python写api接口测试之tonador

亚马逊的lambda跟api_dateway搭配编写接口测试，看了文档发现时间29秒必须出结果，否则超时，像我们爬虫数据比较多的，多爬点数据就容易超时，那应该怎么办呢。

于是我挑了一个轻量级的进行简单学习--tonador

这边我写一个接口用来提取介词短语进行接口测试。--正好最近要进行提取介词短语的测试，就以这个例子为主，编码。

首先安装tornado

pip install tonador

接下来看代码的实例

# -*- coding:utf-8 -*-
import sys
import json
import pymysql

sys.path.append(‘../‘)

import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
import nltk,sys
import json
from extractor import phrases_extractor

from tornado.options import define, options

define("port", default=8000, help="run on the given port", type=int)

#定义处理类型
class IndexHandler(tornado.web.RequestHandler):
    #添加一个处理get请求方式的方法
    def get(self,input):
        #向响应中，添加数据        #提取传入参数的转换
        data_list = str(input).split("=_=")
        #data_list=["i go to work by bus", "hello world", "go to school","by car","go to school byebye good morning","the apple in the box"]
        returnItem = {}
        returnItem["getPhrase"] = getScopeOfApplication(data_list)
        returnItem["getPhraseWithoutPre"] = getProductCharacteristics(data_list)
        self.write(json.dumps(returnItem))

def getScopeOfApplication(data_list):
    if len(data_list)==0:
        return []
    text = data_list[1]
    for i in data_list[2:]:
        text += ‘,‘ + i
    grammar = r"""
        NP:
        {<DT>?<JJ|CC>*<NN>+}
        {<NNP>+}            

        PP: {<IN><NP>}
        """

    label = ‘PP‘

    phrase_list = phrases_extractor.get_phrases(text, grammar, label)
    result_list = []
    for phrase in phrase_list:
        if phrase not in result_list and len(phrase.split(‘ ‘)) > 2:
            result_list.append(phrase)

    if len(result_list) < 1:
        result_list = getProductCharacteristics(data_list)

    return result_list

def getProductCharacteristics(data_list):
    if len(data_list)==0:
        return []
    cur_title = data_list[0]
    other_titles = data_list[1]
    for i in data_list[2:]:
        other_titles += ‘,‘ + i

    grammar = r"""
            NP:
            {<DT>?<JJ|CC>*<NN>+}
            """

    label = ‘NP‘

    phrase_list = phrases_extractor.get_phrases(cur_title, grammar, label)
    cur_list = list(set(phrase_list))

    other_phrase_list = phrases_extractor.get_phrases(other_titles, grammar, label)
    result_list = []
    for phrase in cur_list:
        if phrase in other_phrase_list:
            result_list.append(phrase)

    return result_list

#定义接口的参数获取
app = tornado.web.Application(handlers=[(r"/getwords/(.*?)$", IndexHandler)])

#主函数执行
if __name__ == "__main__":
    tornado.options.parse_command_line()
    http_server = tornado.httpserver.HTTPServer(app, max_buffer_size=504857600, max_body_size=504857600)
    # http_server.listen(options.port)
    http_server.bind(options.port)
    #开启五个线程
    http_server.start(5)
    tornado.ioloop.IOLoop.instance().start()

然后python 程序.py 将服务开启，挂到服务器上进行执行

然后我们在浏览器中 输入   http://你的ip地址:8000/getwords/需要拆分单词的句子=_=the apple in the box   例如 http://你的ip地址:8000/getwords/i go to work by bus=_=the apple in the box

然后我们可以看到

很简单的写好一个接口，完美！

原文地址：https://www.cnblogs.com/zhe-hello/p/10975306.html