This is a project to support AP Computer Science Principles (CSP) as well as a UC articulated Data Structures course. It was crafted iteratively starting in 2020 to the present time. The primary purposes are ...
- Used as starter code for student projects for
AP CSP 1 and 2
andData Structures 1
curriculum. - Used to teach key principles in learning the Python Flask programming environment.
- Used as a backend server to service API's in a frontend-to-backend pipeline. Review the
api
folder in the project for endpoints. - Contains a minimal frontend, mostly to support Administrative functionality using the
templates
folder andJinja2
to define UIs. - Contains SQL database code in the
model
folder to introduce concepts of persistent data and storage. Perisistence folder isinstance/volumes
for generated SQLite3 db. - Contains capabilities for deployment and has been used with AWS, Ubuntu, Docker, docker-compose, and Nginx to
deploy a WSGI server
. - Contains APIs to support
user authentication and cookies
, a great deal of which was contributed by Aiden Wu a former student in CSP.
Use this project to create a Flask Server.
- GitHub link: flask_2025
- The runtime link is published under the About on the GitHub link.
Create a template from this repository
if you plan on making GitHub changes.
Quick steps that can be used with MacOS, WSL Ubuntu, or Ubuntu; this uses Python 3.9 or later as a prerequisite.
- Open a Terminal, clone a project and
cd
into the project directory. Use adifferent link
and name forname
for clone to match your repo.
mkdir -p ~/nighthawk; cd ~/nighthawk
git clone https://github.com/nighthawkcoders/flask_2025.git
cd flask_2025
- Install python dependencies for Flask, etc.
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
-
Prepare VSCode and run
- From Terminal run VSCode
code .
-
Open Setting: Ctrl-Shift P or Cmd-Shift
- Search Python: Select Interpreter.
- Match interpreter to
which python
from terminal. - Shourd be ./venv/bin/python
-
From Extensions Marketplace install
SQLite3 Editor
- Open and view SQL database file
instance/volumes/user_management.db
- Open and view SQL database file
-
Make a local
.env
file in root of project to contain your secret passwords
# User Defaults ADMIN_USER='toby' ADMIN_PASSWORD='123Toby!' DEFAULT_USER='hop' DEFAULT_PASSWORD='123Hop!'
- Make the database and init data.
./scripts/db_init.py
-
Explore newly created SQL database
- Navigate too instance/volumes
- View/open
user_management.db
- Loook at
Users
table in viewer
-
Run the Project
- Select/open
main.py
in VSCode - Start with Play button
- Play button sub option contains Debug
- Click on loop back address in terminal to launch
- Output window will contain page to launch http://127.0.0.1:8087
- Login using your secrets
- Select/open
The Starter code should be fun and practical.
- Organize with Bootstrap menu
- Add some color and fun through VANTA Visuals (birds, halo, solar, net)
- Show some practical and fun links (HREFs) like Twitter, Git, Youtube
- Build a Sample Page (Table)
- Show the project-specific links (HREFs) per page
The key files and directories in this project are in this online article.
Or read this entire series of articles starting with the Intro, Anatomy, and more ...
Updates for 2024 too 2025 school year. Primary addition is a fully functional backend for JWT login system.
- Full support for JWT cookies
- The API's for CRUD methods
- The model definition User Class and related tables
- SQLite and RDS support
- Minimal Server side UI in Jinja2
Updates for 2023 to 2024 school year.
- Update README with File Descriptions (anatomy)
- Add JWT and add security features using a SQLite user database
- Add migrate.sh to support sqlite schema and data upgrade
This project focuses on being a Python backend server. Intentions are to only have simple UIs an perhaps some Administrative UIs.
Basic UI elements were implemented showing server side Flask with Jinja 2 capabilities.
- The Project entry point is main.py, this enables the Flask Web App and provides the capability to render templates (HTML files)
- The main.py is the Web Server Gateway Interface, essentially it contains an HTTP route and HTML file relationship. The Python code constructs WSGI relationships for index, kangaroos, walruses, and hawkers.
- The project structure contains many directories and files. The template directory (containing HTML files) and static directory (containing JS files) are common standards for HTML coding. Static files can be pictures and videos, in this project they are mostly javascript backgrounds.
- WSGI templates: index.html, kangaroos.html, ... are aligned with routes in main.py.
- Other templates support WSGI templates. The base.html template contains common Head, Style, Body, and Script definitions. WSGI templates often "include" or "extend" these templates. This is a way to reuse code.
- The VANTA javascript statics (backgrounds) are shown and defaulted in base.html (birds) but are block-replaced as needed in other templates (solar, net, ...)
- The Bootstrap Navbar code is in navbar.html. The base.html code includes navbar.html. The WSGI html files extend base.html files. This is a process of management and correlation to optimize code management. For instance, if the menu changes discovery of navbar.html is easy, one change reflects on all WSGI html files.
- Jinja2 variables usage is to isolate data and allow redefinitions of attributes in templates. Observe "{% set variable = %}" syntax for definition and "{{ variable }}" for reference.
- The base.html uses a combination of Bootstrap grid styling and custom CSS styling. Grid styling in observation with the "" markers. A Bootstrap Grid has a width of 12, thus four "Col-3" markers could fit on a Grid row.
- A key purpose of this project is to embed links to other content. The "href=" definition embeds hyperlinks into the rendered HTML. The base.html file shows usage of "href={{github}}", the "{{github}}" is a Jinja2 variable. Jinja2 variables are pre-processed by Python, a variable swap with value, before being sent to the browser.