mirror of
https://gitlab.com/CIEFWorldwideSdnBhd/cief-dashboard.git
synced 2026-08-24 23:14:13 +00:00
shangqian22
112 lines
4.0 KiB
Python
112 lines
4.0 KiB
Python
from app import *
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# data
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df=pd.read_csv('data/warehouse2.csv',parse_dates=['Date'])
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# marks
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date_list=df.loc[:,"Date"].dt.strftime('%Y%m').unique()
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last_month=(df.loc[:,"Date"].max()+pd.Timedelta(30, unit='D')).strftime('%Y%m')
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date_list=np.append(date_list,last_month)
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date_index=list(range(len(date_list)))
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colors = {
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'background': '#111111',
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'text': '#7FDBFF'}
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layout = html.Div([
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html.H1('Warehouse information'),
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dcc.Graph(id='output-cbm'),
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dcc.Graph(id='output-ctn'),
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dbc.Row([
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dbc.Col(dcc.Graph(id='output-destination_port')),
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dbc.Col(dcc.Graph(id='output-remark')),
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dbc.Col(dcc.Graph(id='output-delivery_status'))
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]),
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dbc.Row([
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dbc.Col(
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dcc.RangeSlider(
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id='input-month',
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min=date_index[0],
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max=date_index[-1],
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step=1,
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marks=dict(zip(date_index,date_list)),
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value=[date_index[-4],date_index[-1]]
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)
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),
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dbc.Col(
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dbc.Button("Update Information", id="input-update", className="mr-2")
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)
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])
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])
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@app.callback(
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[Output('output-cbm', 'figure'),
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Output('output-ctn', 'figure'),
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Output('output-destination_port', 'figure'),
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Output('output-delivery_status', 'figure'),
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Output('output-remark', 'figure')],
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Input('input-update', 'n_clicks'),
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State('input-month', 'value')
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)
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def update_figure(n_clicks,selected_month):
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start_date=date_list[selected_month[0]]
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start_date=pd.to_datetime(start_date,format='%Y%m')
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end_date=date_list[selected_month[1]]
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end_date=pd.to_datetime(end_date,format='%Y%m')
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filtered_df = df.loc[df.loc[:,'Date'] >= start_date]
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filtered_df = filtered_df.loc[filtered_df.loc[:,'Date'] <= end_date]
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fig_cbm = px.bar(filtered_df, x="Date", y="CBM",color="CBM",hover_data=['Daily CBM','Marking'])
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fig_cbm.update_layout(
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plot_bgcolor=colors['background'],
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paper_bgcolor=colors['background'],
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font_color=colors['text'])
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fig_ctn = px.bar(filtered_df, x="Date", y="CTN",color="CTN",hover_data=['Daily CTN','Marking'])
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fig_ctn.update_layout(
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plot_bgcolor=colors['background'],
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paper_bgcolor=colors['background'],
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font_color=colors['text'])
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# get destination port count
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destination_port_count=filtered_df.loc[:,'Destination port'].groupby(by=filtered_df.loc[:,'Destination port']).count()
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destination_port_count=pd.DataFrame(destination_port_count)
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destination_port_count.columns=['Count']
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destination_port_count.reset_index(inplace=True)
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fig_destination_port = px.pie(destination_port_count, values='Count', names='Destination port',title='Destination port')
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fig_destination_port.update_layout(
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plot_bgcolor=colors['background'],
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paper_bgcolor=colors['background'],
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font_color=colors['text'])
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# delivery status
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delivery_status_count=filtered_df.loc[:,'Delivery status'].groupby(by=filtered_df.loc[:,'Delivery status']).count()
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delivery_status_count=pd.DataFrame(delivery_status_count)
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delivery_status_count.columns=['Count']
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delivery_status_count.reset_index(inplace=True)
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fig_delivery_status = px.pie(delivery_status_count, values='Count', names='Delivery status',title='Delivery status')
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fig_delivery_status.update_layout(
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plot_bgcolor=colors['background'],
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paper_bgcolor=colors['background'],
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font_color=colors['text'])
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# get remark count
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remark_count=filtered_df.loc[:,'Remark'].groupby(by=filtered_df.loc[:,'Remark']).count()
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remark_count=pd.DataFrame(remark_count)
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remark_count.columns=['Count']
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remark_count.reset_index(inplace=True)
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fig_remark = px.pie(remark_count, values='Count', names='Remark',hover_data=['Count'],title='Remark')
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fig_remark.update_layout(
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plot_bgcolor=colors['background'],
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paper_bgcolor=colors['background'],
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font_color=colors['text'])
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return(fig_cbm,fig_ctn,fig_destination_port,fig_delivery_status,fig_remark)
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