docker-django-example
full-stack-fastapi-template
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docker-django-example | full-stack-fastapi-template | |
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44 | 28 | |
1,097 | 22,914 | |
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7.8 | 9.4 | |
13 days ago | 6 days ago | |
Python | TypeScript | |
MIT License | MIT License |
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docker-django-example
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Django 5.0 Is Released
Congrats on the release to the Django community!
If anyone is curious, I updated my Django / Docker starter kit app to use Django 5.0 at: https://github.com/nickjj/docker-django-example
It pulls together gunicorn, Celery, Redis, Postgres, esbuild and Tailwind with Docker Compose. It's set up to run in both development and production.
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Working with Docker Containers Made Easy with the Dexec Bash Script
- https://github.com/nickjj/docker-django-example
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What's the correct way to install or version up packages when using Docker and Poetry?
For example I edit the regular non-lock file and then run ./run pip3:install from my host which handles the above. A repo with an example Django project in Docker can be found here https://github.com/nickjj/docker-django-example. There's a pip3-install script in the bin/ directory, you can replace that with Poetry commands instead.
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Docker advantages for a single developer?
Currently, I'm using a modified version of this Docker setup (https://github.com/nickjj/docker-django-example) to work locally and build/deploy a production image. However, using PyCharm as my IDE, the development process is incredibly slow, especially when adding or removing Python packages. It takes at least 3 minutes to rebuild the Docker image after adding a package, and PyCharm has to update its index. Additionally, PyCharm's inspector sometimes gets confused about which packages are already installed based on the requirements.txt.
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Django 4.2 released
If anyone is interested I updated my Django / Docker starter project for 4.2: https://github.com/nickjj/docker-django-example
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Django Local to Production - FTP or what ?
Lots of handy stuff in this Django and Docker example project https://github.com/nickjj/docker-django-example He does a good course about Docker too.
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psycopg2 in production
If you're using Docker with a Debian based image you only need to apt install libpq-dev and you're good to go, it only needs to exist in your Docker image not your VPS directly. I've been using it for years. Here's a working example if you want to poke around https://github.com/nickjj/docker-django-example.
- Looking to use Docker & Docker Compose in production and need advice.
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How to Dockerize any Django Application: A Step-by-Step Tutorial
On a positive note, I would recommend perhaps looking at https://github.com/nickjj/docker-django-example for a good, somewhat beginner guide for django + docker work.
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What is your development cycle when using docker and containers? What's the general flow between developing locally and running the containers to test.
I put together https://github.com/nickjj/docker-django-example which pulls together a typical Django set up using Gunicorn, Celery, Postgres, Redis, esbuild and Tailwind.
full-stack-fastapi-template
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Building a Secure API with FastAPI, PostgreSQL, and Hanko Authentication
This project is a modification of the authentication flow of the awesome repository made by tiangolo at full-stack-fastapi-postgresql
- Do you know any quality FastAPI starter projects?
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What is a sensible way to go about designing an authentication microservice?
FastAPI with a PostgreSQL database: https://github.com/tiangolo/full-stack-fastapi-postgresql/tree/master
- Faster way to kickstart and develop backend REST apis?
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Is a Framework like Django possible in Rust
Ha! I do write SQL since that's where I cut my teeth many years ago. But I mostly use stored procedures where possible. I prefer not to use ORMs - sorry I don't find that side work... I am not saying Django's was bad or inferior, just do not prefer it. For FastAPI - maybe you missed the various repos with everything you mentioned was missing (there are great ones directly from the maintainer as well as others). No more glue than what you find in all the modules in a large Django project, just maybe in different forms and flavors. Besides, we're here to talk about Rust, making me wonder why we're debating two Python projects. Yes, I fell in love with Django, the romance faded in 2018, and I moved on. Feel free to enjoy using it - I'm not trying to sway you away from it!
- Is there any open source project that uses FasAPI?
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How to build a scalable project file structure for a beginner.
I've just recently switched to a structure that follows Netflix's Dispatch application after starting with https://github.com/tiangolo/full-stack-fastapi-postgresql and it feels way better and organized.
- ORM for FastAPI+PostgreSQL, Tortoise or Sqlalchemy? what would you choose and why?
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Creating a webpage for data entry
Honestly your easiest option for data gathering would be to create google spreadsheets/forms and give each municipality access. For a custom data entry platform I suggest looking for templates like this one and learning how to add custom logic to the boilerplate: https://github.com/tiangolo/full-stack-fastapi-postgresql
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FastAPI Best Practices
I would encourage you to take a look at this repo: https://github.com/tiangolo/full-stack-fastapi-postgresql This is a boilerplate of an application made with fastapi, prepared by the creator of the fastapi himself. You can even set it up yourself locally and have a look how it’s organised. I know it has a lot of different services included, but I find the fastapi part itself to be well thought. Inside the api directory you can notice another folder named api_v1, so you can have multiple versions of your API routes when needed, with the general code in other places that is more generic and can be reused in all your different API versions. The schemas are separated from the models and models itself have different classes depending on what you would actually like to do with the data. The migrations are managed with alembic based on schemas rather than models itself. The settings are a python class that implicitly reads the .env file in your project’s directory. And many, many other interesting patterns to explore. Too much to write in one comment to be honest.
What are some alternatives?
Poetry - Python packaging and dependency management made easy
fastapi-starter - A FastAPI based low code starter/boilerplate: SQLAlchemy 2.0 (async), Postgres, React-Admin, pytest and cypress
Tailwind CSS - A utility-first CSS framework for rapid UI development.
fastapi-react - 🚀 Cookiecutter Template for FastAPI + React Projects. Using PostgreSQL, SQLAlchemy, and Docker
django-async-orm - Bringing Async Capabilities to django ORM
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
headwind - An opinionated Tailwind CSS class sorter built for Visual Studio Code
cookiecutter-djangopackage - A cookiecutter template for creating reusable Django packages quickly.
launchr - Launchr is an open source SaaS starter kit, based on Django.
fastapi-users - Ready-to-use and customizable users management for FastAPI
direnv - unclutter your .profile
docker-celery-flower - Minimum docker/fastapi/celery/flower setup