feat(compliance): add time-based trend charts to Compliance page
Add 6 Recharts charts in a collapsible Historical Trends panel on the Compliance page, covering all Tier-1 recommendations from the reporting design doc. Backend — 5 new API endpoints: - GET /api/compliance/trends — active totals + per-team counts per upload - GET /api/compliance/mttr — mean days to resolution per team - GET /api/compliance/top-recurring — most persistent active findings by seen_count - GET /api/compliance/category-trend — category breakdown per upload (future use) - GET /api/archer-tickets/status-trend — ticket pipeline by creation date + status Frontend — new ComplianceChartsPanel component: - Active Findings Over Time (multi-line: total + per-team dashed) - Change per Report Cycle (stacked bar: new/recurring + resolved) - Team Compliance Health (multi-line per team) - Mean Time to Resolution (horizontal bar per team) - Most Persistent Findings (horizontal bar top-10 by seen_count) - Archer Exception Pipeline (stacked bar by date + status) All charts degrade gracefully to a no-data placeholder until uploads accumulate. Panel is collapsible to stay out of the way when not needed. Adds recharts dependency to frontend. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -217,6 +217,25 @@ function createArcherTicketsRouter(db) {
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});
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});
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// GET /status-trend — ticket counts grouped by creation date + status
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// Used for time-based Archer pipeline chart on the Compliance page.
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router.get('/status-trend', requireAuth(db), (req, res) => {
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db.all(
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`SELECT DATE(created_at) AS date, status, COUNT(*) AS count
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FROM archer_tickets
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GROUP BY DATE(created_at), status
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ORDER BY date ASC`,
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[],
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(err, rows) => {
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if (err) {
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console.error('Error fetching Archer status trend:', err);
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return res.status(500).json({ error: 'Internal server error.' });
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}
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res.json({ statusTrend: rows });
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}
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);
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});
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return router;
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}
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@@ -584,6 +584,128 @@ function createComplianceRouter(db, upload, requireAuth, requireRole) {
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}
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});
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// -----------------------------------------------------------------------
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// GET /trends
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// Per-upload active totals + per-team counts for time-series charts.
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// Returns rows ordered ascending by report_date.
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// -----------------------------------------------------------------------
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router.get('/trends', async (req, res) => {
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try {
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const uploads = await dbAll(db,
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`SELECT id, report_date,
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COALESCE(new_count, 0) AS new_count,
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COALESCE(recurring_count, 0) AS recurring_count,
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COALESCE(resolved_count, 0) AS resolved_count,
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COALESCE(new_count, 0) + COALESCE(recurring_count, 0) AS total_active
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FROM compliance_uploads
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ORDER BY report_date ASC`
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);
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if (uploads.length === 0) return res.json({ trends: [] });
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// Per-team active counts — items whose upload_id matches the upload
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// (recurring items have upload_id bumped each cycle, so this is accurate)
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const teamRows = await dbAll(db,
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`SELECT ci.upload_id, ci.team, COUNT(ci.id) AS count
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FROM compliance_items ci
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WHERE ci.team IS NOT NULL
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GROUP BY ci.upload_id, ci.team`
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);
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const teamMap = {};
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teamRows.forEach(r => {
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if (!teamMap[r.upload_id]) teamMap[r.upload_id] = {};
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teamMap[r.upload_id][r.team] = r.count;
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});
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const trends = uploads.map(u => ({
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report_date: u.report_date,
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new_count: u.new_count,
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recurring_count: u.recurring_count,
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resolved_count: u.resolved_count,
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total_active: u.total_active,
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STEAM: teamMap[u.id]?.STEAM || 0,
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'ACCESS-ENG': teamMap[u.id]?.['ACCESS-ENG'] || 0,
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'ACCESS-OPS': teamMap[u.id]?.['ACCESS-OPS'] || 0,
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INTELDEV: teamMap[u.id]?.INTELDEV || 0,
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}));
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res.json({ trends });
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} catch (err) {
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console.error('[Compliance] GET /trends error:', err.message);
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res.status(500).json({ error: 'Database error' });
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}
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});
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// -----------------------------------------------------------------------
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// GET /mttr
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// Mean time to resolution (calendar days) per team, for resolved items.
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// -----------------------------------------------------------------------
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router.get('/mttr', async (req, res) => {
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try {
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const rows = await dbAll(db,
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`SELECT
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ci.team,
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ROUND(AVG(JULIANDAY(ru.report_date) - JULIANDAY(fu.report_date)), 1) AS avg_days,
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COUNT(*) AS resolved_count
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FROM compliance_items ci
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JOIN compliance_uploads fu ON ci.first_seen_upload_id = fu.id
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JOIN compliance_uploads ru ON ci.resolved_upload_id = ru.id
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WHERE ci.resolved_upload_id IS NOT NULL
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AND fu.report_date IS NOT NULL
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AND ru.report_date IS NOT NULL
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GROUP BY ci.team
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ORDER BY avg_days DESC`
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);
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res.json({ mttr: rows });
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} catch (err) {
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console.error('[Compliance] GET /mttr error:', err.message);
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res.status(500).json({ error: 'Database error' });
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}
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});
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// -----------------------------------------------------------------------
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// GET /top-recurring
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// Active findings grouped by team + metric_id, sorted by seen_count desc.
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// Identifies chronic compliance gaps that keep reappearing.
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// -----------------------------------------------------------------------
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router.get('/top-recurring', async (req, res) => {
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try {
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const rows = await dbAll(db,
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`SELECT team, metric_id, metric_desc, seen_count, COUNT(*) AS host_count
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FROM compliance_items
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WHERE status = 'active'
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GROUP BY team, metric_id
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ORDER BY seen_count DESC, host_count DESC
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LIMIT 20`
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);
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res.json({ items: rows });
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} catch (err) {
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console.error('[Compliance] GET /top-recurring error:', err.message);
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res.status(500).json({ error: 'Database error' });
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}
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});
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// -----------------------------------------------------------------------
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// GET /category-trend
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// Active item counts per category per upload, for stacked area chart.
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// -----------------------------------------------------------------------
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router.get('/category-trend', async (req, res) => {
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try {
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const rows = await dbAll(db,
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`SELECT cu.report_date, COALESCE(ci.category, 'Unknown') AS category, COUNT(ci.id) AS count
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FROM compliance_uploads cu
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JOIN compliance_items ci ON ci.upload_id = cu.id
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GROUP BY cu.id, category
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ORDER BY cu.report_date ASC`
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);
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res.json({ categoryTrend: rows });
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} catch (err) {
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console.error('[Compliance] GET /category-trend error:', err.message);
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res.status(500).json({ error: 'Database error' });
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}
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});
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return router;
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}
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