feat(tco-feed): serve the tier-weighted per-hardware score via view=scores / tco-feed 新增 view=scores，直接输出按层级加权的单芯片分数

AGENTS.md

@@ -72,9 +72,9 @@ API routes (`packages/app/src/app/api/v1/`):
 - `evaluations` — raw `EvalRow[]`
 - `server-log` — retrieve benchmark runtime logs
 - `invalidate` — invalidate API cache (admin)
-- `tco-feed?model=dsv4&workloads=1024x1024,8192x1024&tiers=30,50,75,100&format=csv` — per-hardware Pareto-frontier output-throughput reads at fixed interactivity tiers, for external spreadsheet TCO models (Excel Power Query)
+- `tco-feed?model=dsv4&workloads=1024x1024,8192x1024&tiers=30,50,75,100&format=csv` — per-hardware Pareto-frontier output-throughput reads at fixed interactivity tiers, for external spreadsheet TCO models (Excel Power Query); `view=scores` (optional `weights`, `workload_weights`, `alpha`) folds them into one tier-weighted, workload-blended, output-equivalent score per hardware
 
-**API routes return raw DB data** — no presentation logic. Frontend handles all transformations. Sole exception: `tco-feed`, which runs the calculator's frontier interpolation server-side because its consumers (spreadsheets) cannot execute the TS transforms; it serves reads only — weights/assumptions stay with the consumer.
+**API routes return raw DB data** — no presentation logic. Frontend handles all transformations. Sole exception: `tco-feed`, which runs the calculator's frontier interpolation server-side because its consumers (spreadsheets) cannot execute the TS transforms; its assumptions (tier weights, workload mix, α) enter only as explicit query params with documented defaults, so a published sheet's URL fully records its methodology.
 
 Static content routes (no DB):
 

packages/app/src/app/api/v1/tco-feed/route.ts

@@ -10,9 +10,14 @@ import { loadFixture } from '@/lib/test-fixtures';
 
 import {
   computeTcoFeed,
+  computeTcoScores,
+  parseAlpha,
   parseTiers,
+  parseTierWeights,
   parseWorkloads,
+  parseWorkloadWeights,
   tcoFeedToCsv,
+  tcoScoresToCsv,
   type TcoFeedRow,
   type TcoFeedSourceRow,
   type TcoFeedWorkload,
@@ -31,9 +36,11 @@ export const dynamic = 'force-dynamic';
  * data" convention: it applies the dashboard's frontier interpolation
  * (calculator/interpolation.ts) server-side so external consumers get
  * numbers identical to what the chart renders, without reimplementing —
- * and inevitably drifting from — the spline. Keep all *assumptions*
- * (tier weights, workload mix, token-value ratios) out of this route;
- * it serves reads, consumers apply weights.
+ * and inevitably drifting from — the spline. Assumptions (tier weights,
+ * workload mix, the α token-value ratio) enter ONLY as query params on the
+ * `scores` view, never as hidden constants beyond the documented defaults —
+ * a published sheet's URL fully records its methodology, and `view=scores`
+ * is exactly SUMPRODUCT over the `points` view, reproducible by hand.
  *
  * Query params (all optional):
  * - model     — DB key (`dsv4`) or display name (`DeepSeek-V4-Pro`).
@@ -45,6 +52,21 @@ export const dynamic = 'force-dynamic';
  * - date      — `YYYY-MM-DD`; reads use data as of this date
  *               (reproducibility of published sheets). Default: latest.
  * - format    — `json` (default) or `csv` (one-line Power Query import).
+ * - view      — `points` (default): one row per hardware × workload × tier.
+ *               `scores`: one row per hardware — tier-weighted, workload-
+ *               blended, output-equivalent tok/s/GPU (the single number a
+ *               TCO sheet consumes per chip).
+ *
+ * `scores`-only params (400 with `view=points`):
+ * - weights          — per-tier traffic-mix weights, comma-separated,
+ *                      normalized to sum 1. Default `0.35,0.4,0.2,0.05`
+ *                      for the default tiers, equal weights otherwise.
+ * - workload_weights — per-workload blend weights, normalized to sum 1.
+ *                      Default: equal split. Renormalized over covered
+ *                      workloads when a chip lacks data for one.
+ * - alpha            — input-token value ratio in the output-equivalent
+ *                      conversion `out × (1 + α × ISL/OSL)`. Default 0.25;
+ *                      `alpha=0` scores plain output throughput.
  */
 
 const getCachedTcoFeed = cachedQuery(
@@ -104,11 +126,75 @@ export async function GET(request: NextRequest) {
     return NextResponse.json({ error: 'Invalid format — expected json or csv' }, { status: 400 });
   }
 
+  const view = params.get('view') ?? 'points';
+  if (view !== 'points' && view !== 'scores') {
+    return NextResponse.json(
+      { error: 'Invalid view — expected points or scores' },
+      { status: 400 },
+    );
+  }
+
+  const rawWeights = params.get('weights');
+  const rawWorkloadWeights = params.get('workload_weights');
+  const rawAlpha = params.get('alpha');
+  if (view === 'points' && (rawWeights ?? rawWorkloadWeights ?? rawAlpha) !== null) {
+    // Reject rather than ignore — a consumer passing weights to the points
+    // view would silently get unweighted numbers.
+    return NextResponse.json(
+      { error: 'weights, workload_weights, and alpha require view=scores' },
+      { status: 400 },
+    );
+  }
+
+  const tierWeights = parseTierWeights(rawWeights, tiers);
+  if (!tierWeights) {
+    return NextResponse.json(
+      { error: 'Invalid weights — expected one non-negative number per tier, sum > 0' },
+      { status: 400 },
+    );
+  }
+
+  const workloadWeights = parseWorkloadWeights(rawWorkloadWeights, workloads);
+  if (!workloadWeights) {
+    return NextResponse.json(
+      {
+        error: 'Invalid workload_weights — expected one non-negative number per workload, sum > 0',
+      },
+      { status: 400 },
+    );
+  }
+
+  const alpha = parseAlpha(rawAlpha);
+  if (alpha === null) {
+    return NextResponse.json(
+      { error: 'Invalid alpha — expected a number in [0, 10]' },
+      { status: 400 },
+    );
+  }
+
   try {
     const rows = FIXTURES_MODE
       ? computeTcoFeed(loadFixture<TcoFeedSourceRow[]>('benchmarks'), workloads, tiers)
       : await getCachedTcoFeed(dbModelKeys, date, workloads, tiers);
 
+    if (view === 'scores') {
+      const scores = computeTcoScores(rows, workloads, tiers, tierWeights, workloadWeights, alpha);
+      if (format === 'csv') {
+        return cachedText(tcoScoresToCsv(scores, workloads), 'text/csv; charset=utf-8');
+      }
+      return cachedJson({
+        model,
+        db_model_keys: dbModelKeys,
+        date: date ?? null,
+        workloads: workloads.map((w) => `${w.isl}x${w.osl}`),
+        tiers,
+        weights: tierWeights,
+        workload_weights: workloadWeights,
+        alpha,
+        rows: scores,
+      });
+    }
+
     if (format === 'csv') {
       return cachedText(tcoFeedToCsv(rows), 'text/csv; charset=utf-8');
     }

packages/app/src/lib/tco-feed.test.ts

@@ -2,11 +2,18 @@ import { describe, expect, it } from 'vitest';
 
 import {
   computeTcoFeed,
+  computeTcoScores,
+  DEFAULT_ALPHA,
+  DEFAULT_TIER_WEIGHTS,
   DEFAULT_TIERS,
   DEFAULT_WORKLOADS,
+  parseAlpha,
   parseTiers,
+  parseTierWeights,
   parseWorkloads,
+  parseWorkloadWeights,
   tcoFeedToCsv,
+  tcoScoresToCsv,
   type TcoFeedRow,
   type TcoFeedSourceRow,
 } from './tco-feed';
@@ -219,6 +226,11 @@ describe('parseTiers', () => {
     expect(parseTiers('10001')).toBeNull();
     expect(parseTiers(Array.from({ length: 21 }, (_, i) => String(i + 1)).join(','))).toBeNull();
   });
+
+  it('rejects duplicate tiers (would double-count in the scores view)', () => {
+    expect(parseTiers('50,50')).toBeNull();
+    expect(parseTiers('50,50.0')).toBeNull(); // same numeric value
+  });
 });
 
 describe('parseWorkloads', () => {
@@ -242,6 +254,68 @@ describe('parseWorkloads', () => {
     expect(parseWorkloads('8192x')).toBeNull();
     expect(parseWorkloads(Array.from({ length: 9 }, () => '1024x1024').join(','))).toBeNull();
   });
+
+  it('rejects duplicate workloads (would double-count in the scores view)', () => {
+    expect(parseWorkloads('8192x1024,8192x1024')).toBeNull();
+  });
+});
+
+describe('parseTierWeights', () => {
+  it('defaults to the traffic-mix weights for the default tiers', () => {
+    expect(parseTierWeights(null, DEFAULT_TIERS)).toEqual([...DEFAULT_TIER_WEIGHTS]);
+    expect(parseTierWeights('  ', [30, 50, 75, 100])).toEqual([...DEFAULT_TIER_WEIGHTS]);
+  });
+
+  it('defaults to equal weights for custom tiers', () => {
+    expect(parseTierWeights(null, [20, 60])).toEqual([0.5, 0.5]);
+  });
+
+  it('normalizes provided weights to sum 1', () => {
+    expect(parseTierWeights('2,2,4,2', [30, 50, 75, 100])).toEqual([0.2, 0.2, 0.4, 0.2]);
+  });
+
+  it('rejects count mismatch, negatives, zero sums, and non-numbers', () => {
+    expect(parseTierWeights('0.5,0.5', [30, 50, 75])).toBeNull();
+    expect(parseTierWeights('-1,2', [30, 50])).toBeNull();
+    expect(parseTierWeights('0,0', [30, 50])).toBeNull();
+    expect(parseTierWeights('a,b', [30, 50])).toBeNull();
+    expect(parseTierWeights('0.5,,0.5', [30, 50, 75])).toBeNull();
+  });
+});
+
+describe('parseWorkloadWeights', () => {
+  it('defaults to an equal split', () => {
+    expect(parseWorkloadWeights(null, [...DEFAULT_WORKLOADS])).toEqual([0.5, 0.5]);
+  });
+
+  it('normalizes provided weights to sum 1', () => {
+    expect(parseWorkloadWeights('3,1', [...DEFAULT_WORKLOADS])).toEqual([0.75, 0.25]);
+  });
+
+  it('rejects count mismatch, negatives, and zero sums', () => {
+    expect(parseWorkloadWeights('1', [...DEFAULT_WORKLOADS])).toBeNull();
+    expect(parseWorkloadWeights('1,-1', [...DEFAULT_WORKLOADS])).toBeNull();
+    expect(parseWorkloadWeights('0,0', [...DEFAULT_WORKLOADS])).toBeNull();
+  });
+});
+
+describe('parseAlpha', () => {
+  it('defaults when absent or blank', () => {
+    expect(parseAlpha(null)).toBe(DEFAULT_ALPHA);
+    expect(parseAlpha(' ')).toBe(DEFAULT_ALPHA);
+  });
+
+  it('parses valid values including 0 (plain output throughput)', () => {
+    expect(parseAlpha('0')).toBe(0);
+    expect(parseAlpha('0.5')).toBe(0.5);
+    expect(parseAlpha('10')).toBe(10);
+  });
+
+  it('rejects negatives, out-of-range, and non-numbers', () => {
+    expect(parseAlpha('-0.1')).toBeNull();
+    expect(parseAlpha('10.1')).toBeNull();
+    expect(parseAlpha('abc')).toBeNull();
+  });
 });
 
 describe('tcoFeedToCsv', () => {
@@ -259,3 +333,114 @@ describe('tcoFeedToCsv', () => {
     expect(csv.endsWith('\n')).toBe(true);
   });
 });
+
+const BOTH_WORKLOADS = [
+  { isl: 1024, osl: 1024 },
+  { isl: 8192, osl: 1024 },
+];
+
+/**
+ * b200 covers both workloads (single-knot frontiers read exactly at tier
+ * 50); gb300 covers only 8k1k.
+ */
+function twoWorkloadRows(): TcoFeedSourceRow[] {
+  return [
+    makeRow({
+      hardware: 'b200',
+      isl: 1024,
+      osl: 1024,
+      itl: 1 / 50,
+      otput: 1000,
+      date: '2026-05-01',
+    }),
+    makeRow({ hardware: 'b200', itl: 1 / 50, otput: 400, date: '2026-07-01' }),
+    makeRow({ hardware: 'gb300', itl: 1 / 50, otput: 5000 }),
+  ];
+}
+
+describe('computeTcoScores', () => {
+  it('is exactly the weighted sum over the points view, times the output-equivalent factor', () => {
+    // Knots at iv 20/50/100 read exactly at those tiers: 1000/400/100.
+    const tiers = [20, 50, 100];
+    const feed = computeTcoFeed(threeKnotRows(), WORKLOAD_8K1K, tiers);
+    const scores = computeTcoScores(feed, WORKLOAD_8K1K, tiers, [0.5, 0.3, 0.2], [1], 0.25);
+    expect(scores).toHaveLength(1);
+    // 0.5·1000 + 0.3·400 + 0.2·100 = 640, ×(1 + 0.25·8192/1024) = ×3.
+    expect(scores[0].workload_scores['8192x1024']).toBe(640);
+    expect(scores[0].score).toBe(1920);
+    // alpha=0 scores plain output throughput.
+    const plain = computeTcoScores(feed, WORKLOAD_8K1K, tiers, [0.5, 0.3, 0.2], [1], 0);
+    expect(plain[0].score).toBe(640);
+  });
+
+  it('unreachable tiers contribute 0 at full weight; clamped tiers contribute the clamp', () => {
+    // Frontier spans iv 40 → 80.
+    const source = [makeRow({ itl: 1 / 40, otput: 800 }), makeRow({ itl: 1 / 80, otput: 200 })];
+    const tiers = [30, 40, 100];
+    const feed = computeTcoFeed(source, WORKLOAD_8K1K, tiers);
+    const scores = computeTcoScores(feed, WORKLOAD_8K1K, tiers, [0.25, 0.5, 0.25], [1], 0);
+    // 0.25·800 (clamped) + 0.5·800 + 0.25·0 (unreachable) = 600 — the
+    // unreachable tier's weight is NOT redistributed to reachable tiers.
+    expect(scores[0].score).toBe(600);
+    expect(scores[0].unreachable_tiers).toBe(1);
+    expect(scores[0].clamped_tiers).toBe(1);
+  });
+
+  it('blends workloads and renormalizes over covered ones for partial coverage', () => {
+    const feed = computeTcoFeed(twoWorkloadRows(), BOTH_WORKLOADS, [50]);
+    const scores = computeTcoScores(feed, BOTH_WORKLOADS, [50], [1], [0.5, 0.5], 0);
+    expect(scores.map((s) => s.hardware)).toEqual(['b200', 'gb300']);
+
+    const b200 = scores[0];
+    expect(b200.workload_scores).toEqual({ '1024x1024': 1000, '8192x1024': 400 });
+    expect(b200.score).toBe(700); // 0.5·1000 + 0.5·400
+    expect(b200.workloads_covered).toBe(2);
+
+    // gb300 lacks 1k1k → its weight renormalizes onto 8k1k alone.
+    const gb300 = scores[1];
+    expect(gb300.workload_scores).toEqual({ '1024x1024': null, '8192x1024': 5000 });
+    expect(gb300.score).toBe(5000);
+    expect(gb300.workloads_covered).toBe(1);
+  });
+
+  it('applies per-workload output-equivalent factors before blending', () => {
+    const feed = computeTcoFeed(twoWorkloadRows(), BOTH_WORKLOADS, [50]);
+    const scores = computeTcoScores(feed, BOTH_WORKLOADS, [50], [1], [0.5, 0.5], 0.25);
+    // 0.5·1000·(1 + 0.25·1) + 0.5·400·(1 + 0.25·8) = 625 + 600.
+    expect(scores[0].score).toBe(1225);
+  });
+
+  it('scores 0 when the only covered workloads carry zero weight', () => {
+    const feed = computeTcoFeed(twoWorkloadRows(), BOTH_WORKLOADS, [50]);
+    const scores = computeTcoScores(feed, BOTH_WORKLOADS, [50], [1], [1, 0], 0);
+    const gb300 = scores.find((s) => s.hardware === 'gb300')!;
+    expect(gb300.score).toBe(0);
+  });
+
+  it('carries the newest latest_date and oldest frontier date across covered workloads', () => {
+    const feed = computeTcoFeed(twoWorkloadRows(), BOTH_WORKLOADS, [50]);
+    const scores = computeTcoScores(feed, BOTH_WORKLOADS, [50], [1], [0.5, 0.5], 0);
+    expect(scores[0].latest_date).toBe('2026-07-01');
+    expect(scores[0].oldest_frontier_date).toBe('2026-05-01');
+  });
+
+  it('returns an empty list for an empty feed', () => {
+    expect(computeTcoScores([], BOTH_WORKLOADS, [50], [1], [0.5, 0.5], 0)).toEqual([]);
+  });
+});
+
+describe('tcoScoresToCsv', () => {
+  it('emits one score_<workload> column per requested workload, blank when uncovered', () => {
+    const feed = computeTcoFeed(twoWorkloadRows(), BOTH_WORKLOADS, [50]);
+    const scores = computeTcoScores(feed, BOTH_WORKLOADS, [50], [1], [0.5, 0.5], 0);
+    const csv = tcoScoresToCsv(scores, BOTH_WORKLOADS);
+    const lines = csv.split('\n');
+    expect(lines[0]).toBe(
+      'hardware,score,score_1024x1024,score_8192x1024,workloads_covered,' +
+        'unreachable_tiers,clamped_tiers,latest_date,oldest_frontier_date',
+    );
+    expect(lines[1]).toBe('b200,700,1000,400,2,0,0,2026-07-01,2026-05-01');
+    expect(lines[2]).toBe('gb300,5000,,5000,1,0,0,2026-07-10,2026-07-10');
+    expect(csv.endsWith('\n')).toBe(true);
+  });
+});