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import plotly.express as px
import pandas as pd
import os
# import leafmap
import leafmap.kepler as leafmap
import solara
import solara.website
zoom = solara.reactive(2)
center = solara.reactive((44.428,11.9086))
config = {'version': 'v1',
'config': {'visState': {'filters': [{'dataId': ['data'],
'id': '58woufh3',
'name': ['ts'],
'type': 'range',
'value': [0, 1.68], ###time change here
'enlarged': False,
'plotType': 'histogram',
'animationWindow': 'free',
'yAxis': None,
'speed': 1}],
'layers': [{'id': 'lqz57i8',
'type': 'geojson',
'config': {
'color': [18, 147, 154],
'highlightColor': [252, 242, 26, 255],
'columns': {'geojson': '_geojson'},
'isVisible': True,
'visConfig': {'opacity': 0.8,
'strokeOpacity': 0.3,
'thickness': 1,
'strokeColor': [210, 0, 0],
'colorRange': {'name': 'Global Warming',
'type': 'sequential',
'category': 'Uber',
'colors': ['#5A1846',
'#900C3F',
'#C70039',
'#E3611C',
'#F1920E',
'#FFC300']},
'strokeColorRange': {'name': 'Ice And Fire',
'type': 'diverging',
'category': 'Uber',
'colors': ['#0198BD',
'#49E3CE',
'#E8FEB5',
'#FEEDB1',
'#FEAD54',
'#D50255']},
'radius': 10,
'sizeRange': [0, 10],
'radiusRange': [0, 50],
'heightRange': [0, 500],
'elevationScale': 5,
'enableElevationZoomFactor': True,
'stroked': True,
'filled': False,
'enable3d': False,
'wireframe': False},
'hidden': False,
'textLabel': [{'field': None,
'color': [255, 255, 255],
'size': 18,
'offset': [0, 0],
'anchor': 'start',
'alignment': 'center'}]},
'visualChannels': {'colorField': None,
'colorScale': 'quantile',
'strokeColorScale': 'quantize',
'sizeField': None,
'sizeScale': 'linear',
'heightField': None,
'heightScale': 'linear',
'radiusField': None,
'radiusScale': 'linear'}}],
'interactionConfig': {
'brush': {'size': 0.5, 'enabled': False},
'geocoder': {'enabled': False},
'coordinate': {'enabled': False}},
'layerBlending': 'additive',
'splitMaps': [],
'animationConfig': {'currentTime': None, 'speed': 1}},
'mapState': {'bearing': 0,
'dragRotate': False,
'latitude': 44.428,
'longitude': 11.9086,
'pitch': 0,
'zoom': 8.776177236597563,
'isSplit': False},
'mapStyle': {'styleType': 'dark',
'topLayerGroups': {},
'visibleLayerGroups': {'label': True,
'road': True,
'border': False,
'building': True,
'water': True,
'land': True,
'3d building': False},
'threeDBuildingColor': [9.665468314072013,
17.18305478057247,
31.1442867897876],
'mapStyles': {}}}}
class Map(leafmap.Map):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.center = kwargs['center']
self.updateMap()
def updateMap(self):
# Add the GeoJSON data to the map
point_feature = {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [self.center[1], self.center[0]]
},
"properties": {
"name": "Station",
"description": f"coordinates {self.center[1]}{self.center[0]}"
}
}
if point_feature:
geojson_data = {
"type": "FeatureCollection",
"features": [point_feature]
}
self.add_geojson(geojson_data, layer_name="Station")
self.config = config
@solara.component
def MapComponent(lat,lon):
m = Map(center=(lat,lon)) #44.433333°, 11.683333
m.element( # type: ignore
zoom=zoom.value,
on_zoom=zoom.set,
center=(lat,lon),
on_center=center.set,
scroll_wheel_zoom=True,
toolbar_ctrl=False,
data_ctrl=False,
)
m.config = config
@solara.component_vue("viewlistener.vue")
def ViewListener(view_data=None, on_view_data=None, children=[], style={}):
pass
@solara.component
def PlotComponent(data):
dpi = 100
view_data = solara.use_reactive({"width": "100%", "height": 400})
df = pd.read_csv(data)
df['data'] = pd.to_datetime(df['data'],format='%d/%m/%Y %H:%M:%S')
df['Week_Number'] = df['data'].dt.isocalendar().week
df_by_week = df.groupby("Week_Number")[['Real', '90%_forecast', '10%_forecast', 'average_forecast+']].mean().reset_index()
fig = px.line(df_by_week, x='Week_Number', y=['Real', '90%_forecast', '10%_forecast', 'average_forecast+'], title='Time Series 2020')
fig.update_xaxes(rangeslider_visible=True)
fig.update_layout(
autosize=True,
width=800,
height=650,
)
# solara.FigurePlotly(fig)
with ViewListener(view_data=view_data.value, on_view_data=view_data.set, style={"width": "100%", "height": "70vh"}):
solara.FigurePlotly(fig)
@solara.component
def Page():
icisk_logo_path = os.getcwd()+"/assets/icisk_logo_full.png"
geco_logo_path = os.getcwd()+"/assets/logo-sito-800x400.png"
open_station_1, set_open_station_1 = solara.use_state(False)
open_station_2, set_open_station_2 = solara.use_state(False)
def select_station_2():
set_map_loaded(False)
set_open_station_2(True)
set_open_station_1(False)
set_map_loaded(True)
def select_station_1():
set_map_loaded(False)
set_open_station_1(True)
set_open_station_2(False)
set_map_loaded(True)
with solara.ColumnsResponsive([3,4,4,1]):
solara.Image(icisk_logo_path,width="50%")
solara.Column()
solara.Column()
solara.Image(geco_logo_path,width="100%")
with solara.Column(style={"min-width": "500px"}):
size, set_size = solara.use_state(0)
map_loaded, set_map_loaded = solara.use_state(False)
continuous_update = solara.reactive(True)
with solara.Div() as main:
with solara.Card("LL2 Italy"):
with solara.ColumnsResponsive(1, large=10):
solara.Button("Station 1",
color="primary",
on_click=select_station_1)
solara.Button("Station 2",
color="primary",
style={"margin":10},
on_click=select_station_2)
with solara.ColumnsResponsive(3, large=6):
if map_loaded:
if open_station_1:
MapComponent(44.428,11.9086)
PlotComponent(os.getcwd()+"/data/dati_1.csv")
if open_station_2:
MapComponent(44.433333, 11.683333)
PlotComponent(os.getcwd()+"/data/dati_2.csv")
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