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authentik/authentik/events/monitored_tasks.py
Jens Langhammer e18e681c2b events: dont store full backtrace in systemtask
Signed-off-by: Jens Langhammer <jens.langhammer@beryju.org>
2021-12-14 22:55:38 +01:00

207 lines
6.6 KiB
Python

"""Monitored tasks"""
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from timeit import default_timer
from typing import Any, Optional
from celery import Task
from django.core.cache import cache
from django.utils.translation import gettext_lazy as _
from prometheus_client import Gauge
from structlog.stdlib import get_logger
from authentik.events.models import Event, EventAction
from authentik.lib.utils.errors import exception_to_string
GAUGE_TASKS = Gauge(
"authentik_system_tasks",
"System tasks and their status",
["task_name", "task_uid", "status"],
)
LOGGER = get_logger()
class TaskResultStatus(Enum):
"""Possible states of tasks"""
SUCCESSFUL = 1
WARNING = 2
ERROR = 4
UNKNOWN = 8
@dataclass
class TaskResult:
"""Result of a task run, this class is created by the task itself
and used by self.set_status"""
status: TaskResultStatus
messages: list[str] = field(default_factory=list)
# Optional UID used in cache for tasks that run in different instances
uid: Optional[str] = field(default=None)
def with_error(self, exc: Exception) -> "TaskResult":
"""Since errors might not always be pickle-able, set the traceback"""
self.messages.append(str(exc))
return self
@dataclass
class TaskInfo:
"""Info about a task run"""
task_name: str
start_timestamp: float
finish_timestamp: float
finish_time: datetime
result: TaskResult
task_call_module: str
task_call_func: str
task_call_args: list[Any] = field(default_factory=list)
task_call_kwargs: dict[str, Any] = field(default_factory=dict)
task_description: Optional[str] = field(default=None)
@property
def html_name(self) -> list[str]:
"""Get task_name, but split on underscores, so we can join in the html template."""
return self.task_name.split("_")
@staticmethod
def all() -> dict[str, "TaskInfo"]:
"""Get all TaskInfo objects"""
return cache.get_many(cache.keys("task_*"))
@staticmethod
def by_name(name: str) -> Optional["TaskInfo"]:
"""Get TaskInfo Object by name"""
return cache.get(f"task_{name}", None)
def delete(self):
"""Delete task info from cache"""
return cache.delete(f"task_{self.task_name}")
def set_prom_metrics(self):
"""Update prometheus metrics"""
start = default_timer()
if hasattr(self, "start_timestamp"):
start = self.start_timestamp
try:
duration = max(self.finish_timestamp - start, 0)
except TypeError:
duration = 0
GAUGE_TASKS.labels(
task_name=self.task_name,
task_uid=self.result.uid or "",
status=self.result.status,
).set(duration)
def save(self, timeout_hours=6):
"""Save task into cache"""
key = f"task_{self.task_name}"
if self.result.uid:
key += f"_{self.result.uid}"
self.task_name += f"_{self.result.uid}"
self.set_prom_metrics()
cache.set(key, self, timeout=timeout_hours * 60 * 60)
class MonitoredTask(Task):
"""Task which can save its state to the cache"""
# For tasks that should only be listed if they failed, set this to False
save_on_success: bool
_result: Optional[TaskResult]
_uid: Optional[str]
def __init__(self, *args, **kwargs) -> None:
super().__init__(*args, **kwargs)
self.save_on_success = True
self._uid = None
self._result = None
self.result_timeout_hours = 6
self.start = default_timer()
def set_uid(self, uid: str):
"""Set UID, so in the case of an unexpected error its saved correctly"""
self._uid = uid
def set_status(self, result: TaskResult):
"""Set result for current run, will overwrite previous result."""
self._result = result
# pylint: disable=too-many-arguments
def after_return(self, status, retval, task_id, args: list[Any], kwargs: dict[str, Any], einfo):
if self._result:
if not self._result.uid:
self._result.uid = self._uid
if self.save_on_success:
TaskInfo(
task_name=self.__name__,
task_description=self.__doc__,
start_timestamp=self.start,
finish_timestamp=default_timer(),
finish_time=datetime.now(),
result=self._result,
task_call_module=self.__module__,
task_call_func=self.__name__,
task_call_args=args,
task_call_kwargs=kwargs,
).save(self.result_timeout_hours)
return super().after_return(status, retval, task_id, args, kwargs, einfo=einfo)
# pylint: disable=too-many-arguments
def on_failure(self, exc, task_id, args, kwargs, einfo):
if not self._result:
self._result = TaskResult(status=TaskResultStatus.ERROR, messages=[str(exc)])
if not self._result.uid:
self._result.uid = self._uid
TaskInfo(
task_name=self.__name__,
task_description=self.__doc__,
start_timestamp=self.start,
finish_timestamp=default_timer(),
finish_time=datetime.now(),
result=self._result,
task_call_module=self.__module__,
task_call_func=self.__name__,
task_call_args=args,
task_call_kwargs=kwargs,
).save(self.result_timeout_hours)
Event.new(
EventAction.SYSTEM_TASK_EXCEPTION,
message=(f"Task {self.__name__} encountered an error: {exception_to_string(exc)}"),
).save()
return super().on_failure(exc, task_id, args, kwargs, einfo=einfo)
def run(self, *args, **kwargs):
raise NotImplementedError
def prefill_task(func):
"""Ensure a task's details are always in cache, so it can always be triggered via API"""
status = TaskInfo.by_name(func.__name__)
if status:
return func
TaskInfo(
task_name=func.__name__,
task_description=func.__doc__,
result=TaskResult(TaskResultStatus.UNKNOWN, messages=[_("Task has not been run yet.")]),
task_call_module=func.__module__,
task_call_func=func.__name__,
# We don't have real values for these attributes but they cannot be null
start_timestamp=default_timer(),
finish_timestamp=default_timer(),
finish_time=datetime.now(),
).save(86400)
LOGGER.debug("prefilled task", task_name=func.__name__)
return func