Python notes 6

Log module

1 Logger object used to generate the log
Logger1 = Logging.getlogger ("Banking Business related")
Log names are log-related information used to differentiate records

2 Filter object for filtering logs
3 Formmatter Object Custom log format

4 The whereabouts of the handler object control log 1 file 2 terminal
FH1 = logging. Filehandler ("A1.log", "Encoding=utf-8")

ch = logging. Streamhandler ()

# #建立logger对象与handler的绑定对象
Logger1.addhandler (FH1)

Logger1.addhandler (CH)

#format object, customizing the format of the log
Formatter1 = logging. Formatter (
FMT = ""
DATEFMT =
)

To bind a log format to a handler object

Fh1.setformatter (Formatter)

# # D set Log level '
1 Logger
2 handler only 2 layers of control, the final log will enter the object
Logger.setlevel (10)

# #格式
Import OS
LOGGING = {
' Version ': 1,
' Disable_existing_loggers ': True,
' formatters ': {
' Lqm_format ': {
' Format ': '% (levelname) s% (asctime) s% (module) s% (process) d% (thread) d% (message) s '
},
' Simple ': {
' Format ': '% (levelname) s% (message) s '
},
},
' Filters ': {
},
' Handlers ': {
' System ': {
' Class ': ' Logging.handlers.TimedRotatingFileHandler ',
# # ' filename ': os.getenv (' Logs_path ', ' LOGS ') + "/" + "System.log",
' filename ': Os.path.join (os.getenv (' Logs_path ', ' LOGS '), "System.log"),
' Formatter ': ' Lqm_format ',
' When ': ' Midnight ',
' Interval ': 1,
' Backupcount ': 30,
},
' User ': {
' Class ': ' Logging.handlers.TimedRotatingFileHandler ',
' filename ': os.getenv (' Logs_path ', ' LOGS ') + "/" + "User.log",
' Formatter ': ' Lqm_format ',
' When ': ' Midnight ',
' Interval ': 1,
' Backupcount ': 30,
},
},
' Loggers ': {
' User ': {
' Handlers ': [' user ',],
' Level ': os.getenv (' logs_level ', ' DEBUG '),
' Propagate ': True,
},
' System ': {
' Handlers ': [' system ',],
' Level ': os.getenv (' logs_level ', ' DEBUG '),
' Propagate ': True,
},
}
}

Serialization of two
Json
Only some Python data types are supported, and the language type supports
Pickle
Python support only, including all Python types

DIC = {' name ': ' Esz '}
With open ("User.json", W) as F:
# #等于将dic的文件, write to F
Json.dump (DIC,F)
# # alone F data and put in Dict
DIC = Json.load (f)

1 Import Pickle
2
3 dic={' name ': ' Alvin ', ' age ': at all, ' sex ': ' Male '}
4
5 Print (Type (DIC)) #<class ' Dict ' >
6
7 J=pickle.dumps (DIC)
8 Print (Type (j)) #<class ' bytes ' >
9
10
One F=open (' serialized object _pickle ', ' WB ') #注意是w是写入str, WB is written bytes,j is ' bytes '
F.write (j) #-------------------equivalent to Pickle.dump (dic,f)
13
F.close ()
#-------------------------Deserialization
Import Pickle
F=open (' serialized object _pickle ', ' RB ')
18
Data=pickle.loads (F.read ()) # equivalent to Data=pickle.load (f)
20
21st
Print (data[' age ')

Three-hash module

 hash 1  校验文本内容      2  hash 固定      3 明文转密码进行传输m = hashlib.md5()m.update(b"hello")   这个等于  m.update("hello".encode("utf-8"))m.update(b"ss")m.hexdigest() 获取到密文密码import hmacm = hmac.new(‘sss‘.encode("utf-8"))m1=hashlib.sha256()m1.update(‘hello‘.encode(‘utf-8‘))print(m1.hexdigest())m2=hashlib.sha512()m2.update(‘hello‘.encode(‘utf-8‘))print(m2.hexdigest())

Four RE modules
Regular with a bunch of special symbols to go to the contents of a text/string matching symbol rule
Re.findall ("\w", str)

重复匹配  。 ？ * + {m,n}print(re.findall)

Import re

Line breaks do not match

Print (Re.findall ("A.C", "123131asc,ssfafaa-c"))

Even if line breaks are matched

Print (Re.findall ("A.C", "123131asc,ssf\nafaa-c", re. Dotall))

? Match 0 or one, there must match, if not also can

Print (Re.findall (' ab? ', "AA Ssafsfaabbssa"))

* Match 0 or infinity + match one or infinity {n,m}print (Re.findall (' \d+. \d+ '). * Greedy match, select the most value

Print (Re.findall ("A.*c", ' assfafasfcssssfafsfsf111223c '))

Match to assfafasfcssssfafsfsf111223c. A non-greedy match that matches the value of a compound that is less early
Print (Re.findall ("A.C ", ' assfafasfcssssfafsfsf111223c ')) match to ASFC Group () with! Conpan (ies|y) can match ies with Yconpan (? ies|y) can be matched to conpanies and Conpany

Print (Re.findall (' href= ' (.) "', ' click ')) #[' http://www.baidu.com ']
Print (Re.findall (' href= ' (?:.) "', ' click ')) #[' href=" http://www.baidu.com "']

[] The match is also a character, but the character must be defined within []

Print (Re.findall (' A[a-za-z]c ', "ABCSACADCAOC"))
Rex = ' a[+-*/] ' # #去匹配 +,-*,/

Print (Re.findall (' e ', ' Alex Make Love ')

Python notes 6