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為什么請求停止？

[英]Why does requests stop?

 原文  2020-11-18 17:29:27  7   2    python/ download/ python-requests/ download-manager

問題描述

我正在使用tkinter 和 requests制作這個應用程序，它應該像一個下載管理器。 我正在使用請求，最近我發現requests.get(url)函數中的流關鍵字參數能夠在下載內容時記下。 我的問題是，當用戶下載多個文件或只是大文件時，請求似乎停止了。 奇怪的是，它不會像預期的行為那樣引發錯誤。 為什么會發生這種情況？ 我該如何解決這個問題？ 沒有GUI的簡單下載版本（我發現這個特定的url有點問題）：

import requests
import time

url = "https://aspb2.cdn.asset.aparat.com/aparat-video/a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4?wmsAuthSign=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0b2tlbiI6Ijg0ZTVmNjhhMGJkNDJlMmM0MWFjZjgyNzY5YWU4NmMzIiwiZXhwIjoxNjA1NzM3NjIxLCJpc3MiOiJTYWJhIElkZWEgR1NJRyJ9.eaqnWYevFhe-CHG1TGR3SuoTbnVNBEJmLj-ZSxjtNbY"
headers = requests.head(url, headers={'accept-encoding': ''}).headers
print(headers)
r = requests.get(url, allow_redirects=True, stream=True)
# headers = r.headers
name = url.split('/')[-1].split('.')[0]
print(name)
format_name = '.' + headers['Content-Type'].split('/')[1]
file_size = int(headers['Content-Length'])
downloaded = 0
print(name + format_name)
start = last_print = time.time()
with open(name + format_name, 'wb') as fp:
    for chunk in r.iter_content(chunk_size=4096):
        downloaded += fp.write(chunk)
        now = time.time()
        if now - last_print >= 1:
            pct_done = round(downloaded / file_size * 100)
            speed = round(downloaded / (now - start) / 1024)
            print(f"Download {pct_done} % done, avg speed {speed} kbps")
            last_print = time.time()

更新：我檢查了另外兩個可能有答案的 stackoverflow 問題，但顯然還有問題仍未得到解答（鏈接： 流式下載大文件，python 請求中斷，鏈接： Python 的 file.flush() 到底在做什么？ ）。 我嘗試使用提到的兩個功能作為問題的解決方案，但一些下載仍然停止。 新版代碼：

import requests
import time
import os

url = "https://aspb2.cdn.asset.aparat.com/aparat-video/a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4?wmsAuthSign=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0b2tlbiI6Ijg0ZTVmNjhhMGJkNDJlMmM0MWFjZjgyNzY5YWU4NmMzIiwiZXhwIjoxNjA1NzM3NjIxLCJpc3MiOiJTYWJhIElkZWEgR1NJRyJ9.eaqnWYevFhe-CHG1TGR3SuoTbnVNBEJmLj-ZSxjtNbY"
headers = requests.head(url, headers={'accept-encoding': ''}).headers
print(headers)
r = requests.get(url, allow_redirects=True, stream=True)
name = url.split('/')[-1].split('.')[0]
print(name)
format_name = '.' + headers['Content-Type'].split('/')[1]
file_size = int(headers['Content-Length'])
downloaded = 0
print(name + format_name)
start = last_print = time.time()
with open(name + format_name, 'wb') as fp:
    for chunk in r.iter_content(chunk_size=4096):
        downloaded += fp.write(chunk)
        # Added the 'flush' and 'fsync' function as mentioned in the issues
        fp.flush()
        os.fsync(fp.fileno())
        now = time.time()
        if now - last_print >= 1:
            pct_done = round(downloaded / file_size * 100)
            speed = round(downloaded / (now - start) / 1024)
            print(f"Download {pct_done} % done, avg speed {speed} kbps")
            last_print = time.time()

即使添加了這兩個函數，請求似乎也停止了。 我懷疑請求有時無法保持連接，因為在一天中的某些時間，當我的互聯網不那么強大時，這個問題發生得最多，但我不明白為什么它不會引發像 urllib 這樣的錯誤。 如果不是這種情況，那么我該如何解決這個問題？

2 個解決方案

解決方案1
 3 已采納  2020-11-21 18:11:09

我做了 3 個更改，其中只有一個直接影響結果。

  1. 我添加了r.raise_for_status()來檢查任何錯誤，這是一個很好的做法。
  2. 我用作文件名name = url.split('/')[-1].split('?')[0] ，結果是'a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4' ，可能是你想要的，因為它有合適的延期。
  3. 我將chunk_size增加了 64 倍，這可能就是訣竅。
import requests
import time

url = "https://aspb2.cdn.asset.aparat.com/aparat-video/a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4?wmsAuthSign=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0b2tlbiI6Ijg0ZTVmNjhhMGJkNDJlMmM0MWFjZjgyNzY5YWU4NmMzIiwiZXhwIjoxNjA1NzM3NjIxLCJpc3MiOiJTYWJhIElkZWEgR1NJRyJ9.eaqnWYevFhe-CHG1TGR3SuoTbnVNBEJmLj-ZSxjtNbY"
headers = requests.head(url, headers={'accept-encoding': ''}).headers
print(headers)
r = requests.get(url, allow_redirects=True, stream=True)
r.raise_for_status() # check for errors
# headers = r.headers
name = url.split('/')[-1].split('?')[0]
print(name)
file_size = int(headers['Content-Length'])
downloaded = 0
start = last_print = time.time()
with open(name, 'wb') as fp:
    for chunk in r.iter_content(chunk_size=4096 * 64):
        downloaded += fp.write(chunk)
        now = time.time()
        if now - last_print >= 1:
            pct_done = round(downloaded / file_size * 100)
            speed = round(downloaded / (now - start) / 1024)
            print(f"Download {pct_done} % done, avg speed {speed} kbps")
            last_print = time.time()

印刷：

{'Accept-Ranges': 'bytes', 'Access-Control-Allow-Headers': '*', 'Access-Control-Allow-Methods': 'GET, HEAD, OPTIONS', 'Access-Control-Allow-Origin': '*', 'Access-Control-Expose-Headers': 'Server,range,Content-Length,Content-Range', 'Cache-Control': 'max-age=8640000', 'Content-Length': '101751914', 'Content-Type': 'video/mp4', 'Date': 'Sat, 21 Nov 2020 18:04:48 GMT', 'Etag': '"5e379fa7-6109c6a"', 'Expires': 'Mon, 01 Mar 2021 18:04:48 GMT', 'Last-Modified': 'Sun, 19 Nov 2000 08:52:00 GMT'}
a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4
Download 0 % done, avg speed 249 kbps
Download 3 % done, avg speed 1386 kbps
Download 11 % done, avg speed 3443 kbps
Download 19 % done, avg speed 4525 kbps
Download 28 % done, avg speed 5399 kbps
Download 38 % done, avg speed 6218 kbps
Download 50 % done, avg speed 6997 kbps
Download 63 % done, avg speed 7763 kbps
Download 78 % done, avg speed 8463 kbps
Download 89 % done, avg speed 8733 kbps

我應該補充一點，它也適用於我的原始chunk_size 4096，盡管速度要慢得多。 老實說，我不能給你一個確切的原因，為什么它會掛在你身上，但肯定沒有理由不嘗試使用我建議的更大（但不是不合理的大） chunk_size 。

更新

我試過多次運行代碼，發現性能差異很大。 盡管指定了chunk_size ，但代碼似乎最終以更小的塊進行迭代。 這是一個示例運行，它仍然完成：

{'Accept-Ranges': 'bytes', 'Access-Control-Allow-Headers': '*', 'Access-Control-Allow-Methods': 'GET, HEAD, OPTIONS', 'Access-Control-Allow-Origin': '*', 'Access-Control-Expose-Headers': 'Server,range,Content-Length,Content-Range', 'Cache-Control': 'max-age=8640000', 'Content-Length': '101751914', 'Content-Type': 'video/mp4', 'Date': 'Sat, 21 Nov 2020 19:14:13 GMT', 'Etag': '"5e379fa7-6109c6a"', 'Expires': 'Mon, 01 Mar 2021 19:14:13 GMT', 'Last-Modified': 'Sun, 19 Nov 2000 08:52:00 GMT'}
a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4
Download 0 % done, avg speed 243 kbps
Download 3 % done, avg speed 1240 kbps
Download 12 % done, avg speed 3803 kbps
Download 19 % done, avg speed 4484 kbps
Download 24 % done, avg speed 4601 kbps
Download 29 % done, avg speed 4615 kbps
Download 33 % done, avg speed 4503 kbps
Download 37 % done, avg speed 4411 kbps
Download 40 % done, avg speed 4126 kbps
Download 42 % done, avg speed 3907 kbps
Download 44 % done, avg speed 3674 kbps
Download 45 % done, avg speed 3462 kbps
Download 46 % done, avg speed 3238 kbps
Download 47 % done, avg speed 3061 kbps
Download 47 % done, avg speed 2913 kbps
Download 48 % done, avg speed 2753 kbps
Download 49 % done, avg speed 2613 kbps
Download 49 % done, avg speed 2504 kbps
Download 50 % done, avg speed 2396 kbps
Download 50 % done, avg speed 2286 kbps
Download 51 % done, avg speed 2190 kbps
Download 52 % done, avg speed 2108 kbps
Download 52 % done, avg speed 2035 kbps
Download 53 % done, avg speed 1975 kbps
Download 53 % done, avg speed 1907 kbps
Download 54 % done, avg speed 1859 kbps
Download 55 % done, avg speed 1831 kbps
Download 56 % done, avg speed 1796 kbps
Download 57 % done, avg speed 1759 kbps
Download 58 % done, avg speed 1724 kbps
Download 60 % done, avg speed 1693 kbps
Download 60 % done, avg speed 1663 kbps
Download 61 % done, avg speed 1633 kbps
Download 62 % done, avg speed 1605 kbps
Download 63 % done, avg speed 1580 kbps
Download 64 % done, avg speed 1555 kbps
Download 65 % done, avg speed 1536 kbps
Download 65 % done, avg speed 1515 kbps
Download 66 % done, avg speed 1496 kbps
Download 67 % done, avg speed 1476 kbps
Download 68 % done, avg speed 1456 kbps
Download 69 % done, avg speed 1438 kbps
Download 70 % done, avg speed 1421 kbps
Download 70 % done, avg speed 1405 kbps
Download 71 % done, avg speed 1391 kbps
Download 72 % done, avg speed 1372 kbps
Download 73 % done, avg speed 1357 kbps
Download 73 % done, avg speed 1344 kbps
Download 74 % done, avg speed 1330 kbps
Download 75 % done, avg speed 1320 kbps
Download 76 % done, avg speed 1310 kbps
Download 77 % done, avg speed 1297 kbps
Download 78 % done, avg speed 1289 kbps
Download 79 % done, avg speed 1284 kbps
Download 80 % done, avg speed 1279 kbps
Download 81 % done, avg speed 1275 kbps
Download 83 % done, avg speed 1272 kbps
Download 84 % done, avg speed 1271 kbps
Download 85 % done, avg speed 1270 kbps
Download 87 % done, avg speed 1269 kbps
Download 88 % done, avg speed 1265 kbps
Download 89 % done, avg speed 1260 kbps
Download 89 % done, avg speed 1252 kbps
Download 90 % done, avg speed 1244 kbps
Download 91 % done, avg speed 1237 kbps
Download 92 % done, avg speed 1230 kbps
Download 92 % done, avg speed 1224 kbps
Download 94 % done, avg speed 1214 kbps
Download 95 % done, avg speed 1204 kbps
Download 95 % done, avg speed 1195 kbps
Download 96 % done, avg speed 1186 kbps
Download 97 % done, avg speed 1177 kbps
Download 98 % done, avg speed 1168 kbps
Download 98 % done, avg speed 1160 kbps
Download 99 % done, avg speed 1151 kbps
Download 100 % done, avg speed 1144 kbps

使用urllib3版本

import urllib3
import time

http = urllib3.PoolManager()
url = "https://aspb2.cdn.asset.aparat.com/aparat-video/a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4?wmsAuthSign=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0b2tlbiI6Ijg0ZTVmNjhhMGJkNDJlMmM0MWFjZjgyNzY5YWU4NmMzIiwiZXhwIjoxNjA1NzM3NjIxLCJpc3MiOiJTYWJhIElkZWEgR1NJRyJ9.eaqnWYevFhe-CHG1TGR3SuoTbnVNBEJmLj-ZSxjtNbY"
r = http.request('HEAD', url)
headers = r.headers
print(headers)
r = http.request('GET', url, preload_content=False)
name = url.split('/')[-1].split('?')[0]
print(name)
file_size = int(headers['Content-Length'])
downloaded = 0
start = last_print = time.time()
with open(name, 'wb') as fp:
    for chunk in r.stream(4096 * 64):
        downloaded += fp.write(chunk)
        now = time.time()
        if now - last_print >= 1:
            pct_done = round(downloaded / file_size * 100)
            speed = round(downloaded / (now - start) / 1024)
            print(f"Download {pct_done} % done, avg speed {speed} kbps")
            last_print = time.time()
    r.release_conn()

使用urllib版本

import time
from urllib.request import urlopen

url = "https://aspb2.cdn.asset.aparat.com/aparat-video/a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4?wmsAuthSign=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0b2tlbiI6Ijg0ZTVmNjhhMGJkNDJlMmM0MWFjZjgyNzY5YWU4NmMzIiwiZXhwIjoxNjA1NzM3NjIxLCJpc3MiOiJTYWJhIElkZWEgR1NJRyJ9.eaqnWYevFhe-CHG1TGR3SuoTbnVNBEJmLj-ZSxjtNbY"
response = urlopen(url)
file_size = int(response.getheader('Content-Length'))
print('File size =', file_size)
name = url.split('/')[-1].split('?')[0]
print(name)
downloaded = 0
start = last_print = time.time()
with open(name, 'wb') as fp:
    while True:
        chunk = response.read(4096 * 64)
        if not chunk:
            break
        downloaded += fp.write(chunk)
        now = time.time()
        if now - last_print >= 1:
            pct_done = round(downloaded / file_size * 100)
            speed = round(downloaded / (now - start) / 1024)
            print(f"Download {pct_done} % done, avg speed {speed} kbps")
            last_print = time.time()

版本使用urllib和urlretrieve

from urllib.request import urlretrieve
import time


def report_hook(numblocks, blocksize, file_size):
    global start, last_print
    now = time.time()
    if now - last_print >= 1:
        downloaded = numblocks * blocksize
        pct_done = round(downloaded / file_size * 100)
        speed = round(downloaded / (now - start) / 1024)
        print(f"Download {pct_done} % done, avg speed {speed} kbps")
        last_print = now


url = "https://aspb2.cdn.asset.aparat.com/aparat-video/a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4?wmsAuthSign=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0b2tlbiI6Ijg0ZTVmNjhhMGJkNDJlMmM0MWFjZjgyNzY5YWU4NmMzIiwiZXhwIjoxNjA1NzM3NjIxLCJpc3MiOiJTYWJhIElkZWEgR1NJRyJ9.eaqnWYevFhe-CHG1TGR3SuoTbnVNBEJmLj-ZSxjtNbY"
name = url.split('/')[-1].split('?')[0]
print(name)
start = time.time()
last_print = start
urlretrieve(url, name, report_hook)

使用wget版本

wget非常健壯。 如果您使用的是 Windows，則可以在此處下載版本。 第一個版本從wget獲取管道 stderr 輸出並顯示每一行，如下所示：

--2020-11-24 09:20:02--  https://aspb2.cdn.asset.aparat.com/aparat-video/a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4?wmsAuthSign=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0b2tlbiI6Ijg0ZTVmNjhhMGJkNDJlMmM0MWFjZjgyNzY5YWU4NmMzIiwiZXhwIjoxNjA1NzM3NjIxLCJpc3MiOiJTYWJhIElkZWEgR1NJRyJ9.eaqnWYevFhe-CHG1TGR3SuoTbnVNBEJmLj-ZSxjtNbY
Resolving aspb2.cdn.asset.aparat.com (aspb2.cdn.asset.aparat.com)... 91.229.46.35
Connecting to aspb2.cdn.asset.aparat.com (aspb2.cdn.asset.aparat.com)|91.229.46.35|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 101751914 (97M) [video/mp4]
Saving to: 'a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4'

     0K ........ ........ ........ ........ ........ ........  3%  509K 3m9s
  3072K ........ ........ ........ ........ ........ ........  6% 1.36M 2m5s
  6144K ........ ........ ........ ........ ........ ........  9% 1.94M 96s
  9216K ........ ........ ........ ........ ........ ........ 12% 1.14M 88s
 12288K ........ ........ ........ ........ ........ ........ 15%  931K 86s
 15360K ........ ........ ........ ........ ........ ........ 18%  970K 83s
 18432K ........ ........ ........ ........ ........ ........ 21% 1.28M 77s
 21504K ........ ........ ........ ........ ........ ........ 24% 1.90M 69s
 24576K ........ ........ ........ ........ ........ ........ 27% 2.64M 62s
 27648K ........ ........ ........ ........ ........ ........ 30% 2.87M 56s
 30720K ........ ........ ........ ........ ........ ........ 34% 2.07M 51s
 33792K ........ ........ ........ ........ ........ ........ 37% 1.30M 49s
 36864K ........ ........ ........ ........ ........ ........ 40%  713K 49s
 39936K ........ ........ ........ ........ ........ ........ 43%  731K 49s
 43008K ........ ........ ........ ........ ........ ........ 46%  663K 48s
 46080K ........ ........ ........ ........ ........ ........ 49%  657K 48s
 49152K ........ ........ ........ ........ ........ ........ 52% 1.01M 45s
 52224K ........ ........ ........ ........ ........ ........ 55% 1.76M 41s
 55296K ........ ........ ........ ........ ........ ........ 58% 1.49M 37s
 58368K ........ ........ ........ ........ ........ ........ 61% 1.32M 34s
 61440K ........ ........ ........ ........ ........ ........ 64% 1.20M 31s
 64512K ........ ........ ........ ........ ........ ........ 68%  966K 29s
 67584K ........ ........ ........ ........ ........ ........ 71%  977K 26s
 70656K ........ ........ ........ ........ ........ ........ 74%  857K 24s
 73728K ........ ........ ........ ........ ........ ........ 77%  803K 21s
 76800K ........ ........ ........ ........ ........ ........ 80%  753K 19s
 79872K ........ ........ ........ ........ ........ ........ 83%  842K 16s
 82944K ........ ........ ........ ........ ........ ........ 86% 1.14M 13s
 86016K ........ ........ ........ ........ ........ ........ 89% 1.79M 10s
 89088K ........ ........ ........ ........ ........ ........ 92% 2.21M 7s
 92160K ........ ........ ........ ........ ........ ........ 95% 2.19M 4s
 95232K ........ ........ ........ ........ ........ ........ 98% 2.45M 1s
 98304K ........ ........                                    100% 2.54M=88s

2020-11-24 09:21:31 (1.10 MB/s) - 'a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4' saved [101751914/101751914]

來源：

import subprocess
import time

def run_wget(url, outfile):
    cmd = ['wget', '--progress=dot:mega', '-O', outfile, url]
    p = subprocess.Popen(cmd, stderr=subprocess.PIPE, universal_newlines=True)
    for stderr_line in iter(p.stderr.readline, ""):
        yield stderr_line
    p.stderr.close()
    return_code = p.wait()
    if return_code:
        raise subprocess.CalledProcessError(return_code, cmd)

url = "https://aspb2.cdn.asset.aparat.com/aparat-video/a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4?wmsAuthSign=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0b2tlbiI6Ijg0ZTVmNjhhMGJkNDJlMmM0MWFjZjgyNzY5YWU4NmMzIiwiZXhwIjoxNjA1NzM3NjIxLCJpc3MiOiJTYWJhIElkZWEgR1NJRyJ9.eaqnWYevFhe-CHG1TGR3SuoTbnVNBEJmLj-ZSxjtNbY"
name = url.split('/')[-1].split('?')[0]
print(name)
start = time.time()
for line in run_wget(url, name):
    print(line, end='')
print('Total time:', time.time() - start)

第二個版本處理輸出以生成類似於其他解決方案的列表：

a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4
file size = 101751914
Download 3% done, avg speed 384 kbps
Download 6% done, avg speed 570 kbps
Download 9% done, avg speed 672 kbps
Download 12% done, avg speed 703 kbps
Download 15% done, avg speed 732 kbps
Download 18% done, avg speed 784 kbps
Download 21% done, avg speed 857 kbps
Download 24% done, avg speed 895 kbps
Download 27% done, avg speed 884 kbps
Download 30% done, avg speed 868 kbps
Download 34% done, avg speed 885 kbps
Download 37% done, avg speed 818 kbps
Download 40% done, avg speed 818 kbps
Download 43% done, avg speed 849 kbps
Download 46% done, avg speed 885 kbps
Download 49% done, avg speed 920 kbps
Download 52% done, avg speed 929 kbps
Download 55% done, avg speed 937 kbps
Download 58% done, avg speed 946 kbps
Download 61% done, avg speed 957 kbps
Download 64% done, avg speed 878 kbps
Download 68% done, avg speed 696 kbps
Download 71% done, avg speed 611 kbps
Download 74% done, avg speed 564 kbps
Download 77% done, avg speed 550 kbps
Download 78% done, avg speed 543 kbps
Download 80% done, avg speed 526 kbps
Download 83% done, avg speed 534 kbps
Download 86% done, avg speed 542 kbps
Download 89% done, avg speed 548 kbps
Download 92% done, avg speed 553 kbps
Download 95% done, avg speed 556 kbps
Download 98% done, avg speed 557 kbps
Download 100% done, avg speed 563 kbps
Total time: 176.51619601249695

來源：

import subprocess
import time
import re

def run_wget(url, outfile):
    cmd = ['wget', '--progress=dot:mega', '-O', outfile, url]
    p = subprocess.Popen(cmd, stderr=subprocess.PIPE, universal_newlines=True)
    for stderr_line in iter(p.stderr.readline, ""):
        yield stderr_line
    p.stderr.close()
    return_code = p.wait()
    if return_code:
        raise subprocess.CalledProcessError(return_code, cmd)

url = "https://aspb2.cdn.asset.aparat.com/aparat-video/a5e07b7f62ffaad0c104763c23d7393215613675-1080p.mp4?wmsAuthSign=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0b2tlbiI6Ijg0ZTVmNjhhMGJkNDJlMmM0MWFjZjgyNzY5YWU4NmMzIiwiZXhwIjoxNjA1NzM3NjIxLCJpc3MiOiJTYWJhIElkZWEgR1NJRyJ9.eaqnWYevFhe-CHG1TGR3SuoTbnVNBEJmLj-ZSxjtNbY"
name = url.split('/')[-1].split('?')[0]
print(name)
file_size = None
start = time.time()

for line in run_wget(url, name):
    if file_size is None:
        m = re.match(r'Length: (\d+)', line)
        if m:
            file_size = int(m[1])
            print('file size =', file_size)
    else:
        m = re.search(r'(\d+)%', line)
        if m:
            pct_done = int(m[1])
            downloaded = file_size / 100 * pct_done
            elapsed = time.time() - start
            speed = round(downloaded / elapsed / 1024)
            print(f"Download {pct_done}% done, avg speed {speed} kbps")

print('Total time:', time.time() - start)

解決方案2
 0  2020-11-21 12:23:20

此問題可能出在服務器端，如果您的客戶端連接速度太慢，服務器可能會關閉請求。 在慢速移動連接上使用 python 下載大文件時，我遇到過這種情況。 我建議修改服務器的代碼庫或獲得更好的連接，盡管前者是更好的長期解決方案。

祝你好運

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