数据库的ORM
当我们学完ORM之后，就可以利用前面所学的知识搭建框架结构，

Flask-SQLAlchemy

pip install flask_sqlalchemy
pip install mysqlclient

​
http://flask-sqlalchemy.pocoo.org/2.3

from flask import Flask
from flask_sqlalchemy import SQLAlchemy

app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test.db'
db = SQLAlchemy(app)

class User(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    username = db.Column(db.String(80), unique=True, nullable=False)
    email = db.Column(db.String(120), unique=True, nullable=False)

    def __repr__(self):
        return '<User %r>' % self.username

Windows下Flask同數據庫打交道

1. 以管理员身份运行Pycharm

2.安装库

pip install flask_sqlalchemy
pip install mysqlclient

https://www.lfd.uci.edu/~gohlke/pythonlibs/#mysqlclient

输入代码测试：

from flask_sqlalchemy import SQLAlchemy
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql://root:123456@127.0.0.1/mysql'
db = SQLAlchemy(app)
@app.route('/api')
def index():

    from sqlalchemy import text
    sql = text("SELECT * FROM 'user'")
    result = db.engine.execute(sql)

    for row in result:
        app.logger.info(row)
    return  'Index Page'

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