pydantic-to-typescript
full-stack-fastapi-template
pydantic-to-typescript | full-stack-fastapi-template | |
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3 | 28 | |
239 | 23,069 | |
- | - | |
0.0 | 9.5 | |
4 months ago | 2 days ago | |
Python | TypeScript | |
MIT License | MIT License |
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pydantic-to-typescript
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Which not so well known Python packages do you like to use on a regular basis and why?
Bit niche, but I like using pydantic-to-typescript (https://github.com/phillipdupuis/pydantic-to-typescript) to automatically generate typescript definitions for my fastapi apps. Or any app which uses pydantic models.
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pydantic-to-typescript: a simple CLI tool for converting pydantic models into typescript interfaces
Complete documentation, examples, and the source code can all be viewed here: https://github.com/phillipdupuis/pydantic-to-typescript
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Python & Typescript
There are also some packages out there for converting the types directly into their typescript equivalents: https://github.com/phillipdupuis/pydantic-to-typescript/
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?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
fastapi-starter - A FastAPI based low code starter/boilerplate: SQLAlchemy 2.0 (async), Postgres, React-Admin, pytest and cypress
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
fastapi-react - 🚀 Cookiecutter Template for FastAPI + React Projects. Using PostgreSQL, SQLAlchemy, and Docker
opyrator - 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
dynamoquery - Python AWS DynamoDB ORM
cookiecutter-djangopackage - A cookiecutter template for creating reusable Django packages quickly.
enforce - Python 3.5+ runtime type checking for integration testing and data validation
fastapi-users - Ready-to-use and customizable users management for FastAPI
typing_inspect - Runtime inspection utilities for Python typing module
docker-celery-flower - Minimum docker/fastapi/celery/flower setup