With the widespread use of Web applications, security and data protection have become an important issue in Web application development. To ensure the security of web applications, user authentication and authorization are required. As a popular web development framework, Flask provides many mechanisms for implementing user authentication and authorization.
- User Authentication
User authentication refers to using a certain authentication method to determine whether the user's identity is legitimate when the user accesses the Web application. Flask provides many built-in methods to implement user authentication.
1.1. HTTP Basic Authentication
HTTP Basic Authentication is an authentication mechanism based on the HTTP protocol, which requires users to provide user names and passwords for verification when requesting resources. Flask has built-in HTTP basic authentication function, which can be easily implemented through the Flask-BasicAuth extension.
To use the Flask-BasicAuth extension, you need to install and create a BasicAuth object in your Flask application, and then decorate it on the routing function that requires basic authentication. The sample code is as follows:
from flask import Flask from flask_basicauth import BasicAuth app = Flask(__name__) app.config['BASIC_AUTH_USERNAME'] = 'username' app.config['BASIC_AUTH_PASSWORD'] = 'password' basic_auth = BasicAuth(app) @app.route('/') @basic_auth.required def index(): return 'Hello, World!'
In the above code, the two configuration items of BasicAuth are used to set the user name and password. The @basic_auth.required decorator on the routing function implements the basic authentication function.
1.2. Form Authentication
Form authentication is one of the most common authentication methods in web applications. Implementing form authentication in Flask generally requires the use of the Flask-Login extension.
The Flask-Login extension provides a UserMixin class that can be used to represent the user data model. The sample code is as follows:
from flask_login import UserMixin class User(UserMixin): def __init__(self, id, username, password): self.id = id self.username = username self.password = password def get_id(self): return str(self.id)
In the sample code, the User class inherits from the flask_login.UserMixin class, which contains commonly used user authentication methods. In the Flask-Login extension, you also need to provide a user loading function for loading user data. The sample code is as follows:
from flask_login import login_user, LoginManager from flask import Flask, render_template, redirect, url_for from werkzeug.security import generate_password_hash, check_password_hash app = Flask(__name__) app.secret_key = 'your secret key' login_manager = LoginManager(app) # 用户数据 users = { 1: {'username': 'user1', 'password': 'password1'}, 2: {'username': 'user2', 'password': 'password2'}, 3: {'username': 'user3', 'password': 'password3'}, } # 实现用户加载函数 @login_manager.user_loader def load_user(user_id): user = users.get(int(user_id)) if user: return User(user_id, user['username'], user['password']) return None # 实现登录视图 @app.route('/login', methods=['GET', 'POST']) def login(): if request.method == 'POST': username = request.form['username'] password = request.form['password'] for user_id, user_data in users.items(): if user_data['username'] == username and check_password_hash(user_data['password'], password): user = User(user_id, username, password) login_user(user) return redirect(url_for('index')) return 'Invalid username/password combination' return render_template('login.html') # 实现需要登录才能访问的视图 @app.route('/') @login_required def index(): return 'Hello, World!'
In the sample code, using the Flask-Login extension requires initializing the Flask application and setting secret_key, and then implementing the user loading function through the login_manager.user_loader decorator. Finally, login control can be achieved by using the @login_required decorator on view functions that require login to access.
- User authorization
User authorization refers to determining which users can access which resources. Implementing user authorization in Flask requires the use of the Flask-Principal extension.
The Flask-Principal extension provides three classes: Permission, Role, and Identity, which can be used to define user permissions to access resources. Permission represents the permission to request access to a resource, Role represents the user identity or group, and Identity represents the identity information of a user.
The sample code is as follows:
from flask_principal import Principal, Identity, AnonymousIdentity, Permission, RoleNeed app = Flask(__name__) principal = Principal(app) # 定义角色,这里假设有管理员和普通用户两种角色 admin_role = RoleNeed('admin') user_role = RoleNeed('user') # 定义权限 admin_permission = Permission(admin_role) user_permission = Permission(user_role) # 定义 Identity,需要通过 Identity 的认证才能访问需要权限管理的路由 @app.before_request def before_request(): identity = Identity(anonymous=True) if current_user.is_authenticated: identity = Identity(current_user.id) if current_user.is_admin: identity.provides.add(admin_role) else: identity.provides.add(user_role) principal.identity = identity # 在需要受权限控制的路由上使用 requires(permission) 装饰器 @app.route('/admin') @admin_permission.require(http_exception=403) def admin_index(): return 'Hello, Admin!' @app.route('/user') @user_permission.require(http_exception=403) def user_index(): return 'Hello, User!'
In the sample code, two Roles are defined, namely admin_role and user_role. Each Role can define a Permission, which is used to control the permissions required for related operation access. In the before_request function, Identity authentication is implemented, and different Roles are added according to specific circumstances. Permission control can be achieved by using the requires(permission) decorator on routes that require permission management.
Flask provides many methods for implementing user authentication and authorization. Mastering these methods can help developers improve the security of web applications. At the same time, developers also need to carefully consider which method to use to implement user authentication and authorization to ensure application security and user data protection.
The above is the detailed content of User authentication and authorization in Flask. For more information, please follow other related articles on the PHP Chinese website!

Pythonarrayssupportvariousoperations:1)Slicingextractssubsets,2)Appending/Extendingaddselements,3)Insertingplaceselementsatspecificpositions,4)Removingdeleteselements,5)Sorting/Reversingchangesorder,and6)Listcomprehensionscreatenewlistsbasedonexistin

NumPyarraysareessentialforapplicationsrequiringefficientnumericalcomputationsanddatamanipulation.Theyarecrucialindatascience,machinelearning,physics,engineering,andfinanceduetotheirabilitytohandlelarge-scaledataefficiently.Forexample,infinancialanaly

Useanarray.arrayoveralistinPythonwhendealingwithhomogeneousdata,performance-criticalcode,orinterfacingwithCcode.1)HomogeneousData:Arrayssavememorywithtypedelements.2)Performance-CriticalCode:Arraysofferbetterperformancefornumericaloperations.3)Interf

No,notalllistoperationsaresupportedbyarrays,andviceversa.1)Arraysdonotsupportdynamicoperationslikeappendorinsertwithoutresizing,whichimpactsperformance.2)Listsdonotguaranteeconstanttimecomplexityfordirectaccesslikearraysdo.

ToaccesselementsinaPythonlist,useindexing,negativeindexing,slicing,oriteration.1)Indexingstartsat0.2)Negativeindexingaccessesfromtheend.3)Slicingextractsportions.4)Iterationusesforloopsorenumerate.AlwayschecklistlengthtoavoidIndexError.

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making


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

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

Dreamweaver Mac version
Visual web development tools
