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Table of Contents
Installation preparation
pipenv
Start practicing
Entry file
Routing
Optimize the router
SQLAlchemy
Definition of database class
Entry file loading DB
Methods defined in the module
Use in routing
SQLAlchemy implements mysql encoding and column type
Default value and index setting
Compatible with Mysql column type
自定義數(shù)據(jù)庫(kù)名和字符集編碼
Home Backend Development Python Tutorial How to write Python applications using Flask Blueprint and SQLAlchemy

How to write Python applications using Flask Blueprint and SQLAlchemy

May 06, 2023 pm 07:28 PM
python sqlalchemy

    Installation preparation

    python3 -V && pip3 -V
    pip3 install pipenv

    pipenv

    pipenv shell

    The environment configuration of PyCharm will not be explained too much here. Here is the follow-up Code is explained.

    Start practicing

    The principle of Flask is to bind the blueprint and the App to implement the Web routing function when the App is initialized. The implementation of routing is the first step in all projects.

    Entry file

    Before starting the project, define an entry file to allow requests to instantiate the App. What the entry file needs to do is initialize the configuration file, introduce the controller, initialize the database and other operations.

    def create_app():
        app = Flask(__name__)
        # 導(dǎo)入config中的配置文件
        app.config.from_object('app.config.setting')
        app.config.from_object('app.config.secure')
        return app

    Call it in the startup file. The judgment needs to be added to the startup file. The reason will be explained later.

    from app.app import create_app
    app = create_app()
    if __name__ == '__main__':
        app.run(debug =True,port=81,host= '0.0.0.0')

    Routing

    Flask is a routing function implemented using blueprints. A method of registering blueprints is added to the entry file to implement introduction and registration.

    from flask import Blueprint
    login = Blueprint('login', __name__)
    @login.route('/login')
    def loginIndex():
        return "login Hello"

    Introduce the blueprint module when the app instance is initialized

    from flask import Flask
    def create_app():
        app = Flask(__name__)
        # 導(dǎo)入config中的配置文件
        app.config.from_object('app.config.setting')
        app.config.from_object('app.config.secure')
        # 注冊(cè)并導(dǎo)入藍(lán)圖
        register_blue(app)
        return app
    def register_blue(app):
        from app.api.login import login
        app.register_blueprint(login)

    Optimize the router

    You can add a loader to each router, and load Flask in sequence during initialization The blueprint has achieved the purpose of optimizing the router.

    class BaseRoutes:
        def __init__(self, name):
            self.name = name
            self.loader = []
        def route(self, rule, **options):
            def decorator(f):
                self.loader.append((f, rule, options))
                return f
            return decorator
        def register(self, bp, url_prefix=''):
            # 依次注冊(cè)藍(lán)圖
            for f, rule, options in self.loader:
                endpoint = options.pop("endpoint", f.__name__)
                bp.add_url_rule(url_prefix + rule, endpoint, f, **options)

    The optimized loader code used in the api file is as follows:

    from app.libs.BaseRoutes import BaseRoutes
    api = BaseRoutes('login')
    @api.route('/login/loginHandle', methods=['GET', 'POST'])
    def loginHandle():
        return "login Hello"

    SQLAlchemy

    After the routing of the web is completed, we begin to further add, delete, modify and check the database For practice and exploration, flask uses SQLAlchemy to operate the database. Here we take the Mysql database as an example.

    Using SQLAlchemy requires installing two components of the database driver package. Installing the two components of Flask-SQLAlchemy and PyMySQL will make our development simpler and more convenient.

    Definition of database class

    For all Flask applications and plug-ins, they need to be registered in the App and use objects to operate. First define the base class for database operations and let other Modules are registered in Base.

    Write public methods in all DBs into Base to reduce the process of reinventing the wheel.

    instantiate SQLAlchemy in Base

    from flask_sqlalchemy import SQLAlchemy
    db = SQLAlchemy()
    class Base(db.Model):
        # 忽略基類(lèi)的主鍵
        __abstract__ = True

    Ordinary data classes inherit the Base class, take the User class as an example, introduce the db package before use

    from app.models.base import Base
    class User(Base):
        __tablename__ = 'user'
        id = Column(Integer, primary_key=True, autoincrement=True)
        name = Column(String(50), nullable=False, default="")
        email = Column(String(120), nullable=False, default="")
        _password = Column('password',String(64))
        @property
        def password(self):
            return self._password
        @password.setter
        def password(self, raw):
            self._password = generate_password_hash(raw)

    Entry file loading DB

    When loading data, you need to load the database initialization configuration, which is specified using SQLALCHEMY_DATABASE_URI and has a specified format.

    SQLALCHEMY_DATABASE_URI = 'mysql+pymysql://root:123456@127.0.0.1:3306/admin?charset=utf8'

    SQLALCHEMY_DATABASE_URI =Database driver name://username:password@ip address:port number/database name

    def create_app():
        app = Flask(__name__)
        app.config.from_object('app.config.secure')
        # 初始化數(shù)據(jù)庫(kù)
        db.init_app(app)
        with app.app_context():
            db.create_all()
        return app

    Describe and explain the role of the with keyword , in Python, the stack data structure is mainly used to run App instances. The with keyword can distinguish context very well. When resources are disconnected, they will be automatically released and recycled, which can optimize the program.

    Mysql driver can use cymysql or pymysql. There are more tutorials on using pymysql on the Internet. When using the driver, if you are undecided, go to github and use a plug-in with a large number of stat, and choose the popular one. , so there will be more solutions.

    Methods defined in the module

    Model can define models, constants, atomic methods that directly operate the database, and you can also use the form of db.session to read data.

    from sqlalchemy import Column, Integer, String, SmallInteger
    from app.models.base import Base, db
    class tp_manager(Base):
        STATUS_NORMAL = 1
        STATUS_STOP = 0
        # ...
        @classmethod
        def get_manager_by_name(cls, username):
            r = cls.query.filter(cls.username == username, cls.status == cls.STATUS_NORMAL).one()
            return r
        @classmethod
        def get_db(cls):
            r = db.session.query(cls).filter(cls.status == cls.STATUS_NORMAL).all()
            return r

    Use in routing

    When used in routing, you need to introduce the corresponding model package in models. The following is a simple demo. User permissions can use the falsk-login component. to store user information.

    from flask import request, session, jsonify
    from app.libs.BaseRoutes import BaseRoutes
    from app.validators.form.login import LoginForm
    from app.models.admin.tp_manager import tp_manager
    api = BaseRoutes('login')
    @api.route('/login/loginHandle', methods=['POST'])
    def loginHandle():
        form = LoginForm(request.form)
        if form.validate():
            # 驗(yàn)證通過(guò)的邏輯
            r = tp_manager.get_manager_by_name(form.username.data)
            if r:
                msg = '操作成功'
                session['manager_id'] = r.id
            else:
                msg = '賬號(hào)和密碼錯(cuò)誤'
            return jsonify({"code": 200, "data": [], "msg": msg})
        else:
            # 錯(cuò)誤暫時(shí)忽略...
            return form.errors

    By the way, before flask uses session, it needs to configure SECRET_KEY in the configuration file, otherwise an error will be reported, and the key value can be customized.

    SECRET_KEY = '需要加密的key值'

    SQLAlchemy implements mysql encoding and column type

    After SQLAlchemy implemented basic operations on Mysql, I found that the default value set did not take effect, and the character set encoding was also set to the default latin1, optimizing the column type of Mysql, implementing Mysql connection pool, and accessing NoSql databases such as mongo and redis have become issues to be studied in the next step.

    Default value and index setting

    The explanation in the python source code package is very clear and comes with examples. In Column it is set like this:

    Column(Integer, index=True, nullable=False,  server_default="0",comment="昵稱(chēng)")

    server_default Orm sets the value of initializing Mysql, unique specifies whether it is the only index, default is the default value when SQLAlchemy performs CURD operations, server_defaul and The value of default must be of string type.

    index is to set the index, nullable is to set whether it is empty, and comment is to set the comment information.

    Compatible with Mysql column type

    But there is a question before us. If you want to use the tinyint type, how to set the character set?

    from sqlalchemy.dialects.mysql import VARCHAR, TEXT, BIGINT, INTEGER, SMALLINT, TINYINT, DECIMAL, FLOAT, \
        DOUBLE, DATETIME, TIMESTAMP, DECIMAL

    Take the most commonly used int and varchar as an example. Before using, you must import the corresponding package:

    from sqlalchemy import Column, Index, Integer
    from sqlalchemy.dialects.mysql import VARCHAR, TEXT, BIGINT, INTEGER, SMALLINT, TINYINT, DECIMAL, FLOAT, \
        DOUBLE, DATETIME, TIMESTAMP, DECIMAL
    from app.models.base import Base, db
    class wm_user_user(Base):
        STATUS_NORMAL = 1
        __tablename__ = 'wm_user_user'
        user_status = Column(TINYINT(display_width=1,unsigned=True), nullable=False, server_default="1",
                             comment="1為正常,0為審核中")
        user_nickname = Column(VARCHAR(length=50), index=True, nullable=False, comment="昵稱(chēng)")
        # 添加配置設(shè)置編碼
        __table_args__ = {
            'mysql_charset': 'utf8mb4',
            'mysql_collate': 'utf8mb4_general_ci'
        }

    There are three parameters in the TINYINT type:

    display_width sets the column Type width, after setting it will be displayed tinyint(1), the second unsigned is the value range of positive values, the third zerofill is filled, the value is a numeric type, the following is TINYINT Source code usage instructions.

    """Construct a TINYINT.
    :param display_width: Optional, maximum display width for this number.
    :param unsigned: a boolean, optional.
    :param zerofill: Optional. If true, values will be stored as strings
      left-padded with zeros. Note that this does not effect the values
      returned by the underlying database API, which continue to be
      numeric.
    """

    Let me briefly introduce the string type with varchar as the code. The string type must explicitly declare the string length, which is implemented by length. If the value of length is not added, an error will occur during initialization.

    自定義數(shù)據(jù)庫(kù)名和字符集編碼

    __tablename__設(shè)置的是自定義數(shù)據(jù)表名,底下的設(shè)置的是數(shù)據(jù)表字符集編碼,要使用utf8mb4編碼和utf8mb4_general_ci編碼,這里就不做過(guò)多的解釋了。

    __tablename__ = 'wm_user_user'
    # ...
    __table_args__ = {
        'mysql_charset': 'utf8mb4',
        'mysql_collate': 'utf8mb4_general_ci'
    }

    The above is the detailed content of How to write Python applications using Flask Blueprint and SQLAlchemy. For more information, please follow other related articles on the PHP Chinese website!

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