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import os
import leafmap.foliumap as leafmap
import streamlit as st
import palettable
@st.cache(allow_output_mutation=True)
def load_cog_list():
print(os.getcwd())
in_txt = os.path.join(os.getcwd(), "data/cog_files.txt")
with open(in_txt) as f:
return [line.strip() for line in f.readlines()[1:]]
@st.cache(allow_output_mutation=True)
def get_palettes():
palettes = dir(palettable.matplotlib)[:-16]
return ["matplotlib." + p for p in palettes]
def app():
st.title("Visualize Raster Datasets")
st.markdown(
"""
An interactive web app for visualizing local raster datasets and Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org)). The app was built using [streamlit](https://streamlit.io), [leafmap](https://leafmap.org), and [localtileserver](https://github.com/banesullivan/localtileserver).
"""
)
row1_col1, row1_col2 = st.columns([2, 1])
with row1_col1:
cog_list = load_cog_list()
cog = st.selectbox("Select a sample Cloud Opitmized GeoTIFF (COG)", cog_list)
with row1_col2:
empty = st.empty()
url = empty.text_input(
"Enter a HTTP URL to a Cloud Optimized GeoTIFF (COG)",
cog,
)
data = st.file_uploader("Upload a raster dataset", type=["tif", "img"])
if data:
url = empty.text_input(
"Enter a URL to a Cloud Optimized GeoTIFF (COG)",
"",
)
add_palette = st.checkbox("Add a color palette")
if add_palette:
palette = st.selectbox("Select a color palette", get_palettes())
else:
palette = None
submit = st.button("Submit")
m = leafmap.Map(latlon_control=False)
if submit:
if data or url:
try:
if data:
file_path = leafmap.save_data(data)
m.add_local_tile(file_path, palette=palette, debug=True)
elif url:
m.add_remote_tile(url, palette=palette, debug=True)
except Exception as e:
with row1_col2:
st.error("Work in progress. Try it again later.")
with row1_col1:
m.to_streamlit()
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