Add per-metric forecast burndown chart to CCP Metrics page

New feature: combined historical + forecast burndown chart with metric
selector on the CCP Metrics page. Shows stacked bars (total assets vs
non-compliant) with a compliance percentage trend line. A bold divider
separates actual historical data from projected future remediation.
Forecast assumes constant asset count and on-schedule remediation plans.

Backend:
- computeMetricForecastBurndown helper in vclHelpers.js (pure function)
- GET /api/compliance/vcl-multi/metrics-list endpoint
- GET /api/compliance/vcl-multi/metric/:metricId/forecast-burndown endpoint

Frontend:
- MetricSelector dropdown with device counts per metric
- ForecastBurndownChart using recharts ComposedChart (Bar + Line + ReferenceLine)
- Forecast bars render at 50% opacity to distinguish from actuals
- Race condition handling for rapid metric switching
- Queue panel width increased from 420px to 600px

Closes #18
This commit is contained in:
Jordan Ramos
2026-05-20 16:15:21 -06:00
parent df31cc3c79
commit f9b96e9040
4 changed files with 665 additions and 4 deletions

View File

@@ -388,6 +388,135 @@ function computeAggregatedBurndown(devices) {
}; };
} }
/**
* Computes per-metric forecast burndown from device records and historical snapshots.
*
* Pure function — no side effects, no database access. Suitable for property-based testing.
*
* @param {Array<{hostname: string, resolution_date: string|null}>} currentDevices
* Active non-compliant devices for the metric
* @param {number} totalAssets
* Total device count in scope for this metric (from snapshot or summary)
* @param {Array<{month: string, total_assets: number, non_compliant: number, compliance_pct: number}>} historicalSnapshots
* Pre-computed historical data points (up to 4 months)
* @returns {{
* historical: Array<{month: string, total_assets: number, non_compliant: number, compliance_pct: number}>,
* forecast: Array<{month: string, total_assets: number, non_compliant: number, compliance_pct: number}>,
* current_snapshot: {total_assets: number, non_compliant: number, compliant: number, compliance_pct: number, blockers: number, with_dates: number}
* }}
*/
function computeMetricForecastBurndown(currentDevices, totalAssets, historicalSnapshots) {
// Compute compliance_pct helper
function calcCompliancePct(total, nc) {
if (total === 0) return 0;
return Math.round(((total - nc) / total) * 1000) / 10;
}
// Historical — pass through as-is
const historical = (historicalSnapshots || []).map(snap => ({
month: snap.month,
total_assets: snap.total_assets,
non_compliant: snap.non_compliant,
compliance_pct: snap.compliance_pct,
}));
// Requirement 3.7: empty currentDevices → empty forecast, zeroed snapshot except total_assets
if (!currentDevices || currentDevices.length === 0) {
return {
historical,
forecast: [],
current_snapshot: {
total_assets: totalAssets,
non_compliant: 0,
compliant: 0,
compliance_pct: 0,
blockers: 0,
with_dates: 0,
},
};
}
const nonCompliant = currentDevices.length;
// Partition devices into blockers (no resolution_date) and with_dates
const blockers = currentDevices.filter(d => d.resolution_date == null).length;
const withDates = nonCompliant - blockers;
// Current snapshot
const compliant = totalAssets - nonCompliant;
const currentCompliancePct = calcCompliancePct(totalAssets, nonCompliant);
const current_snapshot = {
total_assets: totalAssets,
non_compliant: nonCompliant,
compliant: compliant,
compliance_pct: currentCompliancePct,
blockers: blockers,
with_dates: withDates,
};
// If no devices have resolution dates, return empty forecast
if (withDates === 0) {
return { historical, forecast: [], current_snapshot };
}
// Determine current month (YYYY-MM)
const now = new Date();
const currentYear = now.getFullYear();
const currentMonth = now.getMonth(); // 0-indexed
function formatMonth(year, month) {
return `${year}-${String(month + 1).padStart(2, '0')}`;
}
const currentMonthStr = formatMonth(currentYear, currentMonth);
// Bucket devices with resolution dates by their resolution month
// Past-due dates (month before current month) are treated as remediated in current month
const buckets = {};
for (const device of currentDevices) {
if (device.resolution_date == null) continue;
const resMonth = device.resolution_date.slice(0, 7); // YYYY-MM
if (resMonth < currentMonthStr) {
// Past-due: treat as remediated in current month
buckets[currentMonthStr] = (buckets[currentMonthStr] || 0) + 1;
} else {
buckets[resMonth] = (buckets[resMonth] || 0) + 1;
}
}
// Generate forecast months starting from current month, up to 12 months max
const forecast = [];
let remainingNonCompliant = nonCompliant;
for (let i = 0; i < 12; i++) {
const forecastYear = currentYear + Math.floor((currentMonth + i) / 12);
const forecastMonth = (currentMonth + i) % 12;
const monthStr = formatMonth(forecastYear, forecastMonth);
// Decrement by devices remediated in this month
if (buckets[monthStr]) {
remainingNonCompliant -= buckets[monthStr];
}
const pct = calcCompliancePct(totalAssets, remainingNonCompliant);
forecast.push({
month: monthStr,
total_assets: totalAssets,
non_compliant: remainingNonCompliant,
compliance_pct: pct,
});
// Terminate early if all dated devices are remediated (only blockers remain)
if (remainingNonCompliant <= blockers) {
break;
}
}
return { historical, forecast, current_snapshot };
}
module.exports = { module.exports = {
truncateText, truncateText,
validateRemediationPlan, validateRemediationPlan,
@@ -404,4 +533,5 @@ module.exports = {
computeVerticalBurndown, computeVerticalBurndown,
deduplicateByHostname, deduplicateByHostname,
computeAggregatedBurndown, computeAggregatedBurndown,
computeMetricForecastBurndown,
}; };

View File

@@ -7,7 +7,7 @@ const fs = require('fs');
const { spawn } = require('child_process'); const { spawn } = require('child_process');
const pool = require('../db'); const pool = require('../db');
const { requireAuth, requireGroup } = require('../middleware/auth'); const { requireAuth, requireGroup } = require('../middleware/auth');
const { parseVerticalFilename, computeVerticalBurndown, isValidDateString, categorizeNonCompliant, deduplicateByHostname, computeAggregatedBurndown } = require('../helpers/vclHelpers'); const { parseVerticalFilename, computeVerticalBurndown, isValidDateString, categorizeNonCompliant, deduplicateByHostname, computeAggregatedBurndown, computeMetricForecastBurndown } = require('../helpers/vclHelpers');
const logAudit = require('../helpers/auditLog'); const logAudit = require('../helpers/auditLog');
const PARSER_SCRIPT = path.join(__dirname, '../scripts/parse_compliance_xlsx.py'); const PARSER_SCRIPT = path.join(__dirname, '../scripts/parse_compliance_xlsx.py');
@@ -1483,6 +1483,194 @@ function createVCLMultiVerticalRouter(upload) {
} }
}); });
// -----------------------------------------------------------------------
// GET /metrics-list — Distinct metrics with active non-compliant device counts
// -----------------------------------------------------------------------
/**
* GET /metrics-list
* Returns the list of distinct metrics that have at least one active non-compliant
* device with a non-null vertical. Used by the MetricSelector component.
*
* @method GET
* @route /metrics-list
*
* @response 200
* Array<{ metric_id: string, device_count: number }>
* @response 500 { error: string }
*/
router.get('/metrics-list', async (req, res) => {
try {
const { rows } = await pool.query(`
SELECT metric_id, COUNT(DISTINCT hostname) AS device_count
FROM compliance_items
WHERE status = 'active' AND vertical IS NOT NULL
GROUP BY metric_id
ORDER BY metric_id ASC
`);
res.json(rows.map(r => ({ metric_id: r.metric_id, device_count: parseInt(r.device_count, 10) })));
} catch (err) {
console.error('[VCL Multi] GET /metrics-list error:', err.message);
res.status(500).json({ error: 'Failed to fetch metrics list' });
}
});
// -----------------------------------------------------------------------
// GET /metric/:metricId/forecast-burndown — Per-metric forecast burndown
// -----------------------------------------------------------------------
/**
* GET /metric/:metricId/forecast-burndown
* Returns combined historical + forecast burndown data for a specific metric.
* Historical data is derived from compliance_snapshots using the ratio method.
* Forecast data is computed by the computeMetricForecastBurndown helper.
*
* @method GET
* @route /metric/:metricId/forecast-burndown
* @param {string} metricId — metric identifier (e.g., "2.3.5")
*
* @response 200
* {
* metric_id: string,
* historical: Array<{ month: string, total_assets: number, non_compliant: number, compliance_pct: number }>,
* forecast: Array<{ month: string, total_assets: number, non_compliant: number, compliance_pct: number }>,
* current_snapshot: { total_assets: number, non_compliant: number, compliant: number, compliance_pct: number, blockers: number, with_dates: number }
* }
* @response 500 { error: string }
*/
router.get('/metric/:metricId/forecast-burndown', async (req, res) => {
const metricId = req.params.metricId;
try {
// 1. Query active devices for this metric
const { rows: activeDevices } = await pool.query(
`SELECT hostname, resolution_date, vertical
FROM compliance_items
WHERE metric_id = $1 AND status = 'active' AND vertical IS NOT NULL`,
[metricId]
);
// If no active devices, return empty response
if (activeDevices.length === 0) {
return res.json({
metric_id: metricId,
historical: [],
forecast: [],
current_snapshot: {
total_assets: 0,
non_compliant: 0,
compliant: 0,
compliance_pct: 0,
blockers: 0,
with_dates: 0,
},
});
}
// 2. Determine the vertical from active devices (use the first one found)
const vertical = activeDevices[0].vertical;
// 3. Compute date range for 3 months of historical snapshots
const now = new Date();
const currentMonth = `${now.getFullYear()}-${String(now.getMonth() + 1).padStart(2, '0')}`;
// 3 months prior to current month
const threeMonthsAgo = new Date(now.getFullYear(), now.getMonth() - 3, 1);
const startMonth = `${threeMonthsAgo.getFullYear()}-${String(threeMonthsAgo.getMonth() + 1).padStart(2, '0')}`;
// 4. Query historical snapshots for the vertical (3 months prior, excluding current month)
const { rows: snapshots } = await pool.query(
`SELECT snapshot_month AS month, total_devices AS total_assets,
non_compliant, compliance_pct::numeric AS compliance_pct
FROM compliance_snapshots
WHERE vertical = $1 AND snapshot_month >= $2 AND snapshot_month < $3
ORDER BY snapshot_month ASC`,
[vertical, startMonth, currentMonth]
);
// 5. Get total non-compliant devices for the vertical (for ratio computation)
const { rows: verticalNcRows } = await pool.query(
`SELECT COUNT(DISTINCT hostname) AS total_nc
FROM compliance_items
WHERE vertical = $1 AND status = 'active'`,
[vertical]
);
const verticalTotalNc = parseInt(verticalNcRows[0].total_nc, 10) || 0;
// Count metric's non-compliant devices (distinct hostnames)
const metricNcCount = new Set(activeDevices.map(d => d.hostname)).size;
// 6. Compute per-metric historical non_compliant using the ratio method (Requirement 7.2)
const historicalSnapshots = snapshots.map(snap => {
const snapshotNc = parseInt(snap.non_compliant, 10) || 0;
let metricNc;
if (verticalTotalNc === 0) {
// Requirement 7.3: if vertical's total non_compliant is 0, metric's is 0
metricNc = 0;
} else {
// Ratio method: vertical_snapshot_nc * (metric_nc / vertical_total_nc)
metricNc = Math.round(snapshotNc * (metricNcCount / verticalTotalNc));
}
return {
month: snap.month,
total_assets: parseInt(snap.total_assets, 10) || 0,
non_compliant: metricNc,
compliance_pct: parseFloat(snap.compliance_pct) || 0,
};
});
// 7. Include current month as the most recent historical data point (from live data)
// Get totalAssets from the most recent snapshot's total_devices, or from live vertical count
let totalAssets = 0;
const { rows: latestSnapshotRows } = await pool.query(
`SELECT total_devices
FROM compliance_snapshots
WHERE vertical = $1
ORDER BY snapshot_month DESC
LIMIT 1`,
[vertical]
);
if (latestSnapshotRows.length > 0) {
totalAssets = parseInt(latestSnapshotRows[0].total_devices, 10) || 0;
}
// Current month data point from live data
const currentMonthNc = metricNcCount;
const currentMonthCompliancePct = totalAssets > 0
? Math.round(((totalAssets - currentMonthNc) / totalAssets) * 1000) / 10
: 0;
historicalSnapshots.push({
month: currentMonth,
total_assets: totalAssets,
non_compliant: currentMonthNc,
compliance_pct: currentMonthCompliancePct,
});
// 8. Prepare currentDevices for the helper (only need hostname and resolution_date)
const currentDevices = activeDevices.map(d => ({
hostname: d.hostname,
resolution_date: d.resolution_date || null,
}));
// 9. Pass data to computeMetricForecastBurndown helper
const result = computeMetricForecastBurndown(currentDevices, totalAssets, historicalSnapshots);
// 10. Return response
res.json({
metric_id: metricId,
historical: result.historical,
forecast: result.forecast,
current_snapshot: result.current_snapshot,
});
} catch (err) {
console.error('[VCL Multi] GET /metric/:metricId/forecast-burndown error:', err.message);
res.status(500).json({ error: 'Failed to compute forecast burndown' });
}
});
return router; return router;
} }

View File

@@ -1,10 +1,9 @@
import React, { useState, useEffect, useCallback } from 'react'; import React, { useState, useEffect, useCallback, useRef } from 'react';
import { Upload, Building2, ChevronLeft, Loader, AlertCircle, BarChart3, Settings, Trash2, RotateCcw } from 'lucide-react'; import { Upload, Building2, ChevronLeft, Loader, AlertCircle, BarChart3, Settings, Trash2, RotateCcw } from 'lucide-react';
import { useAuth } from '../../contexts/AuthContext'; import { useAuth } from '../../contexts/AuthContext';
import { PieChart, Pie, Cell, ComposedChart, Bar, BarChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ReferenceLine, ResponsiveContainer } from 'recharts'; import { PieChart, Pie, Cell, ComposedChart, Bar, BarChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ReferenceLine, ResponsiveContainer } from 'recharts';
import MultiVerticalUploadModal from './MultiVerticalUploadModal'; import MultiVerticalUploadModal from './MultiVerticalUploadModal';
// ⚠️ CONVENTION: Use relative API path (e.g. '/api') instead of absolute URL with localhost. The fallback 'http://localhost:3001/api' should be a relative path since Express serves both API and frontend on the same port in production.
const API_BASE = process.env.REACT_APP_API_BASE || 'http://localhost:3001/api'; const API_BASE = process.env.REACT_APP_API_BASE || 'http://localhost:3001/api';
const TEAL = '#14B8A6'; const TEAL = '#14B8A6';
const PURPLE = '#A78BFA'; const PURPLE = '#A78BFA';
@@ -1187,6 +1186,338 @@ function DataManagementPanel({ onClose, onDataChanged }) {
); );
} }
// ---------------------------------------------------------------------------
// Metric Selector (Forecast Burndown)
// ---------------------------------------------------------------------------
function MetricSelector({ onMetricSelect, selectedMetric }) {
const [metrics, setMetrics] = useState([]);
const [loading, setLoading] = useState(true);
const [error, setError] = useState(null);
useEffect(() => {
let cancelled = false;
setLoading(true);
setError(null);
fetch(`${API_BASE}/compliance/vcl-multi/metrics-list`, { credentials: 'include' })
.then(r => {
if (!r.ok) throw new Error(`Failed to load metrics (${r.status})`);
return r.json();
})
.then(data => {
if (cancelled) return;
setMetrics(data || []);
setLoading(false);
// Auto-select first metric on initial load
if (data && data.length > 0 && !selectedMetric) {
onMetricSelect(data[0].metric_id);
}
})
.catch(err => {
if (cancelled) return;
setError(err.message);
setLoading(false);
});
return () => { cancelled = true; };
// eslint-disable-next-line react-hooks/exhaustive-deps
}, []);
// Loading state
if (loading) {
return (
<div style={{ display: 'flex', alignItems: 'center', gap: '0.5rem', padding: '0.5rem 0' }}>
<Loader style={{ animation: 'spin 1s linear infinite', width: '14px', height: '14px', color: PURPLE }} />
<span style={{ fontSize: '0.75rem', color: '#64748B' }}>Loading metrics...</span>
</div>
);
}
// Error state
if (error) {
return (
<div style={{
display: 'flex', alignItems: 'center', gap: '0.5rem',
padding: '0.6rem 0.75rem',
border: '1px solid rgba(239, 68, 68, 0.5)',
borderRadius: '0.5rem',
background: 'rgba(239, 68, 68, 0.06)',
}}>
<AlertCircle style={{ width: '14px', height: '14px', color: '#EF4444', flexShrink: 0 }} />
<span style={{ fontSize: '0.75rem', color: '#EF4444' }}>{error}</span>
</div>
);
}
// Empty state
if (metrics.length === 0) {
return (
<div style={{ padding: '0.5rem 0', fontSize: '0.75rem', color: '#64748B' }}>
No metrics with active non-compliant devices
</div>
);
}
return (
<div style={{ display: 'flex', alignItems: 'center', gap: '0.75rem' }}>
<label style={{ fontSize: '0.65rem', color: '#94A3B8', textTransform: 'uppercase', letterSpacing: '0.05em', whiteSpace: 'nowrap' }}>
Metric
</label>
<select
value={selectedMetric || ''}
onChange={e => onMetricSelect(e.target.value)}
style={{
background: 'rgba(15, 23, 42, 0.8)',
border: `1px solid rgba(167, 139, 250, 0.4)`,
borderRadius: '0.4rem',
padding: '0.4rem 0.75rem',
color: '#E2E8F0',
fontSize: '0.8rem',
fontFamily: "'JetBrains Mono', 'Fira Code', monospace",
cursor: 'pointer',
outline: 'none',
minWidth: '200px',
}}
>
{metrics.map(m => (
<option key={m.metric_id} value={m.metric_id}>
{m.metric_id} {m.device_count} device{m.device_count !== 1 ? 's' : ''}
</option>
))}
</select>
</div>
);
}
// ---------------------------------------------------------------------------
// Forecast Burndown Chart
// ---------------------------------------------------------------------------
function ForecastBurndownChart({ metricId }) {
const [chartData, setChartData] = useState(null);
const [loading, setLoading] = useState(false);
const [error, setError] = useState(null);
const requestCounterRef = useRef(0);
useEffect(() => {
if (!metricId) {
setChartData(null);
setLoading(false);
setError(null);
return;
}
const currentRequest = ++requestCounterRef.current;
setLoading(true);
setError(null);
fetch(`${API_BASE}/compliance/vcl-multi/metric/${encodeURIComponent(metricId)}/forecast-burndown`, { credentials: 'include' })
.then(r => {
if (!r.ok) throw new Error(`Failed to load forecast data (${r.status})`);
return r.json();
})
.then(data => {
// Discard stale responses
if (currentRequest !== requestCounterRef.current) return;
setChartData(data);
setLoading(false);
})
.catch(err => {
if (currentRequest !== requestCounterRef.current) return;
setError(err.message);
setLoading(false);
});
}, [metricId]);
// Loading state
if (loading) {
return (
<div style={{ ...CARD_STYLE, textAlign: 'center', padding: '2rem' }}>
<Loader style={{ animation: 'spin 1s linear infinite', width: '20px', height: '20px', color: '#64748B' }} />
<div style={{ fontSize: '0.75rem', color: '#64748B', marginTop: '0.5rem' }}>Loading forecast data...</div>
</div>
);
}
// Error state
if (error) {
return (
<div style={{
...CARD_STYLE,
border: '1px solid rgba(239, 68, 68, 0.5)',
display: 'flex', alignItems: 'center', gap: '0.75rem',
padding: '1.25rem',
}}>
<AlertCircle style={{ width: '16px', height: '16px', color: '#EF4444', flexShrink: 0 }} />
<span style={{ fontSize: '0.75rem', color: '#EF4444' }}>{error}</span>
</div>
);
}
// No metric selected yet
if (!metricId || !chartData) return null;
// Empty data state
const historical = chartData.historical || [];
const forecast = chartData.forecast || [];
if (historical.length === 0 && forecast.length === 0) {
return (
<div style={{ ...CARD_STYLE, textAlign: 'center', padding: '2rem' }}>
<div style={{ fontSize: '0.8rem', color: '#64748B' }}>No data available for this metric</div>
</div>
);
}
// Combine historical and forecast into a single array with isForecast flag
const combinedData = [
...historical.map(d => ({ ...d, isForecast: false })),
...forecast.map(d => ({ ...d, isForecast: true })),
];
// Determine the divider position (between last historical and first forecast)
const hasForecast = forecast.length > 0;
const dividerMonth = hasForecast && historical.length > 0
? historical[historical.length - 1].month
: null;
// Compute max total_assets for left Y-axis domain
const maxTotal = Math.max(...combinedData.map(d => d.total_assets || 0), 1);
// Custom bar shape to apply opacity for forecast data points
const renderTotalAssetsBar = (props) => {
const { x, y, width, height, payload } = props;
const opacity = payload.isForecast ? 0.5 : 1.0;
return (
<rect x={x} y={y} width={width} height={height} fill="#3B82F6" fillOpacity={opacity} rx={2} />
);
};
const renderNonCompliantBar = (props) => {
const { x, y, width, height, payload } = props;
const opacity = payload.isForecast ? 0.5 : 1.0;
return (
<rect x={x} y={y} width={width} height={height} fill="#F97316" fillOpacity={opacity} rx={2} />
);
};
// Custom label for bars (device counts inside bars)
const renderTotalLabel = (props) => {
const { x, y, width, height, value } = props;
if (!value || height < 14) return null;
return (
<text x={x + width / 2} y={y + height / 2} textAnchor="middle" dominantBaseline="middle" fill="#FFF" fontSize={9} fontWeight="600">
{value}
</text>
);
};
const renderNonCompliantLabel = (props) => {
const { x, y, width, height, value } = props;
if (!value || height < 14) return null;
return (
<text x={x + width / 2} y={y + height / 2} textAnchor="middle" dominantBaseline="middle" fill="#FFF" fontSize={9} fontWeight="600">
{value}
</text>
);
};
// Custom dot for the line to apply opacity
const renderDot = (props) => {
const { cx, cy, payload } = props;
const opacity = payload.isForecast ? 0.5 : 1.0;
return (
<circle cx={cx} cy={cy} r={3} fill="#10B981" fillOpacity={opacity} stroke="#10B981" strokeOpacity={opacity} strokeWidth={1} />
);
};
// Custom label for compliance percentage on the line
const renderLineLabel = (props) => {
const { x, y, value, index } = props;
if (value === undefined || value === null) return null;
const point = combinedData[index];
const opacity = point && point.isForecast ? 0.5 : 1.0;
return (
<text x={x} y={y - 10} textAnchor="middle" fill="#10B981" fillOpacity={opacity} fontSize={9} fontWeight="600">
{value}%
</text>
);
};
return (
<div style={{ ...CARD_STYLE }}>
<div style={{ fontSize: '0.7rem', color: '#94A3B8', textTransform: 'uppercase', letterSpacing: '0.05em', marginBottom: '1rem' }}>
Forecast Burndown {metricId}
</div>
<ResponsiveContainer width="100%" height={280}>
<ComposedChart data={combinedData} margin={{ top: 20, right: 40, left: 10, bottom: 5 }}>
<CartesianGrid stroke="rgba(255,255,255,0.05)" strokeDasharray="3 3" />
<XAxis
dataKey="month"
tick={{ fontSize: 10, fill: '#64748B' }}
axisLine={{ stroke: 'rgba(255,255,255,0.1)' }}
/>
<YAxis
yAxisId="left"
domain={[0, maxTotal]}
tick={{ fontSize: 10, fill: '#64748B' }}
axisLine={{ stroke: 'rgba(255,255,255,0.1)' }}
label={{ value: 'Devices', angle: -90, position: 'insideLeft', style: { fontSize: 10, fill: '#64748B' } }}
/>
<YAxis
yAxisId="right"
orientation="right"
domain={[0, 100]}
tick={{ fontSize: 10, fill: '#64748B' }}
axisLine={{ stroke: 'rgba(255,255,255,0.1)' }}
label={{ value: '%', angle: 90, position: 'insideRight', style: { fontSize: 10, fill: '#64748B' } }}
/>
<Tooltip
contentStyle={{ background: '#1E293B', border: '1px solid #334155', borderRadius: '0.5rem', fontSize: '0.75rem' }}
labelStyle={{ color: '#94A3B8' }}
/>
<Legend
wrapperStyle={{ fontSize: '0.7rem', color: '#94A3B8' }}
/>
{dividerMonth && (
<ReferenceLine
x={dividerMonth}
yAxisId="left"
stroke={PURPLE}
strokeWidth={2}
strokeDasharray="4 4"
label={{ value: 'Forecast →', position: 'top', style: { fontSize: 9, fill: PURPLE } }}
/>
)}
<Bar
yAxisId="left"
dataKey="total_assets"
name="Total Assets"
shape={renderTotalAssetsBar}
label={renderTotalLabel}
barSize={28}
/>
<Bar
yAxisId="left"
dataKey="non_compliant"
name="Non-Compliant"
shape={renderNonCompliantBar}
label={renderNonCompliantLabel}
barSize={28}
/>
<Line
yAxisId="right"
type="monotone"
dataKey="compliance_pct"
name="Compliance %"
stroke="#10B981"
strokeWidth={2}
dot={renderDot}
label={renderLineLabel}
activeDot={{ r: 5, fill: '#10B981' }}
/>
</ComposedChart>
</ResponsiveContainer>
</div>
);
}
// --------------------------------------------------------------------------- // ---------------------------------------------------------------------------
// Main Page Component // Main Page Component
// --------------------------------------------------------------------------- // ---------------------------------------------------------------------------
@@ -1203,6 +1534,7 @@ export default function CCPMetricsPage() {
const [showUpload, setShowUpload] = useState(false); const [showUpload, setShowUpload] = useState(false);
const [showManage, setShowManage] = useState(false); const [showManage, setShowManage] = useState(false);
const [showMetricBreakdown, setShowMetricBreakdown] = useState(false); const [showMetricBreakdown, setShowMetricBreakdown] = useState(false);
const [forecastMetric, setForecastMetric] = useState(null);
// Drill-down state (metric-first hierarchy: metric → vertical → team) // Drill-down state (metric-first hierarchy: metric → vertical → team)
const [selectedMetric, setSelectedMetric] = useState(null); const [selectedMetric, setSelectedMetric] = useState(null);
@@ -1388,6 +1720,17 @@ export default function CCPMetricsPage() {
error={burndownError} error={burndownError}
/> />
{/* Per-Metric Forecast Burndown */}
<div style={{ ...CARD_STYLE, marginBottom: '1.5rem' }}>
<h3 style={{ fontSize: '0.85rem', fontWeight: '700', color: '#E2E8F0', margin: '0 0 1rem 0' }}>
Per-Metric Forecast Burndown
</h3>
<MetricSelector onMetricSelect={setForecastMetric} selectedMetric={forecastMetric} />
<div style={{ marginTop: '1rem' }}>
<ForecastBurndownChart metricId={forecastMetric} />
</div>
</div>
{/* Metrics overview table (metric-first model) */} {/* Metrics overview table (metric-first model) */}
<MetricTable <MetricTable
metrics={metricsData?.metrics} metrics={metricsData?.metrics}

View File

@@ -2197,7 +2197,7 @@ function QueuePanel({ open, items, onClose, onUpdate, onDelete, onDeleteMany, on
<div <div
style={{ style={{
position: 'fixed', top: 0, right: 0, position: 'fixed', top: 0, right: 0,
height: '100vh', width: '420px', height: '100vh', width: '600px',
zIndex: 9999, zIndex: 9999,
display: 'flex', flexDirection: 'column', display: 'flex', flexDirection: 'column',
background: 'linear-gradient(180deg, #0D1929 0%, #080F1C 100%)', background: 'linear-gradient(180deg, #0D1929 0%, #080F1C 100%)',