This is a python port of the MegaHAL project (an eliza-like bot that utilizes a 4th-order Markov algorithm to learn from input it receives and generate random responses).
For more information on how the bot works, see the original project at http://megahal.alioth.debian.org/
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.002596s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.088364s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001873s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001955s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.002210s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003774s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.002236s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.004846s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.019758s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.002839s ]
UPDATE `jrk_articles` SET `hits` = 1 WHERE `id` = 39126 [ RunTime:0.001444s ]
