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406 lines
13 KiB
Python
406 lines
13 KiB
Python
import importlib
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import inspect
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import times
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from uuid import uuid4
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try:
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from cPickle import loads, dumps, UnpicklingError
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except ImportError: # noqa
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from pickle import loads, dumps, UnpicklingError # noqa
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from .local import LocalStack
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from .connections import resolve_connection
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from .exceptions import UnpickleError, NoSuchJobError
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from rq.compat import text_type, decode_redis_hash, as_text
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def enum(name, *sequential, **named):
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values = dict(zip(sequential, range(len(sequential))), **named)
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return type(name, (), values)
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Status = enum('Status',
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QUEUED='queued', FINISHED='finished', FAILED='failed',
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STARTED='started')
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def unpickle(pickled_string):
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"""Unpickles a string, but raises a unified UnpickleError in case anything
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fails.
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This is a helper method to not have to deal with the fact that `loads()`
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potentially raises many types of exceptions (e.g. AttributeError,
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IndexError, TypeError, KeyError, etc.)
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"""
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try:
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obj = loads(pickled_string)
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except (Exception, UnpicklingError) as e:
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raise UnpickleError('Could not unpickle.', pickled_string, e)
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return obj
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def cancel_job(job_id, connection=None):
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"""Cancels the job with the given job ID, preventing execution. Discards
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any job info (i.e. it can't be requeued later).
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"""
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Job(job_id, connection=connection).cancel()
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def requeue_job(job_id, connection=None):
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"""Requeues the job with the given job ID. The job ID should refer to
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a failed job (i.e. it should be on the failed queue). If no such (failed)
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job exists, a NoSuchJobError is raised.
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"""
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from .queue import get_failed_queue
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fq = get_failed_queue(connection=connection)
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fq.requeue(job_id)
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def get_current_job():
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"""Returns the Job instance that is currently being executed. If this
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function is invoked from outside a job context, None is returned.
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"""
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job_id = _job_stack.top
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if job_id is None:
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return None
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return Job.fetch(job_id)
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class Job(object):
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"""A Job is just a convenient datastructure to pass around job (meta) data.
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"""
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# Job construction
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@classmethod
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def create(cls, func, args=None, kwargs=None, connection=None,
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result_ttl=None, status=None, description=None):
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"""Creates a new Job instance for the given function, arguments, and
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keyword arguments.
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"""
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if args is None:
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args = ()
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if kwargs is None:
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kwargs = {}
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assert isinstance(args, (tuple, list)), '%r is not a valid args list.' % (args,)
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assert isinstance(kwargs, dict), '%r is not a valid kwargs dict.' % (kwargs,)
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job = cls(connection=connection)
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if inspect.ismethod(func):
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job._instance = func.__self__
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job._func_name = func.__name__
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elif inspect.isfunction(func) or inspect.isbuiltin(func):
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job._func_name = '%s.%s' % (func.__module__, func.__name__)
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else: # we expect a string
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job._func_name = func
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job._args = args
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job._kwargs = kwargs
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job.description = description or job.get_call_string()
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job.result_ttl = result_ttl
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job._status = status
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return job
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@property
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def func_name(self):
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return self._func_name
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def _get_status(self):
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self._status = as_text(self.connection.hget(self.key, 'status'))
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return self._status
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def _set_status(self, status):
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self._status = status
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self.connection.hset(self.key, 'status', self._status)
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status = property(_get_status, _set_status)
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@property
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def is_finished(self):
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return self.status == Status.FINISHED
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@property
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def is_queued(self):
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return self.status == Status.QUEUED
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@property
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def is_failed(self):
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return self.status == Status.FAILED
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@property
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def is_started(self):
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return self.status == Status.STARTED
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@property
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def func(self):
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func_name = self.func_name
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if func_name is None:
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return None
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if self.instance:
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return getattr(self.instance, func_name)
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module_name, func_name = func_name.rsplit('.', 1)
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module = importlib.import_module(module_name)
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return getattr(module, func_name)
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@property
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def instance(self):
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return self._instance
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@property
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def args(self):
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return self._args
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@property
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def kwargs(self):
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return self._kwargs
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@classmethod
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def exists(cls, job_id, connection=None):
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"""Returns whether a job hash exists for the given job ID."""
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conn = resolve_connection(connection)
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return conn.exists(cls.key_for(job_id))
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@classmethod
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def fetch(cls, id, connection=None):
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"""Fetches a persisted job from its corresponding Redis key and
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instantiates it.
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"""
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job = cls(id, connection=connection)
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job.refresh()
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return job
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@classmethod
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def safe_fetch(cls, id, connection=None):
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"""Fetches a persisted job from its corresponding Redis key, but does
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not instantiate it, making it impossible to get UnpickleErrors.
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"""
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job = cls(id, connection=connection)
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job.refresh(safe=True)
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return job
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def __init__(self, id=None, connection=None):
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self.connection = resolve_connection(connection)
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self._id = id
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self.created_at = times.now()
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self._func_name = None
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self._instance = None
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self._args = None
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self._kwargs = None
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self.description = None
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self.origin = None
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self.enqueued_at = None
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self.ended_at = None
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self._result = None
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self.exc_info = None
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self.timeout = None
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self.result_ttl = None
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self._status = None
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self.meta = {}
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# Data access
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def get_id(self): # noqa
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"""The job ID for this job instance. Generates an ID lazily the
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first time the ID is requested.
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"""
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if self._id is None:
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self._id = text_type(uuid4())
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return self._id
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def set_id(self, value):
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"""Sets a job ID for the given job."""
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self._id = value
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id = property(get_id, set_id)
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@classmethod
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def key_for(cls, job_id):
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"""The Redis key that is used to store job hash under."""
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return b'rq:job:' + job_id.encode('utf-8')
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@property
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def key(self):
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"""The Redis key that is used to store job hash under."""
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return self.key_for(self.id)
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@property # noqa
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def job_tuple(self):
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"""Returns the job tuple that encodes the actual function call that
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this job represents."""
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return (self.func_name, self.instance, self.args, self.kwargs)
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@property
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def result(self):
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"""Returns the return value of the job.
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Initially, right after enqueueing a job, the return value will be
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None. But when the job has been executed, and had a return value or
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exception, this will return that value or exception.
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Note that, when the job has no return value (i.e. returns None), the
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ReadOnlyJob object is useless, as the result won't be written back to
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Redis.
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Also note that you cannot draw the conclusion that a job has _not_
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been executed when its return value is None, since return values
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written back to Redis will expire after a given amount of time (500
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seconds by default).
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"""
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if self._result is None:
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rv = self.connection.hget(self.key, 'result')
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if rv is not None:
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# cache the result
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self._result = loads(rv)
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return self._result
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"""Backwards-compatibility accessor property `return_value`."""
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return_value = result
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# Persistence
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def refresh(self, safe=False): # noqa
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"""Overwrite the current instance's properties with the values in the
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corresponding Redis key.
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Will raise a NoSuchJobError if no corresponding Redis key exists.
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"""
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key = self.key
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obj = decode_redis_hash(self.connection.hgetall(key))
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if len(obj) == 0:
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raise NoSuchJobError('No such job: %s' % (key,))
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def to_date(date_str):
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if date_str is None:
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return None
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else:
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return times.to_universal(as_text(date_str))
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try:
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self.data = obj['data']
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except KeyError:
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raise NoSuchJobError('Unexpected job format: {0}'.format(obj))
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try:
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self._func_name, self._instance, self._args, self._kwargs = unpickle(self.data)
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except UnpickleError:
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if not safe:
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raise
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self.created_at = to_date(as_text(obj.get('created_at')))
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self.origin = as_text(obj.get('origin'))
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self.description = as_text(obj.get('description'))
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self.enqueued_at = to_date(as_text(obj.get('enqueued_at')))
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self.ended_at = to_date(as_text(obj.get('ended_at')))
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self._result = unpickle(obj.get('result')) if obj.get('result') else None # noqa
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self.exc_info = obj.get('exc_info')
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self.timeout = int(obj.get('timeout')) if obj.get('timeout') else None
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self.result_ttl = int(obj.get('result_ttl')) if obj.get('result_ttl') else None # noqa
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self._status = as_text(obj.get('status') if obj.get('status') else None)
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self.meta = unpickle(obj.get('meta')) if obj.get('meta') else {}
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def dump(self):
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"""Returns a serialization of the current job instance"""
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obj = {}
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obj['created_at'] = times.format(self.created_at or times.now(), 'UTC')
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if self.func_name is not None:
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obj['data'] = dumps(self.job_tuple)
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if self.origin is not None:
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obj['origin'] = self.origin
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if self.description is not None:
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obj['description'] = self.description
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if self.enqueued_at is not None:
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obj['enqueued_at'] = times.format(self.enqueued_at, 'UTC')
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if self.ended_at is not None:
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obj['ended_at'] = times.format(self.ended_at, 'UTC')
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if self._result is not None:
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obj['result'] = dumps(self._result)
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if self.exc_info is not None:
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obj['exc_info'] = self.exc_info
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if self.timeout is not None:
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obj['timeout'] = self.timeout
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if self.result_ttl is not None:
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obj['result_ttl'] = self.result_ttl
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if self._status is not None:
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obj['status'] = self._status
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if self.meta:
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obj['meta'] = dumps(self.meta)
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return obj
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def save(self, pipeline=None):
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"""Persists the current job instance to its corresponding Redis key."""
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key = self.key
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connection = pipeline if pipeline is not None else self.connection
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connection.hmset(key, self.dump())
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def cancel(self):
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"""Cancels the given job, which will prevent the job from ever being
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ran (or inspected).
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This method merely exists as a high-level API call to cancel jobs
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without worrying about the internals required to implement job
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cancellation. Technically, this call is (currently) the same as just
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deleting the job hash.
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"""
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self.delete()
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def delete(self):
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"""Deletes the job hash from Redis."""
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self.connection.delete(self.key)
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# Job execution
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def perform(self): # noqa
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"""Invokes the job function with the job arguments."""
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_job_stack.push(self.id)
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try:
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self._result = self.func(*self.args, **self.kwargs)
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finally:
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assert self.id == _job_stack.pop()
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return self._result
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def get_ttl(self, default_ttl=None):
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"""Returns ttl for a job that determines how long a job and its result
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will be persisted. In the future, this method will also be responsible
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for determining ttl for repeated jobs.
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"""
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return default_ttl if self.result_ttl is None else self.result_ttl
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# Representation
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def get_call_string(self): # noqa
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"""Returns a string representation of the call, formatted as a regular
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Python function invocation statement.
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"""
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if self.func_name is None:
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return None
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arg_list = [repr(arg) for arg in self.args]
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arg_list += ['%s=%r' % (k, v) for k, v in self.kwargs.items()]
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args = ', '.join(arg_list)
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return '%s(%s)' % (self.func_name, args)
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def cleanup(self, ttl=None, pipeline=None):
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"""Prepare job for eventual deletion (if needed). This method is usually
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called after successful execution. How long we persist the job and its
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result depends on the value of result_ttl:
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- If result_ttl is 0, cleanup the job immediately.
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- If it's a positive number, set the job to expire in X seconds.
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- If result_ttl is negative, don't set an expiry to it (persist
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forever)
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"""
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if ttl == 0:
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self.cancel()
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elif ttl > 0:
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connection = pipeline if pipeline is not None else self.connection
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connection.expire(self.key, ttl)
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def __str__(self):
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return '<Job %s: %s>' % (self.id, self.description)
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# Job equality
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def __eq__(self, other): # noqa
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return self.id == other.id
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def __hash__(self):
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return hash(self.id)
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_job_stack = LocalStack()
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