mirror of
https://github.com/PrefectHQ/fastmcp.git
synced 2026-08-09 07:09:11 +02:00
Add sales dashboard and live system monitor examples, bump prefab-ui to 0.17 (#3696)
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parent
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5 changed files with 456 additions and 14 deletions
233
examples/apps/sales_dashboard/sales_dashboard_server.py
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233
examples/apps/sales_dashboard/sales_dashboard_server.py
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from prefab_ui.components import (
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Card,
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CardContent,
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Column,
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Grid,
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Heading,
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Metric,
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Muted,
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Row,
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Separator,
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Text,
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)
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from prefab_ui.components.charts import AreaChart, ChartSeries, PieChart
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from prefab_ui.components.data_table import DataTable, DataTableColumn
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from fastmcp import FastMCP
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mcp = FastMCP("Sales Dashboard")
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MONTHLY_REVENUE = [
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{"month": "Jul", "new_business": 182_000, "expansion": 74_000, "renewal": 210_000},
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{"month": "Aug", "new_business": 195_000, "expansion": 81_000, "renewal": 215_000},
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{"month": "Sep", "new_business": 224_000, "expansion": 93_000, "renewal": 208_000},
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{"month": "Oct", "new_business": 210_000, "expansion": 88_000, "renewal": 222_000},
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{"month": "Nov", "new_business": 248_000, "expansion": 102_000, "renewal": 230_000},
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{"month": "Dec", "new_business": 271_000, "expansion": 115_000, "renewal": 238_000},
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{"month": "Jan", "new_business": 235_000, "expansion": 97_000, "renewal": 241_000},
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{"month": "Feb", "new_business": 262_000, "expansion": 108_000, "renewal": 245_000},
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{"month": "Mar", "new_business": 289_000, "expansion": 121_000, "renewal": 252_000},
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{"month": "Apr", "new_business": 305_000, "expansion": 134_000, "renewal": 258_000},
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{"month": "May", "new_business": 318_000, "expansion": 142_000, "renewal": 263_000},
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{"month": "Jun", "new_business": 342_000, "expansion": 156_000, "renewal": 270_000},
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]
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REVENUE_BY_SEGMENT = [
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{"segment": "Enterprise", "revenue": 3_840_000},
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{"segment": "Mid-Market", "revenue": 2_160_000},
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{"segment": "SMB", "revenue": 1_440_000},
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{"segment": "Startup", "revenue": 720_000},
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]
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RECENT_DEALS = [
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{
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"company": "Meridian Health Systems",
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"amount": "$485,000",
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"stage": "Closed Won",
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"rep": "Sarah Chen",
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"close_date": "Jun 12, 2026",
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},
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{
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"company": "Atlas Financial Group",
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"amount": "$372,000",
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"stage": "Closed Won",
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"rep": "Marcus Rivera",
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"close_date": "Jun 10, 2026",
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},
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{
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"company": "Pinnacle Manufacturing",
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"amount": "$298,000",
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"stage": "Negotiation",
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"rep": "Aisha Patel",
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"close_date": "Jun 28, 2026",
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},
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{
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"company": "Crestview Logistics",
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"amount": "$264,000",
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"stage": "Proposal Sent",
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"rep": "James O'Brien",
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"close_date": "Jul 5, 2026",
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},
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{
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"company": "Northstar Retail",
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"amount": "$215,000",
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"stage": "Closed Won",
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"rep": "Sarah Chen",
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"close_date": "Jun 8, 2026",
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},
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{
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"company": "Ironclad Security",
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"amount": "$189,000",
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"stage": "Negotiation",
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"rep": "Lena Kowalski",
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"close_date": "Jul 1, 2026",
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},
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{
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"company": "Summit Analytics",
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"amount": "$176,000",
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"stage": "Closed Won",
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"rep": "Marcus Rivera",
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"close_date": "Jun 5, 2026",
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},
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{
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"company": "Brightpath Education",
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"amount": "$142,000",
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"stage": "Proposal Sent",
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"rep": "Aisha Patel",
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"close_date": "Jul 12, 2026",
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},
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{
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"company": "Vantage Media",
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"amount": "$128,000",
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"stage": "Closed Won",
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"rep": "Lena Kowalski",
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"close_date": "Jun 3, 2026",
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},
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{
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"company": "Redwood Hospitality",
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"amount": "$97,000",
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"stage": "Discovery",
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"rep": "James O'Brien",
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"close_date": "Jul 20, 2026",
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},
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]
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@mcp.tool(app=True)
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def sales_dashboard() -> Column:
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"""Company sales dashboard with KPIs, revenue trends, segment breakdown, and recent deals."""
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total_revenue = sum(
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row["new_business"] + row["expansion"] + row["renewal"]
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for row in MONTHLY_REVENUE
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)
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current_quarter = sum(
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row["new_business"] + row["expansion"] + row["renewal"]
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for row in MONTHLY_REVENUE[-3:]
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)
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prior_quarter = sum(
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row["new_business"] + row["expansion"] + row["renewal"]
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for row in MONTHLY_REVENUE[-6:-3]
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)
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growth_pct = (current_quarter - prior_quarter) / prior_quarter * 100
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with Column(gap=6, css_class="p-6") as view:
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with Row(gap=2, align="center"):
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Heading("Sales Dashboard")
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Muted("FY2026 | Last updated Jun 15, 2026")
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with Grid(columns=4, gap=4):
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with Card():
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with CardContent():
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Metric(
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label="Total Revenue",
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value=f"${total_revenue / 1_000_000:.1f}M",
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delta="+18.2% YoY",
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trend="up",
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)
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with Card():
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with CardContent():
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Metric(
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label="Quarterly Growth",
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value=f"{growth_pct:.1f}%",
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delta="+3.8pp vs prior",
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trend="up",
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)
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with Card():
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with CardContent():
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Metric(
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label="Active Customers",
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value="1,847",
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delta="+124 this quarter",
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trend="up",
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)
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with Card():
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with CardContent():
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Metric(
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label="Avg Deal Size",
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value="$236K",
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delta="+12% vs H1",
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trend="up",
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)
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with Grid(columns=3, gap=6):
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with Card(css_class="col-span-2"):
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with CardContent():
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Text(
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"Monthly Revenue",
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css_class="text-sm font-medium text-muted-foreground mb-2",
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)
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AreaChart(
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data=MONTHLY_REVENUE,
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series=[
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ChartSeries(data_key="new_business", label="New Business"),
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ChartSeries(data_key="expansion", label="Expansion"),
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ChartSeries(data_key="renewal", label="Renewal"),
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],
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x_axis="month",
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stacked=True,
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curve="smooth",
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show_legend=True,
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height=280,
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y_axis_format="compact",
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)
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with Card():
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with CardContent():
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Text(
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"Revenue by Segment",
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css_class="text-sm font-medium text-muted-foreground mb-2",
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)
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PieChart(
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data=REVENUE_BY_SEGMENT,
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data_key="revenue",
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name_key="segment",
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show_legend=True,
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inner_radius=50,
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height=280,
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)
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Separator()
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Text("Recent Deals", css_class="text-lg font-semibold")
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DataTable(
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columns=[
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DataTableColumn(key="company", header="Company", sortable=True),
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DataTableColumn(key="amount", header="Amount", sortable=True),
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DataTableColumn(key="stage", header="Stage", sortable=True),
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DataTableColumn(key="rep", header="Sales Rep", sortable=True),
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DataTableColumn(key="close_date", header="Close Date", sortable=True),
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],
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rows=RECENT_DEALS,
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search=True,
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paginated=True,
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)
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return view
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if __name__ == "__main__":
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mcp.run()
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195
examples/apps/system_monitor/system_monitor_server.py
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195
examples/apps/system_monitor/system_monitor_server.py
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"""System monitor — live CPU, memory, and disk stats from the host machine.
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Auto-refreshes every 3 seconds via SetInterval + CallTool.
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Requires psutil: pip install psutil
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Usage:
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fastmcp dev apps system_monitor_server.py
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"""
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import platform
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import time
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from datetime import datetime
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import psutil
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from prefab_ui.actions import SetInterval, SetState
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from prefab_ui.actions.mcp import CallTool
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from prefab_ui.app import PrefabApp
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from prefab_ui.components import (
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Badge,
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Card,
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CardContent,
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CardHeader,
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Column,
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Grid,
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Heading,
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Metric,
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Muted,
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Progress,
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Row,
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Select,
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SelectOption,
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Small,
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Text,
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)
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from prefab_ui.components.charts import AreaChart, ChartSeries
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from prefab_ui.components.control_flow import ForEach
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from prefab_ui.rx import RESULT, STATE, Rx
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from fastmcp import FastMCP
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from fastmcp.apps.app import FastMCPApp
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app = FastMCPApp("Monitor")
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_history: list[dict] = []
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def _collect_stats() -> dict:
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"""Collect a full snapshot of system stats."""
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cpu = psutil.cpu_percent(interval=0.1)
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mem = psutil.virtual_memory()
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disk = psutil.disk_usage("/")
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now = datetime.now().strftime("%H:%M:%S")
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_history.append({"time": now, "cpu": cpu, "memory": mem.percent})
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if len(_history) > 100:
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del _history[: len(_history) - 100]
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top_procs = []
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for p in sorted(
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psutil.process_iter(["pid", "name", "cpu_percent", "memory_percent"]),
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key=lambda p: p.info.get("cpu_percent") or 0,
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reverse=True,
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)[:6]:
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info = p.info
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top_procs.append(
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{
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"pid": info.get("pid") or 0,
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"name": info.get("name") or "unknown",
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"cpu": f"{(info.get('cpu_percent') or 0):.1f}%",
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"memory": f"{(info.get('memory_percent') or 0):.1f}%",
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}
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)
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return {
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"cpu": cpu,
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"mem_pct": mem.percent,
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"mem_used": mem.used // (1024**3),
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"mem_total": mem.total // (1024**3),
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"disk_pct": disk.percent,
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"disk_used": disk.used // (1024**3),
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"disk_total": disk.total // (1024**3),
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"uptime": _format_uptime(),
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"cores": psutil.cpu_count(),
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"platform": f"{platform.system()} {platform.machine()}",
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"hostname": platform.node(),
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"healthy": cpu < 80 and mem.percent < 90,
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"history": list(_history),
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"top_procs": top_procs,
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}
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def _format_uptime() -> str:
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elapsed = int(time.time() - psutil.boot_time())
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days, remainder = divmod(elapsed, 86400)
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hours, remainder = divmod(remainder, 3600)
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minutes, _ = divmod(remainder, 60)
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if days > 0:
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return f"{days}d {hours}h {minutes}m"
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return f"{hours}h {minutes}m"
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@app.tool()
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def refresh() -> dict:
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"""Collect fresh system stats."""
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return _collect_stats()
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@app.ui()
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def system_dashboard() -> PrefabApp:
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"""Live system dashboard with auto-refresh."""
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initial = _collect_stats()
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with PrefabApp(state={"stats": initial, "interval": "500"}) as ui:
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with Column(
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gap=6,
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css_class="p-6",
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on_mount=SetInterval(
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duration=Rx("interval"),
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on_tick=CallTool(
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"refresh",
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on_success=SetState("stats", RESULT),
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),
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),
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):
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with Row(gap=3, align="center"):
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Heading("System Monitor")
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Badge(STATE.stats.hostname, variant="outline")
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with Select(name="interval", css_class="w-32"):
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SelectOption("0.5s", value="500")
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SelectOption("1s", value="1000")
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SelectOption("5s", value="5000")
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with Grid(columns=4, gap=4):
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with Card():
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with CardContent():
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Metric(label="CPU", value=f"{STATE.stats.cpu}%")
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Progress(value=STATE.stats.cpu)
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with Card():
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with CardContent():
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Metric(label="Memory", value=f"{STATE.stats.mem_pct}%")
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Progress(value=STATE.stats.mem_pct)
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Muted(f"{STATE.stats.mem_used}GB / {STATE.stats.mem_total}GB")
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with Card():
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with CardContent():
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Metric(label="Disk", value=f"{STATE.stats.disk_pct}%")
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Progress(value=STATE.stats.disk_pct)
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Muted(f"{STATE.stats.disk_used}GB / {STATE.stats.disk_total}GB")
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with Card():
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with CardContent():
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Metric(label="Uptime", value=STATE.stats.uptime)
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Muted(f"{STATE.stats.cores} cores")
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with Grid(columns=[2, 1], gap=4):
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with Card():
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with CardHeader():
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Text("CPU & Memory", css_class="text-sm font-medium")
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with CardContent():
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AreaChart(
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data=STATE.stats.history,
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series=[
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ChartSeries(data_key="cpu", label="CPU %"),
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ChartSeries(data_key="memory", label="Memory %"),
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],
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x_axis="time",
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curve="smooth",
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show_legend=True,
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height=220,
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animate=False,
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)
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with Card():
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with CardHeader():
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Text("Top Processes", css_class="text-sm font-medium")
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with CardContent():
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with Column(gap=2):
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with ForEach("stats.top_procs") as proc:
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with Row(justify="between", align="center"):
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with Column(gap=0):
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Small(proc.name)
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Muted(proc.pid)
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with Row(gap=2):
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Badge(proc.cpu, variant="outline")
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Badge(proc.memory, variant="outline")
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return ui
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mcp = FastMCP("System Monitor", providers=[app])
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if __name__ == "__main__":
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mcp.run()
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Reference in a new issue