## @mainpage Writing Milters in Python # # At the lowest level, the milter module provides a thin wrapper # around the sendmail # libmilter API. This API lets you register callbacks for a number of # events in the process of sendmail receiving a message via SMTP. These # events include the initial connection from a MTA, the envelope sender and # recipients, the top level mail headers, and the message body. There are # options to mangle all of these components of the message as it passes through # the milter. # # At the next level, the Milter module (note the case difference) # provides a Python friendly object oriented wrapper for the low level API. To # use the Milter module, an application registers a 'factory' to create an # object for each connection from a MTA to sendmail. These connection objects # must provide methods corresponding to the libmilter callback events. # # Each event method returns a code to tell sendmail whether to proceed with # processing the message. This is a big advantage of milters over other mail # filtering systems. Unwanted mail can be stopped in its tracks at the # earliest possible point. # # The Milter.Base class provides default implementations for # event methods that do nothing, and also provides wrappers for the libmilter # methods to mutate the message. It automatically negotiates with MTA # which protocol steps need to be processed by the milter, based on # which callback methods are overridden. # # The Milter.Milter class provides an alternate default # implementation that logs the main milter events, but otherwise does nothing. # It is provided for compatibility. # # The mime module provides a wrapper for the Python email package # that fixes some bugs, and simplifies modifying selected parts of a MIME # message. # # @section threading # # The libmilter library which pymilter wraps # handles # all signals itself, and expects to be called from a single main thread. # It handles SIGTERM, SIGHUP, and SIGINT, mapping the first two to # smfi_stop # and the last to an internal ABORT. # # If you use python threads or threading modules, then signal handling gets # confused. Threads may still be useful, but you may need to provide an # alternate means of causing graceful shutdown. # # You may find the # # multiprocessing module useful. It can be a drop-in # replacement for threading as illustrated in @ref milter-template.py.