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4cfea5b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 | """AG Grid table configurations for the Superstore BI dashboard."""
from dash_ag_grid import AgGrid
from data_processing import make_customer_sales_pareto_df
from vizro.models.types import capture
from vizro.tables import dash_ag_grid
# TODO: check and refactor
CELL_STYLE_PRODUCT = {
"styleConditions": [
{
"condition": "params.value < -0.5",
"style": {"backgroundColor": "#e33b3b"},
},
{
"condition": "params.value >= -0.5 && params.value <= 0",
"style": {"backgroundColor": "#f19791"},
},
{
"condition": "params.value > 0 && params.value <= 0.30",
"style": {"backgroundColor": "#728aff"},
},
{
"condition": "params.value > 0.30",
"style": {"backgroundColor": "#2251ff"},
},
]
}
COLUMN_DEFS_PRODUCT = [
{"field": "Sub-Category", "cellDataType": "text", "headerName": "Sub-Category", "flex": 3},
{
"field": "Profit",
"cellDataType": "number",
"flex": 2,
"valueFormatter": {"function": "d3.format('$,.2f')(params.value)"},
},
{
"field": "Sales",
"cellDataType": "number",
"flex": 2,
"valueFormatter": {"function": "d3.format('$,.2f')(params.value)"},
},
{
"field": "Profit Margin",
"flex": 2,
"cellDataType": "number",
"valueFormatter": {"function": "d3.format('.0%')(params.value)"},
"cellStyle": CELL_STYLE_PRODUCT,
},
]
@capture("ag_grid")
def orders_ag_grid(data_frame):
"""Create custom AG Grid table for orders with conditional formatting.
Args:
data_frame: Source dataframe containing order data.
Returns:
AgGrid: Configured AG Grid component with custom column definitions and styling.
"""
data_frame["Profit Ratio"] = (data_frame["Profit"] / data_frame["Sales"]).round(3)
column_defs_orders = [
{"headerName": "Order ID", "field": "Order ID", "minWidth": 150},
{"headerName": "Status", "field": "Order Status", "minWidth": 150, "cellRenderer": "statusCellRenderer"},
{
"headerName": "Segment",
"field": "Segment",
"minWidth": 140,
},
{"headerName": "Customer", "field": "Customer Name", "minWidth": 170},
{"headerName": "State", "field": "State", "minWidth": 150},
{"headerName": "City", "field": "City", "minWidth": 150},
{"headerName": "Category", "field": "Category", "minWidth": 150},
{"headerName": "Sub-Category", "field": "Sub-Category", "minWidth": 150},
{"headerName": "Sales", "field": "Sales", "valueFormatter": {"function": "d3.format('$,.2f')(params.value)"}},
{
"headerName": "Profit",
"field": "Profit",
"valueFormatter": {"function": "d3.format('$,.2f')(params.value)"},
},
{
"headerName": "Profit Ratio",
"field": "Profit Ratio",
"minWidth": 140,
"valueFormatter": {"function": "d3.format('.1%')(params.value)"},
"cellStyle": {
"styleConditions": [
{
"condition": "Number(params.value) < -0.5",
"style": {
"backgroundColor": "#e33b3b",
"color": "white",
"borderRadius": "18px",
"padding": "4px",
"fontWeight": "600",
"justifyContent": "center",
"alignItems": "center",
"display": "flex",
"marginTop": "8px",
"height": "30px",
},
},
{
"condition": "Number(params.value) >= -0.5 && Number(params.value) < 0",
"style": {
"backgroundColor": "#f19791",
"color": "white",
"borderRadius": "18px",
"padding": "4px",
"fontWeight": "600",
"justifyContent": "center",
"alignItems": "center",
"display": "flex",
"marginTop": "8px",
"height": "30px",
},
},
{
"condition": "Number(params.value) >= 0 && Number(params.value) < 0.30",
"style": {
"backgroundColor": "#728aff",
"color": "white",
"borderRadius": "18px",
"padding": "4px",
"fontWeight": "600",
"justifyContent": "center",
"alignItems": "center",
"display": "flex",
"marginTop": "8px",
"height": "30px",
},
},
{
"condition": "Number(params.value) >= 0.30",
"style": {
"backgroundColor": "#2251ff",
"color": "white",
"borderRadius": "18px",
"padding": "4px",
"fontWeight": "600",
"justifyContent": "center",
"alignItems": "center",
"display": "flex",
"marginTop": "8px",
"height": "30px",
},
},
]
},
},
]
aggrid = AgGrid(
columnDefs=column_defs_orders,
defaultColDef={"resizable": True, "sortable": True, "filter": True, "minWidth": 30, "flex": 1},
style={"height": "800px", "width": "100%"},
rowData=data_frame.to_dict("records"),
dashGridOptions={
"rowHeight": 55,
"animateRows": True,
"suppressMovableColumns": True,
"pagination": True,
"paginationPageSize": 20,
},
dangerously_allow_code=True,
)
return aggrid
@capture("ag_grid")
def customers_ag_grid(data_frame):
data_frame = make_customer_sales_pareto_df(data_frame)
# Convert back to fraction since percentage is handled by cellDataType=percent.
data_frame["Cumulative %"] = data_frame["Cumulative % of Sales"] / 100
return dash_ag_grid(
data_frame,
columnDefs=[
{"field": "Rank", "width": 50},
{"field": "Customer Name"},
{"field": "Sales", "cellDataType": "dollar"},
{"field": "Cumulative %", "cellDataType": "percent", "width": 130},
],
)()
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