Files
awx/awx/main/dispatch/publish.py
thedoubl3j e55578b64e WIP First pass
* started removing feature flags and adjusting logic
* WIP
2026-01-19 20:26:04 -05:00

138 lines
4.6 KiB
Python

import inspect
import logging
import time
from uuid import uuid4
from dispatcherd.publish import submit_task
from dispatcherd.processors.blocker import Blocker
from dispatcherd.utils import resolve_callable
from django_guid import get_guid
logger = logging.getLogger('awx.main.dispatch')
def serialize_task(f):
return '.'.join([f.__module__, f.__name__])
class task:
"""
Used to decorate a function or class so that it can be run asynchronously
via the task dispatcher. Tasks can be simple functions:
@task()
def add(a, b):
return a + b
...or classes that define a `run` method:
@task()
class Adder:
def run(self, a, b):
return a + b
# Tasks can be run synchronously...
assert add(1, 1) == 2
assert Adder().run(1, 1) == 2
# ...or published to a queue:
add.apply_async([1, 1])
Adder.apply_async([1, 1])
# Tasks can also define a specific target queue or use the special fan-out queue tower_broadcast:
@task(queue='slow-tasks')
def snooze():
time.sleep(10)
@task(queue='tower_broadcast')
def announce():
print("Run this everywhere!")
# The special parameter bind_kwargs tells the main dispatcher process to add certain kwargs
@task(bind_kwargs=['dispatch_time'])
def print_time(dispatch_time=None):
print(f"Time I was dispatched: {dispatch_time}")
"""
def __init__(self, queue=None, bind_kwargs=None, timeout=None, on_duplicate=None):
self.queue = queue
self.bind_kwargs = bind_kwargs
self.timeout = timeout
self.on_duplicate = on_duplicate
def __call__(self, fn=None):
queue = self.queue
bind_kwargs = self.bind_kwargs
timeout = self.timeout
on_duplicate = self.on_duplicate
class PublisherMixin(object):
queue = None
@classmethod
def delay(cls, *args, **kwargs):
return cls.apply_async(args, kwargs)
@classmethod
def get_async_body(cls, args=None, kwargs=None, uuid=None, **kw):
"""
Get the python dict to become JSON data in the pg_notify message
This same message gets passed over the dispatcher IPC queue to workers
If a task is submitted to a multiprocessing pool, skipping pg_notify, this might be used directly
"""
task_id = uuid or str(uuid4())
args = args or []
kwargs = kwargs or {}
obj = {'uuid': task_id, 'args': args, 'kwargs': kwargs, 'task': cls.name, 'time_pub': time.time()}
guid = get_guid()
if guid:
obj['guid'] = guid
if bind_kwargs:
obj['bind_kwargs'] = bind_kwargs
obj.update(**kw)
return obj
@classmethod
def apply_async(cls, args=None, kwargs=None, queue=None, uuid=None, **kw):
# At this point we have the import string, and submit_task wants the method, so back to that
actual_task = resolve_callable(cls.name)
processor_options = ()
if on_duplicate is not None:
processor_options = (Blocker.Params(on_duplicate=on_duplicate),)
return submit_task(
actual_task,
args=args,
kwargs=kwargs,
queue=queue,
uuid=uuid,
timeout=timeout,
processor_options=processor_options,
**kw,
)
# If the object we're wrapping *is* a class (e.g., RunJob), return
# a *new* class that inherits from the wrapped class *and* BaseTask
# In this way, the new class returned by our decorator is the class
# being decorated *plus* PublisherMixin so cls.apply_async() and
# cls.delay() work
bases = []
ns = {'name': serialize_task(fn), 'queue': queue}
if inspect.isclass(fn):
bases = list(fn.__bases__)
ns.update(fn.__dict__)
cls = type(fn.__name__, tuple(bases + [PublisherMixin]), ns)
if inspect.isclass(fn):
return cls
# if the object being decorated is *not* a class (it's a Python
# function), make fn.apply_async and fn.delay proxy through to the
# PublisherMixin we dynamically created above
setattr(fn, 'name', cls.name)
setattr(fn, 'apply_async', cls.apply_async)
setattr(fn, 'delay', cls.delay)
setattr(fn, 'get_async_body', cls.get_async_body)
return fn