コード例 #1
0
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')
コード例 #2
0
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
コード例 #3
0
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
コード例 #4
0
ファイル: MainProgram.py プロジェクト: yanzhen74/QA-Snake
#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(
コード例 #5
0
ファイル: MainProgram.py プロジェクト: pettertang/QA-Snake
#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 '''
コード例 #6
0
ファイル: MainProgram.py プロジェクト: iiclear/flask_app
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
コード例 #7
0
ファイル: qa.py プロジェクト: pettertang/QA-Snake
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