logging.handlers — Gestionnaires de journalisation

Code source : Lib/logging/handlers.py

Important

Cette page contient uniquement des informations de référence. Pour des tutoriels, veuillez consulter

• Tutoriel basique

• Tutoriel avancé

• Recettes pour la journalisation

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Les gestionnaires suivants, très utiles, sont fournis dans le paquet. Notez que trois des gestionnaires (StreamHandler, FileHandler et NullHandler) sont en réalité définis dans le module logging lui-même, mais qu’ils sont documentés ici avec les autres gestionnaires.

Gestionnaire à flux — StreamHandler

La classe StreamHandler, du paquet logging, envoie les sorties de journalisation dans des flux tels que sys.stdout, sys.stderr ou n’importe quel objet fichier-compatible (ou, plus précisément, tout objet qui gère les méthodes write() et flush()).

class logging.StreamHandler(stream=None)

Renvoie une nouvelle instance de la classe StreamHandler. Si stream est spécifié, l’instance l’utilise pour les sorties de journalisation ; autrement elle utilise sys.stderr.

emit(record)

If a formatter is specified, it is used to format the record. The record is then written to the stream with a terminator. If exception information is present, it is formatted using traceback.print_exception() and appended to the stream.

flush()

Purge le flux en appelant sa méthode flush(). Notez que la méthode close() est héritée de Handler donc elle n'écrit rien. Par conséquent, un appel explicite à flush() peut parfois s'avérer nécessaire.

setStream(stream)

Définit le flux de l’instance à la valeur spécifiée, si elle est différente. L’ancien flux est purgé avant que le nouveau flux ne soit établi.

Paramètres

stream -- Le flux que le gestionnaire doit utiliser.

Renvoie

l’ancien flux, si le flux a été changé, ou None s’il ne l’a pas été.

Nouveau dans la version 3.7.

Modifié dans la version 3.2: The StreamHandler class now has a terminator attribute, default value '\n', which is used as the terminator when writing a formatted record to a stream. If you don't want this newline termination, you can set the handler instance's terminator attribute to the empty string. In earlier versions, the terminator was hardcoded as '\n'.

Gestionnaire à fichier — FileHandler

La classe FileHandler, du paquet logging, envoie les sorties de journalisation dans un fichier. Elle hérite des fonctionnalités de sortie de StreamHandler.

class logging.FileHandler(filename, mode='a', encoding=None, delay=False)

Returns a new instance of the FileHandler class. The specified file is opened and used as the stream for logging. If mode is not specified, 'a' is used. If encoding is not None, it is used to open the file with that encoding. If delay is true, then file opening is deferred until the first call to emit(). By default, the file grows indefinitely.

Modifié dans la version 3.6: L'argument filename accepte les objets Path aussi bien que les chaînes de caractères.

close()

Ferme le fichier.

emit(record)

Écrit l’enregistrement dans le fichier.

Gestionnaire à puits sans fond — NullHandler

Nouveau dans la version 3.1.

La classe NullHandler, située dans le paquet principal logging, ne produit aucun formatage ni sortie. C’est essentiellement un gestionnaire « fantôme » destiné aux développeurs de bibliothèques.

class logging.NullHandler

Renvoie une nouvelle instance de la classe NullHandler.

emit(record)

Cette méthode ne fait rien.

handle(record)

Cette méthode ne fait rien.

createLock()

Cette méthode renvoie None pour le verrou, étant donné qu’il n’y a aucun flux d'entrée-sortie sous-jacent dont l’accès doit être sérialisé.

Voir Configuration de la journalisation pour une bibliothèque pour plus d’information sur l'utilisation de NullHandler.

Gestionnaire à fichier avec surveillance — WatchedFileHandler

La classe WatchedFileHandler, située dans le module logging.handlers, est un FileHandler qui surveille le fichier dans lequel il journalise. Si le fichier change, il est fermé et rouvert en utilisant le nom du fichier.

Un changement du fichier peut arriver à cause de l’utilisation de programmes tels que newsyslog ou logrotate qui assurent le roulement des fichiers de journalisation. Ce gestionnaire, destiné à une utilisation sous Unix/Linux, surveille le fichier pour voir s’il a changé depuis la dernière écriture (un fichier est réputé avoir changé si son nœud d’index ou le périphérique auquel il est rattaché a changé). Si le fichier a changé, l’ancien flux vers ce fichier est fermé, et le fichier est ouvert pour établir un nouveau flux.

Ce gestionnaire n’est pas approprié pour une utilisation sous Windows, car sous Windows les fichiers de journalisation ouverts ne peuvent être ni déplacés, ni renommés — la journalisation ouvre les fichiers avec des verrous exclusifs — de telle sorte qu’il n’y a pas besoin d’un tel gestionnaire. En outre, ST_INO n’est pas géré par Windows ; stat() renvoie toujours zéro pour cette valeur.

class logging.handlers.WatchedFileHandler(filename, mode='a', encoding=None, delay=False)

Returns a new instance of the WatchedFileHandler class. The specified file is opened and used as the stream for logging. If mode is not specified, 'a' is used. If encoding is not None, it is used to open the file with that encoding. If delay is true, then file opening is deferred until the first call to emit(). By default, the file grows indefinitely.

Modifié dans la version 3.6: L'argument filename accepte les objets Path aussi bien que les chaînes de caractères.

reopenIfNeeded()

Vérifie si le fichier a changé. Si c’est le cas, le flux existant est purgé et fermé et le fichier est rouvert, généralement avant d'effectuer l’écriture de l'enregistrement dans le fichier.

Nouveau dans la version 3.6.

emit(record)

Écrit l’enregistrement dans le fichier, mais appelle d’abord reopenIfNeeded() pour rouvrir le fichier s’il a changé.

Base des gestionnaires à roulement BaseRotatingHandler

La classe BaseRotatingHandler, située dans le module logging.handlers, est la classe de base pour les gestionnaires à roulement, RotatingFileHandler et TimedRotatingFileHandler. Vous ne devez pas initialiser cette classe, mais elle a des attributs et des méthodes que vous devrez peut-être surcharger.

class logging.handlers.BaseRotatingHandler(filename, mode, encoding=None, delay=False)

Les paramètres sont les mêmes que pour FileHandler. Les attributs sont :

namer

Si cet attribut est défini en tant qu’appelable, la méthode rotation_filename() se rapporte à cet appelable. Les paramètres passés à l’appelable sont ceux passés à rotation_filename().

Note

La fonction namer est appelée pas mal de fois durant le roulement, de telle sorte qu’elle doit être aussi simple et rapide que possible. Elle doit aussi renvoyer toujours la même sortie pour une entrée donnée, autrement le comportement du roulement pourrait être différent de celui attendu.

Nouveau dans la version 3.3.

rotator

Si cet attribut est défini en tant qu’appelable, cet appelable se substitue à la méthode rotate(). Les paramètres passés à l’appelable sont ceux passés à rotate().

Nouveau dans la version 3.3.

rotation_filename(default_name)

Modifie le nom du fichier d’un fichier de journalisation lors du roulement.

Cette méthode sert à pouvoir produire un nom de fichier personnalisé.

L’implémentation par défaut appelle l’attribut namer du gestionnaire, si c’est un appelable, lui passant le nom par défaut. Si l’attribut n’est pas un appelable (le défaut est None), le nom est renvoyé tel quel.

Paramètres

default_name -- Le nom par défaut du fichier de journalisation.

Nouveau dans la version 3.3.

rotate(source, dest)

Lors du roulement, effectue le roulement du journal courant.

L’implémentation par défaut appelle l’attribut rotator du gestionnaire, si c’est un appelable, lui passant les arguments source et dest. Si l’attribut n’est pas un appelable (le défaut est None), le nom de la source est simplement renommé avec la destination.

Paramètres

• source -- Le nom du fichier source. Il s’agit normalement du nom du fichier, par exemple "test.log".

• dest -- Le nom du fichier de destination. Il s’agit normalement du nom donné à la source après le roulement, par exemple "test.log.1".

Nouveau dans la version 3.3.

La raison d’être de ces attributs est de vous épargner la création d’une sous-classe — vous pouvez utiliser les mêmes appels pour des instances de RotatingFileHandler et TimedRotatingFileHandler. Si le namer ou le rotator appelable lève une exception, ce sera géré de la même manière que n’importe quelle exception durant un appel emit(), c'est-à-dire par la méthode handleError() du gestionnaire.

Si vous avez besoin de faire d’importantes modifications au processus de roulement, surchargez les méthodes.

Pour un exemple, voir Using a rotator and namer to customize log rotation processing.

Gestionnaire à roulement de fichiers — RotatingFileHandler

La classe RotatingFileHandler, située dans le module logging.handlers, gère le roulement des fichiers de journalisation sur disque.

class logging.handlers.RotatingFileHandler(filename, mode='a', maxBytes=0, backupCount=0, encoding=None, delay=False)

Returns a new instance of the RotatingFileHandler class. The specified file is opened and used as the stream for logging. If mode is not specified, 'a' is used. If encoding is not None, it is used to open the file with that encoding. If delay is true, then file opening is deferred until the first call to emit(). By default, the file grows indefinitely.

Utilisez les valeurs maxBytes et backupCount pour autoriser le roulement du fichier (rollover) à une taille prédéterminée. Quand la taille limite est sur le point d’être dépassée, le fichier est fermé et un nouveau fichier est discrètement ouvert en tant que sortie. Un roulement se produit dès que le fichier de journalisation actuel atteint presque une taille de maxBytes ; si maxBytes ou backupCount est à 0, le roulement ne se produit jamais, donc en temps normal il convient de définir backupCount à au moins 1, et avoir une valeur de maxBytes non nulle. Quand backupCount est non nul, le système sauvegarde les anciens fichiers de journalisation en leur ajoutant au nom du fichier, les suffixes ".1", ".2" et ainsi de suite. Par exemple, avec un backupCount de 5 et app.log comme radical du fichier, vous obtiendrez app.log, app.log.1, app.log.2, jusqu’à app.log.5. Le fichier dans lequel on écrit est toujours app.log. Quand ce fichier est rempli, il est fermé et renommé en app.log.1, et si les fichiers app.log.1, app.log.2, etc. existent, alors ils sont renommés respectivement en app.log.2, app.log.3 etc.

Modifié dans la version 3.6: L'argument filename accepte les objets Path aussi bien que les chaînes de caractères.

doRollover()

Effectue un roulement, comme décrit au-dessus.

emit(record)

Écrit l'enregistrement dans le fichier, effectuant un roulement au besoin comme décrit précédemment.

Gestionnaire à roulement de fichiers périodique — TimedRotatingFileHandler

La classe TimedRotatingFileHandler, située dans le module logging.handlers, gère le roulement des fichiers de journalisation sur le disque à un intervalle de temps spécifié.

class logging.handlers.TimedRotatingFileHandler(filename, when='h', interval=1, backupCount=0, encoding=None, delay=False, utc=False, atTime=None)

Renvoie une nouvelle instance de la classe TimedRotatingFileHandler. Le fichier spécifié est ouvert et utilisé en tant que flux de sortie pour la journalisation. Au moment du roulement, il met également à jour le suffixe du nom du fichier. Le roulement se produit sur la base combinée de when et interval.

Utilisez le when pour spécifier le type de l’interval. La liste des valeurs possibles est ci-dessous. Notez qu’elles sont sensibles à la casse.

Valeur	Type d’intervalle	Si/comment atTime est utilisé
'S'	Secondes	Ignoré
'M'	Minutes	Ignoré
'H'	Heures	Ignoré
'D'	Jours	Ignoré
'W0'-'W6'	Jour de la semaine (0=lundi)	Utilisé pour calculer le moment du roulement
'midnight'	Roulement du fichier à minuit, si atTime n’est pas spécifié, sinon à l’heure atTime	Utilisé pour calculer le moment du roulement

Lors de l’utilisation d’un roulement basé sur les jours de la semaine, définir W0 pour lundi, W1 pour mardi, et ainsi de suite jusqu’à W6 pour dimanche. Dans ce cas, la valeur indiquée pour interval n’est pas utilisée.

Le système sauvegarde les anciens fichiers de journalisation en ajoutant une extension au nom du fichier. Les extensions sont basées sur la date et l’heure, en utilisation le format strftime %Y-%m-%d_%H-%M-%S ou le début de celui-ci, selon l’intervalle du roulement.

Lors du premier calcul du roulement suivant (quand le gestionnaire est créé), la dernière date de modification d’un fichier de journalisation existant, ou sinon la date actuelle, est utilisée pour calculer la date du prochain roulement.

If the utc argument is true, times in UTC will be used; otherwise local time is used.

If backupCount is nonzero, at most backupCount files will be kept, and if more would be created when rollover occurs, the oldest one is deleted. The deletion logic uses the interval to determine which files to delete, so changing the interval may leave old files lying around.

If delay is true, then file opening is deferred until the first call to emit().

If atTime is not None, it must be a datetime.time instance which specifies the time of day when rollover occurs, for the cases where rollover is set to happen "at midnight" or "on a particular weekday". Note that in these cases, the atTime value is effectively used to compute the initial rollover, and subsequent rollovers would be calculated via the normal interval calculation.

Note

Calculation of the initial rollover time is done when the handler is initialised. Calculation of subsequent rollover times is done only when rollover occurs, and rollover occurs only when emitting output. If this is not kept in mind, it might lead to some confusion. For example, if an interval of "every minute" is set, that does not mean you will always see log files with times (in the filename) separated by a minute; if, during application execution, logging output is generated more frequently than once a minute, then you can expect to see log files with times separated by a minute. If, on the other hand, logging messages are only output once every five minutes (say), then there will be gaps in the file times corresponding to the minutes where no output (and hence no rollover) occurred.

Modifié dans la version 3.4: atTime parameter was added.

Modifié dans la version 3.6: L'argument filename accepte les objets Path aussi bien que les chaînes de caractères.

doRollover()

Effectue un roulement, comme décrit au-dessus.

emit(record)

Outputs the record to the file, catering for rollover as described above.

SocketHandler

The SocketHandler class, located in the logging.handlers module, sends logging output to a network socket. The base class uses a TCP socket.

class logging.handlers.SocketHandler(host, port)

Returns a new instance of the SocketHandler class intended to communicate with a remote machine whose address is given by host and port.

Modifié dans la version 3.4: If port is specified as None, a Unix domain socket is created using the value in host - otherwise, a TCP socket is created.

close()

Closes the socket.

emit()

Pickles the record's attribute dictionary and writes it to the socket in binary format. If there is an error with the socket, silently drops the packet. If the connection was previously lost, re-establishes the connection. To unpickle the record at the receiving end into a LogRecord, use the makeLogRecord() function.

handleError()

Handles an error which has occurred during emit(). The most likely cause is a lost connection. Closes the socket so that we can retry on the next event.

makeSocket()

This is a factory method which allows subclasses to define the precise type of socket they want. The default implementation creates a TCP socket (socket.SOCK_STREAM).

makePickle(record)

Pickles the record's attribute dictionary in binary format with a length prefix, and returns it ready for transmission across the socket. The details of this operation are equivalent to:

data = pickle.dumps(record_attr_dict, 1)
datalen = struct.pack('>L', len(data))
return datalen + data

Note that pickles aren't completely secure. If you are concerned about security, you may want to override this method to implement a more secure mechanism. For example, you can sign pickles using HMAC and then verify them on the receiving end, or alternatively you can disable unpickling of global objects on the receiving end.

send(packet)

Send a pickled byte-string packet to the socket. The format of the sent byte-string is as described in the documentation for makePickle().

This function allows for partial sends, which can happen when the network is busy.

createSocket()

Tries to create a socket; on failure, uses an exponential back-off algorithm. On initial failure, the handler will drop the message it was trying to send. When subsequent messages are handled by the same instance, it will not try connecting until some time has passed. The default parameters are such that the initial delay is one second, and if after that delay the connection still can't be made, the handler will double the delay each time up to a maximum of 30 seconds.

This behaviour is controlled by the following handler attributes:

• retryStart (initial delay, defaulting to 1.0 seconds).

• retryFactor (multiplier, defaulting to 2.0).

• retryMax (maximum delay, defaulting to 30.0 seconds).

This means that if the remote listener starts up after the handler has been used, you could lose messages (since the handler won't even attempt a connection until the delay has elapsed, but just silently drop messages during the delay period).

DatagramHandler

The DatagramHandler class, located in the logging.handlers module, inherits from SocketHandler to support sending logging messages over UDP sockets.

class logging.handlers.DatagramHandler(host, port)

Returns a new instance of the DatagramHandler class intended to communicate with a remote machine whose address is given by host and port.

Modifié dans la version 3.4: If port is specified as None, a Unix domain socket is created using the value in host - otherwise, a UDP socket is created.

emit()

Pickles the record's attribute dictionary and writes it to the socket in binary format. If there is an error with the socket, silently drops the packet. To unpickle the record at the receiving end into a LogRecord, use the makeLogRecord() function.

makeSocket()

The factory method of SocketHandler is here overridden to create a UDP socket (socket.SOCK_DGRAM).

send(s)

Send a pickled byte-string to a socket. The format of the sent byte-string is as described in the documentation for SocketHandler.makePickle().

SysLogHandler

The SysLogHandler class, located in the logging.handlers module, supports sending logging messages to a remote or local Unix syslog.

class logging.handlers.SysLogHandler(address=('localhost', SYSLOG_UDP_PORT), facility=LOG_USER, socktype=socket.SOCK_DGRAM)

Returns a new instance of the SysLogHandler class intended to communicate with a remote Unix machine whose address is given by address in the form of a (host, port) tuple. If address is not specified, ('localhost', 514) is used. The address is used to open a socket. An alternative to providing a (host, port) tuple is providing an address as a string, for example '/dev/log'. In this case, a Unix domain socket is used to send the message to the syslog. If facility is not specified, LOG_USER is used. The type of socket opened depends on the socktype argument, which defaults to socket.SOCK_DGRAM and thus opens a UDP socket. To open a TCP socket (for use with the newer syslog daemons such as rsyslog), specify a value of socket.SOCK_STREAM.

Note that if your server is not listening on UDP port 514, SysLogHandler may appear not to work. In that case, check what address you should be using for a domain socket - it's system dependent. For example, on Linux it's usually '/dev/log' but on OS/X it's '/var/run/syslog'. You'll need to check your platform and use the appropriate address (you may need to do this check at runtime if your application needs to run on several platforms). On Windows, you pretty much have to use the UDP option.

Modifié dans la version 3.2: socktype was added.

close()

Closes the socket to the remote host.

emit(record)

The record is formatted, and then sent to the syslog server. If exception information is present, it is not sent to the server.

Modifié dans la version 3.2.1: (See: bpo-12168.) In earlier versions, the message sent to the syslog daemons was always terminated with a NUL byte, because early versions of these daemons expected a NUL terminated message - even though it's not in the relevant specification (RFC 5424). More recent versions of these daemons don't expect the NUL byte but strip it off if it's there, and even more recent daemons (which adhere more closely to RFC 5424) pass the NUL byte on as part of the message.

To enable easier handling of syslog messages in the face of all these differing daemon behaviours, the appending of the NUL byte has been made configurable, through the use of a class-level attribute, append_nul. This defaults to True (preserving the existing behaviour) but can be set to False on a SysLogHandler instance in order for that instance to not append the NUL terminator.

Modifié dans la version 3.3: (See: bpo-12419.) In earlier versions, there was no facility for an "ident" or "tag" prefix to identify the source of the message. This can now be specified using a class-level attribute, defaulting to "" to preserve existing behaviour, but which can be overridden on a SysLogHandler instance in order for that instance to prepend the ident to every message handled. Note that the provided ident must be text, not bytes, and is prepended to the message exactly as is.

encodePriority(facility, priority)

Encodes the facility and priority into an integer. You can pass in strings or integers - if strings are passed, internal mapping dictionaries are used to convert them to integers.

The symbolic LOG_ values are defined in SysLogHandler and mirror the values defined in the sys/syslog.h header file.

Priorities

Name (string)	Symbolic value
alert	LOG_ALERT
crit ou critical	LOG_CRIT
debug	LOG_DEBUG
emerg ou panic	LOG_EMERG
err ou error	LOG_ERR
info	LOG_INFO
notice	LOG_NOTICE
warn ou warning	LOG_WARNING

Facilities

Name (string)	Symbolic value
auth	LOG_AUTH
authpriv	LOG_AUTHPRIV
cron	LOG_CRON
daemon	LOG_DAEMON
ftp	LOG_FTP
kern	LOG_KERN
lpr	LOG_LPR
mail	LOG_MAIL
news	LOG_NEWS
syslog	LOG_SYSLOG
user	LOG_USER
uucp	LOG_UUCP
local0	LOG_LOCAL0
local1	LOG_LOCAL1
local2	LOG_LOCAL2
local3	LOG_LOCAL3
local4	LOG_LOCAL4
local5	LOG_LOCAL5
local6	LOG_LOCAL6
local7	LOG_LOCAL7

mapPriority(levelname)

Maps a logging level name to a syslog priority name. You may need to override this if you are using custom levels, or if the default algorithm is not suitable for your needs. The default algorithm maps DEBUG, INFO, WARNING, ERROR and CRITICAL to the equivalent syslog names, and all other level names to 'warning'.

NTEventLogHandler

The NTEventLogHandler class, located in the logging.handlers module, supports sending logging messages to a local Windows NT, Windows 2000 or Windows XP event log. Before you can use it, you need Mark Hammond's Win32 extensions for Python installed.

class logging.handlers.NTEventLogHandler(appname, dllname=None, logtype='Application')

Returns a new instance of the NTEventLogHandler class. The appname is used to define the application name as it appears in the event log. An appropriate registry entry is created using this name. The dllname should give the fully qualified pathname of a .dll or .exe which contains message definitions to hold in the log (if not specified, 'win32service.pyd' is used - this is installed with the Win32 extensions and contains some basic placeholder message definitions. Note that use of these placeholders will make your event logs big, as the entire message source is held in the log. If you want slimmer logs, you have to pass in the name of your own .dll or .exe which contains the message definitions you want to use in the event log). The logtype is one of 'Application', 'System' or 'Security', and defaults to 'Application'.

close()

At this point, you can remove the application name from the registry as a source of event log entries. However, if you do this, you will not be able to see the events as you intended in the Event Log Viewer - it needs to be able to access the registry to get the .dll name. The current version does not do this.

emit(record)

Determines the message ID, event category and event type, and then logs the message in the NT event log.

getEventCategory(record)

Returns the event category for the record. Override this if you want to specify your own categories. This version returns 0.

getEventType(record)

Returns the event type for the record. Override this if you want to specify your own types. This version does a mapping using the handler's typemap attribute, which is set up in __init__() to a dictionary which contains mappings for DEBUG, INFO, WARNING, ERROR and CRITICAL. If you are using your own levels, you will either need to override this method or place a suitable dictionary in the handler's typemap attribute.

getMessageID(record)

Returns the message ID for the record. If you are using your own messages, you could do this by having the msg passed to the logger being an ID rather than a format string. Then, in here, you could use a dictionary lookup to get the message ID. This version returns 1, which is the base message ID in win32service.pyd.

SMTPHandler

The SMTPHandler class, located in the logging.handlers module, supports sending logging messages to an email address via SMTP.

class logging.handlers.SMTPHandler(mailhost, fromaddr, toaddrs, subject, credentials=None, secure=None, timeout=1.0)

Returns a new instance of the SMTPHandler class. The instance is initialized with the from and to addresses and subject line of the email. The toaddrs should be a list of strings. To specify a non-standard SMTP port, use the (host, port) tuple format for the mailhost argument. If you use a string, the standard SMTP port is used. If your SMTP server requires authentication, you can specify a (username, password) tuple for the credentials argument.

To specify the use of a secure protocol (TLS), pass in a tuple to the secure argument. This will only be used when authentication credentials are supplied. The tuple should be either an empty tuple, or a single-value tuple with the name of a keyfile, or a 2-value tuple with the names of the keyfile and certificate file. (This tuple is passed to the smtplib.SMTP.starttls() method.)

A timeout can be specified for communication with the SMTP server using the timeout argument.

Nouveau dans la version 3.3: The timeout argument was added.

emit(record)

Formats the record and sends it to the specified addressees.

getSubject(record)

If you want to specify a subject line which is record-dependent, override this method.

MemoryHandler

The MemoryHandler class, located in the logging.handlers module, supports buffering of logging records in memory, periodically flushing them to a target handler. Flushing occurs whenever the buffer is full, or when an event of a certain severity or greater is seen.

MemoryHandler is a subclass of the more general BufferingHandler, which is an abstract class. This buffers logging records in memory. Whenever each record is added to the buffer, a check is made by calling shouldFlush() to see if the buffer should be flushed. If it should, then flush() is expected to do the flushing.

class logging.handlers.BufferingHandler(capacity)

Initializes the handler with a buffer of the specified capacity. Here, capacity means the number of logging records buffered.

emit(record)

Append the record to the buffer. If shouldFlush() returns true, call flush() to process the buffer.

flush()

You can override this to implement custom flushing behavior. This version just zaps the buffer to empty.

shouldFlush(record)

Return True if the buffer is up to capacity. This method can be overridden to implement custom flushing strategies.

class logging.handlers.MemoryHandler(capacity, flushLevel=ERROR, target=None, flushOnClose=True)

Returns a new instance of the MemoryHandler class. The instance is initialized with a buffer size of capacity (number of records buffered). If flushLevel is not specified, ERROR is used. If no target is specified, the target will need to be set using setTarget() before this handler does anything useful. If flushOnClose is specified as False, then the buffer is not flushed when the handler is closed. If not specified or specified as True, the previous behaviour of flushing the buffer will occur when the handler is closed.

Modifié dans la version 3.6: The flushOnClose parameter was added.

close()

Calls flush(), sets the target to None and clears the buffer.

flush()

For a MemoryHandler, flushing means just sending the buffered records to the target, if there is one. The buffer is also cleared when this happens. Override if you want different behavior.

setTarget(target)

Sets the target handler for this handler.

shouldFlush(record)

Checks for buffer full or a record at the flushLevel or higher.

HTTPHandler

The HTTPHandler class, located in the logging.handlers module, supports sending logging messages to a Web server, using either GET or POST semantics.

class logging.handlers.HTTPHandler(host, url, method='GET', secure=False, credentials=None, context=None)

Returns a new instance of the HTTPHandler class. The host can be of the form host:port, should you need to use a specific port number. If no method is specified, GET is used. If secure is true, a HTTPS connection will be used. The context parameter may be set to a ssl.SSLContext instance to configure the SSL settings used for the HTTPS connection. If credentials is specified, it should be a 2-tuple consisting of userid and password, which will be placed in a HTTP 'Authorization' header using Basic authentication. If you specify credentials, you should also specify secure=True so that your userid and password are not passed in cleartext across the wire.

Modifié dans la version 3.5: The context parameter was added.

mapLogRecord(record)

Provides a dictionary, based on record, which is to be URL-encoded and sent to the web server. The default implementation just returns record.__dict__. This method can be overridden if e.g. only a subset of LogRecord is to be sent to the web server, or if more specific customization of what's sent to the server is required.

emit(record)

Sends the record to the Web server as a URL-encoded dictionary. The mapLogRecord() method is used to convert the record to the dictionary to be sent.

Note

Since preparing a record for sending it to a Web server is not the same as a generic formatting operation, using setFormatter() to specify a Formatter for a HTTPHandler has no effect. Instead of calling format(), this handler calls mapLogRecord() and then urllib.parse.urlencode() to encode the dictionary in a form suitable for sending to a Web server.

QueueHandler

Nouveau dans la version 3.2.

The QueueHandler class, located in the logging.handlers module, supports sending logging messages to a queue, such as those implemented in the queue or multiprocessing modules.

Along with the QueueListener class, QueueHandler can be used to let handlers do their work on a separate thread from the one which does the logging. This is important in Web applications and also other service applications where threads servicing clients need to respond as quickly as possible, while any potentially slow operations (such as sending an email via SMTPHandler) are done on a separate thread.

class logging.handlers.QueueHandler(queue)

Returns a new instance of the QueueHandler class. The instance is initialized with the queue to send messages to. The queue can be any queue-like object; it's used as-is by the enqueue() method, which needs to know how to send messages to it. The queue is not required to have the task tracking API, which means that you can use SimpleQueue instances for queue.

emit(record)

Enqueues the result of preparing the LogRecord. Should an exception occur (e.g. because a bounded queue has filled up), the handleError() method is called to handle the error. This can result in the record silently being dropped (if logging.raiseExceptions is False) or a message printed to sys.stderr (if logging.raiseExceptions is True).

prepare(record)

Prepares a record for queuing. The object returned by this method is enqueued.

The base implementation formats the record to merge the message, arguments, and exception information, if present. It also removes unpickleable items from the record in-place.

You might want to override this method if you want to convert the record to a dict or JSON string, or send a modified copy of the record while leaving the original intact.

enqueue(record)

Enqueues the record on the queue using put_nowait(); you may want to override this if you want to use blocking behaviour, or a timeout, or a customized queue implementation.

QueueListener

Nouveau dans la version 3.2.

The QueueListener class, located in the logging.handlers module, supports receiving logging messages from a queue, such as those implemented in the queue or multiprocessing modules. The messages are received from a queue in an internal thread and passed, on the same thread, to one or more handlers for processing. While QueueListener is not itself a handler, it is documented here because it works hand-in-hand with QueueHandler.

Along with the QueueHandler class, QueueListener can be used to let handlers do their work on a separate thread from the one which does the logging. This is important in Web applications and also other service applications where threads servicing clients need to respond as quickly as possible, while any potentially slow operations (such as sending an email via SMTPHandler) are done on a separate thread.

class logging.handlers.QueueListener(queue, *handlers, respect_handler_level=False)

Returns a new instance of the QueueListener class. The instance is initialized with the queue to send messages to and a list of handlers which will handle entries placed on the queue. The queue can be any queue-like object; it's passed as-is to the dequeue() method, which needs to know how to get messages from it. The queue is not required to have the task tracking API (though it's used if available), which means that you can use SimpleQueue instances for queue.

If respect_handler_level is True, a handler's level is respected (compared with the level for the message) when deciding whether to pass messages to that handler; otherwise, the behaviour is as in previous Python versions - to always pass each message to each handler.

Modifié dans la version 3.5: The respect_handler_level argument was added.

dequeue(block)

Dequeues a record and return it, optionally blocking.

The base implementation uses get(). You may want to override this method if you want to use timeouts or work with custom queue implementations.

prepare(record)

Prepare a record for handling.

This implementation just returns the passed-in record. You may want to override this method if you need to do any custom marshalling or manipulation of the record before passing it to the handlers.

handle(record)

Handle a record.

This just loops through the handlers offering them the record to handle. The actual object passed to the handlers is that which is returned from prepare().

start()

Starts the listener.

This starts up a background thread to monitor the queue for LogRecords to process.

stop()

Stops the listener.

This asks the thread to terminate, and then waits for it to do so. Note that if you don't call this before your application exits, there may be some records still left on the queue, which won't be processed.

enqueue_sentinel()

Writes a sentinel to the queue to tell the listener to quit. This implementation uses put_nowait(). You may want to override this method if you want to use timeouts or work with custom queue implementations.

Nouveau dans la version 3.3.

Voir aussi

Module logging

Référence d'API pour le module de journalisation.

Module logging.config

API de configuration pour le module de journalisation.