


Introduction to the use of flask_migrate and flask_script in python (with code)
This article brings you an introduction to the use of flask_migrate and flask_script in Python (with code). It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.
flask_migrate
When using falsk_sqlalchemy, using 'db.create_all' to modify the database table fields later will not be automatically mapped to the database and must be deleted. Table,
Then re-run 'db.create_all' to remap. This does not meet our requirements, so flask-migrate is to solve
this problem. It can map the modified fields to the database after each modification of the model (class)
from flask_sqlalchemy import SQLAlchemy from flask import Flask import pymysql from sqlalchemy import desc from flask_bootstrap import Bootstrap app = Flask(__name__) app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://root:sheen@localhost/migrate_sql' app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True db = SQLAlchemy(app) app.config['SECRET_KEY'] = 'SHEEN' bootstrap = Bootstrap(app) class User(db.Model): id = db.Column(db.INTEGER,autoincrement=True,primary_key=True) # 用户名唯一且不能为空 name = db.Column(db.String(30),unique=True,nullable=False) # 测试:添加gender属性 gender = db.Column(db.BOOLEAN,default=True) todos = db.relationship('Todo',backref='user') class Todo(db.Model): id = db.Column(db.INTEGER, autoincrement=True, primary_key=True) # unique: 指定该列信息是唯一的; name = db.Column(db.String(50)) user_id = db.Column(db.INTEGER,db.ForeignKey('user.id')) if __name__ == '__main__': db.create_all()
When the database tables user and todo have been generated, and the tables contain data. At this time, we are required to add attributes (user gender) to the database table without affecting user usage. We use database migration to handle it, and add the code to generate attributes in the original database operation file model
# 测试:添加gender属性 gender = db.Column(db.BOOLEAN,default=True)
migrate main attributes
Create migration warehouse (migrations directory)
python manager.py db init
Read the content of the class and generate the version file, without actually adding or deleting it in the database;
python manager.py db migrate -m "添加性别"
Has been deleted in the database;
python manager.py db upgrade
Go to view the historical status of changes;
python manager.py db history
Return to the specified version status;
python manager.py db downgrade base
Manage database changes
Create a new manage.py file to manage database changes
from flask_script import Manager from flask_migrate import Migrate, MigrateCommand from models import app,db migrate = Migrate(app,db) manager = Manager(app) manager.add_command('db',MigrateCommand) if __name__ == '__main__': manager.run()
Steps:
1. 初始化(自动生成migrations目录) python manager.py db init 2. 生成最初的迁移 python manager.py db migrate -m '添加用户性别' 出现语句:Detected added column 'user.gender',表明对model有所改动 3.数据库升级 python manager.py db upgrade 生成数据库历史版本的py文件:Running upgrade -> 202a710ebeb6, '添加用户性别'
flask_script
Flask Script extension provides the function of inserting external scripts into Flask, which separates the script from the system
Overall framework
First, create a The Python template runs the command script, which can be named script.py
In this file, there must be a Manager instance. The Manager class tracks the calling and running status of all commands and processing procedures called on the command line.
Manager only has One parameter - Flask instance
from flask_script import Command,Manager from flask import Flask app = Flask(__name__) manager = Manager(app) if __name__ == '__main__': manager.run()
Create command
Secondly, create and add the command.
There are three ways to create commands, namely creating a Command subclass, using the @command modifier, and using the @option modifier
The first one--Creating a Command subclass
The subclass must define a run method
Create the Hello command and add the Hello command to the Manager instance
class Hello(Command): """欢迎信息""" def run(self): print('hello,sheen') manager.add_command('hello',Hello)
The second type - use the @command modifier of the Command instance
@manager.command def add_user(): """添加用户信息""" print('添加用户成功')
The third type - use Command The @option modifier of the instance
It is recommended to use @option;, multiple parameters can be passed in
@manager.option('-n','--name',help='删除用户') def del_user(name): """删除用户信息""" if name: print('删除用户%s成功' %(name)) else: print('用户名为空!')
Complete example
# script.py from flask_script import Command,Manager from flask import Flask app = Flask(__name__) manager = Manager(app) class Hello(Command): """欢迎信息""" def run(self): print('hello,sheen') manager.add_command('hello',Hello) @manager.command def add_user(): """添加用户信息""" print('添加用户成功') @manager.option('-n','--name',help='删除用户') def del_user(name): """删除用户信息""" if name: print('删除用户%s成功' %(name)) else: print('用户名为空!') if __name__ == '__main__': manager.run()
The above is the detailed content of Introduction to the use of flask_migrate and flask_script in python (with code). For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.
