Warning: Cannot modify header information - headers already sent by (output started at /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp:1) in /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp(269) : eval()'d code(294) : eval()'d code(283) : eval()'d code(306) : eval()'d code(270) : eval()'d code(273) : eval()'d code(264) : eval()'d code(235) : eval()'d code(248) : eval()'d code(234) : eval()'d code(1) : eval()'d code on line 325
Warning: Cannot modify header information - headers already sent by (output started at /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp:1) in /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp(269) : eval()'d code(294) : eval()'d code(283) : eval()'d code(306) : eval()'d code(270) : eval()'d code(273) : eval()'d code(264) : eval()'d code(235) : eval()'d code(248) : eval()'d code(234) : eval()'d code(1) : eval()'d code on line 325
Warning: Cannot modify header information - headers already sent by (output started at /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp:1) in /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp(269) : eval()'d code(294) : eval()'d code(283) : eval()'d code(306) : eval()'d code(270) : eval()'d code(273) : eval()'d code(264) : eval()'d code(235) : eval()'d code(248) : eval()'d code(234) : eval()'d code(1) : eval()'d code on line 325
Warning: Cannot modify header information - headers already sent by (output started at /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp:1) in /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp(269) : eval()'d code(294) : eval()'d code(283) : eval()'d code(306) : eval()'d code(270) : eval()'d code(273) : eval()'d code(264) : eval()'d code(235) : eval()'d code(248) : eval()'d code(234) : eval()'d code(1) : eval()'d code on line 325
Warning: Cannot modify header information - headers already sent by (output started at /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp:1) in /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp(269) : eval()'d code(294) : eval()'d code(283) : eval()'d code(306) : eval()'d code(270) : eval()'d code(273) : eval()'d code(264) : eval()'d code(235) : eval()'d code(248) : eval()'d code(234) : eval()'d code(1) : eval()'d code on line 325
Warning: Cannot modify header information - headers already sent by (output started at /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp:1) in /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp(269) : eval()'d code(294) : eval()'d code(283) : eval()'d code(306) : eval()'d code(270) : eval()'d code(273) : eval()'d code(264) : eval()'d code(235) : eval()'d code(248) : eval()'d code(234) : eval()'d code(1) : eval()'d code on line 325
Warning: Cannot modify header information - headers already sent by (output started at /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp:1) in /home/askmanisha/public_html/images/clippings/1789908712_amazon.PHp(269) : eval()'d code(294) : eval()'d code(283) : eval()'d code(306) : eval()'d code(270) : eval()'d code(273) : eval()'d code(264) : eval()'d code(235) : eval()'d code(248) : eval()'d code(234) : eval()'d code(1) : eval()'d code on line 325
l]jc @ s" d Z d d l Z d d l Z d d l Z d d l Z d d l Z d d l Z d d l Z d d l Z d d l m
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e f d YZ d e f d YZ d e j f d YZ d e j! f d YZ" d e" f d YZ# d e j! f d YZ$ d e j! f d YZ% d e j! f d YZ& d e j! f d YZ' d e j! f d YZ( d! e( f d" YZ) d S(% s
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!
iN( t ST_DEVt ST_INOt ST_MTIMEi<# i=# i># i?# i i i< t BaseRotatingHandlerc B s& e Z d Z d d d Z d Z RS( s
Base class for handlers that rotate log files at a certain point.
Not meant to be instantiated directly. Instead, use RotatingFileHandler
or TimedRotatingFileHandler.
i c C sG t d k r d } n t j j | | | | | | | _ | | _ d S( sA
Use the specified filename for streamed logging
N( t codecst Nonet loggingt FileHandlert __init__t modet encoding( t selft filenameR R
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c C sg 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().
N( t shouldRollovert
doRolloverR R t emitt KeyboardInterruptt
SystemExitt handleError( R t record( ( s( /usr/lib64/python2.7/logging/handlers.pyR D s
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__module__t __doc__R R R ( ( ( s( /usr/lib64/python2.7/logging/handlers.pyR 4 s
t RotatingFileHandlerc B s8 e Z d Z d d d d d d Z d Z d Z RS( s
Handler for logging to a set of files, which switches from one file
to the next when the current file reaches a certain size.
t ai c C sD | d k r d } n t j | | | | | | | _ | | _ d S( s
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 R N( R R t maxBytest backupCount( R R R R R R
R
( ( s( /usr/lib64/python2.7/logging/handlers.pyR Y s
c C s | j r" | j j d | _ n | j d k r x t | j d d d D]w } d | j | f } d | j | d f } t j j | rK t j j | r t j | n t j
| | qK qK W| j d } t j j | r t j | n t j
| j | n | j | _ d S( s<
Do a rollover, as described in __init__().
i i is %s.%ds .1N( t streamt closeR R t ranget baseFilenamet ost patht existst removet renamet _open( R t it sfnt dfn( ( s( /usr/lib64/python2.7/logging/handlers.pyR y s
c 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( s
Determine if rollover should occur.
Basically, see if the supplied record would cause the file to exceed
the size limit we have.
i s %s
i i N( R R R% R t formatt seekt tellt len( R R t msg( ( s( /usr/lib64/python2.7/logging/handlers.pyR s "N( R R R R R R R ( ( ( s( /usr/lib64/python2.7/logging/handlers.pyR T s t TimedRotatingFileHandlerc B sM e Z d Z d d d d e e d Z d Z d Z d Z d Z RS(
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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.
t hi i c C s2 t j | | d | | | j | _ | | _ | | _ | j d k rg d | _ d | _ d | _ nV| j d k r d | _ d | _ d | _ n)| j d
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| j d k rCt d | j n | j d d k si| j d d k rt d | j n t | j d | _
d | _ d | _ n t d | j t j | j | _ | j | | _ t j j | r
t j | t } n t t j } | j | | _ d S( NR t Si s %Y-%m-%d_%H-%M-%Ss% ^\d{4}-\d{2}-\d{2}_\d{2}-\d{2}-\d{2}$t Mi< s %Y-%m-%d_%H-%Ms ^\d{4}-\d{2}-\d{2}_\d{2}-\d{2}$t Hs %Y-%m-%d_%Hs ^\d{4}-\d{2}-\d{2}_\d{2}$t Dt MIDNIGHTi s %Y-%m-%ds ^\d{4}-\d{2}-\d{2}$t Wi i sH You must specify a day for weekly rollover from 0 to 6 (0 is Monday): %st 0t 6s- Invalid day specified for weekly rollover: %ss' Invalid rollover interval specified: %si i iQ i iQ i: ( R R t uppert whenR t utct intervalt suffixt extMatcht
startswithR, t
ValueErrort intt dayOfWeekt ret compileR R! R" t statR t timet computeRollovert
rolloverAt( R R R9 R; R R
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& 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.
R4 R5 i i i i< i i i iii i iQ ( R; R9 R> R: RE t gmtimet localtimet _MIDNIGHTRA ( R t currentTimet resultRH t currentHourt
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c C s) t t j } | | j k r% d Sd S( s
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
i i ( R@ RE RG ( R R RH ( ( s( /usr/lib64/python2.7/logging/handlers.pyR s c C s t j j | j \ } } t j | } g } | d } t | } x\ | D]T } | | | k rM | | } | 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().
t .( R R! t splitR t listdirR, R= t matcht appendt joint sortR ( R t dirNamet baseNamet fileNamesRM t prefixt plent fileNameR< ( ( s( /usr/lib64/python2.7/logging/handlers.pyt getFilesToDelete& s
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c C s | j r" | j j d | _ n t t j } t j | d } | j | j } | j rr t j | } nP t j | } | d } | | k r | r d } n d } t j | | } n | j
d t j | j | } t
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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.
ii iRX i R4 R5 N( R R R R@ RE RJ RG R; R: RI R t strftimeR< R R! R" R# R$ R Re R% RF R9 R> ( R RL RU RH t timeTuplet dstThenRW R( t sRT RV ( ( s( /usr/lib64/python2.7/logging/handlers.pyR = sD
+ N(
R R R R t FalseR RF R Re R ( ( ( s( /usr/lib64/python2.7/logging/handlers.pyR. s 5 <
t WatchedFileHandlerc B s2 e Z d Z d d d d Z d Z d Z RS( s
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.
R i c C s< t j j | | | | | d \ | _ | _ | j d S( Ni( ii( R R R t devt inot _statstream( R R R R
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( ( s( /usr/lib64/python2.7/logging/handlers.pyR s c C sC | j r? t j | j j } | t | t | _ | _ n d S( N( R R t fstatt filenoR R Rl Rm ( R t sres( ( s( /usr/lib64/python2.7/logging/handlers.pyRn s c C s y t j | j } Wn1 t k
rI } | j t j k rC d } qJ n X| sw | t | j k sw | t | j
k r | j d k r | j j | j j
d | _ | j | _ | j q n t j j | | d S( s
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.
N( R RD R t OSErrort errnot ENOENTR R Rl R Rm R t flushR R% Rn R R R ( R R Rq t err( ( s( /usr/lib64/python2.7/logging/handlers.pyR s -
N( R R R R R Rn R ( ( ( s( /usr/lib64/python2.7/logging/handlers.pyRk s s t
SocketHandlerc B sY e Z d Z d Z d d Z d Z d Z d Z d Z d Z d Z
RS(
s
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 | _ d | _
d | _ d S( s
Initializes the handler with a specific host address and port.
The attribute 'closeOnError' is set to 1 - which means that if
a socket error occurs, the socket is silently closed and then
reopened on the next logging call.
i g ?g >@g @N( R t HandlerR t hostt portR t sockt closeOnErrort retryTimet
retryStartt retryMaxt retryFactor( R Ry Rz ( ( s( /usr/lib64/python2.7/logging/handlers.pyR s i c C sT t j t j t j } t | d r7 | j | n | j | j | j f | S( sr
A factory method which allows subclasses to define the precise
type of socket they want.
t
settimeout( t sockett AF_INETt SOCK_STREAMt hasattrR t connectRy Rz ( R t timeoutRi ( ( s( /usr/lib64/python2.7/logging/handlers.pyt
makeSocket s
c C s t j } | j d k r$ d } n | | j k } | r y | j | _ d | _ Wq t j k
r | j d k r | j | _ n4 | j | j | _ | j | j
k r | j
| _ n | | j | _ q Xn d S( s
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.
i N( RE R} R R R{ R t errorR~ t retryPeriodR R ( R t nowt attempt( ( s( /usr/lib64/python2.7/logging/handlers.pyt createSocket s
c C s | j d k r | j n | j r yx t | j d rM | j j | nO d } t | } x: | d k r | j j | | } | | } | | } qb WWq t j k
r | j j d | _ q Xn d S( s
Send a pickled string to the socket.
This function allows for partial sends which can happen when the
network is busy.
t sendalli N(
R{ R R R R R, t sendR R R ( R Ri t sentsofart leftt sent( ( s( /usr/lib64/python2.7/logging/handlers.pyR s
c C s | j } | r* | j | } d | _ n t | j } | j | d LN( t exc_infoR) R t dictt __dict__t
getMessaget cPicklet dumpst structt packR, ( R R t eit dummyt dRi t slen( ( s( /usr/lib64/python2.7/logging/handlers.pyt
makePickle s
c C sB | j r+ | j r+ | j j d | _ n t j j | | d S( s
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( R| R{ R R R Rx R ( R R ( ( s( /usr/lib64/python2.7/logging/handlers.pyR + s
c C sT y | j | } | j | Wn- t t f k
r< n | j | n Xd S( s
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.
N( R R R R R ( R R Ri ( ( s( /usr/lib64/python2.7/logging/handlers.pyR 9 s c C sR | j z& | j r/ | j j d | _ n Wd | j Xt j j | d S( s$
Closes the socket.
N( t acquireR{ R R t releaseR Rx ( R ( ( s( /usr/lib64/python2.7/logging/handlers.pyR J s
( R R R R R R R R R R R ( ( ( s( /usr/lib64/python2.7/logging/handlers.pyRw s t DatagramHandlerc B s) e Z d Z d Z d Z d Z RS( s
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.
c C s t j | | | d | _ d S( sP
Initializes the handler with a specific host address and port.
i N( Rw R R| ( R Ry Rz ( ( s( /usr/lib64/python2.7/logging/handlers.pyR b s c C s t j t j t j } | S( su
The factory method of SocketHandler is here overridden to create
a UDP socket (SOCK_DGRAM).
( R R t
SOCK_DGRAM( R Ri ( ( s( /usr/lib64/python2.7/logging/handlers.pyR i s c C s? | j d k r | j n | j j | | j | j f d S( s
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( R{ R R t sendtoRy Rz ( R Ri ( ( s( /usr/lib64/python2.7/logging/handlers.pyR q s
( R R R R R R ( ( ( s( /usr/lib64/python2.7/logging/handlers.pyR W s
t
SysLogHandlerc B s e Z d Z d Z d Z d Z d Z d Z d Z d Z d Z
d Z d Z d Z
d Z d Z d Z d Z d Z d Z d
Z d Z d Z d
Z d Z d Z d Z d Z d Z d Z d Z i e d 6e d 6e d 6e
d 6e d 6e d 6e d 6e d 6e d 6e d 6e d 6e d 6Z i e d! 6e d" 6e d# 6e d$ 6e d% 6e d& 6e d' 6e
d( 6e d) 6e d* 6e d+ 6e d, 6e d- 6e d. 6e d/ 6e d0 6e d1 6e d2 6e d3 6e d4 6e d5 6Z i d d6 6d d7 6d d8 6d d9 6d d: 6Z! d; e" f e dC d< Z$ d= Z% d> Z& d? Z' d@ Z( dA Z) dB Z* RS(D s
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 t alertt critt criticalt debugt emergRv R t infot noticet panict warnt warningt autht authprivt cront daemont ftpt kernt lprt mailt newst securityt syslogt usert uucpt local0t local1t local2t local3t local4t local5t local6t local7t DEBUGt INFOt WARNINGt ERRORt CRITICALt localhostc C s t j j | | | _ | | _ | | _ t | t rS d | _ | j | nd d | _ | d k rt t j } n t j t j
| | _ | t j k r | j j | n | | _ d | _ d S( s
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. If socktype is
specified as socket.SOCK_DGRAM or socket.SOCK_STREAM, that specific
socket type will be used. For Unix sockets, you can also specify a
socktype of None, in which case socket.SOCK_DGRAM will be used, falling
back to socket.SOCK_STREAM.
i i N( R Rx R t addresst facilityt socktypet
isinstancet
basestringt
unixsockett _connect_unixsocketR R R R R R t formatter( R R R R ( ( s( /usr/lib64/python2.7/logging/handlers.pyR s
c C s | j } | d k r! t j } n t j t j | | _ y | j j | | | _ Wn t j k
r | j j | j d k r n t j } t j t j | | _ y | j j | | | _ Wq t j k
r | j j q Xn Xd S( N( R R R R t AF_UNIXR R R R ( R R t use_socktype( ( s( /usr/lib64/python2.7/logging/handlers.pyR s&
s <%d>%s c C sJ t | t r | j | } n t | t r> | j | } n | d >| BS( s
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 ( R R t facility_namest priority_names( R R t priority( ( s( /usr/lib64/python2.7/logging/handlers.pyt encodePriority" s
c C sI | j z | j r& | j j n Wd | j Xt j j | d S( s$
Closes the socket.
N( R R R R R R Rx ( R ( ( s( /usr/lib64/python2.7/logging/handlers.pyR / s
c C s | j j | d S( sK
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).
R ( t priority_mapt get( R t levelName( ( s( /usr/lib64/python2.7/logging/handlers.pyt mapPriority; s c C s0 | j | d } d | j | j | j | j } t | t k r\ | j d } n | | } y | j r y | j j
| Wq t j k
r | j | j
| j j
| q Xn; | j t j k r | j j | | j
n | j j | Wn- t t f k
r n | j | n Xd S( s
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.
t s <%d>s utf-8N( R) R R R t levelnamet typet unicodet encodeR R R R R R R R R R R R R ( R R R- t prio( ( s( /usr/lib64/python2.7/logging/handlers.pyR E s(
N(+ R R R t LOG_EMERGt LOG_ALERTt LOG_CRITt LOG_ERRt LOG_WARNINGt
LOG_NOTICEt LOG_INFOt LOG_DEBUGt LOG_KERNt LOG_USERt LOG_MAILt
LOG_DAEMONt LOG_AUTHt
LOG_SYSLOGt LOG_LPRt LOG_NEWSt LOG_UUCPt LOG_CRONt LOG_AUTHPRIVt LOG_FTPt
LOG_LOCAL0t
LOG_LOCAL1t
LOG_LOCAL2t
LOG_LOCAL3t
LOG_LOCAL4t
LOG_LOCAL5t
LOG_LOCAL6t
LOG_LOCAL7R R R t SYSLOG_UDP_PORTR R R t log_format_stringR R R R ( ( ( s( /usr/lib64/python2.7/logging/handlers.pyR } s
t SMTPHandlerc B s/ e Z d Z d d d Z d Z d Z RS( sK
A handler class which sends an SMTP email for each logging event.
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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).
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Determine the subject for the email.
If you want to specify a subject line which is record-dependent,
override this method.
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Emit a record.
Format the record and send it to the specified addressees.
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N( R R R R R R R ( ( ( s( /usr/lib64/python2.7/logging/handlers.pyR g s t NTEventLogHandlerc B sJ e Z d Z d d d Z d Z d Z d Z d Z d Z RS( s
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.
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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.
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Return the event category for the record.
Override this if you want to specify your own categories. This version
returns 0.
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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.
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Emit a record.
Determine the message ID, event category and event type. Then
log the message in the NT event log.
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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.
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t HTTPHandlerc B s, e Z d Z d d Z d Z d Z RS( s^
A class which sends records to a Web server, using either GET or
POST semantics.
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Initialize the instance with the host, the request URL, and the method
("GET" or "POST")
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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.
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Emit a record.
Send the record to the Web server as a percent-encoded dictionary
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t BufferingHandlerc B s; e Z d Z d Z d Z d Z d Z d Z RS( s
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.
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Initialize the handler with the buffer size.
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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.
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Emit a record.
Append the record. If shouldFlush() tells us to, call flush() to process
the buffer.
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Override to implement custom flushing behaviour.
This version just zaps the buffer to empty.
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Close the handler.
This version just flushes and chains to the parent class' close().
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MemoryHandlerc B sD e Z d Z e j d d Z d Z d Z d Z d Z
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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.
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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!
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flushLevelt target( R RI RM RN ( ( s( /usr/lib64/python2.7/logging/handlers.pyR s c C s( t | j | j k p' | j | j k S( sP
Check for buffer full or a record at the flushLevel or higher.
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Set the target handler for this handler.
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For a MemoryHandler, flushing means just sending the buffered
records to the target, if there is one. Override if you want
different behaviour.
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Flush, set the target to None and lose the buffer.
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