FastAPI + Redis: Basic Application of Caching and State Management
Web development often faces challenges of handling rapid request responses and sharing temporary state across multiple requests. The combination of FastAPI (a high-performance asynchronous framework) and Redis (an in-memory database) effectively addresses these issues. FastAPI supports high concurrency, while Redis, with its fast read/write speed and expiration time features, can cache frequently accessed, low-updating data (such as Fibonacci calculation results) to reduce redundant computations and store temporary states (such as user access counters) for cross-request sharing. This article introduces environment setup (installing FastAPI, Redis client, and starting Redis), basic connections (using utility functions to manage Redis clients with `decode_responses=True` to ensure string results), and demonstrates applications through two examples: caching (Fibonacci calculation results) and state management (user access counts). It also mentions dependency injection for code optimization and notes on Redis persistence, connection pooling, and key naming conventions in production environments.
Read MoreFlask User Authentication: Implementing Permission Control with Flask-Login
This article introduces how to implement user authentication and permission control for web applications using Flask-Login. The core steps include: first, installing necessary libraries such as Flask, Flask-Login, Flask-SQLAlchemy, and Werkzeug. Configure the application and user model, define a User class inheriting from UserMixin, storing username, password hash, and role fields (with password encrypted using Werkzeug). Set up the user loading function to load users from the database via @login_manager.user_loader. Implement login and logout functions: verify username and password during login, then use login_user to maintain the session; use logout_user for logout. Protect routes with the @login_required decorator, and further control permissions through the role field. Key considerations: passwords must be stored encrypted, SECRET_KEY should be securely configured, and ensure the user loading function works correctly. The implementation ultimately achieves user session maintenance, route permission control, and basic role validation, with extensibility for features like "Remember Me" and OAuth.
Read MoreDetailed Explanation of Flask Blueprints: Modularly Splitting Application Code
### Flask Blueprint Usage Guide **Why Use Blueprints?** As a Flask application scales (e.g., with numerous routes), concentrating code in a single file becomes hard to maintain. Blueprints address this by enabling modular splitting, allowing independent management of routes, views, and other components (e.g., user, order modules). This enhances code structure clarity and scalability. **Blueprint Essence** A blueprint is a "collection of operations" containing routes, templates, etc. However, it must be registered with the main application to take effect, enabling independent development and testing of functional modules. **Usage Steps** 1. **Create a Blueprint**: Specify a unique identifier, module path, and URL prefix (e.g., `url_prefix='/user'` to unify route prefixes); 2. **Define Routes**: Use `@blueprint_name.route()` to decorate view functions within the blueprint, similar to regular routes; 3. **Register with the Main Application**: Add the module to the main app via `app.register_blueprint(blueprint_name)`. **Additional Features** Blueprints support independent templates (`template_folder`) and static files. Reference static files using `url_for('blueprint_name.static', filename='path')`. **Advantages** - Modular code splitting to avoid chaos; - Facilitates team collaboration (truncated in original input). *Note: The last sentence in the original input was cut off, so the translation preserves the truncated content as-is.*
Read MoreFlask and Database Connection: SQLAlchemy Basic Operations
SQLAlchemy is a popular ORM tool for Python that allows database operations through Python classes/objects, avoiding direct SQL writing. It supports multiple databases (e.g., MySQL, SQLite) and is well-suited for Flask development. Installation requires `pip install flask flask-sqlalchemy`, with additional drivers needed for databases like MySQL. During initialization, configure the Flask application and database connection (e.g., SQLite path), then initialize the SQLAlchemy instance. Data models are defined via classes, where each class corresponds to a table and class attributes represent fields (e.g., the `User` class includes `id`, `username`, etc., with primary key, unique, and non-null constraints). Use `db.create_all()` to generate tables within the application context. Core operations (CRUD): Create (instantiate → `db.session.add()` → `commit()`); Read (`query.all()`/`filter_by()` etc.); Update (modify object attributes → `commit()`); Delete (`db.session.delete()` → `commit()`). Workflow: Configure connection → Define models → Create tables → CRUD operations. The advantage is no need to write SQL, facilitating rapid development.
Read MoreFrom Scratch: Flask Form Handling and WTForms Validation
This article introduces the core knowledge of handling forms in Flask using the Flask-WTF extension. Flask-WTF is built on WTForms and provides form creation, validation, and CSRF protection. For environment preparation, install `flask` and `flask-wtf`. The core is defining form classes that inherit from `FlaskForm`, using field types like `StringField` and `PasswordField`, and pairing them with validators such as `DataRequired` and `Email` to define rules (e.g., non-empty, format, length). In view functions, instantiate the form and use `form.validate_on_submit()` to handle POST requests and validate data integrity. Templates should use `form.hidden_tag()` to generate CSRF tokens and loop through `form.xxx.errors` to display error messages. After successful validation, retrieve data from `form.xxx.data` and combine it with database storage (e.g., SQLAlchemy). Key process: Define form class → View processing → Template rendering → Data validation and processing. Use WTForms validators to implement checks for non-empty, format, etc., combined with CSRF protection for security, enabling rapid construction of reliable form systems.
Read MoreFlask Template Engine Jinja2: From Basic Syntax to Page Rendering
Jinja2 is the default templating engine for Flask, used for dynamically rendering HTML by combining data with static pages. Core features include variables, conditional statements, loops, template inheritance and inclusion, as well as filters for variable processing. In terms of syntax, variables are embedded using `{{ }}`, conditions with `{% if %}`, and loops with `{% for %}` (supporting the loop state variable and empty list handling); templates inherit from parent templates via `extend` (defining blocks) and reuse fragments with `include`; filters use `|` (e.g., `truncate` to truncate text). In Flask, templates are stored in the `templates` folder and rendered by passing data through the `render_template` function. Mastering these core syntaxes can enhance web development efficiency, and it is recommended to consolidate through practice with template inheritance and data processing.
Read MoreData Storage Fundamentals: How Python Web Saves User Information with SQLite
This article introduces the basic method of implementing web data storage using SQLite and Flask. SQLite is lightweight and easy to use, built into Python, and requires no additional server, making it suitable for beginners. First, the Flask environment needs to be installed. The core steps include creating a user table (with auto-incrementing id, unique username, password, and email fields), implementing registration (parameterized data insertion) and user list display (querying and returning dictionary results) through Python operations. During operations, attention should be paid to password encryption (to prevent plaintext storage), SQL injection prevention, and proper connection closure. The article demonstrates the data persistence process with sample code, emphasizing that SQLite is suitable for small projects and serves as an entry-level tool for learning data storage, with potential for future expansion of functions such as login authentication and ORM.
Read MorePython Web Static Resource Management: Correctly Including CSS and JS Files in Flask
This article introduces methods to incorporate static resources like CSS and JS in Flask. Static resources, including CSS (styling), JS (interactivity), and images, should be placed in the `static` folder at the project root directory (automatically mapped to the `/static/` path by Flask). Template files are stored in the `templates` folder. The project structure should include `static` and `templates`. Static resources can be organized into subfolders by type (e.g., `css/`, `js/`). Within templates, use `url_for('static', filename='path')` to reference resources, for example: ```html <link rel="stylesheet" href="{{ url_for('static', filename='css/style.css') }}"> <script src="{{ url_for('static', filename='js/script.js') }}"></script> ``` Common issues: Path errors (such as incorrect filenames or missing subfolders) may result in 404 errors. Ensure the `static` folder exists and filenames are correct. Key points: Place static resources in `static`, use `url_for` for incorporation, and maintain a standardized structure to avoid issues.
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