portal/tools/status-md-generator.test.mjs

import { describe, it, expect } from 'vitest';
import { renderStatus, computeCostBlock, computeAnomalyBlock, computeSelfRetrospectBlock, computeReviewerBlock, computeReviewerFindingsBlock, computeSessionLengthBlock } from './status-md-generator.mjs';

// brain-retro #9 candidate 5 (2026-05-28): surface long-running system processes in STATUS.md.
// Block is passed as pre-computed string `systemHealthBlock` in inputs — same wiring pattern
// as sessionLengthBlock, costBlock, etc. (no I/O in renderStatus).
describe('renderStatus — systemHealthBlock (brain-retro #9 candidate 5)', () => {
  const minInputs = {
    now: '2026-05-28T10:00:00Z',
    c1: { status: 'ok', detail: 'OK' },
    c2: { status: 'ok', detail: 'OK' },
    c3: { status: 'ok', detail: 'OK' },
    c5: { status: 'ok', detail: 'OK' },
    c6: { status: 'ok', detail: 'OK' },
    observer: { episodeCount: 5, observerErrors: 0, piiMatches: 0, v1Episodes: 0 },
    missed: { totalMissed: 0, byNode: {}, byClassification: {} },
  };

  it('renders systemHealthBlock when provided as string', () => {
    const block = '## System Health\n\nТоп-3 процессов с CPU > 1ч:\n\n| PID | Имя | CPU-время | Возраст |\n|---|---|---|---|\n| 6444 | python | 7.07ч | 13.6ч |\n\n⚠️ Проверь, не «осиротевшие» ли это процессы.\n';
    const md = renderStatus({ ...minInputs, systemHealthBlock: block });
    expect(md).toContain('## System Health');
    expect(md).toContain('6444');
    expect(md).toContain('python');
  });

  it('omits systemHealthBlock when absent (backward compat)', () => {
    const md = renderStatus(minInputs);
    // Should not contain System Health section
    expect(md).not.toContain('## System Health');
  });

  it('renders "Долго работающих процессов нет" variant correctly', () => {
    const block = '## System Health\n\nДолго работающих процессов нет (порог CPU > 1ч).\n';
    const md = renderStatus({ ...minInputs, systemHealthBlock: block });
    expect(md).toContain('Долго работающих процессов нет');
  });
});

const baseInputs = (overrides = {}) => ({
  now: '2026-05-19T10:00:00+03:00',
  c1: { status: 'ok', detail: 'no drift' },
  c2: { status: 'ok', detail: '0 version drift' },
  c3: { status: 'ok', detail: 'last read today' },
  c5: { status: 'ok', detail: 'coverage OK · registration OK' },
  c6: { status: 'ok', detail: '14 chains in sync' },
  observer: { episodeCount: 12, observerErrors: 0, piiMatches: 0 },
  missed: { totalMissed: 0, byNode: {}, byClassification: {} },
  ...overrides,
});

describe('renderStatus', () => {
  it('renders all 5 controllers + metrics', () => {
    const md = renderStatus(baseInputs());
    expect(md).toContain('# Brain Status');
    expect(md).toContain('| C1 L1-watcher | ✅');
    expect(md).toContain('| C2 Cross-ref consistency | ✅');
    expect(md).toContain('| C3 Observer-of-observer | ✅');
    expect(md).toContain('| C4 Сигнальный статус | ✅');
    expect(md).toContain('| C5 Observer-coverage | ✅');
    expect(md).toContain('12 episodes');
  });

  it('includes a C6 chain-map row', () => {
    const md = renderStatus(baseInputs());
    expect(md).toContain('| C6 Chain map sync | ✅');
  });

  it('shows a warn status for the coverage controller', () => {
    const md = renderStatus(baseInputs({ c5: { status: 'warn', detail: '3 commits, 0 episodes' } }));
    expect(md).toContain('| C5 Observer-coverage | ⚠️');
  });

  it('shows the observer_error count in the metrics block', () => {
    const md = renderStatus(baseInputs({ observer: { episodeCount: 4, observerErrors: 2, piiMatches: 0 } }));
    expect(md).toContain('2 observer_error markers');
  });

  it('shows a red status for failing controllers', () => {
    const md = renderStatus(baseInputs({ c1: { status: 'fail', detail: '2 plugins not formalized' } }));
    expect(md).toContain('| C1 L1-watcher | 🔴');
  });

  it('mentions the conditional capability-readiness behavioral rule (§16.4 v1.36)', () => {
    const md = renderStatus(baseInputs());
    expect(md).toContain('Неиспользованные узлы — не алерт');
    expect(md).toContain('если профильной задачи не было');
    expect(md).toContain('feedback_brain_unused_tools_not_problem');
  });

  it('shows piiMatches > 0 when counter file has data (Task 3)', () => {
    const md = renderStatus(baseInputs({ observer: { episodeCount: 24, observerErrors: 0, piiMatches: 7 } }));
    expect(md).toMatch(/7 PII matches before filter/);
  });
});

describe('renderStatus — last /brain-retro (Task 10)', () => {
  it('shows last /brain-retro days-ago when counter has data', () => {
    const md = renderStatus(baseInputs({ lastRetroDaysAgo: 3 }));
    expect(md).toMatch(/Last \/brain-retro:\s*3 day\(s\) ago/);
  });
  it('shows "never" when lastRetroDaysAgo is null', () => {
    const md = renderStatus(baseInputs({ lastRetroDaysAgo: null }));
    expect(md).toMatch(/Last \/brain-retro:\s*never/);
  });
  it('shows "never" when lastRetroDaysAgo is undefined', () => {
    const md = renderStatus(baseInputs());
    expect(md).toMatch(/Last \/brain-retro:\s*never/);
  });
});

describe('renderStatus — v1 episodes count surface (Task 18)', () => {
  it('shows v1 count when present', () => {
    const md = renderStatus(baseInputs({ observer: { episodeCount: 22, observerErrors: 0, piiMatches: 0, v1Episodes: 5 } }));
    expect(md).toMatch(/Legacy v1 episodes \(not in factor analysis\):\s*5/);
  });
  it('shows 0 when v1Episodes undefined', () => {
    const md = renderStatus(baseInputs());
    expect(md).toMatch(/Legacy v1 episodes \(not in factor analysis\):\s*0/);
  });
});

describe('renderStatus — missed activations (Task 7, Pravila §16.4 v1.36)', () => {
  it('renders missed_activations: 0 when there are no misses', () => {
    const md = renderStatus(baseInputs());
    expect(md).toContain('missed_activations: 0');
  });

  it('renders missed_activations: N when misses occur', () => {
    const md = renderStatus(baseInputs({
      missed: { totalMissed: 3, byNode: { '#11': 2, '#12': 1 }, byClassification: { refactor: 3 } },
    }));
    expect(md).toContain('missed_activations: 3');
  });

  it('keeps C5 ✅ when controller is ok and no misses', () => {
    const md = renderStatus(baseInputs());
    expect(md).toContain('| C5 Observer-coverage | ✅');
  });

  it('honors the c5 status override (warn) regardless of missed count', () => {
    const md = renderStatus(baseInputs({
      c5: { status: 'warn', detail: '16 missed activation(s)' },
    }));
    expect(md).toContain('| C5 Observer-coverage | ⚠️');
  });
});

describe('renderStatus — discipline block (stage 2)', () => {
  const baseInputs = {
    now: '2026-05-24T10:00:00Z',
    c1: { status: 'ok', detail: 'OK' },
    c2: { status: 'ok', detail: 'OK' },
    c3: { status: 'ok', detail: 'OK' },
    c5: { status: 'ok', detail: 'OK' },
    c6: { status: 'ok', detail: 'OK' },
    observer: { episodeCount: 10, observerErrors: 0, piiMatches: 0, v1Episodes: 0 },
    missed: { totalMissed: 0, byNode: {}, byClassification: {} },
    lastRetroDaysAgo: 0,
  };

  it('renders discipline table when discipline data is provided', () => {
    const md = renderStatus({
      ...baseInputs,
      discipline: {
        byClassification: {
          feature:  { episodes: 5, withTriggerMatch: 0, viaSkill: 0, pctTriggerMatch: 0, pctViaSkill: 0 },
          bugfix:   { episodes: 6, withTriggerMatch: 2, viaSkill: 2, pctTriggerMatch: 0.333, pctViaSkill: 0.333 },
        },
        routerStep: { distribution: { '1': 10, '3': 1 }, total: 11, suspicious: true },
        boundariesRate: { total: 11, withBoundaries: 3, rate: 0.273, byPathType: {} },
      },
    });
    expect(md).toMatch(/## Метрики дисциплины/);
    expect(md).toMatch(/feature/);
    expect(md).toMatch(/bugfix/);
    expect(md).toMatch(/33\.3%/);
    expect(md).toMatch(/router step distribution/i);
    expect(md).toMatch(/⚠️.*suspicious/i);
    expect(md).toMatch(/boundaries applied/i);
    expect(md).toMatch(/27\.3%/);
  });

  it('omits the discipline block when discipline is absent (backward compat)', () => {
    const md = renderStatus(baseInputs);
    expect(md).not.toMatch(/## Метрики дисциплины/);
  });

  it('coexists: both sessionLengthBlock (brain-retro candidate B) and overrideUsageBlock (enforce hole 8) appear together in template after merge', () => {
    const md = renderStatus({
      ...baseInputs,
      sessionLengthBlock: '## Длинные сессии\n\nflagged content',
      overrideUsageBlock: '## Использование override-фраз\n\nflagged content',
    });
    expect(md).toContain('## Длинные сессии');
    expect(md).toContain('## Использование override-фраз');
  });
});

// ── Phase 3 deferred #3: 4 new helper blocks ─────────────────────────────────

const PRICING_TEST = {
  sonnet46: { input_per_mtok: 3.0, output_per_mtok: 15.0 },
  opus47:   { input_per_mtok: 15.0, output_per_mtok: 75.0 },
};

const makeEp = (overrides = {}) => ({
  schema_version: 2,
  task_cost: {
    classifier_input_tokens: 0,
    classifier_output_tokens: 0,
    self_assessment_input_tokens: 0,
    self_assessment_output_tokens: 0,
    reviewer_subagent_usd: null,
    reviewer_input_tokens: 0,
    reviewer_output_tokens: 0,
    reviewer_direct_fallback_usd: null,
  },
  review: { reviewed_at: null, reviewer: null, reviewer_error: false },
  ...overrides,
});

describe('computeCostBlock', () => {
  it('sums token costs and formats USD for 3 episodes', () => {
    const eps = [
      makeEp({ task_cost: { classifier_input_tokens: 1000, classifier_output_tokens: 200, self_assessment_input_tokens: 500, self_assessment_output_tokens: 100, reviewer_subagent_usd: null, reviewer_input_tokens: 0, reviewer_output_tokens: 0, reviewer_direct_fallback_usd: null } }),
      makeEp({ task_cost: { classifier_input_tokens: 2000, classifier_output_tokens: 400, self_assessment_input_tokens: 1000, self_assessment_output_tokens: 200, reviewer_subagent_usd: 0.01, reviewer_input_tokens: 500, reviewer_output_tokens: 100, reviewer_direct_fallback_usd: null } }),
      makeEp({ task_cost: { classifier_input_tokens: 500,  classifier_output_tokens: 100, self_assessment_input_tokens: 250, self_assessment_output_tokens: 50, reviewer_subagent_usd: null, reviewer_input_tokens: 0, reviewer_output_tokens: 0, reviewer_direct_fallback_usd: 0.005 } }),
    ];
    const block = computeCostBlock(eps, PRICING_TEST);
    expect(block).toMatch(/## Стоимость месяца/);
    expect(block).toMatch(/Classifier/);
    expect(block).toMatch(/Self-assessment/);
    expect(block).toMatch(/Reviewer/);
    expect(block).toMatch(/\$\d+\.\d{2}/);
  });

  it('returns a block with zeros when episodes array is empty', () => {
    const block = computeCostBlock([], PRICING_TEST);
    expect(block).toMatch(/## Стоимость месяца/);
    expect(block).toMatch(/\$0\.00/);
  });
});

describe('computeAnomalyBlock', () => {
  it('returns "Аномалий нет." when all outputs are within threshold', () => {
    const eps = [
      makeEp({ task_cost: { ...makeEp().task_cost, classifier_output_tokens: 100 } }),
      makeEp({ task_cost: { ...makeEp().task_cost, classifier_output_tokens: 120 } }),
      makeEp({ task_cost: { ...makeEp().task_cost, classifier_output_tokens: 110 } }),
    ];
    const block = computeAnomalyBlock(eps);
    expect(block).toMatch(/## Аномалии классификатора/);
    expect(block).toMatch(/Аномалий нет\./);
  });

  it('lists the outlier episode when one exceeds threshold', () => {
    const eps = [
      makeEp({ task_cost: { ...makeEp().task_cost, classifier_output_tokens: 100 } }),
      makeEp({ task_cost: { ...makeEp().task_cost, classifier_output_tokens: 100 } }),
      makeEp({ task_cost: { ...makeEp().task_cost, classifier_output_tokens: 100 } }),
      makeEp({ task_cost: { ...makeEp().task_cost, classifier_output_tokens: 50000 } }),
    ];
    const block = computeAnomalyBlock(eps);
    expect(block).toMatch(/## Аномалии классификатора/);
    expect(block).toMatch(/50000/);
  });
});

describe('computeSelfRetrospectBlock', () => {
  it('returns block with days-ago and no warning when under threshold', () => {
    const fakeFs = {
      existsSync: () => true,
      readFileSync: () => JSON.stringify({ last_run_at: new Date(Date.now() - 2 * 86400000).toISOString(), episodes_since_last: 3, threshold: 10 }),
    };
    const block = computeSelfRetrospectBlock('fake/path.json', fakeFs);
    expect(block).toMatch(/## Авто-ретроспектива/);
    expect(block).toMatch(/2 day\(s\) ago/);
    expect(block).not.toMatch(/⚠️/);
  });

  it('adds warning when episodes_since_last >= threshold', () => {
    const fakeFs = {
      existsSync: () => true,
      readFileSync: () => JSON.stringify({ last_run_at: new Date(Date.now() - 5 * 86400000).toISOString(), episodes_since_last: 15, threshold: 10 }),
    };
    const block = computeSelfRetrospectBlock('fake/path.json', fakeFs);
    expect(block).toMatch(/⚠️/);
    expect(block).toMatch(/15/);
  });

  it('returns "never" when counter file is missing', () => {
    const fakeFs = { existsSync: () => false };
    const block = computeSelfRetrospectBlock('fake/path.json', fakeFs);
    expect(block).toMatch(/## Авто-ретроспектива/);
    expect(block).toMatch(/never/);
  });
});

describe('computeReviewerBlock', () => {
  it('shows subagent and fallback counts with percentages', () => {
    const eps = [
      makeEp({ review: { reviewed_at: '2026-05-01T00:00:00Z', reviewer: 'subagent-opus-4-7', reviewer_error: false } }),
      makeEp({ review: { reviewed_at: '2026-05-02T00:00:00Z', reviewer: 'subagent-opus-4-7', reviewer_error: false } }),
      makeEp({ review: { reviewed_at: '2026-05-03T00:00:00Z', reviewer: 'direct-opus-fallback', reviewer_error: false } }),
      makeEp({ review: { reviewed_at: null, reviewer: null, reviewer_error: false } }),
    ];
    const block = computeReviewerBlock(eps);
    expect(block).toMatch(/## Reviewer: субагент vs fallback/);
    expect(block).toMatch(/subagent-opus-4-7/);
    expect(block).toMatch(/direct-opus-fallback/);
    expect(block).toMatch(/\d+%/);
  });

  it('shows fallback message when no episodes were reviewed', () => {
    const eps = [
      makeEp(),
      makeEp(),
    ];
    const block = computeReviewerBlock(eps);
    expect(block).toMatch(/## Reviewer: субагент vs fallback/);
    expect(block).toMatch(/0 эпизодов проверено/);
  });
});

// brain-retro #7 C4 (2026-05-27): surface reviewer findings (wrong_skill,
// wrong_chain_order, alternative suggestions) directly in STATUS.md so the
// owner doesn't have to run /brain-retro to see them.
describe('computeReviewerFindingsBlock (C4 — brain-retro #7)', () => {
  it('counts error_root_cause and alternative_better across reviewed episodes', () => {
    const eps = [
      makeEp({ review: { reviewed_at: '2026-05-26T17:00:00Z', error_root_cause: 'wrong_skill', alternative_better: '#3', node_quality: 'wrong_node' } }),
      makeEp({ review: { reviewed_at: '2026-05-26T17:10:00Z', error_root_cause: 'wrong_skill', alternative_better: '#3', node_quality: 'disputable' } }),
      makeEp({ review: { reviewed_at: '2026-05-26T17:20:00Z', error_root_cause: 'wrong_chain_order', alternative_better: '#8', node_quality: 'disputable' } }),
      makeEp({ review: { reviewed_at: '2026-05-26T17:30:00Z', error_root_cause: 'external_failure', alternative_better: null, node_quality: 'correct' } }),
      makeEp({ review: { reviewed_at: '2026-05-26T17:40:00Z', error_root_cause: 'n/a', alternative_better: null, node_quality: 'correct' } }),
      makeEp({ review: { reviewed_at: null } }), // not reviewed — excluded
    ];
    const block = computeReviewerFindingsBlock(eps);
    expect(block).toMatch(/Reviewer findings/);
    expect(block).toMatch(/wrong_skill.*2/);
    expect(block).toMatch(/wrong_chain_order.*1/);
    expect(block).toMatch(/external_failure.*1/);
    // Top alternatives: #3 (x2), #8 (x1)
    expect(block).toMatch(/#3.*2/);
    expect(block).toMatch(/#8.*1/);
  });

  it('emits "никаких находок" when 0 reviewed episodes with actionable findings', () => {
    const eps = [makeEp(), makeEp()];
    const block = computeReviewerFindingsBlock(eps);
    expect(block).toMatch(/Reviewer findings/);
    expect(block).toMatch(/нет проверенных/i);
  });

  // batch-reviewer (tools/brain-retro-batch-reviewer.mjs) writes
  // `outcome_reviewed_source: "direct_api_batch"` at episode level and the
  // review object lacks `reviewed_at`. Detect via either signal.
  it('detects batch-reviewed episodes via outcome_reviewed_source (no reviewed_at)', () => {
    const eps = [
      { ...makeEp(), outcome_reviewed_source: 'direct_api_batch', review: { error_root_cause: 'wrong_skill', alternative_better: '#3', node_quality: 'wrong_node' } },
      { ...makeEp(), outcome_reviewed_source: 'direct_api_batch', review: { error_root_cause: 'n/a', alternative_better: null, node_quality: 'correct' } },
    ];
    const block = computeReviewerFindingsBlock(eps);
    expect(block).toMatch(/Reviewer findings/);
    expect(block).toMatch(/wrong_skill.*1/);
  });

  it('emits "всё чисто" when reviewed but no wrong_skill / wrong_chain_order', () => {
    const eps = [
      makeEp({ review: { reviewed_at: '2026-05-26T17:00:00Z', error_root_cause: 'n/a', alternative_better: null, node_quality: 'correct' } }),
      makeEp({ review: { reviewed_at: '2026-05-26T17:10:00Z', error_root_cause: 'n/a', alternative_better: null, node_quality: 'correct' } }),
    ];
    const block = computeReviewerFindingsBlock(eps);
    expect(block).toMatch(/Reviewer findings/);
    expect(block).toMatch(/всё чисто|без проблем/i);
  });
});

// brain-retro #7 C4 follow-up: wiring extra blocks risked introducing
// markdownlint MD012 (multiple consecutive blank lines) by chaining
// `\n${block}\n` with blocks whose templates end with `\n`. Guard.
describe('renderStatus — no double-blank-lines (MD012 lint guard)', () => {
  it('does not emit "\\n\\n\\n" anywhere when all blocks chained', () => {
    const inputs = {
      now: '2026-05-27T04:00:00Z',
      c1: { status: 'ok', detail: 'OK' },
      c2: { status: 'ok', detail: 'OK' },
      c3: { status: 'ok', detail: 'OK' },
      c5: { status: 'ok', detail: 'OK' },
      c6: { status: 'ok', detail: 'OK' },
      observer: { episodeCount: 1, observerErrors: 0, piiMatches: 0 },
      missed: { totalMissed: 0, byNode: {}, byClassification: {} },
      reviewerBlock: '## Reviewer: субагент vs fallback\n\n0 эпизодов проверено.\n',
      reviewerFindingsBlock: '## Reviewer findings\n\n(нет данных)\n',
      overrideUsageBlock: '## Использование override-фраз\n\n| ph | n |\n|---|---|\n| x | 0 |\n',
      selfRetrospectBlock: '## Авто-ретроспектива\n\nLast: never\n',
      costBlock: '## Cost\n\n$0\n',
    };
    const md = renderStatus(inputs);
    expect(md).not.toMatch(/\n\n\n/);
  });
});

describe('renderStatus — 4 new optional blocks integration', () => {
  const minInputs = {
    now: '2026-05-25T10:00:00Z',
    c1: { status: 'ok', detail: 'OK' },
    c2: { status: 'ok', detail: 'OK' },
    c3: { status: 'ok', detail: 'OK' },
    c5: { status: 'ok', detail: 'OK' },
    c6: { status: 'ok', detail: 'OK' },
    observer: { episodeCount: 5, observerErrors: 0, piiMatches: 0, v1Episodes: 0 },
    missed: { totalMissed: 0, byNode: {}, byClassification: {} },
  };

  it('renders all 4 blocks when provided as strings', () => {
    const md = renderStatus({
      ...minInputs,
      costBlock: '## Стоимость месяца\ncost content',
      anomalyBlock: '## Аномалии классификатора\nanomaly content',
      selfRetrospectBlock: '## Авто-ретроспектива\nretro content',
      reviewerBlock: '## Reviewer: субагент vs fallback\nreviewer content',
    });
    expect(md).toContain('## Стоимость месяца');
    expect(md).toContain('## Аномалии классификатора');
    expect(md).toContain('## Авто-ретроспектива');
    expect(md).toContain('## Reviewer: субагент vs fallback');
    expect(md).toContain('## Алерт-индикаторы');
  });

  it('omits all 4 blocks when absent (backward compat)', () => {
    const md = renderStatus(minInputs);
    expect(md).not.toContain('## Стоимость месяца');
    expect(md).not.toContain('## Аномалии классификатора');
    expect(md).not.toContain('## Авто-ретроспектива');
    expect(md).not.toContain('## Reviewer: субагент vs fallback');
  });
});

// -----------------------------------------------------------------------------
// computeSessionLengthBlock — brain-retro #5 candidate B (2026-05-26)
// Long sessions correlate with discipline drift; surface a warning when any
// session today (UTC) has ≥50 turns.
// -----------------------------------------------------------------------------

describe('computeSessionLengthBlock', () => {
  const day = '2026-05-26';
  const ep = (turn, opts = {}) => ({
    task_id: opts.id ?? 'sess-1',
    timestamps: { started_at: `${opts.day ?? day}T01:00:0${turn % 10}Z`, ended_at: `${opts.day ?? day}T01:00:0${turn % 10}Z` },
    environment: { session_turn: turn },
    path_type: opts.regulated ? 'regulated' : 'improvised',
  });

  it('returns "no data" placeholder when episodes empty', () => {
    expect(computeSessionLengthBlock([])).toContain('(нет данных)');
  });

  it('returns OK (✅) when no session reaches threshold', () => {
    const out = computeSessionLengthBlock([ep(1), ep(2), ep(10)], { now: `${day}T05:00:00Z` });
    expect(out).toContain('✅');
    expect(out).toContain('Ни одной сессии');
  });

  it('flags a session that crossed threshold', () => {
    const eps = Array.from({ length: 55 }, (_, i) => ep(i + 1));
    const out = computeSessionLengthBlock(eps, { now: `${day}T05:00:00Z` });
    expect(out).toContain('⚠️');
    expect(out).toContain('`sess-1');
    expect(out).toContain('55'); // max turn
  });

  it('respects custom threshold', () => {
    const eps = Array.from({ length: 15 }, (_, i) => ep(i + 1));
    const flagged = computeSessionLengthBlock(eps, { now: `${day}T05:00:00Z`, threshold: 10 });
    const notFlagged = computeSessionLengthBlock(eps, { now: `${day}T05:00:00Z`, threshold: 20 });
    expect(flagged).toContain('⚠️');
    expect(notFlagged).toContain('✅');
  });

  it('ignores episodes from other UTC days', () => {
    const eps = Array.from({ length: 55 }, (_, i) => ep(i + 1, { day: '2026-05-25' }));
    const out = computeSessionLengthBlock(eps, { now: `${day}T05:00:00Z` });
    expect(out).toContain('✅'); // yesterday's session not counted
  });

  it('computes regulated % per long session', () => {
    const eps = Array.from({ length: 50 }, (_, i) => ep(i + 1, { regulated: i < 10 }));
    const out = computeSessionLengthBlock(eps, { now: `${day}T05:00:00Z`, threshold: 40 });
    expect(out).toContain('⚠️');
    expect(out).toContain('20%'); // 10 regulated out of 50 = 20%
  });

  it('handles missing session_turn / task_id gracefully', () => {
    const eps = [
      { task_id: 'x', timestamps: { started_at: `${day}T01:00:00Z` } }, // no session_turn
      { timestamps: { started_at: `${day}T01:00:00Z` }, environment: { session_turn: 60 } }, // no task_id
      ep(70, { id: 'real' }),
    ];
    const out = computeSessionLengthBlock(eps, { now: `${day}T05:00:00Z` });
    expect(out).toContain('⚠️');
    expect(out).toContain('`real');
    expect(out).toContain('70');
  });
});