119 lines
3.4 KiB
Python
119 lines
3.4 KiB
Python
"""Monitored tasks"""
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from dataclasses import dataclass, field
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from datetime import datetime
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from enum import Enum
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from typing import Any, Dict, List, Optional
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from celery import Task
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from django.core.cache import cache
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class TaskResultStatus(Enum):
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"""Possible states of tasks"""
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SUCCESSFUL = 1
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WARNING = 2
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ERROR = 4
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@dataclass
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class TaskResult:
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"""Result of a task run, this class is created by the task itself
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and used by self.set_status"""
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status: TaskResultStatus
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messages: List[str] = field(default_factory=list)
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error: Optional[Exception] = field(default=None)
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# Optional UID used in cache for tasks that run in different instances
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uid: Optional[str] = field(default=None)
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@dataclass
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class TaskInfo:
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"""Info about a task run"""
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task_name: str
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finish_timestamp: datetime
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result: TaskResult
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task_call_module: str
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task_call_func: str
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task_call_args: List[Any] = field(default_factory=list)
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task_call_kwargs: Dict[str, Any] = field(default_factory=dict)
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task_description: Optional[str] = field(default=None)
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@staticmethod
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def all() -> Dict[str, "TaskInfo"]:
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"""Get all TaskInfo objects"""
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return cache.get_many(cache.keys("task_*"))
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@staticmethod
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def by_name(name: str) -> Optional["TaskInfo"]:
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"""Get TaskInfo Object by name"""
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return cache.get(f"task_{name}")
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def save(self):
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"""Save task into cache"""
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key = f"task_{self.task_name}"
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if self.result.uid:
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key += f"_{self.result.uid}"
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self.task_name += f"_{self.result.uid}"
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cache.set(key, self, timeout=6 * 60 * 60)
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class MonitoredTask(Task):
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"""Task which can save its state to the cache"""
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# For tasks that should only be listed if they failed, set this to False
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save_on_success: bool
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_result: TaskResult
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def __init__(self, *args, **kwargs) -> None:
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super().__init__(*args, **kwargs)
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self.save_on_success = True
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self._result = TaskResult(status=TaskResultStatus.ERROR, messages=[])
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def set_status(self, result: TaskResult):
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"""Set result for current run, will overwrite previous result."""
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self._result = result
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# pylint: disable=too-many-arguments
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def after_return(
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self, status, retval, task_id, args: List[Any], kwargs: Dict[str, Any], einfo
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):
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if self.save_on_success:
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TaskInfo(
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task_name=self.__name__,
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task_description=self.__doc__,
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finish_timestamp=datetime.now(),
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result=self._result,
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task_call_module=self.__module__,
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task_call_func=self.__name__,
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task_call_args=args,
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task_call_kwargs=kwargs,
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).save()
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return super().after_return(status, retval, task_id, args, kwargs, einfo=einfo)
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# pylint: disable=too-many-arguments
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def on_failure(self, exc, task_id, args, kwargs, einfo):
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TaskInfo(
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task_name=self.__name__,
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task_description=self.__doc__,
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finish_timestamp=datetime.now(),
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result=self._result,
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task_call_module=self.__module__,
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task_call_func=self.__name__,
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task_call_args=args,
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task_call_kwargs=kwargs,
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).save()
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return super().on_failure(exc, task_id, args, kwargs, einfo=einfo)
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def run(self, *args, **kwargs):
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raise NotImplementedError
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