最方便最好看最好用的python日志。
这个日志没有依赖自己的其他包，复制即可运行，也可以从pypi网站上下载或者pip来安装这个日志。
1、日志内置了7种模板，其中模版4和模板5，可以实现点击日志跳转到指定文件指定行数的功能，史无前例的实现这种方式。
2、使用了ColorHandler作为默认的控制台显示日志，而不是使用官方的StramHandler，实现五颜六色的日志，在茫茫大海的日志中一眼就能看出哪些是调试日志，哪些是错误日志哪些是警告日志和严重日志。绿色代表debug，天蓝色代表info，黄色代表warning，粉红色代表错误，血红色代表严重错误，颜色符合正常逻辑，具体的颜色显示业余自己设置的pycharm主题和配色有关，建议使用黑色主题，具体的颜色显示与pycahrm版本也有一些关系。
3、实现了进程安全的日志切片，引用的是第三方的Handler
4、添加了对国内邮箱 qq 163等支持的mailhandler，并且支持邮件发送控频。
5、添加了MongoHanler，可以自动拆分日志字段插入mongo
6.1、以上这些handler都不需要去手动调用添加各种handler，都是通过传参的方式，如，设置了文件名那么自动生成文件日志，添加了mongo的url登录链接，则添加mongohandler，以此类推。
6.2、要搞清楚为啥logger和各种handler，要弄清楚日志命名空间，各种handler的关系和logger的关系必须弄清楚23种设计模式的观察者模式，搞清楚这个模式了，就可以自己扩展各种各样的handler来满足自己的需求。
为什么要使用日志呢，
之前同事全部print，十分蛋疼，项目有几十万行，一运行起来，各种地方嵌套import各种模块，到处去print，十分操蛋，完全不知道哪里冒出来的日志，不好禁止，扩展不了各种handler，总之比日志差太多了。。
拿print当做日志用是属于py很初级的表现。
这个很长，是加了很多种handler，和同类型handler自动去重。
简化版的是打猴子补丁自动变彩，不需要使用这个日志了。
# coding=utf8 """ 日志管理，支持日志打印到控制台和写入切片文件和mongodb和email和钉钉机器人和elastic和kafka。 使用方式为 logger = LogManager('logger_name').get_and_add_handlers(log_level_int=1, is_add_stream_handler=True, log_path=None, log_filename=None, log_file_size=10,mongo_url=None,formatter_template=2) 或者 logger = LogManager('logger_name').get_without_handlers(),此种没有handlers不立即记录日志，之后可以在单独统一的总闸处对所有日志根据loggerame进行get_and_add_handlers添加相关的各种handlers 创建一个邮件日志的用法为 logger = LogManager.bulid_a_logger_with_mail_handler('mail_logger_name', mail_time_interval=10, toaddrs=('909686xxx@qq.com', 'yangxx4508@dingtalk.com',subject='你的主题)),使用了独立的创建方式 concurrent_log_handler的ConcurrentRotatingFileHandler解决了logging模块自带的RotatingFileHandler多进程切片错误，此ConcurrentRotatingFileHandler在win和linux多进程场景下log文件切片都ok. 1、根据日志级别，使用coolorhanlder代替straemhandler打印5种颜色的日志，一目了然哪里是严重的日志。 2、带有多种handler，邮件 mongo stream file的。 3、支持pycharm点击日志跳转到对应代码文件的对应行。 4、对相同命名空间的logger可以无限添加同种类型的handlers，不会重复使用同种handler记录日志。不需要用户自己去判断。 """ import json import traceback from queue import Queue import socket import datetime import sys import os from elasticsearch import Elasticsearch, helpers from threading import Lock, Thread import unittest import time from collections import OrderedDict import pymongo import logging from logging import handlers from concurrent_log_handler import ConcurrentRotatingFileHandler # 需要安装。concurrent-log-handler==0.9.1 from kafka import KafkaProducer from app import config as app_config os_name = os.name DING_TALK_TOKEN = '3ddxxxxxxxxx' # 钉钉报警机器人 EMAIL_HOST = ('smtp.sohu.com', 465) EMAIL_FROMADDR = 'yxx@sohu.com' EMAIL_TOADDRS = ('chao.xx@ab.com', 'yxx@cd.com',) EMAIL_CREDENTIALS = ('yxx@sohu.com', 'acb1xxx') # ELASTIC_HOST = '1xx.90.89.xx' ELASTIC_PORT = 9200 ALWAYS_ADD_ES_HANDLER_IN_TEST_ENVIRONENT = True KAFKA_BOOTSTRAP_SERVERS = ['1xx.90.89.xx:9092'] # noinspection PyProtectedMember,PyUnusedLocal,PyIncorrectDocstring def very_nb_print(*args, sep=' ', end='\n', file=None): """ 超流弊的print补丁 :param x: :return: """ # 获取被调用函数在被调用时所处代码行数 line = sys._getframe().f_back.f_lineno # 获取被调用函数所在模块文件名 file_name = sys._getframe(1).f_code.co_filename # sys.stdout.write(f'"{__file__}:{sys._getframe().f_lineno}" {x}\n') args = (str(arg) for arg in args) # REMIND 防止是数字不能被join sys.stdout.write(f'"{file_name}:{line}" {time.strftime("%H:%M:%S")} \033[0;94m{"".join(args)}\033[0m\n') # 36 93 96 94 # noinspection PyShadowingBuiltins # print = very_nb_print formatter_dict = { 1: logging.Formatter( '日志时间【%(asctime)s】 - 日志名称【%(name)s】 - 文件【%(filename)s】 - 第【%(lineno)d】行 - 日志等级【%(levelname)s】 - 日志信息【%(message)s】', "%Y-%m-%d %H:%M:%S"), 2: logging.Formatter( '%(asctime)s - %(name)s - %(filename)s - %(funcName)s - %(lineno)d - %(levelname)s - %(message)s', "%Y-%m-%d %H:%M:%S"), 3: logging.Formatter( '%(asctime)s - %(name)s - 【 File "%(pathname)s", line %(lineno)d, in %(funcName)s 】 - %(levelname)s - %(message)s', "%Y-%m-%d %H:%M:%S"), # 一个模仿traceback异常的可跳转到打印日志地方的模板 4: logging.Formatter( '%(asctime)s - %(name)s - "%(filename)s" - %(funcName)s - %(lineno)d - %(levelname)s - %(message)s - File "%(pathname)s", line %(lineno)d ', "%Y-%m-%d %H:%M:%S"), # 这个也支持日志跳转 5: logging.Formatter( '%(asctime)s - %(name)s - "%(pathname)s:%(lineno)d" - %(funcName)s - %(levelname)s - %(message)s', "%Y-%m-%d %H:%M:%S"), # 我认为的最好的模板,推荐 6: logging.Formatter('%(name)s - %(asctime)-15s - %(filename)s - %(lineno)d - %(levelname)s: %(message)s', "%Y-%m-%d %H:%M:%S"), 7: logging.Formatter('%(levelname)s - %(filename)s - %(lineno)d - %(message)s'), # 一个只显示简短文件名和所处行数的日志模板 } # noinspection PyMissingOrEmptyDocstring class LogLevelException(Exception): def __init__(self, log_level): err = '设置的日志级别是 {0}， 设置错误，请设置为1 2 3 4 5 范围的数字'.format(log_level) Exception.__init__(self, err) # noinspection PyMissingOrEmptyDocstring class MongoHandler(logging.Handler): """ 一个mongodb的log handler,支持日志按loggername创建不同的集合写入mongodb中 """ # msg_pattern = re.compile('(\d+-\d+-\d+ \d+:\d+:\d+) - (\S*?) - (\S*?) - (\d+) - (\S*?) - ([\s\S]*)') def __init__(self, mongo_url, mongo_database='logs'): """ :param mongo_url: mongo连接 :param mongo_database: 保存日志的数据库，默认使用logs数据库 """ logging.Handler.__init__(self) mongo_client = pymongo.MongoClient(mongo_url) self.mongo_db = mongo_client.get_database(mongo_database) def emit(self, record): # noinspection PyBroadException, PyPep8 try: """以下使用解析日志模板的方式提取出字段""" # msg = self.format(record) # logging.LogRecord # msg_match = self.msg_pattern.search(msg) # log_info_dict = {'time': msg_match.group(1), # 'name': msg_match.group(2), # 'file_name': msg_match.group(3), # 'line_no': msg_match.group(4), # 'log_level': msg_match.group(5), # 'detail_msg': msg_match.group(6), # } level_str = None if record.levelno == 10: level_str = 'DEBUG' elif record.levelno == 20: level_str = 'INFO' elif record.levelno == 30: level_str = 'WARNING' elif record.levelno == 40: level_str = 'ERROR' elif record.levelno == 50: level_str = 'CRITICAL' log_info_dict = OrderedDict() log_info_dict['time'] = time.strftime('%Y-%m-%d %H:%M:%S') log_info_dict['name'] = record.name log_info_dict['file_path'] = record.pathname log_info_dict['file_name'] = record.filename log_info_dict['func_name'] = record.funcName log_info_dict['line_no'] = record.lineno log_info_dict['log_level'] = level_str log_info_dict['detail_msg'] = record.msg col = self.mongo_db.get_collection(record.name) col.insert_one(log_info_dict) except (KeyboardInterrupt, SystemExit): raise except Exception: self.handleError(record) class KafkaHandler(logging.Handler): """ 日志批量写入kafka中。 """ ES_INTERVAL_SECONDS = 0.5 host_name = socket.gethostname() host_process = f'{host_name} -- {os.getpid()}' script_name = sys.argv[0] task_queue = Queue() last_es_op_time = time.time() has_start_do_bulk_op = False kafka_producer = None es_index_prefix = 'pylog-' def __init__(self, bootstrap_servers, **configs): """ :param elastic_hosts: es的ip地址，数组类型 :param elastic_port： es端口 :param index_prefix: index名字前缀。 """ logging.Handler.__init__(self) producer = KafkaProducer(bootstrap_servers=bootstrap_servers, **configs) if not self.__class__.kafka_producer: self.__class__.kafka_producer = producer t = Thread(target=self._do_bulk_op) t.setDaemon(True) t.start() @classmethod def __add_task_to_bulk(cls, task): cls.task_queue.put(task) # noinspection PyUnresolvedReferences @classmethod def __clear_bulk_task(cls): cls.task_queue.queue.clear() @classmethod def _do_bulk_op(cls): if cls.has_start_do_bulk_op: return cls.has_start_do_bulk_op = True # very_nb_print(cls.kafka_producer) while 1: try: if cls.task_queue.qsize() > 10000: very_nb_print('kafka防止意外日志积累太多了，内存泄漏') cls.__clear_bulk_task() return # noinspection PyUnresolvedReferences tasks = list(cls.task_queue.queue) cls.__clear_bulk_task() for task in tasks: topic = (cls.es_index_prefix + task['name']).replace('.', '').replace('_', '').replace('-', '') # very_nb_print(topic) cls.kafka_producer.send(topic, json.dumps(task).encode()) cls.last_es_op_time = time.time() except Exception as e: very_nb_print(e) finally: time.sleep(cls.ES_INTERVAL_SECONDS) def emit(self, record): # noinspection PyBroadException, PyPep8 try: level_str = None if record.levelno == 10: level_str = 'DEBUG' elif record.levelno == 20: level_str = 'INFO' elif record.levelno == 30: level_str = 'WARNING' elif record.levelno == 40: level_str = 'ERROR' elif record.levelno == 50: level_str = 'CRITICAL' log_info_dict = OrderedDict() log_info_dict['@timestamp'] = datetime.datetime.utcfromtimestamp(record.created).isoformat() log_info_dict['time'] = time.strftime('%Y-%m-%d %H:%M:%S') log_info_dict['name'] = record.name log_info_dict['host'] = self.host_name log_info_dict['host_process'] = self.host_process log_info_dict['file_path'] = record.pathname log_info_dict['file_name'] = record.filename log_info_dict['func_name'] = record.funcName log_info_dict['line_no'] = record.lineno log_info_dict['log_level'] = level_str log_info_dict['msg'] = str(record.msg) log_info_dict['script'] = self.script_name log_info_dict['es_index'] = f'{self.es_index_prefix}{record.name.lower()}' self.__add_task_to_bulk(log_info_dict) except (KeyboardInterrupt, SystemExit): raise except Exception: self.handleError(record) class ElasticHandler000(logging.Handler): """ 日志批量写入es中。 """ ES_INTERVAL_SECONDS = 2 host_name = socket.gethostname() def __init__(self, elastic_hosts: list, elastic_port, index_prefix='pylog-'): """ :param elastic_hosts: es的ip地址，数组类型 :param elastic_port： es端口 :param index_prefix: index名字前缀。 """ logging.Handler.__init__(self) self._es_client = Elasticsearch(elastic_hosts, port=elastic_port) self._index_prefix = index_prefix self._task_list = [] self._task_queue = Queue() self._last_es_op_time = time.time() t = Thread(target=self._do_bulk_op) t.setDaemon(True) t.start() def __add_task_to_bulk(self, task): self._task_queue.put(task) def __clear_bulk_task(self): # noinspection PyUnresolvedReferences self._task_queue.queue.clear() def _do_bulk_op(self): while 1: try: if self._task_queue.qsize() > 10000: very_nb_print('防止意外日志积累太多了，不插入es了。') self.__clear_bulk_task() return # noinspection PyUnresolvedReferences tasks = list(self._task_queue.queue) self.__clear_bulk_task() helpers.bulk(self._es_client, tasks) self._last_es_op_time = time.time() except Exception as e: very_nb_print(e) finally: time.sleep(1) def emit(self, record): # noinspection PyBroadException, PyPep8 try: level_str = None if record.levelno == 10: level_str = 'DEBUG' elif record.levelno == 20: level_str = 'INFO' elif record.levelno == 30: level_str = 'WARNING' elif record.levelno == 40: level_str = 'ERROR' elif record.levelno == 50: level_str = 'CRITICAL' log_info_dict = OrderedDict() log_info_dict['@timestamp'] = datetime.datetime.utcfromtimestamp(record.created).isoformat() log_info_dict['time'] = time.strftime('%Y-%m-%d %H:%M:%S') log_info_dict['name'] = record.name log_info_dict['host'] = self.host_name log_info_dict['file_path'] = record.pathname log_info_dict['file_name'] = record.filename log_info_dict['func_name'] = record.funcName log_info_dict['line_no'] = record.lineno log_info_dict['log_level'] = level_str log_info_dict['msg'] = str(record.msg) self.__add_task_to_bulk({ "_index": f'{self._index_prefix}{record.name.lower()}', "_type": f'{self._index_prefix}{record.name.lower()}', "_source": log_info_dict }) # self.__add_task_to_bulk({ # "_index": f'{self._index_prefix}{record.name.lower()}', # "_type": f'{self._index_prefix}{record.name.lower()}', # "_source": log_info_dict # }) # if time.time() - self._last_es_op_time > self.ES_INTERVAL_SECONDS: # self._do_bulk_op() except (KeyboardInterrupt, SystemExit): raise except Exception: self.handleError(record) # noinspection PyUnresolvedReferences class ElasticHandler(logging.Handler): """ 日志批量写入es中。 """ ES_INTERVAL_SECONDS = 0.5 host_name = socket.gethostname() host_process = f'{host_name} -- {os.getpid()}' script_name = sys.argv[0] task_queue = Queue() last_es_op_time = time.time() has_start_do_bulk_op = False def __init__(self, elastic_hosts: list, elastic_port, index_prefix='pylog-'): """ :param elastic_hosts: es的ip地址，数组类型 :param elastic_port： es端口 :param index_prefix: index名字前缀。 """ logging.Handler.__init__(self) self._es_client = Elasticsearch(elastic_hosts, port=elastic_port) self._index_prefix = index_prefix t = Thread(target=self._do_bulk_op) t.setDaemon(True) t.start() @classmethod def __add_task_to_bulk(cls, task): cls.task_queue.put(task) # noinspection PyUnresolvedReferences @classmethod def __clear_bulk_task(cls): cls.task_queue.queue.clear() def _do_bulk_op(self): if self.__class__.has_start_do_bulk_op: return self.__class__.has_start_do_bulk_op = True while 1: try: if self.__class__.task_queue.qsize() > 10000: very_nb_print('防止意外日志积累太多了，不插入es了。') self.__clear_bulk_task() return tasks = list(self.__class__.task_queue.queue) self.__clear_bulk_task() helpers.bulk(self._es_client, tasks) self.__class__.last_es_op_time = time.time() except Exception as e: very_nb_print(e) finally: time.sleep(self.ES_INTERVAL_SECONDS) def emit(self, record): # noinspection PyBroadException, PyPep8 try: level_str = None if record.levelno == 10: level_str = 'DEBUG' elif record.levelno == 20: level_str = 'INFO' elif record.levelno == 30: level_str = 'WARNING' elif record.levelno == 40: level_str = 'ERROR' elif record.levelno == 50: level_str = 'CRITICAL' log_info_dict = OrderedDict() log_info_dict['@timestamp'] = datetime.datetime.utcfromtimestamp(record.created).isoformat() log_info_dict['time'] = time.strftime('%Y-%m-%d %H:%M:%S') log_info_dict['name'] = record.name log_info_dict['host'] = self.host_name log_info_dict['host_process'] = self.host_process log_info_dict['file_path'] = record.pathname log_info_dict['file_name'] = record.filename log_info_dict['func_name'] = record.funcName log_info_dict['line_no'] = record.lineno log_info_dict['log_level'] = level_str log_info_dict['msg'] = str(record.msg) log_info_dict['script'] = self.script_name self.__add_task_to_bulk({ "_index": f'{self._index_prefix}{record.name.lower()}', "_type": f'{self._index_prefix}{record.name.lower()}', "_source": log_info_dict }) # self.__add_task_to_bulk({ # "_index": f'{self._index_prefix}{record.name.lower()}', # "_type": f'{self._index_prefix}{record.name.lower()}', # "_source": log_info_dict # }) # if time.time() - self._last_es_op_time > self.ES_INTERVAL_SECONDS: # self._do_bulk_op() except (KeyboardInterrupt, SystemExit): raise except Exception: self.handleError(record) class ColorHandler000(logging.Handler): """彩色日志handler，根据不同级别的日志显示不同颜色""" bule = 96 if os_name == 'nt' else 36 yellow = 93 if os_name == 'nt' else 33 def __init__(self): logging.Handler.__init__(self) self.formatter_new = logging.Formatter( '%(asctime)s - %(name)s - "%(filename)s" - %(funcName)s - %(lineno)d - %(levelname)s - %(message)s', "%Y-%m-%d %H:%M:%S") # 对控制台日志单独优化显示和跳转，单独对字符串某一部分使用特殊颜色，主要用于第四种模板，以免filehandler和mongohandler中带有\033 @classmethod def _my_align(cls, string, length): if len(string) > length * 2: return string custom_length = 0 for w in string: custom_length += 1 if cls._is_ascii_word(w) else 2 if custom_length < length: place_length = length - custom_length string += ' ' * place_length return string @staticmethod def _is_ascii_word(w): if ord(w) < 128: return True def emit(self, record): """ 30 40 黑色 31 41 红色 32 42 绿色 33 43 黃色 34 44 蓝色 35 45 紫红色 36 46 青蓝色 37 47 白色 :type record:logging.LogRecord :return: """ if self.formatter is formatter_dict[4] or self.formatter is self.formatter_new: self.formatter = self.formatter_new if os.name == 'nt': self.__emit_for_fomatter4_pycahrm(record) # 使用模板4并使用pycharm时候 else: self.__emit_for_fomatter4_linux(record) # 使用模板4并使用linux时候 else: self.__emit(record) # 其他模板 def __emit_for_fomatter4_linux(self, record): """ 当使用模板4针对linxu上的终端打印优化显示 :param record: :return: """ # noinspection PyBroadException,PyPep8 try: msg = self.format(record) file_formatter = ' ' * 10 + '\033[7mFile "%s", line %d\033[0m' % (record.pathname, record.lineno) if record.levelno == 10: print('\033[0;32m%s' % self._my_align(msg, 150) + file_formatter) elif record.levelno == 20: print('\033[0;34m%s' % self._my_align(msg, 150) + file_formatter) elif record.levelno == 30: print('\033[0;33m%s' % self._my_align(msg, 150) + file_formatter) elif record.levelno == 40: print('\033[0;35m%s' % self._my_align(msg, 150) + file_formatter) elif record.levelno == 50: print('\033[0;31m%s' % self._my_align(msg, 150) + file_formatter) except (KeyboardInterrupt, SystemExit): raise except Exception: self.handleError(record) def __emit_for_fomatter4_pycahrm(self, record): """ 当使用模板4针对pycahrm的打印优化显示 :param record: :return: """ # \033[0;93;107mFile "%(pathname)s", line %(lineno)d, in %(funcName)s\033[0m # noinspection PyBroadException try: msg = self.format(record) # for_linux_formatter = ' ' * 10 + '\033[7m;File "%s", line %d\033[0m' % (record.pathname, record.lineno) file_formatter = ' ' * 10 + '\033[0;93;107mFile "%s", line %d\033[0m' % (record.pathname, record.lineno) if record.levelno == 10: print('\033[0;32m%s\033[0m' % self._my_align(msg, 200) + file_formatter) # 绿色 elif record.levelno == 20: print('\033[0;36m%s\033[0m' % self._my_align(msg, 200) + file_formatter) # 青蓝色 elif record.levelno == 30: print('\033[0;92m%s\033[0m' % self._my_align(msg, 200) + file_formatter) # 蓝色 elif record.levelno == 40: print('\033[0;35m%s\033[0m' % self._my_align(msg, 200) + file_formatter) # 紫红色 elif record.levelno == 50: print('\033[0;31m%s\033[0m' % self._my_align(msg, 200) + file_formatter) # 血红色 except (KeyboardInterrupt, SystemExit): raise except: # NOQA self.handleError(record) def __emit(self, record): # noinspection PyBroadException try: msg = self.format(record) if record.levelno == 10: print('\033[0;32m%s\033[0m' % msg) # 绿色 elif record.levelno == 20: print('\033[0;%sm%s\033[0m' % (self.bule, msg)) # 青蓝色 36 96 elif record.levelno == 30: print('\033[0;%sm%s\033[0m' % (self.yellow, msg)) elif record.levelno == 40: print('\033[0;35m%s\033[0m' % msg) # 紫红色 elif record.levelno == 50: print('\033[0;31m%s\033[0m' % msg) # 血红色 except (KeyboardInterrupt, SystemExit): raise except: # NOQA self.handleError(record) class ColorHandler(logging.Handler): """ A handler class which writes logging records, appropriately formatted, to a stream. Note that this class does not close the stream, as sys.stdout or sys.stderr may be used. """ terminator = '\n' bule = 96 if os_name == 'nt' else 36 yellow = 93 if os_name == 'nt' else 33 def __init__(self, stream=None, is_pycharm_2019=False): """ Initialize the handler. If stream is not specified, sys.stderr is used. """ logging.Handler.__init__(self) if stream is None: stream = sys.stdout # stderr无彩。 self.stream = stream self._is_pycharm_2019 = is_pycharm_2019 self._display_method = 7 if os_name == 'posix' else 0 def flush(self): """ Flushes the stream. """ self.acquire() try: if self.stream and hasattr(self.stream, "flush"): self.stream.flush() finally: self.release() def emit0(self, record): """ Emit a record. If a formatter is specified, it is used to format the record. The record is then written to the stream with a trailing newline. If exception information is present, it is formatted using traceback.print_exception and appended to the stream. If the stream has an 'encoding' attribute, it is used to determine how to do the output to the stream. """ # noinspection PyBroadException try: msg = self.format(record) stream = self.stream if record.levelno == 10: # msg_color = ('\033[0;32m%s\033[0m' % msg) # 绿色 msg_color = ('\033[%s;%sm%s\033[0m' % (self._display_method, 34 if self._is_pycharm_2019 else 32, msg)) # 绿色 elif record.levelno == 20: msg_color = ('\033[%s;%sm%s\033[0m' % (self._display_method, self.bule, msg)) # 青蓝色 36 96 elif record.levelno == 30: msg_color = ('\033[%s;%sm%s\033[0m' % (self._display_method, self.yellow, msg)) elif record.levelno == 40: msg_color = ('\033[%s;35m%s\033[0m' % (self._display_method, msg)) # 紫红色 elif record.levelno == 50: msg_color = ('\033[%s;31m%s\033[0m' % (self._display_method, msg)) # 血红色 else: msg_color = msg # print(msg_color,'***************') stream.write(msg_color) stream.write(self.terminator) self.flush() except Exception: self.handleError(record) def emit(self, record): """ Emit a record. If a formatter is specified, it is used to format the record. The record is then written to the stream with a trailing newline. If exception information is present, it is formatted using traceback.print_exception and appended to the stream. If the stream has an 'encoding' attribute, it is used to determine how to do the output to the stream. """ # noinspection PyBroadException try: # very_nb_print(record) msg = self.format(record) stream = self.stream msg1, msg2 = self.__spilt_msg(record.levelno, msg) if record.levelno == 10: # msg_color = ('\033[0;32m%s\033[0m' % msg) # 绿色 msg_color = f'\033[0;32m{msg1}\033[0m \033[7;32m{msg2}\033[0m' # 绿色 elif record.levelno == 20: # msg_color = ('\033[%s;%sm%s\033[0m' % (self._display_method, self.bule, msg)) # 青蓝色 36 96 msg_color = f'\033[0;{self.bule}m{msg1}\033[0m \033[7;{self.bule}m{msg2}\033[0m' elif record.levelno == 30: # msg_color = ('\033[%s;%sm%s\033[0m' % (self._display_method, self.yellow, msg)) msg_color = f'\033[0;{self.yellow}m{msg1}\033[0m \033[7;{self.yellow}m{msg2}\033[0m' elif record.levelno == 40: # msg_color = ('\033[%s;35m%s\033[0m' % (self._display_method, msg)) # 紫红色 msg_color = f'\033[0;35m{msg1}\033[0m \033[7;35m{msg2}\033[0m' elif record.levelno == 50: # msg_color = ('\033[%s;31m%s\033[0m' % (self._display_method, msg)) # 血红色 msg_color = f'\033[0;31m{msg1}\033[0m \033[7;31m{msg2}\033[0m' else: msg_color = msg # print(msg_color,'***************') stream.write(msg_color) stream.write(self.terminator) self.flush() except Exception as e: very_nb_print(e) very_nb_print(traceback.format_exc()) # self.handleError(record) @staticmethod def __spilt_msg(log_level, msg: str): split_text = '- 级别 -' if log_level == 10: split_text = '- DEBUG -' elif log_level == 20: split_text = '- INFO -' elif log_level == 30: split_text = '- WARNING -' elif log_level == 40: split_text = '- ERROR -' elif log_level == 50: split_text = '- CRITICAL -' msg_split = msg.split(split_text, maxsplit=1) return msg_split[0] + split_text, msg_split[-1] def __repr__(self): level = logging.getLevelName(self.level) name = getattr(self.stream, 'name', '') if name: name += ' ' return '<%s %s(%s)>' % (self.__class__.__name__, name, level) class CompatibleSMTPSSLHandler(handlers.SMTPHandler): """ 官方的SMTPHandler不支持SMTP_SSL的邮箱，这个可以两个都支持,并且支持邮件发送频率限制 """ def __init__(self, mailhost, fromaddr, toaddrs: tuple, subject, credentials=None, secure=None, timeout=5.0, is_use_ssl=True, mail_time_interval=0): """ :param mailhost: :param fromaddr: :param toaddrs: :param subject: :param credentials: :param secure: :param timeout: :param is_use_ssl: :param mail_time_interval: 发邮件的时间间隔，可以控制日志邮件的发送频率，为0不进行频率限制控制，如果为60，代表1分钟内最多发送一次邮件 """ # noinspection PyCompatibility # very_nb_print(credentials) super().__init__(mailhost, fromaddr, toaddrs, subject, credentials, secure, timeout) self._is_use_ssl = is_use_ssl self._current_time = 0 self._time_interval = 3600 if mail_time_interval < 3600 else mail_time_interval # 60分钟发一次群发邮件，以后用钉钉代替邮件，邮件频率限制的太死了。 self._msg_map = dict() # 是一个内容为键时间为值得映射 self._lock = Lock() def emit0(self, record: logging.LogRecord): """ 不用这个判断内容 """ from threading import Thread if sys.getsizeof(self._msg_map) > 10 * 1000 * 1000: self._msg_map.clear() if record.msg not in self._msg_map or time.time() - self._msg_map[record.msg] > self._time_interval: self._msg_map[record.msg] = time.time() # print('发送邮件成功') Thread(target=self.__emit, args=(record,)).start() else: very_nb_print(f' 邮件发送太频繁间隔不足60分钟，此次不发送这个邮件内容： {record.msg} ') def emit(self, record: logging.LogRecord): """ Emit a record. Format the record and send it to the specified addressees. """ from threading import Thread with self._lock: if time.time() - self._current_time > self._time_interval: self._current_time = time.time() Thread(target=self.__emit, args=(record,)).start() else: very_nb_print(f' 邮件发送太频繁间隔不足60分钟，此次不发送这个邮件内容： {record.msg} ') def __emit(self, record): # noinspection PyBroadException try: import smtplib from email.message import EmailMessage import email.utils t_start = time.time() port = self.mailport if not port: port = smtplib.SMTP_PORT smtp = smtplib.SMTP_SSL(self.mailhost, port, timeout=self.timeout) if self._is_use_ssl else smtplib.SMTP( self.mailhost, port, timeout=self.timeout) msg = EmailMessage() msg['From'] = self.fromaddr msg['To'] = ','.join(self.toaddrs) msg['Subject'] = self.getSubject(record) msg['Date'] = email.utils.localtime() msg.set_content(self.format(record)) if self.username: if self.secure is not None: smtp.ehlo() smtp.starttls(*self.secure) smtp.ehlo() smtp.login(self.username, self.password) smtp.send_message(msg) smtp.quit() # noinspection PyPep8 very_nb_print( f'发送邮件给 {self.toaddrs} 成功，' f'用时{round(time.time() - t_start, 2)} ,发送的内容是--> {record.msg} \033[0;35m!!!请去邮箱检查，可能在垃圾邮件中\033[0m') except Exception as e: # self.handleError(record) very_nb_print( f'[log_manager.py] {time.strftime("%H:%M:%S", time.localtime())} \033[0;31m !!!!!! 邮件发送失败,原因是： {e} \033[0m') class DingTalkHandler(logging.Handler): def __init__(self, ding_talk_token=None, time_interval=60): super().__init__() self._ding_talk_url = f'https://oapi.dingtalk.com/robot/send?access_token={ding_talk_token}' self._current_time = 0 self._time_interval = time_interval # 最好别频繁发。 self._lock = Lock() def emit(self, record): # from threading import Thread with self._lock: if time.time() - self._current_time > self._time_interval: # very_nb_print(self._current_time) self.__emit(record) # Thread(target=self.__emit, args=(record,)).start() self._current_time = time.time() else: very_nb_print(f' 此次离上次发送钉钉消息时间间隔不足 {self._time_interval} 秒，此次不发送这个钉钉内容： {record.msg} ') def __emit(self, record): import requests message = self.format(record) data = {"msgtype": "text", "text": {"content": message, "title": '这里的标题能起作用吗？？'}} try: resp = requests.post(self._ding_talk_url, json=data, timeout=(30, 40)) very_nb_print(f'钉钉返回 ： {resp.text}') except requests.RequestException as e: very_nb_print(f"发送消息给钉钉机器人失败 {e}") def revision_call_handlers(self, record): # 对logging标准模块打猴子补丁。主要是使父命名空间的handler不重复记录当前命名空间日志已有种类的handler。 """ 重要。这可以使同名logger或父logger随意添加同种类型的handler，确保不会重复打印。 :param self: :param record: :return: """ """ Pass a record to all relevant handlers. Loop through all handlers for this logger and its parents in the logger hierarchy. If no handler was found, output a one-off error message to sys.stderr. Stop searching up the hierarchy whenever a logger with the "propagate" attribute set to zero is found - that will be the last logger whose handlers are called. """ c = self found = 0 hdlr_type_set = set() while c: for hdlr in c.handlers: hdlr_type = type(hdlr) if hdlr_type == ColorHandler: hdlr_type = logging.StreamHandler found = found + 1 if record.levelno >= hdlr.level: if hdlr_type not in hdlr_type_set: hdlr.handle(record) hdlr_type_set.add(hdlr_type) if not c.propagate: c = None # break out else: c = c.parent # noinspection PyRedundantParentheses if (found == 0): if logging.lastResort: if record.levelno >= logging.lastResort.level: logging.lastResort.handle(record) elif logging.raiseExceptions and not self.manager.emittedNoHandlerWarning: sys.stderr.write("No handlers could be found for logger" " \"%s\"\n" % self.name) self.manager.emittedNoHandlerWarning = True logging.Logger.callHandlers = revision_call_handlers # 打猴子补丁。 # noinspection PyTypeChecker def get_logs_dir_by_folder_name(folder_name='/app/'): """获取app文件夹的路径,如得到这个路径 D:/coding/hotel_fares/app 如果没有app文件夹，就在当前文件夹新建 """ three_parts_str_tuple = (os.path.dirname(__file__).replace('\\', '/').partition(folder_name)) # print(three_parts_str_tuple) if three_parts_str_tuple[1]: return three_parts_str_tuple[0] + three_parts_str_tuple[1] + 'logs/' # noqa else: return three_parts_str_tuple[0] + '/logs/' # NOQA def get_logs_dir_by_disk_root(): """ 返回磁盘根路径下的pythonlogs文件夹,当使用文件日志时候自动创建这个文件夹。 :return: """ from pathlib import Path return str(Path(Path(__file__).absolute().root) / Path('pythonlogs')) # noinspection PyMissingOrEmptyDocstring,PyPep8 class LogManager(object): """ 一个日志管理类，用于创建logger和添加handler，支持将日志打印到控制台打印和写入日志文件和mongodb和邮件。 """ logger_name_list = [] logger_list = [] def __init__(self, logger_name=None, is_pycharm_2019=False): """ :param logger_name: 日志名称，当为None时候创建root命名空间的日志，一般情况下千万不要传None，除非你确定需要这么做和是在做什么 """ self._logger_name = logger_name self.logger = logging.getLogger(logger_name) self._is_pycharm_2019 = is_pycharm_2019 # 此处可以使用*args ,**kwargs减少很多参数，但为了pycharm更好的自动智能补全提示放弃这么做 @classmethod def bulid_a_logger_with_mail_handler(cls, logger_name, log_level_int=10, *, is_add_stream_handler=True, do_not_use_color_handler=False, log_path=get_logs_dir_by_disk_root(), log_filename=None, log_file_size=100, mongo_url=None, is_add_elastic_handler=False, is_add_kafka_handler=False, ding_talk_token=DING_TALK_TOKEN, ding_talk_time_interval=60, formatter_template=5, mailhost: tuple = EMAIL_HOST, # ('smtpdm.aliyun.com', 465), # 公司邮箱有频率限制影响业务 fromaddr: str = EMAIL_FROMADDR, # 'matafyhotel-techl@matafy.com', toaddrs: tuple = EMAIL_TOADDRS, subject: str = '马踏飞燕日志报警测试', credentials: tuple = EMAIL_CREDENTIALS, # ('matafyhotel-techl@matafy.com', 'DDMkXzmlZtlNXB81YrYH'), secure=None, timeout=5.0, is_use_ssl=True, mail_time_interval=60): """ 创建一个附带邮件handler的日志 :param logger_name: :param log_level_int: 可以用1 2 3 4 5 ，用可以用官方logging模块的正规的10 20 30 40 50,兼容。 :param is_add_stream_handler: :param do_not_use_color_handler: :param log_path: :param log_filename: :param log_file_size: :param mongo_url: :param is_add_elastic_handler: 是否添加eshandler :param is_add_kafka_handler: 日志是否发布到kafka。 :param ding_talk_token:钉钉机器人token :param ding_talk_time_interval : 时间间隔，少于这个时间不发送钉钉消息 :param formatter_template: :param mailhost: :param fromaddr: :param toaddrs: :param subject: :param credentials: :param secure: :param timeout: :param is_use_ssl: :param mail_time_interval: 邮件的频率控制，为0不限制，如果为100，代表100秒内相同内容的邮件最多发送一次邮件 :return: """ if log_filename is None: log_filename = f'{logger_name}.log' logger = cls(logger_name).get_logger_and_add_handlers(log_level_int=log_level_int, is_add_stream_handler=is_add_stream_handler, do_not_use_color_handler=do_not_use_color_handler, log_path=log_path, log_filename=log_filename, log_file_size=log_file_size, mongo_url=mongo_url, is_add_elastic_handler=is_add_elastic_handler, is_add_kafka_handler=is_add_kafka_handler, ding_talk_token=ding_talk_token, ding_talk_time_interval=ding_talk_time_interval, formatter_template=formatter_template, ) smtp_handler = CompatibleSMTPSSLHandler(mailhost, fromaddr, toaddrs, subject, credentials, secure, timeout, is_use_ssl, mail_time_interval, ) log_level_int = log_level_int * 10 if log_level_int < 10 else log_level_int smtp_handler.setLevel(log_level_int) smtp_handler.setFormatter(formatter_dict[formatter_template]) logger.addHandler(smtp_handler) return logger # 加*是为了强制在调用此方法时候使用关键字传参，如果以位置传参强制报错，因为此方法后面的参数中间可能以后随时会增加更多参数，造成之前的使用位置传参的代码参数意义不匹配。 # noinspection PyAttributeOutsideInit def get_logger_and_add_handlers(self, log_level_int: int = 10, *, is_add_stream_handler=True, do_not_use_color_handler=False, log_path=get_logs_dir_by_disk_root(), log_filename=None, log_file_size=100, mongo_url=None, is_add_elastic_handler=False, is_add_kafka_handler=False, ding_talk_token=None, ding_talk_time_interval=60, formatter_template=5): """ :param log_level_int: 日志输出级别，设置为 1 2 3 4 5，分别对应原生logging.DEBUG(10)，logging.INFO(20)，logging.WARNING(30)，logging.ERROR(40),logging.CRITICAL(50)级别，现在可以直接用10 20 30 40 50了，兼容了。 :param is_add_stream_handler: 是否打印日志到控制台 :param do_not_use_color_handler :是否禁止使用color彩色日志 :param log_path: 设置存放日志的文件夹路径 :param log_filename: 日志的名字，仅当log_path和log_filename都不为None时候才写入到日志文件。 :param log_file_size :日志大小，单位M，默认10M :param mongo_url : mongodb的连接，为None时候不添加mongohandler :param is_add_elastic_handler: 是否记录到es中。 :param is_add_kafka_handler: 日志是否发布到kafka。 :param ding_talk_token:钉钉机器人token :param ding_talk_time_interval : 时间间隔，少于这个时间不发送钉钉消息 :param formatter_template :日志模板，1为formatter_dict的详细模板，2为简要模板,5为最好模板 :type log_level_int :int :type is_add_stream_handler :bool :type log_path :str :type log_filename :str :type mongo_url :str :type log_file_size :int """ self._logger_level = log_level_int * 10 if log_level_int < 10 else log_level_int self._is_add_stream_handler = is_add_stream_handler self._do_not_use_color_handler = do_not_use_color_handler self._log_path = log_path self._log_filename = log_filename self._log_file_size = log_file_size self._mongo_url = mongo_url self._is_add_elastic_handler = is_add_elastic_handler self._is_add_kafka_handler = is_add_kafka_handler self._ding_talk_token = ding_talk_token self._ding_talk_time_interval = ding_talk_time_interval self._formatter = formatter_dict[formatter_template] self.logger.setLevel(self._logger_level) self.__add_handlers() # self.logger_name_list.append(self._logger_name) # self.logger_list.append(self.logger) return self.logger def get_logger_without_handlers(self): """返回一个不带hanlers的logger""" return self.logger # noinspection PyMethodMayBeStatic,PyMissingOrEmptyDocstring def look_over_all_handlers(self): very_nb_print(f'{self._logger_name}名字的日志的所有handlers是--> {self.logger.handlers}') def remove_all_handlers(self): for hd in self.logger.handlers: self.logger.removeHandler(hd) def remove_handler_by_handler_class(self, handler_class: type): """ 去掉指定类型的handler :param handler_class:logging.StreamHandler,ColorHandler,MongoHandler,ConcurrentRotatingFileHandler,MongoHandler,CompatibleSMTPSSLHandler的一种 :return: """ if handler_class not in (logging.StreamHandler, ColorHandler, MongoHandler, ConcurrentRotatingFileHandler, MongoHandler, CompatibleSMTPSSLHandler, ElasticHandler, DingTalkHandler): raise TypeError('设置的handler类型不正确') for handler in self.logger.handlers: if isinstance(handler, handler_class): self.logger.removeHandler(handler) def __add_a_hanlder(self, handlerx: logging.Handler): for hdlr in self.logger.handlers: if type(hdlr) == type(handlerx): return handlerx.setLevel(10) handlerx.setFormatter(self._formatter) self.logger.addHandler(handlerx) def __add_handlers(self): pass # REMIND 添加控制台日志 if self._is_add_stream_handler: handler = ColorHandler(is_pycharm_2019=self._is_pycharm_2019) if not self._do_not_use_color_handler else logging.StreamHandler() # 不使用streamhandler，使用自定义的彩色日志 # handler = logging.StreamHandler() self.__add_a_hanlder(handler) # REMIND 添加多进程安全切片的文件日志 if all([self._log_path, self._log_filename]): if not os.path.exists(self._log_path): os.makedirs(self._log_path) log_file = os.path.join(self._log_path, self._log_filename) rotate_file_handler = None if os_name == 'nt': # windows下用这个，非进程安全 rotate_file_handler = ConcurrentRotatingFileHandler(log_file, maxBytes=self._log_file_size * 1024 * 1024, backupCount=3, encoding="utf-8") if os_name == 'posix': # linux下可以使用ConcurrentRotatingFileHandler，进程安全的日志方式 rotate_file_handler = ConcurrentRotatingFileHandler(log_file, maxBytes=self._log_file_size * 1024 * 1024, backupCount=3, encoding="utf-8") self.__add_a_hanlder(rotate_file_handler) # REMIND 添加mongo日志。 if self._mongo_url: self.__add_a_hanlder(MongoHandler(self._mongo_url)) # REMIND 添加es日志。 # if app_config.env == 'test' and self._is_add_elastic_handler: if app_config.env == 'testxxx': # 使用kafka。不直接es。 """ 生产环境使用阿里云 oss日志，不使用这个。 """ self.__add_a_hanlder(ElasticHandler([ELASTIC_HOST], ELASTIC_PORT)) # REMIND 添加kafka日志。 # if self._is_add_kafka_handler: if app_config.env == 'test': self.__add_a_hanlder(KafkaHandler(KAFKA_BOOTSTRAP_SERVERS, )) # REMIND 添加钉钉日志。 if self._ding_talk_token: self.__add_a_hanlder(DingTalkHandler(self._ding_talk_token, self._ding_talk_time_interval)) def get_logger(log_name): return LogManager(log_name).get_logger_and_add_handlers(log_filename=f'{log_name}.log') class LoggerMixin(object): subclass_logger_dict = {} @property def logger_extra_suffix(self): return self.__logger_extra_suffix @logger_extra_suffix.setter def logger_extra_suffix(self, value): # noinspection PyAttributeOutsideInit self.__logger_extra_suffix = value @property def logger_full_name(self): try: # noinspection PyUnresolvedReferences return type(self).__name__ + '-' + self.logger_extra_suffix except AttributeError: # very_nb_print(type(e)) return type(self).__name__ @property def logger(self): logger_name_key = self.logger_full_name + '1' if logger_name_key not in self.subclass_logger_dict: logger_var = LogManager(self.logger_full_name).get_logger_and_add_handlers() self.subclass_logger_dict[logger_name_key] = logger_var return logger_var else: return self.subclass_logger_dict[logger_name_key] @property def logger_with_file(self): logger_name_key = self.logger_full_name + '2' if logger_name_key not in self.subclass_logger_dict: logger_var = LogManager(self.logger_full_name).get_logger_and_add_handlers(log_filename=self.logger_full_name + '.log', log_file_size=50) self.subclass_logger_dict[logger_name_key] = logger_var return logger_var else: return self.subclass_logger_dict[logger_name_key] @property def logger_with_file_mongo(self): from app import config logger_name_key = self.logger_full_name + '3' if logger_name_key not in self.subclass_logger_dict: logger_var = LogManager(self.logger_full_name).get_logger_and_add_handlers(log_filename=self.logger_full_name + '.log', log_file_size=50, mongo_url=config.connect_url) self.subclass_logger_dict[logger_name_key] = logger_var return logger_var else: return self.subclass_logger_dict[logger_name_key] class LoggerMixinDefaultWithFileHandler(LoggerMixin): subclass_logger_dict = {} @property def logger(self): logger_name_key = self.logger_full_name + '3' if logger_name_key not in self.subclass_logger_dict: logger_var = LogManager(self.logger_full_name).get_logger_and_add_handlers(log_filename=self.logger_full_name + '.log', log_file_size=50) self.subclass_logger_dict[logger_name_key] = logger_var return logger_var else: return self.subclass_logger_dict[logger_name_key] class LoggerLevelSetterMixin: # noinspection PyUnresolvedReferences def set_log_level(self, log_level=10): try: self.logger.setLevel(log_level) except AttributeError as e: very_nb_print(e) return self simple_logger = LogManager('simple').get_logger_and_add_handlers() defaul_logger = LogManager('hotel').get_logger_and_add_handlers(do_not_use_color_handler=True, formatter_template=7) file_logger = LogManager('hotelf').get_logger_and_add_handlers(do_not_use_color_handler=True, log_filename='hotel_' + time.strftime("%Y-%m-%d", time.localtime()) + ".log", formatter_template=7) # noinspection PyMethodMayBeStatic,PyNestedDecorators,PyArgumentEqualDefault class _Test(unittest.TestCase): # noinspection PyMissingOrEmptyDocstring @classmethod def tearDownClass(cls): """ """ time.sleep(1) @unittest.skip def test_repeat_add_handlers_(self): """测试重复添加handlers""" LogManager('test').get_logger_and_add_handlers(log_path='../logs', log_filename='test.log') LogManager('test').get_logger_and_add_handlers(log_path='../logs', log_filename='test.log') LogManager('test').get_logger_and_add_handlers(log_path='../logs', log_filename='test.log') test_log = LogManager('test').get_logger_and_add_handlers(log_path='../logs', log_filename='test.log') print('下面这一句不会重复打印四次和写入日志四次') time.sleep(1) test_log.debug('这一句不会重复打印四次和写入日志四次') @unittest.skip def test_get_logger_without_hanlders(self): """测试没有handlers的日志""" log = LogManager('test2').get_logger_without_handlers() print('下面这一句不会被打印') time.sleep(1) log.info('这一句不会被打印') @unittest.skip def test_add_handlers(self): """这样可以在具体的地方任意写debug和info级别日志，只需要在总闸处规定级别就能过滤，很方便""" LogManager('test3').get_logger_and_add_handlers(2) log1 = LogManager('test3').get_logger_without_handlers() print('下面这一句是info级别，可以被打印出来') time.sleep(1) log1.info('这一句是info级别，可以被打印出来') print('下面这一句是debug级别，不能被打印出来') time.sleep(1) log1.debug('这一句是debug级别，不能被打印出来') @unittest.skip def test_only_write_log_to_file(self): # NOQA """只写入日志文件""" log5 = LogManager('test5').get_logger_and_add_handlers(20) log6 = LogManager('test6').get_logger_and_add_handlers(is_add_stream_handler=False, log_filename='test6.log') print('下面这句话只写入文件') log5.debug('这句话只写入文件') log6.debug('这句话只写入文件') @unittest.skip def test_get_app_logs_dir(self): # NOQA print(get_logs_dir_by_folder_name()) print(get_logs_dir_by_disk_root()) @unittest.skip def test_none(self): # noinspection PyUnusedLocal log1 = LogManager('log1').get_logger_and_add_handlers() LogManager().get_logger_and_add_handlers() LogManager().get_logger_and_add_handlers() log1 = LogManager('log1').get_logger_and_add_handlers() LogManager().get_logger_and_add_handlers() LogManager('log1').get_logger_and_add_handlers(log_filename='test_none.log') log1.debug('打印几次？') @unittest.skip def test_formater(self): logger2 = LogManager('test_formater2').get_logger_and_add_handlers(formatter_template=6) logger2.debug('测试日志模板2') logger5 = LogManager('test_formater5').get_logger_and_add_handlers(formatter_template=5) logger5.error('测试日志模板5') defaul_logger.debug('dddddd') file_logger.info('ffffff') @unittest.skip def test_bulid_a_logger_with_mail_handler(self): """ 测试日志发送到邮箱中 :return: """ logger = LogManager.bulid_a_logger_with_mail_handler('mail_logger_name', mail_time_interval=60, toaddrs=( '909686xxx@qq.com', 'yanxx@dingtalk.com', )) for _ in range(100): logger.warning('测试邮件日志的内容。。。。') time.sleep(10) @unittest.skip def test_ding_talk(self): logger = LogManager('testdinding').get_logger_and_add_handlers(ding_talk_token=DING_TALK_TOKEN, ding_talk_time_interval=10) logger.debug('啦啦啦德玛西亚1') logger.debug('啦啦啦德玛西亚2') time.sleep(10) logger.debug('啦啦啦德玛西亚3') @unittest.skip def test_remove_handler(self): logger = LogManager('test13').get_logger_and_add_handlers() logger.debug('去掉coloerhandler前') LogManager('test13').remove_handler_by_handler_class(ColorHandler) logger.debug('去掉coloerhandler后，此记录不会被打印') @unittest.skip def test_logging(self): # logging命名空间是root,会导致日志重复打印，不要直接用。 logger = LogManager('test14').get_logger_and_add_handlers(formatter_template=4) logger.debug('xxxx') logging.warning('yyyyyyy') logger.warning('zzzzzzzzz') @unittest.skip def test_logger_level_setter_mixin(self): """ 测试可以设置日志级别的mixin类 :return: """ print('测试非常流弊的print') class A(LoggerMixin, LoggerLevelSetterMixin): pass a = A().set_log_level(20) a.logger.debug('这句话不能被显示') # 这句话不能被打印 a.logger.error('这句话可以显示') # @unittest.skip def test_color_and_mongo_hanlder(self): """测试彩色日志和日志写入mongodb""" very_nb_print('测试颜色和mongo') logger = LogManager('helloMongo', is_pycharm_2019=False).get_logger_and_add_handlers(mongo_url=app_config.connect_url, formatter_template=5) logging.error('xxxx') # logger = LogManager('helloMongo', is_pycharm_2019=False).get_logger_and_add_handlers(formatter_template=5) for i in range(100000): time.sleep(1) logger.debug('一个debug级别的日志。' * 5) logger.info('一个info级别的日志。' * 5) logger.warning('一个warning级别的日志。' * 5) logger.error('一个error级别的日志。' * 5) logger.critical('一个critical级别的日志。' * 5) if __name__ == "__main__": unittest.main() # raise Exception
反对极端面向过程编程思维方式，喜欢面向对象和设计模式的解读，喜欢对比极端面向过程编程和oop编程消耗代码代码行数的区别和原因。致力于使用oop和36种设计模式写出最高可复用的框架级代码和使用最少的代码行数完成任务，致力于使用oop和设计模式来使部分代码减少90%行，使绝大部分py文件最低减少50%-80%行的写法。
