask_id=new_subtask_id,
op=SubtaskOp.FINISHED)
deferred = deferToThread(copy_and_extract_zips)
deferred.addCallback(after_results_extracted)
return deferred
def get_tasks_headers(self):
ret = []
for tid, task in self.tasks.items():
status = self.tasks_states[tid].status
if task.needs_computation() and status in self.activeStatus:
ret.append(task.header)
return ret
def get_trust_mod(self, subtask_id):
if subtask_id in self.subtask2task_mapping:
task_id = self.subtask2task_mapping[subtask_id]
return self.tasks[task_id].get_trust_mod(subtask_id)
else:
logger.error("This is not my subtask {}".format(subtask_id))
return 0
def update_task_signatures(self):
for task in list(self.tasks.values()):
task.header.signature = self.sign_task_header(task.header)
def sign_task_header(self, task_header):
return self.keys_auth.sign(task_header.to_binary())
def verify_subtask(self, subtask_id):
if subtask_id in self.subtask2task_mapping:
task_id = self.subtask2task_mapping[subtask_id]
return self.tasks[task_id].verify_subtask(subtask_id)
else:
return False
def is_this_my_task(self, header: TaskHeader) -> bool:
return header.task_id in self.tasks or \
header.task_owner.key == self.node.key
def get_node_id_for_subtask(self, subtask_id):
if subtask_id not in self.subtask2task_mapping:
return None
task = self.subtask2task_mapping[subtask_id]
subtask_state = self.tasks_states[task].subtask_states[subtask_id]
return subtask_state.node_id
@handle_subtask_key_error
def computed_task_received(self, subtask_id, result,
verification_finished):
task_id = self.subtask2task_mapping[subtask_id]
subtask_state = self.tasks_states[task_id].subtask_states[subtask_id]
subtask_status = subtask_state.subtask_status
if not subtask_status.is_computed():
logger.warning(
"Result for subtask {} when subtask state is {}".format(
subtask_id, subtask_status.value))
self.notice_task_updated(task_id,
subtask_id=subtask_id,
op=OtherOp.UNEXPECTED)
verification_finished()
return
subtask_state.subtask_status = SubtaskStatus.verifying
@TaskManager.handle_generic_key_error
def verification_finished_():
ss = self.__set_subtask_state_finished(subtask_id)
if not self.tasks[task_id].verify_subtask(subtask_id):
logger.debug("Subtask %r not accepted\n", subtask_id)
ss.subtask_status = SubtaskStatus.failure
self.notice_task_updated(task_id,
subtask_id=subtask_id,
op=SubtaskOp.NOT_ACCEPTED)
verification_finished()
return
self.notice_task_updated(task_id,
subtask_id=subtask_id,
op=SubtaskOp.FINISHED)
if self.tasks_states[task_id].status in self.activeStatus:
if not self.tasks[task_id].finished_computation():
self.tasks_states[task_id].status = TaskStatus.computing
else:
if self.tasks[task_id].verify_task():
logger.info("Task finished! task_id=%r", task_id)
self.tasks_states[task_id].status =\
TaskStatus.finished
self.notice_task_updated(task_id, op=TaskOp.FINISHED)
else:
logger.warning(
"Task finished but was not accepted. "
"task_id=%r", task_id)
self.notice_task_updated(task_id,
op=TaskOp.NOT_ACCEPTED)
verification_finished()
self.tasks[task_id].computation_finished(subtask_id, result,
verification_finished_)
@handle_subtask_key_error
def __set_subtask_state_finished(self, subtask_id: str) -> SubtaskState:
task_id = self.subtask2task_mapping[subtask_id]
ss = self.tasks_states[task_id].subtask_states[subtask_id]
ss.subtask_progress = 1.0
ss.subtask_rem_time = 0.0
ss.subtask_status = SubtaskStatus.finished
ss.stdout = self.tasks[task_id].get_stdout(subtask_id)
ss.stderr = self.tasks[task_id].get_stderr(subtask_id)
ss.results = self.tasks[task_id].get_results(subtask_id)
return ss
@handle_subtask_key_error
def task_computation_failure(self, subtask_id, err):
task_id = self.subtask2task_mapping[subtask_id]
subtask_state = self.tasks_states[task_id].subtask_states[subtask_id]
subtask_status = subtask_state.subtask_status
if not subtask_status.is_computed():
logger.warning(
"Result for subtask {} when subtask state is {}".format(
subtask_id, subtask_status.value))
self.notice_task_updated(task_id,
subtask_id=subtask_id,
op=OtherOp.UNEXPECTED)
return False
self.tasks[task_id].computation_failed(subtask_id)
ss = self.tasks_states[task_id].subtask_states[subtask_id]
ss.subtask_progress = 1.0
ss.subtask_rem_time = 0.0
ss.subtask_status = SubtaskStatus.failure
ss.stderr = str(err)
self.notice_task_updated(task_id,
subtask_id=subtask_id,
op=SubtaskOp.FAILED)
return True
def task_result_incoming(self, subtask_id):
node_id = self.get_node_id_for_subtask(subtask_id)
if node_id and subtask_id in self.subtask2task_mapping:
task_id = self.subtask2task_mapping[subtask_id]
if task_id in self.tasks:
task = self.tasks[task_id]
states = self.tasks_states[task_id].subtask_states[subtask_id]
task.result_incoming(subtask_id)
states.subtask_status = SubtaskStatus.downloading
self.notice_task_updated(task_id,
subtask_id=subtask_id,
op=SubtaskOp.RESULT_DOWNLOADING)
else:
logger.error("Unknown task id: {}".format(task_id))
else:
logger.error("Node_id {} or subtask_id {} does not exist".format(
node_id, subtask_id))
# CHANGE TO RETURN KEY_ID (check IF SUBTASK COMPUTER HAS KEY_ID
def check_timeouts(self):
nodes_with_timeouts = []
for t in list(self.tasks.values()):
th = t.header
if self.tasks_states[th.task_id].status not in self.activeStatus:
continue
cur_time = get_timestamp_utc()
# Check subtask timeout
ts = self.tasks_states[th.task_id]
for s in list(ts.subtask_states.values()):
if s.subtask_status.is_computed():
if cur_time > s.deadline:
logger.info("Subtask %r dies with status %r",
s.subtask_id, s.subtask_status.value)
s.subtask_status = SubtaskStatus.failure
nodes_with_timeouts.append(s.node_id)
t.computation_failed(s.subtask_id)
s.stderr = "[GOLEM] Timeout"
self.notice_task_updated(th.task_id,
subtask_id=s.subtask_id,
op=SubtaskOp.TIMEOUT)
# Check task timeout
if cur_time > th.deadline:
logger.info("Task %r dies", th.task_id)
self.tasks_states[th.task_id].status = TaskStatus.timeout
# TODO: t.tell_it_has_timeout()?
self.notice_task_updated(th.task_id, op=TaskOp.TIMEOUT)
return nodes_with_timeouts
def get_progresses(self):
tasks_progresses = {}
for t in list(self.tasks.values()):
task_id = t.header.task_id
task_state = self.tasks_states[task_id]
task_status = task_state.status
in_progress = not TaskStatus.is_completed(task_status)
logger.info('Collecting progress %r %r %r', task_id, task_status,
in_progress)
if in_progress:
ltss = LocalTaskStateSnapshot(
task_id, t.get_total_tasks(), t.get_active_tasks(),
t.get_progress(),
t.short_extra_data_repr(task_state.extra_data)
) # FIXME in short_extra_data_repr should there be extra data
# Issue #2460
tasks_progresses[task_id] = ltss
return tasks_progresses
@handle_task_key_error
def assert_task_can_be_restarted(self, task_id: str) -> None:
task_state = self.tasks_states[task_id]
if task_state.status == TaskStatus.restarted:
raise self.AlreadyRestartedError()
@handle_task_key_error
def put_task_in_restarted_state(self, task_id, clear_tmp=True):
"""
When restarting task, it's put in a final state 'restarted' and
a new one is created.
"""
self.assert_task_can_be_restarted(task_id)
if clear_tmp:
self.dir_manager.clear_temporary(task_id)
task_state = self.tasks_states[task_id]
task_state.status = TaskStatus.restarted
for ss in self.tasks_states[task_id].subtask_states.values():
if ss.subtask_status != SubtaskStatus.failure:
ss.subtask_status = SubtaskStatus.restarted
logger.info("Task %s put into restarted state", task_id)
self.notice_task_updated(task_id, op=TaskOp.RESTARTED)
@handle_subtask_key_error
def restart_subtask(self, subtask_id):
task_id = self.subtask2task_mapping[subtask_id]
self.tasks[task_id].restart_subtask(subtask_id)
task_state = self.tasks_states[task_id]
task_state.status = TaskStatus.computing
subtask_state = task_state.subtask_states[subtask_id]
subtask_state.subtask_status = SubtaskStatus.restarted
subtask_state.stderr = "[GOLEM] Restarted"
self.notice_task_updated(task_id,
subtask_id=subtask_id,
op=SubtaskOp.RESTARTED)
@handle_task_key_error
def restart_frame_subtasks(self, task_id, frame):
task = self.tasks[task_id]
task_state = self.tasks_states[task_id]
subtasks = task.get_subtasks(frame)
if not subtasks:
return
for subtask_id in list(subtasks.keys()):
task.restart_subtask(subtask_id)
subtask_state = task_state.subtask_states[subtask_id]
subtask_state.subtask_status = SubtaskStatus.restarted
subtask_state.stderr = "[GOLEM] Restarted"
self.notice_task_updated(task_id,
subtask_id=subtask_id,
op=SubtaskOp.RESTARTED,
persist=False)
task_state.status = TaskStatus.computing
self.notice_task_updated(task_id, op=OtherOp.FRAME_RESTARTED)
@handle_task_key_error
def abort_task(self, task_id):
self.tasks[task_id].abort()
self.tasks_states[task_id].status = TaskStatus.aborted
for sub in list(self.tasks_states[task_id].subtask_states.values()):
del self.subtask2task_mapping[sub.subtask_id]
self.tasks_states[task_id].subtask_states.clear()
self.notice_task_updated(task_id, op=TaskOp.ABORTED)
@rpc_utils.expose('comp.task.subtasks.frames')
@handle_task_key_error
def get_output_states(self, task_id):
return self.tasks[task_id].get_output_states()
@handle_task_key_error
def delete_task(self, task_id):
for sub in list(self.tasks_states[task_id].subtask_states.values()):
del self.subtask2task_mapping[sub.subtask_id]
self.tasks_states[task_id].subtask_states.clear()
self.tasks[task_id].unregister_listener(self)
del self.tasks[task_id]
del self.tasks_states[task_id]
self.dir_manager.clear_temporary(task_id)
self.remove_dump(task_id)
if self.finished_cb:
self.finished_cb()
@handle_task_key_error
def query_task_state(self, task_id):
ts = self.tasks_states[task_id]
t = self.tasks[task_id]
ts.progress = t.get_progress()
ts.elapsed_time = time.time() - ts.time_started
if ts.progress > 0.0:
proportion = (ts.elapsed_time / ts.progress)
ts.remaining_time = proportion - ts.elapsed_time
else:
ts.remaining_time = None
t.update_task_state(ts)
return ts
def get_subtasks(self, task_id) -> Optional[List[str]]:
"""
Get all subtasks related to given task id
:param task_id: Task ID
:return: list of all subtasks related with @task_id or None
if @task_id is not known
"""
task_state = self.tasks_states.get(task_id)
if not task_state:
return None
subtask_states = list(task_state.subtask_states.values())
return [subtask_state.subtask_id for subtask_state in subtask_states]
def get_frame_subtasks(self, task_id: str, frame) \
-> Optional[Dict[str, SubtaskState]]:
task: Optional[Task] = self.tasks.get(task_id)
if not task:
return None
if not isinstance(task, CoreTask):
return None
return task.get_subtasks(frame)
def change_config(self, root_path, use_distributed_resource_management):
self.dir_manager = DirManager(root_path)
self.use_distributed_resources = use_distributed_resource_management
def get_task_id(self, subtask_id):
return self.subtask2task_mapping[subtask_id]
def get_task_dict(self, task_id) -> Optional[Dict]:
task = self.tasks.get(task_id)
if not task: # task might have been deleted after the request was made
return None
task_type_name = task.task_definition.task_type.lower()
task_type = self.task_types[task_type_name]
state = self.query_task_state(task.header.task_id)
dictionary = {
'duration': state.elapsed_time,
# single=True retrieves one preview file. If rendering frames,
# it's the preview of the most recently computed frame.
'preview': task_type.get_preview(task, single=True)
}
return update_dict(dictionary, task.to_dictionary(),
state.to_dictionary(),
self.get_task_definition_dict(task))
def get_tasks_dict(self) -> List[Dict]:
task_ids = list(self.tasks.keys())
mapped = map(self.get_task_dict, task_ids)
filtered = filter(None, mapped)
return list(filtered)
def get_subtask_dict(self, subtask_id):
task_id = self.subtask2task_mapping[subtask_id]
task_state = self.tasks_states[task_id]
subtask = task_state.subtask_states[subtask_id]
return subtask.to_dictionary()
def get_subtasks_dict(self, task_id):
task_state = self.tasks_states[task_id]
subtasks = task_state.subtask_states
if subtasks:
return [subtask.to_dictionary() for subtask in subtasks.values()]
@rpc_utils.expose('comp.task.subtasks.borders')
def get_subtasks_borders(self, task_id, part=1):
task = self.tasks[task_id]
task_type_name = task.task_definition.task_type.lower()
task_type = self.task_types[task_type_name]
subtasks_count = task.get_total_tasks()
return {
to_unicode(subtask_id):
task_type.get_task_border(subtask,
task.task_definition,
subtasks_count,
as_path=True)
for subtask_id, subtask in task.get_subtasks(part).items()
}
def get_task_preview(self, task_id, single=False):
task = self.tasks[task_id]
task_type_name = task.task_definition.task_type.lower()
task_type = self.task_types[task_type_name]
return task_type.get_preview(task, single=single)
def add_comp_task_request(self, theader, price):
""" Add a header of a task which this node may try to compute """
self.comp_task_keeper.add_request(theader, price)
def get_estimated_cost(self, task_type, options):
try:
subtask_value = options['price'] * options['subtask_time']
return options['num_subtasks'] * subtask_value
except (KeyError, ValueError):
logger.exception("Cannot estimate price, wrong params")
return None
def __add_subtask_to_tasks_states(self, node_name, node_id, ctd, address):
logger.debug('add_subtask_to_tasks_states(%r, %r, %r, %r)', node_name,
node_id, ctd, address)
ss = SubtaskState()
ss.time_started = time.time()
ss.node_id = node_id
ss.node_name = node_name
ss.deadline = ctd['deadline']
ss.subtask_definition = ctd['short_description']
ss.subtask_id = ctd['subtask_id']
ss.extra_data = ctd['extra_data']
ss.subtask_status = SubtaskStatus.starting
(self.tasks_states[ctd['task_id']].subtask_states[ctd['subtask_id']]
) = ss
def notify_update_task(self, task_id):
self.notice_task_updated(task_id)
@handle_task_key_error
def notice_task_updated(self,
task_id: str,
subtask_id: str = None,
op: Operation = None,
persist: bool = True):
"""Called when a task is modified, saves the task and
propagates information
Whenever task is changed `notice_task_updated` should be called
to save the task - if the change is save-worthy, as specified
by the `persist` parameter - and propagate information about
changed task to other parts of the system.
Most of the calls are save-worthy, but a minority is not: for
instance when the work offer is received, the task does not
change so saving it does not make sense, but it still makes
sense to let other parts of the system know about the change.
Also, when a number of minor changes are always followed by a
major one, as it is with restarting a frame task, it does not
make sense to store all the partial changes, so only the
final one is considered save-worthy.
:param str task_id: id of the updated task
:param str subtask_id: if the operation done on the
task is related to a subtask, id of that subtask
:param Operation op: performed operation
:param bool persist: should the task be persisted now
"""
# self.save_state()
logger.debug(
"Notice task updated. task_id=%s, subtask_id=%s,"
"op=%s, persist=%s",
task_id,
subtask_id,
op,
persist,
)
if persist and self.task_persistence:
self.dump_task(task_id)
task_state = self.tasks_states.get(task_id)
dispatcher.send(
signal='golem.taskmanager',
event='task_status_updated',
task_id=task_id,
task_state=task_state,
subtask_id=subtask_id,
op=op,
)
if self.finished_cb and persist and op \
and op.task_related() and op.is_completed():
self.finished_cb()
