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Python 多處理不允許在創建進程后在主進程中打印

[英]Python Multiprocessing disallows printing in main process after processes are created

我試圖確保在開始流程之前正確設置了此代碼。 添加一些打印語句后,我發現只有“外部”和“內部”在打印,我不明白為什么其他打印語句沒有執行。

import multiprocessing
from itertools import product

retailer_ids = [41, 499]  # defined retailers
product_ids = [4, 5, 10, 11, 12]  # ProductIDs to search on
NUMBER_OF_PROCESSES = 2

retailer_products = list(product(retailer_ids, product_ids))

# Start processing the retailer/product combinations
for i in range(0, len(retailer_products), NUMBER_OF_PROCESSES):
    print('outer')
    try:
        current_processes = []
        for j in range(0, NUMBER_OF_PROCESSES):
            print('inner')
            process = multiprocessing.Process(scrape_retailer_product, retailer_products[i+j])
            #process.start()
            current_processes.append(process)
        # wait for current process to finish before starting more
        print('waiting for processes to complete')
        for p in current_processes:
            p.join()

        print('completed')

    # something bad happened during process creation or a
    # a scrape process returned with an exception it could not handle
    except Exception as e:
        for p in current_processes:
            p.terminate()
            print('term')
            exit()

問題是您正在捕獲所有異常。 因此,您的代碼沒有將正確的 arguments 傳遞給Process構造函數(生成AssertionError ),但是您的catch語句正在靜默處理異常。

當前的例外是:

Traceback (most recent call last):
  File "C:\Users\MiguelAngel\Downloads\test.py", line 19, in <module>
    process = multiprocessing.Process(scrape_retailer_product, args=(retailer_products[i+j]))
  File "C:\Users\MiguelAngel\AppData\Local\Programs\Python\Python38-32\lib\multiprocessing\process.py", line 82, in __init__
    assert group is None, 'group argument must be None for now'
AssertionError: group argument must be None for now

我想scrape_retailer_product是應該在新進程中執行的 function。 因此,根據文檔,對構造函數的調用應該是:

process = multiprocessing.Process(target=scrape_retailer_product, 
                                  args=(retailer_products[i+j],))

如果要捕獲所有多處理異常,則應捕獲multiprocessing.ProcessError 根據文檔,它是所有多處理異常的基礎 class 。

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