def run(query):
#if __name__ == '__main__':
#初始化jb分词器
T.jieba_initialize()
#切换到语料库所在工作目录
mybot_path = './'
os.chdir(mybot_path)
mybot = aiml.Kernel()
mybot.learn(os.path.split(os.path.realpath(__file__))[0]+"/resources/std-startup.xml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/bye.aiml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/tools.aiml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/bad.aiml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/funny.aiml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/OrdinaryQuestion.aiml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/Common conversation.aiml")
if len(query) > 60:
answer = '句子长度过长'
elif query.strip() == '':
answer = mybot.respond('无')
else:
message = T.wordSegment(query)
words = T.postag(query)
response = mybot.respond(message)
if response == '':
answer = mybot.respond('找不到答案')
elif response[0] == '#':
if response.__contains__("searchbaike"):
res = response.split(':')
entity = str(res[1]).replace(" ","")
attr = str(res[2]).replace(" ","")
ans = baike.query(entity, attr)
if '找不到' not in ans:
answer = ans
elif ans.__contains__('找不到'):
answer = search_summary.kwquery(query)
if len(answer) == 0:
answer = mybot.respond('找不到答案')
elif len(answer) == 1:
print(answer)
answer = answer[0].strip().replace(' ','').replace("\n","")
else:
answer = '找不到答案'
else:
answer = '找不到答案'
else:
answer = search_summary.kwquery(query)
if len(answer) == 0:
answer = mybot.respond('找不到答案')
elif len(answer) == 1:
answer = answer[0].strip().replace(' ','').replace("\n","")
else:
answer = '找不到答案'
return answer
def qa():
#初始化jb分词器
T.jieba_initialize()
#切换到语料库所在工作目录
mybot_path = './'
# os.chdir(mybot_path)
mybot = aiml.Kernel()
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/std-startup.xml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/Common conversation.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] + "/resources/bye.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] + "/resources/tools.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] + "/resources/bad.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] + "/resources/funny.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/OrdinaryQuestion.aiml")
# mybot.respond('Load Doc Snake')
#载入百科属性列表
print '''
.----------------. .-----------------. .----------------. .----------------. .----------------.
| .--------------. || .--------------. || .--------------. || .--------------. || .--------------. |
| | _______ | || | ____ _____ | || | __ | || | ___ ____ | || | _________ | |
| | / ___ | | || ||_ \|_ _| | || | / \ | || | |_ ||_ _| | || | |_ ___ | | |
| | | (__ \_| | || | | \ | | | || | / /\ \ | || | | |_/ / | || | | |_ \_| | |
| | '.___`-. | || | | |\ \| | | || | / /__\ \ | || | | __'. | || | | _| _ | |
| | |`\____) | | || | _| |_\ |_ | || | _/ / \ \_ | || | _| | \ \_ | || | _| |___/ | | |
| | |_______.' | || ||_____|\____| | || ||____| |____|| || | |____||____| | || | |_________| | |
| | | || | | || | | || | | || | | |
| '--------------' || '--------------' || '--------------' || '--------------' || '--------------' |
'----------------' '----------------' '----------------' '----------------' '----------------'
Eric：你好，我是Eric。╭(╯^╰)╮
'''
while True:
input_message = raw_input("Enter your message >> ")
if len(input_message) > 60:
print mybot.respond("句子长度过长")
continue
elif input_message.strip() == '':
print mybot.respond("无")
continue
print input_message
message = T.wordSegment(input_message)
# 去标点
print 'word Seg:' + message
print '词性：'
words = T.postag(input_message)
if message == 'q':
exit()
else:
response = mybot.respond(message)
print "======="
print response
print "======="
if response == "":
ans = mybot.respond('找不到答案')
print 'Eric：' + ans
# 百科搜索
elif response[0] == '#':
# 匹配百科
if response.__contains__("searchbaike"):
print "searchbaike"
print response
res = response.split(':')
#实体
entity = str(res[1]).replace(" ", "")
#属性
attr = str(res[2]).replace(" ", "")
print entity + '<---->' + attr
ans = baike.query(entity, attr)
# 如果命中答案
if type(ans) == list:
print 'Eric：' + QAT.ptranswer(ans, False)
continue
elif ans.decode('utf-8').__contains__(u'::找不到'):
#百度摘要+Bing摘要
print "通用搜索"
ans = search_summary.kwquery(input_message)
# 匹配不到模版，通用查询
elif response.__contains__("NoMatchingTemplate"):
print "NoMatchingTemplate"
ans = search_summary.kwquery(input_message)
if len(ans) == 0:
ans = mybot.respond('找不到答案')
print 'Eric：' + ans
elif len(ans) > 1:
print "不确定候选答案"
print 'Eric: '
for a in ans:
print a.encode("utf8")
else:
print 'Eric：' + ans[0].encode("utf8")
# 匹配模版
else:
print 'Eric：' + response
def QA(input_message, mybot):
findAns = False
reply = ''
ansdict = {}
dbname = 'zwgx' #数据库名
dbip = 'localhost' #数据库IPlocalhost
dbport = 3306 #数据库端口
dbusername = '******' #数据库用户名
dbpassword = '******' #数据库密码root
schoolname = ''
intention = ''
if len(input_message) > 60:
reply = mybot.respond("句子长度过长")
findAns = True
elif input_message.strip() == '无':
reply = mybot.respond("无")
findAns = True
if (findAns == False):
#print input_message
#传入一个b''未加工的对象
message = T.wordSegment(input_message)
# 分词去标点
if message == 'q':
exit()
else:
print 'word Seg:' + message
print utf_to_bgk('词性：')
words = T.postag(input_message) #词性标注 格式 词/词性
for w in words:
print w.word, w.flag
if w.flag == 'school':
try:
#先用自定义的分词处理得到对应的词性，然后根据词性到数据库查询
db = pymysql.connect(host=dbip,
user=dbusername,
passwd=dbpassword,
db=dbname,
charset="utf8")
cursor = db.cursor()
sql = u"SELECT `学校名` FROM 学校简称 WHERE `简称`='" + w.word + "'"
# 执行SQL语句
cursor.execute(sql)
# 获取所有记录列表,已验证数据库查询跑通
results = cursor.fetchall()
#print results
#替换简称
if len(results) > 0:
input_message = input_message.replace(
w.word, results[0][0]).__str__()
w.flag = 'nt'
w.word = results[0][0]
print utf_to_bgk(input_message), utf_to_bgk(
w.word), utf_to_bgk(w.flag)
# 关闭数据库连接
db.close()
except Exception as e:
print(e)
# 识别学校简称并配对数据库中已存内容
if w.flag == 'x' or w.flag == 'nt':
try:
db = pymysql.connect(host=dbip,
user=dbusername,
passwd=dbpassword,
db=dbname,
charset="utf8")
cursor = db.cursor()
sql = u"SELECT `属性`,`内容` FROM school WHERE `学校`='" + w.word + "'"
# 执行SQL语句
cursor.execute(sql)
# 获取所有记录列表
results = cursor.fetchall()
#print u'flag转化之后的查询',results
if len(results) > 0:
for row in results:
ansdict[row[0]] = row[1]
#print row[0],row[1]
# reply +=row[0].encode("utf8")
# reply+=" ".encode("utf8")
# shuxing=raw_input('Frank：你想了解什么属性 ' + reply+">>")
# sql = u"SELECT `内容` FROM school WHERE `学校`='" + w.word + u"'AND `属性`='"+shuxing+"'"
# cursor.execute(sql)
# results = cursor.fetchall()
# if len(results)>0:
# print "Frank： "+results[0][0].encode("utf8")
# reply=results[0][0].encode("utf8")
# return reply
# 关闭数据库连接
#print u'查询之后的结果储存',ansdict 将数据库中的所有信息写入到ansdict中
db.close()
except Exception as e:
print(e)
#todo： 每个词去找查数据库可以优化一下 加一下词性判断
#获得学校的名称
if FindSchool(dbip, dbusername, dbpassword, dbname,
w.word) != "":
schoolname = FindSchool(dbip, dbusername, dbpassword,
dbname, w.word)
uni = input_message.strip().decode('utf-8')
print u'查看返回值', uni, utf_to_bgk(input_message.strip())
response = mybot.respond(
input_message.strip()) #如果未给传入参数转化为utf8则报错
print "======="
#print response
print "=======+"
if response == "":
reply = mybot.respond('找不到答案')
findAns = True
print 'Frank1：' + utf_to_bgk(reply)
# *********************************************************************************
# 百科搜索 aiml机器人没有没有
elif response[0] == '#':
# 匹配百科
# if response.__contains__("searchbaike"):
# print "searchbaike"
# print response
# res = response.split(':')
# # 实体
# entity = str(res[1]).replace(" ", "")
# # 属性
# attr = str(res[2]).replace(" ", "")
# print entity + '<---->' + attr
#
# ans = baike.query(entity, attr)
# # 如果命中答案
# if type(ans) == list:
# print 'Frank：' + QAT.ptranswer(ans, False)
# reply = QAT.ptranswer(ans, False)
# findAns = True
# elif ans.decode('utf-8').__contains__(u'::找不到'):
# # 百度摘要+Bing摘要
# print "通用搜索"
# ans = search_summary.kwquery(input_message)
#
# # 匹配不到模版，通用查询
# elif response.__contains__("NoMatchingTemplate"):
# print "NoMatchingTemplate"
#
#当复杂问题时，通过分类器模型进行分类再查询
if (schoolname != ""):
sock = socket(AF_INET, SOCK_STREAM)
sock.connect(('127.0.0.1', 50009))
sock.sendall(input_message.encode("utf-8"))
intention = sock.recv(1024)
sock.close()
print utf_to_bgk(intention), u'经过分类器处理后的结果'
#经过dl识别后分类问题，如果问题在数据库中，即把问题分类为数据库的一个属性，再调用属性值，可以增加数据库的属性分类和值
if unicode(intention) in ansdict:
reply = ansdict[unicode(intention)]
#print 'Frank：' + reply.encode("utf8")
#print 'Frank2：' + utf_to_bgk(reply)
#如果问题没有在数据库预存储
else:
TempDict = search_summary.kwquery(input_message, intention,
schoolname)
ansdict['schoolname'] = TempDict['schoolname']
ansdict['intention'] = TempDict['intention']
ansdict['index'] = TempDict['index']
ans = TempDict['answer']
if (findAns == False):
if len(ans) == 0:
ans = mybot.respond('找不到答案')
#print 'Frank3：' + utf_to_bgk(ans)
reply = ans
findAns = True
elif len(ans) > 1:
print u"不确定候选答案"
print 'Frank4: '
for a in ans:
print a.encode("utf8")
reply += a.encode("utf8") + '\n'
findAns = True
else:
#print 'Frank5：' + ans[0].encode("utf8")
reply = ans[0].encode("utf8")
findAns = True
# 匹配模版
else:
print 'Frank6：' + utf_to_bgk(response)
reply = response
findAns = True
ansdict['baidu'] = reply
json_s = json.dumps(ansdict)
return json_s
'----------------' '----------------' '----------------' '----------------' '----------------'
Eric：你好，我是Eric。╭(╯^╰)╮
'''
while True:
input_message = raw_input("Enter your message >> ")
if len(input_message) > 60:
print mybot.respond("句子长度过长")
continue
elif input_message.strip() == '':
print mybot.respond("无")
continue
print input_message
message = T.wordSegment(input_message)
# 去标点
print 'word Seg:' + message
print '词性：'
words = T.postag(input_message)
if message == 'q':
exit()
else:
response = mybot.respond(message)
print "======="
print response
print "======="
if response == "":
def ws():
user_socket = request.environ.get('wsgi.websocket') # type:WebSocket
while 1:
msg =user_socket.receive()
question = json.loads(msg)
q = question['data']['mine']['content']
msg =q
input_message = str(msg).encode('utf-8')
if len(input_message) > 60:
answer = mybot.respond("句子长度过长")
# continue
elif input_message.strip() == '':
answer = mybot.respond("无话可说")
# continue
# print input_message
message = T.wordSegment(input_message)
# 去标点
# print 'word Seg:'+ message
# print '词性：'
words = T.postag(input_message)
if message == 'q':
exit()
else:
response = mybot.respond(message) # 在AIML数据集里寻找答案
print "======="
if response[0] == '#':
print response + 'mark'
else:
answer = response
print "======="
if response == "":
ans = mybot.respond('找不到答案')
answer = ans
# 百科搜索
elif response[0] == '#' or len(response) < 1:
# 匹配百科
if response.__contains__("searchbaike"):
print "searchbaike"
print response
res = response.split(':')
# 实体
entity = str(res[1]).replace(" ", "")
# 属性
attr = str(res[2]).replace(" ", "")
print entity + '<---->' + attr
ans = baike.query(entity, attr)
# 如果命中答案
print type(ans)
if type(ans) == list:
answer = '回答：' + QAT.ptranswer(ans, False)
# continue
elif ans.decode('utf-8').__contains__(u'::找不到'):
# 百度摘要+Bing摘要
print "通用搜索"
answer = search_summary.kwquery(input_message)
# 匹配不到模版，通用查询
elif response.__contains__("NoMatchingTemplate"):
print "NoMatchingTemplate"
ans = search_summary.kwquery(input_message)
print type(ans)
if len(ans) == 0:
ans = mybot.respond('找不到答案')
answer = '回答：' + ans
elif len(ans) > 1:
print "不确定候选答案"
answer = ans[0]
print 'Eric: '
for a in ans:
print a.encode("utf-8")
else:
answer = '回答：' + ans[0].encode("utf-8")
# 匹配模版
else:
answer = '回答：' + response
s = '展开全部'
print type(answer).__name__
if (type(answer).__name__ == 'list' and len(answer)>0) or '唔... 怎么回答...'in answer or '天气' in msg:
answer = geta(msg)
answer = answer
print 'wocao'
else:
#print answer
if s in str(answer):
print answer
answer = str(answer).replace('\n', '').replace('展开全部', "").split('已赞过')[0]
print 'OS' +answer
print user_socket,msg
res =answer
a = {
"username": "******",
"avatar": "https://robot.rszhang.top/images/icon/nv/0.jpg",
"id": "-2", # //消息的来源ID（如果是私聊，则是用户id，如果是群聊，则是群组id）
"type": "friend", # //聊天窗口来源类型，从发送消息传递的to里面获取
"content": res, # //消息内容
"cid": 0, # //消息id，可不传。除非你要对消息进行一些操作（如撤回）
"mine": True, # //是否我发送的消息，如果为true，则会显示在右方
"fromid": "100000", # /消息的发送者id（比如群组中的某个消息发送者），可用于自动解决浏览器多窗口时的一些问题
"timestamp": 1467475443306, # //服务端时间戳毫秒数。注意：如果你返回的是标准的 unix 时间戳，记得要 *1000
}
user_socket.send(json.dumps(a))
def QA(input_message, mybot):
findAns = False
reply = ''
ansdict = {}
dbname = 'zwgx' #数据库名
dbip = '106.14.124.221' #数据库IPlocalhost
dbport = 3306 #数据库端口
dbusername = '******' #数据库用户名
dbpassword = '******' #数据库密码root
schoolname = ''
intention = ''
if len(input_message) > 60:
reply = mybot.respond("句子长度过长")
findAns = True
elif input_message.strip() == '无':
reply = mybot.respond("无")
findAns = True
if (findAns == False):
# print input_message
message = T.wordSegment(input_message)
# 分词去标点
if message == 'q':
exit()
else:
print 'word Seg:' + message
print '词性：'
words = T.postag(input_message)
for w in words:
print w.word, w.flag
if w.flag == 'school':
try:
db = pymysql.connect(host=dbip,
user=dbusername,
passwd=dbpassword,
db=dbname,
charset="utf8")
cursor = db.cursor()
sql = u"SELECT `学校名` FROM 学校简称 WHERE `简称`='" + w.word + "'"
# 执行SQL语句
cursor.execute(sql)
# 获取所有记录列表
results = cursor.fetchall()
#替换简称
if len(results) > 0:
input_message = input_message.replace(
w.word, results[0][0]).__str__()
w.flag = 'nt'
w.word = results[0][0]
# 关闭数据库连接
db.close()
except Exception as e:
print(e)
# 识别学校简称并配对数据库中已存内容
if w.flag == 'x' or w.flag == 'nt':
try:
db = pymysql.connect(host=dbip,
user=dbusername,
passwd=dbpassword,
db=dbname,
charset="utf8")
cursor = db.cursor()
sql = u"SELECT `属性`,`内容` FROM school WHERE `学校`='" + w.word + "'"
# 执行SQL语句
cursor.execute(sql)
# 获取所有记录列表
results = cursor.fetchall()
if len(results) > 0:
for row in results:
ansdict[row[0]] = row[1]
#print row[0],row[1]
# reply +=row[0].encode("utf8")
# reply+=" ".encode("utf8")
# shuxing=raw_input('Frank：你想了解什么属性 ' + reply+">>")
# sql = u"SELECT `内容` FROM school WHERE `学校`='" + w.word + u"'AND `属性`='"+shuxing+"'"
# cursor.execute(sql)
# results = cursor.fetchall()
# if len(results)>0:
# print "Frank： "+results[0][0].encode("utf8")
# reply=results[0][0].encode("utf8")
# return reply
# 关闭数据库连接
db.close()
except Exception as e:
print(e)
#todo： 每个词去找查数据库可以优化一下 加一下词性判断
if FindSchool(dbip, dbusername, dbpassword, dbname,
w.word) != "":
schoolname = FindSchool(dbip, dbusername, dbpassword,
dbname, w.word)
response = mybot.respond(input_message.strip())
print "======="
print response
print "======="
if response == "":
reply = mybot.respond('找不到答案')
findAns = True
print 'Frank：' + reply
# *********************************************************************************
# 百科搜索
elif response[0] == '#':
# 匹配百科
# if response.__contains__("searchbaike"):
# print "searchbaike"
# print response
# res = response.split(':')
# # 实体
# entity = str(res[1]).replace(" ", "")
# # 属性
# attr = str(res[2]).replace(" ", "")
# print entity + '<---->' + attr
#
# ans = baike.query(entity, attr)
# # 如果命中答案
# if type(ans) == list:
# print 'Frank：' + QAT.ptranswer(ans, False)
# reply = QAT.ptranswer(ans, False)
# findAns = True
# elif ans.decode('utf-8').__contains__(u'::找不到'):
# # 百度摘要+Bing摘要
# print "通用搜索"
# ans = search_summary.kwquery(input_message)
#
# # 匹配不到模版，通用查询
# elif response.__contains__("NoMatchingTemplate"):
# print "NoMatchingTemplate"
if (schoolname != ""):
sock = socket(AF_INET, SOCK_STREAM)
sock.connect(('127.0.0.1', 50009))
sock.sendall(input_message.encode("utf-8"))
intention = sock.recv(1024)
sock.close()
print intention
if unicode(intention) in ansdict:
reply = ansdict[unicode(intention)]
print 'Frank：' + reply.encode("utf8")
else:
TempDict = search_summary.kwquery(input_message, intention,
schoolname)
ansdict['schoolname'] = TempDict['schoolname']
ansdict['intention'] = TempDict['intention']
ansdict['index'] = TempDict['index']
ans = TempDict['answer']
#*********************************************************************************
if (findAns == False):
if len(ans) == 0:
ans = mybot.respond('找不到答案')
print 'Frank：' + ans
reply = ans
findAns = True
elif len(ans) > 1:
print "不确定候选答案"
print 'Frank: '
for a in ans:
print a.encode("utf8")
reply += a.encode("utf8") + '\n'
findAns = True
else:
print 'Frank：' + ans[0].encode("utf8")
reply = ans[0].encode("utf8")
findAns = True
# 匹配模版
else:
print 'Frank：' + response
reply = response
findAns = True
ansdict['baidu'] = reply
json_s = json.dumps(ansdict)
return json_s
'----------------' '----------------' '----------------' '----------------' '----------------'
Eric：你好，我是Eric。╭(╯^╰)╮
'''
while True:
input_message = raw_input("Enter your message >> ")
if len(input_message) > 60:
print mybot.respond("句子长度过长")
continue
elif input_message.strip() == '':
print mybot.respond("无")
continue
print input_message
message = T.wordSegment(input_message)
# 去标点
print 'word Seg:'+ message
print '词性：'
words = T.postag(input_message)
if message == 'q':
exit()
else:
response = mybot.respond(message)
print "======="
print response
print "======="
def run(question):
# 初始化jb分词器
T.jieba_initialize()
# 切换到语料库所在工作目录
mybot_path = './'
os.chdir(mybot_path)
mybot = aiml.Kernel()
if os.path.isfile("bot_brain.brn"):
mybot.bootstrap(brainFile="bot_brain.brn")
else:
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/std-startup.xml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/tuling.xml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/bye.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/tools.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/bad.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/funny.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/OrdinaryQuestion.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/resources/Common conversation.aiml")
#mybot.bootstrap(learnFiles="std-startup.xml", commands="load aiml b")
mybot.saveBrain("bot_brain.brn")
# 载入百科属性列表
print '''
Eric：你好，我是问答机器人。╭(╯^╰)╮
'''
input_message = question
if len(input_message) > 60:
return mybot.respond("句子长度过长")
#continue
elif input_message.strip() == '':
return mybot.respond("无话可说")
#continue
# print input_message
message = T.wordSegment(input_message)
# 去标点
# print 'word Seg:'+ message
# print '词性：'
words = T.postag(input_message)
if message == 'q':
exit()
else:
response = mybot.respond(message) # 在AIML数据集里寻找答案
print "======="
if response[0] == '#':
print response + 'mark'
pass
else:
return response
print "======="
if response == "":
ans = mybot.respond('找不到答案')
print 'Eric：' + ans
# 百科搜索
elif response[0] == '#' or len(response) < 1:
# 匹配百科
if response.__contains__("searchbaike"):
print "searchbaike"
print response
res = response.split(':')
# 实体
entity = str(res[1]).replace(" ", "")
# 属性
attr = str(res[2]).replace(" ", "")
print entity + '<---->' + attr
ans = baike.query(entity, attr)
# 如果命中答案
if type(ans) == list:
return '回答：' + QAT.ptranswer(ans, False)
#continue
elif ans.decode('utf-8').__contains__(u'::找不到'):
# 百度摘要+Bing摘要
print "通用搜索"
ans = search_summary.kwquery(input_message)
# 匹配不到模版，通用查询
elif response.__contains__("NoMatchingTemplate"):
print "NoMatchingTemplate"
ans = search_summary.kwquery(input_message)
if len(ans) == 0:
ans = mybot.respond('找不到答案')
return '回答：' + ans
elif len(ans) > 1:
print "不确定候选答案"
return ans
print 'Eric: '
for a in ans:
print a.encode("utf-8")
else:
return '回答：' + ans[0].encode("utf-8")
# 匹配模版
else:
return '回答：' + response
def handle(self):
conn = self.request
conn.sendall('欢迎访问智能百科问答系统')
Flag =True
data = conn.recv(4096)
while Flag:
input_message = data
print "input_message====="
print input_message
print "=========="
reply = ''
if len(input_message) > 60:
print mybot.respond("句子长度过长")
reply = mybot.respond("句子长度过长")
conn.sendall(reply)
Flag =False
continue
elif input_message.strip() == '无':
print mybot.respond("无")
reply = mybot.respond("无")
conn.sendall(reply)
Flag = False
continue
print input_message
message = T.wordSegment(input_message)
# 去标点
print 'word Seg:' + message
print '词性：'
words = T.postag(input_message)
if message == 'q':
exit()
else:
response = mybot.respond(message)
print "======="
print response
print "======="
if response == "":
ans = mybot.respond('找不到答案')
print 'Eric：' + ans
reply = mybot.respond('找不到答案')
conn.sendall(reply)
Flag = False
# 百科搜索
elif response[0] == '#':
# 匹配百科
if response.__contains__("searchbaike"):
print "searchbaike"
print response
res = response.split(':')
# 实体
entity = str(res[1]).replace(" ", "")
# 属性
attr = str(res[2]).replace(" ", "")
print entity + '<---->' + attr
ans = baike.query(entity, attr)
# 如果命中答案
if type(ans) == list:
print 'Eric：' + QAT.ptranswer(ans, False)
reply = QAT.ptranswer(ans, False)
conn.sendall(reply)
Flag = False
continue
elif ans.decode('utf-8').__contains__(u'::找不到'):
# 百度摘要+Bing摘要
print "通用搜索"
ans = search_summary.kwquery(input_message)
# 匹配不到模版，通用查询
elif response.__contains__("NoMatchingTemplate"):
print "NoMatchingTemplate"
ans = search_summary.kwquery(input_message)
if len(ans) == 0:
ans = mybot.respond('找不到答案')
print 'Eric：' + ans
reply = ans
conn.sendall(reply)
Flag = False
elif len(ans) > 1:
print "不确定候选答案"
print 'Eric: '
for a in ans:
print a.encode("utf8")
reply += a.encode("utf8") + '\n'
conn.sendall(reply)
Flag = False
else:
print 'Eric：' + ans[0].encode("utf8")
reply = ans[0].encode("utf8")
conn.sendall(reply)
Flag = False
# 匹配模版
else:
print 'Eric：' + response
reply = response
conn.sendall(reply)
Flag = False
def qa(question):
#初始化jb分词器
T.jieba_initialize()
#切换到语料库所在工作目录
mybot_path = './'
# os.chdir(mybot_path)
mybot = aiml.Kernel()
mybot.learn(os.path.split(os.path.realpath(__file__))[0]+"/resources/std-startup.xml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/bye.aiml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/tools.aiml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/bad.aiml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/funny.aiml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/OrdinaryQuestion.aiml")
mybot.learn(os.path.split(os.path.realpath(__file__))[0] + "/resources/Common conversation.aiml")
# mybot.respond('Load Doc Snake')
#载入百科属性列表
print '''
.----------------. .-----------------. .----------------. .----------------. .----------------.
| .--------------. || .--------------. || .--------------. || .--------------. || .--------------. |
| | _______ | || | ____ _____ | || | __ | || | ___ ____ | || | _________ | |
| | / ___ | | || ||_ \|_ _| | || | / \ | || | |_ ||_ _| | || | |_ ___ | | |
| | | (__ \_| | || | | \ | | | || | / /\ \ | || | | |_/ / | || | | |_ \_| | |
| | '.___`-. | || | | |\ \| | | || | / /__\ \ | || | | __'. | || | | _| _ | |
| | |`\____) | | || | _| |_\ |_ | || | _/ / \ \_ | || | _| | \ \_ | || | _| |___/ | | |
| | |_______.' | || ||_____|\____| | || ||____| |____|| || | |____||____| | || | |_________| | |
| | | || | | || | | || | | || | | |
| '--------------' || '--------------' || '--------------' || '--------------' || '--------------' |
'----------------' '----------------' '----------------' '----------------' '----------------'
Eric：你好，我是Eric。╭(╯^╰)╮
'''
input_message = question
if len(input_message) > 60:
print mybot.respond("句子长度过长")
elif input_message.strip() == '':
print mybot.respond("无")
print input_message
message = T.wordSegment(input_message)
# 去标点
print 'word Seg:'+ message
print '词性：'
words = T.postag(input_message)
if message == 'q':
exit()
else:
response = mybot.respond(message)
print "======="
print response
print "======="
if response == "":
ans = mybot.respond('找不到答案')
print 'Eric：' + ans
# 百科搜索
elif response[0] == '#':
# 匹配百科
if response.__contains__("searchbaike"):
print "searchbaike"
print response
res = response.split(':')
#实体
entity = str(res[1]).replace(" ","")
#属性
attr = str(res[2]).replace(" ","")
print entity+'<---->'+attr
ans = baike.query(entity, attr)
# 如果命中答案
if type(ans) == list:
print 'Eric：' + QAT.ptranswer(ans,False)
elif ans.decode('utf-8').__contains__(u'::找不到'):
#百度摘要+Bing摘要
print "通用搜索"
ans = search_summary.kwquery(input_message)
# 匹配不到模版，通用查询
elif response.__contains__("NoMatchingTemplate"):
print "NoMatchingTemplate"
ans = search_summary.kwquery(input_message)
if len(ans) == 0:
ans = mybot.respond('找不到答案')
print 'Eric：' + ans
elif len(ans) >1:
print "不确定候选答案"
print 'Eric: '
for a in ans:
print a.encode("utf8")
else:
print 'Eric：' + ans[0].encode("utf8")
# 匹配模版
else:
print 'Eric：' + response
def answer(question):
if len(question) > 600:
print mybot.respond("句子长度过长")
raise Exception("Too Long")
elif question.strip() == '':
print mybot.respond("无")
raise Exception("No Input")
print question
message = T.wordSegment(question)
# 去标点
print 'word Seg:'+ message
print '词性：'
words = T.postag(question)
if message == 'q':
exit()
else:
response = mybot.respond(message)
print response
if response == "":
raise Exception("No Answer")
# 百科搜索
elif response[0] == '#':
# 匹配百科
if response.__contains__("searchbaike"):
print "searchbaike"
print response
res = response.split(':')
#实体
entity = str(res[1]).replace(" ","")
#属性
attr = str(res[2]).replace(" ","")
print entity+'<---->'+attr
ans = baike.query(entity, attr)
# 如果命中答案
if type(ans) == list:
print 'Eric：' + QAT.ptranswer(ans,False)
return [QAT.ptranswer(ans,False)]
elif ans.decode('utf-8').__contains__(u'::找不到'):
#百度摘要+Bing摘要
print "通用搜索"
ans = search_summary.kwquery(question)
# 匹配不到模版，通用查询
elif response.__contains__("NoMatchingTemplate"):
print "NoMatchingTemplate"
ans = search_summary.kwquery(question)
if len(ans) == 0:
raise Exception("No Answer")
elif len(ans) >1:
print "不确定候选答案"
print 'Eric: '
for a in ans:
print a.encode("utf8")
return [a.encode("utf8") for a in ans]
else:
print 'Eric：' + ans[0].encode("utf8")
return [ans[0].encode("utf8")]
# 匹配模版
else:
print 'Eric：' + response
return [response]