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常用python日期、日志、获取内容循环的代码片段

原创 IT综合 作者：天空的鹰 时间：2017-03-02 16:50:44 0 删除 编辑

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：


点击(此处)折叠或打开

  1. #!/usr/bin/env python
  2. #_*_coding:utf8_*_

  4. #常用日期和时间
  5. import datetime,time
  6. today = datetime.date.today()
  7. yesterday = datetime.date.today() - datetime.timedelta(days=1)
  8. tomorrow = datetime.date.today() + datetime.timedelta(days=1)

  10. Today_nyr = int(datetime.datetime.strftime(today, '%Y%m%d'))
  11. Yesterday_nyr = int(datetime.datetime.strftime(yesterday, '%Y%m%d'))
  12. Tomorrow_nyr = int(datetime.datetime.strftime(tomorrow ,'%Y%m%d'))

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

  17. print "normal type , today is {today} , yesterday is {yesterday} , tomorrow is {tommorrow} .".format(today=today,yesterday=yesterday,tommorrow=tomorrow)
  18. print "nyr style , today is {today} , yesterday is {yesterday} , tommrrow is {tommorrow} .".format(today=Today_nyr,yesterday=Yesterday_nyr,tommorrow=Tomorrow_nyr)
  19. #logging.info("now time is {time}".format(time=time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))))
  20. #logging.info("normal type , today is {today} , yesterday is {yesterday} , tomorrow is {tommorrow} .".format(today=today,yesterday=yesterday,tommorrow=tomorrow))
  21. #logging.info("nyr style , today is {today} , yesterday is {yesterday} , tommrrow is {tommorrow} .".format(today=Today_nyr,yesterday=Yesterday_nyr,tommorrow=Tomorrow_nyr))

  23. ###程序日志模块logging使用
  24. import logging
  25. import os

  27. THISFILEPATH = os.path.dirname(os.path.realpath(__file__))
  28. logfile = '{path}/python_test_file.log'.format(path=THISFILEPATH)
  29. logging.basicConfig(level=logging.DEBUG,
  30.                     format='%(asctime)s - %(filename)s - [line:%(lineno)d] %(levelname)s: %(message)s',
  31.                     datefmt='%Y-%m-%d %H:%M:%S %p',
  32.                     filename=logfile,
  33.                     #level=10,
  34.                     filemode='a')



  38. logging.info("This is a info.\n")
  39. logging.warn("This is a warning.\n")
  40. logging.error("This is a error.\n")
  41. #logging.log("This is a log. \n\n")
  42. logging.debug("This is a debug. \n\n")
  43. logging.critical("This is a critical \n\n\n")


  46. logging.info("now time is {time}".format(time=time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))))
  47. logging.info("normal type , today is {today} , yesterday is {yesterday} , tomorrow is {tommorrow} .".format(today=today,yesterday=yesterday,tommorrow=tomorrow))
  48. logging.info("nyr style , today is {today} , yesterday is {yesterday} , tommrrow is {tommorrow} .".format(today=Today_nyr,yesterday=Yesterday_nyr,tommorrow=Tomorrow_nyr))


  51. ###从一个目录中，取出所有文件名进行循环
  52. from subprocess import call

  54. File_Dir = "/tmp"
  55. File_List = os.listdir(File_Dir)
  56. for f in File_List:
  57.     if( f[0] == '.' ):
  58.         continue
  59.     else:
  60.         logging.info("{filename}".format(filename=f))

  62. ###读取一个文件的多行，进行循环
  63. #文件读取方法一：
  64. file = open("/tmp/3.txt")
  65. while 1:
  66.     line = file.readline()
  67.     if not line:
  68.         break
  69.     logging.info("this line is :{line}".format(line=line))

  71. #文件读取方法二：
  72. import fileinput
  73. for line in fileinput.input("/tmp/3.txt"):
  74.     logging.info("this line is :{line} .".format(line=line))

  76. #文件读取方法三：
  77. file = open("/tmp/3.txt")
  78. for line in file:
  79.     logging.info("this line is :{line} .".format(line=line))


  82. ###获取一个shell命令执行结果，进行循环
  83. #获取命令方法一：
  84. import subprocess
  85. shell_cmd = "df -h | awk '{print $1}'"
  86. p = subprocess.Popen("{cmd}".format(cmd=shell_cmd), shell=True, stdout=subprocess.PIPE)
  87. out = p.stdout.readlines()
  88. for line in out:
  89.     print line.strip()
  90.     logging.info(" file system is :{line} .".format(line=line.strip()))


  93. #获取命令方法二：
  94. for line in subprocess.Popen("df -h | awk '{print $1}'",shell=True,stdout=subprocess.PIPE).stdout.readlines():
  95.     print line.strip()
  96.     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：


点击(此处)折叠或打开

  1. 2017-03-02 16:48:43 PM - 3.py - [line:38] INFO: This is a info.

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

  5. 2017-03-02 16:48:43 PM - 3.py - [line:40] ERROR: This is a error.

  7. 2017-03-02 16:48:43 PM - 3.py - [line:42] DEBUG: This is a debug.


  10. 2017-03-02 16:48:43 PM - 3.py - [line:43] CRITICAL: This is a critical



  14. 2017-03-02 16:48:43 PM - 3.py - [line:46] INFO: now time is 2017-03-02 16:48:43
  15. 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 .
  16. 2017-03-02 16:48:43 PM - 3.py - [line:48] INFO: nyr style , today is 20170302 , yesterday is 20170301 , tommrrow is 20170303 .
  17. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: 40001501_20170302.csv
  18. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: proc_cpu_result
  19. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: qaucli_022317-18_15_41.log
  20. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: sfcbHttpSocket
  21. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: 1.py
  22. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: sfcbLocalSocket
  23. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: 2.txt
  24. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: null
  25. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: 3.txt
  26. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: 3.py
  27. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: hsperfdata_root
  28. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: updatehbaconf.sh.log
  29. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: proc_cpu_detail.txt
  30. 2017-03-02 16:48:43 PM - 3.py - [line:60] INFO: python_test_file.log
  31. 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :1

  33. 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :2

  35. 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :3

  37. 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :4

  39. 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :5

  41. 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :6

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

  45. 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :8

  47. 2017-03-02 16:48:43 PM - 3.py - [line:69] INFO: this line is :9

  49. 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :1
  50.   .
  51. 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :2
  52.   .
  53. 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :3
  54.   .
  55. 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :4
  56.   .
  57. 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :5
  58.   .
  59. 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :6
  60.   .
  61. 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :7
  62.   .
  63. 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :8
  64.   .
  65. 2017-03-02 16:48:43 PM - 3.py - [line:74] INFO: this line is :9
  66.   .
  67. 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :1
  68.   .
  69. 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :2
  70.   .
  71. 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :3
  72.   .
  73. 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :4
  74.   .
  75. 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :5
  76.   .
  77. 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :6
  78.   .
  79. 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :7
  80.   .
  81. 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :8
  82.   .
  83. 2017-03-02 16:48:43 PM - 3.py - [line:79] INFO: this line is :9
  84.   .
  85. 2017-03-02 16:48:43 PM - 3.py - [line:90] INFO: file system is :Filesystem .
  86. 2017-03-02 16:48:43 PM - 3.py - [line:90] INFO: file system is :/dev/sda2 .
  87. 2017-03-02 16:48:43 PM - 3.py - [line:90] INFO: file system is :tmpfs .
  88. 2017-03-02 16:48:43 PM - 3.py - [line:90] INFO: file system is :/dev/sda1 .
  89. 2017-03-02 16:48:43 PM - 3.py - [line:90] INFO: file system is :/dev/sda5 .
  90. 2017-03-02 16:48:43 PM - 3.py - [line:96] INFO: file system is :Filesystem .
  91. 2017-03-02 16:48:43 PM - 3.py - [line:96] INFO: file system is :/dev/sda2 .
  92. 2017-03-02 16:48:43 PM - 3.py - [line:96] INFO: file system is :tmpfs .
  93. 2017-03-02 16:48:43 PM - 3.py - [line:96] INFO: file system is :/dev/sda1 .
  94. 2017-03-02 16:48:43 PM - 3.py - [line:96] INFO: file system is :/dev/sda5 .


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天空的鹰
专家姓名：赵飞祥
多年数据库运维和架构经验，对 MySQL、Oracle、PostgreSQL、Greenplum、MongoDB 等多种常见数据库有丰富的运维实践经验，擅长数据库架构设计、维护优化、数据流转、Shell 和 Python 开发；乐于技术交流，网名 yumushui 进行了大量的技术总结和思考分享。

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