


PWA and Django #Online and offline resources in a PWA - Developing Progressive Web Applications with Django
NOTE: First published in: https://andresalvareziglesias.substack.com/p/pwa-and-django-3-online-and-offline
Welcome to the third entry on the Progressive Web Application with Django series. In this chapter, we'll learn how to cache resources for our PWA to be able to use them offline, without an active internet connection.
Implementing Offline Functionality
In the previous chapters we defined an small PWA application with every required part: the manifest and the ServiceWorker. We learned how to register the PWA and developed a very simple interface with some images:
Now we will learn how to store data in the PWA cache and how to choose from where to load every image: from the internet or from the local cache.
To store one or more resources on the PWA cache we use a function like this on the ServiceWorker:
const CACHE_NAME = "DJANGO_PWA_TEST" const MAIN_URL = "https://laboratorio.alvarezperello.com/djangopwa/"; self.addEventListener("install", (event) => { console.info("*** PWA event *** install", event); event.waitUntil(activateApp()); }); self.addEventListener("activate", (event) => { console.info("*** PWA event *** activate", event); event.waitUntil(activateApp()); }); async function activateApp() { // When a service worker is initially registered, pages won't use it // until they next load. The claim() method causes those pages to be // controlled immediately. console.log('Claiming control...'); clients.claim().then((ev) => { console.log('...claimed!', ev); }) manageCache(); } self.addEventListener("sync", (event) => { console.info("*** PWA event *** sync", event); manageCache(); }); async function manageCache() { const cache = await caches.open(CACHE_NAME); if (!cache) { console.error("Error storing resources in cache!"); return; } storeResourceInCache(cache, MAIN_URL+"static/demo/img/snake1.jpg"); //storeResourceInCache(cache, MAIN_URL+"static/demo/img/snake2.png"); //storeResourceInCache(cache, MAIN_URL+"static/demo/img/snake3.png"); } async function storeResourceInCache(cache, element) { console.log("Storing resource in cache: "+element); cache.add(element).then(event => { console.info("Resource stored successfully! "+element); }).catch(event => { console.error("Error storing resource! "+element, event); }); }
Now, when we execute our PWA, we can read the cache messages in the developer console:
Registering service worker... ...register completed! The service worker is active! serviceworker.js: Claiming control... serviceworker.js: Resource already in cache! static/demo/img/snake1.jpg
Our PWA cache is working!
Choosing from where to load each resource
When the PWA loads a resource, calls the fetch event, like this:
self.addEventListener("fetch", async (event) => { console.info("*** PWA event *** fetch", event); let url = event.request.url.toString(); console.info("The PWA is loading a resource from: "+url); });
We are in control of the request now, and can choose from where return the requested resource: from cache or from internet.
Here is an example of how to check if we have a resource cached and return it from cache. And, if not cached, request it from the Internet instead.
self.addEventListener("fetch", async (event) => { let url = event.request.url.toString(); if (!url.includes("static/demo/img/snake")) { return false; } const cache = await caches.open(CACHE_NAME); if (!cache) { console.error("Error loading resources from cache!"); return false; } let fetchResponsePromise = await cache.match(url).then(async (cachedResponse) => { if (cachedResponse && cachedResponse.ok) { console.warn("Loading from cache: "+url); return cachedResponse; } else { console.error("Error! the cache does not have this url! "+url); console.error(cache.keys()); remoteFetchResponsePromise = await fetch(event).then(async (networkResponse) => { console.warn("Loading from internet: "+url); return networkResponse; }); return remoteFetchResponsePromise; } }); return (await fetchResponsePromise); });
We can read the developer console to know from where every image has been loaded, like this:
In the next chapter
We now have a PWA. Now we will learn how to make an installable PWA, that will show as a native application in the operating system. That's one of the greatest functionalities of the PWAs: we can use them to create "almost native" applications using Django.
See you in the next chapter!
About the list
Among the Python and Docker posts, I will also write about other related topics, like:
- Software architecture
- Programming environments
- Linux operating system
- Etc.
If you found some interesting technology, programming language or whatever, please, let me know! I'm always open to learning something new!
About the author
I'm Andrés, a full-stack software developer based in Palma, on a personal journey to improve my coding skills. I'm also a self-published fantasy writer with four published novels to my name. Feel free to ask me anything!
The above is the detailed content of PWA and Django #Online and offline resources in a PWA - Developing Progressive Web Applications with Django. 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











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
