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 ...
api
folder in the project for endpoints.templates
folder.model
folder to introduce concepts of persistent data and storage.Use this project to create a Flask Server.
Runtime link: https://flask.nighthawkcodingsociety.com/ GitHub link: https://github.com/nighthawkcoders/flask_portfolio
Quick steps that can be used with MacOS, WSL Ubuntu, or Ubuntu; this uses Python 3.9 or later as a prerequisite.
mkdir ~/vscode; cd ~/vscode
git clone https://github.com/nighthawkcoders/flask_portfolio.git
cd flask_portfolio
pip install -r requirements.txt
Run from Terminal without VSCode
./migrate.sh
python main.py
Prepare VSCode and run
code .
Open Setting: Ctl-Shift P or Cmd-Shift
Search Python: Select Interpreter
Match interpreter to which python
from terminal
Select main.py and Play button
Try the Play button and try to Debug
The Starter code should be fun and practical.
These are some of the key files and directories in this project
README.md: This file contains instructions for setting up the necessary tools and cloning the project. A README file is a standard component of all properly set-up GitHub projects.
requirements.txt: This file lists the dependencies required to turn this Python project into a Flask/Python project. It may also include other backend dependencies, such as dependencies for working with a database.
main.py: This Python source file is used to run the project. Running this file starts a Flask web server locally on localhost. During development, this is the file you use to run, test, and debug the project.
Dockerfile and docker-compose.yml: These files are used to run and test the project in a Docker container. They allow you to simulate the project’s deployment on a server, such as an AWS EC2 instance. Running these files helps ensure that your tools and dependencies work correctly on different machines.
instances: This directory is the standard location for storing data files that you want to remain on the server. For example, SQLite database files can be stored in this directory. Files stored in this location will persist after web application restart, everyting outside of instances will be recreated at restart.
static: This directory is the standard location for files that you want to be cached by the web server. It is typically used for image files (JPEG, PNG, etc.) or JavaScript files that remain constant during the execution of the web server.
api: This directory contains code that receives and responds to requests from external servers. It serves as the interface between the external world and the logic and code in the rest of the project.
model: This directory contains files that implement the backend functionality for many of the files in the api directory. For example, there may be files in the model directory that directly interact with the database.
templates: This directory contains files and subdirectories used to support the home and error pages of the website.
.gitignore: This file specifies elements to be excluded from version control. Files are excluded when they are derived and not considered part of the project’s original source. In the VSCode Explorer, you may notice some files appearing dimmed, indicating that they are intentionally excluded from version control based on the rules defined in .gitignore.
Updates for 2023 to 2024 school year.
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.