代码

import asyncio import base64 import os import urllib import aiohttp # ----------------------- # ----------------------- bucket = 'xxx' username = 'xxx' password = 'xxxxxx' hostname = "xxxxxx" base_save_path = 'f:' # ----------------------- headers = {} auth = base64.b64encode(f'{username}:{password}'.encode(encoding='utf-8')) headers['Authorization'] = 'Basic ' + str(auth) headers['User-Agent'] = "UPYUN_DOWNLOAD_SCRIPT" headers['x-list-limit'] = '300' thread_sleep = 1 def is_dic(url): """判断 key 是否是目录 根据是否有后缀名判断""" url = url.replace('http://v0.api.upyun.com/', '') # print(len(url.split('.'))) if len(url.split('.')) == 1: return True else: return False class Crawler: def __init__(self, init_key, hostname, max_tasks=10, pic_tsak=50): '''初始化爬虫''' self.loop = asyncio.get_event_loop() self.max_tries = 4 # 每个图片重试次数 self.max_tasks = max_tasks # 接口请求进程数 self.key_queue = asyncio.Queue(loop=self.loop) # 接口队列 self.pic_queue = asyncio.Queue(loop=self.loop) # 图片队列 self.session = aiohttp.ClientSession(loop=self.loop) #接口异步 http 请求 self.pic_session = aiohttp.ClientSession(loop=self.loop) #图片异步 http 请求 self.key_queue.put_nowait({'key': init_key, 'x-list-iter': None, 'hostname': hostname}) #初始化接口队列 push 需要下载的目录 self.pic_tsak = pic_tsak #图片下载进程数（接口有调用频率限制，http 下载没有限制） def close(self): """回收 http session""" self.session.close() self.pic_session.close() async def work(self): """接口请求队列消费者""" try: while True: url = await self.key_queue.get() # print('key 队列数量:' + await self.key_queue.qsize()) await self.handle(url) self.key_queue.task_done() await asyncio.sleep(1) except asyncio.CancelledError: pass async def work_pic(self): """图片请求队列消费者""" try: while True: url = await self.pic_queue.get() await self.handle_pic(url) self.pic_queue.task_done() await asyncio.sleep(1) except asyncio.CancelledError: pass async def handle_pic(self, key): """处理图片请求""" url = (lambda x: x[0] == '/' and x or '/' + x)(key['key']) url = url.encode('utf-8') url = urllib.parse.quote(url) pic_url = key['hostname'] + url + '!s400' tries = 0 while tries < self.max_tries: try: respOnse= await self.pic_session.get(pic_url) break except aiohttp.ClientError: pass tries += 1 try: if is_dic(url): # print('图片线程-目录 :{}'.format(url)) cOntent= await response.text() try: iter_header = response.headers.get('x-upyun-list-iter') except Exception as e: iter_header = 'g2gCZAAEbmV4dGQAA2VvZg' list_json_param = content + "`" + str(response.status) + "`" + str(iter_header) self.do_file(self.get_list(list_json_param), key['key'], key['hostname']) else: # print('图片线程-文件:{}'.format(key['save_path'])) with open(key['save_path'], 'wb') as f: f.write(await response.read()) finally: await response.release() async def handle(self, key): """处理接口请求""" url = '/' + bucket + (lambda x: x[0] == '/' and x or '/' + x)(key['key']) url = url.encode('utf-8') url = urllib.parse.quote(url) if key['x-list-iter'] is not None: if key['x-list-iter'] is not None or not 'g2gCZAAEbmV4dGQAA2VvZg': headers['X-List-Iter'] = key['x-list-iter'] tries = 0 while tries < self.max_tries: try: respOnse= await self.session.get("http://v0.api.upyun.com" + url, headers=headers) break except aiohttp.ClientError: pass tries += 1 try: if is_dic(url): # print('目录线程-目录 :{}'.format(url)) cOntent= await response.text() try: iter_header = response.headers.get('x-upyun-list-iter') except Exception as e: iter_header = 'g2gCZAAEbmV4dGQAA2VvZg' list_json_param = content + "`" + str(response.sttus) + "`" + str(iter_header) self.do_file(self.get_list(list_json_param), key['key'], key['hostname']) else: # print('目录线程-文件:{}'.format(key['save_path'])) with open(key['save_path'], 'wb') as f: f.write(await response.read()) finally: await response.release() def get_list(self, content): # print(content) if content: cOntent= content.split("`") items = content[0].split('\n') cOntent= [dict(zip(['name', 'type', 'size', 'time'], x.split('\t'))) for x in items] + content[1].split() + \ content[2].split() return content else: return None def do_file(self, list_json, key, hostname): """处理接口数据""" for i in list_json[:-2]: if not i['name']: continue new_key = key + i['name'] if key == '/' else key + '/' + i['name'] try: if i['type'] == 'F': self.key_queue.put_nowait({'key': new_key, 'x-list-iter': None, 'hostname': hostname}) else: try: if not os.path.exists(bucket + key): os.makedirs(bucket + key) except OSError as e: print('新建文件夹错误:' + str(e)) save_path = base_save_path + '/' + bucket + new_key if not os.path.isfile(save_path): print(f'请求图片：', new_key) self.pic_queue.put_nowait( {'key': new_key, 'save_path': save_path, 'x-list-iter': None, 'hostname': hostname}) else: print(f'文件已存在:{save_path}') except Exception as e: print('下载文件错误！:' + str(e)) with open('download_err.txt', 'a') as f: f.write(new_key + '\n') if list_json[-1] != 'g2gCZAAEbmV4dGQAA2VvZg': self.key_queue.put_nowait({'key': key, 'x-list-iter': list_json[-1], 'hostname': hostname}) # self.key_queue.put_nowait({'key': key, 'x-list-iter': list_json[-1], 'hostname': hostname}) async def run(self): """初始化任务进程""" workers = [asyncio.Task(self.work(), loop=self.loop) for _ in range(self.max_tasks)] workers_pic = [asyncio.Task(self.work_pic(), loop=self.loop) for _ in range(self.pic_tsak)] await self.key_queue.join() await self.pic_queue.join() workers.append(workers_pic) for w in workers: w.cancel() if __name__ == '__main__': loop = asyncio.get_event_loop() crawler = Crawler('/', hostname, max_tasks=5, pic_tsak=150) loop.run_until_complete(crawler.run()) crawler.close() loop.close() 

上面是代码

问题

1. 以上代码执行后没什么问题。但是当长时间执行后会卡主。。百思不得其解(猜测可能是队列问题？但是无法验证)。为何到达一定时间(大约 5 小时以上)脚本会卡死?
2. 此脚本目的为了下载又拍云所有图片保存到本地。图片量非常大(大约 10T) 3 亿张左右。目前机器的下载宽带大概在 300M/下载速度大约 30M/S ,多次联系又拍云，又拍云表示只能这样下载。无法通过邮寄硬盘直接拷贝。我们也在杭州。但是又拍云无法拷贝 还有什么特殊方法可以快速下载所有图片?