[monitoring] job-hunter: panels 6-9 for comp_points tables + trends
Append the structured-comp dashboard surface to the job-hunter dashboard: Panel 6 — Per-company salary by level (p50 base, GBP table). Panel 7 — Total-comp heatmap per (company, level), p50 GBP. Panel 8 — Comp-point volume by source (daily time-series). Panel 9 — Base-salary trend (p50) over time for the top 5 companies. Adds templating: $location (multi, default london), $level (single, default senior), $company (multi, default all) — populated from comp_points + levels metadata so the selection reflects what was actually ingested. Closes: code-5ph
This commit is contained in:
Viktor Barzin
parent
a8280e77b6
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3f6dfb10aa
1 changed files with 181 additions and 1 deletions
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@ -197,12 +197,192 @@
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],
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"title": "Top roles",
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"type": "table"
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},
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{
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"description": "Per-company median base salary broken out by seniority level (comp_points, GBP).",
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"fieldConfig": {
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"defaults": {
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"color": {"mode": "thresholds"},
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"custom": {
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"align": "auto",
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"cellOptions": {"type": "auto"},
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"filterable": true,
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"inspect": false
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},
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"mappings": [],
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"thresholds": {"mode": "absolute", "steps": []},
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"unit": "currencyGBP"
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},
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"overrides": []
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},
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"gridPos": {"h": 10, "w": 24, "x": 0, "y": 29},
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"id": 6,
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"options": {
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"cellHeight": "sm",
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"footer": {"countRows": false, "fields": "", "reducer": ["sum"], "show": false},
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"showHeader": true
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},
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"targets": [
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{
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"format": "table",
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"rawQuery": true,
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"rawSql": "SELECT c.display_name AS company, l.slug AS level, percentile_cont(0.5) WITHIN GROUP (ORDER BY cp.base_gbp) AS p50_base_gbp, COUNT(*) AS n FROM job_hunter.comp_points cp JOIN job_hunter.companies c ON cp.company_id = c.id LEFT JOIN job_hunter.levels l ON cp.level_id = l.id WHERE cp.base_gbp IS NOT NULL AND cp.location_bucket IN (${location:sqlstring}) AND (c.slug = ANY(string_to_array(${company:sqlstring}, ',')) OR ${company:sqlstring} = 'all') GROUP BY c.display_name, l.slug ORDER BY c.display_name, l.rank NULLS LAST",
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"refId": "A"
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}
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],
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"title": "Per-company salary by level (p50 base)",
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"type": "table"
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},
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{
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"description": "p50 total comp (base + bonus + RSU/year + sign-on/year) per (company, level).",
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"fieldConfig": {
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"defaults": {
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"color": {"mode": "continuous-GrYlRd"},
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"custom": {"align": "center", "cellOptions": {"type": "color-background"}},
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"unit": "currencyGBP"
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},
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"overrides": []
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},
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"gridPos": {"h": 10, "w": 12, "x": 0, "y": 39},
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"id": 7,
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"options": {
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"cellHeight": "sm",
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"footer": {"countRows": false, "fields": "", "reducer": ["sum"], "show": false},
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"showHeader": true
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},
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"targets": [
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{
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"format": "table",
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"rawQuery": true,
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"rawSql": "SELECT c.display_name AS company, l.slug AS level, percentile_cont(0.5) WITHIN GROUP (ORDER BY COALESCE(cp.base_gbp, 0) + COALESCE(cp.bonus_gbp, 0) + COALESCE(cp.rsu_annual_gbp, 0) + COALESCE(cp.signon_gbp, 0)) AS p50_total_gbp FROM job_hunter.comp_points cp JOIN job_hunter.companies c ON cp.company_id = c.id LEFT JOIN job_hunter.levels l ON cp.level_id = l.id WHERE cp.base_gbp IS NOT NULL AND cp.location_bucket IN (${location:sqlstring}) GROUP BY c.display_name, l.slug ORDER BY c.display_name",
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"refId": "A"
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}
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],
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"title": "Total comp heatmap (p50, GBP)",
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"type": "table"
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},
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{
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"description": "Comp-datapoint ingestion volume by source.",
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"fieldConfig": {
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"defaults": {
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"color": {"mode": "palette-classic"},
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"custom": {
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"drawStyle": "bars",
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"fillOpacity": 60,
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"lineWidth": 1,
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"stacking": {"mode": "normal"}
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}
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},
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"overrides": []
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},
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"gridPos": {"h": 10, "w": 12, "x": 12, "y": 39},
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"id": 8,
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"options": {
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"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true},
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"tooltip": {"mode": "single", "sort": "none"}
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},
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"targets": [
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{
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"format": "time_series",
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"rawQuery": true,
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"rawSql": "SELECT date_trunc('day', fetched_at) AT TIME ZONE 'UTC' AS time, source, COUNT(*) AS value FROM job_hunter.comp_points WHERE $__timeFilter(fetched_at) GROUP BY 1, 2 ORDER BY 1",
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"refId": "A"
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}
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],
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"title": "Comp-point volume by source",
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"type": "timeseries"
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},
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{
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"description": "p50 base salary trend by (company, level) for top 5 companies.",
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"fieldConfig": {
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"defaults": {
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"color": {"mode": "palette-classic"},
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"custom": {
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"drawStyle": "line",
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"lineInterpolation": "linear",
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"lineWidth": 2,
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"pointSize": 6,
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"showPoints": "auto"
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},
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"unit": "currencyGBP"
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},
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"overrides": []
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},
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"gridPos": {"h": 10, "w": 24, "x": 0, "y": 49},
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"id": 9,
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"options": {
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"legend": {"displayMode": "table", "placement": "right", "showLegend": true},
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"tooltip": {"mode": "multi", "sort": "desc"}
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},
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"targets": [
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{
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"format": "time_series",
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"rawQuery": true,
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"rawSql": "WITH ranked AS (SELECT c.slug AS company_slug, COUNT(*) AS n FROM job_hunter.comp_points cp JOIN job_hunter.companies c ON cp.company_id = c.id WHERE cp.base_gbp IS NOT NULL AND cp.location_bucket IN (${location:sqlstring}) GROUP BY c.slug ORDER BY n DESC LIMIT 5) SELECT date_trunc('month', cp.effective_date)::timestamp AS time, c.display_name || ' / ' || COALESCE(l.slug, 'unknown') AS metric, percentile_cont(0.5) WITHIN GROUP (ORDER BY cp.base_gbp) AS value FROM job_hunter.comp_points cp JOIN job_hunter.companies c ON cp.company_id = c.id LEFT JOIN job_hunter.levels l ON cp.level_id = l.id WHERE cp.base_gbp IS NOT NULL AND cp.effective_date IS NOT NULL AND cp.location_bucket IN (${location:sqlstring}) AND c.slug IN (SELECT company_slug FROM ranked) AND (l.slug = ${level:sqlstring} OR ${level:sqlstring} = 'all') GROUP BY 1, 2 ORDER BY 1",
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"refId": "A"
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}
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],
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"title": "Base-salary trend (p50) — top 5 companies",
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"type": "timeseries"
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}
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],
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"refresh": "",
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"schemaVersion": 39,
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"tags": ["job-hunter", "jobs", "careers"],
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"templating": {"list": []},
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"templating": {"list": [
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{
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"current": {"selected": true, "text": ["london"], "value": ["london"]},
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"definition": "SELECT DISTINCT location_bucket FROM job_hunter.comp_points ORDER BY 1",
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"includeAll": false,
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"label": "Location",
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"multi": true,
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"name": "location",
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"options": [],
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"query": "SELECT DISTINCT location_bucket FROM job_hunter.comp_points ORDER BY 1",
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"refresh": 1,
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"regex": "",
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"type": "query"
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},
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{
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"current": {"selected": true, "text": "senior", "value": "senior"},
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"definition": "SELECT slug FROM job_hunter.levels WHERE company_id IS NULL ORDER BY rank",
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"includeAll": true,
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"allValue": "all",
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"label": "Level",
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"multi": false,
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"name": "level",
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"options": [],
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"query": "SELECT slug FROM job_hunter.levels WHERE company_id IS NULL ORDER BY rank",
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"refresh": 1,
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"regex": "",
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"type": "query"
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},
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{
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"current": {"selected": true, "text": "all", "value": "all"},
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"datasource": {"type": "grafana-postgresql-datasource", "uid": "job-hunter-pg"},
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"definition": "SELECT slug FROM job_hunter.companies ORDER BY slug",
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"includeAll": true,
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"allValue": "all",
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"label": "Company",
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"multi": true,
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"name": "company",
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"options": [],
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"query": "SELECT slug FROM job_hunter.companies ORDER BY slug",
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"refresh": 1,
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"regex": "",
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"type": "query"
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}
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]},
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"time": {"from": "now-30d", "to": "now"},
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"timepicker": {},
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"timezone": "browser",
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