This document describes the current stable version of Celery (5.6). For development docs, go here.

Source code for celery.app.trace

"""Trace task execution.

This module defines how the task execution is traced:
errors are recorded, handlers are applied and so on.
"""
import logging
import os
import sys
import time
from collections import namedtuple
from warnings import warn

from billiard.einfo import ExceptionInfo, ExceptionWithTraceback
from kombu.exceptions import EncodeError
from kombu.serialization import loads as loads_message
from kombu.serialization import prepare_accept_content
from kombu.utils.encoding import safe_repr, safe_str

from celery import current_app, group, signals, states
from celery._state import _task_stack
from celery.app.task import Context
from celery.app.task import Task as BaseTask
from celery.exceptions import BackendGetMetaError, Ignore, InvalidTaskError, Reject, Retry
from celery.result import AsyncResult
from celery.utils.log import get_logger
from celery.utils.nodenames import gethostname
from celery.utils.objects import mro_lookup
from celery.utils.saferepr import saferepr
from celery.utils.serialization import get_pickleable_etype, get_pickleable_exception, get_pickled_exception

# ## ---
# This is the heart of the worker, the inner loop so to speak.
# It used to be split up into nice little classes and methods,
# but in the end it only resulted in bad performance and horrible tracebacks,
# so instead we now use one closure per task class.

# pylint: disable=redefined-outer-name
# We cache globals and attribute lookups, so disable this warning.
# pylint: disable=broad-except
# We know what we're doing...


__all__ = (
    'TraceInfo', 'build_tracer', 'trace_task',
    'setup_worker_optimizations', 'reset_worker_optimizations',
)

from celery.worker.state import successful_requests

logger = get_logger(__name__)

#: Format string used to log task receipt.
LOG_RECEIVED = """\
Task %(name)s[%(id)s] received\
"""

#: Format string used to log task success.
LOG_SUCCESS = """\
Task %(name)s[%(id)s] succeeded in %(runtime)ss: %(return_value)s\
"""

#: Format string used to log task failure.
LOG_FAILURE = """\
Task %(name)s[%(id)s] %(description)s: %(exc)s\
"""

#: Format string used to log task internal error.
LOG_INTERNAL_ERROR = """\
Task %(name)s[%(id)s] %(description)s: %(exc)s\
"""

#: Format string used to log task ignored.
LOG_IGNORED = """\
Task %(name)s[%(id)s] %(description)s\
"""

#: Format string used to log task rejected.
LOG_REJECTED = """\
Task %(name)s[%(id)s] %(exc)s\
"""

#: Format string used to log task retry.
LOG_RETRY = """\
Task %(name)s[%(id)s] retry: %(exc)s\
"""

log_policy_t = namedtuple(
    'log_policy_t',
    ('format', 'description', 'severity', 'traceback', 'mail'),
)

log_policy_reject = log_policy_t(LOG_REJECTED, 'rejected', logging.WARN, 1, 1)
log_policy_ignore = log_policy_t(LOG_IGNORED, 'ignored', logging.INFO, 0, 0)
log_policy_internal = log_policy_t(
    LOG_INTERNAL_ERROR, 'INTERNAL ERROR', logging.CRITICAL, 1, 1,
)
log_policy_expected = log_policy_t(
    LOG_FAILURE, 'raised expected', logging.INFO, 0, 0,
)
log_policy_unexpected = log_policy_t(
    LOG_FAILURE, 'raised unexpected', logging.ERROR, 1, 1,
)

send_prerun = signals.task_prerun.send
send_postrun = signals.task_postrun.send
send_success = signals.task_success.send
STARTED = states.STARTED
SUCCESS = states.SUCCESS
IGNORED = states.IGNORED
REJECTED = states.REJECTED
RETRY = states.RETRY
FAILURE = states.FAILURE
EXCEPTION_STATES = states.EXCEPTION_STATES
IGNORE_STATES = frozenset({IGNORED, RETRY, REJECTED})

#: set by :func:`setup_worker_optimizations`
_localized = []
_patched = {}

trace_ok_t = namedtuple('trace_ok_t', ('retval', 'info', 'runtime', 'retstr'))


def info(fmt, context):
    """Log 'fmt % context' with severity 'INFO'.

    'context' is also passed in extra with key 'data' for custom handlers.
    """
    logger.info(fmt, context, extra={'data': context})


def task_has_custom(task, attr):
    """Return true if the task overrides ``attr``."""
    return mro_lookup(task.__class__, attr, stop={BaseTask, object},
                      monkey_patched=['celery.app.task'])


def get_log_policy(task, einfo, exc):
    if isinstance(exc, Reject):
        return log_policy_reject
    elif isinstance(exc, Ignore):
        return log_policy_ignore
    elif einfo.internal:
        return log_policy_internal
    else:
        if task.throws and isinstance(exc, task.throws):
            return log_policy_expected
        return log_policy_unexpected


def get_task_name(request, default):
    """Use 'shadow' in request for the task name if applicable."""
    # request.shadow could be None or an empty string.
    # If so, we should use default.
    return getattr(request, 'shadow', None) or default


def get_actual_ignore_result(task, req):
    """Return the effective ignore_result, with request overriding task.

    If req provides an explicit ignore_result, that value is used;
    otherwise task.ignore_result is returned.
    """
    if req is None:
        return task.ignore_result

    actual = getattr(req, 'ignore_result', None)

    # Context defines `ignore_result = False` at class level (see Context
    # in celery/app/task.py). getattr() above would return the class default
    # (False) even when the request never set it explicitly, making it
    # impossible to distinguish "override=False" from "not set". We check
    # __dict__ to detect only instance-level (i.e., explicitly set) values.
    if isinstance(req, Context) and 'ignore_result' not in req.__dict__:
        actual = None

    return actual if actual is not None else task.ignore_result


[docs] class TraceInfo: """Information about task execution.""" __slots__ = ('state', 'retval') def __init__(self, state, retval=None): self.state = state self.retval = retval
[docs] def handle_error_state(self, task, req, eager=False, call_errbacks=True): ignore_result = get_actual_ignore_result(task, req) if ignore_result: store_errors = task.store_errors_even_if_ignored elif eager and task.store_eager_result: store_errors = True else: store_errors = not eager return { RETRY: self.handle_retry, FAILURE: self.handle_failure, }[self.state](task, req, store_errors=store_errors, call_errbacks=call_errbacks)
[docs] def handle_reject(self, task, req, **kwargs): self._log_error(task, req, ExceptionInfo())
[docs] def handle_ignore(self, task, req, **kwargs): self._log_error(task, req, ExceptionInfo())
[docs] def handle_retry(self, task, req, store_errors=True, **kwargs): """Handle retry exception.""" # the exception raised is the Retry semi-predicate, # and it's exc' attribute is the original exception raised (if any). type_, _, tb = sys.exc_info() einfo = None try: reason = self.retval einfo = ExceptionInfo((type_, reason, tb)) if store_errors: task.backend.mark_as_retry( req.id, reason.exc, einfo.traceback, request=req, ) task.on_retry(reason.exc, req.id, req.args, req.kwargs, einfo) signals.task_retry.send(sender=task, request=req, reason=reason, einfo=einfo) info(LOG_RETRY, { 'id': req.id, 'name': get_task_name(req, task.name), 'exc': str(reason), }) # MEMORY LEAK FIX: Clear traceback frames to prevent memory retention (Issue #8882) traceback_clear(einfo.exception) return einfo finally: # MEMORY LEAK FIX: Clean up direct traceback reference to prevent # retention of frame objects and their local variables (Issue #8882) if tb is not None: del tb
[docs] def handle_failure(self, task, req, store_errors=True, call_errbacks=True): """Handle exception.""" orig_exc = self.retval tb_ref = None try: exc = get_pickleable_exception(orig_exc) if exc.__traceback__ is None: # `get_pickleable_exception` may have created a new exception without # a traceback. _, _, tb_ref = sys.exc_info() exc.__traceback__ = tb_ref exc_type = get_pickleable_etype(type(orig_exc)) # make sure we only send pickleable exceptions back to parent. einfo = ExceptionInfo(exc_info=(exc_type, exc, exc.__traceback__)) task.backend.mark_as_failure( req.id, exc, einfo.traceback, request=req, store_result=store_errors, call_errbacks=call_errbacks, ) task.on_failure(exc, req.id, req.args, req.kwargs, einfo) signals.task_failure.send(sender=task, task_id=req.id, exception=exc, args=req.args, kwargs=req.kwargs, traceback=exc.__traceback__, einfo=einfo) self._log_error(task, req, einfo) # MEMORY LEAK FIX: Clear traceback frames to prevent memory retention (Issue #8882) traceback_clear(exc) # Note: We return einfo, so we can't clean it up here # The calling function is responsible for cleanup return einfo finally: # MEMORY LEAK FIX: Clean up any direct traceback references we may have created # to prevent retention of frame objects and their local variables (Issue #8882) if tb_ref is not None: del tb_ref
def _log_error(self, task, req, einfo): eobj = einfo.exception = get_pickled_exception(einfo.exception) if isinstance(eobj, ExceptionWithTraceback): eobj = einfo.exception = eobj.exc exception, traceback, exc_info, sargs, skwargs = ( safe_repr(eobj), safe_str(einfo.traceback), einfo.exc_info, req.get('argsrepr') or safe_repr(req.args), req.get('kwargsrepr') or safe_repr(req.kwargs), ) policy = get_log_policy(task, einfo, eobj) context = { 'hostname': req.hostname, 'id': req.id, 'name': get_task_name(req, task.name), 'exc': exception, 'traceback': traceback, 'args': sargs, 'kwargs': skwargs, 'description': policy.description, 'internal': einfo.internal, } logger.log(policy.severity, policy.format.strip(), context, exc_info=exc_info if policy.traceback else None, extra={'data': context})
def traceback_clear(exc=None): """Clear traceback frames to prevent memory leaks. MEMORY LEAK FIX: This function helps break reference cycles between traceback objects and frame objects that can prevent garbage collection. Clearing frames releases local variables that may be holding large objects. """ # Cleared Tb, but einfo still has a reference to Traceback. # exc cleans up the Traceback at the last moment that can be revealed. tb = None if exc is not None: if hasattr(exc, '__traceback__'): tb = exc.__traceback__ else: _, _, tb = sys.exc_info() else: _, _, tb = sys.exc_info() while tb is not None: try: # MEMORY LEAK FIX: tb.tb_frame.clear() clears ALL frame data including # local variables, which is more efficient than accessing f_locals separately. # Removed redundant tb.tb_frame.f_locals access that was creating unnecessary references. tb.tb_frame.clear() except RuntimeError: # Ignore the exception raised if the frame is still executing. pass tb = tb.tb_next
[docs] def build_tracer(name, task, loader=None, hostname=None, store_errors=True, Info=TraceInfo, eager=False, propagate=False, app=None, monotonic=time.monotonic, trace_ok_t=trace_ok_t, IGNORE_STATES=IGNORE_STATES): """Return a function that traces task execution. Catches all exceptions and updates result backend with the state and result. If the call was successful, it saves the result to the task result backend, and sets the task status to `"SUCCESS"`. If the call raises :exc:`~@Retry`, it extracts the original exception, uses that as the result and sets the task state to `"RETRY"`. If the call results in an exception, it saves the exception as the task result, and sets the task state to `"FAILURE"`. Return a function that takes the following arguments: :param uuid: The id of the task. :param args: List of positional args to pass on to the function. :param kwargs: Keyword arguments mapping to pass on to the function. :keyword request: Request dict. """ # pylint: disable=too-many-statements # If the task doesn't define a custom __call__ method # we optimize it away by simply calling the run method directly, # saving the extra method call and a line less in the stack trace. fun = task if task_has_custom(task, '__call__') else task.run loader = loader or app.loader deduplicate_successful_tasks = ((app.conf.task_acks_late or task.acks_late) and app.conf.worker_deduplicate_successful_tasks and app.backend.persistent) hostname = hostname or gethostname() inherit_parent_priority = app.conf.task_inherit_parent_priority loader_task_init = loader.on_task_init loader_cleanup = loader.on_process_cleanup task_before_start = None task_on_success = None task_after_return = None if task_has_custom(task, 'before_start'): task_before_start = task.before_start if task_has_custom(task, 'on_success'): task_on_success = task.on_success if task_has_custom(task, 'after_return'): task_after_return = task.after_return pid = os.getpid() request_stack = task.request_stack push_request = request_stack.push pop_request = request_stack.pop push_task = _task_stack.push pop_task = _task_stack.pop _does_info = logger.isEnabledFor(logging.INFO) resultrepr_maxsize = task.resultrepr_maxsize prerun_receivers = signals.task_prerun.receivers postrun_receivers = signals.task_postrun.receivers success_receivers = signals.task_success.receivers from celery import canvas signature = canvas.maybe_signature # maybe_ does not clone if already def on_error(request, exc, state=FAILURE, call_errbacks=True): if propagate: raise I = Info(state, exc) R = I.handle_error_state( task, request, eager=eager, call_errbacks=call_errbacks, ) return I, R, I.state, I.retval def _dispatch_callbacks_and_chain( retval, callbacks, chain, parent_id, root_id, priority, ): """Dispatch callbacks and chain for a completed task. Dispatches link callbacks and then the next chain step. Does NOT fire task lifecycle signals (on_success, task_postrun) or call mark_as_done — callers handle those separately. Note: dispatch is not atomic. If callbacks succeed but the chain step fails (or vice-versa), a Reject + redeliver may re-dispatch the already-sent callbacks. This is acceptable under Celery's at-least-once delivery model. """ if callbacks: if len(callbacks) > 1: sigs, groups = [], [] for sig in callbacks: sig = signature(sig, app=app) if isinstance(sig, group): groups.append(sig) else: sigs.append(sig) for group_ in groups: group_.apply_async( (retval,), parent_id=parent_id, root_id=root_id, priority=priority, ) if sigs: group(sigs, app=app).apply_async( (retval,), parent_id=parent_id, root_id=root_id, priority=priority, ) else: signature(callbacks[0], app=app).apply_async( (retval,), parent_id=parent_id, root_id=root_id, priority=priority, ) if chain: _chsig = signature(chain[-1], app=app) _chsig.apply_async( (retval,), chain=chain[:-1], parent_id=parent_id, root_id=root_id, priority=priority, ) def trace_task(uuid, args, kwargs, request=None): # R - is the possibly prepared return value. # I - is the Info object. # T - runtime # Rstr - textual representation of return value # retval - is the always unmodified return value. # state - is the resulting task state. # This function is very long because we've unrolled all the calls # for performance reasons, and because the function is so long # we want the main variables (I, and R) to stand out visually from the # the rest of the variables, so breaking PEP8 is worth it ;) R = I = T = Rstr = retval = state = None task_request = None time_start = monotonic() try: try: kwargs.items except AttributeError: raise InvalidTaskError( 'Task keyword arguments is not a mapping') task_request = Context(request or {}, args=args, called_directly=False, kwargs=kwargs) ignore_result = get_actual_ignore_result(task, task_request) track_started = not eager and (task.track_started and not ignore_result) # #6476 if eager and not ignore_result and task.store_eager_result: publish_result = True else: publish_result = not eager and not ignore_result redelivered = (task_request.delivery_info and task_request.delivery_info.get('redelivered', False)) if deduplicate_successful_tasks and redelivered: if task_request.id in successful_requests: return trace_ok_t(R, I, T, Rstr) r = AsyncResult(task_request.id, app=app) try: state = r.state except BackendGetMetaError: pass else: if state == SUCCESS: info(LOG_IGNORED, { 'id': task_request.id, 'name': get_task_name(task_request, name), 'description': 'Task already completed successfully.' }) _root_id = task_request.root_id or uuid _priority = task_request.delivery_info.get('priority') if \ inherit_parent_priority else None try: _meta = r._get_task_meta() stored_retval = _meta.get('result') # Children are populated by mark_as_done on the # original execution. If present, callbacks were # already dispatched — skip to avoid duplicates. # Requires the backend to persist extended result # metadata (result_extended=True). _children = _meta.get('children') _callbacks = task_request.callbacks _chain = task_request.chain if (_callbacks or _chain) and not _children: _dispatch_callbacks_and_chain( stored_retval, _callbacks, _chain, parent_id=uuid, root_id=_root_id, priority=_priority, ) successful_requests.add(task_request.id) except MemoryError: raise except Exception as exc: # Permanent failures (malformed signature, etc.) # will requeue indefinitely. Broker-level # dead-letter / max-delivery-count policies are # the intended circuit-breaker. logger.error( 'Failed to dispatch chain/callbacks for ' 'deduplicated task %s', task_request.id, exc_info=True, ) raise Reject(exc, requeue=True) return trace_ok_t(R, I, T, Rstr) push_task(task) root_id = task_request.root_id or uuid task_priority = task_request.delivery_info.get('priority') if \ inherit_parent_priority else None push_request(task_request) try: # -*- PRE -*- if prerun_receivers: send_prerun(sender=task, task_id=uuid, task=task, args=args, kwargs=kwargs) loader_task_init(uuid, task) if track_started: task.backend.store_result( uuid, {'pid': pid, 'hostname': hostname}, STARTED, request=task_request, ) # -*- TRACE -*- try: if task_before_start: task_before_start(uuid, args, kwargs) R = retval = fun(*args, **kwargs) state = SUCCESS except Reject as exc: I, R = Info(REJECTED, exc), ExceptionInfo(internal=True) state, retval = I.state, I.retval I.handle_reject(task, task_request) # MEMORY LEAK FIX: Clear traceback frames to prevent memory retention (Issue #8882) traceback_clear(exc) except Ignore as exc: I, R = Info(IGNORED, exc), ExceptionInfo(internal=True) state, retval = I.state, I.retval I.handle_ignore(task, task_request) # MEMORY LEAK FIX: Clear traceback frames to prevent memory retention (Issue #8882) traceback_clear(exc) except Retry as exc: I, R, state, retval = on_error( task_request, exc, RETRY, call_errbacks=False) # MEMORY LEAK FIX: Clear traceback frames to prevent memory retention (Issue #8882) traceback_clear(exc) except Exception as exc: I, R, state, retval = on_error(task_request, exc) # MEMORY LEAK FIX: Clear traceback frames to prevent memory retention (Issue #8882) traceback_clear(exc) except BaseException: raise else: try: # callback tasks must be applied before the result is # stored, so that result.children is populated. # groups are called inline and will store trail # separately, so need to call them separately # so that the trail's not added multiple times :( # (Issue #1936) _dispatch_callbacks_and_chain( retval, task.request.callbacks, task_request.chain, parent_id=uuid, root_id=root_id, priority=task_priority, ) task.backend.mark_as_done( uuid, retval, task_request, publish_result, ) except EncodeError as exc: I, R, state, retval = on_error(task_request, exc) # MEMORY LEAK FIX: Clear traceback frames to prevent memory retention (Issue #8882) traceback_clear(exc) else: Rstr = saferepr(R, resultrepr_maxsize) T = monotonic() - time_start if task_on_success: task_on_success(retval, uuid, args, kwargs) if success_receivers: send_success(sender=task, result=retval) if _does_info: info(LOG_SUCCESS, { 'id': uuid, 'name': get_task_name(task_request, name), 'return_value': Rstr, 'runtime': T, 'args': task_request.get('argsrepr') or safe_repr(args), 'kwargs': task_request.get('kwargsrepr') or safe_repr(kwargs), }) # -* POST *- if state not in IGNORE_STATES: if task_after_return: task_after_return( state, retval, uuid, args, kwargs, None, ) finally: try: if postrun_receivers: send_postrun(sender=task, task_id=uuid, task=task, args=args, kwargs=kwargs, retval=retval, state=state) finally: pop_task() pop_request() if not eager: try: task.backend.process_cleanup() loader_cleanup() except (KeyboardInterrupt, SystemExit, MemoryError): raise except Exception as exc: logger.error('Process cleanup failed: %r', exc, exc_info=True) except MemoryError: raise except Reject: raise except Exception as exc: _signal_internal_error(task, uuid, args, kwargs, request, exc) if eager: raise R = report_internal_error(task, exc) if task_request is not None: I, _, _, _ = on_error(task_request, exc) return trace_ok_t(R, I, T, Rstr) return trace_task
[docs] def trace_task(task, uuid, args, kwargs, request=None, **opts): """Trace task execution.""" request = {} if not request else request try: if task.__trace__ is None: task.__trace__ = build_tracer(task.name, task, **opts) return task.__trace__(uuid, args, kwargs, request) except Reject: raise except Exception as exc: _signal_internal_error(task, uuid, args, kwargs, request, exc) return trace_ok_t(report_internal_error(task, exc), TraceInfo(FAILURE, exc), 0.0, None)
def _signal_internal_error(task, uuid, args, kwargs, request, exc): """Send a special `internal_error` signal to the app for outside body errors.""" tb = None einfo = None try: _, _, tb = sys.exc_info() einfo = ExceptionInfo() einfo.exception = get_pickleable_exception(einfo.exception) einfo.type = get_pickleable_etype(einfo.type) signals.task_internal_error.send( sender=task, task_id=uuid, args=args, kwargs=kwargs, request=request, exception=exc, traceback=tb, einfo=einfo, ) finally: # MEMORY LEAK FIX: Clean up local references to prevent memory leaks (Issue #8882) # Both 'tb' and 'einfo' can hold references to frame objects and their local variables. # Explicitly clearing these prevents reference cycles that block garbage collection. if tb is not None: del tb if einfo is not None: # Clear traceback frames to ensure consistent cleanup traceback_clear(einfo.exception) # Break potential reference cycles by deleting the einfo object del einfo def trace_task_ret(name, uuid, request, body, content_type, content_encoding, loads=loads_message, app=None, **extra_request): app = app or current_app._get_current_object() embed = None if content_type: accept = prepare_accept_content(app.conf.accept_content) args, kwargs, embed = loads( body, content_type, content_encoding, accept=accept, ) else: args, kwargs, embed = body hostname = gethostname() request.update({ 'args': args, 'kwargs': kwargs, 'hostname': hostname, 'is_eager': False, }, **embed or {}) R, I, T, Rstr = trace_task(app.tasks[name], uuid, args, kwargs, request, app=app) return (1, R, T) if I else (0, Rstr, T) def fast_trace_task(task, uuid, request, body, content_type, content_encoding, loads=loads_message, _loc=None, hostname=None, **_): _loc = _localized if not _loc else _loc embed = None tasks, accept, hostname = _loc if content_type: args, kwargs, embed = loads( body, content_type, content_encoding, accept=accept, ) else: args, kwargs, embed = body request.update({ 'args': args, 'kwargs': kwargs, 'hostname': hostname, 'is_eager': False, }, **embed or {}) R, I, T, Rstr = tasks[task].__trace__( uuid, args, kwargs, request, ) return (1, R, T) if I else (0, Rstr, T) def report_internal_error(task, exc): _type, _value, _tb = sys.exc_info() try: _value = task.backend.prepare_exception(exc, 'pickle') exc_info = ExceptionInfo((_type, _value, _tb), internal=True) warn(RuntimeWarning( 'Exception raised outside body: {!r}:\n{}'.format( exc, exc_info.traceback))) return exc_info finally: del _tb
[docs] def setup_worker_optimizations(app, hostname=None): """Setup worker related optimizations.""" hostname = hostname or gethostname() # make sure custom Task.__call__ methods that calls super # won't mess up the request/task stack. _install_stack_protection() # all new threads start without a current app, so if an app is not # passed on to the thread it will fall back to the "default app", # which then could be the wrong app. So for the worker # we set this to always return our app. This is a hack, # and means that only a single app can be used for workers # running in the same process. app.set_current() app.set_default() # evaluate all task classes by finalizing the app. app.finalize() # set fast shortcut to task registry _localized[:] = [ app._tasks, prepare_accept_content(app.conf.accept_content), hostname, ] app.use_fast_trace_task = True
[docs] def reset_worker_optimizations(app=current_app): """Reset previously configured optimizations.""" try: delattr(BaseTask, '_stackprotected') except AttributeError: pass try: BaseTask.__call__ = _patched.pop('BaseTask.__call__') except KeyError: pass app.use_fast_trace_task = False
def _install_stack_protection(): # Patches BaseTask.__call__ in the worker to handle the edge case # where people override it and also call super. # # - The worker optimizes away BaseTask.__call__ and instead # calls task.run directly. # - so with the addition of current_task and the request stack # BaseTask.__call__ now pushes to those stacks so that # they work when tasks are called directly. # # The worker only optimizes away __call__ in the case # where it hasn't been overridden, so the request/task stack # will blow if a custom task class defines __call__ and also # calls super(). if not getattr(BaseTask, '_stackprotected', False): _patched['BaseTask.__call__'] = orig = BaseTask.__call__ def __protected_call__(self, *args, **kwargs): stack = self.request_stack req = stack.top if req and not req._protected and \ len(stack) == 1 and not req.called_directly: req._protected = 1 return self.run(*args, **kwargs) return orig(self, *args, **kwargs) BaseTask.__call__ = __protected_call__ BaseTask._stackprotected = True