def __init__(self, conn, namespace, qname=None):
"""
:param namespace: name of namespace for this handler container
:type namespace: ``str``
:param qname: queue to listen
:type qname: ``str``
"""
self.namespace = namespace
self._queue = RedisQueue(conn, qname)
class Producer:
"""
Produce for simple queue.queue
In order too use producer you need RedisQMixin setup first. Message
Queue uses Redis as message storage, so anyway redis must be connected.
>>>namespace_producer = Producer("some_namespace")
>>>namespace_producer.do_smth_action(a=1, b=2)
following message will be constructed and inserted to redis list.
```{"id": 123456789,
"some_namespace": "some_namespace",
"action": "do_smth_action",
"data": {"a": 1, "b": 2}```
"""
serializer = json.dumps
def __init__(self, conn, namespace, qname=None):
"""
:param namespace: name of namespace for this handler container
:type namespace: ``str``
:param qname: queue to listen
:type qname: ``str``
"""
self.namespace = namespace
self._queue = RedisQueue(conn, qname)
def __getattr__(self, action):
"""Create method with required action, and passes it
to client."""
@asyncio.coroutine
def add_job(self, **kw):
msg = self._build_msg(action, **kw)
yield from self._queue.put(msg)
return add_job.__get__(self)
def _build_msg(self, action, **kw):
"""Form job metadata as string with JSON data."""
job_id = kw.pop('id', None) or str(uuid.uuid4())
data = {
'id': job_id,
'namespace': self.namespace,
'action': action,
'data': kw
}
return json.dumps(data)
def __init__(self, conn, concurrency=1, qname=None, loop=None):
self._qname = qname or settings.DEFAULT_Q
self._queue = RedisQueue(conn, 'test')
self.concurrency = concurrency
self._loop = loop or asyncio.get_event_loop()
self._is_running = True
class Consumer:
"""
Consumer for simple message queue.
"""
def __init__(self, conn, concurrency=1, qname=None, loop=None):
self._qname = qname or settings.DEFAULT_Q
self._queue = RedisQueue(conn, 'test')
self.concurrency = concurrency
self._loop = loop or asyncio.get_event_loop()
self._is_running = True
def wait_for_data(self):
"""Fetch data from queue ant pass it to next user."""
task = asyncio.Task(self._queue.get(), loop=self._loop)
return task
def _create_generator(self):
"""
Creates infinite generator. Method pulls data from queue and yields
it for further processing.
:return: ``iterable``generator to generate jobs
"""
while self._is_running:
task = self.wait_for_data()
yield task
@asyncio.coroutine
def return_msg_back(self, msg):
yield from self._queue.put(msg)
@asyncio.coroutine
def cooperate(self, iter):
for future in iter:
msg_raw = yield from future
logger.debug("Goe message from queue: {}".format(msg_raw))
try:
yield from self._dispatch(msg_raw)
except (TMQNoNamespaceHandler, TMQNoActionMethod):
log_msg = 'No handlers for msg: {}'.format(msg_raw)
logger.error(log_msg)
except Exception as e:
# TODO: should be better way
logger.error('Unhandled error in occurred: {},'
'wait {} sec until next job'.format(e, 5))
yield self.return_msg_back(msg_raw)
yield from asyncio.sleep(5, loop=self._loop)
def _dispatch(self, msg_raw):
job = Job(msg_raw)
handle_class = MetaRegister.REGISTRY.get(job.namespace, None)
if not handle_class:
logger.warning("Namespace does not recognized, there is no"
"handler class for this namespace ?")
raise TMQNoNamespaceHandler()
handler = handle_class(job)
yield from handler._handle()
def work(self, generator=None):
"""Start listening and processing tasks"""
job_gen = generator or self._create_generator()
futures = []
for i in range(self.concurrency):
f = asyncio.async(self.cooperate(job_gen), loop=self._loop)
futures.append(f)
return futures
