TDM 40200: Project 7 — 2023

Motivation: Dashboards are everywhere — many of our corporate partners' projects are to build dashboards (or dashboard variants)! Dashboards are used to interactively visualize some set of data. Dashboards can be used to display, add, remove, filter, or complete some customized operation to data. Ultimately, a dashboard is really a website focused on displaying data. Dashboards are so popular, there are entire frameworks designed around making them with less effort, faster. Two of the more popular examples of such frameworks are shiny (in R) and dash (in Python). While these tools are incredibly useful, it can be very beneficial to take a step back and build a dashboard (or website) from scratch (we are going to utilize many powerfuly packages and tools that make this far from "scratch", but it will still be more from scratch than those dashboard frameworks).

Context: This is the sixth in a series of projects focused around slowly building a dashboard. Students will have the opportunity to: create a backend (API) using fastapi, connect the backend to a database using aiosql, use the jinja2 templating engine to create a frontend, use htmx to add "reactivity" to the frontend, create and use forms to insert data into the database, containerize the application so it can be deployed anywhere, and deploy the application to a cloud provider. Each week the project will build on the previous week, however, each week will be self-contained. This means that you can complete the project in any order, and if you miss a week, you can still complete the following project using the provided starting point.

Scope: Python, dashboards

Learning Objectives

  • Continue to develop skills and techniques using fastapi to build a backend.

  • Learn how to use pydantic for data validation and type hints.

  • Learn how fastapi and pydantic work together to create endpoints that validate data and return typed responses.

  • Create a directory structure to assemble a fastapi backend.

  • Use fastapi and jinja2 to build a frontend.

Make sure to read about, and use the template found here, and the important information about projects submissions here.

Dataset(s)

The following questions will use the following dataset(s):

  • /anvil/projects/tdm/data/movies_and_tv/imdb.db

Questions

Interested in being a TA? Please apply: purdue.ca1.qualtrics.com/jfe/form/SV_08IIpwh19umLvbE

Question 1

This project assumes you have a working backend from the previous project. Need a clean slate? You can copy over a working API starting Saturday, February 25th.

mv $SCRATCH/imdb $SCRATCH/imdb.bak
mkdir $SCRATCH/imdb
cp -a /anvil/projects/tdm/etc/project06/* $SCRATCH/imdb
cp /anvil/projects/tdm/data/movies_and_tv/imdb.db $SCRATCH/imdb/backend/api/

Then, to run the API, first load up our Python environment.

module use /anvil/projects/tdm/opt/core
module load tdm
module load python/f2022-s2023

Next, find an unused port to run the API on.

find_port # 7777, for example

Then, run the API using the port from the previous step, in our case, 7777.

cd $SCRATCH/imdb
python3 -m uvicorn backend.api.api:app --reload --port 7777

In this project, we are going to build a simple frontend for our API using fastapi and jinja2. Typically, when using fastapi and jinja2, you would simply create a templates directory in your project, and "wire" it all up in the same location. However, it is extremely common for frontends to use different technologies like reactjs, vuejs, or svelte. Sometimes, the frontend and backend teams are even different!

A clean separation of frontend and backend makes it easier to work on the frontend and backend independently. In order to try and emulate this behavior, we are going to create a frontend that is completely separate from our backend. Endpoints in our frontend will use the httpx library to make requests to our backend. This is a bit clunky, but worth the effort to try and emulate a real-world scenario.

Let’s get started by setting up our directory structure for the frontend. Create the following directory structure in your project.

directory structure
imdb
├── backend
│   ├── api
│   │   ├── api.py
│   │   ├── database.py
│   │   ├── imdb.db
│   │   ├── pydantic_models.py
│   │   └── queries.sql
│   ├── pyproject.toml
│   └── README.md
├── frontend
│   ├── endpoints.py
│   └── templates
│       └── titles.html
└── README.md

4 directories, 10 files

Next, let’s fill in our titles.html and endpoints.py files, with a basic example to get started.

endpoints.py
from fastapi import FastAPI, Request
from fastapi.responses import HTMLResponse, JSONResponse, PlainTextResponse
from fastapi.templating import Jinja2Templates
import httpx

app = FastAPI()
templates = Jinja2Templates(directory='frontend/templates')

port = 7777

@app.get("/titles/{title_id}", response_class=HTMLResponse)
async def get_title(request: Request, title_id: str):
    async with httpx.AsyncClient() as client:
        resp = await client.get(f'http://localhost:{port}/titles/{title_id}')

    return templates.TemplateResponse("titles.html", {"request": request, "object": resp.json()})
titles.html
<html>
    <head>
        <title>{{ object.title_id }}</title>
    </head>
    <body>
        <h1>Test</h1>
        <code>{{ object }}</code>
    </body>
</html>

Finally, a few notes.

  1. You can change the value of port to whatever port you are using for your backend. Remember, you can use find_port to find an unused port.

    module use /anvil/projects/tdm/opt/core
module load tdm
module load python/f2022-s2023

find_port # 7777, for example

  2. You will also need to run your frontend on some port (for this project), you can use find_port to find an unused port as well.

  3. We use the httpx package to make requests to our backend, retrieve the response, and then pass it to our template.

Now, in 1 terminal, run your backend on some port. Open another terminal, and run your frontend on some port. You can run the frontend using the following command.

module use /anvil/projects/tdm/opt/core
module load tdm
module load python/f2022-s2023

cd $SCRATCH/imdb
python3 -m uvicorn frontend.endpoints:app --reload --port 8888 # replace 8888 with your port for your frontend

Finally, open a browser, and navigate to localhost:8888/titles/tt0241527. You should see something like the following.

Expected result
Figure 1. Expected result

For this question, include a screenshot in your Jupyter notebook showing the output of your frontend when you navigate to localhost:8888/titles/tt1197624.

Items to submit

  • Code used to solve this problem.

  • Output from running the code.

  • Screenshot in your Jupyter notebook showing the output of your frontend when you navigate to localhost:8888/titles/tt1197624

Question 2

Okay great! At this point in time, you should have a working frontend and backend. The goal of this project is to learn about and use jinja2 to build a frontend. Here are some resources to help you.

Each of the following questions will introduce a new requirement for your frontend. You will need to add functions to your endpoints.py file, add new HTML templates to your templates directory, and add stylistic elements to your HTML templates using a CSS framework.

Add new functions for each of the other two endpoints in your backend. In addition, create new HTML templates for each of the other two endpoints as well, that return a very basic HTML page. Basically, duplicate what we did for titles for cast and people.

Items to submit

  • Code used to solve this problem.

  • Output from running the code.

  • Screenshot in your Jupyter notebook showing the output of your frontend when you navigate to localhost:8888/cast/tt1197624.

  • Screenshot in your Jupyter notebook showing the output of your frontend when you navigate to localhost:8888/people/nm1046097.

Question 3

Update your 3 templates to use HTML elements that make sense. For example, items that are a part of a list, perhaps you should use the ul and li tags. Titles, should maybe be in an h1 or h2 tag, etc.

Finally, make sure to use a for loop at least 1 time in at least 1 of your templates.

Add new screenshots of your updated webpages to your Jupyter notebook.

Items to submit

Question 4

Update your cast.html template so that each member of the cast has a link to their people page.

Include a couple screenshots demonstrating your updated page’s functionality.

Items to submit

  • Code used to solve this problem.

  • Output from running the code.

Question 5

Finally, HTML is not very pretty, and doesn’t give you a lot of room for expression. Let’s add some CSS using the bootstrap framework. Add the following tag to the head of each of your HTML templates.

<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" integrity="sha384-rbsA2VBKQhggwzxH7pPCaAqO46MgnOM80zW1RWuH61DGLwZJEdK2Kadq2F9CUG65" crossorigin="anonymous">

Now, check out the bootstrap docs here, and the examples here.

Use the class attributes to add some styling to all of your templates. Once you feel satisfied with your styling, add a screenshot of each of your updated pages to your Jupyter notebook.

Items to submit

Please make sure to double check that your submission is complete, and contains all of your code and output before submitting. If you are on a spotty internet connection, it is recommended to download your submission after submitting it to make sure what you think you submitted, was what you actually submitted.

In addition, please review our submission guidelines before submitting your project.