python寫api接口測試之tornador

亞馬遜的lambda跟api_dateway搭配編寫接口測試，看了文檔發現時間29秒必須出結果，否則超時，像我們爬蟲數據比較多的，多爬點數據就容易超時，那應該怎么辦呢。

於是我挑了一個輕量級的進行簡單學習--tonador

這邊我寫一個接口用來提取介詞短語進行接口測試。--正好最近要進行提取介詞短語的測試，就以這個例子為主，編碼。

首先安裝tornado 

pip install tonador

接下來看代碼的實例

 

# -*- 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)


#定義處理類型
class IndexHandler(tornado.web.RequestHandler):
    #添加一個處理get請求方式的方法
    def get(self,input):
        #向響應中，添加數據
        #提取傳入參數的轉換
        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

#定義接口的參數獲取
app = tornado.web.Application(handlers=[(r"/getwords/(.*?)$", IndexHandler)])


#主函數執行
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)
    #開啟五個線程
    http_server.start(5)
    tornado.ioloop.IOLoop.instance().start()

 

然后python 程序.py 將服務開啟，掛到服務器上進行執行

然后我們在瀏覽器中 輸入   http://你的ip地址:8000/getwords/需要拆分單詞的句子=_=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

 

然后我們可以看到

 

 

很簡單的寫好一個接口，完美！