一、python logging日志模块简单封装
项目根目录创建 utils/logUtil.py
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import logging from logging.handlers import TimedRotatingFileHandler from logging.handlers import RotatingFileHandler class Log( object ): STAND = "stand" # 输出到控制台 FILE = "file" # 输出到文件 ALL = "all" # 输出到控制台和文件 def __init__( self , mode = STAND): self .LOG_FORMAT = "%(asctime)s - %(levelname)s - %(message)s" self .logger = logging.getLogger() self .init(mode) def debug( self , msg): self .logger.debug(msg) def info( self , msg): self .logger.info(msg) def warning( self , msg): self .logger.warning(msg) def error( self , msg): self .logger.error(msg) def init( self , mode): self .logger.setLevel(logging.DEBUG) if mode = = "stand" : # 输出到控制台 ------ self .stand_mode() elif mode = = "file" : # 输出到文件 -------- self .file_mode() elif mode = = "all" : # 输出到控制台和文件 self .stand_mode() self .file_mode() def stand_mode( self ): stand_handler = logging.StreamHandler() stand_handler.setLevel(logging.DEBUG) stand_handler.setFormatter(logging.Formatter( self .LOG_FORMAT)) self .logger.addHandler(stand_handler) def file_mode( self ): ''' filename:日志文件名的prefix; when:是一个字符串,用于描述滚动周期的基本单位,字符串的值及意义如下: “S”: Seconds “M”: Minutes “H”: Hours “D”: Days “W”: Week day (0=Monday) “midnight”: Roll over at midnight interval: 滚动周期,单位有when指定,比如:when='D',interval=1,表示每天产生一个日志文件; backupCount: 表示日志文件的保留个数; ''' # 输出到文件 ----------------------------------------------------------- # 按文件大小输出 # file_handler = RotatingFileHandler(filename="my1.log", mode='a', maxBytes=1024 * 1024 * 5, backupCount=10, encoding='utf-8') # 使用RotatingFileHandler类,滚动备份日志 # 按时间输出 file_handler = TimedRotatingFileHandler(filename = "my.log" , when = "D" , interval = 1 , backupCount = 10 , encoding = 'utf-8' ) file_handler.setLevel(logging.DEBUG) file_handler.setFormatter(logging.Formatter( self .LOG_FORMAT)) self .logger.addHandler(file_handler) log = Log(mode = Log.STAND) |
使用方法:
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from utils.logUtil import log if __name__ = = '__main__' : log.debug( "debug msg" ) log.info( "info msg" ) log.warning( "warning msg" ) log.error( "error msg" ) |
跑一下测试结果:
二、pandas编写命令行脚本操作excel的小tips
这里用上面日志小工具
如果不想用这个,可以把日志输出的代码换成 print() 或者删掉
1、tips
1.1使用说明格式
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# 使用说明 ----------------------------------- time.sleep( 1 ) print ( '===========================================================' ) print ( '简单说明:使用正则表达式拆分excel表中不规范的作者,初步提取对应需求字段' ) print ( 'PS:' ) print ( '1.文件夹下需要有一个excel(只放一个,名称随意),其中一列“作者”保存着待拆分的作者' ) print ( '2.拆分后的excel将新增几列拆分结果列,以 <作者>[拆分] 作为列名标记' ) print ( '===========================================================' ) time.sleep( 1 ) # ------------------------------------------ |
1.2接收操作目录方法
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# 输入操作路径 ---------------------------------------------------------------- operate_dir = input ( '请输入excel目录(旺柴):' ) # D:\PycharmProjects\spiders\图片下载工具\excel operate_dir = os.path.abspath(operate_dir) # operate_dir = os.path.abspath(r'C:\Users\cxstar46\Desktop\正则表达式题名拆分测试') # ----------------------------------------------------------------------------- |
1.3检测并读取目录下的excel,并限制当前目录只能放一个excel
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# 检测excel数量,只能放一个,当只有一个excel时,提取它的路径excel_path ------- log.info( '检查路径下的文件格式...' ) excel_name = None excel_count = 0 file_list = os.listdir(operate_dir) for file in file_list: if file .endswith( '.xlsx' ) or file .endswith( '.xlx' ): excel_count + = 1 excel_name = file if excel_count = = 0 : log.error( '文件夹下没有excel' ) input ( '按任意键退出...' ) raise Exception( 0 ) if excel_count > 1 : log.error( "无法读取excel,文件夹下有多个excel,或者excel未关闭" ) input ( '按任意键退出...' ) raise Exception( 0 ) # print(excel_name) # raise Exception(1212) # ---------------------------------------------------------------------- # print(excel_path) # print(img_dir) # 读取excel ---------------------------------------- excel_path = os.path.join(operate_dir, excel_name) # print(excel_path) try : df = pd.read_excel(excel_path) df = df.where(df.notnull(), None ) except Exception as e: log.error(e) log.error( '文件不存在或已损坏...' ) input ( '按任意键退出...' ) raise Exception( 0 ) # ------------------------------------------------- # 打印excel行数 print (df.shape[ 0 ]) |
1.4备份excel
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# 备份原始excel表 -------------------------------------------------------------- log.info( '备份excel...' ) bak_dir = '封面上传前的备份' # 备份文件夹的名称 file_list = os.listdir(operate_dir) if bak_dir not in file_list: os.makedirs(os.path.join(operate_dir, bak_dir)) bak_excel_path = os.path.join(os.path.join(operate_dir, bak_dir), "{}_{}" . format (datetime.datetime.now().strftime( "%Y-%m-%d_%H-%M-%S" ), excel_name)) shutil.copyfile(excel_path, bak_excel_path) # ----------------------------------------------------------------------------- |
1.5报错暂停,并显示异常信息
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try : raise Exception( "执行业务报错" ) except Exception as e: import traceback log.error(traceback.format_exc()) # 记录异常信息 input ( '执行完毕,按任意键继续...' ) |
1.6判断excel是否包含某列,不包含就新建
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cover_ruid_col_name = "封面ruid" # 没有封面ruid这一列就创建 if cover_ruid_col_name not in df.columns.values: df.loc[:, cover_ruid_col_name] = None |
1.7进度展示与阶段保存
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# 读取excel excel_path = './封面上传测试.xlsx' df = pd.read_excel(excel_path) review_col = "审核结果" # 没有“审核结果”这一列就创建 if review_col not in df.columns.values: df.loc[:, review_col] = None for i in range (df.shape[ 0 ]): # 打印进度 --------------------------------------------- log.info( "----------------------------------" ) log.info( "当前进度: {} / {}" . format (i + 1 , df.shape[ 0 ])) # ---------------------------------------------------- # 执行表格插入业务 # 判断业务 # 吧啦吧啦 # 业务执行结果插入原表 df.loc[i, "审核结果" ] = "好耶" # 阶段性保存 ---------------------------- save_space = 200 # 每执行两百行保存一次 if i + 1 % save_space = = 0 and i ! = 0 : df.to_excel(excel_path, index = 0 ) log.info( "阶段性保存..." ) # ------------------------------------- |
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原文链接:https://blog.csdn.net/weixin_43721000/article/details/126016051