You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

552 lines
18 KiB
Python

# -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import inspect
import warnings
from functools import partial
from uuid import uuid4
from rq.compat import as_text, decode_redis_hash, string_types, text_type
from .connections import resolve_connection
from .exceptions import NoSuchJobError, UnpickleError
from .local import LocalStack
from .utils import import_attribute, utcformat, utcnow, utcparse
try:
import cPickle as pickle
except ImportError: # noqa
import pickle
# Serialize pickle dumps using the highest pickle protocol (binary, default
# uses ascii)
dumps = partial(pickle.dumps, protocol=pickle.HIGHEST_PROTOCOL)
loads = pickle.loads
def enum(name, *sequential, **named):
values = dict(zip(sequential, range(len(sequential))), **named)
# NOTE: Yes, we *really* want to cast using str() here.
# On Python 2 type() requires a byte string (which is str() on Python 2).
# On Python 3 it does not matter, so we'll use str(), which acts as
# a no-op.
return type(str(name), (), values)
Status = enum('Status',
QUEUED='queued', FINISHED='finished', FAILED='failed',
STARTED='started')
# Sentinel value to mark that some of our lazily evaluated properties have not
# yet been evaluated.
UNEVALUATED = object()
def unpickle(pickled_string):
"""Unpickles a string, but raises a unified UnpickleError in case anything
fails.
This is a helper method to not have to deal with the fact that `loads()`
potentially raises many types of exceptions (e.g. AttributeError,
IndexError, TypeError, KeyError, etc.)
"""
try:
obj = loads(pickled_string)
except Exception as e:
raise UnpickleError('Could not unpickle.', pickled_string, e)
return obj
def cancel_job(job_id, connection=None):
"""Cancels the job with the given job ID, preventing execution. Discards
any job info (i.e. it can't be requeued later).
"""
Job(job_id, connection=connection).cancel()
def requeue_job(job_id, connection=None):
"""Requeues the job with the given job ID. The job ID should refer to
a failed job (i.e. it should be on the failed queue). If no such (failed)
job exists, a NoSuchJobError is raised.
"""
from .queue import get_failed_queue
fq = get_failed_queue(connection=connection)
fq.requeue(job_id)
def get_current_job(connection=None):
"""Returns the Job instance that is currently being executed. If this
function is invoked from outside a job context, None is returned.
"""
job_id = _job_stack.top
if job_id is None:
return None
return Job.fetch(job_id, connection=connection)
class Job(object):
"""A Job is just a convenient datastructure to pass around job (meta) data.
"""
# Job construction
@classmethod
def create(cls, func, args=None, kwargs=None, connection=None,
result_ttl=None, status=None, description=None, depends_on=None, timeout=None,
id=None):
"""Creates a new Job instance for the given function, arguments, and
keyword arguments.
"""
if args is None:
args = ()
if kwargs is None:
kwargs = {}
if not isinstance(args, (tuple, list)):
raise TypeError('{0!r} is not a valid args list.'.format(args))
if not isinstance(kwargs, dict):
raise TypeError('{0!r} is not a valid kwargs dict.'.format(kwargs))
job = cls(connection=connection)
if id is not None:
job.set_id(id)
# Set the core job tuple properties
job._instance = None
if inspect.ismethod(func):
job._instance = func.__self__
job._func_name = func.__name__
elif inspect.isfunction(func) or inspect.isbuiltin(func):
job._func_name = '%s.%s' % (func.__module__, func.__name__)
elif isinstance(func, string_types):
job._func_name = as_text(func)
elif not inspect.isclass(func) and hasattr(func, '__call__'): # a callable class instance
job._instance = func
job._func_name = '__call__'
else:
raise TypeError('Expected a callable or a string, but got: {}'.format(func))
job._args = args
job._kwargs = kwargs
# Extra meta data
job.description = description or job.get_call_string()
job.result_ttl = result_ttl
job.timeout = timeout
job._status = status
# dependency could be job instance or id
if depends_on is not None:
job._dependency_id = depends_on.id if isinstance(depends_on, Job) else depends_on
return job
def get_status(self):
self._status = as_text(self.connection.hget(self.key, 'status'))
return self._status
def _get_status(self):
warnings.warn(
"job.status is deprecated. Use job.get_status() instead",
DeprecationWarning
)
return self.get_status()
def set_status(self, status, pipeline=None):
self._status = status
connection = pipeline if pipeline is not None else self.connection
connection.hset(self.key, 'status', self._status)
def _set_status(self, status):
warnings.warn(
"job.status is deprecated. Use job.set_status() instead",
DeprecationWarning
)
self.set_status(status)
status = property(_get_status, _set_status)
@property
def is_finished(self):
return self.get_status() == Status.FINISHED
@property
def is_queued(self):
return self.get_status() == Status.QUEUED
@property
def is_failed(self):
return self.get_status() == Status.FAILED
@property
def is_started(self):
return self.get_status() == Status.STARTED
@property
def dependency(self):
"""Returns a job's dependency. To avoid repeated Redis fetches, we cache
job.dependency as job._dependency.
"""
if self._dependency_id is None:
return None
if hasattr(self, '_dependency'):
return self._dependency
job = Job.fetch(self._dependency_id, connection=self.connection)
job.refresh()
self._dependency = job
return job
@property
def func(self):
func_name = self.func_name
if func_name is None:
return None
if self.instance:
return getattr(self.instance, func_name)
return import_attribute(self.func_name)
def _unpickle_data(self):
self._func_name, self._instance, self._args, self._kwargs = unpickle(self.data)
@property
def data(self):
if self._data is UNEVALUATED:
if self._func_name is UNEVALUATED:
raise ValueError('Cannot build the job data.')
if self._instance is UNEVALUATED:
self._instance = None
if self._args is UNEVALUATED:
self._args = ()
if self._kwargs is UNEVALUATED:
self._kwargs = {}
job_tuple = self._func_name, self._instance, self._args, self._kwargs
self._data = dumps(job_tuple)
return self._data
@data.setter
def data(self, value):
self._data = value
self._func_name = UNEVALUATED
self._instance = UNEVALUATED
self._args = UNEVALUATED
self._kwargs = UNEVALUATED
@property
def func_name(self):
if self._func_name is UNEVALUATED:
self._unpickle_data()
return self._func_name
@func_name.setter
def func_name(self, value):
self._func_name = value
self._data = UNEVALUATED
@property
def instance(self):
if self._instance is UNEVALUATED:
self._unpickle_data()
return self._instance
@instance.setter
def instance(self, value):
self._instance = value
self._data = UNEVALUATED
@property
def args(self):
if self._args is UNEVALUATED:
self._unpickle_data()
return self._args
@args.setter
def args(self, value):
self._args = value
self._data = UNEVALUATED
@property
def kwargs(self):
if self._kwargs is UNEVALUATED:
self._unpickle_data()
return self._kwargs
@kwargs.setter
def kwargs(self, value):
self._kwargs = value
self._data = UNEVALUATED
@classmethod
def exists(cls, job_id, connection=None):
"""Returns whether a job hash exists for the given job ID."""
conn = resolve_connection(connection)
return conn.exists(cls.key_for(job_id))
@classmethod
def fetch(cls, id, connection=None):
"""Fetches a persisted job from its corresponding Redis key and
instantiates it.
"""
job = cls(id, connection=connection)
job.refresh()
return job
def __init__(self, id=None, connection=None):
self.connection = resolve_connection(connection)
self._id = id
self.created_at = utcnow()
self._data = UNEVALUATED
self._func_name = UNEVALUATED
self._instance = UNEVALUATED
self._args = UNEVALUATED
self._kwargs = UNEVALUATED
self.description = None
self.origin = None
self.enqueued_at = None
self.ended_at = None
self._result = None
self.exc_info = None
self.timeout = None
self.result_ttl = None
self._status = None
self._dependency_id = None
self.meta = {}
def __repr__(self): # noqa
return 'Job(%r, enqueued_at=%r)' % (self._id, self.enqueued_at)
# Data access
def get_id(self): # noqa
"""The job ID for this job instance. Generates an ID lazily the
first time the ID is requested.
"""
if self._id is None:
self._id = text_type(uuid4())
return self._id
def set_id(self, value):
"""Sets a job ID for the given job."""
if not isinstance(value, string_types):
raise TypeError('id must be a string, not {0}.'.format(type(value)))
self._id = value
id = property(get_id, set_id)
@classmethod
def key_for(cls, job_id):
"""The Redis key that is used to store job hash under."""
return b'rq:job:' + job_id.encode('utf-8')
@classmethod
def dependents_key_for(cls, job_id):
"""The Redis key that is used to store job hash under."""
return 'rq:job:%s:dependents' % (job_id,)
@property
def key(self):
"""The Redis key that is used to store job hash under."""
return self.key_for(self.id)
@property
def dependents_key(self):
"""The Redis key that is used to store job hash under."""
return self.dependents_key_for(self.id)
@property
def result(self):
"""Returns the return value of the job.
Initially, right after enqueueing a job, the return value will be
None. But when the job has been executed, and had a return value or
exception, this will return that value or exception.
Note that, when the job has no return value (i.e. returns None), the
ReadOnlyJob object is useless, as the result won't be written back to
Redis.
Also note that you cannot draw the conclusion that a job has _not_
been executed when its return value is None, since return values
written back to Redis will expire after a given amount of time (500
seconds by default).
"""
if self._result is None:
rv = self.connection.hget(self.key, 'result')
if rv is not None:
# cache the result
self._result = loads(rv)
return self._result
"""Backwards-compatibility accessor property `return_value`."""
return_value = result
# Persistence
def refresh(self): # noqa
"""Overwrite the current instance's properties with the values in the
corresponding Redis key.
Will raise a NoSuchJobError if no corresponding Redis key exists.
"""
key = self.key
obj = decode_redis_hash(self.connection.hgetall(key))
if len(obj) == 0:
raise NoSuchJobError('No such job: %s' % (key,))
def to_date(date_str):
if date_str is None:
return
else:
return utcparse(as_text(date_str))
try:
self.data = obj['data']
except KeyError:
raise NoSuchJobError('Unexpected job format: {0}'.format(obj))
self.created_at = to_date(as_text(obj.get('created_at')))
self.origin = as_text(obj.get('origin'))
self.description = as_text(obj.get('description'))
self.enqueued_at = to_date(as_text(obj.get('enqueued_at')))
self.ended_at = to_date(as_text(obj.get('ended_at')))
self._result = unpickle(obj.get('result')) if obj.get('result') else None # noqa
self.exc_info = obj.get('exc_info')
self.timeout = int(obj.get('timeout')) if obj.get('timeout') else None
self.result_ttl = int(obj.get('result_ttl')) if obj.get('result_ttl') else None # noqa
self._status = as_text(obj.get('status') if obj.get('status') else None)
self._dependency_id = as_text(obj.get('dependency_id', None))
self.meta = unpickle(obj.get('meta')) if obj.get('meta') else {}
def to_dict(self):
"""Returns a serialization of the current job instance"""
obj = {}
obj['created_at'] = utcformat(self.created_at or utcnow())
obj['data'] = self.data
if self.origin is not None:
obj['origin'] = self.origin
if self.description is not None:
obj['description'] = self.description
if self.enqueued_at is not None:
obj['enqueued_at'] = utcformat(self.enqueued_at)
if self.ended_at is not None:
obj['ended_at'] = utcformat(self.ended_at)
if self._result is not None:
obj['result'] = dumps(self._result)
if self.exc_info is not None:
obj['exc_info'] = self.exc_info
if self.timeout is not None:
obj['timeout'] = self.timeout
if self.result_ttl is not None:
obj['result_ttl'] = self.result_ttl
if self._status is not None:
obj['status'] = self._status
if self._dependency_id is not None:
obj['dependency_id'] = self._dependency_id
if self.meta:
obj['meta'] = dumps(self.meta)
return obj
def save(self, pipeline=None):
"""Persists the current job instance to its corresponding Redis key."""
key = self.key
connection = pipeline if pipeline is not None else self.connection
connection.hmset(key, self.to_dict())
def cancel(self):
"""Cancels the given job, which will prevent the job from ever being
ran (or inspected).
This method merely exists as a high-level API call to cancel jobs
without worrying about the internals required to implement job
cancellation. Technically, this call is (currently) the same as just
deleting the job hash.
"""
from .queue import Queue
pipeline = self.connection._pipeline()
self.delete(pipeline=pipeline)
pipeline.delete(self.dependents_key)
if self.origin:
queue = Queue(name=self.origin, connection=self.connection)
queue.remove(self, pipeline=pipeline)
pipeline.execute()
def delete(self, pipeline=None):
"""Deletes the job hash from Redis."""
connection = pipeline if pipeline is not None else self.connection
connection.delete(self.key)
# Job execution
def perform(self): # noqa
"""Invokes the job function with the job arguments."""
_job_stack.push(self.id)
try:
self._result = self.func(*self.args, **self.kwargs)
finally:
assert self.id == _job_stack.pop()
return self._result
def get_ttl(self, default_ttl=None):
"""Returns ttl for a job that determines how long a job and its result
will be persisted. In the future, this method will also be responsible
for determining ttl for repeated jobs.
"""
return default_ttl if self.result_ttl is None else self.result_ttl
# Representation
def get_call_string(self): # noqa
"""Returns a string representation of the call, formatted as a regular
Python function invocation statement.
"""
if self.func_name is None:
return None
arg_list = [repr(arg) for arg in self.args]
arg_list += ['%s=%r' % (k, v) for k, v in self.kwargs.items()]
args = ', '.join(arg_list)
return '%s(%s)' % (self.func_name, args)
def cleanup(self, ttl=None, pipeline=None):
"""Prepare job for eventual deletion (if needed). This method is usually
called after successful execution. How long we persist the job and its
result depends on the value of result_ttl:
- If result_ttl is 0, cleanup the job immediately.
- If it's a positive number, set the job to expire in X seconds.
- If result_ttl is negative, don't set an expiry to it (persist
forever)
"""
if ttl == 0:
self.cancel()
elif ttl > 0:
connection = pipeline if pipeline is not None else self.connection
connection.expire(self.key, ttl)
def register_dependency(self, pipeline=None):
"""Jobs may have dependencies. Jobs are enqueued only if the job they
depend on is successfully performed. We record this relation as
a reverse dependency (a Redis set), with a key that looks something
like:
rq:job:job_id:dependents = {'job_id_1', 'job_id_2'}
This method adds the current job in its dependency's dependents set.
"""
connection = pipeline if pipeline is not None else self.connection
connection.sadd(Job.dependents_key_for(self._dependency_id), self.id)
def __str__(self):
return '<Job %s: %s>' % (self.id, self.description)
# Job equality
def __eq__(self, other): # noqa
return self.id == other.id
def __hash__(self):
return hash(self.id)
_job_stack = LocalStack()