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chore: import upstream snapshot with attribution
2026-07-13 12:39:59 +08:00

69 lines
2.0 KiB
Python

from prefab_ui.app import PrefabApp
from prefab_ui.components import (
Badge,
Column,
DataTable,
DataTableColumn,
Row,
Separator,
)
from prefab_ui.components.charts import BarChart, ChartSeries
from prefab_ui.components.metric import Metric
monthly = [
{"month": "Jan", "revenue": 48200, "costs": 31000},
{"month": "Feb", "revenue": 52100, "costs": 32500},
{"month": "Mar", "revenue": 61800, "costs": 34200},
{"month": "Apr", "revenue": 58400, "costs": 33800},
]
deals = [
{"account": "Acme Corp", "value": "$84,000", "stage": "Won"},
{"account": "Globex Inc", "value": "$52,000", "stage": "Negotiation"},
{"account": "Initech", "value": "$31,500", "stage": "Proposal"},
{"account": "Wayne Enterprises", "value": "$45,000", "stage": "Lost"},
]
rows = [
{
"account": d["account"],
"value": d["value"],
"stage": Badge(
d["stage"],
variant="success"
if d["stage"] == "Won"
else "destructive"
if d["stage"] == "Lost"
else "secondary",
),
}
for d in deals
]
total = sum(m["revenue"] for m in monthly)
with PrefabApp() as app:
with Column(gap=4, css_class="p-6"):
with Row(gap=6):
Metric(label="Revenue (Q1-Q4)", value=f"${total:,}")
Metric(label="Deals", value=f"{len(deals)}")
BarChart(
data=monthly,
series=[
ChartSeries(data_key="revenue", label="Revenue"),
ChartSeries(data_key="costs", label="Costs"),
],
x_axis="month",
show_legend=True,
height=200,
)
Separator()
DataTable(
columns=[
DataTableColumn(key="account", header="Account", sortable=True),
DataTableColumn(key="value", header="Value", sortable=True),
DataTableColumn(key="stage", header="Stage"),
],
rows=rows,
)