asm_to_csv/my_utils.py

import logging
import os
import json

"""
日志工具

使用方法：
    logger = setup_logger(日志记录器的实例名字, 日志文件目录)
"""


def setup_logger(name, log_file, level=logging.INFO, reset=False):
    """Function setup as many loggers as you want"""
    if not os.path.exists(os.path.dirname(log_file)):
        os.makedirs(os.path.dirname(log_file))

    formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s')

    handler = logging.FileHandler(log_file)
    handler.setFormatter(formatter)

    # 控制台是否输出日志信息
    # stream_handler = logging.StreamHandler()
    # stream_handler.setFormatter(formatter)

    logger = logging.getLogger(name)
    logger.setLevel(level)
    logger.addHandler(handler)
    # 控制台
    # logger.addHandler(stream_handler)

    # 刷新原有log文件

    if reset:
        open(log_file, 'w').close()

    return logger


"""
多线程工具
"""
THREAD_FULL = os.cpu_count()
THREAD_HALF = int(os.cpu_count() / 2)


def multi_thread_order(func, args, thread_num=THREAD_FULL):
    """
    多线程执行函数
    :param func: 函数
    :param args: list函数参数
    :param thread_num: 线程数
    :return:
    """
    import concurrent.futures
    from tqdm import tqdm
    logger = setup_logger('multi_thread', './multi_thread.log')
    result = []
    with concurrent.futures.ThreadPoolExecutor(max_workers=thread_num) as executor:
        try:
            futures_to_args = {
                executor.submit(func, arg): arg for arg in args
            }
            for future in tqdm(concurrent.futures.as_completed(futures_to_args), total=len(args)):
                try:
                    result.append(future.result())
                except Exception as exc:
                    logger.error('%r generated an exception: %s' % (futures_to_args[future], exc))
        except Exception as exc:
            logger.error('%r generated an exception: %s' % (futures_to_args[future], exc))

    return result


def multi_thread_disorder(func, thread_num=THREAD_FULL, **args):
    import multiprocessing
    from tqdm import tqdm
    with multiprocessing.Pool(processes=thread_num) as pool:
        list(tqdm(pool.imap_unordered(func, args), total=len(args)))


def save_json(filename, data):
    data = json.dumps(data)
    file = open(filename, 'w')
    file.write(data)
    file.close()


def continuation_json(filename, data):
    data = json.dumps(data)
    file = open(filename, 'a')
    file.write(data)
    file.close()


def load_json(filename):
    file = open(filename, 'r')
    data = json.loads(file.read())
    file.close()
    return data