Hello @paurakhsharma , I tried using these steps to create another project but when I try inserting in the database, I get asyncpg.exceptions.DataError: invalid input for query argument $1: 213127865166 (value out of int32 range). What could be wrong? Kindly assist!
You can see this stack overflow for more https://stackoverflow.com/questions/63404139/asyncpg-exceptions-dataerror-invalid-input-for-query-argument-1-217027642536

Thanks a lot for your introduction with FastAPI.

Consider using wemake-python-styleguide for your next FastAPI project.

It is the strictest Python linter out there. It will help you to find possible errors in your code early, show you possible refactoring opportunities, and enforce consistency across the project's codebase.

Check it out:

pip install wemake-python-styleguide

flake8 your_module.py

Thanks a lot for your article, really appreciate that !

But I have a little problem, when I clone the code and run "docker-compose up -d", it return
"502 Bad Gateway"

Do you know how to fix this ? I quite new to docker and nginx :v

Thanks in advance !

Major bugs:
(1) you need to initialize first de dabases in the "docker-compose.yml". Otherwise the services try to conect (in my case) to them without being initialize.
(2) change DATABASE_URL for DATABASE_URI here:
"""

~/python-microservices/movie-service/app/api/db.py

import os

from sqlalchemy import (Column, DateTime, Integer, MetaData, String, Table,
create_engine, ARRAY)

from databases import Database

DATABASE_URL = os.getenv('DATABASE_URL')
"""

Excellent article. Looking forward to read more of your posts.

This is a great, great post that touches many things. FastAPI has been on my back burner for quite some time to try out so thanks for sharing!

A question about async database queries though: Last time I looked, depending on where your database is (same network boundary as your app), you can actually incur a performance penalty by using the event loop. Do you know if that's still the case? I'm imagining a lot of work has gone into that since I last looked so maybe it's not as noticeable. That said, you'd still be freeing up the worker with the async call, so depending on your application needs, taking that performance hit may still be best.

This was a much needed introduction to FastAPI and possibly one of my favorites in terms of how comprehensive it was in terms of bringing in Docker, the use of Databases, and nginx configuration.

Can I request that you do something about security as well? Like authentication schemes within fast-api?

Hey Paurakh, first of all, thanks for the post very helpful. I am trying to understand a few things here any guidance would be appreciated. I am a novice so, pls excuse if my questions are lame,

Q1 - I tried the example that you have given were there were only 4 fields name, plot, genres, casts
everything is fine. Now if I need to make this work for let's say mongo, I need to add 2 more fields id and year, how would you go about doing that?

fake_movie_db = [
{
'name': 'Star Wars: Episode IX - The Rise of Skywalker',
'plot': 'The surviving members of the resistance face the First Order once again.',
'genres': ['Action', 'Adventure', 'Fantasy'],
'casts': ['Daisy Ridley', 'Adam Driver']
}
]

Q2 - when I tried the same with our existing code, POST request was successful but when do a get it was not showing any of the new fields. there should be an error in this scenario?

Thanks
Aravinth

Beautiful article, following what you made I created a personal "library" project. I would like to ask you if you can add the way to do the tests on the various endpoints, because following the fastapi documentation I find myself having problems with the db

Dosen't work for me

this is my docker-compose.yml:

version: '3.7'

services:
movie_service:
build: ./movie-service
command: uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
volumes:
- ./movie-service/:/app/
ports:
- 8001:8000
environment:
- DATABASE_URI=postgresql://postgres:"password"@movie_db/movie_db_dev
- CAST_SERVICE_HOST_URL=cast_service:8000/api/v1/casts/

movie_db:
image: postgres:10.14
volumes:
- postgres_data_movie:/var/lib/postgresql/data/
environment:
- POSTGRES_USER=postgres
- POSTGRES_PASSWORD="password"
- POSTGRES_DB=movie_db_dev

cast_service:
build: ./cast-service
command: uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
volumes:
- ./cast-service/:/app/
ports:
- 8002:8000
environment:
- DATABASE_URI=postgresql://postgres:"password"@cast_db/cast_db_dev

cast_db:
image: postgres:10.14
volumes:
- postgres_data_cast:/var/lib/postgresql/data/
environment:
- POSTGRES_USER=postgres
- POSTGRES_PASSWORD="password"
- POSTGRES_DB=cast_db_dev

nginx:
image: nginx:latest
ports:
- "8080:8080"
volumes:
- ./nginx_config.conf:/etc/nginx/conf.d/default.conf
depends_on:
- cast_service
- movie_service

volumes:
postgres_data_movie:
postgres_data_cast:

hint: "password" is my postgresql password

My nginx runing:
prnt.sc/v0qi2v

My docker:
prnt.sc/v0qind

Thanks very much for this. Many comments are pointing out errors (and hopefully they've been fixed), but I think that's irrelevant - this article greatly demystifies this entire process for me on both a conceptual/architectural level as well as the rough details.

Thank you.

Very nice article

Thanks for a great tutorial mate!
Is there any way to implement multitenancy in such a codebase?
I'm looking into this tutorial, but it seems not that obvious
mergeboard.com/blog/6-multitenancy...

Thanks!

wooow thank u very much bro great tuto
one thing is missing i need it fastapi oauth2

Wow. Thank you so much! I was looking for something like this.

An excellent article. Thanks a lot.

Thanks!
1q: why did you use venv instead pipenv? I saw your previous articles and you use pipenv there

Really very very useful article, thanks @paurakhsharma , we need another one for deploying as well

Very nice article !
Please, can you add Travis or GitHub actions to the project and deploy it on heroku ?
Maybe update the article too. It will be nice !

Thanks for this. I wanted to ask what's the easiest way to define a relationship a many-to-many when using encode/database?

Hi @paurakhsharma , I'm getting the below error while running movies service in Windows OS:
from app.api.movies import movies
ModuleNotFoundError: No module named 'app'

Hi, I'm getting the below error when running movies service. I'm on windows
from app.api.movies import movies
ModuleNotFoundError: No module named 'app'

Obrigado foi uma bela jornada acompanhar seu tutorial. Muito bom.

Can you upgrade this project by adding Rabbitqm or stuffs like that, thank you so much

man this code has errors its not working

I have a very basic question lol, Can you tell me what's the utility of the cast_db and cast_movie ?

Hello @paurakhsharma
I'm Wondering If You Are Using Eureka How Will You Go About Registering The Microservice Using py_eureka_client And Expose The JSON With A Submit Endpoint

Kindly Assist