PYFASTAPI

sample backend using pyfastapi, sqlalchemy, and alembic

Pre-requisites

• python 3.12
• poetry
• sqlite

How to run

1. install dependencies poetry install
2. copy .env.example to .env and change the values if needed
3. run the app poetry run python run.py
4. call the api endpoint curl http://localhost:5000/persons
5. open http://localhost:5000/docs to view then openapi docs

How to run in a container

1. build the image podman build -t pyfastapi .
2. run the image podman run -p 5000:5000 pyfastapi

note: you can use docker instead of podman as it is a drop in replacement

Seed Data

1. run alembic upgrade head
2. sql schema and the data should be on ./sql_app.db
3. refer to alembic.ini to change other configuration, it uses .env for the DB url

Tests

1. make sure main dependencies are installed
2. run poetry install
3. run pytest, take note that it uses .env.test for configuration

Data Model

---
config:
  layout: dagre
  look: handDrawn
title: ERD
---
erDiagram
	person {
		int id PK ""  
		String last_name  ""  
		String first_name  ""  
		String country_code FK ""  
		timestamp updated_at  ""  
		timestamp created_at  ""  
	}
	country {
		String code PK ""  
		String name  ""  
		int phone  ""  
		String symbol  ""  
		String capital  ""  
		String currency  ""  
		String continent_code FK ""  
		String alpha_3  ""  
		timestamp updated_at  ""  
		timestamp created_at  ""  
	}
	continent {
		String code PK ""  
		String name  ""  
	}
	person}|--||country:"residesIn"
	country}|--||continent:"belongsTo"

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