Using Python for API interface testing

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1, about requests

Requests is a Python HTTP client library that is designed to be very simple and specifically written for simplified HTTP testing.

Website:
https://pypi.python.org/pypi/requests/
http://docs.python-requests.org/en/latest/user/quickstart/#make-a-request
GitHub Project Address
https://github.com/kennethreitz/requests/

2, development environment

It is very convenient to build a development environment under Mac.

sudo easy_install pipsudo pip install requests

Under test: Python command line

ImportRequests>>>R = Requests.get (' Https://api.github.com/user ', Auth= (' user ',' Pass '))>>>R.status_code $>>>r.headers[' Content-type ']' Application/json; Charset=utf8 '>>>R.encoding' Utf-8 '>>>R.textu ' {' type ': ' User ' ... '>>>R.json () {u ' private_gists ':419,u ' total_private_repos ': the, ...}

development tool, previously using sublime, found run error, do not recognize table character.

notany outer indentation level

Very crazy mistake, there is no code where there is a problem. Even began to doubt the life.
Python's space-coded code is really crazy. Begin to miss the language with curly braces, semicolons.

A complete solution, switch directly to the IDE tool. Using Sledgehammer, IDA develops.
: https://www.jetbrains.com/pycharm/download/
Download the community version directly, because it's written in a script and doesn't use a very complex framework.

Really good effect, direct format code, and Java as well, can run can debug. Right-click directly to run successfully.

3, Test interface

Nothing is too complicated, just use the requests framework.

#!/usr/bin/python# -*- coding: utf-8 -*-################# python简明教程 http://woodpecker.org.cn/abyteofpython_cn/chinese/ import requests#测试百度def baidu_func(url):    headers = {}    params = {}    req = requests.post(url, headers=headers, params=params)    print(req.text)if‘__main__‘:    "http://www.baidu.com"    baidu_func(url)

4, summary

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Testing is important, especially for external interfaces, and it takes time to carefully test and analyze the code carefully.
Safety is a very important thing, take time to ponder.
Python learning is also very easy to learn, one hours to learn the grammar.
A concise tutorial for Python:
http://woodpecker.org.cn/abyteofpython_cn/chinese/
At the same time penetration testing, a lot of security scanning tools are written in Python. The Pycharm CE version of the development tool is powerful enough to help you learn python quickly.
Wxpython is a great choice if you want to quickly develop a point-and-click interface.

Using Python for API interface testing