Init

Dockerfile

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+# app/Dockerfile
+
+FROM python:3.9-slim
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    software-properties-common \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN git clone https://github.com/streamlit/streamlit-example.git .
+
+RUN pip3 install -r requirements.txt
+
+EXPOSE 8501
+
+HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
+
+ENTRYPOINT ["streamlit", "run", "main.py", "--server.port=8501", "--server.address=0.0.0.0"]

main.py

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+from collections import namedtuple
+import altair as alt
+import math
+import pandas as pd
+import streamlit as st
+
+"""
+# Welcome to Streamlit!
+
+Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:
+
+If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
+forums](https://discuss.streamlit.io).
+
+In the meantime, below is an example of what you can do with just a few lines of code:
+"""
+
+with st.echo(code_location='below'):
+   total_points = st.slider("Number of points in spiral", 1, 5000, 2000)
+   num_turns = st.slider("Number of turns in spiral", 1, 100, 9)
+
+   Point = namedtuple('Point', 'x y')
+   data = []
+
+   points_per_turn = total_points / num_turns
+
+   for curr_point_num in range(total_points):
+      curr_turn, i = divmod(curr_point_num, points_per_turn)
+      angle = (curr_turn + 1) * 2 * math.pi * i / points_per_turn
+      radius = curr_point_num / total_points
+      x = radius * math.cos(angle)
+      y = radius * math.sin(angle)
+      data.append(Point(x, y))
+
+   st.altair_chart(alt.Chart(pd.DataFrame(data), height=500, width=500)
+      .mark_circle(color='#0068c9', opacity=0.5)
+      .encode(x='x:Q', y='y:Q'))

readme.md

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+## Requirements
+
+Build a simple application using ***existing technologies** (hint: we don’t need you to build a shapefile parser from scratch)* that will allow shapefiles to be visualized on a map. Shapefile data does not need to be persisted into a database, this application should be ephemeral and have the potential to be entirely offline.
+
+You’re free to use the framework of your choice. We want to understand how you approach this from a product perspective. Remember, we’re chasing ease of use!
+
+**Please don’t spend more than 1-2 hours on this exercise. Get something working, and we can have a discussion about features that would have followed.**
+
+
+
+steps:
+
+- streamlit getting started
+- display a shapefile
+- add a legend
+- add feature to select shape file

streamlit_config.toml

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+[browser]
+    gatherUsageStats = false