def initQA(mybot):
# 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.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/QA/resources/std-startup.xml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/QA/resources/bye.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/QA/resources/tools.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/QA/resources/bad.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/QA/resources/funny.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/QA/resources/OrdinaryQuestion.aiml")
mybot.learn(
os.path.split(os.path.realpath(__file__))[0] +
"/QA/resources/Common conversation.aiml")
mybot.respond('Load Doc Snake')
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
#coding:utf8
import aiml
import os, sys
from QA.QACrawler import baike
from QA.Tools import Html_Tools as QAT
from QA.Tools import TextProcess as T
from QACrawler import search_summary
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/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(
#coding:utf8
import aiml
import os, sys
from QA.QACrawler import baike
from QA.Tools import Html_Tools as QAT
from QA.Tools import TextProcess as T
from QACrawler import search_summary
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")
# mybot.respond('Load Doc Snake')
#载入百科属性列表
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 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
