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pyxqueue.py
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336 lines (286 loc) · 12 KB
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import os
import enum
import json
import time
import uuid
import traceback
import multiprocessing
from functools import wraps
class TaskError(Exception):
def __init__(self, error, exc_info):
super().__init__()
self.error = error
self.exc_info = exc_info
def __str__(self):
return f'TaskError: {self.error}\n{self.exc_info}'
class TaskStatus(enum.Enum):
PENDING = 1
STARTED = 2
RETRY = 3
FAILURE = 4
SUCCESS = 5
class TaskQueue:
def __init__(self, client, *, stream_key='stream', consumer_group='cg', worker_prefix='', timeout=1000,
queue_size=None, gc_interval=60):
self.client = client # Redis client
self.stream_key = f'xqueue.{stream_key}' # Store tasks in a stream
self.result_key = f'{self.stream_key}.results' # Store results in a Hash
self.worker_key = f'{self.stream_key}.workers' # Store workers in a Hash
self.progress_key = f'{self.stream_key}.progresses' # Store task progress in a Hash
self.worker_prefix = worker_prefix
self.consumer_group = consumer_group
self.timeout = timeout
self.queue_size = queue_size
self.gc_interval = gc_interval
self.shutdown_flag = multiprocessing.Event()
self._tasks = dict()
self.ensure_stream_and_consumer_group()
def ensure_stream_and_consumer_group(self):
if not self.client.exists(self.stream_key):
self.client.xgroup_create(self.stream_key, self.consumer_group, mkstream=True)
else:
group_name_set = [x['name'].decode() for x in self.client.xinfo_groups(self.stream_key)]
if self.consumer_group not in group_name_set:
self.client.xgroup_create(self.stream_key, self.consumer_group)
def task(self, fn):
fn_key = self.get_fn_key(fn)
if fn_key in self._tasks:
raise Exception('this function name already register, use other name instead')
self._tasks[fn_key] = fn
@wraps(fn)
def inner(*args, **kwargs):
message = self.serialize_message(fn, args, kwargs)
task_id = self.create_task(message)
return AsyncResult(self, task_id)
return inner
def update_task_progress(self, progress):
node_id = uuid.getnode()
pid = os.getpid()
workers = self.get_workers()
for item in workers.values():
if item['node_id'] != node_id:
continue
if item['pid'] != pid:
continue
self.client.hset(self.progress_key, item['task_id'], progress)
break
def get_task_progress(self, task_id):
return self.client.hget(self.progress_key, task_id)
def get_fn_key(self, fn):
mod = fn.__module__
fn = fn.__name__
return f'{mod}.{fn}'
def serialize_message(self, task, args=None, kwargs=None):
task_key = self.get_fn_key(task)
return json.dumps(dict(task_name=task_key, args=args, kwargs=kwargs))
def deserialize_message(self, message):
message = json.loads(message)
task_name = message['task_name']
args = message['args']
kwargs = message['kwargs']
if message['task_name'] not in self._tasks:
raise Exception(f'task "{task_name}" not registered with queue.')
return self._tasks[task_name], args, kwargs
def create_task(self, data):
task_id = self.client.xadd(self.stream_key, {'task': data})
self.update_task(task_id, TaskStatus.PENDING)
self.client.hset(self.progress_key, task_id, 0)
return task_id
def update_task(self, task_id, state, value=None, worker=None):
now = int(time.time())
body = {'state': state.value, 'value': value, 'worker': worker, 'update_time': now}
self.client.hset(self.result_key, task_id, json.dumps(body))
def store_result(self, task_id, result, worker=None):
if isinstance(result, TaskError):
failed = True
result = str(result)
else:
failed = False
self.client.hset(self.progress_key, task_id, 100)
state = TaskStatus.FAILURE if failed else TaskStatus.SUCCESS
self.update_task(task_id, state, result, worker=worker)
def get_result(self, task_id):
pipe = self.client.pipeline()
pipe.hexists(self.result_key, task_id)
pipe.hget(self.result_key, task_id)
exists, body = pipe.execute()
return json.loads(body) if exists else None
def run(self, nworkers=0):
import signal
nworkers = nworkers or multiprocessing.cpu_count()
_ = signal.signal(signal.SIGINT, signal.SIG_IGN)
self._pool = []
self.shutdown_flag.clear()
for _ in range(nworkers):
worker = TaskWorker(self)
worker_process = multiprocessing.Process(target=worker.run)
worker_process.start()
self._pool.append(worker_process)
def int_handler(_sig, _frame):
import sys
self.shutdown()
sys.exit(0)
signal.signal(signal.SIGINT, int_handler)
print(f'{nworkers} worker processes started.')
print('Press Ctrl+C to exit.')
while True:
time.sleep(self.gc_interval)
self.gc()
def shutdown(self):
self.shutdown_flag.set()
for worker_t in self._pool:
worker_t.kill()
def task_total(self):
return self.client.xlen(self.stream_key)
def get_tasks(self, end='+', start='-', count=10):
tasks = self.client.xrevrange(self.stream_key, end, start, count)
infos = []
for task_id, data in tasks:
info = json.loads(self.client.hget(self.result_key, task_id))
progress = self.get_task_progress(task_id)
infos.append(dict(task_id=task_id, info=info, data=data, progress=progress))
return infos
def get_task(self, task_id):
_task_id, data = self.client.xrange(self.stream_key, task_id, task_id, 1)[0]
progress = self.get_task_progress(task_id)
info = json.loads(self.client.hget(self.result_key, task_id))
return dict(task_id=task_id, info=info, data=data, progress=progress)
def retry_task(self, task_id):
_task_id, data = self.client.xrange(self.stream_key, task_id, '+', count=1)[0]
self.create_task(data[b'task'])
pipe = self.client.pipeline()
pipe.xdel(self.stream_key, task_id)
pipe.hdel(self.result_key, task_id)
pipe.execute()
def clear_tasks(self, start='-', end='+', count=None):
tasks = self.client.xrange(self.stream_key, start, end, count)
task_ids = [x[0] for x in tasks]
pipe = self.client.pipeline()
pipe.xdel(self.stream_key, *task_ids)
pipe.hdel(self.result_key, *task_ids)
pipe.hdel(self.progress_key, *task_ids)
pipe.execute()
def get_workers(self):
workers = self.client.hgetall(self.worker_key)
for k, v in workers.items():
workers[k] = json.loads(v)
return workers
def gc(self):
workers = self.get_workers()
for name, value in workers.items():
if value['update_time'] > time.time() - 3600 * 24 * 7:
continue
self.client.hdel(self.worker_key, name)
print(f'pyxqueue: gc worker {name}')
if not self.queue_size:
return
need_drop_count = self.task_total() - self.queue_size
if need_drop_count <= 0:
return
need_drop_tasks = self.get_tasks(count=need_drop_count)
count = 0
for task in need_drop_tasks:
if task['info']['state'] == TaskStatus.SUCCESS.value:
self.clear_tasks(task['task_id'], task['task_id'])
count += 1
if count:
print(f'pyxqueue: gc {count} tasks')
class TaskWorker:
_worker_idx = 0
def __init__(self, queue):
TaskWorker._worker_idx += 1
self.uuid = str(uuid.uuid1())
self.queue = queue
self.client = queue.client
self.stream_key = queue.stream_key
self.consumer_group = queue.consumer_group
self.worker_name = f'{queue.worker_prefix}worker-{TaskWorker._worker_idx}-{self.uuid}'
def update(self, task_id=None):
now = int(time.time())
node_id = uuid.getnode()
pid = os.getpid()
if isinstance(task_id, bytes):
task_id = task_id.decode()
data = {'node_id': node_id, 'pid': pid, 'task_id': task_id, 'update_time': now}
self.client.hset(self.queue.worker_key, self.worker_name, json.dumps(data))
def delete(self):
self.client.hdel(self.queue.worker_key, self.worker_name)
print(f'{self.worker_name} processe end')
def update_task_progress(self, task_id, progress):
self.client.hset(self.queue.progress_key, task_id, progress)
def run(self):
while not self.queue.shutdown_flag.is_set():
self.update()
pending_resp = self.client.xpending_range(
self.stream_key,
self.consumer_group,
consumername=self.worker_name,
min='-',
max='+',
count=1,
)
if pending_resp:
task_id = pending_resp[0]['message_id']
xrange_resp = self.client.xrange(self.stream_key, task_id, count=1)
_task_id, data = xrange_resp[0]
if task_id == _task_id:
self.queue.update_task(task_id, TaskStatus.RETRY, worker=self.worker_name)
self.update(task_id=task_id)
print(f'pyxqueue: restart task {task_id}:', json.loads(data[b'task'])['task_name'])
self.execute(task_id.decode(), data[b'task'])
continue
resp = self.client.xreadgroup(
self.consumer_group,
self.worker_name,
{self.stream_key: '>'},
count=1,
block=self.queue.timeout,
)
for _stream_key, message_list in resp:
task_id, data = message_list[0]
self.queue.update_task(task_id, TaskStatus.STARTED, worker=self.worker_name)
self.update(task_id=task_id)
print(f'pyxqueue: start task {task_id}:', json.loads(data[b'task'])['task_name'])
self.execute(task_id.decode(), data[b'task'])
self.delete()
def execute(self, task_id, message):
self.update_task_progress(task_id, 0)
task, args, kwargs = self.queue.deserialize_message(message)
try:
ret = task(*(args or ()), **(kwargs or {}))
except Exception as e:
exc_info = traceback.format_exc()
self.queue.store_result(task_id, TaskError(e, exc_info), worker=self.worker_name)
else:
self.queue.store_result(task_id, ret, worker=self.worker_name)
self.update_task_progress(task_id, 100)
self.client.xack(self.stream_key, self.consumer_group, task_id)
class AsyncResult:
def __init__(self, queue, task_id):
self.queue = queue
self.task_id = task_id
# {'state': int, 'value': result }
self._result = None
def _check_result(self):
if self._result:
return
self._result = self.queue.get_result(self.task_id)
@property
def state(self):
self._check_result()
if self._result is None:
return TaskStatus.PENDING
return TaskStatus(self._result['state'])
def get(self, timeout=None):
start = time.time()
while timeout is None or start + timeout > time.time():
result = self.queue.get_result(self.task_id)
if result is None:
time.sleep(0.2)
continue
self._result = result
if self.state == TaskStatus.SUCCESS:
return result['value']
if self.state == TaskStatus.FAILURE:
raise Exception(self._result['value'])
raise TimeoutError()