Python 异步调用分离函数

Question

I have 4 functions as follows, 3 of them call an external apis to fetch random data:

def get_external_data(zip_code, info_code):
    data_url = MY_ENDPOINT_1.format(zip_code)
    data_response = requests.request(
        'GET',
        url=data_url,
        headers={
            'content-Type': 'application/json',
            'info-code': info_code
        }
    )
    return data_response

def get_info(info_code):
    info_url = INFO_URL.format(info_code)
    info_response = requests.request(
        'GET',
        url=info_url,
        headers={
            'content-Type': 'application/json',
            'info-code': info_code
        }
    )
    return info_response

def get_zip(zip_code):
    zip_url = zip_URL.format(zip_code)
    zip_response = requests.request(
        'GET',
        url=zip_url,
        headers={
            'content-Type': 'application/json',
            'zip-code': zip_code
        }
    )
    return zip_response

def get_all_data(info_cd, zip_code):
    data_response = get_external_data(zip_code, info_cd)
    info_response = get_info(info_cd)
    zip_response = get_zip(zip_code)
    return data_response, info_response, zip_response

I am trying to achieve 3 asynchronous calls by calling the 3 data functions using concurrent.futures in the get_all_data() function. From the docs i understand that we can thread one function with a list of inputs as follows:

resp_list = list()
# Asynchronous
with ThreadPoolExecutor(max_workers=3) as executor:
    thread_responses = executor.map(self.get_info, info_list)
    for x in thread_responses:
        resp_list.append(x)

But how will i achieve 3 threads in this particular situation with 3 different functions with different inputs?

Answer 1

You can make each call in its own thread using executor.submit , like this:

with ThreadPoolExecutor(max_workers=3) as executor:
    data_future = executor.submit(get_external_data, zip_code, info_cd)
    info_future = executor.submit(get_info, info_cd)
    zip_future = executor.submit(get_zip, zip_code)
    # and then collect results
    results = [
        f.result()
        for f in (data_future, info_future, zip_future)
    ]

See related docs: https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.Executor.submit