Colin Maudry
62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
import dash
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from dash import html, dcc
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import dash_bootstrap_components as dbc
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import pandas as pd
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import plotly.io as pio
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from os import getenv
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app = dash.Dash("trackdechets-public-stats", title='DECP.info : statistiques', external_stylesheets=[dbc.themes.GRID])
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pio.templates.default = "none"
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df_marches: pd.DataFrame = pd.read_csv(
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'https://decp.info/db/decp-sans-titulaires.csv?_sort=uid&acheteur.id__exact=20004525000012&_size=max&_dl=1',
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true_values=['oui'],
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false_values=['non'])
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# df_marches = df_marches[df_marches['donneesActuelles'] == 'oui']
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df_marches['anneeNotification'] = df_marches['dateNotification'].str[:4]
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df_attributions: pd.DataFrame = pd.read_csv(
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'https://decp.info/db/decp.csv?_sort=uid&acheteur.id__exact=20004525000012&_size=max&_dl=1',
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true_values=['oui'],
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false_values=['non'])
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# df_attributions = df_attributions[df_attributions['donneesActuelles'] == 'oui']
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df_attributions['anneeNotification'] = df_attributions['dateNotification'].str[:4]
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def generateYears(years: list) -> [dbc.Row]:
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result = []
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for year in years:
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print(year)
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df_marches_year = df_marches[df_marches['anneeNotification'] == year]
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df_attributions_year = df_attributions[df_attributions['anneeNotification'] == year]
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row = dbc.Row([
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dbc.Col([
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dbc.Row([html.H3(year)]),
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dbc.Row([
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dbc.Col(html.P(df_marches_year.index.size)),
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dbc.Col(html.P(str(df_marches_year['montant'].sum()) + ' euros')),
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dbc.Col(html.P(str(df_attributions_year['titulaire.id'].unique().size)))
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])
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])
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])
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result.append(row)
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return result
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acheteur_years = generateYears(['2022', '2021', '2020'])
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print(len(acheteur_years))
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app.layout = html.Div(children=[
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dbc.Row([
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html.H2('Par année')
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])
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] + acheteur_years)
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if __name__ == '__main__':
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port = getenv('PORT', 8050)
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# Scalingo requires 0.0.0.0 as host, instead of the default 127.0.0.1
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app.run_server(debug=bool(getenv('DEVELOPMENT')), host='0.0.0.0', port=int(port))
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