def filter_container():
filter_container = html.Div([
dbc.Row([
dbc.Col([
dash_utils.get_filter_dropdown(
DROPDOWN_CATEGORIE_LIST_ID, DIV_CATEGORIE_LIST_ID, CHECKBOX_CATEGORIE_LIST_ID, _all_categories,
_('Categories'))
], sm=12, md=6, lg=3),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_abc_list_id, div_abc_list_id, checkbox_abc_list_id, _all_abc_segmentation, _('ABC Segmentation'))
], sm=12, md=6, lg=3),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_fmr_list_id, div_fmr_list_id, checkbox_fmr_list_id, _all_fmr_segmentation,
_('FMR Segmentation')),
html.Div(id="number-out"),
], sm=12, md=6, lg=3),
dbc.Col([
dash_utils.get_filter_dropdown(
DROPDOWN_CUSTOMER_LIST_ID, DIV_CUSTOMER_LIST_ID, CHECKBOX_CUSTOMER_LIST_ID, _all_customers,
_('Customers'),select_all=False,multi=False),
html.Div(id="number-out"),
], sm=12, md=6, lg=3),
dbc.Col([
dash_utils.get_date_range(
INPUT_DATE_RANGE_ID,
label=_('Time horizon'),
year_range=2
),
], sm=12, md=6, lg=6),
]),
html.Details([
html.Summary(_('Products')),
dbc.Col([
dash_utils.get_filter_dropdown(
DROPDOWN_PRODUCT_LIST_ID, DIV_PRODUCT_LIST_ID, CHECKBOX_PRODUCT_LIST_ID, _all_products, '')
], sm=12, md=12, lg=12),
], id=DETAILS_PRODUCT_LIST_ID, open=False),
])
return filter_container
def filter_container():
filter_container = html.Div([
dbc.Row([
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_categorie_list_id, div_categorie_list_id, checkbox_categorie_list_id, _all_categories,
_('Categories'))
], sm=12, md=6, lg=3),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_abc_list_id, div_abc_list_id, checkbox_abc_list_id, _all_abc_segmentation, _('ABC Segmentation'))
], sm=12, md=6, lg=3),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_fmr_list_id, div_fmr_list_id, checkbox_fmr_list_id, _all_fmr_segmentation,
_('FMR Segmentation')),
html.Div(id="number-out"),
], sm=12, md=6, lg=3),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_customer_list_id, div_customer_list_id, checkbox_customer_list_id, _all_customers,
_('Customers'),select_all=False,multi=False)
], sm=12, md=6, lg=3),
dbc.Col([
dash_utils.get_date_range(
input_date_range_id,
label=_('Time horizon'),
year_range=2
),
], sm=12, md=6, lg=6),
]),
html.Details([
html.Summary(_('Products')),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_product_list_id, div_product_list_id, checkbox_product_list_id, _all_products, '')
], sm=12, md=12, lg=12),
], id=details_product_list_id, open=False),
])
return filter_container
def filter_container():
filter_container = html.Div([
dbc.Row([
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_categorie_list_id, div_categorie_list_id, checkbox_categorie_list_id, _all_categories,
'Categories')
], sm=12, md=6, lg=4),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_statut_list_id, div_statut_list_id, checkbox_statut_list_id, _all_status, 'Status')
], sm=12, md=6, lg=4),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_customer_list_id, div_customer_list_id, checkbox_customer_list_id, _all_customers,
'Customers')
], sm=12, md=6, lg=4),
dbc.Col([
dash_utils.get_date_range(
input_date_range_id,
label=_('Time horizon'),
year_range=2
),
], sm=12, md=6, lg=6),
]),
html.Details([
html.Summary(_('Products')),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_product_list_id, div_product_list_id, checkbox_product_list_id, _all_products, '')
], sm=12, md=12, lg=12),
], id=details_product_list_id, open=False),
])
return filter_container
def filter_container():
filter_container = html.Div([
dbc.Row([
dbc.Col([
dash_utils.get_category_dropdown(
dropdown_categories_id, div_checklist_category_id,
checklist_select_all_categories_id),
],
sm=12,
md=6,
lg=3),
dbc.Col([
dash_utils.get_product_dropdown(
dropdown_products_id, div_checklist_id,
checklist_select_all_products_id),
],
sm=12,
md=6,
lg=3),
dbc.Col([
dash_utils.get_group_by_dropdown(dropdown_group_by_field_id),
],
sm=12,
md=6,
lg=3),
dbc.Col([
dash_utils.get_date_range(input_period_date_range_id,
label='Inventory range date',
year_range=5),
],
sm=12,
md=6,
lg=3),
]),
])
return filter_container
def filter_container():
filter_container = html.Div([
dbc.Row([
dbc.Col([
dash_utils.get_category_dropdown(
dropdown_categories_id, div_checklist_category_id,
checklist_select_all_categories_id),
],
sm=12,
md=6,
lg=3),
dbc.Col([
dash_utils.get_product_dropdown(
dropdown_products_id, div_checklist_id,
checklist_select_all_products_id),
],
sm=12,
md=6,
lg=3),
dbc.Col([
dash_utils.get_group_by_dropdown(dropdown_group_by_field_id),
dash_utils.get_kind_dropdown(
dropdown_avg_quantity_period_id,
label='Select avg. quantity period'),
dbc.FormGroup([
dbc.Checklist(
options=[
{
'label': 'Include Weekends',
'value': True
},
],
value=[True],
id=bool_include_weekend_id,
inline=True,
switch=True,
),
]),
dash_utils.get_kind_dropdown(radioitems_avg_sale_period_id,
label='Select avg. sale period'),
],
sm=12,
md=6,
lg=3),
dbc.Col([
dash_utils.get_date_range(input_date_range_id,
label='Select range date',
year_range=5),
dash_utils.get_date_range(input_avg_sale_date_range_id,
label='Select avg sale date range',
year_range=5),
dbc.FormGroup([
dbc.Label('Chart type'),
dbc.RadioItems(
id=radioitems_chart_type_id,
options=[{
'label': 'Stack',
'value': 'stack'
}, {
'label': 'Group',
'value': 'group'
}],
value='stack',
inline=True,
)
]),
],
sm=12,
md=6,
lg=3),
]),
dbc.Row([
dbc.Col([
dbc.Label('Select Date Interval'),
dcc.Input(
id=input_dio_low_id,
type='number',
placeholder='DIO low value',
value=1,
),
dcc.Input(
id=input_dio_high_id,
type='number',
value=2,
)
]),
])
])
return filter_container
def filter_container():
filter_container = html.Div([
dbc.Row([
dbc.Col([
dash_utils.get_group_by_distribution_dropdown(
dropdown_group_by_distribution_field_id),
],
sm=12,
md=4,
lg=4),
dbc.Col([
dash_utils.get_group_by_product_dropdown(
dropdown_group_by_product_field_id),
],
sm=12,
md=4,
lg=4),
dbc.Col([
dash_utils.get_kind_dropdown(
dropdown_kind_id, label='Grouping period', value='day'),
],
sm=12,
md=4,
lg=4),
dbc.Col([
dbc.Label('Show by'),
dcc.Dropdown(
id=dropdown_show_by_id,
options=[
{
'label': 'Quantity (Unit)',
'value': 'quantity'
},
{
'label': 'Quantity (Package)',
'value': 'package'
},
{
'label': 'Quantity (Pallet)',
'value': 'pallet'
},
{
'label': 'Cost (DH)',
'value': 'cost'
},
{
'label': 'Weight (Kg)',
'value': 'weight'
},
{
'label': 'Volume (m3)',
'value': 'volume'
},
],
value='quantity',
),
],
sm=12,
md=4,
lg=4),
dbc.Col([
dbc.Label('Forecast version'),
dcc.Dropdown(
id=dropdown_forecast_version_id,
placeholder='Forecasting version',
options=[{
'label': dt,
'value': dt
} for dt in forecast_version_list],
value=[
forecast_version_list[0]
if forecast_version_list else None
],
),
],
sm=12,
md=4,
lg=4),
dbc.Col([
dash_utils.get_date_range(
input_date_range_id, label='Time horizon', year_range=5),
],
sm=12,
md=4,
lg=4),
])
])
return filter_container
def filter_container():
filter_container = html.Div([
dbc.Row([
html.Details([
html.Summary(_('Products')),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_product_list_id, div_product_list_id, checkbox_product_list_id, _all_products, '')
], sm=12, md=12, lg=12),
], id=details_product_list_id, open=False),
]),
dbc.Row([
html.Details([
html.Summary(_('Products type')),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_product_range_list_id, div_product_range_list_id, checkbox_product_range_list_id, _all_products_type, '')
], sm=12, md=12, lg=12),
], id=details_product_range_list_id, open=False),
]),
dbc.Row([
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_warehouse_list_id, div_warehouse_list_id, checkbox_warehouse_list_id, _all_warehouses, _('Warehouses'))
], sm=12, md=6, lg=3),
dbc.Col([
dash_utils.get_filter_dropdown(
dropdown_circuit_list_id, div_circuit_list_id, checkbox_circuit_list_id, _all_circuits, _('Circuits'))
], sm=12, md=6, lg=2),
# dbc.Col([
# dash_utils.get_filter_dropdown(
# dropdown_customer_list_id, div_customer_list_id, checkbox_customer_list_id, _all_customers, _('Customers'))
# ], sm=12, md=6, lg=3),
dbc.Col([
dbc.Label(_('Customers')),
dcc.Dropdown(
id=dropdown_customer_list_id,
options=_all_customers,
value='',
),
], sm=12, md=6, lg=2),
dbc.Col([
dbc.Label(_('Forecast version')),
dcc.Dropdown(
id=dropdown_version_list_id,
placeholder=_('Forecast version'),
options=_all_versions,
value=_all_versions[0]['value'] if _all_versions else None,
),
], sm=12, md=6, lg=2),
dbc.Col([
dash_utils.get_date_range(
input_date_range_id,
label=_('Time horizon'),
year_range=1
),
], sm=12, md=6, lg=3),
]),
])
return filter_container
