class ExecuteBuilder:
def __init__(self, id: int, repeat_count: int = 1, exit=True):
self.session = Session.create_session(key='ExecuteBuilder')
self.id = id
self.repeat_count = repeat_count
self.logger = create_logger(self.session, 'ExecuteBuilder')
self.exit = exit
self.provider = None
self.library_provider = None
self.storage = None
self.task = None
self.dag = None
self.executor = None
self.hostname = None
self.docker_img = None
self.worker_index = None
self.queue_personal = None
self.config = None
self.executor_type = None
def info(self, msg: str, step=None):
self.logger.info(msg, ComponentType.Worker, self.hostname, self.id,
step)
def error(self, msg: str, step=None):
self.logger.error(msg, ComponentType.Worker, self.hostname, self.id,
step)
def warning(self, msg: str, step=None):
self.logger.warning(msg, ComponentType.Worker, self.hostname, self.id,
step)
def debug(self, msg: str, step=None):
self.logger.debug(msg, ComponentType.Worker, self.hostname, self.id,
step)
def create_base(self):
self.info('create_base')
if app.current_task:
app.current_task.update_state(state=states.SUCCESS)
app.control.revoke(app.current_task.request.id, terminate=True)
self.provider = TaskProvider(self.session)
self.library_provider = DagLibraryProvider(self.session)
self.storage = Storage(self.session)
self.task = self.provider.by_id(
self.id, joinedload(Task.dag_rel, innerjoin=True))
if not self.task:
raise Exception(f'task with id = {self.id} is not found')
self.dag = self.task.dag_rel
self.executor = None
self.hostname = socket.gethostname()
self.docker_img = DOCKER_IMG
self.worker_index = os.getenv('WORKER_INDEX', -1)
self.queue_personal = f'{self.hostname}_{self.docker_img}_' \
f'{self.worker_index}'
self.config = Config.from_yaml(self.dag.config)
set_global_seed(self.config['info'].get('seed', 0))
self.executor_type = self.config['executors'][
self.task.executor]['type']
executor = self.config['executors'][self.task.executor]
if os.getenv('CUDA_VISIBLE_DEVICES', '').strip() != '':
cuda_visible_devices = os.getenv('CUDA_VISIBLE_DEVICES',
'').split(',')
self.task.gpu_assigned = ','.join([
cuda_visible_devices[int(g)]
for g in (self.task.gpu_assigned or '').split(',')
])
cuda_visible_devices = self.task.gpu_assigned
else:
cuda_visible_devices = self.task.gpu_assigned
cuda_visible_devices = cuda_visible_devices or ''
env = {
'MKL_NUM_THREADS': 1,
'OMP_NUM_THREADS': 1,
'CUDA_VISIBLE_DEVICES': cuda_visible_devices
}
env.update(executor.get('env', {}))
for k, v in env.items():
os.environ[k] = str(v)
self.info(f'Set env. {k} = {v}')
def check_status(self):
self.info('check_status')
assert self.dag is not None, 'You must fetch task with dag_rel'
if self.task.status >= TaskStatus.InProgress.value:
msg = f'Task = {self.task.id}. Status = {self.task.status}, ' \
f'before the execute_by_id invocation.'
if app.current_task:
msg += f' Request Id = {app.current_task.request.id}'
self.error(msg)
return True
def change_status(self):
self.info('change_status')
self.task.computer_assigned = self.hostname
self.task.pid = os.getpid()
self.task.worker_index = self.worker_index
self.task.docker_assigned = self.docker_img
self.provider.change_status(self.task, TaskStatus.InProgress)
def download(self):
self.info('download')
if not self.task.debug:
folder = self.storage.download(task=self.id)
else:
folder = os.getcwd()
os.chdir(folder)
libraries = self.library_provider.dag(self.task.dag)
executor_type = self.executor_type
self.info('download. folder changed')
mlcomp_executors_folder = join(dirname(abspath(__file__)), 'executors')
mlcomp_base_folder = os.path.abspath(
join(mlcomp_executors_folder, '../../../'))
imported, was_installation = self.storage.import_executor(
mlcomp_executors_folder, mlcomp_base_folder, executor_type)
if not imported:
imported, was_installation = self.storage.import_executor(
folder, folder, executor_type, libraries)
if not imported:
raise Exception(f'Executor = {executor_type} not found')
self.info('download. executor imported')
if was_installation and not self.task.debug:
if self.repeat_count > 0:
self.info('was installation. '
'set task status to Queued. '
'And resending the task to a queue')
self.task.status = TaskStatus.Queued.value
self.provider.commit()
try:
execute.apply_async((self.id, self.repeat_count - 1),
queue=self.queue_personal,
retry=False)
except Exception:
pass
finally:
sys.exit()
assert Executor.is_registered(executor_type), \
f'Executor {executor_type} was not found'
def create_executor(self):
self.info('create_executor')
additional_info = yaml_load(self.task.additional_info) \
if self.task.additional_info else dict()
self.executor = Executor.from_config(executor=self.task.executor,
config=self.config,
additional_info=additional_info,
session=self.session,
logger=self.logger)
def execute(self):
self.info('execute start')
res = self.executor(task=self.task,
task_provider=self.provider,
dag=self.dag)
self.info('execute executor finished')
res = res or {}
self.task.result = yaml_dump(res)
self.provider.commit()
if 'stage' in res and 'stages' in res:
index = res['stages'].index(res['stage'])
if index < len(res['stages']) - 1:
self.executor.info(f'stage = {res["stage"]} done. '
f'Go to the stage = '
f'{res["stages"][index + 1]}')
time.sleep(3)
self.executor.info(f'sending {(self.id, self.repeat_count)} '
f'to {self.queue_personal}')
self.task.status = TaskStatus.Queued.value
self.provider.commit()
execute.apply_async((self.id, self.repeat_count),
queue=self.queue_personal,
retry=False)
return
self.executor.step.finish()
self.provider.change_status(self.task, TaskStatus.Success)
self.info('execute end')
def build(self):
try:
self.create_base()
bad_status = self.check_status()
if bad_status:
return
self.change_status()
self.download()
self.create_executor()
self.execute()
except Exception as e:
step = self.executor.step.id if \
(self.executor and self.executor.step) else None
if Session.sqlalchemy_error(e):
Session.cleanup(key='ExecuteBuilder')
self.session = Session.create_session(key='ExecuteBuilder')
self.logger.session = create_logger(self.session,
'ExecuteBuilder')
self.error(traceback.format_exc(), step)
if self.task.status <= TaskStatus.InProgress.value:
self.provider.change_status(self.task, TaskStatus.Failed)
raise e
finally:
if app.current_task:
app.close()
if self.exit:
# noinspection PyProtectedMember
os._exit(0)
class DagStandardBuilder:
def __init__(self,
session: Session,
config: dict,
debug: bool,
config_text: str = None,
upload_files: bool = True,
copy_files_from: int = None,
config_path: str = None,
control_reqs: bool = True):
self.session = session
self.config = config
self.debug = debug
self.config_text = config_text
self.upload_files = upload_files
self.copy_files_from = copy_files_from
self.config_path = config_path
self.control_reqs = control_reqs
self.info = config['info']
self.layout_name = self.info.get('layout')
self.provider = None
self.report_provider = None
self.report_tasks_provider = None
self.report_layout_provider = None
self.storage = None
self.dag_provider = None
self.project = None
self.layouts = None
self.dag = None
self.dag_report_id = None
self.created = None
self.project_provider = None
def create_providers(self):
self.provider = TaskProvider(self.session)
self.report_provider = ReportProvider(self.session)
self.report_tasks_provider = ReportTasksProvider(self.session)
self.report_layout_provider = ReportLayoutProvider(self.session)
self.project_provider = ProjectProvider(self.session)
self.storage = Storage(self.session)
self.dag_provider = DagProvider(self.session)
def load_base(self):
project = self.project_provider.by_name(self.info['project'])
if project is None:
project = self.project_provider.add_project(self.info['project'])
self.project = project.id
self.layouts = self.report_layout_provider.all()
def create_report(self):
self.dag_report_id = None
layout_name = self.layout_name
if layout_name:
if layout_name not in self.layouts:
raise Exception(f'Unknown layout = {layout_name}')
report = Report(config=yaml_dump(self.layouts[layout_name]),
name=self.info['name'],
project=self.project,
layout=layout_name)
self.report_provider.add(report)
self.dag_report_id = report.id
def create_dag(self):
dag = Dag(config=self.config_text or yaml_dump(self.config),
project=self.project,
name=self.info['name'],
docker_img=self.info.get('docker_img'),
type=DagType.Standard.value,
created=now(),
report=self.dag_report_id)
self.dag = self.dag_provider.add(dag)
def upload(self):
if self.upload_files:
folder = os.getcwd()
if 'expdir' in self.config['info']:
path = os.path.dirname(os.path.abspath(self.config_path))
folder = os.path.abspath(
os.path.join(path, self.config['info']['expdir']))
self.storage.upload(folder,
self.dag,
control_reqs=self.control_reqs)
elif self.copy_files_from:
self.storage.copy_from(self.copy_files_from, self.dag)
def create_task(self, k: str, v: dict, name: str, info: dict):
task_type = TaskType.User.value
if v.get('task_type') == 'train' or \
Executor.is_trainable(v['type']):
task_type = TaskType.Train.value
gpu = str(v.get('gpu', '0'))
if '-' not in gpu:
gpu = int(gpu)
gpu_max = gpu
else:
gpu, gpu_max = map(int, gpu.split('-'))
if gpu == 0 and gpu_max > 0:
raise Exception(f'Executor = {k} Gpu_max can"t be>0 when gpu=0')
task = Task(name=name,
executor=k,
computer=self.info.get('computer'),
gpu=gpu,
gpu_max=gpu_max,
cpu=v.get('cpu', 1),
memory=v.get('memory', 0.1),
dag=self.dag.id,
debug=self.debug,
steps=int(v.get('steps', '1')),
type=task_type)
task.additional_info = ''
if self.layout_name and task_type == TaskType.Train.value:
if self.layout_name not in self.layouts:
raise Exception(f'Unknown report = {v["report"]}')
report_config = self.layouts[self.layout_name]
info['report_config'] = report_config
task.additional_info = yaml_dump(info)
self.provider.add(task, commit=False)
report = Report(config=yaml_dump(report_config),
name=task.name,
project=self.project,
layout=self.layout_name)
self.report_provider.add(report)
task.report = report.id
self.report_tasks_provider.add(
ReportTasks(report=report.id, task=task.id))
self.report_tasks_provider.add(
ReportTasks(report=self.dag_report_id, task=task.id))
self.provider.commit()
else:
self.provider.add(task)
return task.id
def create_tasks(self):
created = OrderedDict()
executors = self.config['executors']
while len(created) < len(executors):
for k, v in executors.items():
valid = True
if 'depends' in v:
depends = v['depends']
if not isinstance(depends, list):
depends = [depends]
for d in depends:
if d == k:
raise Exception(f'Executor {k} depends ot itself')
if d not in executors:
raise Exception(f'Executor {k} depend on {d} '
f'which does not exist')
valid = valid and d in created
if valid:
names = []
infos = []
if 'grid' in v:
grid = v['grid']
cells = grid_cells(grid)
for i, (cell, cell_name) in enumerate(cells):
name = f'{k} {cell_name}'
names.append(name)
infos.append({'grid_cell': i})
else:
names.append(k)
infos.append({})
ids = []
for name, info in zip(names, infos):
id = self.create_task(k, v, name=name, info=info)
ids.append(id)
if 'depends' in v:
depends = v['depends']
if not isinstance(depends, list):
depends = [depends]
for d in depends:
for dd in created[d]:
self.provider.add_dependency(id, dd)
created[k] = ids
self.created = created
def build(self):
self.create_providers()
self.load_base()
self.create_report()
self.create_dag()
self.upload()
self.create_tasks()
return self.created
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)
class ExecuteBuilder:
def __init__(self, id: int, repeat_count: int = 1, exit=True):
self.session = Session.create_session(key='ExecuteBuilder')
self.id = id
self.repeat_count = repeat_count
self.logger = create_logger(self.session, 'ExecuteBuilder')
self.exit = exit
self.provider = None
self.library_provider = None
self.storage = None
self.task = None
self.dag = None
self.executor = None
self.hostname = None
self.docker_img = None
self.worker_index = None
self.queue_personal = None
self.config = None
self.executor_type = None
def info(self, msg: str, step=None):
self.logger.info(msg, ComponentType.Worker, self.hostname, self.id,
step)
def error(self, msg: str, step=None):
self.logger.error(msg, ComponentType.Worker, self.hostname, self.id,
step)
def warning(self, msg: str, step=None):
self.logger.warning(msg, ComponentType.Worker, self.hostname, self.id,
step)
def debug(self, msg: str, step=None):
self.logger.debug(msg, ComponentType.Worker, self.hostname, self.id,
step)
def create_base(self):
self.info('create_base')
self.provider = TaskProvider(self.session)
self.library_provider = DagLibraryProvider(self.session)
self.storage = Storage(self.session)
self.task = self.provider.by_id(
self.id, joinedload(Task.dag_rel, innerjoin=True))
if not self.task:
raise Exception(f'task with id = {self.id} is not found')
self.dag = self.task.dag_rel
self.executor = None
self.hostname = socket.gethostname()
self.docker_img = DOCKER_IMG
self.worker_index = os.getenv('WORKER_INDEX', -1)
self.queue_personal = f'{self.hostname}_{self.docker_img}_' \
f'{self.worker_index}'
self.config = Config.from_yaml(self.dag.config)
self.executor_type = self.config['executors'][
self.task.executor]['type']
def check_status(self):
self.info('check_status')
assert self.dag is not None, 'You must fetch task with dag_rel'
if self.task.status > TaskStatus.InProgress.value:
msg = f'Task = {self.task.id}. Status = {self.task.status}, ' \
f'before the execute_by_id invocation'
self.error(msg)
raise Exception(msg)
def change_status(self):
self.info('change_status')
self.task.computer_assigned = self.hostname
self.task.pid = os.getpid()
self.task.worker_index = self.worker_index
self.task.docker_assigned = self.docker_img
self.provider.change_status(self.task, TaskStatus.InProgress)
def download(self):
self.info('download')
if not self.task.debug:
folder = self.storage.download(task=self.id)
else:
folder = os.getcwd()
os.chdir(folder)
libraries = self.library_provider.dag(self.task.dag)
executor_type = self.executor_type
mlcomp_executors_folder = join(dirname(abspath(__file__)), 'executors')
mlcomp_base_folder = os.path.abspath(
join(mlcomp_executors_folder, '../../../'))
imported, was_installation = self.storage.import_executor(
mlcomp_executors_folder, mlcomp_base_folder, executor_type)
if not imported:
imported, was_installation = self.storage.import_executor(
folder, folder, executor_type, libraries)
if not imported:
raise Exception(f'Executor = {executor_type} not found')
if was_installation and not self.task.debug:
if self.repeat_count > 0:
try:
self.warning(traceback.format_exc())
execute.apply_async((self.id, self.repeat_count - 1),
queue=self.queue_personal)
except Exception:
pass
finally:
sys.exit()
assert Executor.is_registered(executor_type), \
f'Executor {executor_type} was not found'
def create_executor(self):
self.info('create_executor')
additional_info = yaml_load(self.task.additional_info) \
if self.task.additional_info else dict()
self.executor = Executor.from_config(executor=self.task.executor,
config=self.config,
additional_info=additional_info,
session=self.session,
logger=self.logger)
def execute(self):
self.info('execute start')
res = self.executor(task=self.task,
task_provider=self.provider,
dag=self.dag)
self.info('execute executor finished')
res = res or {}
self.task.result = yaml_dump(res)
self.provider.commit()
if 'stage' in res and 'stages' in res:
index = res['stages'].index(res['stage'])
if index < len(res['stages']) - 1:
self.executor.info(f'stage = {res["stage"]} done. '
f'Go to the stage = '
f'{res["stages"][index + 1]}')
time.sleep(3)
self.executor.info(f'sending {(self.id, self.repeat_count)} '
f'to {self.queue_personal}')
execute.apply_async((self.id, self.repeat_count),
queue=self.queue_personal)
return
self.executor.step.finish()
self.provider.change_status(self.task, TaskStatus.Success)
self.info('execute end')
def build(self):
try:
self.create_base()
self.check_status()
self.change_status()
self.download()
self.create_executor()
self.execute()
except Exception as e:
if Session.sqlalchemy_error(e):
Session.cleanup(key='ExecuteBuilder')
self.session = Session.create_session(key='ExecuteBuilder')
self.logger.session = create_logger(self.session,
'ExecuteBuilder')
step = self.executor.step.id if \
(self.executor and self.executor.step) else None
self.error(traceback.format_exc(), step)
self.provider.change_status(self.task, TaskStatus.Failed)
raise e
finally:
if app.current_task:
app.current_task.update_state(state=states.SUCCESS)
app.close()
if self.exit:
# noinspection PyProtectedMember
os._exit(0)
