Saravanan666/pypi-org huggingface dataset:
Package: log2seq
Log2seq is a python package to help parsing syslog-like messages into word sequences
that is more suitable for further automated analysis.
It is based on a procedure customizable with rules in order, using regular expressions.Document:https://log2seq.readthedocs.ioSource:https://github.com/amulog/log2seqBug Reports:https://github.com/amulog/log2seq/issuesAuthor:Satoru KobayashiLicense:BSD-3-ClauseInstallationYou can install log2seq with pip.pip install log2seqTutorialLog2seq is designed mainly for preprocessing of automated log template generation.
Many implementations of template generation methods requires input log messages in segmented format,
but they only support simple preprocessing, using white spaces.
Log2seq enables more flexible preprocessing enough for parsing practical log messages.For example, sometimes you may face following format of log messages:Jan  1 12:34:56 host-device1 system[12345]: host 2001:0db8:1234::1 (interface:eth0) disconnectedThis message cannot well segmented withstr.split()orre.split(), because the usage of:is not consistent.log2seq processes this message in multiple steps (in default):Process message header (i.e., timestamp and source hostname)Split message body into word sequence by standard symbol strings (e.g., spaces and brackets)Fix words that should not be splitted later (e.g., ipv6 addr)Split words by inconsistent symbol strings (e.g.,:)Following is a sample code:mes = "Jan  1 12:34:56 host-device1 system[12345]: host 2001:0db8:1234::1 (interface:eth0) disconnected"

import log2seq
parser = log2seq.init_parser()

parsed_line = parser.process_line(mes)Here, you can get the parsed information like:>>> parsed_line["timestamp"]
datetime.datetime(2020, 1, 1, 12, 34, 56)

>>> parsed_line["host"]
'host-device1'

>>> parsed_line["words"]
['system', '12345', 'host', '2001:0db8:1234::1', 'interface', 'eth0', 'disconnected']You can see:in IPv6 address is left as is, and other:are removed.This example is using a default parser, but you can also customize your own parser.
For defails, please see the document.
Package: log3
Log3Log3makes it easier to log messages in Python. It comes with a strong default
logging configuration system so you don't configure them yourself.Here are it's main highlights:Easy to use. Just import the module and start using it. This will work for most cases. Unless your logging settings are very specialized
you won't have to tinker much with the configuration.Strong defaults. The default formatter and date formatter will work for just about anyone. It includes the date, time, filename, level, and message. If you need to use a different formatter you can
also do so just as easily.New logging methods. In addition tolog.info,log.debug, etclog3also comes withlog.successto log out successful messagesColored output for terminals. If you're working with the terminal the messages will be colored by default without any additional configurationEasier file logging. No need to create a file handler with new date formatting, and formatting and attach to the logger. The same configuration forSTDERRalso applies to the log. Just importlog_to_fileand specify the path of the log as the argument.InstallationYou can installLog3using pip:pip install log3UsageTo start logging it is as simple as importing theloglogger object and issuing the logging
commands:fromlog3importloglog.info("Hello world")log.success("This message was successful")log.debug("This is a debug message")log.warning("This is a warning")log.error("This is an error")log.critical("This is  a critical error")Log to fileThelog_to_filefunction will allow you to add a file handler to yor logging configuration.First import itfrom log3 import log_to_fileNow you can do:log_to_file('file')
log.info('logged to file')Disable loggingYou can quickly disable logging rather than hardcoding it into your logging
configuration file.log.disable_logging()To enable logging again it is also that simple:log.enable_logging()Author(s)orlandodiazCopyrightCopyright (c) 2018 Orlando DiazFor more info see LICENSE
Package: log4func
log4funcJapanese PageOverviewLog helpers for functions and methods.LicenseMIT LicenseInstallationpippip install log4funcgithubpip install git+https://github.com/bugph0bia/log4func.gitUsage@log_start_endDecorator that logs out the start and end of the target function.Log output using the function passed as argument.Parameterlogging_func(Callable): Log output function, must be able to accept an argument of typestrand log it. Can beprintorloggingmodule'sdebug,info, and more.with_start(bool): Toggles whether or not the start log is output. Default isTrue.with_end(bool): Toggles whether or not the end log is output. Default isTrue.Example@log_start_end(print)deffoo(a,b):print(f'calc{a}+{b}')returna+bfoo(1,2)Outputfoostart
calc1+2fooend@log_args_returnDecorator that logs real arguments and return values of the target function.Log output using the function passed as argument.Parameterlogging_func(Callable): Log output function, must be able to accept an argument of typestrand log it. Can beprintorloggingmodule'sdebug,info, and more.with_args(bool): Toggles whether or not the arguments log is output. Default isTrue.with_return(bool): Toggles whether or not the return log is output. Default isTrue.oneline(bool): Toggles whether or not logs are combined into a single line. Default isFalse.Example@log_args_return(print)deffoo(a,b):print(f'calc{a}+{b}')returna+bfoo(1,b=2)Outputfooargs:1b=2calc1+2fooreturn:3@log_args_return(print,oneline=True)deffoo(a,b):print(f'calc{a}+{b}')returna+bfoo(1,b=2)Outputfooargs:1,b=2calc1+2fooreturn:3@log_tracebackDecorator that logs out a traceback of exceptions raised by the target function.Log output using the function passed as argument.Traceback is output to the screen by default, but it is useful if you want to keep it in a file. (e.g. in the logging module)Parameterlogging_func(Callable): Log output function, must be able to accept an argument of typestrand log it. Can beprintorloggingmodule'sdebug,info, and more.NoteThe part thatlog4func.log_tracebackwraps is also output to traceback.Example@log_traceback(print)deffoo(a,b):returna/bfoo(1,0)OutputTraceback(mostrecentcalllast):
File"...\log4func.py",line184,inwrapperdecorated_func(*args,**kwargs)File"...\test.py",line2,infooa/b
ZeroDivisionError:divisionbyzero@wraps_logging_paramsDecorator that allows the original function name to be output when the function name is logged in the decorator.Supplemental ExplanationThere is a problem that if you apply your own decorator to a function, the function name of the decorator becomes the function name of the original function when you get the original function name withfunc.__name__.
To solve this problem, you can apply@functool.wrapsdecorator to your own decorator.Similarly, if you apply your own decorator to a function, the function name (%(funcName)s) output inside the original function using the logging module will be the decorator's function name.
To solve this problem, you can apply@log4func.wraps_logging_paramsdecorator to your own decorator.NoteIf used with@classmethodor@staticmethod, it must be an inner decorator.
Package: log4j-detector-to-csv
log4j-detector-to-csvThis project contains a script to convert and combine all host specific outputs of thelog4j-detectorlogs in json format to one single CSV file.Getting startedWith Python and pip installedInstall log4j-detector-to-csv with pip:pipinstalllog4j-detector-to-csvRun log4j-detector-to-csv:log4j-detector-to-csv-hOutput:usage:log4j-detector-to-csv[-h]-iINPUT-oOUTPUT

Convertlog4j-detectorjsonfileintoonecsv

optionalarguments:-h,--helpshowthishelpmessageandexit-iINPUT,--inputINPUTInputdirectory-oOUTPUT,--outputOUTPUTOutputdirectoryFrom SourcecodePrerequisites:pythonpoetryClone Repository:gitclonehttps://github.com/richardbischof/log4j-detector-to-csv.gitChange in directory:cdlog4j-detector-to-csv/log4j_detector_to_csvRun Script:pythonmain.py-i$INPUT_DIRECTORY-o$OUTPUT_FILEExample:pythonmain.py-ilogs-oreport.csv
Package: log4me
log4meA simple python logger for personal usage.InstallationUse the package managerpipto install log4me.pipinstalllog4meUsageimportlog4me# Init the logger                 # Create the dictionarylog=log4me.Logger("ServerLog","./log/")# And loglog.info("New Connection","Address ... joined")log.success("Created","New file created")log.warning("Lates version","Client have not the latest version")log.error("File","Cant write to file")LicenseMITChange Log0.0.1 (30.05.2022)First releaseLogs (Info, Success, Warning, Error)Print the logs to a log file0.0.2 (31.05.2022)Change the readme0.0.3 (08.06.2022)Autmatic create directory
Package: log4p
log4pSimple log module for python.UsageInstall:pipinstalllog4pAdd to you script, eg: python a_test_file.py#-*- coding:utf8 -*-importlog4plogger=log4p.GetLogger(__name__)log=logger.loggerlog.debug("Hello Tianfei Hao!")log.info("Enjoy your happy time!")log.error("If you have any better Suggestions, please contact Tianfei Hao at talenhao@gmail.com")log.warning("Thanks for star on github: https://github.com/talenhao/log4p")demo(log4p)[SatJul13talen@tp-arch-tianfeilog4p]$pythona_test_file.py2019-07-1302:23:42,664-__main__-INFO-Enjoyyourhappytime!2019-07-1302:23:42,664-__main__-ERROR-IfyouhaveanybetterSuggestions,pleasecontactTianfeiHaoattalenhao@gmail.com2019-07-1302:23:42,664-__main__-WARNING-Thanksforstarongithub:https://github.com/talenhao/log4p[SatJul13talen@tp-arch-tianfeilog4p]$ls-l*.log
-rw-r--r--1talenusers1195Jul1301:25log4p-debug.log
-rw-r--r--1talenusers0Jul1300:58log4p-errors.log(log4p)[SatJul13talen@tp-arch-tianfeilog4p]$catlog4p-errors.log2019-07-1302:23:42,664ERRORa_test_file.py+7<module>[MainThread]:IfyouhaveanybetterSuggestions,pleasecontactTianfeiHaoattalenhao@gmail.com(log4p)[SatJul13talen@tp-arch-tianfeilog4p]$catlog4p-debug.log2019-07-1302:23:42,664DEBUGa_test_file.py+5<module>[MainThread]:HelloTianfeiHao!2019-07-1302:23:42,664INFOa_test_file.py+6<module>[MainThread]:Enjoyyourhappytime!2019-07-1302:23:42,664ERRORa_test_file.py+7<module>[MainThread]:IfyouhaveanybetterSuggestions,pleasecontactTianfeiHaoattalenhao@gmail.com2019-07-1302:23:42,664WARNINGa_test_file.py+8<module>[MainThread]:Thanksforstarongithub:https://github.com/talenhao/log4pConfig file:Default config file path:<module dir>/log4p.json~/.virtualenvs/<yourpyenv>/lib/python3.7/site-packages/log4p/log4p.jsonIn my notebook, it's in:/home/talen/.virtualenvs/log4p/lib/python3.7/site-packages/log4p/log4p.jsonYou can use your own config file when invoke log4p.GetLogger(config=<your config file path>)Default config file content is:{"version":1,"disable_existing_loggers":false,"formatters":{"simple":{"format":"%(asctime)s - %(name)s - %(levelname)s - %(message)s"},"detail":{"format":"%(asctime)-15s %(levelname)-5s %(filename)s +%(lineno)d %(funcName)s [%(threadName)s]: %(message)s"}},"handlers":{"console":{"class":"logging.StreamHandler","level":"INFO","formatter":"simple","stream":"ext://sys.stdout"},"debug_file_handler":{"class":"logging.handlers.TimedRotatingFileHandler","level":"DEBUG","formatter":"detail","filename":"log4p-debug.log","when":"D","interval":1,"backupCount":30,"encoding":"utf8"},"error_file_handler":{"class":"logging.handlers.RotatingFileHandler","level":"ERROR","formatter":"detail","filename":"log4p-errors.log","maxBytes":10485760,"backupCount":2,"encoding":"utf8"}},"loggers":{"my_module":{"level":"ERROR","handlers":["console"],"propagate":"no"}},"root":{"level":"INFO","handlers":["console","debug_file_handler","error_file_handler"]}}
Package: log4python
Introductionlog4pythonlog for python like java log4j2use config file [log4p.py], in the application root directory.Important UpdateContent:support python 3.7remove flume-logfix some bugsimprove config file documentUsagefrom log4python.Log4python import log
TestLog = log("LogDemo")
TestLog.debug("Debug Log")
TestLog.info("Info Log")

out put like this:
2015-01-20 16:18:47,692 DEBUG [Thread-3] data.LogInsert (LogInsert.py:172) - Debug Log
2015-01-20 16:18:47,692 DEBUG [Thread-3] data.LogInsert (LogInsert.py:173) - Info LogConfig Exampleconfig ={
    'monitorInterval' : 10,                         # auto reload time interval [secs]
    'loggers' :{
        'LogDemo' :{
            'level': "DEBUG",
            'additivity' : False,
            'AppenderRef' : ['LogDemo']
            },
        'root' :{
            'level' : "DEBUG",
            'AppenderRef' : ['output_root']
        }
    },
    'appenders' :{
        'output_root' :{
            'type' :"file",
            'FileName' :"root_error.log",            # log file name
            'backup_count': 5,                       # files count use backup log
            'file_size_limit': 1024 * 1024 * 20,     # single log file size, default :20MB
            'PatternLayout' :"[level:%(levelname)s-file:%(filename)s-lineno:%(lineno)d] %(asctime)s %(message)s"
        },
        'LogDemo' :{
            'type' :"file",
            'FileName' :"LogDemo.log",
            'PatternLayout' :"[level:%(levelname)s-file:%(filename)s-lineno:%(lineno)d] %(asctime)s %(message)s"
        },
        'console' :{
            'type' :"console",
            'target' :"console",
            'PatternLayout' :"[%(levelname)s] %(asctime)s %(message)s"
        }
    }
}
Package: log4tailer
IntroductionThis project aims to provide a different approach to traditional log tailers.
Amongst other features:Multitailing capability. It can tail multiple logs at a timeColors for every level: warn, info, debug, error and fatalEmphasize multiple targets (log traces) given regular expressionsFollow log upon truncation by defaultUser defined colors for each levelSilent (daemonized) modeThrottling mode. Slow down the information being printed in the terminalInactivity log monitoringmail notificationPause Modes freezes output for a limited period of time depending on level found.Analytics. Makes a report of each level found in logs when finished.Why yet another tailer?Most people use tail -F to tail the logs these days. When debugging enterprise
class applications you cannot just follow (in many situations) what is going on
unless you go to the log, less it and check if something was wrong, or just
Ctrl-C tail program and scroll back. Human eye cannot distinguish or grab a
line out of thousands when that information is showed incredibly fast in the
screen. By providing colors, the human eye will discern and quickly identify
specific levels or lines.
Package: log-aggregator-server
Log Aggregator ServerLog Aggregator ServerFree software: MIT licenseDocumentation:https://log-aggregator-server.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.2.1 (2019-10-24)Add the ability to specify filename.0.1.9 (2019-10-10)Add robot name in log file0.1.8 (2019-09-17)Add console output aggregator.0.1.7 (2019-09-06)Change process aggregating list.0.1.6 (2019-09-06)Change author.0.1.5 (2019-09-06)Change E-mail address.0.1.4 (2019-09-06)Add Exception when syslog or roslog not found0.1.2 (2019-09-06)Add delete working directory0.1.1 (2019-09-06)Fix bug during aggregating ros log0.1.0 (2019-09-06)First release on PyPI.
Package: logall
Unifies metric logging from different logging packagesFree software: Apache Software License 2.0Installationpip install logallYou can also install the in-development version with:pip install https://github.com/fvarno/logall/archive/main.zipDocumentationhttps://logall.readthedocs.io/DevelopmentTo run all the tests run:toxNote, to combine the coverage data from all the tox environments run:Windowsset PYTEST_ADDOPTS=--cov-append
toxOtherPYTEST_ADDOPTS=--cov-append toxChangelog0.0.4 (2022-08-09)fix wrong upload on pypi0.0.3 (2022-08-09)temporarily improved coverage for passingadded ignore list for flake0.0.2 (2022-06-23)add get_dir to classesfix package naming0.0.1 (2022-06-23)some minor fixes0.0.0 (2022-06-23)First release on PyPI.
Package: logalpha
A minimalist yet robust approach to logging in Python.
LogAlpha handles the rather basic task of filtering, formatting,
and colorizing metadata alongside messages.InstallationTo installlogalpha:➜ pip install logalphaDocumentationDocumentation is available atlogalpha.readthedocs.io.ContributionsContributions are welcome in the form of suggestions for additional features, pull requests with
new features or bug fixes, etc. If you find bugs or have questions, open anIssuehere. If and
when the project grows, a code of conduct will be provided along side a more comprehensive set of
guidelines for contributing; until then, just be nice.
Package: logalyzer
Parses your bloated HTTP access logs to extract the info you want
about hits from (hopefully) real people instead of just the endless
stream of hackers and bots that passes for web traffic
nowadays. Stores the info in a relational database where you can
access it using all the power of SQL.Uses the power of your multicore CPU withTwisted,AsynQueue, andsAsyncto process log files concurrently and fast. Duplicate entries
are ignored, so you don’t need to fret about redundancies in your
logfiles. (It happens.) The filtering goes forwards and backwards;
once an entry has been determined to come from a bad actor, all log
entries from that IP address are purged and ignored.If you see bot garbage getting through and polluting your logs with
some new attempt at an exploit, just add a rule for it to your rules
lists, starting with whatlogalyzercomes prepackaged with. The next
time you run it, those entries will get purged as well.Optionally produces a list of offender IP addresses that you can use
to deny access to your web server entirely.
Package: logana
Logana.py is a CLI help neteng and sysadmin speed up analyse varnish logs.It’s able go through either plain or rotated gzip files under default /opt/varnish/ folder, depending on the time period that being queried.Here’s also a golang version, without using method of bisection, but it should be good enough to check live logs on platform where has no python installed.
Please check the repo [go-logana](https://github.com/thimoonxy/practiceGo/tree/master/logana).
Package: loganalysis
loganalysisFunctions helping with analysis of log files.Free software: MIT licenseDocumentation:https://loganalysis.readthedocs.io.FeaturesExtract log items matching specified patterns.Extract log items by severity level.Extract callstacks from log file.Read log file into pandas dataframe for further analysis.CreditsThis package was created withCookiecutterand thestbraun/cookiecutter-pypackageproject template based onaudreyr/cookiecutter-pypackage.History0.1.2 (2020-10-19)First release on PyPI.0.1.3 (2021-04-10)Encoding of log file is configurable.extract_level works for thread names containing blanks.
Package: loganalyst
Log analystFeaturesparse log filesfilters by date / timestampscorrelates log lines (start and end of some processing)show total durationfriendly colored outputable to output short summaries"folding" lineskeeps lines not matching an iso timestamp attached to the matching onessupports gzipped filesUsageusage: loga [--extra] [--summary] [--nolog] [--max] [-b DATE] [-e DATE] [-h]
            TOML_FILE LOG_FILE

positional arguments:
  TOML_FILE             (Path, default=None) correlation rules to use
  LOG_FILE              (Path, default=None) (possibly gzipped) log file

options:
  --extra               (bool, default=False) show extra log lines (not
                        matched by iso_regex)
  --summary             (bool, default=False) show summary
  --nolog               (bool, default=False) don't show log
  --max                 (bool, default=False) show max durations
  -b DATE, --begin DATE
                        (Optional[str], default=None) start from a date
  -e DATE, --end DATE   (Optional[str], default=None) stop to a date
  -h, --help            show this help message and exitFor instance, with systemd logs:journalctl -b 5 -o short-iso | loga --summary --nolog correlators/sample.toml -Sample correlationNote: the "loganalyst" section is a configuration, which is optional, use only in case overriding values is needed.Use the documented correlation file incorrelators/sample.toml. You can alsodownload the file.
Package: loganalyzer
Log AnalyzerCollect and analyze log from multiples sourcesFree software: MIT licenseDocumentation:https://loganalyzer.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.1.0 (2019-03-19)First release on PyPI.
Package: log-analyzer
DescriptionLog-analyzer is a human and straightforward log analyzer for rapid troubleshooting.Note:This project starts to be an interview project. Now I am using it to monitor my website traffic.Get startedInstall from githubpip install git+http://github.com/yurilaaziz/log-analyzer.gitInstall from PyPipip install log-analyzerRun log analyzerlog-analyzerBy default, the log-analyzer reads the log from /var/log/access.logRun log analyzer with external configurationLOGANALYZER_CONFIG_FILE=sample.config.yml log-analyzerRun log analyzer with another log fileLOGANALYZER_PARSER_INPUT=/tmp/test.log log-analyzerDesignLog Analyzer containers on three components :Parser Process :Reads the log fileProcess lines following a pattern classPush data to the Persistence driverConsumer Process (Console Display):Reads data from the persistence driverDisplay an array ordered by hitsAlert Manager:Compute rules defined in the pattern alert's classPush notification to persistence driver to be displayed on the consolePersistence Driver:Define interfaces between producer and consumer.Allow persisting data to different data-storeConfigurationLog Analyzer uses Config42 to manage its configuration. that means every variable present in the configuration file could be overloaded from
Environment variables, Configuration file, external data store (ETCD)Here an example of default configuration in YAML format:configuration fileTO DORework the Alert Manager process to Delete Alert Class and read Alerting rules from the configurationRework themainfor a better CLI with 'docopt'Write a persistence driver to support ElasticSearch/InfluxDB data-storeSupport multiple log files/sourcesSupport multiple Persistence drivers
Package: logandprint
Log and PrintA simple logging package that helps you to log what is happening in your application.InstallationYou can installLog and Printusing pip:pipinstalllogandprintUsageTo start logging it is as simple as importing the logandprint object and issuing the logging commands:write, info, error, success, warning, debugTo logging a message to the log:importlogandprintasloglog.write("This is a common log message")log.info("This is log information, it appears blue in the terminal")log.error("This is an error message, it appears red in the terminal")log.success("This is a success message, it appears green in the terminal")log.warning("This is a warning message, it appears yellow in the terminal")log.debug("This is a debug message, it appears white in the terminal")Thewrite,info,error,success,warningmethods accept two parameters, the message and the console flag (boolean) to display or not the message in the terminal.In thedebubmethod, messages will only be displayed in the terminal if debug mode is activelog.debugMode(True)setLogFileBy default, the log is saved in thelog.logfile in the current directory. But you can change the log file by using thesetLogFilefunction.log.setLogFile("./logs/myLogFile.log")debugModeThe log packet will not be printed to the console. You can change this by settingdebugModeto True.log.debugMode(True)To stop printing to the console, change thedebugModesetting to False. Don't worry, the log file will still be writing.log.debugMode(False)enableTo disable thelogyou can call theenablefunction and set it to False.log.enable(False)And to enable it again you can call theenablefunction and set it to True.log.enable(True)export_to_csvYou can export the log to a csv file by calling theexport_to_csvfunction.log.export_to_csv("./logs/myLogFile.csv")AuthorGuilherme SaldanhaCopyrightThis software is free to use and distribute. You can use it for any purpose, but please give credit to the original author.For more info see LICENSE file.