1 $ ˆl–Ãa¾”d*j"TÚ�zã@¸Ø”ţ „Á¿Ä?÷ # -*- Mode: Python -*- # Id: asyncore.py,v 2.51 2000/09/07 22:29:26 rushing Exp # Author: Sam Rushing # ====================================================================== # Copyright 1996 by Sam Rushing # # All Rights Reserved # # Permission to use, copy, modify, and distribute this software and # its documentation for any purpose and without fee is hereby # granted, provided that the above copyright notice appear in all # copies and that both that copyright notice and this permission # notice appear in supporting documentation, and that the name of Sam # Rushing not be used in advertising or publicity pertaining to # distribution of the software without specific, written prior # permission. # # SAM RUSHING DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, # INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN # NO EVENT SHALL SAM RUSHING BE LIABLE FOR ANY SPECIAL, INDIRECT OR # CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS # OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, # NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN # CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. # ====================================================================== """Basic infrastructure for asynchronous socket service clients and servers. There are only two ways to have a program on a single processor do "more than one thing at a time". Multi-threaded programming is the simplest and most popular way to do it, but there is another very different technique, that lets you have nearly all the advantages of multi-threading, without actually using multiple threads. it's really only practical if your program is largely I/O bound. If your program is CPU bound, then pre-emptive scheduled threads are probably what you really need. Network servers are rarely CPU-bound, however. If your operating system supports the select() system call in its I/O library (and nearly all do), then you can use it to juggle multiple communication channels at once; doing other work while your I/O is taking place in the "background." Although this strategy can seem strange and complex, especially at first, it is in many ways easier to understand and control than multi-threaded programming. The module documented here solves many of the difficult problems for you, making the task of building sophisticated high-performance network servers and clients a snap. """ import select import socket import sys import time import warnings import os from errno import EALREADY, EINPROGRESS, EWOULDBLOCK, ECONNRESET, EINVAL, \ ENOTCONN, ESHUTDOWN, EISCONN, EBADF, ECONNABORTED, EPIPE, EAGAIN, \ errorcode _DISCONNECTED = frozenset({ECONNRESET, ENOTCONN, ESHUTDOWN, ECONNABORTED, EPIPE, EBADF}) try: socket_map except NameError: socket_map = {} def _strerror(err): try: return os.strerror(err) except (ValueError, OverflowError, NameError): if err in errorcode: return errorcode[err] return "Unknown error %s" %err class ExitNow(Exception): pass _reraised_exceptions = (ExitNow, KeyboardInterrupt, SystemExit) def read(obj): try: obj.handle_read_event() except _reraised_exceptions: raise except: obj.handle_error() def write(obj): try: obj.handle_write_event() except _reraised_exceptions: raise except: obj.handle_error() def _exception(obj): try: obj.handle_expt_event() except _reraised_exceptions: raise except: obj.handle_error() def readwrite(obj, flags): try: if flags & select.POLLIN: obj.handle_read_event() if flags & select.POLLOUT: obj.handle_write_event() if flags & select.POLLPRI: obj.handle_expt_event() if flags & (select.POLLHUP | select.POLLERR | select.POLLNVAL): obj.handle_close() except OSError as e: