Restructured app for multiview, first working callback

stats/app.py

@@ -0,0 +1,6 @@
+import dash
+import dash_bootstrap_components as dbc
+
+app = dash.Dash("trackdechets-public-dash", title='DECP.info : statistiques',
+                external_stylesheets=[dbc.themes.GRID], suppress_callback_exceptions=True)
+server = app.server

stats/index.py

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+from dash import html, dcc
+import plotly.io as pio
+from os import getenv
+from app import app
+from dash.dependencies import Input, Output
+from views import siret
+
+pio.templates.default = "none"
+
+
+app.layout = html.Div([
+    dcc.Location(id='url', refresh=False),
+    html.Div(id='page-content')
+])
+
+
+@app.callback(Output('page-content', 'children'),
+              Input('url', 'pathname'))
+def display_page(pathname):
+    if pathname.startswith('/siret/'):
+        return siret.layout
+    else:
+        return '404'
+
+
+if __name__ == '__main__':
+    port = getenv('PORT', 8050)
+
+    # Scalingo requires 0.0.0.0 as host, instead of the default 127.0.0.1
+    app.run_server(debug=True, host='0.0.0.0', port=int(port))

stats/views/siret.py

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+from dash import html, dcc
+import dash_bootstrap_components as dbc
+import pandas as pd
+from dash.dependencies import Input, Output
+from app import app
+
+SIRET = '20004525000012'
+
+df_marches: pd.DataFrame = pd.read_csv(
+    'https://decp.info/db/decp-sans-titulaires.csv?_sort=uid&acheteur.id__exact=20004525000012&_size=max&_dl=1',
+    true_values=['oui'],
+    false_values=['non'])
+# df_marches = df_marches[df_marches['donneesActuelles'] == 'oui']
+df_marches['anneeNotification'] = df_marches['dateNotification'].str[:4]
+
+
+df_attributions: pd.DataFrame = pd.read_csv(
+    f'https://decp.info/db/decp.csv?_sort=uid&acheteur.id__exact={SIRET}&_size=max&_dl=1',
+    true_values=['oui'],
+    false_values=['non'])
+# df_attributions = df_attributions[df_attributions['donneesActuelles'] == 'oui']
+df_attributions['anneeNotification'] = df_attributions['dateNotification'].str[:4]
+
+
+def fn(input_number) -> str:
+    return '{:,.0f}'.format(input_number).replace(',', ' ')
+
+
+layout = html.Div(id='stats')
+
+
+@app.callback(Output('stats', 'children'),
+              Input('url', 'pathname'))
+def generateYears(pathname) -> [dbc.Row]:
+    siret = pathname.split('/')[2]
+    print(siret)
+    years = ['2022', '2021', '2020']
+    result = [dbc.Row([
+                html.H2('Par année')
+            ])]
+    for year in years:
+        df_marches_year = df_marches[df_marches['anneeNotification'] == year]
+        df_attributions_year = df_attributions[df_attributions['anneeNotification'] == year]
+        row = dbc.Row([
+            dbc.Col([
+                dbc.Row([
+                    html.H3(year),
+                    html.A('Télécharger les données', href=f'https://decp.info/db/decp?_sort=rowid&dateNotification__'
+                                                           f'startswith={year}&acheteur.id__exact={siret}')
+                         ]),
+                dbc.Row([
+                    dbc.Col([
+                        html.H4('Marchés attribués'),
+                        html.P(df_marches_year.index.size)]),
+                    dbc.Col([
+                        html.H4('Montant total attribué'),
+                        html.P(fn(df_marches_year['montant'].sum()) + ' euros')]),
+                    dbc.Col([
+                        html.H4('Titulaires différents'),
+                        html.P(str(df_attributions_year['titulaire.id'].unique().size))])
+                ])
+            ])
+        ])
+        result.append(row)
+    return result