Add Task trigger scheduler

Fix TaskScheduler executed instances
This commit is contained in:
allegroai 2021-08-07 19:39:19 +03:00
parent 7bb78c01bf
commit 8708967a5e
4 changed files with 759 additions and 17 deletions

View File

@ -3,7 +3,7 @@ import logging
from datetime import datetime
from threading import Thread, enumerate as enumerate_threads
from time import sleep, time
from typing import List, Union, Optional, Callable
from typing import List, Union, Optional, Callable, Sequence
from attr import attrs, attrib
from dateutil.relativedelta import relativedelta
@ -24,7 +24,7 @@ class BaseScheduleJob(object):
task_parameters = attrib(type=dict, default={})
task_overrides = attrib(type=dict, default={})
clone_task = attrib(type=bool, default=True)
_executed_instances = attrib(type=list, default=[])
_executed_instances = attrib(type=list, default=None)
def to_dict(self, full=False):
return {k: v for k, v in self.__dict__.items()
@ -53,6 +53,9 @@ class BaseScheduleJob(object):
def run(self, task_id):
# type (Optional[str]) -> datetime
if task_id:
# make sure we have a new instance
if not self._executed_instances:
self._executed_instances = []
self._executed_instances.append(str(task_id))
@ -230,8 +233,8 @@ class ScheduleJob(BaseScheduleJob):
@attrs
class ExecutedJob(object):
name = attrib(type=str)
started = attrib(type=datetime, converter=datetime_from_isoformat)
name = attrib(type=str, default=None)
started = attrib(type=datetime, converter=datetime_from_isoformat, default=None)
finished = attrib(type=datetime, converter=datetime_from_isoformat, default=None)
task_id = attrib(type=str, default=None)
thread_id = attrib(type=str, default=None)
@ -241,8 +244,14 @@ class ExecutedJob(object):
class BaseScheduler(object):
def __init__(self, sync_frequency_minutes=15, force_create_task_name=None, force_create_task_project=None):
# type: (float, Optional[str], Optional[str]) -> None
def __init__(
self,
sync_frequency_minutes=15,
force_create_task_name=None,
force_create_task_project=None,
pooling_frequency_minutes=None
):
# type: (float, Optional[str], Optional[str], Optional[float]) -> None
"""
Create a Task scheduler service
@ -254,6 +263,7 @@ class BaseScheduler(object):
even if main Task.init already exists.
"""
self._last_sync = 0
self._pooling_frequency_minutes = pooling_frequency_minutes
self._sync_frequency_minutes = sync_frequency_minutes
if force_create_task_name or not Task.current_task():
self._task = Task.init(
@ -297,6 +307,11 @@ class BaseScheduler(object):
# rate control
sleep(15)
# sleep until the next pool (default None)
if self._pooling_frequency_minutes:
self._log("Sleeping until the next pool in {} minutes".format(self._pooling_frequency_minutes))
sleep(self._pooling_frequency_minutes*60.)
def start_remotely(self, queue='services'):
# type: (str) -> None
"""
@ -360,8 +375,8 @@ class BaseScheduler(object):
self._launch_job_task(job)
self._launch_job_function(job)
def _launch_job_task(self, job):
# type: (BaseScheduleJob) -> Optional[ClearmlJob]
def _launch_job_task(self, job, task_parameters=None, add_tags=None):
# type: (BaseScheduleJob, Optional[dict], Optional[List[str]]) -> Optional[ClearmlJob]
# make sure this is not a function job
if job.base_function:
return None
@ -380,11 +395,12 @@ class BaseScheduler(object):
# actually run the job
task_job = ClearmlJob(
base_task_id=job.base_task_id,
parameter_override=job.task_parameters,
parameter_override=task_parameters or job.task_parameters,
task_overrides=job.task_overrides,
disable_clone_task=not job.clone_task,
allow_caching=False,
target_project=job.target_project,
tags=[add_tags] if add_tags and isinstance(add_tags, str) else add_tags,
)
self._log('Scheduling Job {}, Task {} on queue {}.'.format(
job.name, task_job.task_id(), job.queue))
@ -393,8 +409,8 @@ class BaseScheduler(object):
job.run(task_job.task_id())
return task_job
def _launch_job_function(self, job):
# type: (ScheduleJob) -> Optional[Thread]
def _launch_job_function(self, job, func_args=None):
# type: (BaseScheduleJob, Optional[Sequence]) -> Optional[Thread]
# make sure this IS a function job
if not job.base_function:
return None
@ -419,7 +435,7 @@ class BaseScheduler(object):
self._log("Scheduling Job '{}', Task '{}' on background thread".format(
job.name, job.base_function))
t = Thread(target=job.base_function)
t = Thread(target=job.base_function, args=func_args or ())
t.start()
# mark as run
job.run(t.ident)
@ -489,7 +505,8 @@ class TaskScheduler(BaseScheduler):
# type(...) -> bool
"""
Create a cron job alike scheduling for a pre existing Task.
Notice it is recommended to give the Task a descriptive name, if not provided a random UUID is used.
Notice it is recommended to give the schedule entry a descriptive unique name,
if not provided a task ID is used.
Examples:
Launch every 15 minutes
@ -763,7 +780,7 @@ class TaskScheduler(BaseScheduler):
# plot the schedule definition
columns = [
'name', 'base_task_id', 'next_run', 'target_project', 'queue',
'name', 'base_task_id', 'base_function', 'next_run', 'target_project', 'queue',
'minute', 'hour', 'day', 'month', 'year',
'starting_time', 'execution_limit_hours', 'recurring',
'single_instance', 'task_parameters', 'task_overrides', 'clone_task',
@ -772,6 +789,14 @@ class TaskScheduler(BaseScheduler):
for j in self._schedule_jobs:
j_dict = j.to_dict()
j_dict['next_run'] = j.next()
j_dict['base_function'] = "{}.{}".format(
getattr(j.base_function, '__module__', ''),
getattr(j.base_function, '__name__', '')
) if j.base_function else ''
if not j_dict.get('base_task_id'):
j_dict['clone_task'] = ''
row = [
str(j_dict.get(c)).split('.', 1)[0] if isinstance(j_dict.get(c), datetime) else str(j_dict.get(c) or '')
for c in columns
@ -802,7 +827,7 @@ class TaskScheduler(BaseScheduler):
[executed_job.name,
'<a href="{}">{}</a>'.format(task_link_template.format(
project='*', task=executed_job.task_id), executed_job.task_id)
if executed_job.task_id else '',
if executed_job.task_id else 'function',
str(executed_job.started).split('.', 1)[0], str(executed_job.finished).split('.', 1)[0]
]
]

View File

@ -0,0 +1,716 @@
import json
import logging
from datetime import datetime
from threading import enumerate as enumerate_threads
from typing import List, Optional, Dict
from attr import attrs, attrib
from .job import ClearmlJob
from .scheduler import BaseScheduleJob, BaseScheduler, ExecutedJob
from ..task import Task
from ..backend_api.session.client import APIClient
from ..backend_interface.util import datetime_to_isoformat, datetime_from_isoformat
@attrs
class BaseTrigger(BaseScheduleJob):
_only_fields = {"id", "name", "last_update", }
_update_field = None
project = attrib(default=None, type=str)
match_name = attrib(default=None, type=str)
tags = attrib(default=None, type=list) # type: List[str]
required_tags = attrib(default=None, type=list) # type: List[str]
add_tag = attrib(default=None, type=str)
last_update = attrib(default=None, type=datetime, converter=datetime_from_isoformat)
# remember the previous state of Ids answering the specific query
# any new object.id returned that is not in the list, is a new event
# we store a dict of {object_id: datetime}
# allowing us to ignore repeating object updates triggering multiple times
_triggered_instances = attrib(type=dict, default=None) # type: Dict[str, datetime]
def build_query(self, ref_time):
return {
'name': self.match_name or None,
'project': [self.project] if self.project else None,
'tags': ((self.tags or []) + (self.required_tags or [])) or None,
self._update_field: ">{}".format(ref_time.isoformat() if ref_time else self.last_update.isoformat())
}
def verify(self):
# type () -> None
super(BaseTrigger, self).verify()
if self.tags and (not isinstance(self.tags, (list, tuple)) or
not all(isinstance(s, str) for s in self.tags)):
raise ValueError("Tags must be a list of strings: {}".format(self.tags))
if self.required_tags and (not isinstance(self.required_tags, (list, tuple)) or
not all(isinstance(s, str) for s in self.required_tags)):
raise ValueError("Required tags must be a list of strings: {}".format(self.required_tags))
if self.project and not isinstance(self.project, str):
raise ValueError("Project must be a string: {}".format(self.project))
if self.match_name and not isinstance(self.match_name, str):
raise ValueError("Match name must be a string: {}".format(self.match_name))
def get_key(self):
return getattr(self, '_key', None)
@attrs
class ModelTrigger(BaseTrigger):
_task_param = '${model.id}'
_key = "models"
_only_fields = {"id", "name", "last_update", "ready", "tags"}
_update_field = "last_update"
on_publish = attrib(type=bool, default=None)
on_archive = attrib(type=bool, default=None)
def build_query(self, ref_time):
query = super(ModelTrigger, self).build_query(ref_time)
if self.on_publish:
query.update({'ready': True})
if self.on_archive:
system_tags = list(set(query.get('system_tags', []) + ['archived']))
query.update({'system_tags': system_tags})
return query
@attrs
class DatasetTrigger(BaseTrigger):
_task_param = '${dataset.id}'
_key = "tasks"
_only_fields = {"id", "name", "last_update", "status", "completed", "tags"}
_update_field = "last_update"
on_publish = attrib(type=bool, default=None)
on_archive = attrib(type=bool, default=None)
def build_query(self, ref_time):
query = super(DatasetTrigger, self).build_query(ref_time)
if self.on_publish:
query.update({'status': ['published']})
if self.on_archive:
system_tags = list(set(query.get('system_tags', []) + ['archived']))
query.update({'system_tags': system_tags})
return query
@attrs
class TaskTrigger(BaseTrigger):
_task_param = '${task.id}'
_key = "tasks"
_only_fields = {"id", "name", "last_update", "status", "completed", "tags"}
_update_field = "last_update"
metrics = attrib(default=None, type=str)
variant = attrib(default=None, type=str)
threshold = attrib(default=None, type=float)
value_sign = attrib(default=None, type=str)
exclude_dev = attrib(default=None, type=bool)
on_status = attrib(type=str, default=None)
def build_query(self, ref_time):
query = super(TaskTrigger, self).build_query(ref_time)
if self.exclude_dev:
system_tags = list(set(query.get('system_tags', []) + ['-development']))
query.update({'system_tags': system_tags})
if self.on_status:
query.update({'status': self.on_status})
if self.metrics and self.variant and self.threshold:
metrics, title, series, values = ClearmlJob.get_metric_req_params(self.metrics, self.variant)
sign_max = (self.value_sign or '').lower() in ('max', 'maximum')
filter_key = "last_metrics.{}.{}.{}".format(title, series, "max_value" if sign_max else "min_value")
filter_value = [self.threshold, None] if sign_max else [None, self.threshold]
query.update({filter_key: filter_value})
return query
def verify(self):
# type () -> None
super(TaskTrigger, self).verify()
if (self.metrics or self.variant or self.threshold is not None) and \
not (self.metrics and self.variant and self.threshold is not None):
raise ValueError("You must provide metric/variant/threshold")
valid_status = [str(s) for s in Task.TaskStatusEnum]
if self.on_status and not all(s in valid_status for s in self.on_status):
raise ValueError("You on_status contains invalid status value: {}".format(self.on_status))
valid_signs = ['min', 'minimum', 'max', 'maximum']
if self.value_sign and self.value_sign not in valid_signs:
raise ValueError("Invalid value_sign `{}`, valid options are: {}".format(self.value_sign, valid_signs))
@attrs
class ExecutedTrigger(ExecutedJob):
trigger = attrib(type=str, default=None)
class TriggerScheduler(BaseScheduler):
"""
Trigger Task execution if an event happens in the system
Examples:
New model is published/tagged,
New Dataset is created,
General Task failed,
Task metric below/above threshold, alert every X minutes
"""
_datasets_section = "datasets"
_models_section = "models"
_tasks_section = "tasks"
_state_section = "state"
def __init__(
self,
pooling_frequency_minutes=3.0,
sync_frequency_minutes=15,
force_create_task_name=None,
force_create_task_project=None
):
# type: (float, float, Optional[str], Optional[str]) -> None
"""
Create a Task trigger service
:param pooling_frequency_minutes: Check for new events every X minutes (default 2)
:param sync_frequency_minutes: Sync task scheduler configuration every X minutes.
Allow to change scheduler in runtime by editing the Task configuration object
:param force_create_task_name: Optional, force creation of Task Scheduler service,
even if main Task.init already exists.
:param force_create_task_project: Optional, force creation of Task Scheduler service,
even if main Task.init already exists.
"""
super(TriggerScheduler, self).__init__(
sync_frequency_minutes=sync_frequency_minutes,
force_create_task_name=force_create_task_name,
force_create_task_project=force_create_task_project,
pooling_frequency_minutes=pooling_frequency_minutes,
)
self._task_triggers = []
self._dataset_triggers = []
self._model_triggers = []
self._executed_triggers = []
self._client = None
def add_model_trigger(
self,
schedule_task_id=None, # type(Union[str, Task])
schedule_queue=None, # type(str)
schedule_function=None, # type(Callable)
trigger_project=None, # type(str)
trigger_name=None, # type(Optional[str])
trigger_on_publish=None, # type(bool)
trigger_on_tags=None, # type(Optional[List[str]])
trigger_on_archive=None, # type(bool)
trigger_required_tags=None, # type(Optional[List[str]])
name=None, # type(Optional[str])
target_project=None, # type(Optional[str])
add_tag=True, # type(Union[bool, str])
single_instance=False, # type(bool)
reuse_task=False, # type(bool)
task_parameters=None, # type(Optional[dict])
task_overrides=None, # type(Optional[dict])
):
# type(...) -> bool
"""
Create a cron job alike scheduling for a pre existing Task or function.
Trigger the Task/function execution on changes in the model repository
Notice it is recommended to give the trigger a descriptive unique name, if not provided a task ID is used.
Notice `task_overrides` can except reference to the trigger model ID:
example: task_overrides={'Args/model_id': '${model.id}'}
Notice if schedule_function is passed, use the following function interface:
```py
def schedule_function(model_id):
pass
```
:param schedule_task_id: Task/task ID to be cloned and scheduled for execution
:param schedule_queue: Queue name or ID to put the Task into (i.e. schedule)
:param schedule_function: Optional, instead of providing Task ID to be scheduled,
provide a function to be called. Notice the function is called from the scheduler context
(i.e. running on the same machine as the scheduler)
:param name: Name or description for the cron Task (should be unique if provided otherwise randomly generated)
:param trigger_project: Only monitor models from this specific project (not recursive)
:param trigger_name: Trigger only on models with name matching (regexp)
:param trigger_on_publish: Trigger when model is published.
:param trigger_on_tags: Trigger when all tags in the list are present
:param trigger_on_archive: Trigger when model is archived
:param trigger_required_tags: Trigger only on models with the following additional tags (must include all tags)
:param target_project: Specify target project to put the cloned scheduled Task in.
:param add_tag: Add tag to the executed Task. Provide specific tag (str) or
pass True (default) to use the trigger name as tag
:param single_instance: If True, do not launch the Task job if the previous instance is still running
(skip until the next scheduled time period). Default False.
:param reuse_task: If True, re-enqueue the same Task (i.e. do not clone it) every time, default False.
:param task_parameters: Configuration parameters to the executed Task.
for example: {'Args/batch': '12'} Notice: not available when reuse_task=True/
:param task_overrides: Change task definition.
for example {'script.version_num': None, 'script.branch': 'main'} Notice: not available when reuse_task=True
:return: True if job is successfully added to the scheduling list
"""
trigger = ModelTrigger(
base_task_id=schedule_task_id,
base_function=schedule_function,
queue=schedule_queue,
name=name,
target_project=target_project,
single_instance=single_instance,
task_parameters=task_parameters,
task_overrides=task_overrides,
add_tag=(add_tag if isinstance(add_tag, str) else (name or schedule_task_id)) if add_tag else None,
clone_task=not bool(reuse_task),
match_name=trigger_name,
project=Task.get_project_id(trigger_project) if trigger_project else None,
tags=trigger_on_tags,
required_tags=trigger_required_tags,
on_publish=trigger_on_publish,
on_archive=trigger_on_archive,
)
trigger.verify()
self._model_triggers.append(trigger)
def add_dataset_trigger(
self,
schedule_task_id=None, # type(Union[str, Task])
schedule_queue=None, # type(str)
schedule_function=None, # type(Callable)
trigger_project=None, # type(str)
trigger_name=None, # type(Optional[str])
trigger_on_publish=None, # type(bool)
trigger_on_tags=None, # type(Optional[List[str]])
trigger_on_archive=None, # type(bool)
trigger_required_tags=None, # type(Optional[List[str]])
name=None, # type(Optional[str])
target_project=None, # type(Optional[str])
add_tag=True, # type(Union[bool, str])
single_instance=False, # type(bool)
reuse_task=False, # type(bool)
task_parameters=None, # type(Optional[dict])
task_overrides=None, # type(Optional[dict])
):
# type(...) -> bool
"""
Create a cron job alike scheduling for a pre existing Task or function.
Trigger the Task/function execution on changes in the dataset repository (notice this is not the hyper-datasets)
Notice it is recommended to give the trigger a descriptive unique name, if not provided a task ID is used.
Notice `task_overrides` can except reference to the trigger model ID:
example: task_overrides={'Args/dataset_id': '${dataset.id}'}
Notice if schedule_function is passed, use the following function interface:
```py
def schedule_function(dataset_id):
pass
```
:param schedule_task_id: Task/task ID to be cloned and scheduled for execution
:param schedule_queue: Queue name or ID to put the Task into (i.e. schedule)
:param schedule_function: Optional, instead of providing Task ID to be scheduled,
provide a function to be called. Notice the function is called from the scheduler context
(i.e. running on the same machine as the scheduler)
:param name: Name or description for the cron Task (should be unique if provided otherwise randomly generated)
:param trigger_project: Only monitor datasets from this specific project (not recursive)
:param trigger_name: Trigger only on datasets with name matching (regexp)
:param trigger_on_publish: Trigger when dataset is published.
:param trigger_on_tags: Trigger when all tags in the list are present
:param trigger_on_archive: Trigger when dataset is archived
:param trigger_required_tags: Trigger only on datasets with the
following additional tags (must include all tags)
:param target_project: Specify target project to put the cloned scheduled Task in.
:param add_tag: Add tag to the executed Task. Provide specific tag (str) or
pass True (default) to use the trigger name as tag
:param single_instance: If True, do not launch the Task job if the previous instance is still running
(skip until the next scheduled time period). Default False.
:param reuse_task: If True, re-enqueue the same Task (i.e. do not clone it) every time, default False.
:param task_parameters: Configuration parameters to the executed Task.
for example: {'Args/batch': '12'} Notice: not available when reuse_task=True/
:param task_overrides: Change task definition.
for example {'script.version_num': None, 'script.branch': 'main'} Notice: not available when reuse_task=True
:return: True if job is successfully added to the scheduling list
"""
trigger = DatasetTrigger(
base_task_id=schedule_task_id,
base_function=schedule_function,
queue=schedule_queue,
name=name,
target_project=target_project,
single_instance=single_instance,
task_parameters=task_parameters,
task_overrides=task_overrides,
add_tag=(add_tag if isinstance(add_tag, str) else (name or schedule_task_id)) if add_tag else None,
clone_task=not bool(reuse_task),
match_name=trigger_name,
project=Task.get_project_id(trigger_project) if trigger_project else None,
tags=trigger_on_tags,
required_tags=trigger_required_tags,
on_publish=trigger_on_publish,
on_archive=trigger_on_archive,
)
trigger.verify()
self._dataset_triggers.append(trigger)
def add_task_trigger(
self,
schedule_task_id=None, # type(Union[str, Task])
schedule_queue=None, # type(str)
schedule_function=None, # type(Callable)
trigger_project=None, # type(str)
trigger_name=None, # type(Optional[str])
trigger_on_tags=None, # type(Optional[List[str]])
trigger_on_status=None, # type(Optional[List[str]])
trigger_exclude_dev_tasks=None, # type(Optional[bool])
trigger_on_metric=None, # type(Optional[str])
trigger_on_variant=None, # type(Optional[str])
trigger_on_threshold=None, # type(Optional[str])
trigger_on_sign=None, # type(Optional[str])
trigger_required_tags=None, # type(Optional[List[str]])
name=None, # type(Optional[str])
target_project=None, # type(Optional[str])
add_tag=True, # type(Union[bool, str])
single_instance=False, # type(bool)
reuse_task=False, # type(bool)
task_parameters=None, # type(Optional[dict])
task_overrides=None, # type(Optional[dict])
):
# type(...) -> bool
"""
Create a cron job alike scheduling for a pre existing Task or function.
Trigger the Task/function execution on changes in the Task
Notice it is recommended to give the trigger a descriptive unique name, if not provided a task ID is used.
Notice `task_overrides` can except reference to the trigger model ID:
example: task_overrides={'Args/task_id': '${task.id}'}
Notice if schedule_function is passed, use the following function interface:
```py
def schedule_function(task_id):
pass
```
:param schedule_task_id: Task/task ID to be cloned and scheduled for execution
:param schedule_queue: Queue name or ID to put the Task into (i.e. schedule)
:param schedule_function: Optional, instead of providing Task ID to be scheduled,
provide a function to be called. Notice the function is called from the scheduler context
(i.e. running on the same machine as the scheduler)
:param name: Name or description for the cron Task (should be unique if provided otherwise randomly generated)
:param trigger_project: Only monitor tasks from this specific project (not recursive)
:param trigger_name: Trigger only on tasks with name matching (regexp)
:param trigger_on_tags: Trigger when all tags in the list are present
:param trigger_required_tags: Trigger only on tasks with the following additional tags (must include all tags)
:param trigger_on_status: Trigger on Task status change.
expect list of status strings, e.g. ['failed', 'published']
:param trigger_exclude_dev_tasks: If True only trigger on Tasks executed by clearml-agent (and not manually)
:param trigger_on_metric: Trigger on metric/variant above/under threshold (metric=title, variant=series)
:param trigger_on_variant: Trigger on metric/variant above/under threshold (metric=title, variant=series)
:param trigger_on_threshold: Trigger on metric/variant above/under threshold (float number)
:param trigger_on_sign: possible values "max"/"maximum" or "min"/"minimum",
trigger Task if metric below "min" or "above" maximum. Default: "minimum"
:param target_project: Specify target project to put the cloned scheduled Task in.
:param add_tag: Add tag to the executed Task. Provide specific tag (str) or
pass True (default) to use the trigger name as tag
:param single_instance: If True, do not launch the Task job if the previous instance is still running
(skip until the next scheduled time period). Default False.
:param reuse_task: If True, re-enqueue the same Task (i.e. do not clone it) every time, default False.
:param task_parameters: Configuration parameters to the executed Task.
for example: {'Args/batch': '12'} Notice: not available when reuse_task=True/
:param task_overrides: Change task definition.
for example {'script.version_num': None, 'script.branch': 'main'} Notice: not available when reuse_task=True
:return: True if job is successfully added to the scheduling list
"""
trigger = TaskTrigger(
base_task_id=schedule_task_id,
base_function=schedule_function,
queue=schedule_queue,
name=name,
target_project=target_project,
single_instance=single_instance,
task_parameters=task_parameters,
task_overrides=task_overrides,
add_tag=(add_tag if isinstance(add_tag, str) else (name or schedule_task_id)) if add_tag else None,
clone_task=not bool(reuse_task),
match_name=trigger_name,
project=Task.get_project_id(trigger_project) if trigger_project else None,
tags=trigger_on_tags,
required_tags=trigger_required_tags,
on_status=trigger_on_status,
exclude_dev=trigger_exclude_dev_tasks,
metrics=trigger_on_metric,
variant=trigger_on_variant,
threshold=trigger_on_threshold,
value_sign=trigger_on_sign
)
trigger.verify()
self._task_triggers.append(trigger)
def start(self):
"""
Start the Task trigger loop (notice this function does not return)
"""
super(TriggerScheduler, self).start()
def get_triggers(self):
# type: () -> List[BaseTrigger]
"""
Return all triggers (models, datasets, tasks)
:return: List of trigger objects
"""
return self._model_triggers + self._dataset_triggers + self._task_triggers
def _step(self):
if not self._client:
self._client = APIClient()
executed = False
for trigger in (self._model_triggers + self._dataset_triggers + self._task_triggers):
ref_time = datetime_from_isoformat(trigger.last_update or datetime.utcnow())
objects = []
try:
# noinspection PyProtectedMember
objects = getattr(self._client, trigger.get_key()).get_all(
_allow_extra_fields_=True,
only_fields=list(trigger._only_fields or []),
**trigger.build_query(ref_time)
)
trigger.last_update = max([o.last_update for o in objects] or [ref_time])
if not objects:
continue
except Exception as ex:
self._log("Exception occurred while checking trigger '{}' state: {}".format(trigger, ex))
executed |= bool(objects)
# actually handle trigger
for obj in objects:
# create a unique instance list
if not trigger._triggered_instances:
trigger._triggered_instances = {}
if obj.id in trigger._triggered_instances:
continue
trigger._triggered_instances[obj.id] = datetime.utcnow()
self._launch_job(trigger, obj.id)
return executed
# noinspection PyMethodOverriding
def _launch_job(self, job, trigger_id):
# type: (BaseTrigger, str) -> None
if job.base_task_id:
task_parameters = None
if job.task_parameters:
task_parameters = {
k: trigger_id if v == job._task_param else v # noqa
for k, v in job.task_parameters.items()
}
task_job = self._launch_job_task(
job,
task_parameters=task_parameters,
add_tags=job.add_tag or None,
)
if task_job:
self._executed_triggers.append(
ExecutedTrigger(
name=job.name,
task_id=task_job.task_id(),
started=datetime.utcnow(),
trigger=str(job.__class__.__name__))
)
if job.base_function:
thread_job = self._launch_job_function(job, func_args=(trigger_id, ))
if thread_job:
self._executed_triggers.append(
ExecutedTrigger(
name=job.name,
thread_id=str(thread_job.ident),
started=datetime.utcnow(),
trigger=str(job.__class__.__name__))
)
def _serialize(self):
# noinspection PyProtectedMember
self._task._set_configuration(
config_type='json',
description='Dataset trigger configuration',
config_text=json.dumps(
[j.to_dict() for j in self._dataset_triggers], default=datetime_to_isoformat),
name=self._datasets_section,
)
# noinspection PyProtectedMember
self._task._set_configuration(
config_type='json',
description='Model trigger configuration',
config_text=json.dumps(
[j.to_dict() for j in self._model_triggers], default=datetime_to_isoformat),
name=self._models_section,
)
# noinspection PyProtectedMember
self._task._set_configuration(
config_type='json',
description='Task trigger configuration',
config_text=json.dumps(
[j.to_dict() for j in self._task_triggers], default=datetime_to_isoformat),
name=self._tasks_section,
)
def _deserialize(self):
self._task.reload()
self._dataset_triggers = self.__deserialize_section(
section=self._datasets_section, trigger_class=DatasetTrigger, current_triggers=self._dataset_triggers)
self._model_triggers = self.__deserialize_section(
section=self._models_section, trigger_class=ModelTrigger, current_triggers=self._model_triggers)
self._task_triggers = self.__deserialize_section(
section=self._tasks_section, trigger_class=TaskTrigger, current_triggers=self._task_triggers)
def __deserialize_section(self, section, trigger_class, current_triggers):
# noinspection PyProtectedMember
json_str = self._task._get_configuration_text(name=section)
try:
return self.__deserialize_triggers(json.loads(json_str), trigger_class, current_triggers)
except Exception as ex:
self._log('Failed deserializing configuration: {}'.format(ex), level=logging.WARN)
return current_triggers
@staticmethod
def __deserialize_triggers(trigger_jobs, trigger_class, current_triggers):
# type (List[dict], TriggerCLass, List[BaseTrigger]) -> List[BaseTrigger]
trigger_jobs = [trigger_class().update(j) for j in trigger_jobs]
trigger_jobs = {j.name: j for j in trigger_jobs}
current_triggers = {j.name: j for j in current_triggers}
# select only valid jobs, and update the valid ones state from the current one
new_triggers = [
current_triggers[name].update(j) if name in current_triggers else j
for name, j in trigger_jobs.items()
]
# verify all jobs
for j in new_triggers:
j.verify()
return new_triggers
def _serialize_state(self):
json_str = json.dumps(
dict(
dataset_triggers=[j.to_dict(full=True) for j in self._dataset_triggers],
model_triggers=[j.to_dict(full=True) for j in self._model_triggers],
task_triggers=[j.to_dict(full=True) for j in self._task_triggers],
# pooling_frequency_minutes=self._pooling_frequency_minutes,
# sync_frequency_minutes=self._sync_frequency_minutes,
),
default=datetime_to_isoformat
)
self._task.upload_artifact(
name=self._state_section,
artifact_object=json_str,
preview='scheduler internal state'
)
def _deserialize_state(self):
# get artifact
self._task.reload()
artifact_object = self._task.artifacts.get(self._state_section)
if artifact_object is None:
return
state_json_str = artifact_object.get()
if state_json_str is None:
return
state_dict = json.loads(state_json_str)
self._dataset_triggers = self.__deserialize_triggers(
state_dict.get('dataset_triggers', []),
trigger_class=DatasetTrigger,
current_triggers=self._dataset_triggers
)
self._model_triggers = self.__deserialize_triggers(
state_dict.get('model_triggers', []),
trigger_class=ModelTrigger,
current_triggers=self._model_triggers
)
self._task_triggers = self.__deserialize_triggers(
state_dict.get('task_triggers', []),
trigger_class=TaskTrigger,
current_triggers=self._task_triggers
)
def _update_execution_plots(self):
# type: () -> None
if not self._task:
return
task_link_template = self._task.get_output_log_web_page() \
.replace('/{}/'.format(self._task.project), '/{project}/') \
.replace('/{}/'.format(self._task.id), '/{task}/')
# plot the already executed Tasks
executed_table = [['trigger', 'name', 'task id', 'started', 'finished']]
for executed_job in sorted(self._executed_triggers, key=lambda x: x.started, reverse=True):
if not executed_job.finished:
if executed_job.task_id:
t = Task.get_task(task_id=executed_job.task_id)
if t.status not in ('in_progress', 'queued'):
executed_job.finished = t.data.completed or datetime.utcnow()
elif executed_job.thread_id:
# noinspection PyBroadException
try:
a_thread = [t for t in enumerate_threads() if t.ident == executed_job.thread_id]
if not a_thread or not a_thread[0].is_alive():
executed_job.finished = datetime.utcnow()
except Exception:
pass
executed_table += [
[executed_job.trigger,
executed_job.name,
'<a href="{}">{}</a>'.format(task_link_template.format(
project='*', task=executed_job.task_id), executed_job.task_id)
if executed_job.task_id else 'function',
str(executed_job.started).split('.', 1)[0],
str(executed_job.finished).split('.', 1)[0]
]
]
# plot the schedule definition
self._task.get_logger().report_table(
title='Triggers Executed', series=' ', iteration=0,
table_plot=executed_table
)
self.__report_trigger_table(triggers=self._model_triggers, title='Model Triggers')
self.__report_trigger_table(triggers=self._dataset_triggers, title='Dataset Triggers')
self.__report_trigger_table(triggers=self._task_triggers, title='Task Triggers')
def __report_trigger_table(self, triggers, title):
if not triggers:
return
task_link_template = self._task.get_output_log_web_page() \
.replace('/{}/'.format(self._task.project), '/{project}/') \
.replace('/{}/'.format(self._task.id), '/{task}/')
columns = [k for k in BaseTrigger().__dict__.keys() if not k.startswith('_')]
columns += [k for k in triggers[0].__dict__.keys() if k not in columns and not k.startswith('_')]
column_task_id = columns.index('base_task_id')
scheduler_table = [columns]
for j in triggers:
j_dict = j.to_dict()
j_dict['base_function'] = "{}.{}".format(
getattr(j.base_function, '__module__', ''),
getattr(j.base_function, '__name__', '')
) if j.base_function else ''
if not j_dict.get('base_task_id'):
j_dict['clone_task'] = ''
row = [
str(j_dict.get(c)).split('.', 1)[0] if isinstance(j_dict.get(c), datetime) else str(j_dict.get(c) or '')
for c in columns
]
if row[column_task_id]:
row[column_task_id] = '<a href="{}">{}</a>'.format(
task_link_template.format(project='*', task=row[column_task_id]), row[column_task_id])
scheduler_table += [row]
self._task.get_logger().report_table(
title=title, series=' ', iteration=0,
table_plot=scheduler_table
)

View File

@ -160,4 +160,4 @@ def datetime_from_isoformat(o):
return None
if isinstance(o, datetime):
return o
return datetime.strptime(o, "%Y-%m-%dT%H:%M:%S.%f")
return datetime.strptime(o.split('+')[0], "%Y-%m-%dT%H:%M:%S.%f")

View File

@ -403,7 +403,8 @@ class Task(_Task):
raise UsageError(
"Current task already created "
"and requested {field} '{default}' does not match current {field} '{current}'. "
"If you wish to create additional tasks use `Task.create`".format(
"If you wish to create additional tasks use `Task.create`, "
"or close the current task with `task.close()` before calling `Task.init(...)`".format(
field=field,
default=default,
current=current,