url for this repo
https://github.com/pleabargain/Fast-API-CRUD-App-Live-Stream-Code
before running " uvicorn main:app --reload " you need to install sqlalchemy
pip install sqlalchemy
start the server
uvicorn main:app --reload
to view the DB in VS code
I use the extension:
vscode-sqlite
view the docs
add a new todo item
http://127.0.0.1:8000/docs#/default/addItem__post
see all items in FastAPI
http://127.0.0.1:8000/docs#/default/getitems_table_get
view as a table
view as a basic list
done
- create a jinja template and render the database 'items' http://127.0.0.1:8000/table
to do
- create a template form that takes a new item and adds it to the task database
- this has proven very difficult :(
- create a search form
- add footers templates/static
- add headers template with favico templates/static
- add css templates/static
to review
- https://cookiecutter-fastapi.readthedocs.io/en/latest/userguide.html
- https://www.gormanalysis.com/blog/building-and-deploying-rock-paper-scissors-with-python-fastapi-and-deta/
courses
ORIGINAL README : Dennis Ivy FastAPI CRUD App
This is a simple app designed to play around with FastAPI with a basic CRUD app. The article accompanying the app can be found at https://medium.com/@dennisivy/my-first-crud-app-with-fast-api-74ac190d2dcc and the livestreamed video can be seen at https://www.youtube.com/watch?v=FOZNYBu8u18.
Installation
In order to run the app, it is recommended you first create and activate a virtual environment:
python -m venv env
python3 -m venv env if on an older system where python 2.7
is the default version used when calling "python"
Activate Virtual Environment
Windows
env\Scripts\activate
Unix-based
source env/bin/activate
Once the virtual environment is activated simply run `pip install -r requirements.txt`
## Run the app
There are multiple options available when running the app.
The way you're likely going to want to do it is by running the command
```bash
uvicorn main:app --reload
If you would like to choose a specific port (if 8000 is already occupied by another program), then you can run
uvicorn main:app --reload --port <PORT>
where the <PORT>
is a number of your choosing.
For the rest of the options when running a uvicorn app, visit https://www.uvicorn.org/#command-line-options.