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# Code attribution: Yiyin Shen, Tyler Caraza-Harter
# Imports
from flask import Flask, request, Response
from io import BytesIO
import matplotlib.pyplot as plt
import pandas
import json
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# Build a webpage that displays the grades as histogram as json
app = Flask("app")

@app.route("/")
def home():
    return """
    <html>
    <body>
    <h1>Quiz PNG</h1>
    <img src="grades.png?col=Quiz" width="250"><br>
    <h1>Project SVG</h1>
    <img src="grades.svg?col=Project" width="250"><br>
    </body>
    </html>
    """

@app.route("/grades.png")
def grades_png():
    if request.args and request.args["col"]:
        table = pandas.read_csv("Grades.csv")
        fig, ax = plt.subplots()
        col = request.args["col"]
        if col in ["Quiz", "Project", "Exam"]:
            ax.hist(table[col])
            ax.set_title(col + " Grades")
            fake_file = BytesIO()
            fig.savefig(fake_file, format = "png")
            return Response(fake_file.getvalue(), headers = {"Content-Type": "image/png"})
        else:
            return "Column not found."
    else:
        return "Column not specified."

@app.route("/grades.svg")
def grades_svg():
    if request.args and request.args["col"]:
        table = pandas.read_csv("Grades.csv")
        fig, ax = plt.subplots()
        col = request.args["col"]
        if col in ["Quiz", "Project", "Exam"]:
            ax.hist(table[col])
            ax.set_title(col + " Grades")
            fake_file = BytesIO()
            fig.savefig(fake_file, format = "svg")
            return Response(fake_file.getvalue(), headers = {"Content-Type": "image/svg+xml"})
        else:
            return "Column not found."
    else:
        return "Column not specified."

@app.route("/grades.json")
def grades_json():
    if request.args and request.args["col"]:
        table = pandas.read_csv("Grades.csv")
        col = request.args["col"]
        if col in ["Quiz", "Project", "Exam"]:
            table = pandas.read_csv("Grades.csv")
            table = table.sample(frac = 1).reset_index(drop = True)
            return Response(table[col].to_json(), headers = {"Content-Type": "application/json"})
        else:
            return json.dumps({"1":"0", "2":"0", "3":"0"})
    else:
        return "Column not specified."

app.run(host = "0.0.0.0", debug = False, threaded = False)

 * Serving Flask app 'app'
 * 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 all addresses (0.0.0.0)
 * Running on http://127.0.0.1:5000
 * Running on http://192.168.1.87:5000
Press CTRL+C to quit
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