Within your course repository, create a directory "hw2" for your application and an initial app.py file. Commit and push to your remote repository.

cd <path_to_repo>
mkdir hw2
touch hw2/app.py
git add hw2
git commit -m "initial commit for hw2"
git push

As you develop your application, ensure changes are committed frequently. Your git history will be graded.

Throughout the course, we will be incrementally constructing a scalable web application for famous quotes. The sequence the homeworks will follow is below:

• Homework #2: Python/Flask MVP web application using sqlite3 as a database backend supporting create and read operations with update and delete as stretch goals.
• Homework #3: Containerized version of Homework #2 uploaded to Docker Hub
• Homework #4: Containerized version of application with Cloud Datastore database backend deployed on Cloud Run

The application should support the submission and viewership of entries that are provided via a web form. Submission of entries should support fields that can hold attributes typically related to the application and are stored in a backend database. Examples include:

• Quote
• Person the quote is attributed to
• Date of the quote (e.g. year, month, day)
• Source type for the quote (e.g. book, speech, essay, movie, song)
• Source of the quote (e.g. the Constitution, Barbie the Movie, "I Have a Dream", "Imagine")
• Quote rating

Follows an MVP pattern and supports the following routes/views:

• Route that implements the default landing page with links to other routes
• Route that allows one to view all entries previously submitted
• Route for creating/inserting a new entries via an HTML form

Have a backend implementation that has:

• An abstract model class (e.g. Model.py) that supports individual fields with varying data types to support the application and that is documented via Docstrings including parameters and return values with their types
• A derived data model class (e.g. model_sqlite3.py) that supports creation and reading of entries via a sqlite3 database

Can be run successfully via

python3 -m venv env
source env/bin/activate
pip install -r requirements.txt
python app.py

• app.py listens on port 5000 when called directly from Python
• requirements.txt contains all packages required to run program
• Contain an abstract data model class that serves as the base class for specific model instantiations (sqlite3, Cloud Datastore, etc)

You may derive your application out of the supplied code in the course repository at https://github.com/wu4f/cs430-src

The following rubric will be used to evaluate your homework submission: