常用python日期、日志、获取内容循环的代码片段是什么

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近段时间对shell脚本和python进行了梳理，将一些脚本中常用的内容，考虑多种方法整理出来，形成有用的代码片段，这样就可以在需要的时候直接使用，也可以用于备忘和思考。
本次整理的代码片段有： python中日期、时间常用获取方法； 记录处理日志的logging模块使用；从目录，文件，命名结果中，获取循环条件进行循环。
我将这些有用的代码片段整理在一个Python脚本中了，并且测试可用。
脚本内容如下：

• #!/usr/bin/env python
  

• #_*_coding:utf8_*_
  

• 
  

• #常用日期和时间
  

• import datetime,time
  

• today = datetime.date.today()
  

• yesterday = datetime.date.today() - datetime.timedelta(days=1)
  

• tomorrow = datetime.date.today() + datetime.timedelta(days=1)
  

• 
  

• Today_nyr = int(datetime.datetime.strftime(today, '%Y%m%d'))
  

• Yesterday_nyr = int(datetime.datetime.strftime(yesterday, '%Y%m%d'))
  

• Tomorrow_nyr = int(datetime.datetime.strftime(tomorrow ,'%Y%m%d'))
  

• 
  

• time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))
  

• print "now time is {time}".format(time=time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))
  

• 
  

• print "normal type , today is {today} , yesterday is {yesterday} , tomorrow is {tommorrow} .".format(today=today,yesterday=yesterday,tommorrow=tomorrow)
  

• print "nyr style , today is {today} , yesterday is {yesterday} , tommrrow is {tommorrow} .".format(today=Today_nyr,yesterday=Yesterday_nyr,tommorrow=Tomorrow_nyr)
  

• #logging.info("now time is {time}".format(time=time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))))
  

• #logging.info("normal type , today is {today} , yesterday is {yesterday} , tomorrow is {tommorrow} .".format(today=today,yesterday=yesterday,tommorrow=tomorrow))
  

• #logging.info("nyr style , today is {today} , yesterday is {yesterday} , tommrrow is {tommorrow} .".format(today=Today_nyr,yesterday=Yesterday_nyr,tommorrow=Tomorrow_nyr))
  

• 
  

• ###程序日志模块logging使用
  

• import logging
  

• import os
  

• 
  

• THISFILEPATH = os.path.dirname(os.path.realpath(__file__))
  

• logfile = '{path}/python_test_file.log'.format(path=THISFILEPATH)
  

• logging.basicConfig(level=logging.DEBUG,
  

•                     format='%(asctime)s - %(filename)s - [line:%(lineno)d] %(levelname)s: %(message)s',
  

•                     datefmt='%Y-%m-%d %H:%M:%S %p',
  

•                     filename=logfile,
  

•                     #level=10,
  

•                     filemode='a')
  

• 
  

• 
  

• 
  

• logging.info("This is a info.\n")
  

• logging.warn("This is a warning.\n")
  

• logging.error("This is a error.\n")
  

• #logging.log("This is a log. \n\n")
  

• logging.debug("This is a debug. \n\n")
  

• logging.critical("This is a critical \n\n\n")
  

• 
  

• 
  

• logging.info("now time is {time}".format(time=time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))))
  

• logging.info("normal type , today is {today} , yesterday is {yesterday} , tomorrow is {tommorrow} .".format(today=today,yesterday=yesterday,tommorrow=tomorrow))
  

• logging.info("nyr style , today is {today} , yesterday is {yesterday} , tommrrow is {tommorrow} .".format(today=Today_nyr,yesterday=Yesterday_nyr,tommorrow=Tomorrow_nyr))
  

• 
  

• 
  

• ###从一个目录中，取出所有文件名进行循环
  

• from subprocess import call
  

• 
  

• File_Dir = "/tmp"
  

• File_List = os.listdir(File_Dir)
  

• for f in File_List:
  

•     if( f[0] == '.' ):
  

•         continue
  

•     else:
  

•         logging.info("{filename}".format(filename=f))
  

• 
  

• ###读取一个文件的多行，进行循环
  

• #文件读取方法一：
  

• file = open("/tmp/3.txt")
  

• while 1:
  

•     line = file.readline()
  

•     if not line:
  

•         break
  

•     logging.info("this line is :{line}".format(line=line))
  

• 
  

• #文件读取方法二：
  

• import fileinput
  

• for line in fileinput.input("/tmp/3.txt"):
  

•     logging.info("this line is :{line}  .".format(line=line))
  

• 
  

• #文件读取方法三：
  

• file = open("/tmp/3.txt")
  

• for line in file:
  

•     logging.info("this line is :{line}  .".format(line=line))
  

• 
  

• 
  

• ###获取一个shell命令执行结果，进行循环
  

• #获取命令方法一：
  

• import subprocess
  

• shell_cmd = "df -h | awk '{print $1}'"
  

• p = subprocess.Popen("{cmd}".format(cmd=shell_cmd), shell=True, stdout=subprocess.PIPE)
  

• out = p.stdout.readlines()
  

• for line in out:
  

•     print line.strip()
  

•     logging.info(" file system is :{line}  .".format(line=line.strip()))
  

• 
  

• 
  

• #获取命令方法二：
  

• for line in subprocess.Popen("df -h | awk '{print $1}'",shell=True,stdout=subprocess.PIPE).stdout.readlines():
  

•     print line.strip()
  

•     logging.info(" file system is :{line}  .".format(line=line.strip()))

       上面的脚本，可使用 python 3.py 直接执行。
       脚本执行结果如下：

• 2017-03-02 16:48:43 PM - 3.py - [line:38] INFO: This is a info.
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:39] WARNING: This is a warning.
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:40] ERROR: This is a error.
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:42] DEBUG: This is a debug.
  

• 
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:43] CRITICAL: This is a critical
  

• 
  

• 
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:46] INFO: now time is 2017-03-02 16:48:43
  

• 2017-03-02 16:48:43 PM - 3.py - [line:47] INFO: normal type , today is 2017-03-02 , yesterday is 2017-03-01 , tomorrow is 2017-03-03 .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:48] INFO: nyr style , today is 20170302 , yesterday is 20170301 , tommrrow is 20170303 .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: 40001501_20170302.csv
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: proc_cpu_result
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: qaucli_022317-18_15_41.log
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: sfcbHttpSocket
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: 1.py
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: sfcbLocalSocket
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: 2.txt
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: null
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: 3.txt
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: 3.py
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: hsperfdata_root
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: updatehbaconf.sh.log
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: proc_cpu_detail.txt
  

• 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: python_test_file.log
  

• 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :1
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :2
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :3
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :4
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :5
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :6
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :7
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :8
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :9
  

• 
  

• 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :1
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :2
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :3
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :4
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :5
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :6
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :7
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :8
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :9
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :1
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :2
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :3
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :4
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :5
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :6
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :7
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :8
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :9
  

•   .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:90] INFO: file system is :Filesystem .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:90] INFO: file system is :/dev/sda2 .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:90] INFO: file system is :tmpfs .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:90] INFO: file system is :/dev/sda1 .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:90] INFO: file system is :/dev/sda5 .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:96] INFO: file system is :Filesystem .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:96] INFO: file system is :/dev/sda2 .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:96] INFO: file system is :tmpfs .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:96] INFO: file system is :/dev/sda1 .
  

• 2017-03-02 16:48:43 PM - 3.py - [line:96] INFO: file system is :/dev/sda5 .

关于常用python日期、日志、获取内容循环的代码片段是什么就分享到这里了，希望以上内容可以对大家有一定的帮助，可以学到更多知识。如果觉得文章不错，可以把它分享出去让更多的人看到。