Flask and Frontend Frameworks: A Practical Guide to Combining Vue.js with Flask
### A Practical Summary of Combining Flask and Vue.js This article introduces the practical process of combining Flask (backend) with Vue.js (frontend) to achieve front-end and back-end separation development. The advantages of choosing both are clear division of labor (backend handles data, frontend is responsible for interaction), efficient collaboration, and flexible data interaction. For the development environment, Python/Flask (with the cross-domain tool flask-cors) and Node.js/Vue-cli (with the Axios data request tool) need to be installed. The project structure is divided into two independent directories: the back-end Flask and the front-end Vue. In the back-end setup, Flask provides API interfaces through `app.py` (e.g., `/api/users` to get user lists), running on port 5000 and returning JSON data. After creating the Vue project, the front-end uses Axios to request back-end data in `App.vue` and renders the user list with `v-for`. During testing, start the Flask back-end (`python app.py`) and the Vue front-end (`npm run serve`), then access `http://localhost:8080` to see the data obtained from the back-end. Common issues include cross-domain configuration, Axios path errors, and Vue rendering problems, which can be resolved through corresponding methods. Summary: This mode enables efficient collaboration between front and back ends. Future extensions could include user CRUD operations and...
Read MoreFlask and Frontend Interaction: AJAX Requests and JSON Responses
This article introduces the method of implementing front-end and back-end data interaction in Flask using AJAX and JSON. In a front-end and back-end separated architecture, the front-end is responsible for interface interaction, while the back-end handles business logic. AJAX enables asynchronous requests, and JSON serves as the data exchange format. The core process is: front-end initiates an asynchronous request → back-end processes and returns JSON → front-end parses and renders the data. Practical example: Create `app.py` in Flask, where the `/` route renders the front-end page, and the `/api/get_data` route returns simulated JSON data (including status, message, and a list). The front-end uses `fetch` to asynchronously request `/api/get_data`, and updates the page after obtaining the data. Key knowledge points include: using `jsonify` on the back-end to return JSON, using `async/await` on the front-end to simplify asynchronous code, supporting GET/POST requests and data transfer (e.g., `request.get_json()` to receive front-end data). The core steps are clear, and it can be extended to scenarios such as form submission and database interaction.
Read MoreIntroduction to Nginx Reverse Proxy: Easily Achieve Frontend-Backend Separation
In a web front-end and back-end separation architecture, Nginx reverse proxy can solve problems such as cross-origin issues, complex domain name management, and back-end exposure. The reverse proxy acts as an intermediary server, so users access the back-end real service by visiting Nginx, which is transparent to users. When front-end and back-end are separated, reverse proxy can unify domain names (users only need to remember one domain name), hide the back-end address (enhancing security), and distribute requests by path (e.g., `/` for the front-end and `/api` for the back-end). Nginx is simple to install (Ubuntu uses `apt install nginx`, CentOS uses `yum install nginx`). The core of configuration is the `location` block: the front-end static files use `root` and `index` to point to the front-end directory, while the back-end API uses `proxy_pass` to forward to the real address, with `proxy_set_header` to pass header information. In practice, place the front-end files in the Nginx directory. After the back-end service is started, use `location` to distinguish paths. Nginx intercepts requests and forwards them, allowing users to complete front-end and back-end interaction by accessing a single domain name. Reverse proxy also supports extended functions such as load balancing and caching, making it a key tool in front-end and back-end separation architectures.
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