Download .venv/lib/python3.12/site-packages/icrawler/utils/thread_pool.py from FaustDerLegende/split: direct link, hf CLI and curl.
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3.51 kB
| import logging | |
| from threading import Lock, Thread | |
| from .cached_queue import CachedQueue | |
| class Worker(Thread): | |
| def __init__(self, *args, **kwargs): | |
| super().__init__(*args, **kwargs) | |
| self.daemon = True | |
| self.quit = False | |
| def terminate(self): | |
| self.quit = True | |
| class ThreadPool: | |
| """Simple implementation of a thread pool | |
| This is the base class of :class:`Feeder`, :class:`Parser` and | |
| :class:`Downloader`, it incorporates two FIFO queues and a number of | |
| "workers", namely threads. All threads share the two queues, after each | |
| thread starts, it will watch the ``in_queue``, once the queue is not empty, | |
| it will get a task from the queue and process as wanted, then it will put | |
| the output to ``out_queue``. | |
| Note: | |
| This class is not designed as a generic thread pool, but works | |
| specifically for crawler components. | |
| Attributes: | |
| name (str): thread pool name. | |
| thread_num (int): number of available threads. | |
| in_queue (Queue): input queue of tasks. | |
| out_queue (Queue): output queue of finished tasks. | |
| workers (list): a list of working threads. | |
| lock (Lock): thread lock. | |
| logger (Logger): standard python logger. | |
| """ | |
| def __init__(self, thread_num, in_queue=None, out_queue=None, name=None): | |
| self.thread_num = thread_num | |
| self.in_queue = in_queue if in_queue else CachedQueue(5 * self.thread_num) | |
| self.out_queue = out_queue if out_queue else CachedQueue(5 * self.thread_num) | |
| self.name = name if name else __name__ | |
| self.workers = [] | |
| self.lock = Lock() | |
| self.logger = logging.getLogger(self.name) | |
| def init_workers(self, *args, **kwargs): | |
| self.workers = [] | |
| for i in range(self.thread_num): | |
| worker = Worker(target=self.worker_exec, name=f"{self.name}-{i + 1:03d}", args=args, kwargs=kwargs) | |
| self.workers.append(worker) | |
| def start(self, *args, **kwargs): | |
| self.init_workers(*args, **kwargs) | |
| for worker in self.workers: | |
| self.logger.debug("thread %s started", worker.name) | |
| worker.start() | |
| def input(self, task, block=True, timeout=None): | |
| if self.in_queue is not None: | |
| self.in_queue.put(task, block, timeout) | |
| def output(self, task, block=True, timeout=None): | |
| if self.out_queue is not None: | |
| self.out_queue.put(task, block, timeout) | |
| def clear_buffer(self, clear_out=False): | |
| self.in_queue.queue.clear() | |
| if clear_out: | |
| self.out_queue.queue.clear() | |
| def worker_exec(self, *args, **kwargs): | |
| raise NotImplementedError | |
| def connect(self, component): | |
| """Connect two ThreadPools. | |
| The ``in_queue`` of the second pool will be set as the ``out_queue`` of | |
| the current pool, thus all the output will be input to the second pool. | |
| Args: | |
| component (ThreadPool): the ThreadPool to be connected. | |
| Returns: | |
| ThreadPool: the modified second ThreadPool. | |
| """ | |
| if not isinstance(component, ThreadPool): | |
| raise TypeError('"component" must be a ThreadPool object') | |
| component.in_queue = self.out_queue | |
| return component | |
| def is_alive(self): | |
| for worker in self.workers: | |
| if worker.is_alive(): | |
| return True | |
| return False | |
| def terminate(self): | |
| for worker in self.workers: | |
| worker.terminate() | |