Colin Maudry
66 lines
2.4 KiB
Python
66 lines
2.4 KiB
Python
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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from dash.dependencies import Input, Output
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from app import app
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SIRET = '20004525000012'
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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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f'https://decp.info/db/decp.csv?_sort=uid&acheteur.id__exact={SIRET}&_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 fn(input_number) -> str:
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return '{:,.0f}'.format(input_number).replace(',', ' ')
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layout = html.Div(id='stats')
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@app.callback(Output('stats', 'children'),
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Input('url', 'pathname'))
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def generateYears(pathname) -> [dbc.Row]:
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siret = pathname.split('/')[2]
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print(siret)
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years = ['2022', '2021', '2020']
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result = [dbc.Row([
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html.H2('Par année')
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])]
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for year in years:
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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([
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html.H3(year),
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html.A('Télécharger les données', href=f'https://decp.info/db/decp?_sort=rowid&dateNotification__'
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f'startswith={year}&acheteur.id__exact={siret}')
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]),
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dbc.Row([
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dbc.Col([
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html.H4('Marchés attribués'),
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html.P(df_marches_year.index.size)]),
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dbc.Col([
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html.H4('Montant total attribué'),
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html.P(fn(df_marches_year['montant'].sum()) + ' euros')]),
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dbc.Col([
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html.H4('Titulaires différents'),
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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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