Problem 2.33 - Average Shear Stress
[Problem adapted from © Kurt Gramoll CC BY NC-SA 4.0]
#| standalone: true
#| viewerHeight: 600
#| components: [viewer]
from shiny import App, render, ui, reactive
import random
import asyncio
import io
import math
import string
from datetime import datetime
from pathlib import Path
def generate_random_letters(length):
# Generate a random string of letters of specified length
return "".join(random.choice(string.ascii_lowercase) for _ in range(length))
problem_ID = "167"
L = reactive.Value("__")
w = reactive.Value("__")
tau_glue = reactive.Value("__")
d = reactive.Value("__")
tau_bolt = reactive.Value("__")
attempts = ["Timestamp,Attempt,Answer,Feedback\n"]
app_ui = ui.page_fluid(
ui.markdown(
"**Please enter your ID number from your instructor and click to generate your problem**"
),
ui.input_text("ID", "", placeholder="Enter ID Number Here"),
ui.input_action_button(
"generate_problem", "Generate Problem", class_="btn-primary"
),
ui.markdown("**Problem Statement**"),
ui.output_ui("ui_problem_statement"),
ui.input_text(
"answer", "Your Answer in units of lb", placeholder="Please enter your answer"
),
ui.input_action_button("submit", "Submit Answer", class_="btn-primary"),
ui.download_button("download", "Download File to Submit", class_="btn-success"),
)
def server(input, output, session):
# Initialize a counter for attempts
attempt_counter = reactive.Value(0)
@output
@render.ui
def ui_problem_statement():
return [
ui.markdown(
f"Three bars of length L = {L()} in. and width w = {w()} in. are attached to each other and a wall. One joint is connected with glue that has a failure shear stress of {tau_glue()} psi. The other joint is connected with a bolt of diameter d = {d()} in. that has a failure shear stress of {tau_bolt()} ksi. Determine the minimum load P at which one joint will fail."
)
]
@reactive.Effect
@reactive.event(input.generate_problem)
def randomize_vars():
random.seed(input.ID())
L.set(random.randrange(4,10,1))
w.set(random.randrange(10,30,1)/10)
tau_glue.set(random.randrange(500,1000,10))
d.set(random.randrange(3,8,1)/10)
tau_bolt.set(random.randrange(50,150,1)/10)
@reactive.Effect
@reactive.event(input.submit)
def _():
attempt_counter.set(
attempt_counter() + 1
) # Increment the attempt counter on each submission.
Pg = tau_glue()*w()*.25*L()
Pb = tau_bolt()*1000*((d()/2)**2*math.pi)
if Pg >= Pb:
instr = Pb
else:
instr = Pg
if math.isclose(float(input.answer()), instr, rel_tol=0.01):
check = "*Correct*"
correct_indicator = "JL"
else:
check = "*Not Correct.*"
correct_indicator = "JG"
# Generate random parts for the encoded attempt.
random_start = generate_random_letters(4)
random_middle = generate_random_letters(4)
random_end = generate_random_letters(4)
encoded_attempt = f"{random_start}{problem_ID}-{random_middle}{attempt_counter()}{correct_indicator}-{random_end}{input.ID()}"
# Store the most recent encoded attempt in a reactive value so it persists across submissions
session.encoded_attempt = reactive.Value(encoded_attempt)
# Append the attempt data to the attempts list without the encoded attempt
attempts.append(
f"{datetime.now()}, {attempt_counter()}, {input.answer()}, {check}\n"
)
# Show feedback to the user.
feedback = ui.markdown(
f"Your answer of {input.answer()} is {check}."
)
m = ui.modal(feedback, title="Feedback", easy_close=True)
ui.modal_show(m)
@session.download(filename=lambda: f"Problem_Log-{problem_ID}-{input.ID()}.csv")
async def download():
# Start the CSV with the encoded attempt (without label)
final_encoded = (
session.encoded_attempt()
if session.encoded_attempt is not None
else "No attempts"
)
yield f"{final_encoded}\n\n"
# Write the header for the remaining CSV data once
yield "Timestamp,Attempt,Answer,Feedback\n"
# Write the attempts data, ensure that the header from the attempts list is not written again
for attempt in attempts[1:]: # Skip the first element which is the header
await asyncio.sleep(
0.25
) # This delay may not be necessary; adjust as needed
yield attempt
# App installation
app = App(app_ui, server)