File size: 13,523 Bytes
da8db3e
 
 
 
d249d5b
da8db3e
 
 
 
 
d249d5b
da8db3e
 
 
 
 
 
 
 
 
d249d5b
 
da8db3e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d249d5b
da8db3e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
import { describe, expect, it } from "vitest"

import { getCanonicalModelIdentity } from "../../lib/model-family"

// Executable spec for the setup-alias-merging transformation.
//
// These tests describe TS as it currently runs in production. Quirks are
// preserved on purpose β€” the migration target is to move the computation
// upstream without changing what users see, not to fix transformation
// decisions. If a test below looks "wrong" to product sense, that's a
// future product decision; fixing it is out of scope here.
//
// Pipeline-side implementation must produce identical outputs for every
// row. Verify cross-corpus equivalence with `scripts/verify-setup-alias.mjs`
// once pipeline ships.

// ---------------------------------------------------------------------------
// Group A β€” isSetupAliasQualifier truth table
// ---------------------------------------------------------------------------
//
// Reproduces the function from lib/hf-data.ts (and its identical
// twin in scripts/cache-hf-data.mjs). Pipeline must match exactly.

function normalizeSetupAliasQualifier(value: string | null | undefined): string {
  return value?.trim().toLowerCase().replace(/[_\s]+/g, "-") ?? ""
}

function isSetupAliasQualifier(value: string | null | undefined): boolean {
  const normalized = normalizeSetupAliasQualifier(value)
  return (
    normalized === "prompt" ||
    normalized === "fc" ||
    normalized === "function-calling" ||
    normalized.startsWith("thinking")
  )
}

describe("Group A β€” isSetupAliasQualifier", () => {
  const cases = [
    { input: "prompt", expected: true, why: "exact: prompt" },
    { input: "Prompt", expected: true, why: "case-insensitive" },
    { input: "PROMPT", expected: true, why: "case-insensitive" },
    { input: "fc", expected: true, why: "exact: fc" },
    { input: "FC", expected: true, why: "case-insensitive" },
    { input: "function-calling", expected: true, why: "exact" },
    { input: "function calling", expected: true, why: "space β†’ dash" },
    { input: "function_calling", expected: true, why: "underscore β†’ dash" },
    { input: "thinking", expected: true, why: "exact thinking" },
    { input: "thinking-1k", expected: true, why: "starts with thinking" },
    { input: "thinking-medium", expected: true, why: "starts with thinking" },
    { input: "thinking-none", expected: true, why: "starts with thinking" },
    { input: "thinking_xhigh", expected: true, why: "underscore β†’ dash, then prefix" },
    { input: "Thinking 1K", expected: true, why: "case + space normalized β†’ starts with thinking" },
    { input: "high", expected: false, why: "non-alias inference qualifier" },
    { input: "medium", expected: false, why: "non-alias" },
    { input: "low", expected: false, why: "non-alias" },
    { input: "minimal", expected: false, why: "non-alias" },
    { input: "8k", expected: false, why: "context-length without thinking prefix" },
    { input: "16k", expected: false, why: "context-length without thinking prefix" },
    { input: "", expected: false, why: "empty" },
    { input: null, expected: false, why: "null" },
    { input: undefined, expected: false, why: "undefined" },
    { input: "  prompt  ", expected: true, why: "leading/trailing whitespace trimmed" },
    { input: "prompts", expected: false, why: "trailing s β€” not exact prompt and no thinking prefix" },
    { input: "fcfc", expected: false, why: "doesn't match exact fc" },
  ]
  it.each(cases)("'$input' β†’ $expected ($why)", ({ input, expected }) => {
    expect(isSetupAliasQualifier(input)).toBe(expected)
  })
})

// ---------------------------------------------------------------------------
// Group B β€” End-to-end variant normalization (TS-as-is)
// ---------------------------------------------------------------------------
//
// Replicates lib/hf-data.ts verbatim, NO date-format fix applied.
// Documents the dashed-date fall-through behaviour as the canonical spec.

interface VariantInput {
  variant_key: string
  variant_label?: string
}

function normalizeOne(familyId: string, variant: VariantInput): { variant_key: string; variant_label: string } {
  if (variant.variant_key === "base") {
    return { variant_key: "default", variant_label: "Default" }
  }
  if (variant.variant_key === "default") {
    return { variant_key: "default", variant_label: variant.variant_label ?? "Default" }
  }

  const synth = getCanonicalModelIdentity({
    id: `${familyId}-${variant.variant_key}`,
    name: `${familyId}-${variant.variant_key}`,
  })

  if (synth.versionDate && isSetupAliasQualifier(synth.versionQualifier)) {
    return { variant_key: synth.versionDate, variant_label: synth.versionDate }
  }
  return { variant_key: synth.variantKey, variant_label: synth.variantLabel }
}

describe("Group B β€” End-to-end variant normalization", () => {
  const familyId = "openai/gpt-5.2"
  const cases = [
    { variant_key: "default", expected: { variant_key: "default", variant_label: "Default" }, why: "default passes through" },
    { variant_key: "base", expected: { variant_key: "default", variant_label: "Default" }, why: "base renamed to default" },
    { variant_key: "20251101", expected: { variant_key: "20251101", variant_label: "2025-11-01" }, why: "YYYYMMDD date-only β€” preserved as raw token, ISO label" },
    {
      variant_key: "2025-11-01",
      expected: { variant_key: "base", variant_label: "Current" },
      why: "DASHED date-only falls through to base β€” TS quirk, preserved as canonical for this migration",
    },
    {
      variant_key: "20240620-thinking",
      expected: { variant_key: "2024-06-20", variant_label: "2024-06-20" },
      why: "YYYYMMDD + thinking β†’ merge to ISO date",
    },
    {
      variant_key: "20240620-thinking-1k",
      expected: { variant_key: "2024-06-20", variant_label: "2024-06-20" },
      why: "YYYYMMDD + thinking-1k β†’ merge (startsWith match aggregates all thinking budgets)",
    },
    {
      variant_key: "20240620-thinking-medium",
      expected: { variant_key: "2024-06-20", variant_label: "2024-06-20" },
      why: "all thinking-N variants for this YYYYMMDD date collapse together",
    },
    { variant_key: "20240620-fc", expected: { variant_key: "2024-06-20", variant_label: "2024-06-20" }, why: "YYYYMMDD + fc β†’ merge" },
    { variant_key: "20240620-prompt", expected: { variant_key: "2024-06-20", variant_label: "2024-06-20" }, why: "YYYYMMDD + prompt β†’ merge" },
    {
      variant_key: "20240620-high",
      expected: { variant_key: "20240620-high", variant_label: "2024-06-20 Β· High" },
      why: "non-alias qualifier preserved with date",
    },
    {
      variant_key: "2025-12-11-thinking-medium",
      expected: { variant_key: "base", variant_label: "Current" },
      why: "DASHED date β€” regex doesn't match, falls through to base (TS quirk)",
    },
    {
      variant_key: "2025-12-11-thinking-1k",
      expected: { variant_key: "base", variant_label: "Current" },
      why: "DASHED date with thinking-1k β€” same fall-through",
    },
    {
      variant_key: "2025-12-11-fc",
      expected: { variant_key: "base", variant_label: "Current" },
      why: "DASHED date + fc β€” fall-through",
    },
    {
      variant_key: "2025-12-11-high",
      expected: { variant_key: "base", variant_label: "Current" },
      why: "DASHED date + non-alias qualifier β€” fall-through",
    },
    { variant_key: "gpt-foo-bar", expected: { variant_key: "base", variant_label: "Current" }, why: "no date detected" },
  ]
  it.each(cases)("'$variant_key' β†’ '$expected.variant_key' ($why)", ({ variant_key, expected }) => {
    const result = normalizeOne(familyId, { variant_key })
    expect(result.variant_key).toBe(expected.variant_key)
    expect(result.variant_label).toBe(expected.variant_label)
  })
})

// ---------------------------------------------------------------------------
// Group C β€” Multi-variant deduplication after normalization
// ---------------------------------------------------------------------------
//
// Documents the user-visible aggregation effect: cards with multiple
// dashed-date variants all collapse into a single "base" entry. This is
// TS as-is. If the team later decides users would benefit from
// disaggregation, that's a separate product call (see the spec doc).

function normalizeVariants(
  familyId: string,
  variants: Array<VariantInput & { evaluation_count?: number; raw_model_ids?: string[]; last_updated?: string }>
) {
  const byKey = new Map<
    string,
    { variant_key: string; variant_label: string; evaluation_count: number; raw_model_ids: string[]; last_updated?: string }
  >()
  for (const v of variants) {
    const norm = normalizeOne(familyId, v)
    const existing = byKey.get(norm.variant_key)
    if (existing) {
      existing.evaluation_count += v.evaluation_count ?? 0
      existing.raw_model_ids = Array.from(new Set([...existing.raw_model_ids, ...(v.raw_model_ids ?? [])])).sort()
      if (v.last_updated && (!existing.last_updated || new Date(v.last_updated) > new Date(existing.last_updated))) {
        existing.last_updated = v.last_updated
      }
    } else {
      byKey.set(norm.variant_key, {
        variant_key: norm.variant_key,
        variant_label: norm.variant_label,
        evaluation_count: v.evaluation_count ?? 0,
        raw_model_ids: [...(v.raw_model_ids ?? [])].sort(),
        last_updated: v.last_updated,
      })
    }
  }
  return [...byKey.values()]
}

describe("Group C β€” Multi-variant deduplication (TS-as-is)", () => {
  it("openai/gpt-5.2: 7 dashed-date variants collapse into default + base", () => {
    const result = normalizeVariants("openai/gpt-5.2", [
      { variant_key: "default", evaluation_count: 1, raw_model_ids: ["openai/gpt-5.2"] },
      {
        variant_key: "2025-12-11",
        evaluation_count: 3,
        raw_model_ids: ["openai/gpt-5.2-2025-12-11", "openai/gpt-5-2-2025-12-11-fc", "openai/gpt-5-2-2025-12-11-prompt"],
      },
      { variant_key: "2025-12-11-thinking-medium", evaluation_count: 1, raw_model_ids: ["openai/gpt-5-2-2025-12-11-thinking-medium"] },
      { variant_key: "2025-12-11-thinking-low", evaluation_count: 1, raw_model_ids: ["openai/gpt-5-2-2025-12-11-thinking-low"] },
      { variant_key: "2025-12-11-thinking-high", evaluation_count: 1, raw_model_ids: ["openai/gpt-5-2-2025-12-11-thinking-high"] },
      { variant_key: "2025-12-11-thinking-none", evaluation_count: 1, raw_model_ids: ["openai/gpt-5-2-2025-12-11-thinking-none"] },
      { variant_key: "2025-12-11-thinking-xhigh", evaluation_count: 1, raw_model_ids: ["openai/gpt-5-2-2025-12-11-thinking-xhigh"] },
    ])
    // All 6 dashed-date variants collapse into a single "base" entry. This
    // is TS-as-is behaviour and the canonical spec for this migration.
    expect(result.map((v) => v.variant_key).sort()).toEqual(["base", "default"])
    const base = result.find((v) => v.variant_key === "base")!
    expect(base.evaluation_count).toBe(8)
    expect(base.raw_model_ids.length).toBe(8)
  })

  it("anthropic/claude-haiku-4.5: YYYYMMDD-thinking-Nk variants merge into ISO date (startsWith match fires)", () => {
    const result = normalizeVariants("anthropic/claude-haiku-4.5", [
      { variant_key: "default", evaluation_count: 1, raw_model_ids: ["anthropic/claude-haiku-4.5"] },
      { variant_key: "20251001", evaluation_count: 2, raw_model_ids: ["anthropic/claude-haiku-4-5-20251001", "anthropic/claude-haiku-4-5-20251001-fc"] },
      { variant_key: "20251001-thinking-1k", evaluation_count: 1, raw_model_ids: ["anthropic/claude-haiku-4-5-20251001-thinking-1k"] },
      { variant_key: "20251001-thinking-8k", evaluation_count: 1, raw_model_ids: ["anthropic/claude-haiku-4-5-20251001-thinking-8k"] },
      { variant_key: "20251001-thinking-16k", evaluation_count: 1, raw_model_ids: ["anthropic/claude-haiku-4-5-20251001-thinking-16k"] },
      { variant_key: "20251001-thinking-32k", evaluation_count: 1, raw_model_ids: ["anthropic/claude-haiku-4-5-20251001-thinking-32k"] },
    ])
    // YYYYMMDD-thinking-Nk variants merge into "2024-10-01" (ISO) via the
    // startsWith("thinking") match. The base "20251001" stays as YYYYMMDD
    // because it has no qualifier. So they DON'T merge with each other β€”
    // different normalized keys ("20251001" vs "2025-10-01"). TS quirk.
    const keys = result.map((v) => v.variant_key).sort()
    expect(keys).toContain("default")
    expect(keys).toContain("20251001")
    expect(keys).toContain("2025-10-01")
    expect(keys.length).toBe(3)
    const merged = result.find((v) => v.variant_key === "2025-10-01")!
    expect(merged.evaluation_count).toBe(4)
    expect(merged.raw_model_ids.length).toBe(4)
  })

  it("non-alias qualifiers with YYYYMMDD dates preserved as separate variants", () => {
    const result = normalizeVariants("openai/gpt-5", [
      { variant_key: "default", evaluation_count: 1, raw_model_ids: [] },
      { variant_key: "20250807", evaluation_count: 1, raw_model_ids: [] },
      { variant_key: "20250807-high", evaluation_count: 1, raw_model_ids: [] },
      { variant_key: "20250807-low", evaluation_count: 1, raw_model_ids: [] },
      { variant_key: "20250807-medium", evaluation_count: 1, raw_model_ids: [] },
      { variant_key: "20250807-minimal", evaluation_count: 1, raw_model_ids: [] },
    ])
    expect(result.map((v) => v.variant_key).sort()).toEqual([
      "20250807",
      "20250807-high",
      "20250807-low",
      "20250807-medium",
      "20250807-minimal",
      "default",
    ])
  })
})