submissions page improvements

packages/app/src/components/submissions/SubmissionsTable.tsx

@@ -41,13 +41,7 @@ function DetailItem({
   );
 }
 
-type SortKey =
-  | 'hardware'
-  | 'model'
-  | 'precision'
-  | 'framework'
-  | 'latest_date'
-  | 'total_datapoints';
+type SortKey = 'hardware' | 'model' | 'precision' | 'framework' | 'date' | 'total_datapoints';
 type SortDir = 'asc' | 'desc';
 
 interface SubmissionsTableProps {
@@ -62,7 +56,7 @@ function getModelDisplayName(dbModel: string): string {
 }
 
 export default function SubmissionsTable({ data }: SubmissionsTableProps) {
-  const [sortKey, setSortKey] = useState<SortKey>('latest_date');
+  const [sortKey, setSortKey] = useState<SortKey>('date');
   const [sortDir, setSortDir] = useState<SortDir>('desc');
   const [search, setSearch] = useState('');
   const [expandedRows, setExpandedRows] = useState<Set<string>>(new Set());
@@ -119,7 +113,7 @@ export default function SubmissionsTable({ data }: SubmissionsTableProps) {
   }, []);
 
   const rowKey = (row: SubmissionSummaryRow) =>
-    `${row.model}_${row.hardware}_${row.framework}_${row.precision}_${row.spec_method}_${row.disagg}_${row.is_multinode}_${row.num_prefill_gpu}_${row.num_decode_gpu}_${row.prefill_tp}_${row.prefill_ep}_${row.decode_tp}_${row.decode_ep}`;
+    `${row.model}_${row.hardware}_${row.framework}_${row.precision}_${row.spec_method}_${row.disagg}_${row.is_multinode}_${row.num_prefill_gpu}_${row.num_decode_gpu}_${row.prefill_tp}_${row.prefill_ep}_${row.decode_tp}_${row.decode_ep}_${row.date}`;
 
   const SortHeader = ({ label, field }: { label: string; field: SortKey }) => (
     <th
@@ -156,7 +150,7 @@ export default function SubmissionsTable({ data }: SubmissionsTableProps) {
               <SortHeader label="Model" field="model" />
               <SortHeader label="Precision" field="precision" />
               <SortHeader label="Framework" field="framework" />
-              <SortHeader label="Latest Run" field="latest_date" />
+              <SortHeader label="Date" field="date" />
               <SortHeader label="Datapoints" field="total_datapoints" />
             </tr>
           </thead>
@@ -219,7 +213,7 @@ function SubmissionRow({
         <td className="px-3 py-2">{getModelDisplayName(row.model)}</td>
         <td className="px-3 py-2 uppercase">{row.precision}</td>
         <td className="px-3 py-2">{getFrameworkLabel(row.framework)}</td>
-        <td className="px-3 py-2 tabular-nums">{row.latest_date}</td>
+        <td className="px-3 py-2 tabular-nums">{row.date}</td>
         <td className="px-3 py-2 tabular-nums">{row.total_datapoints.toLocaleString()}</td>
       </tr>
       {isExpanded && (
@@ -231,15 +225,6 @@ function SubmissionRow({
                 <DetailItem label="Vendor:" tip="GPU manufacturer">
                   {vendor}
                 </DetailItem>
-                <DetailItem label="First Run:" tip="Date of the earliest benchmark for this config">
-                  <span className="tabular-nums">{row.first_date}</span>
-                </DetailItem>
-                <DetailItem
-                  label="Run Days:"
-                  tip="Number of distinct days this config was benchmarked"
-                >
-                  <span className="tabular-nums">{row.run_days}</span>
-                </DetailItem>
                 <DetailItem
                   label="Spec Method:"
                   tip="Speculative decoding method (e.g. MTP, Eagle)"

packages/app/src/components/submissions/submissions-utils.test.ts

@@ -94,9 +94,7 @@ describe('computeTotalStats', () => {
       prefill_ep: 1,
       decode_tp: 4,
       decode_ep: 1,
-      first_date: '2026-01-01',
-      latest_date: '2026-01-10',
-      run_days: 10,
+      date: '2026-01-10',
       total_datapoints: 100,
       distinct_sequences: 3,
       distinct_concurrencies: 10,
@@ -117,9 +115,7 @@ describe('computeTotalStats', () => {
       prefill_ep: 1,
       decode_tp: 8,
       decode_ep: 1,
-      first_date: '2026-01-05',
-      latest_date: '2026-01-10',
-      run_days: 5,
+      date: '2026-01-05',
       total_datapoints: 50,
       distinct_sequences: 2,
       distinct_concurrencies: 5,

packages/app/src/components/submissions/submissions-utils.ts

@@ -93,18 +93,22 @@ export function computeCumulative(volume: SubmissionVolumeRow[]): CumulativePoin
 /** Compute total stats from summary rows. */
 export function computeTotalStats(summary: SubmissionSummaryRow[]) {
   let totalDatapoints = 0;
+  const configs = new Set<string>();
   const models = new Set<string>();
   const gpus = new Set<string>();
 
   for (const row of summary) {
     totalDatapoints += row.total_datapoints;
+    configs.add(
+      `${row.model}_${row.hardware}_${row.framework}_${row.precision}_${row.spec_method}_${row.disagg}_${row.num_prefill_gpu}_${row.num_decode_gpu}`,
+    );
     models.add(row.model);
     gpus.add(row.hardware);
   }
 
   return {
     totalDatapoints,
-    totalConfigs: summary.length,
+    totalConfigs: configs.size,
     uniqueModels: models.size,
     uniqueGpus: gpus.size,
   };

packages/app/src/lib/api-cache.test.ts

@@ -143,9 +143,9 @@ describe('purgeAll', () => {
 });
 
 describe('cachedJson', () => {
-  it('sets Cache-Control with max-age=0 and 1 year s-maxage', () => {
+  it('sets Cache-Control with max-age=0 and 1 day s-maxage', () => {
     const res = cachedJson({ ok: true });
-    expect(res.headers.get('Cache-Control')).toBe('public, max-age=0, s-maxage=31536000');
+    expect(res.headers.get('Cache-Control')).toBe('public, max-age=0, s-maxage=86400');
   });
 
   it('sets Vercel-Cache-Tag to db', () => {

packages/app/src/lib/api-cache.ts

@@ -47,9 +47,9 @@ export async function purgeAll(): Promise<number> {
   return deleted;
 }
 
-/** 1 year — Vercel max. Purged on demand via revalidateTag('db'), no TTL needed. */
+/** 1 day. Purged on demand via revalidateTag('db'). */
 const CDN_HEADERS = {
-  'Cache-Control': 'public, max-age=0, s-maxage=31536000',
+  'Cache-Control': 'public, max-age=0, s-maxage=86400',
   'Vercel-Cache-Tag': 'db',
 };
 

packages/app/src/lib/submissions-types.ts

@@ -12,9 +12,7 @@ export interface SubmissionSummaryRow {
   prefill_ep: number;
   decode_tp: number;
   decode_ep: number;
-  first_date: string;
-  latest_date: string;
-  run_days: number;
+  date: string;
   total_datapoints: number;
   distinct_sequences: number;
   distinct_concurrencies: number;

packages/db/src/queries/submissions.ts

@@ -7,6 +7,15 @@ export interface SubmissionSummaryRow {
   precision: string;
   spec_method: string;
   disagg: boolean;
+  is_multinode: boolean;
+  num_prefill_gpu: number;
+  num_decode_gpu: number;
+  prefill_tp: number;
+  prefill_ep: number;
+  decode_tp: number;
+  decode_ep: number;
+  date: string;
+  total_datapoints: number;
   distinct_sequences: number;
   distinct_concurrencies: number;
   max_concurrency: number;
@@ -19,8 +28,8 @@ export interface SubmissionVolumeRow {
   datapoints: number;
 }
 
-/** Get unique config submissions with first/latest date and datapoint counts.
- *  Uses latest_benchmarks (deduplicated: newest per config+conc+isl+osl, no errors). */
+/** Get per-run config submissions (one row per config × date).
+ *  Uses benchmark_results with error/workflow filters to include full history. */
 export async function getSubmissionSummary(sql: DbClient): Promise<SubmissionSummaryRow[]> {
   const rows = await sql`
     SELECT
@@ -37,34 +46,36 @@ export async function getSubmissionSummary(sql: DbClient): Promise<SubmissionSum
       c.prefill_ep,
       c.decode_tp,
       c.decode_ep,
-      MIN(lb.date)::text AS first_date,
-      MAX(lb.date)::text AS latest_date,
-      COUNT(DISTINCT lb.date)::int AS run_days,
+      br.date::text,
       COUNT(*)::int AS total_datapoints,
-      COUNT(DISTINCT (lb.isl, lb.osl))::int AS distinct_sequences,
-      COUNT(DISTINCT lb.conc)::int AS distinct_concurrencies,
-      MAX(lb.conc)::int AS max_concurrency,
-      (ARRAY_AGG(lb.image ORDER BY lb.date DESC) FILTER (WHERE lb.image IS NOT NULL))[1] AS image
-    FROM latest_benchmarks lb
-    JOIN configs c ON c.id = lb.config_id
-    GROUP BY c.model, c.hardware, c.framework, c.precision, c.spec_method, c.disagg, c.is_multinode, c.num_prefill_gpu, c.num_decode_gpu, c.prefill_tp, c.prefill_ep, c.decode_tp, c.decode_ep
-    ORDER BY MAX(lb.date) DESC, COUNT(*) DESC
+      COUNT(DISTINCT (br.isl, br.osl))::int AS distinct_sequences,
+      COUNT(DISTINCT br.conc)::int AS distinct_concurrencies,
+      MAX(br.conc)::int AS max_concurrency,
+      (ARRAY_AGG(br.image) FILTER (WHERE br.image IS NOT NULL))[1] AS image
+    FROM benchmark_results br
+    JOIN configs c ON c.id = br.config_id
+    JOIN latest_workflow_runs wr ON wr.id = br.workflow_run_id
+    WHERE br.error IS NULL
+    GROUP BY c.model, c.hardware, c.framework, c.precision, c.spec_method, c.disagg, c.is_multinode, c.num_prefill_gpu, c.num_decode_gpu, c.prefill_tp, c.prefill_ep, c.decode_tp, c.decode_ep, br.date
+    ORDER BY br.date DESC, COUNT(*) DESC
   `;
   return rows as unknown as SubmissionSummaryRow[];
 }
 
 /** Get daily datapoint counts by hardware for volume charts.
- *  Uses latest_benchmarks (deduplicated: newest per config+conc+isl+osl, no errors). */
+ *  Uses benchmark_results with error/workflow filters to include full history. */
 export async function getSubmissionVolume(sql: DbClient): Promise<SubmissionVolumeRow[]> {
   const rows = await sql`
     SELECT
-      lb.date::text,
+      br.date::text,
       c.hardware,
       COUNT(*)::int AS datapoints
-    FROM latest_benchmarks lb
-    JOIN configs c ON c.id = lb.config_id
-    GROUP BY lb.date, c.hardware
-    ORDER BY lb.date ASC
+    FROM benchmark_results br
+    JOIN configs c ON c.id = br.config_id
+    JOIN latest_workflow_runs wr ON wr.id = br.workflow_run_id
+    WHERE br.error IS NULL
+    GROUP BY br.date, c.hardware
+    ORDER BY br.date ASC
   `;
   return rows as unknown as SubmissionVolumeRow[];
 }