def sync_manual(self, computer: Computer, provider: ComputerProvider):
"""
button sync was clicked manually
"""
if not computer.meta:
return
meta = yaml_load(computer.meta)
if 'manual_sync' not in meta:
return
manual_sync = meta['manual_sync']
project_provider = ProjectProvider(self.session)
docker_provider = DockerProvider(self.session)
dockers = docker_provider.get_online()
project = project_provider.by_id(manual_sync['project'])
for docker in dockers:
if docker.computer == computer.name:
continue
source = provider.by_name(docker.computer)
ignore_folders = [
[join('models', project.name), []]
]
sync_directed(self.session, target=computer, source=source,
ignore_folders=ignore_folders)
del meta['manual_sync']
computer.meta = yaml_dump(meta)
provider.update()
def worker_usage(session: Session, logger):
provider = ComputerProvider(session)
docker_provider = DockerProvider(session)
computer = socket.gethostname()
docker = docker_provider.get(computer, DOCKER_IMG)
usages = []
for _ in range(1 if MODE_ECONOMIC else 10):
# noinspection PyProtectedMember
memory = dict(psutil.virtual_memory()._asdict())
usage = {
'cpu':
psutil.cpu_percent(),
'disk':
disk(ROOT_FOLDER)[1],
'memory':
memory['percent'],
'gpu': [{
'memory': g.memoryUtil * 100,
'load': g.load * 100
} for g in GPUtil.getGPUs()]
}
provider.current_usage(computer, usage)
usages.append(usage)
docker.last_activity = now()
docker_provider.update()
time.sleep(10 if MODE_ECONOMIC else 1)
usage = json.dumps({'mean': dict_func(usages, np.mean)})
provider.add(ComputerUsage(computer=computer, usage=usage, time=now()))
def sync_manual(self, computer: Computer, provider: ComputerProvider):
"""
button sync was clicked manually
"""
if not computer.meta:
return
meta = yaml_load(computer.meta)
if 'manual_sync' not in meta:
return
manual_sync = meta['manual_sync']
project_provider = ProjectProvider(self.session)
docker_provider = DockerProvider(self.session)
dockers = docker_provider.get_online()
project = project_provider.by_id(manual_sync['project'])
sync_folders = manual_sync['sync_folders']
ignore_folders = manual_sync['ignore_folders']
sync_folders = correct_folders(sync_folders, project.name)
ignore_folders = correct_folders(ignore_folders, project.name)
if not isinstance(sync_folders, list):
sync_folders = []
if not isinstance(ignore_folders, list):
ignore_folders = []
for docker in dockers:
if docker.computer == computer.name:
continue
source = provider.by_name(docker.computer)
folders = [[s, ignore_folders] for s in sync_folders]
computer.syncing_computer = source.name
provider.update()
try:
sync_directed(
self.session,
target=computer,
source=source,
folders=folders
)
except Exception as e:
self.process_error(e)
del meta['manual_sync']
computer.meta = yaml_dump(meta)
provider.update()
def create_base(self):
self.session.commit()
self.provider = TaskProvider(self.session)
self.computer_provider = ComputerProvider(self.session)
self.docker_provider = DockerProvider(self.session)
self.auxiliary_provider = AuxiliaryProvider(self.session)
self.dag_provider = DagProvider(self.session)
self.queues = [
f'{d.computer}_{d.name}' for d in self.docker_provider.all()
if d.last_activity >= now() - datetime.timedelta(seconds=15)
]
self.auxiliary['queues'] = self.queues
def _create_docker():
docker = Docker(
name=DOCKER_IMG,
computer=socket.gethostname(),
ports='-'.join(list(map(str, MASTER_PORT_RANGE))),
last_activity=now()
)
DockerProvider(_session).create_or_update(docker, 'name', 'computer')
def worker_usage(session: Session, logger):
provider = ComputerProvider(session)
docker_provider = DockerProvider(session)
computer = socket.gethostname()
docker = docker_provider.get(computer, DOCKER_IMG)
usages = []
count = int(10 / WORKER_USAGE_INTERVAL)
count = max(1, count)
for _ in range(count):
# noinspection PyProtectedMember
memory = dict(psutil.virtual_memory()._asdict())
try:
gpus = GPUtil.getGPUs()
except ValueError as err:
logger.info(f"Active GPUs not found: {err}")
gpus = []
usage = {
'cpu':
psutil.cpu_percent(),
'disk':
disk(ROOT_FOLDER)[1],
'memory':
memory['percent'],
'gpu': [{
'memory': g.memoryUtil * 100,
'load': g.load * 100
} for g in gpus]
}
provider.current_usage(computer, usage)
usages.append(usage)
docker.last_activity = now()
docker_provider.update()
time.sleep(WORKER_USAGE_INTERVAL)
usage = json.dumps({'mean': dict_func(usages, np.mean)})
provider.add(ComputerUsage(computer=computer, usage=usage, time=now()))
def remove_from_all(session: Session, path: str):
provider = DockerProvider(session)
dockers = provider.get_online()
for docker in dockers:
queue = f'{docker.computer}_{docker.name or "default"}_supervisor'
remove.apply((path, ), queue=queue)
class SupervisorBuilder:
def __init__(self):
self.session = Session.create_session(key='SupervisorBuilder')
self.logger = create_logger(self.session, 'SupervisorBuilder')
self.provider = None
self.computer_provider = None
self.docker_provider = None
self.auxiliary_provider = None
self.dag_provider = None
self.queues = None
self.not_ran_tasks = None
self.dep_status = None
self.computers = None
self.auxiliary = {}
self.tasks = []
self.tasks_stop = []
self.dags_start = []
self.sent_tasks = 0
def create_base(self):
self.session.commit()
self.provider = TaskProvider(self.session)
self.computer_provider = ComputerProvider(self.session)
self.docker_provider = DockerProvider(self.session)
self.auxiliary_provider = AuxiliaryProvider(self.session)
self.dag_provider = DagProvider(self.session)
self.queues = [
f'{d.computer}_{d.name}' for d in self.docker_provider.all()
if d.last_activity >= now() - datetime.timedelta(seconds=15)
]
self.auxiliary['queues'] = self.queues
def load_tasks(self):
self.tasks = self.provider.by_status(TaskStatus.NotRan,
TaskStatus.InProgress,
TaskStatus.Queued)
not_ran_tasks = [t for t in self.tasks if
t.status == TaskStatus.NotRan.value]
self.not_ran_tasks = [task for task in not_ran_tasks if not task.debug]
self.not_ran_tasks = sorted(
self.not_ran_tasks, key=lambda x: x.gpu or 0,
reverse=True)
self.logger.debug(
f'Found {len(not_ran_tasks)} not ran tasks',
ComponentType.Supervisor
)
self.dep_status = self.provider.dependency_status(self.not_ran_tasks)
self.auxiliary['not_ran_tasks'] = [
{
'id': t.id,
'name': t.name,
'dep_status': [
TaskStatus(s).name
for s in self.dep_status.get(t.id, set())
]
} for t in not_ran_tasks[:5]
]
def load_computers(self):
computers = self.computer_provider.computers()
for computer in computers.values():
computer['gpu'] = [0] * computer['gpu']
computer['ports'] = set()
computer['cpu_total'] = computer['cpu']
computer['memory_total'] = computer['memory']
computer['gpu_total'] = len(computer['gpu'])
computer['can_process_tasks'] = computer['can_process_tasks']
tasks = [
t for t in self.tasks if
t.status in [TaskStatus.InProgress.value,
TaskStatus.Queued.value]
]
for task in tasks:
if task.computer_assigned is None:
continue
assigned = task.computer_assigned
comp_assigned = computers[assigned]
comp_assigned['cpu'] -= task.cpu
if task.gpu_assigned is not None:
for g in task.gpu_assigned.split(','):
comp_assigned['gpu'][int(g)] = task.id
comp_assigned['memory'] -= task.memory * 1024
info = yaml_load(task.additional_info)
if 'distr_info' in info:
dist_info = info['distr_info']
if dist_info['rank'] == 0:
comp_assigned['ports'].add(dist_info['master_port'])
self.computers = [
{
**value, 'name': name
} for name, value in computers.items()
]
self.auxiliary['computers'] = self.computers
def process_to_celery(self, task: Task, queue: str, computer: dict):
r = execute.apply_async((task.id,), queue=queue, retry=False)
task.status = TaskStatus.Queued.value
task.computer_assigned = computer['name']
task.celery_id = r.id
if task.computer_assigned is not None:
if task.gpu_assigned:
for g in map(int, task.gpu_assigned.split(',')):
computer['gpu'][g] = task.id
computer['cpu'] -= task.cpu
computer['memory'] -= task.memory * 1024
self.logger.info(
f'Sent task={task.id} to celery. Queue = {queue} '
f'Task status = {task.status} Celery_id = {r.id}',
ComponentType.Supervisor)
self.provider.update()
def create_service_task(
self,
task: Task,
gpu_assigned=None,
distr_info: dict = None,
resume: dict = None
):
new_task = Task(
name=task.name,
computer=task.computer,
executor=task.executor,
status=TaskStatus.NotRan.value,
type=TaskType.Service.value,
gpu_assigned=gpu_assigned,
parent=task.id,
report=task.report,
dag=task.dag
)
new_task.additional_info = task.additional_info
if distr_info:
additional_info = yaml_load(new_task.additional_info)
additional_info['distr_info'] = distr_info
new_task.additional_info = yaml_dump(additional_info)
if resume:
additional_info = yaml_load(new_task.additional_info)
additional_info['resume'] = resume
new_task.additional_info = yaml_dump(additional_info)
return self.provider.add(new_task)
def find_port(self, c: dict, docker_name: str):
docker = self.docker_provider.get(c['name'], docker_name)
ports = list(map(int, docker.ports.split('-')))
for p in range(ports[0], ports[1] + 1):
if p not in c['ports']:
return p
raise Exception(f'All ports in {c["name"]} are taken')
def _process_task_valid_computer(self, task: Task, c: dict,
single_node: bool):
if not c['can_process_tasks']:
return 'this computer can not process tasks'
if task.computer is not None and task.computer != c['name']:
return 'name set in the config!= name of this computer'
if task.cpu > c['cpu']:
return f'task cpu = {task.cpu} > computer' \
f' free cpu = {c["cpu"]}'
if task.memory > c['memory']:
return f'task cpu = {task.cpu} > computer ' \
f'free memory = {c["memory"]}'
queue = f'{c["name"]}_' \
f'{task.dag_rel.docker_img or "default"}'
if queue not in self.queues:
return f'required queue = {queue} not in queues'
if task.gpu > 0 and not any(g == 0 for g in c['gpu']):
return f'task requires gpu, but there is not any free'
free_gpu = sum(g == 0 for g in c['gpu'])
if single_node and task.gpu > free_gpu:
return f'task requires {task.gpu} ' \
f'but there are only {free_gpu} free'
def _process_task_get_computers(
self, executor: dict, task: Task, auxiliary: dict
):
single_node = executor.get('single_node', True)
computers = []
for c in self.computers:
error = self._process_task_valid_computer(task, c, single_node)
auxiliary['computers'].append({'name': c['name'], 'error': error})
if not error:
computers.append(c)
if task.gpu > 0 and single_node and len(computers) > 0:
computers = sorted(
computers,
key=lambda x: sum(g == 0 for g in c['gpu']),
reverse=True
)[:1]
free_gpu = sum(sum(g == 0 for g in c['gpu']) for c in computers)
if task.gpu > free_gpu:
auxiliary['not_valid'] = f'gpu required by the ' \
f'task = {task.gpu},' \
f' but there are only {free_gpu} ' \
f'free gpus'
return []
return computers
def _process_task_to_send(
self, executor: dict, task: Task, computers: List[dict]
):
distr = executor.get('distr', True)
to_send = []
for computer in computers:
queue = f'{computer["name"]}_' \
f'{task.dag_rel.docker_img or "default"}'
if task.gpu_max > 1 and distr:
for index, task_taken_gpu in enumerate(computer['gpu']):
if task_taken_gpu:
continue
to_send.append([computer, queue, index])
if len(to_send) >= task.gpu_max:
break
if len(to_send) >= task.gpu_max:
break
elif task.gpu_max > 0:
cuda_devices = []
for index, task_taken_gpu in enumerate(computer['gpu']):
if task_taken_gpu:
continue
cuda_devices.append(index)
if len(cuda_devices) >= task.gpu_max:
break
task.gpu_assigned = ','.join(map(str, cuda_devices))
self.process_to_celery(task, queue, computer)
else:
self.process_to_celery(task, queue, computer)
break
return to_send
def process_task(self, task: Task):
auxiliary = self.auxiliary['process_tasks'][-1]
auxiliary['computers'] = []
config = yaml_load(task.dag_rel.config)
executor = config['executors'][task.executor]
computers = self._process_task_get_computers(executor, task, auxiliary)
if len(computers) == 0:
return
to_send = self._process_task_to_send(executor, task, computers)
auxiliary['to_send'] = to_send[:5]
additional_info = yaml_load(task.additional_info)
rank = 0
master_port = None
if len(to_send) > 0:
master_port = self.find_port(
to_send[0][0], to_send[0][1].split('_')[1]
)
computer_names = {c['name'] for c, _, __ in to_send}
if len(computer_names) == 1:
task.computer_assigned = list(computer_names)[0]
for computer, queue, gpu_assigned in to_send:
main_cmp = to_send[0][0]
# noinspection PyTypeChecker
ip = 'localhost' if computer['name'] == main_cmp['name'] \
else main_cmp['ip']
distr_info = {
'master_addr': ip,
'rank': rank,
'local_rank': gpu_assigned,
'master_port': master_port,
'world_size': len(to_send),
'master_computer': main_cmp['name']
}
service_task = self.create_service_task(
task,
distr_info=distr_info,
gpu_assigned=gpu_assigned,
resume=additional_info.get('resume')
)
self.process_to_celery(service_task, queue, computer)
rank += 1
main_cmp['ports'].add(master_port)
if len(to_send) > 0:
task.status = TaskStatus.Queued.value
self.sent_tasks += len(to_send)
def process_tasks(self):
self.auxiliary['process_tasks'] = []
for task in self.not_ran_tasks:
auxiliary = {'id': task.id, 'name': task.name}
self.auxiliary['process_tasks'].append(auxiliary)
if task.dag_rel is None:
task.dag_rel = self.dag_provider.by_id(task.dag)
if TaskStatus.Stopped.value in self.dep_status[task.id] \
or TaskStatus.Failed.value in self.dep_status[task.id] or \
TaskStatus.Skipped.value in self.dep_status[task.id]:
auxiliary['not_valid'] = 'stopped or failed in dep_status'
self.provider.change_status(task, TaskStatus.Skipped)
continue
if len(self.dep_status[task.id]) != 0 \
and self.dep_status[task.id] != {TaskStatus.Success.value}:
auxiliary['not_valid'] = 'not all dep tasks are finished'
continue
self.process_task(task)
self.auxiliary['process_tasks'] = self.auxiliary['process_tasks'][:5]
def _stop_child_tasks(self, task: Task):
self.provider.commit()
children = self.provider.children(task.id, [Task.dag_rel])
dags = [c.dag_rel for c in children]
for c, d in zip(children, dags):
celery_tasks.stop(self.logger, self.session, c, d)
def process_parent_tasks(self):
tasks = self.provider.parent_tasks_stats()
was_change = False
for task, started, finished, statuses in tasks:
status = task.status
if statuses[TaskStatus.Failed] > 0:
status = TaskStatus.Failed.value
elif statuses[TaskStatus.Skipped] > 0:
status = TaskStatus.Skipped.value
elif statuses[TaskStatus.Queued] > 0:
status = TaskStatus.Queued.value
elif statuses[TaskStatus.InProgress] > 0:
status = TaskStatus.InProgress.value
elif statuses[TaskStatus.Success] > 0:
status = TaskStatus.Success.value
if status != task.status:
if status == TaskStatus.InProgress.value:
task.started = started
elif status >= TaskStatus.Failed.value:
task.started = started
task.finished = finished
self._stop_child_tasks(task)
was_change = True
task.status = status
if was_change:
self.provider.commit()
self.auxiliary['parent_tasks_stats'] = [
{
'name': task.name,
'id': task.id,
'started': task.started,
'finished': finished,
'statuses': [
{
'name': k.name,
'count': v
} for k, v in statuses.items()
],
} for task, started, finished, statuses in tasks[:5]
]
def write_auxiliary(self):
self.auxiliary['duration'] = (now() - self.auxiliary['time']). \
total_seconds()
auxiliary = Auxiliary(
name='supervisor', data=yaml_dump(self.auxiliary)
)
if len(auxiliary.data) > 16000:
return
self.auxiliary_provider.create_or_update(auxiliary, 'name')
def stop_tasks(self, tasks: List[Task]):
self.tasks_stop.extend([t.id for t in tasks])
def process_stop_tasks(self):
# Stop not running tasks
if len(self.tasks_stop) == 0:
return
tasks = self.provider.by_ids(self.tasks_stop)
tasks_not_ran = [t.id for t in tasks if
t.status in [TaskStatus.NotRan.value,
TaskStatus.Queued.value]]
tasks_started = [t for t in tasks if
t.status in [TaskStatus.InProgress.value]]
tasks_started_ids = [t.id for t in tasks_started]
self.provider.change_status_all(tasks=tasks_not_ran,
status=TaskStatus.Skipped)
pids = []
for task in tasks_started:
if task.pid:
pids.append((task.computer_assigned, task.pid))
additional_info = yaml_load(task.additional_info)
for p in additional_info.get('child_processes', []):
pids.append((task.computer_assigned, p))
for computer, queue in self.docker_provider.queues_online():
pids_computer = [p for c, p in pids if c == computer]
if len(pids_computer) > 0:
celery_tasks.kill_all.apply_async((pids_computer,),
queue=queue,
retry=False)
self.provider.change_status_all(tasks=tasks_started_ids,
status=TaskStatus.Stopped)
self.tasks_stop = []
def fast_check(self):
if self.provider is None or self.computer_provider is None:
return False
if self.not_ran_tasks is None or self.queues is None:
return False
if len(self.tasks_stop) > 0:
return False
if len(self.dags_start) > 0:
return False
if len(self.auxiliary.get('to_send', [])) > 0:
return False
queues = set([
f'{d.computer}_{d.name}' for d in self.docker_provider.all()
if d.last_activity >= now() - datetime.timedelta(seconds=15)
])
queues_set = set(queues)
queues_set2 = set(self.queues)
if queues_set != queues_set2:
return False
tasks = self.provider.by_status(TaskStatus.NotRan,
TaskStatus.Queued,
TaskStatus.InProgress)
tasks_set = {t.id for t in tasks if
t.status == TaskStatus.NotRan.value and not t.debug}
tasks_set2 = {t.id for t in self.tasks if
t.status == TaskStatus.NotRan.value}
if tasks_set != tasks_set2:
return False
tasks_set = {t.id for t in tasks if
t.status == TaskStatus.InProgress.value}
tasks_set2 = {t.id for t in self.tasks if
t.status == TaskStatus.InProgress.value}
if tasks_set != tasks_set2:
return False
tasks_set = {t.id for t in tasks if
t.status == TaskStatus.Queued.value}
tasks_set2 = {t.id for t in self.tasks if
t.status == TaskStatus.Queued.value}
if tasks_set != tasks_set2:
return False
return True
def start_dag(self, id: int):
self.dags_start.append(id)
def process_start_dags(self):
if len(self.dags_start) == 0:
return
for id in self.dags_start:
can_start_statuses = [
TaskStatus.Failed.value, TaskStatus.Skipped.value,
TaskStatus.Stopped.value
]
tasks = self.provider.by_dag(id)
children_all = self.provider.children([t.id for t in tasks])
def find_resume(task):
children = [c for c in children_all if c.parent == task.id]
children = sorted(children, key=lambda x: x.id, reverse=True)
if len(children) > 0:
for c in children:
if c.parent != task.id:
continue
info = yaml_load(c.additional_info)
if 'distr_info' not in info:
continue
if info['distr_info']['rank'] == 0:
return {
'master_computer': c.computer_assigned,
'master_task_id': c.id,
'load_last': True
}
raise Exception('Master task not found')
else:
return {
'master_computer': task.computer_assigned,
'master_task_id': task.id,
'load_last': True
}
for t in tasks:
if t.status not in can_start_statuses:
continue
if t.parent:
continue
if t.type == TaskType.Train.value:
info = yaml_load(t.additional_info)
info['resume'] = find_resume(t)
t.additional_info = yaml_dump(info)
t.status = TaskStatus.NotRan.value
t.pid = None
t.started = None
t.finished = None
t.computer_assigned = None
t.celery_id = None
t.worker_index = None
t.docker_assigned = None
self.provider.commit()
self.dags_start = []
def build(self):
try:
# if self.fast_check():
# return
self.auxiliary = {'time': now()}
self.create_base()
self.process_stop_tasks()
self.process_start_dags()
self.process_parent_tasks()
self.load_tasks()
self.load_computers()
self.process_tasks()
self.write_auxiliary()
except ObjectDeletedError:
pass
except Exception as e:
if Session.sqlalchemy_error(e):
Session.cleanup(key='SupervisorBuilder')
self.session = Session.create_session(key='SupervisorBuilder')
self.logger = create_logger(self.session, 'SupervisorBuilder')
self.logger.error(traceback.format_exc(), ComponentType.Supervisor)