def generator(): #sched = scheduler.Scheduler() #sched.schedule() u = LoadUserData(conf_path) table, footer = readReplyTable.read(exec_path + "/common/replyTable.json") dbSession = model.startSession(u) if False: #if( sched.has_schedule() ): str = doSchedule(sched) else: rep = dbSession.query(model.RetQueue) if (rep.count() > 0): sentence, reply_id = reply.do(table, rep, dbSession) else: #try: # 予定もreplyもないならhotでも取り出してマルコフ連鎖する # str,sl = CreateMarkovSentenceWithHot(dbSession) #except: # print "Unexpected error:", sys.exc_info()[0] str, sl = vsearch.depthFirstSearch2("yystart", "yyend", 15) print_d(str) print_d(len(sl)) asl = afterEffect(sl, footer) sentence = "" reply_id = -1 for i in asl: sentence += i sendMessage(sentence, reply_id)
def quickAnalyze(): # dbからデータを読み込む u = LoadUserData(conf_path) dbSession = model.startSession(u) table, footer = readReplyTable.read(exec_path + "/common/replyTable.json") regexes = makeRegexes(table) # 前回の更新時間から現在までのデータを入手する q = dbSession.query(model.Tweet) tq = q.filter(model.Tweet.isAnalyze == 0)[:10000] for t in tq: #1発言毎 t.text = RemoveCharacter(t.text) #print_d2(t.text) analyzeReply2(t,dbSession,table,regexes) t.isAnalyze = 1 t_enc = t.text.encode(g_mecabencode,'ignore') sarray = mecab.sparse_all(t_enc,mecabPath).split("\n") sarray2 = connectUnderScore(sarray) markovWordList,topNWordList = TakeWordList(sarray) #最近出た名詞貯める for tn in topNWordList: hot = model.Hot() hot.word = unicode(tn,g_systemencode) dbSession.add(hot) dbSession.add(t) dbSession.commit()
def generator(): #sched = scheduler.Scheduler() #sched.schedule() u = LoadUserData(conf_path) table, footer= readReplyTable.read(exec_path+"/common/replyTable.json") dbSession = model.startSession(u) if False: #if( sched.has_schedule() ): str = doSchedule(sched) else: rep = dbSession.query(model.RetQueue) if( rep.count() > 0 ): sentence, reply_id = reply.do(table, rep, dbSession) else: #try: # 予定もreplyもないならhotでも取り出してマルコフ連鎖する # str,sl = CreateMarkovSentenceWithHot(dbSession) #except: # print "Unexpected error:", sys.exc_info()[0] str,sl = vsearch.depthFirstSearch2("yystart","yyend",15) print_d(str) print_d(len(sl)) asl = afterEffect(sl,footer) sentence = "" reply_id = -1 for i in asl: sentence += i sendMessage(sentence, reply_id)
def quickGenerate(): #sched = scheduler.Scheduler() #sched.schedule() u = LoadUserData(conf_path) table, footer= readReplyTable.read(exec_path+"/common/replyTable.json") dbSession = model.startSession(u) if False: if( sched.has_schedule() ): str = doSchedule(sched) else: rep = dbSession.query(model.RetQueue) if( rep.count() > 0 ): str, reply_id = reply.do(table, rep,dbSession) sendMessage(str,reply_id)