import random

import pandas as pd
import streamlit as st


@st.cache_data
def load_data():
    return pd.DataFrame(
        {
            "name": ["Roadmap", "Extras", "Issues"],
            "url": [
                "https://roadmap.streamlit.app",
                "https://extras.streamlit.app",
                "https://issues.streamlit.app",
            ],
            "stars": [random.randint(0, 1000) for _ in range(3)],
            "views_history": [
                [random.randint(0, 5000) for _ in range(30)] for _ in range(3)
            ],
        }
    )


df = load_data()

st.dataframe(
    df,
    column_config={
        "name": "App name",
        "stars": st.column_config.NumberColumn(
            "Github Stars",
            help="Number of stars on GitHub",
            format="%d ⭐",
        ),
        "url": st.column_config.LinkColumn("App URL"),
        "views_history": st.column_config.LineChartColumn(
            "Views (past 30 days)", y_min=0, y_max=5000
        ),
    },
    hide_index=True,
)