Adding files from previous app, no images

Home.py

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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 PIL import Image
+from matplotlib.animation import FuncAnimation
+# from huggingface_hub import hf_hub_download
+# from streamlit_extras.badges import badge
+
+st.set_page_config(
+    page_title="Home",
+    page_icon="🔥",
+)
+
+st.write("# FiRE-HNL Beta Dashboard")
+
+st.sidebar.success("Select a page above.")
+
+st.markdown(
+    f"""
+    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 fire data. This dashboard
+    was tested during the 2023 fire season, and is being improved
+    for the 2024 fire season. Updates to the maps are done at 6 AM
+    local Alaska time.
+
+    ## Health Status
+    - WRF: Normal
+    - Lightning: Normal
+    - Ignition: In Development
+    
+    ## Study Area
+    """
+)
+
+# set study area image in the dashboard
+img = Image.open('images/study_area.jpeg')
+st.image('https://files.blogs.illinois.edu/files/6367/265408/76088.jpg')#img)
+
+st.markdown(
+    """
+    Figure 1. Study area.
+    """
+)
+
+st.markdown(
+    """    
+    ## Feedback
+    We are seeking daily feedback on forecast potential. Feel free
+    to reach out directly if you have any feedback or if you have
+    additional features that would be useful to improve the information
+    provided here.
+    
+    Curator Email: jacaraba@umd.edu
+    """
+)

graveyard/old_home.py

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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)
+
+"""

packages.txt

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+gdal-bin
+libgdal-dev

pages/1_⚡_Alaska_Lightning.py

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+import os
+import streamlit as st
+import leafmap.foliumap as leafmap
+from glob import glob
+from pathlib import Path
+from datetime import date, timedelta
+from huggingface_hub import hf_hub_download, snapshot_download
+
+st.set_page_config(layout="wide")
+
+markdown = """
+FiRE-HNL Beta Dashboard
+Validation of lightning probability maps during fire season 2024.
+"""
+
+st.sidebar.title("About")
+st.sidebar.info(markdown)
+logo = "https://i.imgur.com/UbOXYAU.png"
+st.sidebar.image(logo)
+
+st.title(f"Lightning Forecast: {date.today()} to {timedelta(days=10) + date.today()}")
+
+dataset_path = snapshot_download(
+    repo_id="loboda-umd/fire-hnl-lightning-2016",
+    #subfolder="2016-06-01_2016-06-11",
+    repo_type="dataset",
+    #filename='d02_2016-06-01_00-00-00_0-warp-lightning-clipped.tif'
+    #allow_patterns=["*.tif"]
+)
+print(dataset_path)
+
+# define layers dict
+options = sorted(glob(os.path.join(dataset_path, '*/*.tif')))
+
+col1, col2 = st.columns([4, 1])
+
+def format_filename(filename):
+    return f'{Path(filename).stem}'.split('_')[1]
+
+# options = layers_dict #list(leafmap.basemaps.keys())
+# print(options)
+index = 0 #options.index("OpenTopoMap")
+
+with col2:
+    current_forecast_date = st.selectbox("Current Forecast Window:", options, index, format_func=format_filename)
+    previous_forecast_date = st.selectbox("Previous Forecast Window:", options, index, format_func=format_filename)
+    legacy_forecast_date = st.selectbox("Legacy Examples:", options, index)
+    print(current_forecast_date)
+
+m = leafmap.Map(
+    locate_control=True, latlon_control=True,
+    draw_export=True, minimap_control=True,
+    center=[30, -40],
+    zoom=13
+
+)
+m.add_basemap("OpenTopoMap")
+
+with col1:
+
+    m.add_raster(
+        current_forecast_date,
+        bands=[1],
+        vmin=0,
+        vmax=100,
+        colormap='jet',
+        layer_name=Path(current_forecast_date).stem
+    )
+        
+    # folium does not support this
+    # m.add_time_slider(layers_dict, time_interval=1)
+    m.to_streamlit(height=700)

pages/2_🌍_Alaska_WRF.py

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+import streamlit as st
+import leafmap.foliumap as leafmap
+from glob import glob
+from pathlib import Path
+
+st.set_page_config(layout="wide")
+
+markdown = """
+FiRE-HNL Beta Dashboard
+<https://github.com/opengeos/streamlit-map-template>
+"""
+
+st.sidebar.title("About")
+st.sidebar.info(markdown)
+logo = "https://i.imgur.com/UbOXYAU.png"
+st.sidebar.image(logo)
+
+
+st.title("Interactive Lightning Forecast (10 days)")
+
+# define layers dict
+layers_dict = glob('/Users/jacaraba/Desktop/FiRE-HNL/all_rf_v3_2012-2022_oversampled_2/test-window/*-clipped.tif')
+
+col1, col2 = st.columns([4, 1])
+options = layers_dict#list(leafmap.basemaps.keys())
+#print(options)
+index = 0 #options.index("OpenTopoMap")
+
+with col2:
+    current_forecast_date = st.selectbox("Current Forecast Window:", options, index)
+    previous_forecast_date = st.selectbox("Previous Forecast Window:", options, index)
+    wrf_variable = st.selectbox("WRF Variable:", options, index)
+
+m = leafmap.Map(
+    locate_control=True, latlon_control=True,
+    draw_export=True, minimap_control=True,
+    center=[30, -40],
+    zoom=13
+
+)
+m.add_basemap("OpenTopoMap")
+
+with col1:
+
+    m.add_raster(
+        current_forecast_date,
+        bands=[1],
+        vmin=0,
+        vmax=100,
+        colormap='jet',
+        layer_name=Path(current_forecast_date).stem
+    )
+        
+    # folium does not support this
+    # m.add_time_slider(layers_dict, time_interval=1)
+    m.to_streamlit(height=700)

pages/3_🔥_Alaska_Ignition.py

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+import folium
+import streamlit as st
+from folium.plugins import Draw
+#from streamlit_folium import st_folium
+
+#st.set_page_config(
+#    page_title="streamlit-folium documentation: Draw Support",
+#    page_icon=":pencil:",
+#    layout="wide",
+#)
+
+"""
+# streamlit-folium: Draw Support
+Draw something below to see the return value back to Streamlit!
+"""
+
+#with st.echo(code_location="below"):
+
+#    m = folium.Map(location=[39.949610, -75.150282], zoom_start=5)
+#    Draw(export=True).add_to(m)
+
+#    c1, c2 = st.columns(2)
+#    with c1:
+#        output = st_folium(m, width=700, height=500)
+
+#    with c2:
+#        st.write(output)

requirements.txt

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+--find-links=https://girder.github.io/large_image_wheels GDAL
+geopandas
+leafmap
+owslib
+streamlit
+rioxarray
+streamlit-extras
+psutil
+localtileserver
+cartopy
+geopandas
+huggingface_hub