From 9ccb7287fedf228e970e4b0ce8f56bed54331e99 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Mon, 4 Nov 2024 18:48:02 +0100 Subject: [PATCH 01/12] updated map hovers --- dashboard/app.py | 73 ++++++++++++-------------------- dashboard/charts.py | 88 ++++++++++++++++++++++++++++++++++---- dashboard/constants.py | 96 +++++++++++++++++++++--------------------- 3 files changed, 157 insertions(+), 100 deletions(-) diff --git a/dashboard/app.py b/dashboard/app.py index 8261fa2..6b5e986 100644 --- a/dashboard/app.py +++ b/dashboard/app.py @@ -10,7 +10,7 @@ from my_data.datasets import get_useful_data from my_data.computed_datasets import merge_tables, calc_degrees_pollution, calc_vdl, count_lichen, count_lichen_per_species, count_species_per_observation, count_lichen_per_lichen_id, group_lichen_by_observation_and_thallus -from dashboard.charts import blank_figure, create_map, create_hist1_nb_species, create_hist2_vdl, create_hist3, create_pie_thallus, create_hist4, create_gauge_chart +from dashboard.charts import blank_figure, create_map_observations, create_map_species_present, create_hist1_nb_species, create_hist2_vdl, create_hist3, create_pie_thallus, create_hist4, create_gauge_chart from dashboard.constants import MAP_COLOR_PALETTES, BASE_COLOR_PALETTE, BODY_FONT_FAMILY, POSITIVE_GAUGE_COLOR_PALETTE, NEGATIVE_GAUGE_COLOR_PALETTE, GRID_STYLE, CARD_STYLE, MAP_STYLE, FLEX_COLUMNS_CONTAINER_STYLE from dashboard.utils.translations import get_translation @@ -79,57 +79,41 @@ def reset_date_range(n_clicks, min_date, max_date, date_range): Output('map-nb_species-vdl', 'figure'), Output('hist1-nb_species', 'figure'), Output('hist2-vdl', 'figure'), + Output('gauge-chart-toxitolerance', 'figure'), + Output('gauge-chart-eutrophication', 'figure'), + Output('gauge-chart-acidity', 'figure'), + Output('hist3-species', 'figure'), + Output('pie-thallus', 'figure'), Input('date-picker-range', 'value'), Input('map-column-select', 'value'), + Input('map-nb_species-vdl', 'clickData'), State('map-nb_species-vdl', 'relayoutData') ) -def update_dashboard_map(date_range, map_column_selected, relayoutData): +def update_dashboard(date_range, map_column_selected, clickData, relayoutData): if None in date_range: raise PreventUpdate start_date = pd.to_datetime(date_range[0]).date() end_date = pd.to_datetime(date_range[1]).date() - filtered_observation_df = merged_observation_df[(merged_observation_df['date_obs'] >= start_date) & (merged_observation_df['date_obs'] <= end_date)] + filtered_observation_df = merged_observation_df[ + (merged_observation_df['date_obs'] >= start_date) & + (merged_observation_df['date_obs'] <= end_date) + ] - if relayoutData and "map.zoom" in relayoutData and "map.center" in relayoutData: - current_zoom = relayoutData["map.zoom"] - current_center = relayoutData["map.center"] + if relayoutData and 'map.zoom' in relayoutData and 'map.center' in relayoutData: + current_zoom = relayoutData['map.zoom'] + current_center = relayoutData['map.center'] else: current_zoom = 4.8 - current_center = {"lat": filtered_observation_df['localisation_lat'].mean() + 0.5, "lon": filtered_observation_df['localisation_long'].mean()} - - fig_map = create_map(filtered_observation_df, map_column_selected, current_zoom, current_center) + current_center = {'lat': filtered_observation_df['localisation_lat'].mean() + 0.5, 'lon': filtered_observation_df['localisation_long'].mean()} + fig_map = create_map_observations(filtered_observation_df, map_column_selected, current_zoom, current_center) hist1_nb_species = create_hist1_nb_species(filtered_observation_df, None) hist2_vdl = create_hist2_vdl(filtered_observation_df, None) - return fig_map, hist1_nb_species, hist2_vdl - -# Second callback to update the dashboard based on observation click -@callback( - Output('gauge-chart-toxitolerance', 'figure'), - Output('gauge-chart-eutrophication', 'figure'), - Output('gauge-chart-acidity', 'figure'), - Output('hist3-species', 'figure'), - Output('pie-thallus', 'figure'), - Output('hist1-nb_species', 'figure', allow_duplicate=True), - Output('hist2-vdl', 'figure', allow_duplicate=True), - Input('map-nb_species-vdl', 'clickData'), - Input('date-picker-range', 'value'), - prevent_initial_call=True -) -def update_dashboard_observation(clickData, date_range): - if None in date_range or clickData is None: - raise PreventUpdate - - start_date = pd.to_datetime(date_range[0]).date() - end_date = pd.to_datetime(date_range[1]).date() - - filtered_observation_df = merged_observation_df[ - (merged_observation_df['date_obs'] >= start_date) & - (merged_observation_df['date_obs'] <= end_date) - ] + if clickData is None: + return fig_map, hist1_nb_species, hist2_vdl, blank_fig, blank_fig, blank_fig, blank_fig, blank_fig lat_clicked = clickData['points'][0]['lat'] lon_clicked = clickData['points'][0]['lon'] @@ -140,10 +124,9 @@ def update_dashboard_observation(clickData, date_range): ] if observation_clicked.empty: + print('No observation found') return ( - blank_fig, blank_fig, blank_fig, blank_fig, blank_fig, - create_hist1_nb_species(filtered_observation_df, None), - create_hist2_vdl(filtered_observation_df, None) + fig_map, hist1_nb_species, hist2_vdl, blank_fig, blank_fig, blank_fig, blank_fig, blank_fig ) observation_clicked = observation_clicked.iloc[0] @@ -168,11 +151,11 @@ def update_dashboard_observation(clickData, date_range): hist1_nb_species = create_hist1_nb_species(filtered_observation_df, nb_species_clicked) hist2_vdl = create_hist2_vdl(filtered_observation_df, vdl_clicked) - hist3_species = create_hist3(filtered_nb_lichen_per_lichen_id_df) pie_thallus = create_pie_thallus(filtered_grouped_lichen_by_observation_and_thallus_df) - return gauge_chart_toxitolerance, gauge_chart_eutrophication, gauge_chart_acidity, hist3_species, pie_thallus, hist1_nb_species, hist2_vdl + return fig_map, hist1_nb_species, hist2_vdl, gauge_chart_toxitolerance, gauge_chart_eutrophication, gauge_chart_acidity, hist3_species, pie_thallus + ## Dashboard on species tab # Define callback to update the bar chart based on selected species @@ -201,14 +184,14 @@ def update_dashboard2(species_id_selected, relayoutData): ) - if relayoutData and "mapbox.zoom" in relayoutData and "mapbox.center" in relayoutData: - current_zoom = relayoutData["mapbox.zoom"] - current_center = relayoutData["mapbox.center"] + if relayoutData and 'mapbox.zoom' in relayoutData and 'mapbox.center' in relayoutData: + current_zoom = relayoutData['mapbox.zoom'] + current_center = relayoutData['mapbox.center'] else: current_zoom = 4.8 - current_center = {"lat": observation_with_selected_species_col_df['localisation_lat'].mean() + 0.5, "lon": observation_with_selected_species_col_df['localisation_long'].mean()} + current_center = {'lat': observation_with_selected_species_col_df['localisation_lat'].mean() + 0.5, "lon": observation_with_selected_species_col_df['localisation_long'].mean()} - fig_map = create_map(observation_with_selected_species_col_df, 'selected_species_present', current_zoom, current_center) + fig_map = create_map_species_present(observation_with_selected_species_col_df, 'selected_species_present', current_zoom, current_center) # Filter on the selected species species_selected = merged_lichen_species_df[merged_lichen_species_df['species_id'] == species_id_selected].iloc[0] diff --git a/dashboard/charts.py b/dashboard/charts.py index f969941..918e351 100644 --- a/dashboard/charts.py +++ b/dashboard/charts.py @@ -19,16 +19,87 @@ def blank_figure(): return fig -def create_map(filtered_df, selected_map_column, zoom, center): +def create_map_observations(filtered_df, map_column_selected, zoom, center): + fig_map = px.scatter_map( filtered_df, lat="localisation_lat", lon="localisation_long", - color=selected_map_column, + color=map_column_selected, hover_name="date_obs", - hover_data=["localisation_lat", "localisation_long"], - map_style="open-street-map", - color_discrete_map=MAP_COLOR_PALETTES[selected_map_column], + hover_data={ + 'localisation_lat': True, + 'localisation_long': True, + 'nb_species': True, + 'nb_species_cat': False, + 'VDL': True, + 'VDL_cat': False, + 'deg_toxitolerance': True, + 'deg_toxitolerance_cat': False, + 'deg_eutrophication': True, + 'deg_eutrophication_cat': False, + 'deg_acidity': True, + 'deg_acidity_cat': False, + }, + labels={ + 'date_obs': 'Date d\'observation', + 'localisation_lat': 'Latitude ', + 'localisation_long': 'Longitude ', + 'nb_species': 'Nombre d\'espèces ', + 'nb_species_cat': 'Nombre d\'espèces ', + 'VDL': 'Valeur de Diversité Lichénique ', + 'VDL_cat': 'Valeur de Diversité Lichénique ', + 'deg_toxitolerance': 'Espèces toxitolérantes (%) ', + 'deg_toxitolerance_cat': 'Espèces toxitolérantes', + 'deg_eutrophication': 'Espèces eutrophes (%) ', + 'deg_eutrophication_cat': 'Espèces eutrophes ', + 'deg_acidity' : 'Espèces acidophiles (%) ', + 'deg_acidity_cat' : 'Espèces acidophiles', + }, + map_style='open-street-map', + color_discrete_map=MAP_COLOR_PALETTES[map_column_selected], + category_orders={map_column_selected: list(MAP_COLOR_PALETTES[map_column_selected].keys())}, # order the legend in the same order as the color palette + ) + + print(MAP_COLOR_PALETTES[map_column_selected]) + + fig_map.update_layout( + PLOTLY_LAYOUT, + margin=dict(l=0, r=0, t=0, b=0), + map_zoom=zoom, + map_center=center, + legend=dict( + x=0.02, # Position the legend on the map + y=0.02, + bgcolor='rgba(255, 255, 255, 0.7)', # Semi-transparent background + bordercolor='grey', + borderwidth=1.5, + ), + ) + + return fig_map + +def create_map_species_present(filtered_df, map_column_selected, zoom, center): + + fig_map = px.scatter_map( + filtered_df, + lat='localisation_lat', + lon='localisation_long', + color=map_column_selected, + hover_name='date_obs', + hover_data={ + 'localisation_lat': True, + 'localisation_long': True, + 'selected_species_present': True, + }, + labels={ + 'date_obs': 'Date d\'observation', + 'localisation_lat': 'Latitude', + 'localisation_long': 'Longitude', + 'selected_species_present': 'Espèce présente', + }, + map_style='open-street-map', + color_discrete_map=MAP_COLOR_PALETTES[map_column_selected], ) fig_map.update_layout( @@ -39,8 +110,8 @@ def create_map(filtered_df, selected_map_column, zoom, center): legend=dict( x=0.02, # Position the legend on the map y=0.02, - bgcolor="rgba(255, 255, 255, 0.7)", # Semi-transparent background - bordercolor="grey", + bgcolor='rgba(255, 255, 255, 0.7)', # Semi-transparent background + bordercolor='grey', borderwidth=1.5, ), ) @@ -48,6 +119,7 @@ def create_map(filtered_df, selected_map_column, zoom, center): return fig_map + def create_hist1_nb_species(observation_with_vdl_df, nb_species_clicked): hist1 = px.histogram( observation_with_vdl_df, @@ -57,7 +129,7 @@ def create_hist1_nb_species(observation_with_vdl_df, nb_species_clicked): hist1.update_layout( **PLOTLY_LAYOUT, - xaxis_title="Nombre d'espèces", + xaxis_title="Nombre d\'espèces", yaxis_title="Nombre de sites", yaxis_showgrid=True, bargap=0.1, diff --git a/dashboard/constants.py b/dashboard/constants.py index ef5bda9..394ea92 100644 --- a/dashboard/constants.py +++ b/dashboard/constants.py @@ -1,34 +1,36 @@ -BODY_FONT_FAMILY = '"Source Sans Pro", sans-serif' -PLOTLY_FONT_COLOR = "#868e96" # Grey +from collections import OrderedDict + +BODY_FONT_FAMILY = "'Source Sans Pro', sans-serif" +PLOTLY_FONT_COLOR = '#868e96' # Grey # Generated with https://omatsuri.app/color-shades-generator BASE_COLOR_PALETTE = [ - "#387CA6", - "#4A86AB", - "#608FAD", - "#799AAF", - "#90A7B5", - "#A6B6BF", - "#BDC6CC", + '#387CA6', + '#4A86AB', + '#608FAD', + '#799AAF', + '#90A7B5', + '#A6B6BF', + '#BDC6CC', ] PASTEL_COLOR_PALETTE = [ - "#c3d7e4", - "#c8dae5", - "#cfdde6", - "#d6e0e7", - "#dde4e8", - "#e4e9eb", - "#ebedef", + '#c3d7e4', + '#c8dae5', + '#cfdde6', + '#d6e0e7', + '#dde4e8', + '#e4e9eb', + '#ebedef', ] # Color palette for negative gauge, from green to red NEGATIVE_GAUGE_COLOR_PALETTE = [ - "rgba(34, 139, 34, 1)", - "rgba(255, 215, 0, 1)", - "rgba(255, 140, 0, 1)", - "rgba(255, 69, 0, 1)" + 'rgba(34, 139, 34, 1)', + 'rgba(255, 215, 0, 1)', + 'rgba(255, 140, 0, 1)', + 'rgba(255, 69, 0, 1)' ] # Color palette for positive gauge, from red to green @@ -37,57 +39,57 @@ SQUARE_COLUMNS = [f'sq{i}' for i in range(1, 6)] ORIENTATIONS_MAPPING = { - "N": "Nord", - "E": "Est", - "S": "Sud", - "O": "Ouest" + 'N': 'Nord', + 'E': 'Est', + 'S': 'Sud', + 'O': 'Ouest' } ORIENTATIONS = list(ORIENTATIONS_MAPPING.keys()) MAP_COLOR_PALETTES = { - "nb_species_cat": {'<7': 'red', '7-10': 'orange', '11-14': 'yellow', '>14': 'green'}, - "VDL_cat": {'<25': 'red', '25-50': 'orange', '50-75': 'yellow', '>75': 'green'}, - "deg_acidity_cat": {'0-25%': 'red', '25-50%': 'orange', '50-75%': 'yellow', '75-100%': 'green'}, - "deg_eutrophication_cat": {'0-25%': 'green', '25-50%': 'yellow', '50-75%': 'orange', '75-100%': 'red'}, - "deg_toxitolerance_cat": {'0-25%': 'green', '25-50%': 'yellow', '50-75%': 'orange', '75-100%': 'red'}, - "selected_species_present": {True: BASE_COLOR_PALETTE[0], False: BASE_COLOR_PALETTE[-1]}, + 'nb_species_cat': OrderedDict([('<7', 'red'), ('7-10', 'orange'), ('11-14', 'yellow'), ('>14', 'green')]), + 'VDL_cat': OrderedDict([('<25', 'red'), ('25-50', 'orange'), ('50-75', 'yellow'), ('>75', 'green')]), + 'deg_acidity_cat': OrderedDict([('0-25%', 'red'), ('25-50%', 'orange'), ('50-75%', 'yellow'), ('75-100%', 'green')]), + 'deg_eutrophication_cat': OrderedDict([('0-25%', 'green'), ('25-50%', 'yellow'), ('50-75%', 'orange'), ('75-100%', 'red')]), + 'deg_toxitolerance_cat': OrderedDict([('0-25%', 'green'), ('25-50%', 'yellow'), ('50-75%', 'orange'), ('75-100%', 'red')]), + 'selected_species_present': OrderedDict([(True, BASE_COLOR_PALETTE[0]), (False, BASE_COLOR_PALETTE[-1])]), } # Constants for common styles -FLEX_COLUMNS_CONTAINER_STYLE = {"display": "flex", "gap": "16px"} -GRID_STYLE = {"gutter": "md", "align": "stretch"} +FLEX_COLUMNS_CONTAINER_STYLE = {'display': 'flex', 'gap': '16px'} +GRID_STYLE = {'gutter': 'md', 'align': 'stretch'} CARD_STYLE = { - "pt":"xs", - "pb": "cs", - "shadow": "sm", - "withBorder": True + 'pt':'xs', + 'pb': 'cs', + 'shadow': 'sm', + 'withBorder': True } MAP_STYLE = { - "withBorder": True, - "p": 0, + 'withBorder': True, + 'p': 0, } # Define the plotly style for hover labels PLOTLY_HOVER_STYLE = { - "font": dict( + 'font': dict( family=BODY_FONT_FAMILY, ) } # Define the plotly layout for all plots PLOTLY_LAYOUT = { - "font": dict(family=BODY_FONT_FAMILY, - color="grey", + 'font': dict(family=BODY_FONT_FAMILY, + color='grey', #color=PLOTLY_FONT_COLOR ), - "template": "plotly_white", - "margin": dict(l=0, r=0, t=10, b=10), - "barcornerradius": "30%", - "hoverlabel": PLOTLY_HOVER_STYLE, - "plot_bgcolor": "rgba(0, 0, 0, 0)", # Transparent plot background - "paper_bgcolor": "rgba(0, 0, 0, 0)", # Transparent paper background + 'template': 'plotly_white', + 'margin': dict(l=0, r=0, t=10, b=10), + 'barcornerradius': '30%', + 'hoverlabel': PLOTLY_HOVER_STYLE, + 'plot_bgcolor': 'rgba(0, 0, 0, 0)', # Transparent plot background + 'paper_bgcolor': 'rgba(0, 0, 0, 0)', # Transparent paper background } From d132db46cb6ce9d652cc920c05a779b5c7bd26e6 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Mon, 4 Nov 2024 18:56:04 +0100 Subject: [PATCH 02/12] updated map hovers --- dashboard/charts.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/dashboard/charts.py b/dashboard/charts.py index 918e351..d89972f 100644 --- a/dashboard/charts.py +++ b/dashboard/charts.py @@ -23,10 +23,10 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center): fig_map = px.scatter_map( filtered_df, - lat="localisation_lat", - lon="localisation_long", + lat='localisation_lat', + lon='localisation_long', color=map_column_selected, - hover_name="date_obs", + hover_name='date_obs', hover_data={ 'localisation_lat': True, 'localisation_long': True, From d65bc0c39b4eb0375c3b61be1305d9d272f7f138 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Tue, 5 Nov 2024 17:58:48 +0100 Subject: [PATCH 03/12] highlighting of the selected site on the map + update map hover info --- dashboard/app.py | 2 ++ dashboard/charts.py | 21 +++++++++++++++++++-- 2 files changed, 21 insertions(+), 2 deletions(-) diff --git a/dashboard/app.py b/dashboard/app.py index 6b5e986..b7e0d60 100644 --- a/dashboard/app.py +++ b/dashboard/app.py @@ -145,6 +145,8 @@ def update_dashboard(date_range, map_column_selected, clickData, relayoutData): grouped_lichen_by_observation_and_thallus_df['observation_id'] == observation_id_clicked ] + fig_map = create_map_observations(filtered_observation_df, map_column_selected, current_zoom, current_center, observation_clicked) + gauge_chart_toxitolerance = create_gauge_chart(deg_toxitolerance_clicked, intervals=[0, 25, 50, 75, 100], color_scale=NEGATIVE_GAUGE_COLOR_PALETTE) gauge_chart_acidity = create_gauge_chart(deg_acidity_clicked, intervals=[0, 25, 50, 75, 100], color_scale=POSITIVE_GAUGE_COLOR_PALETTE) gauge_chart_eutrophication = create_gauge_chart(deg_eutrophication_clicked, intervals=[0, 25, 50, 75, 100], color_scale=NEGATIVE_GAUGE_COLOR_PALETTE) diff --git a/dashboard/charts.py b/dashboard/charts.py index d89972f..9ec2a62 100644 --- a/dashboard/charts.py +++ b/dashboard/charts.py @@ -19,7 +19,7 @@ def blank_figure(): return fig -def create_map_observations(filtered_df, map_column_selected, zoom, center): +def create_map_observations(filtered_df, map_column_selected, zoom, center, observation_clicked=None): fig_map = px.scatter_map( filtered_df, @@ -61,7 +61,22 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center): category_orders={map_column_selected: list(MAP_COLOR_PALETTES[map_column_selected].keys())}, # order the legend in the same order as the color palette ) - print(MAP_COLOR_PALETTES[map_column_selected]) + if observation_clicked is not None: + + observation_clicked_color = MAP_COLOR_PALETTES[map_column_selected][observation_clicked[map_column_selected]] + + fig_map.add_trace( + go.Scattermap( + lat=[observation_clicked['localisation_lat']], + lon=[observation_clicked['localisation_long']], + mode='markers', + marker=go.scattermap.Marker( + size=15, + color=observation_clicked_color, + ), + hoverinfo='skip', # Hide the hover info + ) + ) fig_map.update_layout( PLOTLY_LAYOUT, @@ -77,6 +92,8 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center): ), ) + + return fig_map def create_map_species_present(filtered_df, map_column_selected, zoom, center): From 062141fb9e4a23f876dac496a2316a9d2b01c4d1 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Tue, 5 Nov 2024 18:39:31 +0100 Subject: [PATCH 04/12] added map style selector --- dashboard/app.py | 61 ++++++++++++++++++++++++++++++++++++++++----- dashboard/charts.py | 15 ++++++----- 2 files changed, 62 insertions(+), 14 deletions(-) diff --git a/dashboard/app.py b/dashboard/app.py index b7e0d60..10a0ac9 100644 --- a/dashboard/app.py +++ b/dashboard/app.py @@ -86,10 +86,11 @@ def reset_date_range(n_clicks, min_date, max_date, date_range): Output('pie-thallus', 'figure'), Input('date-picker-range', 'value'), Input('map-column-select', 'value'), + Input('map-style-dropdown', 'value'), Input('map-nb_species-vdl', 'clickData'), State('map-nb_species-vdl', 'relayoutData') ) -def update_dashboard(date_range, map_column_selected, clickData, relayoutData): +def update_dashboard(date_range, map_column_selected, map_style, clickData, relayoutData): if None in date_range: raise PreventUpdate @@ -108,7 +109,7 @@ def update_dashboard(date_range, map_column_selected, clickData, relayoutData): current_zoom = 4.8 current_center = {'lat': filtered_observation_df['localisation_lat'].mean() + 0.5, 'lon': filtered_observation_df['localisation_long'].mean()} - fig_map = create_map_observations(filtered_observation_df, map_column_selected, current_zoom, current_center) + fig_map = create_map_observations(filtered_observation_df, map_column_selected, current_zoom, current_center, map_style) hist1_nb_species = create_hist1_nb_species(filtered_observation_df, None) hist2_vdl = create_hist2_vdl(filtered_observation_df, None) @@ -145,7 +146,7 @@ def update_dashboard(date_range, map_column_selected, clickData, relayoutData): grouped_lichen_by_observation_and_thallus_df['observation_id'] == observation_id_clicked ] - fig_map = create_map_observations(filtered_observation_df, map_column_selected, current_zoom, current_center, observation_clicked) + fig_map = create_map_observations(filtered_observation_df, map_column_selected, current_zoom, current_center, map_style, observation_clicked) gauge_chart_toxitolerance = create_gauge_chart(deg_toxitolerance_clicked, intervals=[0, 25, 50, 75, 100], color_scale=NEGATIVE_GAUGE_COLOR_PALETTE) gauge_chart_acidity = create_gauge_chart(deg_acidity_clicked, intervals=[0, 25, 50, 75, 100], color_scale=POSITIVE_GAUGE_COLOR_PALETTE) @@ -172,9 +173,10 @@ def update_dashboard(date_range, map_column_selected, clickData, relayoutData): Output(component_id='species-thallus', component_property='children'), Output(component_id='species-rarity', component_property='children'), Input(component_id='species-dropdown', component_property='value'), + Input('map-species-style-dropdown', 'value'), State('map-species_present', 'relayoutData') ) -def update_dashboard2(species_id_selected, relayoutData): +def update_dashboard2(species_id_selected, map_style, relayoutData): if isinstance(species_id_selected, str): species_id_selected = int(species_id_selected) @@ -185,7 +187,6 @@ def update_dashboard2(species_id_selected, relayoutData): lichen_df.loc[lichen_df['species_id'] == species_id_selected, 'observation_id'] ) - if relayoutData and 'mapbox.zoom' in relayoutData and 'mapbox.center' in relayoutData: current_zoom = relayoutData['mapbox.zoom'] current_center = relayoutData['mapbox.center'] @@ -193,7 +194,7 @@ def update_dashboard2(species_id_selected, relayoutData): current_zoom = 4.8 current_center = {'lat': observation_with_selected_species_col_df['localisation_lat'].mean() + 0.5, "lon": observation_with_selected_species_col_df['localisation_long'].mean()} - fig_map = create_map_species_present(observation_with_selected_species_col_df, 'selected_species_present', current_zoom, current_center) + fig_map = create_map_species_present(observation_with_selected_species_col_df, 'selected_species_present', current_zoom, current_center, map_style) # Filter on the selected species species_selected = merged_lichen_species_df[merged_lichen_species_df['species_id'] == species_id_selected].iloc[0] @@ -335,6 +336,30 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): children=[ dmc.Card( children=[ + html.Div( + dcc.Dropdown( + id='map-style-dropdown', + options=[ + {'label': 'OpenStreetMap', + 'value': 'open-street-map'}, + {'label': 'Satellite', + 'value': 'satellite'}, + {'label': 'Satellite with streets', + 'value': 'satellite-streets'}, + {'label': 'Streets', + 'value': 'streets'}, + ], + value='open-street-map' # Default value + ), + style={ + 'position': 'absolute', + 'top': '15px', + 'left': '15px', + 'zIndex': '1000', + 'width': '200px', + 'opacity': '0.8' + } + ), dcc.Graph( id="map-nb_species-vdl", figure=blank_fig, @@ -565,6 +590,30 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): ), dmc.Card( children=[ + html.Div( + dcc.Dropdown( + id='map-species-style-dropdown', + options=[ + {'label': 'OpenStreetMap', + 'value': 'open-street-map'}, + {'label': 'Satellite', + 'value': 'satellite'}, + {'label': 'Satellite with streets', + 'value': 'satellite-streets'}, + {'label': 'Streets', + 'value': 'streets'}, + ], + value='open-street-map' # Default value + ), + style={ + 'position': 'absolute', + 'top': '15px', + 'left': '15px', + 'zIndex': '1000', + 'width': '200px', + 'opacity': '0.8' + } + ), dcc.Graph( id="map-species_present", figure=blank_fig, diff --git a/dashboard/charts.py b/dashboard/charts.py index 9ec2a62..3ee5cc2 100644 --- a/dashboard/charts.py +++ b/dashboard/charts.py @@ -19,7 +19,7 @@ def blank_figure(): return fig -def create_map_observations(filtered_df, map_column_selected, zoom, center, observation_clicked=None): +def create_map_observations(filtered_df, map_column_selected, zoom, center, map_style, observation_clicked=None): fig_map = px.scatter_map( filtered_df, @@ -56,7 +56,7 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, obse 'deg_acidity' : 'Espèces acidophiles (%) ', 'deg_acidity_cat' : 'Espèces acidophiles', }, - map_style='open-street-map', + map_style=map_style, color_discrete_map=MAP_COLOR_PALETTES[map_column_selected], category_orders={map_column_selected: list(MAP_COLOR_PALETTES[map_column_selected].keys())}, # order the legend in the same order as the color palette ) @@ -71,10 +71,11 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, obse lon=[observation_clicked['localisation_long']], mode='markers', marker=go.scattermap.Marker( - size=15, + size=13, color=observation_clicked_color, ), - hoverinfo='skip', # Hide the hover info + hoverinfo='skip', # Hide the hover info, to use the one from the main trace + showlegend=False ) ) @@ -92,11 +93,9 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, obse ), ) - - return fig_map -def create_map_species_present(filtered_df, map_column_selected, zoom, center): +def create_map_species_present(filtered_df, map_column_selected, zoom, center, map_style): fig_map = px.scatter_map( filtered_df, @@ -115,7 +114,7 @@ def create_map_species_present(filtered_df, map_column_selected, zoom, center): 'localisation_long': 'Longitude', 'selected_species_present': 'Espèce présente', }, - map_style='open-street-map', + map_style=map_style, color_discrete_map=MAP_COLOR_PALETTES[map_column_selected], ) From b5c6dd28676983307fe2d3a87f7c641c9f789d46 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Tue, 5 Nov 2024 18:49:18 +0100 Subject: [PATCH 05/12] updated map select dropdown style --- dashboard/app.py | 62 +++++++++++++++++++++++---------------------- dashboard/charts.py | 4 +-- 2 files changed, 34 insertions(+), 32 deletions(-) diff --git a/dashboard/app.py b/dashboard/app.py index 10a0ac9..60bc55e 100644 --- a/dashboard/app.py +++ b/dashboard/app.py @@ -336,21 +336,22 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): children=[ dmc.Card( children=[ - html.Div( - dcc.Dropdown( - id='map-style-dropdown', - options=[ - {'label': 'OpenStreetMap', - 'value': 'open-street-map'}, - {'label': 'Satellite', - 'value': 'satellite'}, - {'label': 'Satellite with streets', - 'value': 'satellite-streets'}, - {'label': 'Streets', - 'value': 'streets'}, - ], - value='open-street-map' # Default value - ), + dmc.Select( + id='map-style-dropdown', + value='open-street-map', # Default value + data=[ + {'label': 'OpenStreetMap', + 'value': 'open-street-map'}, + {'label': 'Satellite', + 'value': 'satellite'}, + {'label': 'Satellite with streets', + 'value': 'satellite-streets'}, + {'label': 'Streets', + 'value': 'streets'}, + ], + clearable=False, + allowDeselect=False, + searchable=False, style={ 'position': 'absolute', 'top': '15px', @@ -590,21 +591,22 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): ), dmc.Card( children=[ - html.Div( - dcc.Dropdown( - id='map-species-style-dropdown', - options=[ - {'label': 'OpenStreetMap', - 'value': 'open-street-map'}, - {'label': 'Satellite', - 'value': 'satellite'}, - {'label': 'Satellite with streets', - 'value': 'satellite-streets'}, - {'label': 'Streets', - 'value': 'streets'}, - ], - value='open-street-map' # Default value - ), + dmc.Select( + id='map-species-style-dropdown', + value='open-street-map', # Default value + data=[ + {'label': 'OpenStreetMap', + 'value': 'open-street-map'}, + {'label': 'Satellite', + 'value': 'satellite'}, + {'label': 'Satellite with streets', + 'value': 'satellite-streets'}, + {'label': 'Streets', + 'value': 'streets'}, + ], + clearable=False, + allowDeselect=False, + searchable=False, style={ 'position': 'absolute', 'top': '15px', diff --git a/dashboard/charts.py b/dashboard/charts.py index 3ee5cc2..b950c40 100644 --- a/dashboard/charts.py +++ b/dashboard/charts.py @@ -87,7 +87,7 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, map_ legend=dict( x=0.02, # Position the legend on the map y=0.02, - bgcolor='rgba(255, 255, 255, 0.7)', # Semi-transparent background + bgcolor='rgba(255, 255, 255, 0.8)', # Semi-transparent background bordercolor='grey', borderwidth=1.5, ), @@ -126,7 +126,7 @@ def create_map_species_present(filtered_df, map_column_selected, zoom, center, m legend=dict( x=0.02, # Position the legend on the map y=0.02, - bgcolor='rgba(255, 255, 255, 0.7)', # Semi-transparent background + bgcolor='rgba(255, 255, 255, 0.8)', # Semi-transparent background bordercolor='grey', borderwidth=1.5, ), From da56dff9aedbaf058842d2f025ed35fe7a068a59 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Tue, 5 Nov 2024 19:17:53 +0100 Subject: [PATCH 06/12] updated hover labels for maps --- dashboard/assets/locale/fr.json | 6 ++- dashboard/charts.py | 76 ++++++++++++++++----------------- 2 files changed, 43 insertions(+), 39 deletions(-) diff --git a/dashboard/assets/locale/fr.json b/dashboard/assets/locale/fr.json index 59e505b..5f2cc79 100644 --- a/dashboard/assets/locale/fr.json +++ b/dashboard/assets/locale/fr.json @@ -46,5 +46,9 @@ "sensitive": "sensible", "intermediate": "intermédiaire", "tolerant": "tolérant", - "resistant": "résistant" + "resistant": "résistant", + "True": "oui", + "False": "non", + "true": "oui", + "false": "non" } diff --git a/dashboard/charts.py b/dashboard/charts.py index b950c40..e2c96f6 100644 --- a/dashboard/charts.py +++ b/dashboard/charts.py @@ -1,7 +1,8 @@ +import pandas as pd import plotly.express as px import plotly.graph_objects as go from dashboard.constants import BASE_COLOR_PALETTE, PASTEL_COLOR_PALETTE, PLOTLY_LAYOUT, MAP_COLOR_PALETTES - +from dashboard.utils.translations import get_translation """ Create a blank figure for initialisation @@ -21,44 +22,36 @@ def blank_figure(): def create_map_observations(filtered_df, map_column_selected, zoom, center, map_style, observation_clicked=None): + filtered_df['date_obs'] = pd.to_datetime(filtered_df['date_obs']).dt.strftime('%d/%m/%Y') + fig_map = px.scatter_map( filtered_df, lat='localisation_lat', lon='localisation_long', color=map_column_selected, hover_name='date_obs', - hover_data={ - 'localisation_lat': True, - 'localisation_long': True, - 'nb_species': True, - 'nb_species_cat': False, - 'VDL': True, - 'VDL_cat': False, - 'deg_toxitolerance': True, - 'deg_toxitolerance_cat': False, - 'deg_eutrophication': True, - 'deg_eutrophication_cat': False, - 'deg_acidity': True, - 'deg_acidity_cat': False, - }, - labels={ - 'date_obs': 'Date d\'observation', - 'localisation_lat': 'Latitude ', - 'localisation_long': 'Longitude ', - 'nb_species': 'Nombre d\'espèces ', - 'nb_species_cat': 'Nombre d\'espèces ', - 'VDL': 'Valeur de Diversité Lichénique ', - 'VDL_cat': 'Valeur de Diversité Lichénique ', - 'deg_toxitolerance': 'Espèces toxitolérantes (%) ', + labels={ # Rename the columns for the legend + 'nb_species_cat': 'Nombre d\'espèces', + 'VDL_cat': 'Valeur de Diversité Lichénique', 'deg_toxitolerance_cat': 'Espèces toxitolérantes', - 'deg_eutrophication': 'Espèces eutrophes (%) ', - 'deg_eutrophication_cat': 'Espèces eutrophes ', - 'deg_acidity' : 'Espèces acidophiles (%) ', - 'deg_acidity_cat' : 'Espèces acidophiles', + 'deg_eutrophication_cat': 'Espèces eutrophes', + 'deg_acidity_cat': 'Espèces acidophiles', }, + custom_data=['nb_species', 'VDL', 'deg_toxitolerance', 'deg_eutrophication', 'deg_acidity'], map_style=map_style, color_discrete_map=MAP_COLOR_PALETTES[map_column_selected], - category_orders={map_column_selected: list(MAP_COLOR_PALETTES[map_column_selected].keys())}, # order the legend in the same order as the color palette + category_orders={map_column_selected: list(MAP_COLOR_PALETTES[map_column_selected].keys())}, # order the legend in the same order as the color palette + ) + + fig_map.update_traces( + hovertemplate='Date d\'observation: %{hovertext}
' + 'Latitude: %{lat}
' + 'Longitude: %{lon}
' + 'Nombre d\'espèces: %{customdata[0]}
' + 'Valeur de Diversité Lichénique: %{customdata[1]:.1f}
' + 'Espèces toxitolérantes: %{customdata[2]:.1%}
' + 'Espèces eutrophes: %{customdata[3]:.1%}
' + 'Espèces acidophiles: %{customdata[4]:.1%}
' ) if observation_clicked is not None: @@ -97,27 +90,34 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, map_ def create_map_species_present(filtered_df, map_column_selected, zoom, center, map_style): + filtered_df['date_obs'] = pd.to_datetime(filtered_df['date_obs']).dt.strftime('%d/%m/%Y') + filtered_df['selected_species_present_translated'] = filtered_df['selected_species_present'].apply(lambda x: get_translation(str(x))) + fig_map = px.scatter_map( filtered_df, lat='localisation_lat', lon='localisation_long', color=map_column_selected, hover_name='date_obs', - hover_data={ - 'localisation_lat': True, - 'localisation_long': True, - 'selected_species_present': True, - }, - labels={ - 'date_obs': 'Date d\'observation', - 'localisation_lat': 'Latitude', - 'localisation_long': 'Longitude', + labels={ # Rename the columns for the legend 'selected_species_present': 'Espèce présente', }, + custom_data=['selected_species_present_translated'], map_style=map_style, color_discrete_map=MAP_COLOR_PALETTES[map_column_selected], ) + fig_map.update_traces( + hovertemplate='Date d\'observation: %{hovertext}
' + + 'Latitude: %{lat}
' + + 'Longitude: %{lon}
' + + 'Espèce présente: %{customdata[0]}
' + ) + + # Apply the translated names to the legend + for trace in fig_map.data: + trace.name = get_translation(trace.name) + fig_map.update_layout( PLOTLY_LAYOUT, margin=dict(l=0, r=0, t=0, b=0), From fcb72dae0ea71a2298e1966feae5c8d54c0137fd Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Wed, 6 Nov 2024 11:37:56 +0100 Subject: [PATCH 07/12] added adress locator, translation for charts and hover data --- dashboard/app.py | 406 +++++++++++++++++--------------- dashboard/assets/locale/en.json | 49 +++- dashboard/assets/locale/fr.json | 29 ++- dashboard/charts.py | 184 +++++++-------- dashboard/constants.py | 10 +- dashboard/utils/location.py | 16 ++ dashboard/utils/translations.py | 4 +- 7 files changed, 401 insertions(+), 297 deletions(-) create mode 100644 dashboard/utils/location.py diff --git a/dashboard/app.py b/dashboard/app.py index 60bc55e..b52d113 100644 --- a/dashboard/app.py +++ b/dashboard/app.py @@ -13,16 +13,19 @@ from dashboard.charts import blank_figure, create_map_observations, create_map_species_present, create_hist1_nb_species, create_hist2_vdl, create_hist3, create_pie_thallus, create_hist4, create_gauge_chart from dashboard.constants import MAP_COLOR_PALETTES, BASE_COLOR_PALETTE, BODY_FONT_FAMILY, POSITIVE_GAUGE_COLOR_PALETTE, NEGATIVE_GAUGE_COLOR_PALETTE, GRID_STYLE, CARD_STYLE, MAP_STYLE, FLEX_COLUMNS_CONTAINER_STYLE from dashboard.utils.translations import get_translation +from dashboard.utils.location import get_address_from_lat_lon -_dash_renderer._set_react_version("18.2.0") +_dash_renderer._set_react_version('18.2.0') # Set the language (could be dynamically set based on user preference) -lang = 'fr' +lang = 'fr' # allowed values: 'en', 'fr' # Get the datasets -print(get_translation('fetching_data', lang)) +print("Fetching data...") lichen_df, merged_lichen_species_df, observation_df, table_df, tree_df = get_useful_data() +# Format the date for the hover labels +observation_df['date_obs_formatted'] = pd.to_datetime(observation_df['date_obs']).dt.strftime('%d/%m/%Y') # For tab on observations table_with_nb_lichen_df = count_lichen(table_df) @@ -52,13 +55,12 @@ blank_fig = blank_figure() # Initialize the options and selections -date_range = [merged_observation_df["date_obs"].min(), datetime.now().date()] +date_range = [merged_observation_df['date_obs'].min(), datetime.now().date()] map_column_selected = list(MAP_COLOR_PALETTES.keys())[0] - # Convert DataFrame to list of dictionaries -species_options = [{"value": str(row["species_id"]), "label": row["name"]} for _, row in merged_lichen_species_df.sort_values(by="name").iterrows()] -species_id_selected = species_options[0]["value"] # Default to the first species ID +species_options = [{'value': str(row['species_id']), 'label': row['name']} for _, row in merged_lichen_species_df.sort_values(by='name').iterrows()] +species_id_selected = species_options[0]['value'] # Default to the first species ID # Callback to reset the date range @callback( @@ -77,6 +79,8 @@ def reset_date_range(n_clicks, min_date, max_date, date_range): # First callback to update the dashboard based on date and map selection @callback( Output('map-nb_species-vdl', 'figure'), + Output('selected-address-badge', 'children'), + Output('selected-address-badge', 'style'), Output('hist1-nb_species', 'figure'), Output('hist2-vdl', 'figure'), Output('gauge-chart-toxitolerance', 'figure'), @@ -109,12 +113,15 @@ def update_dashboard(date_range, map_column_selected, map_style, clickData, rela current_zoom = 4.8 current_center = {'lat': filtered_observation_df['localisation_lat'].mean() + 0.5, 'lon': filtered_observation_df['localisation_long'].mean()} - fig_map = create_map_observations(filtered_observation_df, map_column_selected, current_zoom, current_center, map_style) - hist1_nb_species = create_hist1_nb_species(filtered_observation_df, None) - hist2_vdl = create_hist2_vdl(filtered_observation_df, None) + fig_map = create_map_observations(filtered_observation_df, map_column_selected, current_zoom, current_center, map_style, lang=lang, observation_clicked=None) + hist1_nb_species = create_hist1_nb_species(filtered_observation_df, None, lang=lang) + hist2_vdl = create_hist2_vdl(filtered_observation_df, None, lang=lang) if clickData is None: - return fig_map, hist1_nb_species, hist2_vdl, blank_fig, blank_fig, blank_fig, blank_fig, blank_fig + selected_adress = '' + selected_adress_style = {'display': 'none'} + + return fig_map, selected_adress, selected_adress_style, hist1_nb_species, hist2_vdl, blank_fig, blank_fig, blank_fig, blank_fig, blank_fig lat_clicked = clickData['points'][0]['lat'] lon_clicked = clickData['points'][0]['lon'] @@ -126,8 +133,12 @@ def update_dashboard(date_range, map_column_selected, map_style, clickData, rela if observation_clicked.empty: print('No observation found') + + selected_adress = '' + selected_adress_style = {'display': 'none'} + return ( - fig_map, hist1_nb_species, hist2_vdl, blank_fig, blank_fig, blank_fig, blank_fig, blank_fig + fig_map, selected_adress, selected_adress_style, hist1_nb_species, hist2_vdl, blank_fig, blank_fig, blank_fig, blank_fig, blank_fig ) observation_clicked = observation_clicked.iloc[0] @@ -138,6 +149,18 @@ def update_dashboard(date_range, map_column_selected, map_style, clickData, rela deg_acidity_clicked = observation_clicked['deg_acidity'] deg_eutrophication_clicked = observation_clicked['deg_eutrophication'] + # Get the location name and address from the latitude and longitude + selected_adress = get_address_from_lat_lon( + observation_clicked['localisation_lat'], observation_clicked['localisation_long'], language=lang) + + if selected_adress: + selected_adress_style = {'display': 'block'} + else: + selected_adress = '' + selected_adress_style = {'display': 'none'} + + + filtered_nb_lichen_per_lichen_id_df = nb_lichen_per_lichen_id_df[ nb_lichen_per_lichen_id_df['observation_id'] == observation_id_clicked ] @@ -146,18 +169,18 @@ def update_dashboard(date_range, map_column_selected, map_style, clickData, rela grouped_lichen_by_observation_and_thallus_df['observation_id'] == observation_id_clicked ] - fig_map = create_map_observations(filtered_observation_df, map_column_selected, current_zoom, current_center, map_style, observation_clicked) + fig_map = create_map_observations(filtered_observation_df, map_column_selected, current_zoom, current_center, map_style, lang=lang, observation_clicked=observation_clicked) - gauge_chart_toxitolerance = create_gauge_chart(deg_toxitolerance_clicked, intervals=[0, 25, 50, 75, 100], color_scale=NEGATIVE_GAUGE_COLOR_PALETTE) - gauge_chart_acidity = create_gauge_chart(deg_acidity_clicked, intervals=[0, 25, 50, 75, 100], color_scale=POSITIVE_GAUGE_COLOR_PALETTE) - gauge_chart_eutrophication = create_gauge_chart(deg_eutrophication_clicked, intervals=[0, 25, 50, 75, 100], color_scale=NEGATIVE_GAUGE_COLOR_PALETTE) + gauge_chart_toxitolerance = create_gauge_chart(deg_toxitolerance_clicked, intervals=[0, 25, 50, 75, 100], color_scale=NEGATIVE_GAUGE_COLOR_PALETTE, lang=lang) + gauge_chart_acidity = create_gauge_chart(deg_acidity_clicked, intervals=[0, 25, 50, 75, 100], color_scale=POSITIVE_GAUGE_COLOR_PALETTE, lang=lang) + gauge_chart_eutrophication = create_gauge_chart(deg_eutrophication_clicked, intervals=[0, 25, 50, 75, 100], color_scale=NEGATIVE_GAUGE_COLOR_PALETTE, lang=lang) - hist1_nb_species = create_hist1_nb_species(filtered_observation_df, nb_species_clicked) - hist2_vdl = create_hist2_vdl(filtered_observation_df, vdl_clicked) - hist3_species = create_hist3(filtered_nb_lichen_per_lichen_id_df) - pie_thallus = create_pie_thallus(filtered_grouped_lichen_by_observation_and_thallus_df) + hist1_nb_species = create_hist1_nb_species(filtered_observation_df, nb_species_clicked, lang=lang) + hist2_vdl = create_hist2_vdl(filtered_observation_df, vdl_clicked, lang=lang) + hist3_species = create_hist3(filtered_nb_lichen_per_lichen_id_df, lang=lang) + pie_thallus = create_pie_thallus(filtered_grouped_lichen_by_observation_and_thallus_df, lang=lang) - return fig_map, hist1_nb_species, hist2_vdl, gauge_chart_toxitolerance, gauge_chart_eutrophication, gauge_chart_acidity, hist3_species, pie_thallus + return fig_map, selected_adress, selected_adress_style, hist1_nb_species, hist2_vdl, gauge_chart_toxitolerance, gauge_chart_eutrophication, gauge_chart_acidity, hist3_species, pie_thallus ## Dashboard on species tab @@ -180,7 +203,7 @@ def update_dashboard2(species_id_selected, map_style, relayoutData): if isinstance(species_id_selected, str): species_id_selected = int(species_id_selected) - hist4_species = create_hist4(nb_lichen_per_species_df, species_id_selected) + hist4_species = create_hist4(nb_lichen_per_species_df, species_id_selected, lang=lang) # Create a column indicating for each observation if the selected species is present or not observation_with_selected_species_col_df['selected_species_present'] = observation_df['observation_id'].isin( @@ -192,9 +215,9 @@ def update_dashboard2(species_id_selected, map_style, relayoutData): current_center = relayoutData['mapbox.center'] else: current_zoom = 4.8 - current_center = {'lat': observation_with_selected_species_col_df['localisation_lat'].mean() + 0.5, "lon": observation_with_selected_species_col_df['localisation_long'].mean()} + current_center = {'lat': observation_with_selected_species_col_df['localisation_lat'].mean() + 0.5, 'lon': observation_with_selected_species_col_df['localisation_long'].mean()} - fig_map = create_map_species_present(observation_with_selected_species_col_df, 'selected_species_present', current_zoom, current_center, map_style) + fig_map = create_map_species_present(observation_with_selected_species_col_df, 'selected_species_present', current_zoom, current_center, map_style, lang=lang) # Filter on the selected species species_selected = merged_lichen_species_df[merged_lichen_species_df['species_id'] == species_id_selected].iloc[0] @@ -226,22 +249,22 @@ def title_and_tooltip(title, tooltip_text): dmc.Title(title, order=4), dmc.Tooltip( children=DashIconify( - icon="material-symbols:info-outline", + icon='material-symbols:info-outline', height=15, ), label=tooltip_text, withArrow=True, - position="top", - maw="50%", # max width - style={"white-space": "normal", "word-wrap": "break-word"}, # Wrap text on multiple lines + position='top', + maw='50%', # max width + style={'white-space': 'normal', 'word-wrap': 'break-word'}, # Wrap text on multiple lines ), ], - align="center", + align='center', gap=2, ) # Reusable component for gauge cards -def gauge_card(title, tooltip_text, graph_id, max_height="200px"): +def gauge_card(title, tooltip_text, graph_id, max_height='200px'): return dmc.Card( children=[ title_and_tooltip(title, tooltip_text), @@ -249,32 +272,32 @@ def gauge_card(title, tooltip_text, graph_id, max_height="200px"): id=graph_id, figure=blank_fig, style={ - "height": "100px", - "width": "100%", + 'height': '100px', + 'width': '100%', }, - config={"displayModeBar": False}, + config={'displayModeBar': False}, ), ], style={ - "display": "flex", - "flexDirection": "column", - "justifyContent": "space-between", - "flexGrow": 1, - "maxHeight": max_height + 'display': 'flex', + 'flexDirection': 'column', + 'justifyContent': 'space-between', + 'flexGrow': 1, + 'maxHeight': max_height }, **CARD_STYLE ) # Reusable component for histogram cards -def histogram_card(title, tooltip_text, graph_id, height="330px"): +def histogram_card(title, tooltip_text, graph_id, height='330px'): return dmc.Card( children=[ title_and_tooltip(title, tooltip_text), dcc.Graph( id=graph_id, figure=blank_fig, - style={"height": height}, - config={"displaylogo": False}, + style={'height': height}, + config={'displaylogo': False}, ), ], **CARD_STYLE @@ -286,51 +309,58 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): children=[ # First column with map and gauge html.Div( - style={"flex-grow": "1", "flex-basis": "50%"}, + style={'flex-grow': '1', 'flex-basis': '50%'}, children=[ dmc.Group( [ - DashIconify(icon="mdi:calendar", width=26, height=26), + DashIconify(icon='mdi:calendar', width=26, height=26), dmc.DatePicker( - id="date-picker-range", - minDate=merged_observation_df["date_obs"].min(), + id='date-picker-range', + minDate=merged_observation_df['date_obs'].min(), maxDate=datetime.now().date(), - type="range", + type='range', value=[ - merged_observation_df["date_obs"].min(), + merged_observation_df['date_obs'].min(), datetime.now().date(), ], - valueFormat="DD/MM/YYYY", + valueFormat='DD/MM/YYYY', w=170, ), dmc.Button( - id="reset-date-button", - children="✖", - variant="outline", - color="red", - size="xs", + id='reset-date-button', + children='✖', + variant='outline', + color='red', + size='xs', + ), + dmc.Badge( + id='selected-address-badge', + variant='light', + size='lg', + maw='940px', + style={'display': 'none'} # Initially hidden ), ], - align="center", - gap="xs", - mb="xs", + align='center', + gap='xs', + mb='xs', ), dmc.Card( children=[ title_and_tooltip( - title=get_translation("map_title", lang), - tooltip_text=get_translation("map_tooltip", lang) + title=get_translation('map_title', lang), + tooltip_text=get_translation('map_tooltip', lang) ), dmc.SegmentedControl( - id="map-column-select", + id='map-column-select', value=list(MAP_COLOR_PALETTES.keys())[0], data=[ - {"label": get_translation(col, lang), "value": col} - for col in ["nb_species_cat", "VDL_cat", "deg_toxitolerance_cat", "deg_eutrophication_cat", "deg_acidity_cat"] + {'label': get_translation(col, lang), 'value': col} + for col in ['nb_species_cat', 'VDL_cat', 'deg_toxitolerance_cat', 'deg_eutrophication_cat', 'deg_acidity_cat'] ], transitionDuration=600, - transitionTimingFunction="ease-in-out", - mb="xs" + transitionTimingFunction='ease-in-out', + mb='xs' ), html.Div( children=[ @@ -362,10 +392,10 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): } ), dcc.Graph( - id="map-nb_species-vdl", + id='map-nb_species-vdl', figure=blank_fig, - style={"height": "469px"}, - config={"displaylogo": False}, + style={'height': '469px'}, + config={'displaylogo': False}, ), ], **MAP_STYLE @@ -374,40 +404,40 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): ), ], **CARD_STYLE, - mb="md", + mb='md', ), dmc.Grid( **GRID_STYLE, children=[ dmc.GridCol( gauge_card( - title=get_translation("toxitolerance_gauge_title", lang), - tooltip_text=get_translation("toxitolerance_gauge_tooltip", lang), - graph_id="gauge-chart-toxitolerance", + title=get_translation('toxitolerance_gauge_title', lang), + tooltip_text=get_translation('toxitolerance_gauge_tooltip', lang), + graph_id='gauge-chart-toxitolerance', ), span=4, - style={"display": "flex", - "flexDirection": "column"} + style={'display': 'flex', + 'flexDirection': 'column'} ), dmc.GridCol( gauge_card( - title=get_translation("eutrophication_gauge_title", lang), - tooltip_text=get_translation("eutrophication_gauge_tooltip", lang), - graph_id="gauge-chart-eutrophication", + title=get_translation('eutrophication_gauge_title', lang), + tooltip_text=get_translation('eutrophication_gauge_tooltip', lang), + graph_id='gauge-chart-eutrophication', ), span=4, - style={"display": "flex", - "flexDirection": "column"} + style={'display': 'flex', + 'flexDirection': 'column'} ), dmc.GridCol( gauge_card( - title=get_translation("acidity_gauge_title", lang), - tooltip_text=get_translation("acidity_gauge_tooltip", lang), - graph_id="gauge-chart-acidity", + title=get_translation('acidity_gauge_title', lang), + tooltip_text=get_translation('acidity_gauge_tooltip', lang), + graph_id='gauge-chart-acidity', ), span=4, - style={"display": "flex", - "flexDirection": "column"} + style={'display': 'flex', + 'flexDirection': 'column'} ), ], ) @@ -415,7 +445,7 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): ), # Second column with histograms html.Div( - style={"flex-grow": "1", "flex-basis": "50%"}, + style={'flex-grow': '1', 'flex-basis': '50%'}, children=[ dmc.Grid( **GRID_STYLE, @@ -424,9 +454,9 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): span=6, children=[ histogram_card( - title=get_translation("species_number_distribution_hist1_title", lang), - tooltip_text=get_translation("species_number_distribution_hist1_tooltip", lang), - graph_id="hist1-nb_species", + title=get_translation('species_number_distribution_hist1_title', lang), + tooltip_text=get_translation('species_number_distribution_hist1_tooltip', lang), + graph_id='hist1-nb_species', ), ], ), @@ -434,9 +464,9 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): span=6, children=[ histogram_card( - title=get_translation("vdl_distribution_hist2_title", lang), - tooltip_text=get_translation("vdl_distribution_hist2_tooltip", lang), - graph_id="hist2-vdl", + title=get_translation('vdl_distribution_hist2_title', lang), + tooltip_text=get_translation('vdl_distribution_hist2_tooltip', lang), + graph_id='hist2-vdl', ), ], ), @@ -444,9 +474,9 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): span=7, children=[ histogram_card( - title=get_translation("species_distribution_hist3_title", lang), - tooltip_text=get_translation("species_distribution_hist3_tooltip", lang), - graph_id="hist3-species", + title=get_translation('species_distribution_hist3_title', lang), + tooltip_text=get_translation('species_distribution_hist3_tooltip', lang), + graph_id='hist3-species', ), ], ), @@ -454,9 +484,9 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): span=5, children=[ histogram_card( - title=get_translation("thallus_pie_chart_title", lang), - tooltip_text=get_translation("thallus_pie_chart_tooltip", lang), - graph_id="pie-thallus", + title=get_translation('thallus_pie_chart_title', lang), + tooltip_text=get_translation('thallus_pie_chart_tooltip', lang), + graph_id='pie-thallus', ), ], ), @@ -468,58 +498,58 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): ) urls = [ - "https://raw.githubusercontent.com/mantinedev/mantine/master/.demo/images/bg-1.png", - "https://raw.githubusercontent.com/mantinedev/mantine/master/.demo/images/bg-2.png", - "https://raw.githubusercontent.com/mantinedev/mantine/master/.demo/images/bg-3.png", + 'https://raw.githubusercontent.com/mantinedev/mantine/master/.demo/images/bg-1.png', + 'https://raw.githubusercontent.com/mantinedev/mantine/master/.demo/images/bg-2.png', + 'https://raw.githubusercontent.com/mantinedev/mantine/master/.demo/images/bg-3.png', ] -images = [dmc.Image(radius="sm", src=url) for url in urls] +images = [dmc.Image(radius='sm', src=url) for url in urls] species_card = dmc.Card( children=[ dmc.CardSection( children=[ dmc.Text( - id="species-name", - size="lg", - style={"fontStyle": "italic", "fontWeight": "bold"}, + id='species-name', + size='lg', + style={'fontStyle': 'italic', 'fontWeight': 'bold'}, ), ], withBorder=True, inheritPadding=True, - py="xs", + py='xs', ), dmc.Text( children=[ - get_translation("species_description1", lang), - " ", + get_translation('species_description1', lang), + ' ', dmc.Text( - id="species-thallus", - c="blue", - style={"display": "inline"}, + id='species-thallus', + c='blue', + style={'display': 'inline'}, ), - " ", - get_translation("species_description2", lang), - " ", + ' ', + get_translation('species_description2', lang), + ' ', dmc.Text( - id="species-rarity", - c="blue", - style={"display": "inline"}, + id='species-rarity', + c='blue', + style={'display': 'inline'}, ), - " ", - get_translation("species_description3", lang), - ".", + ' ', + get_translation('species_description3', lang), + '.', ], - mt="sm", - c="dimmed", - size="sm", + mt='sm', + c='dimmed', + size='sm', ), dmc.CardSection( dmc.Image( - id="species-image", - mt="sm", + id='species-image', + mt='sm', src=None, - fallbackSrc="https://placehold.co/600x400?text=No%20image%20found", + fallbackSrc='https://placehold.co/600x400?text=No%20image%20found', ), ), dmc.CardSection( @@ -528,46 +558,46 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): [ dmc.Group( [ - get_translation("toxitolerance_badge", lang), - dmc.Badge(id="toxitolerance-badge", variant="light"), + get_translation('toxitolerance_badge', lang), + dmc.Badge(id='toxitolerance-badge', variant='light'), ] ), dmc.Group( [ - get_translation("eutrophication_badge", lang), - dmc.Badge(id="eutro-badge", variant="light"), + get_translation('eutrophication_badge', lang), + dmc.Badge(id='eutro-badge', variant='light'), ] ), dmc.Group( [ - get_translation("acidity_badge", lang), - dmc.Badge(id="acid-badge", variant="light"), + get_translation('acidity_badge', lang), + dmc.Badge(id='acid-badge', variant='light'), ] ), ], - align="left", - gap="md", + align='left', + gap='md', ), ], inheritPadding=True, - mt="sm", - pb="md", + mt='sm', + pb='md', ), ], withBorder=True, - shadow="sm", - radius="md", + shadow='sm', + radius='md', maw=300, miw=250, ) -# Layout for the "Espèces" tab +# Layout for the 'Espèces' tab species_layout = html.Div( children=[ dmc.Select( - id="species-dropdown", - label=get_translation("species_dropdown_label", lang), - description=get_translation("species_dropdown_description", lang), + id='species-dropdown', + label=get_translation('species_dropdown_label', lang), + description=get_translation('species_dropdown_description', lang), value=species_id_selected, data=species_options, clearable=False, @@ -581,13 +611,13 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): children=[ html.Div(species_card), html.Div( - style={"flex-basis": "40%", "flex-grow": "1"}, + style={'flex-basis': '40%', 'flex-grow': '1'}, children=[ dmc.Card( children=[ title_and_tooltip( - title=get_translation("species_presence_map_title", lang), - tooltip_text=get_translation("species_presence_map_tooltip", lang) + title=get_translation('species_presence_map_title', lang), + tooltip_text=get_translation('species_presence_map_tooltip', lang) ), dmc.Card( children=[ @@ -617,16 +647,16 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): } ), dcc.Graph( - id="map-species_present", + id='map-species_present', figure=blank_fig, config={ - "displaylogo": False, # Remove plotly logo + 'displaylogo': False, # Remove plotly logo }, - style={"height": "578px"}, + style={'height': '578px'}, ), ], **MAP_STYLE, - mt="xs", + mt='xs', ), ], **CARD_STYLE, @@ -634,13 +664,13 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): ], ), html.Div( - style={"flex-basis": "40%", "flex-grow": "1"}, + style={'flex-basis': '40%', 'flex-grow': '1'}, children=[ histogram_card( - title=get_translation("species_distribution_hist4_title", lang), - tooltip_text=get_translation("species_distribution_hist4_tooltip", lang), - graph_id="hist4-species", - height="590px", + title=get_translation('species_distribution_hist4_title', lang), + tooltip_text=get_translation('species_distribution_hist4_tooltip', lang), + graph_id='hist4-species', + height='590px', ), ], ), @@ -653,40 +683,40 @@ def histogram_card(title, tooltip_text, graph_id, height="330px"): # Toggle to switch between light and dark theme theme_toggle = dmc.ActionIcon( [ - dmc.Paper(DashIconify(icon="radix-icons:sun", width=25), darkHidden=True), - dmc.Paper(DashIconify(icon="radix-icons:moon", width=25), lightHidden=True), + dmc.Paper(DashIconify(icon='radix-icons:sun', width=25), darkHidden=True), + dmc.Paper(DashIconify(icon='radix-icons:moon', width=25), lightHidden=True), ], - variant="transparent", - id="color-scheme-toggle", - size="lg", + variant='transparent', + id='color-scheme-toggle', + size='lg', style={ - "position": "fixed", - "top": "20px", - "right": "26px", - "zIndex": 1000, + 'position': 'fixed', + 'top': '20px', + 'right': '26px', + 'zIndex': 1000, } ) # Callback to switch between light and dark theme @callback( - Output("mantine-provider", "forceColorScheme"), - Input("color-scheme-toggle", "n_clicks"), - State("mantine-provider", "forceColorScheme"), + Output('mantine-provider', 'forceColorScheme'), + Input('color-scheme-toggle', 'n_clicks'), + State('mantine-provider', 'forceColorScheme'), prevent_initial_call=True, ) def switch_theme(_, theme): - return "dark" if (theme == "light" or theme is None) else "light" + return 'dark' if (theme == 'light' or theme is None) else 'light' # Theme for the app dmc_theme = { - "colors": { - "myBlue": BASE_COLOR_PALETTE[::-1], # Reverse the color palette + 'colors': { + 'myBlue': BASE_COLOR_PALETTE[::-1], # Reverse the color palette }, - "primaryColor": "myBlue", - "fontFamily": BODY_FONT_FAMILY, - "defaultRadius": "md", # Default radius for cards + 'primaryColor': 'myBlue', + 'fontFamily': BODY_FONT_FAMILY, + 'defaultRadius': 'md', # Default radius for cards } @@ -695,19 +725,19 @@ def switch_theme(_, theme): external_stylesheets=[ dmc.styles.ALL, dmc.styles.DATES, - "https://fonts.googleapis.com/css2?family=Source+Sans+Pro:wght@400;600&display=swap" + 'https://fonts.googleapis.com/css2?family=Source+Sans+Pro:wght@400;600&display=swap' ], - title=get_translation("app_title", lang), + title=get_translation('app_title', lang), ) dashboards_layout = dmc.Box( children=[ dmc.Accordion( - id="accordion", + id='accordion', disableChevronRotation=True, - chevronPosition="left", - variant="contained", + chevronPosition='left', + variant='contained', multiple=True, children=[ dmc.AccordionItem( @@ -717,27 +747,27 @@ def switch_theme(_, theme): dmc.Group( children=[ DashIconify( - icon="tabler:map-pin", + icon='tabler:map-pin', height=25, color=BASE_COLOR_PALETTE[0], ), dmc.Tooltip( - label=get_translation("observation_tab_tooltip", lang), - position="right", + label=get_translation('observation_tab_tooltip', lang), + position='right', withArrow=True, children=dmc.Title( - get_translation("observation_tab_title", lang), + get_translation('observation_tab_title', lang), order=3, ), ), ], - align="center", + align='center', ), ], ), dmc.AccordionPanel(sites_layout), ], - value="sites", + value='sites', ), dmc.AccordionItem( children=[ @@ -745,33 +775,33 @@ def switch_theme(_, theme): dmc.Group( children=[ DashIconify( - icon="ph:plant", + icon='ph:plant', height=25, color=BASE_COLOR_PALETTE[0], ), dmc.Title( - get_translation("species_tab_title", lang), + get_translation('species_tab_title', lang), order=3, ), ], - align="bottom", + align='bottom', ), ), dmc.AccordionPanel(species_layout), ], - value="species", + value='species', ), ], # open both toggles by default - value=["sites", "species"], + value=['sites', 'species'], ) ], - style={"flex": 1, "padding": "10px"}, + style={'flex': 1, 'padding': '10px'}, ) # Define the main layout with toggle and accordion app.layout = dmc.MantineProvider( - id="mantine-provider", + id='mantine-provider', theme=dmc_theme, children=[ dmc.Group( @@ -779,7 +809,7 @@ def switch_theme(_, theme): dashboards_layout, theme_toggle, ], - align="start", + align='start', ) ], ) diff --git a/dashboard/assets/locale/en.json b/dashboard/assets/locale/en.json index 31d14db..9d8a072 100644 --- a/dashboard/assets/locale/en.json +++ b/dashboard/assets/locale/en.json @@ -31,20 +31,51 @@ "species_description1": "This lichen", "species_description2": "is", "species_description3": "in urban environment", - "nb_species_cat": "Species Count", - "VDL_cat": "LDV", - "deg_toxitolerance_cat": "Toxitolerant Species (%)", - "deg_eutrophication_cat": "Eutrophic Species (%)", - "deg_acidity_cat": "Acidophilic Species (%)", + "nb_species_cat": "Species count", + "nb_species": "Species count", + "VDL_cat": "VDL", + "VDL": "VDL", + "VDL_long": "Lichen Diversity Value", + "VDL_desc": "Lichen Diversity Value (VDL)", + "deg_toxitolerance_cat": "Toxitolerant species (%)", + "deg_toxitolerance": "Toxitolerant species (%)", + "deg_eutrophication_cat": "Eutrophic species (%)", + "deg_eutrophication": "Eutrophic species (%)", + "deg_acidity_cat": "Acidophilic species (%)", + "deg_acidity": "Acidophilic species (%)", "unknown": "unknown", - "acidophilous": "acidophilic", - "neutrophilous": "neutrophilic", - "basophilous": "basophilic", + "acidophilous": "acidophilous", + "neutrophilous": "neutrophilous", + "basophilous": "basophilous", "oligotrophic": "oligotrophic", "mesotrophic": "mesotrophic", "eutrophic": "eutrophic", "sensitive": "sensitive", "intermediate": "intermediate", "tolerant": "tolerant", - "resistant": "resistant" + "resistant": "resistant", + "True": "yes", + "False": "no", + "true": "yes", + "false": "no", + "latitude": "latitude", + "longitude": "longitude", + "observation_date": "observation date", + "selected_species_present": "selected species present", + "percentage": "percentage", + "percentage_quadrats": "% of quadrats", + "nb_observations": "sites count", + "très commun": "very common", + "rare": "rare", + "très rare": "very rare", + "commun": "common", + "peu commun": "uncommon", + "crustacé": "crustose", + "fruticuleux": "fruticose", + "foliacé": "foliose", + "north": "north", + "south": "south", + "east": "east", + "west": "west", + "count": "count" } diff --git a/dashboard/assets/locale/fr.json b/dashboard/assets/locale/fr.json index 5f2cc79..2a3b724 100644 --- a/dashboard/assets/locale/fr.json +++ b/dashboard/assets/locale/fr.json @@ -32,10 +32,17 @@ "species_description2": "est", "species_description3": "en milieu urbain", "nb_species_cat": "Nombre d'espèces", + "nb_species": "Nombre d'espèces", "VDL_cat": "VDL", + "VDL": "VDL", + "VDL_long": "Valeur de Diversité Lichénique", + "VDL_desc": "Valeur de Diversité Lichénique (VDL)", "deg_toxitolerance_cat": "Espèces toxitolérantes (%)", + "deg_toxitolerance": "Espèces toxitolérantes (%)", "deg_eutrophication_cat": "Espèces eutrophes (%)", + "deg_eutrophication": "Espèces eutrophes (%)", "deg_acidity_cat": "Espèces acidophiles (%)", + "deg_acidity": "Espèces acidophiles (%)", "unknown": "inconnu", "acidophilous": "acidophile", "neutrophilous": "neutrophile", @@ -50,5 +57,25 @@ "True": "oui", "False": "non", "true": "oui", - "false": "non" + "false": "non", + "latitude": "latitude", + "longitude": "longitude", + "observation_date": "date de l'observation", + "selected_species_present": "espèce sélectionnée présente", + "percentage": "pourcentage", + "percentage_quadrats": "% de quadrats", + "nb_observations": "nombre de sites", + "très commun": "très commun", + "rare": "rare", + "très rare": "très rare", + "commun": "commun", + "peu commun": "peu commun", + "crustacé": "crustacé", + "fruticuleux": "fruticuleux", + "foliacé": "foliacé", + "north": "nord", + "south": "sud", + "east": "est", + "west": "ouest", + "count": "nombre" } diff --git a/dashboard/charts.py b/dashboard/charts.py index e2c96f6..6b94a03 100644 --- a/dashboard/charts.py +++ b/dashboard/charts.py @@ -1,4 +1,3 @@ -import pandas as pd import plotly.express as px import plotly.graph_objects as go from dashboard.constants import BASE_COLOR_PALETTE, PASTEL_COLOR_PALETTE, PLOTLY_LAYOUT, MAP_COLOR_PALETTES @@ -20,22 +19,20 @@ def blank_figure(): return fig -def create_map_observations(filtered_df, map_column_selected, zoom, center, map_style, observation_clicked=None): - - filtered_df['date_obs'] = pd.to_datetime(filtered_df['date_obs']).dt.strftime('%d/%m/%Y') +def create_map_observations(filtered_df, map_column_selected, zoom, center, map_style, lang, observation_clicked=None): fig_map = px.scatter_map( filtered_df, lat='localisation_lat', lon='localisation_long', color=map_column_selected, - hover_name='date_obs', + hover_name='date_obs_formatted', labels={ # Rename the columns for the legend - 'nb_species_cat': 'Nombre d\'espèces', - 'VDL_cat': 'Valeur de Diversité Lichénique', - 'deg_toxitolerance_cat': 'Espèces toxitolérantes', - 'deg_eutrophication_cat': 'Espèces eutrophes', - 'deg_acidity_cat': 'Espèces acidophiles', + 'nb_species_cat': get_translation('nb_species', lang=lang).capitalize(), + 'VDL_cat': get_translation('VDL_cat', lang=lang), + 'deg_toxitolerance_cat': get_translation('deg_toxitolerance_cat', lang=lang), + 'deg_eutrophication_cat': get_translation('deg_eutrophication_cat', lang=lang), + 'deg_acidity_cat': get_translation('deg_acidity_cat', lang=lang), }, custom_data=['nb_species', 'VDL', 'deg_toxitolerance', 'deg_eutrophication', 'deg_acidity'], map_style=map_style, @@ -44,14 +41,15 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, map_ ) fig_map.update_traces( - hovertemplate='Date d\'observation: %{hovertext}
' - 'Latitude: %{lat}
' - 'Longitude: %{lon}
' - 'Nombre d\'espèces: %{customdata[0]}
' - 'Valeur de Diversité Lichénique: %{customdata[1]:.1f}
' - 'Espèces toxitolérantes: %{customdata[2]:.1%}
' - 'Espèces eutrophes: %{customdata[3]:.1%}
' - 'Espèces acidophiles: %{customdata[4]:.1%}
' + hovertemplate= f"{get_translation('observation_date', lang=lang).capitalize()}: %{{hovertext}}
" + f"{get_translation('latitude', lang=lang).capitalize()}: %{{lat}}
" + f"{get_translation('longitude', lang=lang).capitalize()}: %{{lon}}
" + f"{get_translation('nb_species', lang=lang).capitalize()}: %{{customdata[0]}}
" + f"{get_translation('VDL_long', lang=lang)}: %{{customdata[1]:.1f}}
" + f"{get_translation('deg_toxitolerance', lang=lang).capitalize()}: %{{customdata[2]:.1%}}
" + f"{get_translation('deg_eutrophication', lang=lang).capitalize()}: %{{customdata[3]:.1%}}
" + f"{get_translation('deg_acidity', lang=lang).capitalize()}: %{{customdata[4]:.1%}}
" + "" ) if observation_clicked is not None: @@ -68,7 +66,7 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, map_ color=observation_clicked_color, ), hoverinfo='skip', # Hide the hover info, to use the one from the main trace - showlegend=False + showlegend=False, ) ) @@ -88,19 +86,18 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, map_ return fig_map -def create_map_species_present(filtered_df, map_column_selected, zoom, center, map_style): +def create_map_species_present(filtered_df, map_column_selected, zoom, center, map_style, lang): - filtered_df['date_obs'] = pd.to_datetime(filtered_df['date_obs']).dt.strftime('%d/%m/%Y') - filtered_df['selected_species_present_translated'] = filtered_df['selected_species_present'].apply(lambda x: get_translation(str(x))) + filtered_df['selected_species_present_translated'] = filtered_df['selected_species_present'].apply(lambda x: get_translation(str(x), lang=lang).capitalize()) fig_map = px.scatter_map( filtered_df, lat='localisation_lat', lon='localisation_long', color=map_column_selected, - hover_name='date_obs', + hover_name='date_obs_formatted', labels={ # Rename the columns for the legend - 'selected_species_present': 'Espèce présente', + 'selected_species_present': get_translation('selected_species_present', lang=lang).capitalize(), }, custom_data=['selected_species_present_translated'], map_style=map_style, @@ -108,15 +105,16 @@ def create_map_species_present(filtered_df, map_column_selected, zoom, center, m ) fig_map.update_traces( - hovertemplate='Date d\'observation: %{hovertext}
' + - 'Latitude: %{lat}
' + - 'Longitude: %{lon}
' + - 'Espèce présente: %{customdata[0]}
' + hovertemplate= f"{get_translation('observation_date', lang=lang).capitalize()}: %{{hovertext}}
" + f"{get_translation('latitude', lang=lang).capitalize()}: %{{lat}}
" + f"{get_translation('longitude', lang=lang).capitalize()}: %{{lon}}
" + f"{get_translation('selected_species_present', lang=lang).capitalize()}: %{{customdata[0]}}
" + "" ) # Apply the translated names to the legend for trace in fig_map.data: - trace.name = get_translation(trace.name) + trace.name = get_translation(trace.name, lang=lang).capitalize() fig_map.update_layout( PLOTLY_LAYOUT, @@ -128,15 +126,14 @@ def create_map_species_present(filtered_df, map_column_selected, zoom, center, m y=0.02, bgcolor='rgba(255, 255, 255, 0.8)', # Semi-transparent background bordercolor='grey', - borderwidth=1.5, + borderwidth=1, ), ) return fig_map - -def create_hist1_nb_species(observation_with_vdl_df, nb_species_clicked): +def create_hist1_nb_species(observation_with_vdl_df, nb_species_clicked, lang): hist1 = px.histogram( observation_with_vdl_df, x='nb_species', @@ -145,8 +142,8 @@ def create_hist1_nb_species(observation_with_vdl_df, nb_species_clicked): hist1.update_layout( **PLOTLY_LAYOUT, - xaxis_title="Nombre d\'espèces", - yaxis_title="Nombre de sites", + xaxis_title=get_translation('nb_species', lang=lang).capitalize(), + yaxis_title=get_translation('nb_observations', lang=lang).capitalize(), yaxis_showgrid=True, bargap=0.1, ) @@ -154,8 +151,8 @@ def create_hist1_nb_species(observation_with_vdl_df, nb_species_clicked): # Update hover template hist1.update_traces( hovertemplate=( - "Nombre d'espèces: %{x}
" - "Nombre de sites: %{y}
" + f"{get_translation('nb_species', lang=lang).capitalize()}: %{{x}}
" + f"{get_translation('nb_observations', lang=lang).capitalize()}: %{{y}}
" "" ) ) @@ -164,18 +161,18 @@ def create_hist1_nb_species(observation_with_vdl_df, nb_species_clicked): if nb_species_clicked: hist1.add_shape( go.layout.Shape( - type="line", + type='line', x0=nb_species_clicked, x1=nb_species_clicked, y0=0, y1=1, xref='x', yref='paper', - line=dict(color='red', width=2, dash="dot") + line=dict(color='red', width=2, dash='dot') ) ) return hist1 -def create_hist2_vdl(observation_with_vdl_df, vdl_clicked): +def create_hist2_vdl(observation_with_vdl_df, vdl_clicked, lang): hist2 = px.histogram( observation_with_vdl_df, x='VDL', @@ -184,8 +181,8 @@ def create_hist2_vdl(observation_with_vdl_df, vdl_clicked): hist2.update_layout( **PLOTLY_LAYOUT, - xaxis_title="Valeur de Diversité Lichénique (VDL)", - yaxis_title="Nombre de sites", + xaxis_title=get_translation('VDL_desc', lang=lang), + yaxis_title=get_translation('nb_observations', lang=lang).capitalize(), yaxis_showgrid=True, bargap=0.1, ) @@ -193,8 +190,8 @@ def create_hist2_vdl(observation_with_vdl_df, vdl_clicked): # Update hover template hist2.update_traces( hovertemplate=( - "VDL: %{x}
" - "Nombre de sites: %{y}
" + f"{get_translation('VDL', lang=lang)}: %{{x}}
" + f"{get_translation('nb_observations', lang=lang).capitalize()}: %{{y}}
" "" ) ) @@ -203,33 +200,33 @@ def create_hist2_vdl(observation_with_vdl_df, vdl_clicked): if vdl_clicked: hist2.add_shape( go.layout.Shape( - type="line", + type='line', x0=vdl_clicked, x1=vdl_clicked, y0=0, y1=1, xref='x', yref='paper', - line=dict(color='red', width=2, dash="dot") + line=dict(color='red', width=2, dash='dot') ) ) return hist2 -def create_hist3(lichen_frequency_df): +def create_hist3(lichen_frequency_df, lang): hist3 = px.bar( lichen_frequency_df, - x="nb_lichen_ratio", - y="unique_name", - orientation="h", + x='nb_lichen_ratio', + y='unique_name', + orientation='h', color_discrete_sequence=BASE_COLOR_PALETTE, ) hist3.update_layout( **PLOTLY_LAYOUT, - xaxis_title="% de quadrats", - yaxis_title="", + xaxis_title=get_translation('percentage_quadrats', lang=lang).capitalize(), + yaxis_title='', xaxis_showgrid=True, - xaxis_tickformat=".0%", + xaxis_tickformat='.0%', xaxis=dict( range=[0, 1.1], dtick=0.25 # Set x-axis ticks every 25% @@ -240,12 +237,12 @@ def create_hist3(lichen_frequency_df): hist3.update_traces( hovertemplate=( "%{y}

" - "Pourcentage: %{x}
" - "Nombre: %{customdata[0]}
" - "Nord: %{customdata[1]}
" - "Sud: %{customdata[2]}
" - "Ouest: %{customdata[3]}
" - "Est: %{customdata[4]}
" + f"{get_translation('percentage', lang=lang).capitalize()}: %{{x}}
" + f"{get_translation('count', lang=lang).capitalize()}: %{{customdata[0]}}
" + f"{get_translation('north', lang=lang).capitalize()}: %{{customdata[1]}}
" + f"{get_translation('south', lang=lang).capitalize()}: %{{customdata[2]}}
" + f"{get_translation('west', lang=lang).capitalize()}: %{{customdata[3]}}
" + f"{get_translation('east', lang=lang).capitalize()}: %{{customdata[4]}}
" "" ), customdata=lichen_frequency_df[['nb_lichen','nb_lichen_N', 'nb_lichen_S', 'nb_lichen_O', 'nb_lichen_E']].values @@ -254,7 +251,7 @@ def create_hist3(lichen_frequency_df): return hist3 -def create_pie_thallus(grouped_table_by_observation_and_thallus_df): +def create_pie_thallus(grouped_table_by_observation_and_thallus_df, lang): # Capitalize the thallus names capital_grouped_table_by_observation_and_thallus_df = grouped_table_by_observation_and_thallus_df.copy() @@ -262,8 +259,8 @@ def create_pie_thallus(grouped_table_by_observation_and_thallus_df): pie_thallus = px.pie( capital_grouped_table_by_observation_and_thallus_df, - names="thallus", - values="nb_lichen_id", + names='thallus', + values='nb_lichen_id', color_discrete_sequence=BASE_COLOR_PALETTE[::3], ) @@ -271,17 +268,18 @@ def create_pie_thallus(grouped_table_by_observation_and_thallus_df): **PLOTLY_LAYOUT, showlegend=True, legend=dict( - orientation="h", # Horizontal legend - yanchor="bottom", # Anchor the legend to the bottom + orientation='h', # Horizontal legend + yanchor='top', # Anchor the legend at the top y=1.1, # Position the legend at the top - xanchor="center", # Center the legend horizontally + xanchor='center', # Center the legend horizontally x=0.5 # Center the legend horizontally ), ) # Update hover template and text template pie_thallus.update_traces( - hovertemplate="%{label}
Nombre: %{value}", + hovertemplate="%{label}
" + f"{get_translation('count', lang=lang).capitalize()}: %{{value}}", texttemplate="%{percent:.0%}" # Format displayed values as percentages with no decimal places ) @@ -289,32 +287,32 @@ def create_pie_thallus(grouped_table_by_observation_and_thallus_df): ## Gauge charts -def create_gauge_chart(value, intervals, color_scale): +def create_gauge_chart(value, intervals, color_scale, lang): percentage_value = value * 100 fig = go.Figure( go.Indicator( - domain={"x": [0, 1], "y": [0, 1]}, + domain={'x': [0, 1], 'y': [0, 1]}, value=percentage_value, - number={"suffix": "%", - "valueformat": ".0f", # Format the value as a number with no decimals - "font": - {"size": 24 , - "color": find_color(percentage_value, intervals=intervals, color_scale=color_scale) + number={'suffix': '%', + 'valueformat': '.0f', # Format the value as a number with no decimals + 'font': + {'size': 24 , + 'color': find_color(percentage_value, intervals=intervals, color_scale=color_scale) } }, - mode="gauge+number", + mode='gauge+number', gauge={ - "axis": {"range": [0, 100], "dtick": 25}, - 'bar': {'color': "rgba(60, 60, 60, 1)", 'thickness': 0.4}, - "steps": [ + 'axis': {'range': [0, 100], 'dtick': 25}, + 'bar': {'color': 'rgba(60, 60, 60, 1)', 'thickness': 0.4}, + 'steps': [ {'range': intervals[i:i+2], 'color': color_scale[i]} for i in range(len(intervals) - 1) ], - "threshold": { - "line": {"color": "rgba(60, 60, 60, 1)", "width": 3}, - "thickness": 0.75, - "value": percentage_value, + 'threshold': { + 'line': {'color': 'rgba(60, 60, 60, 1)', 'width': 3}, + 'thickness': 0.75, + 'value': percentage_value, }, }, ) @@ -359,9 +357,9 @@ def create_kpi(value, title=None, intervals=None, color_scale=None): indicator = go.Indicator( value=value, - number={"suffix": "%", "font": {"color": color, "size": 50}}, - mode="number", - title={"text": title}, + number={'suffix': '%', 'font': {'color': color, 'size': 50}}, + mode='number', + title={'text': title}, ) fig = go.Figure(indicator) @@ -376,9 +374,9 @@ def create_kpi(value, title=None, intervals=None, color_scale=None): ## Histograms for species -def create_hist4(count_lichen_per_species_df, user_selection_species_id): +def create_hist4(count_lichen_per_species_df, user_selection_species_id, lang): # Find the index of the selected species ID in the merged table - user_selection_idx = count_lichen_per_species_df[count_lichen_per_species_df["species_id"] == user_selection_species_id].index + user_selection_idx = count_lichen_per_species_df[count_lichen_per_species_df['species_id'] == user_selection_species_id].index # Adjust the color of the selected specie to be darker pastel_color = PASTEL_COLOR_PALETTE[0] @@ -389,10 +387,10 @@ def create_hist4(count_lichen_per_species_df, user_selection_species_id): # Bar plot hist4 = px.bar( count_lichen_per_species_df, - x="count", - y="name", - orientation="h", - color="name", + x='count', + y='name', + orientation='h', + color='name', color_discrete_sequence=color_hist4, ) @@ -404,15 +402,15 @@ def create_hist4(count_lichen_per_species_df, user_selection_species_id): # Update axes hist4.update_xaxes( - title_text="Nombre", + title_text=get_translation('count', lang=lang).capitalize(), showgrid=True, ) hist4.update_yaxes( - title="", - # tickfont=dict(size=10) # Adjust tick font size + title='', ) hist4.update_traces( - hovertemplate="%{y}
Nombre: %{x}" + hovertemplate="%{y}
" + f"{get_translation('count', lang=lang).capitalize()}: %{{x}}" ) return hist4 diff --git a/dashboard/constants.py b/dashboard/constants.py index 394ea92..b1283d4 100644 --- a/dashboard/constants.py +++ b/dashboard/constants.py @@ -48,11 +48,11 @@ ORIENTATIONS = list(ORIENTATIONS_MAPPING.keys()) MAP_COLOR_PALETTES = { - 'nb_species_cat': OrderedDict([('<7', 'red'), ('7-10', 'orange'), ('11-14', 'yellow'), ('>14', 'green')]), - 'VDL_cat': OrderedDict([('<25', 'red'), ('25-50', 'orange'), ('50-75', 'yellow'), ('>75', 'green')]), - 'deg_acidity_cat': OrderedDict([('0-25%', 'red'), ('25-50%', 'orange'), ('50-75%', 'yellow'), ('75-100%', 'green')]), - 'deg_eutrophication_cat': OrderedDict([('0-25%', 'green'), ('25-50%', 'yellow'), ('50-75%', 'orange'), ('75-100%', 'red')]), - 'deg_toxitolerance_cat': OrderedDict([('0-25%', 'green'), ('25-50%', 'yellow'), ('50-75%', 'orange'), ('75-100%', 'red')]), + 'nb_species_cat': OrderedDict([('< 7', 'red'), ('7 - 10', 'orange'), ('11 - 14', 'yellow'), ('> 14', 'green')]), + 'VDL_cat': OrderedDict([('< 25', 'red'), ('25 - 50', 'orange'), ('50 - 75', 'yellow'), ('> 75', 'green')]), + 'deg_acidity_cat': OrderedDict([('0 - 25%', 'red'), ('25 - 50%', 'orange'), ('50-75%', 'yellow'), ('75 - 100%', 'green')]), + 'deg_eutrophication_cat': OrderedDict([('0 - 25%', 'green'), ('25 - 50%', 'yellow'), ('50 - 75%', 'orange'), ('75 - 100%', 'red')]), + 'deg_toxitolerance_cat': OrderedDict([('0 - 25%', 'green'), ('25 - 50%', 'yellow'), ('50 - 75%', 'orange'), ('75 - 100%', 'red')]), 'selected_species_present': OrderedDict([(True, BASE_COLOR_PALETTE[0]), (False, BASE_COLOR_PALETTE[-1])]), } diff --git a/dashboard/utils/location.py b/dashboard/utils/location.py new file mode 100644 index 0000000..2976f42 --- /dev/null +++ b/dashboard/utils/location.py @@ -0,0 +1,16 @@ +from geopy.geocoders import Nominatim +from geopy.exc import GeopyError + +def get_address_from_lat_lon(lat, lon, language='fr'): + try: + geolocator = Nominatim(user_agent='lichensgo') + location = geolocator.reverse((lat, lon), exactly_one=True, language=language) + + # Custom address display (to make it shorter than the default one) + elements = ['amenity', 'road', 'suburb', 'postcode', 'town', 'city', 'state', 'country'] + address = ', '.join([location.raw.get('address').get(e) for e in elements if location.raw.get('address').get(e)]) + + return address + except GeopyError as e: + print(f"Error: {e}") + return None diff --git a/dashboard/utils/translations.py b/dashboard/utils/translations.py index a61ef9f..a40f560 100644 --- a/dashboard/utils/translations.py +++ b/dashboard/utils/translations.py @@ -14,9 +14,11 @@ def load_translations(lang): print(f"Error decoding JSON from translation file for language '{lang}'.") return {} -def get_translation(key, lang='fr'): +def get_translation(key, lang): try: translations = load_translations(lang) + if key not in translations: + print(f"Translation for key '{key}' not found in language '{lang}'") return translations.get(key, key) except Exception as e: print(f"Error getting translation for key '{key}' in language '{lang}': {e}") From 11745f451591762bfa292b213d2ed0dea1820446 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Wed, 6 Nov 2024 11:39:11 +0100 Subject: [PATCH 08/12] cleaned code --- my_data/computed_datasets.py | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/my_data/computed_datasets.py b/my_data/computed_datasets.py index 6615cdf..47f881b 100644 --- a/my_data/computed_datasets.py +++ b/my_data/computed_datasets.py @@ -7,7 +7,6 @@ def merge_tables(table_df, lichen_df, observation_df): merged_df = table_df.merge(lichen_df, on='lichen_id', suffixes=('', '_l'), how='left') - # merged_df = merged_df.merge(lichen_species_df, on='species_id', how='left') merged_df = merged_df.merge(observation_df, on='observation_id', how ='left') return merged_df @@ -48,7 +47,7 @@ def calc_vdl(table_with_nb_lichen_df): # Sum over all lichen per observation vdl_df = avg_nb_lichen_per_tree.groupby('observation_id').sum().reset_index().rename(columns={'nb_lichen': 'VDL'}) - vdl_df["VDL_cat"] = pd.cut(vdl_df["VDL"], bins=[-1, 25, 50, 75, np.inf], labels=["<25", "25-50", "50-75", ">75"]) + vdl_df['VDL_cat'] = pd.cut(vdl_df['VDL'], bins=[-1, 25, 50, 75, np.inf], labels=['< 25', '25 - 50', '50 - 75', '> 75']) return vdl_df @@ -108,7 +107,6 @@ def unique_lichen_name(nb_lichen_per_lichen_id_df): return merged_df - # Count the number of lichen species for each observation def count_species_per_observation(lichen_df, observation_df): # Count the number of different lichen (=lines in the df) per observation @@ -118,10 +116,10 @@ def count_species_per_observation(lichen_df, observation_df): observation_with_species_count_df = observation_df.merge(count_species_per_observation_df, how='left', on='observation_id') # Add a categorical column based on the number of lichen - observation_with_species_count_df["nb_species_cat"] = pd.cut( - observation_with_species_count_df["nb_species"], + observation_with_species_count_df['nb_species_cat'] = pd.cut( + observation_with_species_count_df['nb_species'], bins=[0, 7, 10.5, 15, np.inf], - labels = ["<7", "7-10", "11-14", ">14"], + labels = ['< 7', '7 - 10', '11 - 14', '> 14'], right=False ) @@ -134,7 +132,7 @@ def count_lichen_per_species(lichen_df, lichen_species_df): # Group by species' type and count them count_lichen_per_species_df = ( lichen_df - .groupby("species_id", as_index=False) + .groupby('species_id', as_index=False) .size() .rename(columns={'size': 'count'}) ) @@ -209,6 +207,7 @@ def calc_degrees_pollution(merged_table_with_nb_lichen_df, lichen_df, merged_lic # Add categorical columns for col in ['deg_toxitolerance', 'deg_acidity', 'deg_eutrophication']: - merged_df[col + '_cat'] = pd.cut(merged_df[col], bins=[-0.1, 0.25, 0.5, 0.75, np.inf], labels=["0-25%", "25-50%", "50-75%", "75-100%"]) + merged_df[col + '_cat'] = pd.cut(merged_df[col], bins=[-0.1, 0.25, 0.5, 0.75, np.inf], labels=[ + '0 - 25%', '25 - 50%', '50 - 75%', '75 - 100%']) return merged_df From 9d2fe7e2f82dc081a323e184fd6add8011312ce4 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Wed, 6 Nov 2024 11:39:26 +0100 Subject: [PATCH 09/12] updated libraries --- poetry.lock | 2229 ++++++++++++++++++++++++++---------------------- pyproject.toml | 1 + 2 files changed, 1202 insertions(+), 1028 deletions(-) diff --git a/poetry.lock b/poetry.lock index 92823a5..73a3fc8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,13 +2,13 @@ [[package]] name = "anyio" -version = "4.6.2" +version = "4.6.2.post1" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "anyio-4.6.2-py3-none-any.whl", hash = "sha256:6caec6b1391f6f6d7b2ef2258d2902d36753149f67478f7df4be8e54d03a8f54"}, - {file = "anyio-4.6.2.tar.gz", hash = "sha256:f72a7bb3dd0752b3bd8b17a844a019d7fbf6ae218c588f4f9ba1b2f600b12347"}, + {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"}, + {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"}, ] [package.dependencies] @@ -143,22 +143,22 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""} [[package]] name = "attrs" -version = "23.2.0" +version = "24.2.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.7" files = [ - 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"sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7"}, ] [package.dependencies] @@ -3156,13 +3325,13 @@ test = ["pytest", "ruff"] [[package]] name = "tomli" -version = "2.0.1" +version = "2.0.2" description = "A lil' TOML parser" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"}, - {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"}, + {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"}, + {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"}, ] [[package]] @@ -3187,30 +3356,30 @@ files = [ [[package]] name = "tox" -version = "4.15.1" +version = "4.23.2" description = "tox is a generic virtualenv management and test command line tool" optional = false python-versions = ">=3.8" files = [ - {file = "tox-4.15.1-py3-none-any.whl", hash = "sha256:f00a5dc4222b358e69694e47e3da0227ac41253509bca9f45aa8f012053e8d9d"}, - {file = "tox-4.15.1.tar.gz", hash = "sha256:53a092527d65e873e39213ebd4bd027a64623320b6b0326136384213f95b7076"}, + {file = "tox-4.23.2-py3-none-any.whl", hash = "sha256:452bc32bb031f2282881a2118923176445bac783ab97c874b8770ab4c3b76c38"}, + {file = "tox-4.23.2.tar.gz", hash = "sha256:86075e00e555df6e82e74cfc333917f91ecb47ffbc868dcafbd2672e332f4a2c"}, ] [package.dependencies] -cachetools = ">=5.3.2" +cachetools = ">=5.5" chardet = ">=5.2" colorama = ">=0.4.6" -filelock = ">=3.13.1" -packaging = ">=23.2" -platformdirs = ">=4.1" -pluggy = ">=1.3" -pyproject-api = ">=1.6.1" +filelock = ">=3.16.1" +packaging = ">=24.1" +platformdirs = ">=4.3.6" +pluggy = ">=1.5" +pyproject-api = ">=1.8" tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""} -virtualenv = ">=20.25" +typing-extensions = {version = ">=4.12.2", markers = "python_version < \"3.11\""} +virtualenv = ">=20.26.6" [package.extras] -docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-argparse-cli (>=1.11.1)", "sphinx-autodoc-typehints (>=1.25.2)", "sphinx-copybutton (>=0.5.2)", "sphinx-inline-tabs (>=2023.4.21)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.11)"] -testing = ["build[virtualenv] (>=1.0.3)", "covdefaults (>=2.3)", "detect-test-pollution (>=1.2)", "devpi-process (>=1)", "diff-cover (>=8.0.2)", "distlib (>=0.3.8)", "flaky (>=3.7)", "hatch-vcs (>=0.4)", "hatchling (>=1.21)", "psutil (>=5.9.7)", "pytest (>=7.4.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-xdist (>=3.5)", "re-assert (>=1.1)", "time-machine (>=2.13)", "wheel (>=0.42)"] +test = ["devpi-process (>=1.0.2)", "pytest (>=8.3.3)", "pytest-mock (>=3.14)"] [[package]] name = "traitlets" @@ -3251,13 +3420,13 @@ files = [ [[package]] name = "tzdata" -version = "2024.1" +version = "2024.2" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" files = [ - {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"}, - {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"}, + {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"}, + {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"}, ] [[package]] @@ -3276,13 +3445,13 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake [[package]] name = "urllib3" -version = "2.2.2" +version = "2.2.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.8" files = [ - {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"}, - {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"}, + {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"}, + {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"}, ] [package.extras] @@ -3293,13 +3462,13 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "virtualenv" -version = "20.26.3" +version = "20.27.1" description = "Virtual Python Environment builder" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "virtualenv-20.26.3-py3-none-any.whl", hash = "sha256:8cc4a31139e796e9a7de2cd5cf2489de1217193116a8fd42328f1bd65f434589"}, - {file = "virtualenv-20.26.3.tar.gz", hash = "sha256:4c43a2a236279d9ea36a0d76f98d84bd6ca94ac4e0f4a3b9d46d05e10fea542a"}, + {file = "virtualenv-20.27.1-py3-none-any.whl", hash = "sha256:f11f1b8a29525562925f745563bfd48b189450f61fb34c4f9cc79dd5aa32a1f4"}, + {file = "virtualenv-20.27.1.tar.gz", hash = "sha256:142c6be10212543b32c6c45d3d3893dff89112cc588b7d0879ae5a1ec03a47ba"}, ] [package.dependencies] @@ -3366,13 +3535,13 @@ test = ["websockets"] [[package]] name = "werkzeug" -version = "3.0.3" +version = "3.0.6" description = "The comprehensive WSGI web application library." optional = false python-versions = ">=3.8" files = [ - {file = "werkzeug-3.0.3-py3-none-any.whl", hash = "sha256:fc9645dc43e03e4d630d23143a04a7f947a9a3b5727cd535fdfe155a17cc48c8"}, - {file = "werkzeug-3.0.3.tar.gz", hash = "sha256:097e5bfda9f0aba8da6b8545146def481d06aa7d3266e7448e2cccf67dd8bd18"}, + {file = "werkzeug-3.0.6-py3-none-any.whl", hash = "sha256:1bc0c2310d2fbb07b1dd1105eba2f7af72f322e1e455f2f93c993bee8c8a5f17"}, + {file = "werkzeug-3.0.6.tar.gz", hash = "sha256:a8dd59d4de28ca70471a34cba79bed5f7ef2e036a76b3ab0835474246eb41f8d"}, ] [package.dependencies] @@ -3383,20 +3552,24 @@ watchdog = ["watchdog (>=2.3)"] [[package]] name = "zipp" -version = "3.19.2" +version = "3.20.2" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.8" files = [ - {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"}, - {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"}, + {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"}, + {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"}, ] [package.extras] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "faf2eaa6733f3ca3851302598fd1053228d388b1a5687afa7520f09eb2b7c7c5" +content-hash = "6f938a2e215b73eff85311cedb0d8d9c599d582b0de7148cd012ea259c6a39eb" diff --git a/pyproject.toml b/pyproject.toml index 26c49c2..d61d51c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,6 +25,7 @@ dash-iconify = "^0.1.2" cssutils = "^2.11.1" jinja2 = "^3.1" jupyterlab = "^4.2.5" +geopy = "^2.4.1" [tool.poetry.group.dev.dependencies] pre-commit = "^2.20.0" From 2114b27bad1381bd3e5f3651750fa8ed177c66f4 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Wed, 6 Nov 2024 11:40:47 +0100 Subject: [PATCH 10/12] cleaned code --- my_data/computed_datasets.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/my_data/computed_datasets.py b/my_data/computed_datasets.py index 47f881b..9568ae3 100644 --- a/my_data/computed_datasets.py +++ b/my_data/computed_datasets.py @@ -96,7 +96,7 @@ def unique_lichen_name(nb_lichen_per_lichen_id_df): suffix = (grouped + 1).astype(str) # Create a new column 'unique_name' by concatenating the original name with the suffix - non_unique_lichen['unique_name'] = (non_unique_lichen['name'] + " " + suffix) + non_unique_lichen['unique_name'] = (non_unique_lichen['name'] + ' ' + suffix) # Merge unique names with original df merged_df = nb_lichen_per_lichen_id_df.merge(non_unique_lichen[['lichen_id', 'unique_name']], on='lichen_id', how='left') @@ -110,7 +110,7 @@ def unique_lichen_name(nb_lichen_per_lichen_id_df): # Count the number of lichen species for each observation def count_species_per_observation(lichen_df, observation_df): # Count the number of different lichen (=lines in the df) per observation - count_species_per_observation_df = lichen_df['observation_id'].value_counts().to_frame().rename(columns={"count":"nb_species"}) + count_species_per_observation_df = lichen_df['observation_id'].value_counts().to_frame().rename(columns={'count':'nb_species'}) # Merge with observation_df observation_with_species_count_df = observation_df.merge(count_species_per_observation_df, how='left', on='observation_id') From 554ce8fd3206a39f8bbafc50d27af5b1ecd71c94 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Wed, 6 Nov 2024 13:14:59 +0100 Subject: [PATCH 11/12] better tooltips for multi-lines text --- dashboard/app.py | 74 ++++++++++++++++++++++++++++++++------------- dashboard/charts.py | 4 +++ 2 files changed, 57 insertions(+), 21 deletions(-) diff --git a/dashboard/app.py b/dashboard/app.py index b52d113..80890c4 100644 --- a/dashboard/app.py +++ b/dashboard/app.py @@ -244,23 +244,51 @@ def update_dashboard2(species_id_selected, map_style, relayoutData): # Reusable component for title and tooltip def title_and_tooltip(title, tooltip_text): - return dmc.Group( + # Split the title into all words + words = title.split() + + # Check if the last word ends with a parenthesis pattern + if len(words) > 1 and words[-1].startswith("(") and words[-1].endswith(")"): + # If the last word is in parentheses, keep it with the previous word + main_text = ' '.join(words[:-2]) # All words except the last two + last_word = ' '.join(words[-2:]) # Combine the last two words + else: + # Otherwise, split as usual + if len(words) > 1: + main_text = ' '.join(words[:-1]) # All words except the last one + last_word = words[-1] # Last word + else: + main_text = '' + last_word = words[0] # If only one word, set it as last_word + + return html.Div( children=[ - dmc.Title(title, order=4), - dmc.Tooltip( - children=DashIconify( - icon='material-symbols:info-outline', - height=15, - ), - label=tooltip_text, - withArrow=True, - position='top', - maw='50%', # max width - style={'white-space': 'normal', 'word-wrap': 'break-word'}, # Wrap text on multiple lines - ), + # Main part of the title (only if main_text is not empty) + dmc.Title(main_text, order=4, pr='5px') if main_text else None, + # Last word and tooltip grouped together + dmc.Group( + children=[ + dmc.Title(last_word, order=4), + dmc.Tooltip( + children=DashIconify( + icon='material-symbols:info-outline', + height=15, + ), + label=tooltip_text, + withArrow=True, + position='top', + maw='50%', # max width + # Wrap text on multiple lines + style={'white-space': 'normal', + 'word-wrap': 'break-word'}, + ), + ], + align='center', + gap=2, + ) ], - align='center', - gap=2, + style={'margin': 0, 'padding': 0, + 'display': 'flex', 'flex-wrap': 'wrap'} ) # Reusable component for gauge cards @@ -368,16 +396,18 @@ def histogram_card(title, tooltip_text, graph_id, height='330px'): children=[ dmc.Select( id='map-style-dropdown', - value='open-street-map', # Default value + value='streets', # Default value data=[ + {'label': 'Streets', + 'value': 'streets'}, {'label': 'OpenStreetMap', 'value': 'open-street-map'}, {'label': 'Satellite', 'value': 'satellite'}, {'label': 'Satellite with streets', 'value': 'satellite-streets'}, - {'label': 'Streets', - 'value': 'streets'}, + {'label': 'Dark', + 'value': 'dark'}, ], clearable=False, allowDeselect=False, @@ -623,16 +653,18 @@ def histogram_card(title, tooltip_text, graph_id, height='330px'): children=[ dmc.Select( id='map-species-style-dropdown', - value='open-street-map', # Default value + value='streets', # Default value data=[ + {'label': 'Streets', + 'value': 'streets'}, {'label': 'OpenStreetMap', 'value': 'open-street-map'}, {'label': 'Satellite', 'value': 'satellite'}, {'label': 'Satellite with streets', 'value': 'satellite-streets'}, - {'label': 'Streets', - 'value': 'streets'}, + {'label': 'Dark', + 'value': 'dark'}, ], clearable=False, allowDeselect=False, diff --git a/dashboard/charts.py b/dashboard/charts.py index 6b94a03..fa3f8dd 100644 --- a/dashboard/charts.py +++ b/dashboard/charts.py @@ -41,6 +41,8 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, map_ ) fig_map.update_traces( + opacity=0.7, + cluster=dict(enabled=True, maxzoom=8, size=[3, 10, 20, 30], step=[2, 8, 15, 20], opacity=0.7), hovertemplate= f"{get_translation('observation_date', lang=lang).capitalize()}: %{{hovertext}}
" f"{get_translation('latitude', lang=lang).capitalize()}: %{{lat}}
" f"{get_translation('longitude', lang=lang).capitalize()}: %{{lon}}
" @@ -84,6 +86,8 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, map_ ), ) + + return fig_map def create_map_species_present(filtered_df, map_column_selected, zoom, center, map_style, lang): From a0a2c5a3ff20177ef611c9002e2e0a8a6da331d2 Mon Sep 17 00:00:00 2001 From: Benoit Frisque Date: Wed, 6 Nov 2024 13:38:16 +0100 Subject: [PATCH 12/12] updated selected point design on map --- dashboard/charts.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/dashboard/charts.py b/dashboard/charts.py index fa3f8dd..2a071b4 100644 --- a/dashboard/charts.py +++ b/dashboard/charts.py @@ -66,6 +66,7 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, map_ marker=go.scattermap.Marker( size=13, color=observation_clicked_color, + opacity=0.5, ), hoverinfo='skip', # Hide the hover info, to use the one from the main trace showlegend=False, @@ -86,8 +87,6 @@ def create_map_observations(filtered_df, map_column_selected, zoom, center, map_ ), ) - - return fig_map def create_map_species_present(filtered_df, map_column_selected, zoom, center, map_style, lang):