# check out https://solara.dev/ for documentation
# or https://github.com/widgetti/solara/
# And check out https://py.cafe/maartenbreddels for more examples
import solara
import ipyleaflet
from utils import handle_url_vis_change
from components import LayersControl
import json
LOCAL_TILE_SERVER_URL = "http://localhost:5000"
XYZ_URL = LOCAL_TILE_SERVER_URL + "/{z}/{x}/{y}"
with open('colormaps.json') as f:
available_colormaps = json.load(f)
colormaps = [key for key in available_colormaps]
colorbar_kwargs=dict(
length=250, # width in pixels
orientation='horizontal',
breadth=15, # How "thick" is the colorbar itself
padding=10,
axis_padding=6,
)
xmin, ymin, xmax, ymax = [37.35351562499985,29.382175075145366,38.759765624999844,30.145127183376204]
bounds = [[ymin, xmin], [ymax, xmax]]
natural_url = "http://localhost:5000/{z}/{x}/{y}?url=/data/hyperspectral1.tif&b=16&b=10&b=7&vmin=790&vmin=855&vmin=634&vmax=4178&vmax=2912&vmax=2197"
false_url = "http://localhost:5000/{z}/{x}/{y}?url=/data/hyperspectral1.tif&&b=27&b=20&b=11&vmin=1460&vmin=1427&vmin=1131&vmax=2898&vmax=3510&vmax=2475"
ndvi_url = "http://localhost:5000/{z}/{x}/{y}?url=/data/ndvi.tif&vmin=0&vmax=1&colormap=ylgnbu"
layer_defs = {
'Natural': dict(
base_url = f'{XYZ_URL}?url=/data/hyperspectral1.tif',
visible = solara.reactive(True),
opacity = solara.reactive(1.0),
url = solara.reactive(natural_url),
bounds = bounds
),
'NDVI': dict(
base_url = f'{XYZ_URL}?url=/data/ndvi.tif',
visible = solara.reactive(True),
opacity = solara.reactive(1.0),
url = solara.reactive(ndvi_url),
render_type = 'singleband',
singleband_options = dict(
colormap = solara.reactive("ylgnbu"),
vmin = solara.reactive(0.),
vmax = solara.reactive(1.)
),
bounds=bounds
),
'False color': dict(
base_url = f'{XYZ_URL}?url=/data/hyperspectral1.tif',
visible = solara.reactive(True),
opacity = solara.reactive(1.0),
url = solara.reactive(false_url),
render_type = 'multiband',
multiband_options= {
"red": dict(band=solara.reactive(27), vmin=solara.reactive(1460), vmax=solara.reactive(2898)),
"green": dict(band=solara.reactive(20), vmin=solara.reactive(1427), vmax=solara.reactive(3510)),
"blue": dict(band=solara.reactive(11), vmin=solara.reactive(1131), vmax=solara.reactive(2475))
},
dtype='uint16',
bounds=bounds,
lookup_index_by_band={f'B{n}':n for n in range(1,32)},
lookup_band_by_index={n:f'B{n}' for n in range(1,32)},
bands=list(range(1,32))
)
}
center = solara.reactive((30,38))
zoom = solara.reactive(12)
@solara.component
def Page():
layers = [
ipyleaflet.TileLayer.element(
url = layer['url'].value,
opacity = layer['opacity'].value,
visible = layer['visible'].value,
bounds = layer['bounds']
)
for _, layer in layer_defs.items()
]
with solara.Columns([1,2], # Give 1/3 of the width to the first column (Control), 2/3 to the second (Map)
style={'min-height': '700px'}):
LayersControl(layer_defs,
colormaps = ['ndvi', 'ylgnbu', 'greens'],
available_colormaps=available_colormaps,
colorbar_kwargs=colorbar_kwargs
)
ipyleaflet.Map.element(
scroll_wheel_zoom = True,
center = center.value,
on_center = center.set,
zoom = zoom.value,
on_zoom = zoom.set,
layers = layers,
)
Page()