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diff --git a/Doc/howto/logging-cookbook.rst b/Doc/howto/logging-cookbook.rst new file mode 100644 index 0000000..ad9f666 --- /dev/null +++ b/Doc/howto/logging-cookbook.rst @@ -0,0 +1,684 @@ +.. _logging-cookbook: + +================ +Logging Cookbook +================ + +:Author: Vinay Sajip <vinay_sajip at red-dove dot com> + +This page contains a number of recipes related to logging, which have been found +useful in the past. + +.. currentmodule:: logging + +Using logging in multiple modules +--------------------------------- + +Multiple calls to ``logging.getLogger('someLogger')`` return a reference to the +same logger object. This is true not only within the same module, but also +across modules as long as it is in the same Python interpreter process. It is +true for references to the same object; additionally, application code can +define and configure a parent logger in one module and create (but not +configure) a child logger in a separate module, and all logger calls to the +child will pass up to the parent. Here is a main module:: + + import logging + import auxiliary_module + + # create logger with 'spam_application' + logger = logging.getLogger('spam_application') + logger.setLevel(logging.DEBUG) + # create file handler which logs even debug messages + fh = logging.FileHandler('spam.log') + fh.setLevel(logging.DEBUG) + # create console handler with a higher log level + ch = logging.StreamHandler() + ch.setLevel(logging.ERROR) + # create formatter and add it to the handlers + formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + fh.setFormatter(formatter) + ch.setFormatter(formatter) + # add the handlers to the logger + logger.addHandler(fh) + logger.addHandler(ch) + + logger.info('creating an instance of auxiliary_module.Auxiliary') + a = auxiliary_module.Auxiliary() + logger.info('created an instance of auxiliary_module.Auxiliary') + logger.info('calling auxiliary_module.Auxiliary.do_something') + a.do_something() + logger.info('finished auxiliary_module.Auxiliary.do_something') + logger.info('calling auxiliary_module.some_function()') + auxiliary_module.some_function() + logger.info('done with auxiliary_module.some_function()') + +Here is the auxiliary module:: + + import logging + + # create logger + module_logger = logging.getLogger('spam_application.auxiliary') + + class Auxiliary: + def __init__(self): + self.logger = logging.getLogger('spam_application.auxiliary.Auxiliary') + self.logger.info('creating an instance of Auxiliary') + def do_something(self): + self.logger.info('doing something') + a = 1 + 1 + self.logger.info('done doing something') + + def some_function(): + module_logger.info('received a call to "some_function"') + +The output looks like this:: + + 2005-03-23 23:47:11,663 - spam_application - INFO - + creating an instance of auxiliary_module.Auxiliary + 2005-03-23 23:47:11,665 - spam_application.auxiliary.Auxiliary - INFO - + creating an instance of Auxiliary + 2005-03-23 23:47:11,665 - spam_application - INFO - + created an instance of auxiliary_module.Auxiliary + 2005-03-23 23:47:11,668 - spam_application - INFO - + calling auxiliary_module.Auxiliary.do_something + 2005-03-23 23:47:11,668 - spam_application.auxiliary.Auxiliary - INFO - + doing something + 2005-03-23 23:47:11,669 - spam_application.auxiliary.Auxiliary - INFO - + done doing something + 2005-03-23 23:47:11,670 - spam_application - INFO - + finished auxiliary_module.Auxiliary.do_something + 2005-03-23 23:47:11,671 - spam_application - INFO - + calling auxiliary_module.some_function() + 2005-03-23 23:47:11,672 - spam_application.auxiliary - INFO - + received a call to 'some_function' + 2005-03-23 23:47:11,673 - spam_application - INFO - + done with auxiliary_module.some_function() + +Multiple handlers and formatters +-------------------------------- + +Loggers are plain Python objects. The :func:`addHandler` method has no minimum +or maximum quota for the number of handlers you may add. Sometimes it will be +beneficial for an application to log all messages of all severities to a text +file while simultaneously logging errors or above to the console. To set this +up, simply configure the appropriate handlers. The logging calls in the +application code will remain unchanged. Here is a slight modification to the +previous simple module-based configuration example:: + + import logging + + logger = logging.getLogger('simple_example') + logger.setLevel(logging.DEBUG) + # create file handler which logs even debug messages + fh = logging.FileHandler('spam.log') + fh.setLevel(logging.DEBUG) + # create console handler with a higher log level + ch = logging.StreamHandler() + ch.setLevel(logging.ERROR) + # create formatter and add it to the handlers + formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + ch.setFormatter(formatter) + fh.setFormatter(formatter) + # add the handlers to logger + logger.addHandler(ch) + logger.addHandler(fh) + + # 'application' code + logger.debug('debug message') + logger.info('info message') + logger.warn('warn message') + logger.error('error message') + logger.critical('critical message') + +Notice that the 'application' code does not care about multiple handlers. All +that changed was the addition and configuration of a new handler named *fh*. + +The ability to create new handlers with higher- or lower-severity filters can be +very helpful when writing and testing an application. Instead of using many +``print`` statements for debugging, use ``logger.debug``: Unlike the print +statements, which you will have to delete or comment out later, the logger.debug +statements can remain intact in the source code and remain dormant until you +need them again. At that time, the only change that needs to happen is to +modify the severity level of the logger and/or handler to debug. + +.. _multiple-destinations: + +Logging to multiple destinations +-------------------------------- + +Let's say you want to log to console and file with different message formats and +in differing circumstances. Say you want to log messages with levels of DEBUG +and higher to file, and those messages at level INFO and higher to the console. +Let's also assume that the file should contain timestamps, but the console +messages should not. Here's how you can achieve this:: + + import logging + + # set up logging to file - see previous section for more details + logging.basicConfig(level=logging.DEBUG, + format='%(asctime)s %(name)-12s %(levelname)-8s %(message)s', + datefmt='%m-%d %H:%M', + filename='/temp/myapp.log', + filemode='w') + # define a Handler which writes INFO messages or higher to the sys.stderr + console = logging.StreamHandler() + console.setLevel(logging.INFO) + # set a format which is simpler for console use + formatter = logging.Formatter('%(name)-12s: %(levelname)-8s %(message)s') + # tell the handler to use this format + console.setFormatter(formatter) + # add the handler to the root logger + logging.getLogger('').addHandler(console) + + # Now, we can log to the root logger, or any other logger. First the root... + logging.info('Jackdaws love my big sphinx of quartz.') + + # Now, define a couple of other loggers which might represent areas in your + # application: + + logger1 = logging.getLogger('myapp.area1') + logger2 = logging.getLogger('myapp.area2') + + logger1.debug('Quick zephyrs blow, vexing daft Jim.') + logger1.info('How quickly daft jumping zebras vex.') + logger2.warning('Jail zesty vixen who grabbed pay from quack.') + logger2.error('The five boxing wizards jump quickly.') + +When you run this, on the console you will see :: + + root : INFO Jackdaws love my big sphinx of quartz. + myapp.area1 : INFO How quickly daft jumping zebras vex. + myapp.area2 : WARNING Jail zesty vixen who grabbed pay from quack. + myapp.area2 : ERROR The five boxing wizards jump quickly. + +and in the file you will see something like :: + + 10-22 22:19 root INFO Jackdaws love my big sphinx of quartz. + 10-22 22:19 myapp.area1 DEBUG Quick zephyrs blow, vexing daft Jim. + 10-22 22:19 myapp.area1 INFO How quickly daft jumping zebras vex. + 10-22 22:19 myapp.area2 WARNING Jail zesty vixen who grabbed pay from quack. + 10-22 22:19 myapp.area2 ERROR The five boxing wizards jump quickly. + +As you can see, the DEBUG message only shows up in the file. The other messages +are sent to both destinations. + +This example uses console and file handlers, but you can use any number and +combination of handlers you choose. + + +Configuration server example +---------------------------- + +Here is an example of a module using the logging configuration server:: + + import logging + import logging.config + import time + import os + + # read initial config file + logging.config.fileConfig('logging.conf') + + # create and start listener on port 9999 + t = logging.config.listen(9999) + t.start() + + logger = logging.getLogger('simpleExample') + + try: + # loop through logging calls to see the difference + # new configurations make, until Ctrl+C is pressed + while True: + logger.debug('debug message') + logger.info('info message') + logger.warn('warn message') + logger.error('error message') + logger.critical('critical message') + time.sleep(5) + except KeyboardInterrupt: + # cleanup + logging.config.stopListening() + t.join() + +And here is a script that takes a filename and sends that file to the server, +properly preceded with the binary-encoded length, as the new logging +configuration:: + + #!/usr/bin/env python + import socket, sys, struct + + with open(sys.argv[1], 'rb') as f: + data_to_send = f.read() + + HOST = 'localhost' + PORT = 9999 + s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + print('connecting...') + s.connect((HOST, PORT)) + print('sending config...') + s.send(struct.pack('>L', len(data_to_send))) + s.send(data_to_send) + s.close() + print('complete') + + +.. _network-logging: + +Sending and receiving logging events across a network +----------------------------------------------------- + +Let's say you want to send logging events across a network, and handle them at +the receiving end. A simple way of doing this is attaching a +:class:`SocketHandler` instance to the root logger at the sending end:: + + import logging, logging.handlers + + rootLogger = logging.getLogger('') + rootLogger.setLevel(logging.DEBUG) + socketHandler = logging.handlers.SocketHandler('localhost', + logging.handlers.DEFAULT_TCP_LOGGING_PORT) + # don't bother with a formatter, since a socket handler sends the event as + # an unformatted pickle + rootLogger.addHandler(socketHandler) + + # Now, we can log to the root logger, or any other logger. First the root... + logging.info('Jackdaws love my big sphinx of quartz.') + + # Now, define a couple of other loggers which might represent areas in your + # application: + + logger1 = logging.getLogger('myapp.area1') + logger2 = logging.getLogger('myapp.area2') + + logger1.debug('Quick zephyrs blow, vexing daft Jim.') + logger1.info('How quickly daft jumping zebras vex.') + logger2.warning('Jail zesty vixen who grabbed pay from quack.') + logger2.error('The five boxing wizards jump quickly.') + +At the receiving end, you can set up a receiver using the :mod:`socketserver` +module. Here is a basic working example:: + + import pickle + import logging + import logging.handlers + import socketserver + import struct + + + class LogRecordStreamHandler(socketserver.StreamRequestHandler): + """Handler for a streaming logging request. + + This basically logs the record using whatever logging policy is + configured locally. + """ + + def handle(self): + """ + Handle multiple requests - each expected to be a 4-byte length, + followed by the LogRecord in pickle format. Logs the record + according to whatever policy is configured locally. + """ + while True: + chunk = self.connection.recv(4) + if len(chunk) < 4: + break + slen = struct.unpack('>L', chunk)[0] + chunk = self.connection.recv(slen) + while len(chunk) < slen: + chunk = chunk + self.connection.recv(slen - len(chunk)) + obj = self.unPickle(chunk) + record = logging.makeLogRecord(obj) + self.handleLogRecord(record) + + def unPickle(self, data): + return pickle.loads(data) + + def handleLogRecord(self, record): + # if a name is specified, we use the named logger rather than the one + # implied by the record. + if self.server.logname is not None: + name = self.server.logname + else: + name = record.name + logger = logging.getLogger(name) + # N.B. EVERY record gets logged. This is because Logger.handle + # is normally called AFTER logger-level filtering. If you want + # to do filtering, do it at the client end to save wasting + # cycles and network bandwidth! + logger.handle(record) + + class LogRecordSocketReceiver(socketserver.ThreadingTCPServer): + """ + Simple TCP socket-based logging receiver suitable for testing. + """ + + allow_reuse_address = 1 + + def __init__(self, host='localhost', + port=logging.handlers.DEFAULT_TCP_LOGGING_PORT, + handler=LogRecordStreamHandler): + socketserver.ThreadingTCPServer.__init__(self, (host, port), handler) + self.abort = 0 + self.timeout = 1 + self.logname = None + + def serve_until_stopped(self): + import select + abort = 0 + while not abort: + rd, wr, ex = select.select([self.socket.fileno()], + [], [], + self.timeout) + if rd: + self.handle_request() + abort = self.abort + + def main(): + logging.basicConfig( + format='%(relativeCreated)5d %(name)-15s %(levelname)-8s %(message)s') + tcpserver = LogRecordSocketReceiver() + print('About to start TCP server...') + tcpserver.serve_until_stopped() + + if __name__ == '__main__': + main() + +First run the server, and then the client. On the client side, nothing is +printed on the console; on the server side, you should see something like:: + + About to start TCP server... + 59 root INFO Jackdaws love my big sphinx of quartz. + 59 myapp.area1 DEBUG Quick zephyrs blow, vexing daft Jim. + 69 myapp.area1 INFO How quickly daft jumping zebras vex. + 69 myapp.area2 WARNING Jail zesty vixen who grabbed pay from quack. + 69 myapp.area2 ERROR The five boxing wizards jump quickly. + +Note that there are some security issues with pickle in some scenarios. If +these affect you, you can use an alternative serialization scheme by overriding +the :meth:`makePickle` method and implementing your alternative there, as +well as adapting the above script to use your alternative serialization. + + +.. _context-info: + +Adding contextual information to your logging output +---------------------------------------------------- + +Sometimes you want logging output to contain contextual information in +addition to the parameters passed to the logging call. For example, in a +networked application, it may be desirable to log client-specific information +in the log (e.g. remote client's username, or IP address). Although you could +use the *extra* parameter to achieve this, it's not always convenient to pass +the information in this way. While it might be tempting to create +:class:`Logger` instances on a per-connection basis, this is not a good idea +because these instances are not garbage collected. While this is not a problem +in practice, when the number of :class:`Logger` instances is dependent on the +level of granularity you want to use in logging an application, it could +be hard to manage if the number of :class:`Logger` instances becomes +effectively unbounded. + + +Using LoggerAdapters to impart contextual information +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +An easy way in which you can pass contextual information to be output along +with logging event information is to use the :class:`LoggerAdapter` class. +This class is designed to look like a :class:`Logger`, so that you can call +:meth:`debug`, :meth:`info`, :meth:`warning`, :meth:`error`, +:meth:`exception`, :meth:`critical` and :meth:`log`. These methods have the +same signatures as their counterparts in :class:`Logger`, so you can use the +two types of instances interchangeably. + +When you create an instance of :class:`LoggerAdapter`, you pass it a +:class:`Logger` instance and a dict-like object which contains your contextual +information. When you call one of the logging methods on an instance of +:class:`LoggerAdapter`, it delegates the call to the underlying instance of +:class:`Logger` passed to its constructor, and arranges to pass the contextual +information in the delegated call. Here's a snippet from the code of +:class:`LoggerAdapter`:: + + def debug(self, msg, *args, **kwargs): + """ + Delegate a debug call to the underlying logger, after adding + contextual information from this adapter instance. + """ + msg, kwargs = self.process(msg, kwargs) + self.logger.debug(msg, *args, **kwargs) + +The :meth:`process` method of :class:`LoggerAdapter` is where the contextual +information is added to the logging output. It's passed the message and +keyword arguments of the logging call, and it passes back (potentially) +modified versions of these to use in the call to the underlying logger. The +default implementation of this method leaves the message alone, but inserts +an 'extra' key in the keyword argument whose value is the dict-like object +passed to the constructor. Of course, if you had passed an 'extra' keyword +argument in the call to the adapter, it will be silently overwritten. + +The advantage of using 'extra' is that the values in the dict-like object are +merged into the :class:`LogRecord` instance's __dict__, allowing you to use +customized strings with your :class:`Formatter` instances which know about +the keys of the dict-like object. If you need a different method, e.g. if you +want to prepend or append the contextual information to the message string, +you just need to subclass :class:`LoggerAdapter` and override :meth:`process` +to do what you need. Here's an example script which uses this class, which +also illustrates what dict-like behaviour is needed from an arbitrary +'dict-like' object for use in the constructor:: + + import logging + + class ConnInfo: + """ + An example class which shows how an arbitrary class can be used as + the 'extra' context information repository passed to a LoggerAdapter. + """ + + def __getitem__(self, name): + """ + To allow this instance to look like a dict. + """ + from random import choice + if name == 'ip': + result = choice(['127.0.0.1', '192.168.0.1']) + elif name == 'user': + result = choice(['jim', 'fred', 'sheila']) + else: + result = self.__dict__.get(name, '?') + return result + + def __iter__(self): + """ + To allow iteration over keys, which will be merged into + the LogRecord dict before formatting and output. + """ + keys = ['ip', 'user'] + keys.extend(self.__dict__.keys()) + return keys.__iter__() + + if __name__ == '__main__': + from random import choice + levels = (logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR, logging.CRITICAL) + a1 = logging.LoggerAdapter(logging.getLogger('a.b.c'), + { 'ip' : '123.231.231.123', 'user' : 'sheila' }) + logging.basicConfig(level=logging.DEBUG, + format='%(asctime)-15s %(name)-5s %(levelname)-8s IP: %(ip)-15s User: %(user)-8s %(message)s') + a1.debug('A debug message') + a1.info('An info message with %s', 'some parameters') + a2 = logging.LoggerAdapter(logging.getLogger('d.e.f'), ConnInfo()) + for x in range(10): + lvl = choice(levels) + lvlname = logging.getLevelName(lvl) + a2.log(lvl, 'A message at %s level with %d %s', lvlname, 2, 'parameters') + +When this script is run, the output should look something like this:: + + 2008-01-18 14:49:54,023 a.b.c DEBUG IP: 123.231.231.123 User: sheila A debug message + 2008-01-18 14:49:54,023 a.b.c INFO IP: 123.231.231.123 User: sheila An info message with some parameters + 2008-01-18 14:49:54,023 d.e.f CRITICAL IP: 192.168.0.1 User: jim A message at CRITICAL level with 2 parameters + 2008-01-18 14:49:54,033 d.e.f INFO IP: 192.168.0.1 User: jim A message at INFO level with 2 parameters + 2008-01-18 14:49:54,033 d.e.f WARNING IP: 192.168.0.1 User: sheila A message at WARNING level with 2 parameters + 2008-01-18 14:49:54,033 d.e.f ERROR IP: 127.0.0.1 User: fred A message at ERROR level with 2 parameters + 2008-01-18 14:49:54,033 d.e.f ERROR IP: 127.0.0.1 User: sheila A message at ERROR level with 2 parameters + 2008-01-18 14:49:54,033 d.e.f WARNING IP: 192.168.0.1 User: sheila A message at WARNING level with 2 parameters + 2008-01-18 14:49:54,033 d.e.f WARNING IP: 192.168.0.1 User: jim A message at WARNING level with 2 parameters + 2008-01-18 14:49:54,033 d.e.f INFO IP: 192.168.0.1 User: fred A message at INFO level with 2 parameters + 2008-01-18 14:49:54,033 d.e.f WARNING IP: 192.168.0.1 User: sheila A message at WARNING level with 2 parameters + 2008-01-18 14:49:54,033 d.e.f WARNING IP: 127.0.0.1 User: jim A message at WARNING level with 2 parameters + + +.. _filters-contextual: + +Using Filters to impart contextual information +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +You can also add contextual information to log output using a user-defined +:class:`Filter`. ``Filter`` instances are allowed to modify the ``LogRecords`` +passed to them, including adding additional attributes which can then be output +using a suitable format string, or if needed a custom :class:`Formatter`. + +For example in a web application, the request being processed (or at least, +the interesting parts of it) can be stored in a threadlocal +(:class:`threading.local`) variable, and then accessed from a ``Filter`` to +add, say, information from the request - say, the remote IP address and remote +user's username - to the ``LogRecord``, using the attribute names 'ip' and +'user' as in the ``LoggerAdapter`` example above. In that case, the same format +string can be used to get similar output to that shown above. Here's an example +script:: + + import logging + from random import choice + + class ContextFilter(logging.Filter): + """ + This is a filter which injects contextual information into the log. + + Rather than use actual contextual information, we just use random + data in this demo. + """ + + USERS = ['jim', 'fred', 'sheila'] + IPS = ['123.231.231.123', '127.0.0.1', '192.168.0.1'] + + def filter(self, record): + + record.ip = choice(ContextFilter.IPS) + record.user = choice(ContextFilter.USERS) + return True + + if __name__ == '__main__': + levels = (logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR, logging.CRITICAL) + logging.basicConfig(level=logging.DEBUG, + format='%(asctime)-15s %(name)-5s %(levelname)-8s IP: %(ip)-15s User: %(user)-8s %(message)s') + a1 = logging.getLogger('a.b.c') + a2 = logging.getLogger('d.e.f') + + f = ContextFilter() + a1.addFilter(f) + a2.addFilter(f) + a1.debug('A debug message') + a1.info('An info message with %s', 'some parameters') + for x in range(10): + lvl = choice(levels) + lvlname = logging.getLevelName(lvl) + a2.log(lvl, 'A message at %s level with %d %s', lvlname, 2, 'parameters') + +which, when run, produces something like:: + + 2010-09-06 22:38:15,292 a.b.c DEBUG IP: 123.231.231.123 User: fred A debug message + 2010-09-06 22:38:15,300 a.b.c INFO IP: 192.168.0.1 User: sheila An info message with some parameters + 2010-09-06 22:38:15,300 d.e.f CRITICAL IP: 127.0.0.1 User: sheila A message at CRITICAL level with 2 parameters + 2010-09-06 22:38:15,300 d.e.f ERROR IP: 127.0.0.1 User: jim A message at ERROR level with 2 parameters + 2010-09-06 22:38:15,300 d.e.f DEBUG IP: 127.0.0.1 User: sheila A message at DEBUG level with 2 parameters + 2010-09-06 22:38:15,300 d.e.f ERROR IP: 123.231.231.123 User: fred A message at ERROR level with 2 parameters + 2010-09-06 22:38:15,300 d.e.f CRITICAL IP: 192.168.0.1 User: jim A message at CRITICAL level with 2 parameters + 2010-09-06 22:38:15,300 d.e.f CRITICAL IP: 127.0.0.1 User: sheila A message at CRITICAL level with 2 parameters + 2010-09-06 22:38:15,300 d.e.f DEBUG IP: 192.168.0.1 User: jim A message at DEBUG level with 2 parameters + 2010-09-06 22:38:15,301 d.e.f ERROR IP: 127.0.0.1 User: sheila A message at ERROR level with 2 parameters + 2010-09-06 22:38:15,301 d.e.f DEBUG IP: 123.231.231.123 User: fred A message at DEBUG level with 2 parameters + 2010-09-06 22:38:15,301 d.e.f INFO IP: 123.231.231.123 User: fred A message at INFO level with 2 parameters + + +.. _multiple-processes: + +Logging to a single file from multiple processes +------------------------------------------------ + +Although logging is thread-safe, and logging to a single file from multiple +threads in a single process *is* supported, logging to a single file from +*multiple processes* is *not* supported, because there is no standard way to +serialize access to a single file across multiple processes in Python. If you +need to log to a single file from multiple processes, one way of doing this is +to have all the processes log to a :class:`SocketHandler`, and have a separate +process which implements a socket server which reads from the socket and logs +to file. (If you prefer, you can dedicate one thread in one of the existing +processes to perform this function.) The following section documents this +approach in more detail and includes a working socket receiver which can be +used as a starting point for you to adapt in your own applications. + +If you are using a recent version of Python which includes the +:mod:`multiprocessing` module, you could write your own handler which uses the +:class:`Lock` class from this module to serialize access to the file from +your processes. The existing :class:`FileHandler` and subclasses do not make +use of :mod:`multiprocessing` at present, though they may do so in the future. +Note that at present, the :mod:`multiprocessing` module does not provide +working lock functionality on all platforms (see +http://bugs.python.org/issue3770). + +.. currentmodule:: logging.handlers + + +Using file rotation +------------------- + +.. sectionauthor:: Doug Hellmann, Vinay Sajip (changes) +.. (see <http://blog.doughellmann.com/2007/05/pymotw-logging.html>) + +Sometimes you want to let a log file grow to a certain size, then open a new +file and log to that. You may want to keep a certain number of these files, and +when that many files have been created, rotate the files so that the number of +files and the size of the files both remain bounded. For this usage pattern, the +logging package provides a :class:`RotatingFileHandler`:: + + import glob + import logging + import logging.handlers + + LOG_FILENAME = 'logging_rotatingfile_example.out' + + # Set up a specific logger with our desired output level + my_logger = logging.getLogger('MyLogger') + my_logger.setLevel(logging.DEBUG) + + # Add the log message handler to the logger + handler = logging.handlers.RotatingFileHandler( + LOG_FILENAME, maxBytes=20, backupCount=5) + + my_logger.addHandler(handler) + + # Log some messages + for i in range(20): + my_logger.debug('i = %d' % i) + + # See what files are created + logfiles = glob.glob('%s*' % LOG_FILENAME) + + for filename in logfiles: + print(filename) + +The result should be 6 separate files, each with part of the log history for the +application:: + + logging_rotatingfile_example.out + logging_rotatingfile_example.out.1 + logging_rotatingfile_example.out.2 + logging_rotatingfile_example.out.3 + logging_rotatingfile_example.out.4 + logging_rotatingfile_example.out.5 + +The most current file is always :file:`logging_rotatingfile_example.out`, +and each time it reaches the size limit it is renamed with the suffix +``.1``. Each of the existing backup files is renamed to increment the suffix +(``.1`` becomes ``.2``, etc.) and the ``.6`` file is erased. + +Obviously this example sets the log length much much too small as an extreme +example. You would want to set *maxBytes* to an appropriate value. + |