mirror of
https://github.com/clearml/clearml
synced 2025-04-29 10:43:16 +00:00
Add Task trigger scheduler
Fix TaskScheduler executed instances
This commit is contained in:
allegroai
parent
7bb78c01bf
commit
8708967a5e
@ -3,7 +3,7 @@ import logging
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from datetime import datetime
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from threading import Thread, enumerate as enumerate_threads
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from time import sleep, time
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from typing import List, Union, Optional, Callable
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from typing import List, Union, Optional, Callable, Sequence
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from attr import attrs, attrib
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from dateutil.relativedelta import relativedelta
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@ -24,7 +24,7 @@ class BaseScheduleJob(object):
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task_parameters = attrib(type=dict, default={})
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task_overrides = attrib(type=dict, default={})
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clone_task = attrib(type=bool, default=True)
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_executed_instances = attrib(type=list, default=[])
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_executed_instances = attrib(type=list, default=None)
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def to_dict(self, full=False):
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return {k: v for k, v in self.__dict__.items()
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@ -53,6 +53,9 @@ class BaseScheduleJob(object):
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def run(self, task_id):
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# type (Optional[str]) -> datetime
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if task_id:
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# make sure we have a new instance
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if not self._executed_instances:
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self._executed_instances = []
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self._executed_instances.append(str(task_id))
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@ -230,8 +233,8 @@ class ScheduleJob(BaseScheduleJob):
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@attrs
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class ExecutedJob(object):
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name = attrib(type=str)
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started = attrib(type=datetime, converter=datetime_from_isoformat)
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name = attrib(type=str, default=None)
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started = attrib(type=datetime, converter=datetime_from_isoformat, default=None)
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finished = attrib(type=datetime, converter=datetime_from_isoformat, default=None)
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task_id = attrib(type=str, default=None)
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thread_id = attrib(type=str, default=None)
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@ -241,8 +244,14 @@ class ExecutedJob(object):
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class BaseScheduler(object):
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def __init__(self, sync_frequency_minutes=15, force_create_task_name=None, force_create_task_project=None):
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# type: (float, Optional[str], Optional[str]) -> None
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def __init__(
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self,
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sync_frequency_minutes=15,
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force_create_task_name=None,
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force_create_task_project=None,
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pooling_frequency_minutes=None
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):
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# type: (float, Optional[str], Optional[str], Optional[float]) -> None
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"""
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Create a Task scheduler service
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@ -254,6 +263,7 @@ class BaseScheduler(object):
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even if main Task.init already exists.
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"""
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self._last_sync = 0
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self._pooling_frequency_minutes = pooling_frequency_minutes
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self._sync_frequency_minutes = sync_frequency_minutes
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if force_create_task_name or not Task.current_task():
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self._task = Task.init(
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@ -297,6 +307,11 @@ class BaseScheduler(object):
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# rate control
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sleep(15)
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# sleep until the next pool (default None)
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if self._pooling_frequency_minutes:
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self._log("Sleeping until the next pool in {} minutes".format(self._pooling_frequency_minutes))
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sleep(self._pooling_frequency_minutes*60.)
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def start_remotely(self, queue='services'):
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# type: (str) -> None
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"""
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@ -360,8 +375,8 @@ class BaseScheduler(object):
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self._launch_job_task(job)
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self._launch_job_function(job)
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def _launch_job_task(self, job):
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# type: (BaseScheduleJob) -> Optional[ClearmlJob]
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def _launch_job_task(self, job, task_parameters=None, add_tags=None):
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# type: (BaseScheduleJob, Optional[dict], Optional[List[str]]) -> Optional[ClearmlJob]
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# make sure this is not a function job
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if job.base_function:
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return None
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@ -380,11 +395,12 @@ class BaseScheduler(object):
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# actually run the job
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task_job = ClearmlJob(
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base_task_id=job.base_task_id,
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parameter_override=job.task_parameters,
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parameter_override=task_parameters or job.task_parameters,
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task_overrides=job.task_overrides,
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disable_clone_task=not job.clone_task,
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allow_caching=False,
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target_project=job.target_project,
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tags=[add_tags] if add_tags and isinstance(add_tags, str) else add_tags,
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)
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self._log('Scheduling Job {}, Task {} on queue {}.'.format(
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job.name, task_job.task_id(), job.queue))
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@ -393,8 +409,8 @@ class BaseScheduler(object):
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job.run(task_job.task_id())
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return task_job
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def _launch_job_function(self, job):
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# type: (ScheduleJob) -> Optional[Thread]
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def _launch_job_function(self, job, func_args=None):
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# type: (BaseScheduleJob, Optional[Sequence]) -> Optional[Thread]
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# make sure this IS a function job
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if not job.base_function:
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return None
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@ -419,7 +435,7 @@ class BaseScheduler(object):
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self._log("Scheduling Job '{}', Task '{}' on background thread".format(
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job.name, job.base_function))
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t = Thread(target=job.base_function)
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t = Thread(target=job.base_function, args=func_args or ())
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t.start()
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# mark as run
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job.run(t.ident)
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@ -489,7 +505,8 @@ class TaskScheduler(BaseScheduler):
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# type(...) -> bool
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"""
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Create a cron job alike scheduling for a pre existing Task.
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Notice it is recommended to give the Task a descriptive name, if not provided a random UUID is used.
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Notice it is recommended to give the schedule entry a descriptive unique name,
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if not provided a task ID is used.
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Examples:
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Launch every 15 minutes
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@ -763,7 +780,7 @@ class TaskScheduler(BaseScheduler):
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# plot the schedule definition
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columns = [
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'name', 'base_task_id', 'next_run', 'target_project', 'queue',
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'name', 'base_task_id', 'base_function', 'next_run', 'target_project', 'queue',
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'minute', 'hour', 'day', 'month', 'year',
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'starting_time', 'execution_limit_hours', 'recurring',
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'single_instance', 'task_parameters', 'task_overrides', 'clone_task',
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@ -772,6 +789,14 @@ class TaskScheduler(BaseScheduler):
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for j in self._schedule_jobs:
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j_dict = j.to_dict()
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j_dict['next_run'] = j.next()
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j_dict['base_function'] = "{}.{}".format(
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getattr(j.base_function, '__module__', ''),
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getattr(j.base_function, '__name__', '')
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) if j.base_function else ''
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if not j_dict.get('base_task_id'):
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j_dict['clone_task'] = ''
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row = [
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str(j_dict.get(c)).split('.', 1)[0] if isinstance(j_dict.get(c), datetime) else str(j_dict.get(c) or '')
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for c in columns
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@ -802,7 +827,7 @@ class TaskScheduler(BaseScheduler):
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[executed_job.name,
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'<a href="{}">{}</a>'.format(task_link_template.format(
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project='*', task=executed_job.task_id), executed_job.task_id)
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if executed_job.task_id else '',
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if executed_job.task_id else 'function',
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str(executed_job.started).split('.', 1)[0], str(executed_job.finished).split('.', 1)[0]
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]
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]
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716
clearml/automation/trigger.py
Normal file
716
clearml/automation/trigger.py
Normal file
@ -0,0 +1,716 @@
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import json
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import logging
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from datetime import datetime
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from threading import enumerate as enumerate_threads
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from typing import List, Optional, Dict
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from attr import attrs, attrib
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from .job import ClearmlJob
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from .scheduler import BaseScheduleJob, BaseScheduler, ExecutedJob
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from ..task import Task
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from ..backend_api.session.client import APIClient
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from ..backend_interface.util import datetime_to_isoformat, datetime_from_isoformat
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@attrs
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class BaseTrigger(BaseScheduleJob):
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_only_fields = {"id", "name", "last_update", }
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_update_field = None
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project = attrib(default=None, type=str)
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match_name = attrib(default=None, type=str)
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tags = attrib(default=None, type=list) # type: List[str]
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required_tags = attrib(default=None, type=list) # type: List[str]
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add_tag = attrib(default=None, type=str)
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last_update = attrib(default=None, type=datetime, converter=datetime_from_isoformat)
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# remember the previous state of Ids answering the specific query
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# any new object.id returned that is not in the list, is a new event
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# we store a dict of {object_id: datetime}
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# allowing us to ignore repeating object updates triggering multiple times
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_triggered_instances = attrib(type=dict, default=None) # type: Dict[str, datetime]
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def build_query(self, ref_time):
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return {
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'name': self.match_name or None,
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'project': [self.project] if self.project else None,
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'tags': ((self.tags or []) + (self.required_tags or [])) or None,
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self._update_field: ">{}".format(ref_time.isoformat() if ref_time else self.last_update.isoformat())
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}
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def verify(self):
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# type () -> None
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super(BaseTrigger, self).verify()
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if self.tags and (not isinstance(self.tags, (list, tuple)) or
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not all(isinstance(s, str) for s in self.tags)):
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raise ValueError("Tags must be a list of strings: {}".format(self.tags))
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if self.required_tags and (not isinstance(self.required_tags, (list, tuple)) or
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not all(isinstance(s, str) for s in self.required_tags)):
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raise ValueError("Required tags must be a list of strings: {}".format(self.required_tags))
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if self.project and not isinstance(self.project, str):
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raise ValueError("Project must be a string: {}".format(self.project))
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if self.match_name and not isinstance(self.match_name, str):
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raise ValueError("Match name must be a string: {}".format(self.match_name))
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def get_key(self):
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return getattr(self, '_key', None)
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@attrs
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class ModelTrigger(BaseTrigger):
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_task_param = '${model.id}'
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_key = "models"
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_only_fields = {"id", "name", "last_update", "ready", "tags"}
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_update_field = "last_update"
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on_publish = attrib(type=bool, default=None)
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on_archive = attrib(type=bool, default=None)
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def build_query(self, ref_time):
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query = super(ModelTrigger, self).build_query(ref_time)
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if self.on_publish:
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query.update({'ready': True})
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if self.on_archive:
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system_tags = list(set(query.get('system_tags', []) + ['archived']))
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query.update({'system_tags': system_tags})
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return query
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@attrs
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class DatasetTrigger(BaseTrigger):
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_task_param = '${dataset.id}'
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_key = "tasks"
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_only_fields = {"id", "name", "last_update", "status", "completed", "tags"}
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_update_field = "last_update"
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on_publish = attrib(type=bool, default=None)
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on_archive = attrib(type=bool, default=None)
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def build_query(self, ref_time):
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query = super(DatasetTrigger, self).build_query(ref_time)
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if self.on_publish:
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query.update({'status': ['published']})
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if self.on_archive:
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system_tags = list(set(query.get('system_tags', []) + ['archived']))
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query.update({'system_tags': system_tags})
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return query
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@attrs
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class TaskTrigger(BaseTrigger):
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_task_param = '${task.id}'
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_key = "tasks"
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_only_fields = {"id", "name", "last_update", "status", "completed", "tags"}
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_update_field = "last_update"
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metrics = attrib(default=None, type=str)
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variant = attrib(default=None, type=str)
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threshold = attrib(default=None, type=float)
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value_sign = attrib(default=None, type=str)
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exclude_dev = attrib(default=None, type=bool)
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on_status = attrib(type=str, default=None)
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def build_query(self, ref_time):
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query = super(TaskTrigger, self).build_query(ref_time)
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if self.exclude_dev:
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system_tags = list(set(query.get('system_tags', []) + ['-development']))
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query.update({'system_tags': system_tags})
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if self.on_status:
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query.update({'status': self.on_status})
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if self.metrics and self.variant and self.threshold:
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metrics, title, series, values = ClearmlJob.get_metric_req_params(self.metrics, self.variant)
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sign_max = (self.value_sign or '').lower() in ('max', 'maximum')
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filter_key = "last_metrics.{}.{}.{}".format(title, series, "max_value" if sign_max else "min_value")
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filter_value = [self.threshold, None] if sign_max else [None, self.threshold]
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query.update({filter_key: filter_value})
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return query
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def verify(self):
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# type () -> None
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super(TaskTrigger, self).verify()
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if (self.metrics or self.variant or self.threshold is not None) and \
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not (self.metrics and self.variant and self.threshold is not None):
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raise ValueError("You must provide metric/variant/threshold")
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valid_status = [str(s) for s in Task.TaskStatusEnum]
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if self.on_status and not all(s in valid_status for s in self.on_status):
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raise ValueError("You on_status contains invalid status value: {}".format(self.on_status))
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valid_signs = ['min', 'minimum', 'max', 'maximum']
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if self.value_sign and self.value_sign not in valid_signs:
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raise ValueError("Invalid value_sign `{}`, valid options are: {}".format(self.value_sign, valid_signs))
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@attrs
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class ExecutedTrigger(ExecutedJob):
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trigger = attrib(type=str, default=None)
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class TriggerScheduler(BaseScheduler):
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"""
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Trigger Task execution if an event happens in the system
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Examples:
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New model is published/tagged,
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New Dataset is created,
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General Task failed,
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Task metric below/above threshold, alert every X minutes
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"""
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_datasets_section = "datasets"
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_models_section = "models"
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_tasks_section = "tasks"
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_state_section = "state"
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def __init__(
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self,
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pooling_frequency_minutes=3.0,
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sync_frequency_minutes=15,
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force_create_task_name=None,
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force_create_task_project=None
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):
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# type: (float, float, Optional[str], Optional[str]) -> None
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"""
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Create a Task trigger service
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:param pooling_frequency_minutes: Check for new events every X minutes (default 2)
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:param sync_frequency_minutes: Sync task scheduler configuration every X minutes.
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Allow to change scheduler in runtime by editing the Task configuration object
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:param force_create_task_name: Optional, force creation of Task Scheduler service,
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even if main Task.init already exists.
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:param force_create_task_project: Optional, force creation of Task Scheduler service,
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even if main Task.init already exists.
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"""
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super(TriggerScheduler, self).__init__(
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sync_frequency_minutes=sync_frequency_minutes,
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force_create_task_name=force_create_task_name,
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force_create_task_project=force_create_task_project,
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pooling_frequency_minutes=pooling_frequency_minutes,
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)
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self._task_triggers = []
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self._dataset_triggers = []
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self._model_triggers = []
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self._executed_triggers = []
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self._client = None
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def add_model_trigger(
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self,
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schedule_task_id=None, # type(Union[str, Task])
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schedule_queue=None, # type(str)
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schedule_function=None, # type(Callable)
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trigger_project=None, # type(str)
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trigger_name=None, # type(Optional[str])
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trigger_on_publish=None, # type(bool)
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trigger_on_tags=None, # type(Optional[List[str]])
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trigger_on_archive=None, # type(bool)
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trigger_required_tags=None, # type(Optional[List[str]])
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name=None, # type(Optional[str])
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target_project=None, # type(Optional[str])
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add_tag=True, # type(Union[bool, str])
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single_instance=False, # type(bool)
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reuse_task=False, # type(bool)
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task_parameters=None, # type(Optional[dict])
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task_overrides=None, # type(Optional[dict])
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):
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# type(...) -> bool
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"""
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Create a cron job alike scheduling for a pre existing Task or function.
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Trigger the Task/function execution on changes in the model repository
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Notice it is recommended to give the trigger a descriptive unique name, if not provided a task ID is used.
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Notice `task_overrides` can except reference to the trigger model ID:
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example: task_overrides={'Args/model_id': '${model.id}'}
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Notice if schedule_function is passed, use the following function interface:
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```py
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def schedule_function(model_id):
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pass
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```
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:param schedule_task_id: Task/task ID to be cloned and scheduled for execution
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:param schedule_queue: Queue name or ID to put the Task into (i.e. schedule)
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:param schedule_function: Optional, instead of providing Task ID to be scheduled,
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provide a function to be called. Notice the function is called from the scheduler context
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(i.e. running on the same machine as the scheduler)
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:param name: Name or description for the cron Task (should be unique if provided otherwise randomly generated)
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:param trigger_project: Only monitor models from this specific project (not recursive)
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:param trigger_name: Trigger only on models with name matching (regexp)
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:param trigger_on_publish: Trigger when model is published.
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:param trigger_on_tags: Trigger when all tags in the list are present
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:param trigger_on_archive: Trigger when model is archived
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:param trigger_required_tags: Trigger only on models with the following additional tags (must include all tags)
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:param target_project: Specify target project to put the cloned scheduled Task in.
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:param add_tag: Add tag to the executed Task. Provide specific tag (str) or
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pass True (default) to use the trigger name as tag
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:param single_instance: If True, do not launch the Task job if the previous instance is still running
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(skip until the next scheduled time period). Default False.
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: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
|
||||
)
|
||||
@ -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")
|
||||
|
||||
@ -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,
|
||||
|
||||
Loading…
Reference in New Issue
Block a user