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fire-hnl-streamlit
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import re
import streamlit as st
import rioxarray as rxr
import cartopy.crs as ccrs

import matplotlib.pyplot as plt
import streamlit.components.v1 as components

from matplotlib.animation import FuncAnimation
from huggingface_hub import hf_hub_download

st.set_page_config(
    page_title="Home",
    page_icon="👋",
)

st.write("# FiRE-HNL Beta Dashboard")

st.sidebar.success("Select a page above.")

st.markdown(
    """
    This space was created to test several operational products
    developed for Alaska fire occurrence modeling efforts.
    Select a page from the sidebar to test some of the example
    workflows developed as part of this research.
    
    ## Objectives
    Visualization and download of Alaska lightning data.
    
    ## Want to learn more?
    - Feel free to contact us for additional details, jacaraba@umd.edu
    """
)

"""
# define dataset url
DATASET_URL = 'jordancaraballo/alaska-wildfire-occurrence'
EPSG = 3338

# Grab the dataset from Hugging Face
cgl_filename = hf_hub_download(
    repo_id=DATASET_URL,
    filename='alaskan-tundra-lightning-forecast_latest.tif',
    repo_type="dataset")

# Open the filename from the forecast
cgl_ds = rxr.open_rasterio(cgl_filename)

# Rename bands with timestamps
cgl_ds['band'] = cgl_ds.attrs['DATES'].replace("'", "").strip('][').split(', ')

# Generate visualization
fig = plt.figure()
ax = plt.axes(projection=ccrs.epsg(EPSG))
ax.coastlines()

# Generate merge with cartipy
mesh = cgl_ds.isel(band=0).plot.pcolormesh(
    ax=ax, transform=ccrs.epsg(EPSG),
    animated=True, cmap='rainbow', vmin=0, vmax=1)


# Define update function
def update_mesh(t):
    ax.set_title("time = %s" % t)
    mesh.set_array(cgl_ds.sel(band=t).values.ravel())
    return mesh,


# Generate animation function
animation = FuncAnimation(
    fig, update_mesh, frames=cgl_ds.band.values, interval=600)
animation_js = animation.to_jshtml()
"""

# Adding autoplay
#click_on_play = \
#    """document.querySelector('.anim-buttons button[title="Play"]').click();"""

"""
# Search for the creation of the animation within the jshtml file
pattern = re.compile(r"(setTimeout.*?;)(.*?})", re.MULTILINE | re.DOTALL)

# Insert the JS line right below that
animation_js = pattern.sub(rf"\1 \n {click_on_play} \2", animation_js)

# Plot text and animation on streamlit page
st.title("Alpha Version - Alaskan Tundra 10-day Lightning Forecast")
st.markdown(
    "Cloud to ground lightning 10-day lightning forecast for the Alaskan " +
    "tundra. This is still work in progress and under development.")

components.html(animation_js, height=1000)

"""