如何在 concurrent.futures 中獲取分析完成的未來的名稱？

Question

在尋找我的問題的答案（鏈接副本中的一個答案中提供了一個解決方案）時，我發現了concurrent.futures ，特別是concurrent.futures.as_completed 。

我最終得到的代碼（對於上下文：我需要在主程序中捕獲從該主程序啟動的線程中引發的異常）工作正常，除了我不知道如何重新附加到 function 的名稱在concurrent.futures.as_completed中被審查：

import concurrent.futures

class Checks:

    @staticmethod
    def isok():
        print("OK")

    @staticmethod
    def isko():
        raise Exception("KO")

# db will keep a map of method names in Check with the thread handler
db = {}

with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
    # get the names of the methods in Check, discarding the built-ion ones
    for check in [k for k in dir(Checks) if not k.startswith('_')]:
        db[check] = executor.submit(getattr(Checks, check))

# at that point I have a map of function_name_as_a_string -> thread handler
for future in concurrent.futures.as_completed([db[k] for k in db.keys()]):
    if future.exception():
        print(f"{str(future.exception())} was raised (I do not know where, somewhere)")
    else:
        print("success (again, I do not know where, exactly)")

# all the threads are finished at that point
print("all threads are done")

在成功/失敗輸出中，我知道一個方法是否存在異常。 我不知道是誰做了什么。

由於迭代必須通過線程處理程序，我無法找到一種方法來“注入”循環中的方法名稱以在print()中使用它 - 我該怎么做？

Answer 1

一種可能的解決方案是使用zip()並創建 (name, handler) 元組的迭代器：

import concurrent.futures

class Checks:

    @staticmethod
    def isok():
        print("OK")

    @staticmethod
    def isko():
        raise Exception("KO")

# db will keep a map of method namles in Check with the actual (executable) method
db = {}

with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
    for check in [k for k in dir(Checks) if not k.startswith('_')]:
        db[check] = executor.submit(getattr(Checks, check))

for name, handler in zip(db.keys(), concurrent.futures.as_completed([db[k] for k in db.keys()])):
    if handler.exception():
        print(f"{str(handler.exception())} was raised by {name}")
    else:
        print(f"success in {name}")

# all the threads are finished at that point
print("all threads are done")