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Additional handlers for the logging package for Python. The core package is
based on PEP 282 and comments thereto in comp.lang.python.
Copyright (C) 2001-2013 Vinay Sajip. All Rights Reserved.
To use, simply 'import logging.handlers' and log away!
i N( u BOM_UTF8( u ST_DEVu ST_INOu ST_MTIMEi<# i=# i># i?# i i i< c B sP | Ee Z d Z d Z d
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Base class for handlers that rotate log files at a certain point.
Not meant to be instantiated directly. Instead, use RotatingFileHandler
or TimedRotatingFileHandler.
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Use the specified filename for streamed logging
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u BaseRotatingHandler.__init__c C si y3 | j | � r | j � n t j j | | � Wn/ t t f k
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Emit a record.
Output the record to the file, catering for rollover as described
in doRollover().
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doRolloveru loggingu FileHandleru emitu KeyboardInterruptu
SystemExitu handleError( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu emit@ s
u BaseRotatingHandler.emitc C s+ t | j � s | } n | j | � } | S( u�
Modify the filename of a log file when rotating.
This is provided so that a custom filename can be provided.
The default implementation calls the 'namer' attribute of the
handler, if it's callable, passing the default name to
it. If the attribute isn't callable (the default is None), the name
is returned unchanged.
:param default_name: The default name for the log file.
( u callableu namer( u selfu default_nameu result( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu rotation_filenameP s
u% BaseRotatingHandler.rotation_filenamec C sK t | j � s7 t j j | � rG t j | | � qG n | j | | � d S( uL
When rotating, rotate the current log.
The default implementation calls the 'rotator' attribute of the
handler, if it's callable, passing the source and dest arguments to
it. If the attribute isn't callable (the default is None), the source
is simply renamed to the destination.
:param source: The source filename. This is normally the base
filename, e.g. 'test.log'
:param dest: The destination filename. This is normally
what the source is rotated to, e.g. 'test.log.1'.
N( u callableu rotatoru osu pathu existsu rename( u selfu sourceu dest( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu rotatec s u BaseRotatingHandler.rotateNF(
u __name__u
__module__u __qualname__u __doc__u Noneu Falseu __init__u emitu rotation_filenameu rotate( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu BaseRotatingHandler0 s
u BaseRotatingHandlerc B sM | Ee Z d Z d Z d d d d
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S( u RotatingFileHandleru�
Handler for logging to a set of files, which switches from one file
to the next when the current file reaches a certain size.
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Open the specified file and use it as the stream for logging.
By default, the file grows indefinitely. You can specify particular
values of maxBytes and backupCount to allow the file to rollover at
a predetermined size.
Rollover occurs whenever the current log file is nearly maxBytes in
length. If backupCount is >= 1, the system will successively create
new files with the same pathname as the base file, but with extensions
".1", ".2" etc. appended to it. For example, with a backupCount of 5
and a base file name of "app.log", you would get "app.log",
"app.log.1", "app.log.2", ... through to "app.log.5". The file being
written to is always "app.log" - when it gets filled up, it is closed
and renamed to "app.log.1", and if files "app.log.1", "app.log.2" etc.
exist, then they are renamed to "app.log.2", "app.log.3" etc.
respectively.
If maxBytes is zero, rollover never occurs.
i u aN( u BaseRotatingHandleru __init__u maxBytesu backupCount( u selfu filenameu modeu maxBytesu backupCountu encodingu delay( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__} s
u RotatingFileHandler.__init__c C sE | j r" | j j � d | _ n | j d k r&x� t | j d d d � D]� } | j d | j | f � } | j d | j | d f � } t j j | � rK t j j | � r� t j
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Do a rollover, as described in __init__().
i i u %s.%du .1Ni����( u streamu closeu Noneu backupCountu rangeu rotation_filenameu baseFilenameu osu pathu existsu removeu renameu rotateu delayu _open( u selfu iu sfnu dfn( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu
doRollover� s$
u RotatingFileHandler.doRolloverc C s� | j d k r! | j � | _ n | j d k r d | j | � } | j j d d � | j j � t | � | j k r d Sn d S( u�
Determine if rollover should occur.
Basically, see if the supplied record would cause the file to exceed
the size limit we have.
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doRolloveru shouldRollover( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu RotatingFileHandlerx s u RotatingFileHandlerc B sh | Ee Z d Z d Z d d d d d d d d � Z d d � Z d d
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Handler for logging to a file, rotating the log file at certain timed
intervals.
If backupCount is > 0, when rollover is done, no more than backupCount
files are kept - the oldest ones are deleted.
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ValueErroru intu dayOfWeeku reu compileu ASCIIu osu pathu existsu statu ST_MTIMEu timeu computeRolloveru
rolloverAt( u selfu filenameu whenu intervalu backupCountu encodingu delayu utcu t( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__� sH
& u! TimedRotatingFileHandler.__init__c C sq | | j } | j d k s. | j j d � rm| j rI t j | � } n t j | � } | d } | d } | d } t | d | d | } | | } | j j d � rm| d } | | j k rj| | j k r� | j | } n d | | j d } | | d }
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Work out the rollover time based on the specified time.
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startswithu utcu timeu gmtimeu localtimeu _MIDNIGHTu dayOfWeek( u selfu currentTimeu resultu tu currentHouru
currentMinuteu
currentSecondu ru dayu
daysToWaitu
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u( TimedRotatingFileHandler.computeRolloverc C s) t t j � � } | | j k r% d Sd S( u�
Determine if rollover should occur.
record is not used, as we are just comparing times, but it is needed so
the method signatures are the same
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rolloverAt( u selfu recordu t( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu shouldRollover= s u' TimedRotatingFileHandler.shouldRolloverc C s� t j j | j � \ } } t j | � } g } | d } t | � } xh | D]` } | d | � | k rM | | d � } | j j | � r� | j t j j | | � � q� qM qM W| j
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Determine the files to delete when rolling over.
More specific than the earlier method, which just used glob.glob().
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do a rollover; in this case, a date/time stamp is appended to the filename
when the rollover happens. However, you want the file to be named for the
start of the interval, not the current time. If there is a backup count,
then we have to get a list of matching filenames, sort them and remove
the one with the oldest suffix.
i i u .i u MIDNIGHTu WNi����i����i��i����i��( u streamu closeu Noneu intu timeu localtimeu
rolloverAtu intervalu utcu gmtimeu rotation_filenameu baseFilenameu strftimeu suffixu osu pathu existsu removeu rotateu backupCountu getFilesToDeleteu delayu _openu computeRolloveru whenu
startswith( u selfu currentTimeu dstNowu tu timeTupleu dstThenu addendu dfnu su
newRolloverAtu
dstAtRollover( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu
doRollover` sH
+ u# TimedRotatingFileHandler.doRolloverNF( u __name__u
__module__u __qualname__u __doc__u Noneu Falseu __init__u computeRolloveru shouldRolloveru getFilesToDeleteu
doRollover( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu TimedRotatingFileHandler� s 5 < u TimedRotatingFileHandlerc B sG | Ee Z d Z d Z d d d
d d � Z d d � Z d d � Z d S( u WatchedFileHandleru�
A handler for logging to a file, which watches the file
to see if it has changed while in use. This can happen because of
usage of programs such as newsyslog and logrotate which perform
log file rotation. This handler, intended for use under Unix,
watches the file to see if it has changed since the last emit.
(A file has changed if its device or inode have changed.)
If it has changed, the old file stream is closed, and the file
opened to get a new stream.
This handler is not appropriate for use under Windows, because
under Windows open files cannot be moved or renamed - logging
opens the files with exclusive locks - and so there is no need
for such a handler. Furthermore, ST_INO is not supported under
Windows; stat always returns zero for this value.
This handler is based on a suggestion and patch by Chad J.
Schroeder.
u ac C s< t j j | | | | | � d \ | _ | _ | j � d S( Ni i����i����( i����i����( u loggingu FileHandleru __init__u devu inou _statstream( u selfu filenameu modeu encodingu delay( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__� s u WatchedFileHandler.__init__c C sC | j r? t j | j j � � } | t | t | _ | _ n d S( N( u streamu osu fstatu filenou ST_DEVu ST_INOu devu ino( u selfu sres( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu _statstream� s u WatchedFileHandler._statstreamc C s� y t j | j � } WnC t k
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Emit a record.
First check if the underlying file has changed, and if it
has, close the old stream and reopen the file to get the
current stream.
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u WatchedFileHandler.emitNF( u __name__u
__module__u __qualname__u __doc__u Noneu Falseu __init__u _statstreamu emit( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu WatchedFileHandler� s u WatchedFileHandlerc B s} | Ee Z d Z d Z d d � Z d d d � Z d d � Z d d
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SocketHandleru
A handler class which writes logging records, in pickle format, to
a streaming socket. The socket is kept open across logging calls.
If the peer resets it, an attempt is made to reconnect on the next call.
The pickle which is sent is that of the LogRecord's attribute dictionary
(__dict__), so that the receiver does not need to have the logging module
installed in order to process the logging event.
To unpickle the record at the receiving end into a LogRecord, use the
makeLogRecord function.
c C s\ t j j | � | | _ | | _ d | _ d | _ d | _ d | _
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Initializes the handler with a specific host address and port.
When the attribute *closeOnError* is set to True - if a socket error
occurs, the socket is silently closed and then reopened on the next
logging call.
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u loggingu Handleru __init__u hostu portu Noneu socku Falseu closeOnErroru retryTimeu
retryStartu retryMaxu retryFactor( u selfu hostu port( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__� s u SocketHandler.__init__i c C s� t j t j t j � } t | d � r7 | j | � n y! | j | j | j f � | SWn" t j k
r| | j � � Yn Xd S( ur
A factory method which allows subclasses to define the precise
type of socket they want.
u
settimeoutN(
u socketu AF_INETu SOCK_STREAMu hasattru
settimeoutu connectu hostu portu erroru close( u selfu timeoutu s( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu
makeSocket� s
u SocketHandler.makeSocketc C s� t j � } | j d k r$ d } n | | j k } | r� y | j � | _ d | _ Wq� t j k
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| _ | j | j k r� | j | _ n | | j | _ Yq� Xn d S( u�
Try to create a socket, using an exponential backoff with
a max retry time. Thanks to Robert Olson for the original patch
(SF #815911) which has been slightly refactored.
NT( u timeu retryTimeu Noneu Trueu
makeSocketu socku socketu erroru
retryStartu retryPeriodu retryFactoru retryMax( u selfu nowu attempt( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu createSocket s
u SocketHandler.createSocketc C s� | j d k r | j � n | j r� y~ t | j d � rM | j j | � nU d } t | � } x@ | d k r� | j j | | d � � } | | } | | } qb WWq� t j k
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Send a pickled string to the socket.
This function allows for partial sends which can happen when the
network is busy.
u sendalli N(
u socku Noneu createSocketu hasattru sendallu lenu sendu socketu erroru close( u selfu su sentsofaru leftu sent( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu send s
u SocketHandler.sendc C s� | j } | r! | j | � } n t | j � } | j � | d <d | d <d | d <t j | d � } t j d t
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Pickles the record in binary format with a length prefix, and
returns it ready for transmission across the socket.
u msgu argsu exc_infoi u >LN( u exc_infou formatu dictu __dict__u
getMessageu Noneu pickleu dumpsu structu packu len( u selfu recordu eiu dummyu du su slen( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu
makePickle8 s
u SocketHandler.makePicklec C sB | j r+ | j r+ | j j � d | _ n t j j | | � d S( u�
Handle an error during logging.
An error has occurred during logging. Most likely cause -
connection lost. Close the socket so that we can retry on the
next event.
N( u closeOnErroru socku closeu Noneu loggingu Handleru handleError( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu handleErrorL s
u SocketHandler.handleErrorc C sV y | j | � } | j | � Wn/ t t f k
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Emit a record.
Pickles the record and writes it to the socket in binary format.
If there is an error with the socket, silently drop the packet.
If there was a problem with the socket, re-establishes the
socket.
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makePickleu sendu KeyboardInterruptu
SystemExitu handleError( u selfu recordu s( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu emitZ s u SocketHandler.emitc
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Closes the socket.
N( u acquireu socku closeu Noneu loggingu Handleru release( u self( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu closek s
u SocketHandler.closeN( u __name__u
__module__u __qualname__u __doc__u __init__u
makeSocketu createSocketu sendu
makePickleu handleErroru emitu close( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu
SocketHandler� s u
SocketHandlerc B s> | Ee Z d Z d Z d d � Z d d � Z d d � Z d S( u DatagramHandleru�
A handler class which writes logging records, in pickle format, to
a datagram socket. The pickle which is sent is that of the LogRecord's
attribute dictionary (__dict__), so that the receiver does not need to
have the logging module installed in order to process the logging event.
To unpickle the record at the receiving end into a LogRecord, use the
makeLogRecord function.
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Initializes the handler with a specific host address and port.
NF( u
SocketHandleru __init__u Falseu closeOnError( u selfu hostu port( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__� s u DatagramHandler.__init__c C s t j t j t j � } | S( uu
The factory method of SocketHandler is here overridden to create
a UDP socket (SOCK_DGRAM).
( u socketu AF_INETu
SOCK_DGRAM( u selfu s( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu
makeSocket� s u DatagramHandler.makeSocketc C s? | j d k r | j � n | j j | | j | j f � d S( u�
Send a pickled string to a socket.
This function no longer allows for partial sends which can happen
when the network is busy - UDP does not guarantee delivery and
can deliver packets out of sequence.
N( u socku Noneu createSocketu sendtou hostu port( u selfu s( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu send� s
u DatagramHandler.sendN( u __name__u
__module__u __qualname__u __doc__u __init__u
makeSocketu send( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu DatagramHandlerx s
u DatagramHandlerc B sA | Ee Z d Z d Z d Z d Z d Z d Z d Z d Z d Z
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SysLogHandleru
A handler class which sends formatted logging records to a syslog
server. Based on Sam Rushing's syslog module:
http://www.nightmare.com/squirl/python-ext/misc/syslog.py
Contributed by Nicolas Untz (after which minor refactoring changes
have been made).
i i i i i i i i i i i
i i i i i i i i i u alertu critu criticalu debugu emergu erru erroru infou noticeu panicu warnu warningu authu authprivu cronu daemonu ftpu kernu lpru mailu newsu securityu syslogu useru uucpu local0u local1u local2u local3u local4u local5u local6u local7u DEBUGu INFOu WARNINGu ERRORu CRITICALu localhostc C s� t j j | � | | _ | | _ | | _ t | t � rS d | _ | j
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Initialize a handler.
If address is specified as a string, a UNIX socket is used. To log to a
local syslogd, "SysLogHandler(address="/dev/log")" can be used.
If facility is not specified, LOG_USER is used.
NTF( u loggingu Handleru __init__u addressu facilityu socktypeu
isinstanceu stru Trueu
unixsocketu _connect_unixsocketu Falseu Noneu socketu
SOCK_DGRAMu AF_INETu SOCK_STREAMu connectu formatter( u selfu addressu facilityu socktype( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__ s u SysLogHandler.__init__c C s� | j } | d k r! t j } n t j t j | � | _ y | j j | � | | _ Wn� t j k
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r� | j j � � Yn XYn Xd S( N( u socktypeu Noneu socketu
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u! SysLogHandler._connect_unixsocketc C sJ t | t � r | j | } n t | t � r> | j | } n | d >| BS( u�
Encode the facility and priority. You can pass in strings or
integers - if strings are passed, the facility_names and
priority_names mapping dictionaries are used to convert them to
integers.
i ( u
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u SysLogHandler.encodePriorityc
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Closes the socket.
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u SysLogHandler.closec C s | j j | d � S( uK
Map a logging level name to a key in the priority_names map.
This is useful in two scenarios: when custom levels are being
used, and in the case where you can't do a straightforward
mapping by lowercasing the logging level name because of locale-
specific issues (see SF #1524081).
u warning( u priority_mapu get( u selfu levelName( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu mapPriorityQ s u SysLogHandler.mapPriorityu c C se | j | � } | j r( | j | } n | j r> | d 7} n d | j | j | j | j � � } | j d � } | j d � } | | } y� | j r� y | j j
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Emit a record.
The record is formatted, and then sent to the syslog server. If
exception information is present, it is NOT sent to the server.
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u SysLogHandler.emitNT(. u __name__u
__module__u __qualname__u __doc__u LOG_EMERGu LOG_ALERTu LOG_CRITu LOG_ERRu LOG_WARNINGu
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u SMTPHandleruK
A handler class which sends an SMTP email for each logging event.
g @c C s� t j j | � t | t � r4 | \ | _ | _ n | d | _ | _ t | t � rk | \ | _ | _ n d | _ | | _
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| | _ | | _ d S( ux
Initialize the handler.
Initialize the instance with the from and to addresses and subject
line of the email. To specify a non-standard SMTP port, use the
(host, port) tuple format for the mailhost argument. To specify
authentication credentials, supply a (username, password) tuple
for the credentials argument. To specify the use of a secure
protocol (TLS), pass in a tuple for the secure argument. This will
only be used when authentication credentials are supplied. The tuple
will 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 `starttls` method).
A timeout in seconds can be specified for the SMTP connection (the
default is one second).
N( u loggingu Handleru __init__u
isinstanceu tupleu mailhostu mailportu Noneu usernameu passwordu fromaddru stru toaddrsu subjectu secureu timeout( u selfu mailhostu fromaddru toaddrsu subjectu credentialsu secureu timeout( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__� s u SMTPHandler.__init__c C s | j S( u�
Determine the subject for the email.
If you want to specify a subject line which is record-dependent,
override this method.
( u subject( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu
getSubject� s u SMTPHandler.getSubjectc C sM yd d l } d d l m } | j } | s: | j } n | j | j | d | j �} | j | � } d | j d j
| j � | j | � | � | f } | j
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Emit a record.
Format the record and send it to the specified addressees.
i N( u
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Date: %s
%su ,( u smtplibu email.utilsu
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u SMTPHandler.emitN( u __name__u
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� Z d d � Z d
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d S( u NTEventLogHandleru�
A handler class which sends events to the NT Event Log. Adds a
registry entry for the specified application name. If no dllname is
provided, win32service.pyd (which contains some basic message
placeholders) is used. 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
which contains the message definitions you want to use in the event log.
u Applicationc C s8 t j j | � y� d d l } d d l } | | _ | | _ | s� t j j | j j
� } t j j | d � } t j j | d d � } n | | _ | | _
| j j | | | � | j | _ i | j t j 6| j t j 6| j t j 6| j t j 6| j t j 6| _ Wn% t k
r3t d � d | _ Yn Xd S( Ni u win32service.pyduW The Python Win32 extensions for NT (service, event logging) appear not to be available.( u loggingu Handleru __init__u win32evtlogutilu win32evtlogu appnameu _weluu osu pathu splitu __file__u joinu dllnameu logtypeu AddSourceToRegistryu EVENTLOG_ERROR_TYPEu deftypeu EVENTLOG_INFORMATION_TYPEu DEBUGu INFOu EVENTLOG_WARNING_TYPEu WARNINGu ERRORu CRITICALu typemapu ImportErroru printu None( u selfu appnameu dllnameu logtypeu win32evtlogutilu win32evtlog( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__� s,
u NTEventLogHandler.__init__c C s d S( uy
Return the message ID for the event 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 formatting 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.
i ( ( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu getMessageID� s u NTEventLogHandler.getMessageIDc C s d S( u�
Return the event category for the record.
Override this if you want to specify your own categories. This version
returns 0.
i ( ( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu getEventCategory s u" NTEventLogHandler.getEventCategoryc C s | j j | j | j � S( u�
Return 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.
( u typemapu getu levelnou deftype( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu getEventType s u NTEventLogHandler.getEventTypec C s� | j r� yb | j | � } | j | � } | j | � } | j | � } | j j | j | | | | g � Wq� t t f k
r� � Yq� | j | � Yq� Xn d S( u�
Emit a record.
Determine the message ID, event category and event type. Then
log the message in the NT event log.
N(
u _weluu getMessageIDu getEventCategoryu getEventTypeu formatu ReportEventu appnameu KeyboardInterruptu
SystemExitu handleError( u selfu recordu idu catu typeu msg( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu emit s &u NTEventLogHandler.emitc C s t j j | � d S( uS
Clean up this handler.
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.
N( u loggingu Handleru close( u self( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu close, s u NTEventLogHandler.closeN( u __name__u
__module__u __qualname__u __doc__u Noneu __init__u getMessageIDu getEventCategoryu getEventTypeu emitu close( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu NTEventLogHandler� s
u NTEventLogHandlerc B sG | Ee Z d Z d Z d d
d d d � Z d d � Z d d � Z d S( u HTTPHandleru^
A class which sends records to a Web server, using either GET or
POST semantics.
u GETc C sh t j j | � | j � } | d k r7 t d � � n | | _ | | _ | | _ | | _ | | _ d S( ur
Initialize the instance with the host, the request URL, and the method
("GET" or "POST")
u GETu POSTu method must be GET or POSTN( u GETu POST(
u loggingu Handleru __init__u upperu
ValueErroru hostu urlu methodu secureu credentials( u selfu hostu urlu methodu secureu credentials( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__> s u HTTPHandler.__init__c C s | j S( u�
Default implementation of mapping the log record into a dict
that is sent as the CGI data. Overwrite in your class.
Contributed by Franz Glasner.
( u __dict__( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu mapLogRecordM s u HTTPHandler.mapLogRecordc C s y�d d l } d d l } | j } | j rB | j j | � } n | j j | � } | j } | j j | j
| � � } | j d k r� | j d � d k r� d } n d } | d | | f } n | j
| j | � | j d � } | d k r| d | � } n | j d | � | j d k rQ| j d
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| j j d � } d |
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r� Yn | j | � Yn Xd S( uk
Emit a record.
Send the record to the Web server as a percent-encoded dictionary
i Nu GETu ?u &u %c%su :u Hostu POSTu Content-typeu! application/x-www-form-urlencodedu Content-lengthu u%s:%su utf-8u Basic u
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putrequestu putheaderu stru lenu credentialsu base64u encodeu b64encodeu stripu
endheadersu sendu getresponseu KeyboardInterruptu
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u HTTPHandler.emitNF( u __name__u
__module__u __qualname__u __doc__u Falseu Noneu __init__u mapLogRecordu emit( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu HTTPHandler9 s u HTTPHandlerc B sV | Ee Z d Z d Z d d � Z d d � Z d d � Z d d � Z d
d � Z d S(
u BufferingHandleru�
A handler class which buffers logging records in memory. Whenever each
record is added to the buffer, a check is made to see if the buffer should
be flushed. If it should, then flush() is expected to do what's needed.
c C s& t j j | � | | _ g | _ d S( u>
Initialize the handler with the buffer size.
N( u loggingu Handleru __init__u capacityu buffer( u selfu capacity( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__� s u BufferingHandler.__init__c C s t | j � | j k S( u�
Should the handler flush its buffer?
Returns true if the buffer is up to capacity. This method can be
overridden to implement custom flushing strategies.
( u lenu bufferu capacity( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu shouldFlush� s u BufferingHandler.shouldFlushc C s0 | j j | � | j | � r, | j � n d S( u�
Emit a record.
Append the record. If shouldFlush() tells us to, call flush() to process
the buffer.
N( u bufferu appendu shouldFlushu flush( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu emit� s u BufferingHandler.emitc
C s) | j � z
g | _ Wd | j � Xd S( uw
Override to implement custom flushing behaviour.
This version just zaps the buffer to empty.
N( u acquireu bufferu release( u self( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu flush� s
u BufferingHandler.flushc C s | j � t j j | � d S( up
Close the handler.
This version just flushes and chains to the parent class' close().
N( u flushu loggingu Handleru close( u self( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu close� s
u BufferingHandler.closeN( u __name__u
__module__u __qualname__u __doc__u __init__u shouldFlushu emitu flushu close( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu BufferingHandler� s u BufferingHandlerc B s_ | Ee Z d Z d Z e j d d d � Z d d � Z d d � Z d d � Z
d
d � Z d S(
u
MemoryHandleru�
A handler class which buffers 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.
c C s& t j | | � | | _ | | _ d S( u
Initialize the handler with the buffer size, the level at which
flushing should occur and an optional target.
Note that without a target being set either here or via setTarget(),
a MemoryHandler is no use to anyone!
N( u BufferingHandleru __init__u
flushLevelu target( u selfu capacityu
flushLevelu target( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__� s u MemoryHandler.__init__c C s( t | j � | j k p' | j | j k S( uP
Check for buffer full or a record at the flushLevel or higher.
( u lenu bufferu capacityu levelnou
flushLevel( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu shouldFlush� s u MemoryHandler.shouldFlushc C s
| | _ d S( u:
Set the target handler for this handler.
N( u target( u selfu target( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu setTarget� s u MemoryHandler.setTargetc
C sY | j � z= | j rF x! | j D] } | j j | � q Wg | _ n Wd | j � Xd S( u�
For a MemoryHandler, flushing means just sending the buffered
records to the target, if there is one. Override if you want
different behaviour.
The record buffer is also cleared by this operation.
N( u acquireu targetu bufferu handleu release( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu flush� s
u MemoryHandler.flushc
C s@ | j � | j � z d | _ t j | � Wd | j � Xd S( uD
Flush, set the target to None and lose the buffer.
N( u flushu acquireu Noneu targetu BufferingHandleru closeu release( u self( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu close� s
u MemoryHandler.closeN( u __name__u
__module__u __qualname__u __doc__u loggingu ERRORu Noneu __init__u shouldFlushu setTargetu flushu close( u
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MemoryHandler� s u
MemoryHandlerc B sJ | Ee Z d Z d Z d d � Z d d � Z d d � Z d d � Z d
S( u QueueHandleru�
This handler sends events to a queue. Typically, it would be used together
with a multiprocessing Queue to centralise logging to file in one process
(in a multi-process application), so as to avoid file write contention
between processes.
This code is new in Python 3.2, but this class can be copy pasted into
user code for use with earlier Python versions.
c C s t j j | � | | _ d S( uA
Initialise an instance, using the passed queue.
N( u loggingu Handleru __init__u queue( u selfu queue( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__ s u QueueHandler.__init__c C s | j j | � d S( u�
Enqueue a record.
The base implementation uses put_nowait. You may want to override
this method if you want to use blocking, timeouts or custom queue
implementations.
N( u queueu
put_nowait( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu enqueue s u QueueHandler.enqueuec C s/ | j | � | j | _ d | _ d | _ | S( u�
Prepares a record for queuing. The object returned by this method is
enqueued.
The base implementation formats the record to merge the message
and arguments, and 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.
N( u formatu messageu msgu Noneu argsu exc_info( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu prepare s
u QueueHandler.preparec C sP y | j | j | � � Wn/ t t f k
r7 � Yn | j | � Yn Xd S( um
Emit a record.
Writes the LogRecord to the queue, preparing it for pickling first.
N( u enqueueu prepareu KeyboardInterruptu
SystemExitu handleError( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu emit, s u QueueHandler.emitN( u __name__u
__module__u __qualname__u __doc__u __init__u enqueueu prepareu emit( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu QueueHandler� s
u QueueHandlerc B s� | Ee Z d Z d Z d Z d d � Z d d � Z d d � Z d d � Z d
d � Z
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QueueListeneru�
This class implements an internal threaded listener which watches for
LogRecords being added to a queue, removes them and passes them to a
list of handlers for processing.
c G s. | | _ | | _ t j � | _ d | _ d S( uc
Initialise an instance with the specified queue and
handlers.
N( u queueu handlersu threadingu Eventu _stopu Noneu _thread( u selfu queueu handlers( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu __init__B s u QueueListener.__init__c C s | j j | � S( u�
Dequeue 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.
( u queueu get( u selfu block( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu dequeueL s u QueueListener.dequeuec C s7 t j d | j � | _ } | j d � | j � d S( u�
Start the listener.
This starts up a background thread to monitor the queue for
LogRecords to process.
u targetNT( u threadingu Threadu _monitoru _threadu setDaemonu Trueu start( u selfu t( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu startU s
u QueueListener.startc C s | S( u
Prepare a record for handling.
This method 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.
( ( u selfu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu prepare` s u QueueListener.preparec C s4 | j | � } x | j D] } | j | � q Wd S( u�
Handle a record.
This just loops through the handlers offering them the record
to handle.
N( u prepareu handlersu handle( u selfu recordu handler( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu handlej s u QueueListener.handlec C s� | j } t | d � } xq | j j � s� yF | j d � } | | j k rO Pn | j | � | ro | j � n Wq t j k
r� Yq Xq Wxb yF | j d � } | | j k r� Pn | j | � | r� | j � n Wq� t j k
r� PYq� Xq� d S( u�
Monitor the queue for records, and ask the handler
to deal with them.
This method runs on a separate, internal thread.
The thread will terminate if it sees a sentinel object in the queue.
u task_doneNTF( u queueu hasattru _stopu isSetu dequeueu Trueu _sentinelu handleu task_doneu Emptyu False( u selfu qu
has_task_doneu record( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu _monitoru s,
u QueueListener._monitorc C s | j j | j � d S( u
This is used to enqueue the sentinel record.
The base implementation uses put_nowait. You may want to override this
method if you want to use timeouts or work with custom queue
implementations.
N( u queueu
put_nowaitu _sentinel( u self( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu enqueue_sentinel� s u QueueListener.enqueue_sentinelc C s1 | j j � | j � | j j � d | _ d S( u!
Stop 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.
N( u _stopu setu enqueue_sentinelu _threadu joinu None( u self( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu stop� s
u QueueListener.stopN( u __name__u
__module__u __qualname__u __doc__u Noneu _sentinelu __init__u dequeueu startu prepareu handleu _monitoru enqueue_sentinelu stop( u
__locals__( ( u5 /opt/alt/python33/lib64/python3.3/logging/handlers.pyu
QueueListener: s
u
QueueListeneri� i�Q (+ u __doc__u errnou loggingu socketu osu pickleu structu timeu reu codecsu BOM_UTF8u statu ST_DEVu ST_INOu ST_MTIMEu queueu threadingu ImportErroru Noneu DEFAULT_TCP_LOGGING_PORTu DEFAULT_UDP_LOGGING_PORTu DEFAULT_HTTP_LOGGING_PORTu DEFAULT_SOAP_LOGGING_PORTu SYSLOG_UDP_PORTu SYSLOG_TCP_PORTu _MIDNIGHTu FileHandleru BaseRotatingHandleru RotatingFileHandleru TimedRotatingFileHandleru WatchedFileHandleru Handleru
SocketHandleru DatagramHandleru
SysLogHandleru SMTPHandleru NTEventLogHandleru HTTPHandleru BufferingHandleru
MemoryHandleru QueueHandleru objectu
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