[Spambayes-checkins] spambayes README.txt,1.51,1.52

Tony Meyer anadelonbrin at users.sourceforge.net
Tue Sep 9 01:44:01 EDT 2003


Update of /cvsroot/spambayes/spambayes
In directory sc8-pr-cvs1:/tmp/cvs-serv12808

Modified Files:
	README.txt 
Log Message:
Update documentation to new script names.  Procmail section needs finishing.

Index: README.txt
===================================================================
RCS file: /cvsroot/spambayes/spambayes/README.txt,v
retrieving revision 1.51
retrieving revision 1.52
diff -C2 -d -r1.51 -r1.52
*** README.txt	25 Aug 2003 08:55:19 -0000	1.51
--- README.txt	9 Sep 2003 07:43:59 -0000	1.52
***************
*** 67,71 ****
  If you get your mail from a POP3 server, then all you should need to do
  to get running is change your mail client to send and receive mail from
! "localhost", and then run "python pop3proxy.py -b" in the directory you
  expanded the SpamBayes source into.  This will open a web browser window
  - click the "Configuration" link at the top right and fill in the various
--- 67,71 ----
  If you get your mail from a POP3 server, then all you should need to do
  to get running is change your mail client to send and receive mail from
! "localhost", and then run "python sb_server.py -b" in the directory you
  expanded the SpamBayes source into.  This will open a web browser window
  - click the "Configuration" link at the top right and fill in the various
***************
*** 113,117 ****
  Now launch pop3proxy, either by running the "pop3proxy_service.py" script
  (for those using Windows 2000, Windows NT or Windows XP), or the
! "pop3proxy.py" script (for everyone else).
  
  All you need to do to configure SpamBayes is to open a web page to
--- 113,117 ----
  Now launch pop3proxy, either by running the "pop3proxy_service.py" script
  (for those using Windows 2000, Windows NT or Windows XP), or the
! "sb_server.py" script (for everyone else).
  
  All you need to do to configure SpamBayes is to open a web page to
***************
*** 138,145 ****
  -----------
  
! To configure SpamBayes, run the "imapfilter.py" script, and open a web page
! to <http://localhost:8880>, click on the "Configuration" link at the top
! right, and fill in the relevant details.  Everything should be ok with the
! defaults, except for the server information at the top.
  
  You now need to let SpamBayes know which IMAP folders it should work with.
--- 138,145 ----
  -----------
  
! To configure SpamBayes, run the "sb_imapfilter.py" script, and open a web
! page to <http://localhost:8880>, click on the "Configuration" link at the
! top right, and fill in the relevant details.  Everything should be ok with
! the defaults, except for the server information at the top.
  
  You now need to let SpamBayes know which IMAP folders it should work with.
***************
*** 154,158 ****
  You then need to set the IMAP filter up to run periodically.  At the moment,
  you'll need to do this from a command (or DOS) prompt.  You should run the
! command "python imapfilter.py -c -t -l 5".  The '-c' means that the script
  should classify new mail, the '-t' means that the script should train any
  mail that you have told it to, and the '-l 5' means that the script should
--- 154,158 ----
  You then need to set the IMAP filter up to run periodically.  At the moment,
  you'll need to do this from a command (or DOS) prompt.  You should run the
! command "python sb_imapfilter.py -c -t -l 5".  The '-c' means that the script
  should classify new mail, the '-t' means that the script should train any
  mail that you have told it to, and the '-l 5' means that the script should
***************
*** 167,171 ****
  Procmail is straightforward.
  
! First, create a SpamBayes database, by running "hammiefilter.py -n".  If
  you have some mail around that you can use to train it, do you (see the
  "command line training" section below).  Note that if you don't, all your
--- 167,171 ----
  Procmail is straightforward.
  
! First, create a SpamBayes database, by running "sb_filter.py -n".  If
  you have some mail around that you can use to train it, do you (see the
  "command line training" section below).  Note that if you don't, all your
***************
*** 187,191 ****
  
      :0 fw:hamlock
!     | /usr/local/bin/hammie.py -f -d -p $HOME/hammie.db
  
  The above Procmail recipe tells it to run /usr/local/bin/hammie.py in filter
--- 187,191 ----
  
      :0 fw:hamlock
!     | /usr/local/bin/hammie.py -f -d -p $HOME/.hammie.db
  
  The above Procmail recipe tells it to run /usr/local/bin/hammie.py in filter
***************
*** 199,203 ****
  The result of running hammie.py in filter mode is that Procmail will use the
  output from the run as the mail message for further processing downstream.
! Hammie.py inserts an X-SpamBayes-Classification header in the output message
  which looks like:
  
--- 199,203 ----
  The result of running hammie.py in filter mode is that Procmail will use the
  output from the run as the mail message for further processing downstream.
! hammie.py inserts an X-SpamBayes-Classification header in the output message
  which looks like:
  





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