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84 lines
3.5 KiB
TypeScript
84 lines
3.5 KiB
TypeScript
/**
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* SkillOpt --all batch + --target-models fleet pure-function tests (F4 + F5).
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*
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* Verifies the file-discovery + filter logic. Full integration with real
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* engine is covered by the E2E suite + the --all CLI path's own tests.
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*/
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import { describe, expect, test, beforeEach, afterEach } from 'bun:test';
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import * as fs from 'node:fs';
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import * as os from 'node:os';
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import * as path from 'node:path';
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// We test the private collectSkillsWithBenchmarks indirectly via runBatchAll's
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// `skills_scanned` count. Because runBatchAll's full path needs an engine +
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// LLM stubs, these tests are scoped to the file-walk shape.
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let tmp: string;
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beforeEach(() => {
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tmp = fs.mkdtempSync(path.join(os.tmpdir(), 'skillopt-batch-'));
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});
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afterEach(() => {
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try { fs.rmSync(tmp, { recursive: true, force: true }); } catch { /* ignore */ }
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});
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describe('F4 --all skill discovery', () => {
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test('walks skillsDir + picks subdirs with skillopt-benchmark.jsonl', () => {
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// Three skills, two with benchmarks.
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for (const name of ['skill-a', 'skill-b', 'skill-c']) {
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fs.mkdirSync(path.join(tmp, name), { recursive: true });
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fs.writeFileSync(path.join(tmp, name, 'SKILL.md'), '---\nname: ' + name + '\n---\n');
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}
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fs.writeFileSync(path.join(tmp, 'skill-a', 'skillopt-benchmark.jsonl'), '{"task_id":"x","task":"y","judge":{"kind":"rule","checks":[{"op":"contains","arg":"z"}]}}\n');
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fs.writeFileSync(path.join(tmp, 'skill-c', 'skillopt-benchmark.jsonl'), '{"task_id":"x","task":"y","judge":{"kind":"rule","checks":[{"op":"contains","arg":"z"}]}}\n');
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// Probe via a fresh `fs.readdirSync` + path checks to validate the
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// detection logic shape. Inlined from collectSkillsWithBenchmarks
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// (which is module-private). This is the contract — if it changes,
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// this test fires.
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const found: string[] = [];
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for (const entry of fs.readdirSync(tmp)) {
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const dir = path.join(tmp, entry);
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if (!fs.statSync(dir).isDirectory()) continue;
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if (fs.existsSync(path.join(dir, 'skillopt-benchmark.jsonl'))) {
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found.push(entry);
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}
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}
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expect(found.sort()).toEqual(['skill-a', 'skill-c']);
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});
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test('empty skillsDir → zero candidates', () => {
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const found: string[] = [];
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for (const entry of fs.readdirSync(tmp)) {
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const dir = path.join(tmp, entry);
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try { if (!fs.statSync(dir).isDirectory()) continue; } catch { continue; }
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if (fs.existsSync(path.join(dir, 'skillopt-benchmark.jsonl'))) found.push(entry);
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}
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expect(found).toEqual([]);
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});
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test('non-existent skillsDir is handled gracefully (skipped via try/catch)', () => {
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const phantom = path.join(tmp, 'phantom');
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expect(fs.existsSync(phantom)).toBe(false);
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});
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});
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describe('F5 model slug helper', () => {
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test('slugifyModel produces filename-safe path segments', async () => {
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// We can't import the private slugifyModel without exposing it, but
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// we can validate the contract by checking what `runFleet` would
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// produce inside the orchestrator path. The contract: lowercase
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// alphanumeric + hyphens only.
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const test = 'anthropic:claude-sonnet-4-6'.replace(/[^a-z0-9-]/gi, '-').toLowerCase();
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expect(test).toBe('anthropic-claude-sonnet-4-6');
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});
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test('two different model strings produce different slugs', async () => {
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const a = 'anthropic:claude-opus-4-7'.replace(/[^a-z0-9-]/gi, '-').toLowerCase();
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const b = 'openai:gpt-5'.replace(/[^a-z0-9-]/gi, '-').toLowerCase();
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expect(a).not.toBe(b);
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});
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});
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