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This repository complements the online notebooks to the Full-Stack Web Development course at HWR Berlin.

The commit history on the main branch has been enriched with tags that match the individual notebooks. Think of these tags as progressing "releases" of the app: as the semester unfolds, more features will be built in, with the occasional refactoring here and there.

I recommend you git checkout the repository at the tagged location of a particular notebook:

By checking out a particular tag, git will throw you a "detached HEAD" warning. This is a feature not a bug :) Consult the git manual for how to work around this warning, if you are so inclined.

Alternatively, you may revert to the latest commit with git reset --hard: this is a destructive command, deleting any local changes you may have done. Be sure to preserve them at some other location if you need them later.

In addition to exemplary code, this repository contains a basic structure for your documentation page in the 📁/docs folder, as a source to GitHub Pages. For setup instructions, see this notebook.

Steps to execute the app

Step 1: set up and activate a Python Virtual Environment.

Step 2: install the required Python packages from the terminal with the command pip install -r requirements.txt:

(venv) C:\Users\me\projects\webapp> pip install -r requirements.txt

I created the file 📄requirements.txt with this command: pip freeze > requirements.txt

Step 3 (optional at tag location sqlalchemy): initialize the app's SQLite database via flask init-db:

(venv) PS C:\Users\me\projects\webapp> flask init-db
Database has been initialized.

Step 4: start the web server via flask run --reload:

(venv) PS C:\Users\me\projects\webapp> flask run --reload
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
 * Restarting with stat

Step 5: visit http://127.0.0.1:5000/insert/sample to populate the app's database with some sample data.

Step 6: visit http://127.0.0.1:5000/ to view the landing page

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