rule-base机器人1

1、最基础的fi—else问答

import random
# 打招呼
greetings = ['hola', 'hello', 'hi', 'Hi', 'hey!','hey']
# 回复打招呼，random.choice意思是随机选取内容
random_greeting = random.choice(greetings)

# 对于“你怎么样？”这个问题的回复
question = ['How are you?','How are you doing?']
# “我很好”
responses = ['Okay',"I'm fine"]
# 随机选一个回
random_response = random.choice(responses)

while True:
    # 输入用>>> 表示
    userInput = input(">>> ")
    if userInput in greetings:
        print(random_greeting)
    elif userInput in question:
        print(random_response)
    # 除非你说“拜拜”
    elif userInput == 'bye':
        break
    else:
        print("I did not understand what you said")

2、改进

from nltk import word_tokenize

import random

# 打招呼

greetings = ['hola', 'hello', 'hi', 'Hi', 'hey!','hey']

# 回复打招呼

random_greeting = random.choice(greetings)

# 对于“假期”的话题关键词

question = ['break','holiday','vacation','weekend']

# 回复假期话题

responses = ['It was nice! I went to Paris',"Sadly, I just stayed at home"]

# 随机选一个回

random_response = random.choice(responses)

# 机器人跑起来

while True:

userInput = input(">>> ")

# 清理一下输入，看看都有哪些词

#nltk.sent_tokenize(text) #按句子分割

#nltk.word_tokenize(sentence) 把输入分词

cleaned_input = word_tokenize(userInput)

# set（A）.isdisjoint（B）是意思看是否A和B有交集，返回true

if not set(cleaned_input).isdisjoint(greetings):

print(random_greeting)

elif not set(cleaned_input).isdisjoint(question):

print(random_response)

# 除非你说“拜拜”

elif userInput == 'bye':

break

else:

print("I did not understand what you said")

3、改进

我们可以用各种数据库，建立起一套体系，然后通过搜索的方式，来查找答案。

比如，最简单的就是Python自己的graph数据结构来搭建一个“地图”。

依据这个地图，我们可以清楚的找寻从一个地方到另一个地方的路径，

然后作为回答，反馈给用户。

# 建立一个基于目标行业的database
# 比如这里我们用python自带的graph
graph = {'上海': ['苏州', '常州'],
'苏州': ['常州', '镇江'],
'常州': ['镇江'],
'镇江': ['常州'],
'盐城': ['南通'],
'南通': ['常州']}

# 明确如何找到从A到B的路径
def find_path(start, end, path=[]):
path = path + [start]
if start == end:
return path
if start not in graph:
return None
for node in graph:
if node not in path:
newpath = find_path(node, end, path)
return newpath
print(find_path('上海', "镇江"))

    ['上海', '南通', '盐城', '镇江']

上面是通过输入的上海找到和镇江之间的关系的路径。

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