python data logger

Python logger module and pythonlogger Module1 Introduction to the logging Module The logging module is a standard module built in Python. It is mainly used to output running logs. It can be used to set the log output level, log storage path, and log file rollback. Compared with print, it has the following advantages:Logger is never directly instantiated and often

, if the parent logger level is not set, continue to find the parent's parent, finally found root, if the root set to use it, if root is not set, the default value of root is warning3. Generate some level of information on a logger, first and logger levels, if the message level is lower than Logger's EFFECTIVELEVL, the message is discarded and the message is no l

For details about how to implement the Logger printing function in Python, pythonlogger Preface It is well known that there is a logging kit specifically used for logger printing in Python, but the logger of this kit only receives the printing information of a string type

Python's logging module provides a common logging system, and skilled use of the logging module makes it easy for developers to develop third-party modules or their own Python applications.Python uses the logging module to log logs involving four main classes:Logger: Provides an interface that the application can use directly;Handler: Sends (logger created) log records to the appropriate destination.Filter:

Links:Http://www.cnblogs.com/anpengapple/p/5048123.htmlJsonImport JSONThe list of objects that are serialized.JSON, though it looks like a dictionary, is a string.The quotation marks in the JSON standard format are double quotes.This process is serialized and written to the file.Deserialization:Serialization stringAnother way to apply dumpWrite the content and, F is equivalent to adding a write operationAnother way to apply loadEquivalent to read and loadsPickleThe Pickle module has the advanta

the Logging.handlers class is used to obtain a handler. The approximate wording is:1 logger = Logging.getlogger ()#Get Logger2 handler = Logging.handlers.TimedRotatingFileHandler (logfile, "s", 1, 0) # cut log 3 handler.suffix = ' %y%m%d" post-cut log settings suffix 4 Logger.addhandler (handler) # add logger on Handler5 logger.fatal ( Datetime.datetime.now (). Strftime ( ' %y-%m-%d# is written in the

) s ', datefmt= '%y/%m/%d%h:%m:%s ') ch.setformatter (Ch_formatter) fh.setformatter (fh_formatter) logger.addhandler (CH) logger.addhandler (FH) # Here you need to return the logger to returnlogger ' ' is an additional assignment statement, and calling the log module simplyTo invoke the following 1 or more variables is OK no need to call the above function, each required log name first defines the good one variable in addition, the following defini

Usage of the Log moduleJSON sectionFirst Test code: note STR can directly handle the dictionary eval can directly convert the string into a dictionary formdic={' Key1 ':' Value1 ',' Key2 ':' Value2 '}Data=StrDiC#字典直接转成字符串Printtype (data), data) # # with open (' Db.txt ', ' W ', encoding= ' utf-8 ') As f: # f.write (str (DIC)) # with open ( Db.txt ', Enco

/';//36 Krypton/*Open Data Logger*/ functionDatacollectorstartup () {datarequest (URL_36KR);}/*Data Request*/functionDatarequest (Dataurl) {request ({Url:dataurl, method:' GET ' }, function(err, res, body) {if(Err) {Console.log (Dataurl) console.error (' [error]collection ' +err); return; } Switch(dataurl) { CaseUrl_36kr:dataparse36kr (body); Break;

Recently just done a project about Socket TCP communication.The demand side provides an ARM machine, and a data logger, which requires me to do a service-side interaction with the data collector.Objective:Data logger: Periodically sends the readings to the server.Server: The data