• 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:
    ',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

    如果有来生,一个人去远行,看不同的风景,感受生命的活力。。。
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  • 原文地址:https://www.cnblogs.com/Frank99/p/10806078.html
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