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)
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)
