## @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 milter-template.