Dashboard_avec_Dash_plotly_Python/callbacks.py at main · berba1995/Dashboard_avec_Dash_plotly_Python · GitHub

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from dash.dependencies import Input, Output
from app import app
from datetime import datetime as dt
from datetime import date, timedelta
from components.functions import df_pc
from components.functions import update_first_datatable, update_graph,df_pc,update_pie

#callback de mise à jour de la table de données à partir du sélécteur de date
@app.callback(Output('table', 'data'),
	[Input('my-date-picker-range-publishing', 'start_date'),
	 Input('my-date-picker-range-publishing', 'end_date')
     ])
def update_data_1(start_date, end_date):

	data_table = update_first_datatable(start_date, end_date,'defaut')
	return data_table

#callback de mise à jour des graphs(line et bar) à partir des cases à cocher
@app.callback(
   Output('publishing', 'figure'),
   [Input('radio-button-publishing', 'value')])
def update_publishing(value):
    start_date=(df_pc['dates'].max() - timedelta(28)).date()
    start_date= dt.strftime(start_date, '%Y-%m-%d')
    end_date=df_pc['dates'].max().date()
    end_date= dt.strftime(end_date, '%Y-%m-%d')
    if value=='all':
        start_date=df_pc['dates'].min().date()
        start_date= dt.strftime(start_date, '%Y-%m-%d')
        end_date=df_pc['dates'].max().date()
        end_date= dt.strftime(end_date, '%Y-%m-%d')
        fig=update_graph(start_date, end_date,'trafic')
        return fig
    elif value=='trois_mois':
        end_date_obj= dt.strptime(end_date, '%Y-%m-%d')
        start_date=end_date_obj.date()-timedelta(92)
        start_date=start_date.strftime("%Y-%m-%d")
        fig = update_graph(start_date, end_date,'trafic')
        return fig
    elif value=='six_mois':
        end_date_obj= dt.strptime(end_date, '%Y-%m-%d')
        start_date=end_date_obj.date()-timedelta(186)
        start_date=start_date.strftime("%Y-%m-%d")
        fig = update_graph(start_date, end_date,'trafic')
        return fig
    elif value=='un_an':
        end_date_obj= dt.strptime(end_date, '%Y-%m-%d')
        start_date=end_date_obj.date()-timedelta(365)
        start_date=start_date.strftime("%Y-%m-%d")
        fig = update_graph(start_date, end_date,'trafic')
        return fig
    else:
	    fig = update_graph(start_date, end_date,'trafic')
	    return fig


# callback de mise à jour du graph circulaire à partir des cases à cocher
@app.callback(
   Output('pieGraph', 'figure'),
   [Input('radio-button-publishing', 'value')])

def update_publishing(value):
    start_date=(df_pc['dates'].max() - timedelta(28)).date()
    start_date= dt.strftime(start_date, '%Y-%m-%d')
    end_date=df_pc['dates'].max().date()
    end_date= dt.strftime(end_date, '%Y-%m-%d')
    if value=='all':
        start_date=df_pc['dates'].min().date()
        start_date= dt.strftime(start_date, '%Y-%m-%d')
        end_date=df_pc['dates'].max().date()
        end_date= dt.strftime(end_date, '%Y-%m-%d')
        fig=update_pie(start_date, end_date,'trafic')
        return fig
    elif value=='trois_mois':
        end_date_obj= dt.strptime(end_date, '%Y-%m-%d')
        start_date=end_date_obj.date()-timedelta(92)
        start_date=start_date.strftime("%Y-%m-%d")
        fig = update_pie(start_date, end_date,'trafic')
        return fig
    elif value=='six_mois':
        end_date_obj= dt.strptime(end_date, '%Y-%m-%d')
        start_date=end_date_obj.date()-timedelta(186)
        start_date=start_date.strftime("%Y-%m-%d")
        fig = update_pie(start_date, end_date,'trafic')
        return fig
    elif value=='un_an':
        end_date_obj= dt.strptime(end_date, '%Y-%m-%d')
        start_date=end_date_obj.date()-timedelta(365)
        start_date=start_date.strftime("%Y-%m-%d")
        fig = update_pie(start_date, end_date,'trafic')
        return fig

    else:
	    fig = update_pie(start_date, end_date,'trafic')
	    return fig