#!/usr/bin/env python
#-*- coding: utf-8 -*-
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
# 配置多个数据库连接
SQLALCHEMY_BINDS = {
'users': 'sqlite:///users.db',
'appmeta': 'sqlite:///appmeta.db'
}
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///test.db' # 默认数据库引擎
app.config['SQLALCHEMY_BINDS'] = SQLALCHEMY_BINDS
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
class News(db.Model):
__tablename__ = 'news' # 未设置__bind_key__,则采用默认的数据库引擎
__bind_key__ = 'test2' # 已设置__bind_key__,则采用设置的数据库引擎
id = db.Column(db.Integer, primary_key=True)
news_title = db.Column(db.String(80), unique=True)
news_content = db.Column(db.String(120), unique=True)
def __init__(self, news_title, news_content):
self.news_title = news_title
self.news_content = news_content
def __repr__(self):
return '<news_title %r>' % self.news_title
class User(db.Model):
__tablename__ = 'user'
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(80), unique=True)
email = db.Column(db.String(120), unique=True)
def __init__(self, username, email):
self.username = username
self.email = email
def __repr__(self):
return '<User %r>' % self.username
class Article(db.Model):
__bind_key__ = 'test1'
__tablename__ = 'article'
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String(80), unique=True)
content = db.Column(db.String(120), unique=True)
def __init__(self, title, content):
self.title = title
self.content = content
def __repr__(self):
return '<Title %r>' % self.title
db.create_all() # 未指定bind,则使用默认的数据库引擎
db.create_all(bind='test1') # 指定bind,则使用指定的数据库引擎
db.create_all(bind='test2')
news = News('aa','aaaaaaa') # 自动关联到相对应的ORM模型,进而使用相关联的数据库引擎
db.session.add(news) # 插入一条数据
db.session.commit()
admin = User('admin', 'admin@example.com')
guest = User('guest', 'guest@example.com')
db.session.add_all([admin,guest]) # 插入多条数据
db.session.commit()
title = Article('title1', 'content1')
db.session.add(title)
db.session.commit()
"""
执行该文件,会自动生成三个数据库文件:test1.db,users.db,test2.db
每个数据库中插叙的有相对应的数据
"""
