python 框架

支持异步的 python web 框架

tornado

轻量级 flask 框架

flask中文文档

import base64
import random
import io
import time
from flask import Flask, request
from flask_restful import reqparse, abort, Api, Resource
import json
app = Flask(__name__)
api = Api(app)

users = {
    "magigo":["123456"]
}

def gen_token(uid):
    token = base64.b64encode(bytes(\'\'.join([str(uid), str(random.random()), str(time.time()+7200)]), encoding=\'utf-8\'))
    users[uid].append(token)
    return token

def verify_token(token):
    _token = base64.b64decode(token)
    print(str(_token, encoding=\'utf-8\'))
    if not users.get(str(_token, encoding=\'utf-8\').split(\':\')[0])[-1] == token:
        return -1
    if float(_token.split(\':\')[-1]) >= time.time():
        return 1
    else:
        return 0


@app.route(\'/login\', methods=[\'POST\', \'GET\'])
def login():
    auth = request.headers[\'Authorization\'].split(\' \')[-1]
    print(\'Authorization:\n\',auth)
    uid, pw = str(base64.b64decode(auth), encoding=\'utf-8\').split(\':\')
    print(uid)
    if users.get(uid)[0] == pw:
        return gen_token(uid)
    else:
        return \'error\'

@app.route(\'/test\', methods=[\'POST\', \'GET\'])
def test():
    token = request.args.get(\'token\')
    if verify_token(token) == 1:
        return \'data\'
    else:
        return \'invalid state!\'

@app.route(\'/nlp/result/<queryString>\', methods=[\'POST\',\'GET\'])
def get_nlp_result(queryString):
    print(queryString)
    result = dict(a=\'a\',b=\'b\')
    return json.dumps(result,ensure_ascii=False,indent=4)

parser = reqparse.RequestParser()
parser.add_argument(\'queryString\',type=str)
class NLP_Result(Resource):

    def post(self):
        args = parser.parse_args()
        print(args)
        return dict(a=\'a\', b=\'b\')

    def get(self):
        self.post()

api.add_resource(NLP_Result,\'/nlp/queryResult\')

if __name__ == \'__main__\':
    app.run(debug=True,host=\'192.168.5.3\')


import requests

def query_nlp_result(queryString):
    response = requests.get(\'http://192.168.5.3:5000/nlp/result/{}\'.format(queryString))
    print(response.content.decode())

def login_req():
    response = requests.get(\'http://192.168.5.3:5000/login\', auth=(\'magigo\',\'123456\'))
    print(response.text)

def verify_test():
    token = \'bWFnaWdvMC41OTAyODkzODc4MDg4MTA4MTU2NjMyNjg0OC4zODU3NDI3\'
    response = requests.get(\'http://192.168.5.3:5000/test\',params={\'token\':token})
    print(response.text)
if __name__ == \'__main__\':
    # query_nlp_result(\'how are you!\')
    verify_test()
    login_req()

# 今日踩坑， flask 为何 端口占用不提示呀呀呀呀呀！！！ damn!!!
netstat -ano|findstr "5000"
taskkill /pid 5000

使用 pipenv 进行包管理

常用参数及命令一览
 1 pipenv --where               列出本地工程路径
 2 pipenv --venv                列出虚拟环境路径
 3 pipenv --py                  列出虚拟环境的Python可执行文件
 4 pipenv install               安装包（创建虚拟环境）
 5 pipenv install moduel --dev  在开发环境安装包
 6 pipenv graph                 查看包依赖
 7 pipenv lock                  生成lockfile
 8 pipenv install --dev         安装所有开发环境包
 9 pipenv uninstall --all       卸载所有包
10 pipenv --rm                  删除虚拟环境


1 . cd yourproj
 

Pipfile

####################
[[source]]
url = "https://mirrors.aliyun.com/pypi/simple"
verify_ssl = true
name = "aliyun"

[dev-packages]

[packages]

cymysql = "*"
Flask-Cors = "*"
Flask-HTTPAuth = "*"
Flask-SQLAlchemy = "*"
Flask-WTF = "*"
requests = "*"

[requires]
python_version = "3.6"

#################



[[source]]
url = "https://pypi.douban/simple"
verify_ssl = true
name = "douban"

[dev-packages]

[packages]
requests = {version="*", index="douban"}
maya = {version="*", index="aliyun"}
records = "*"


pipenv install

# 安装完成之后呢执行 pipenv graph 查看安装结果

pipenv graph

pipenv --venv   # 查看 虚拟环境名称，在 pycharm 里要使用到

成熟企业级 Django 框架