Jyotisha/frontend/tests/rectification-yearless-probe-downgrade-20260909.test.ts

import assert from "node:assert/strict";
import test from "node:test";

import { applyProbeOutcome } from "../src/lib/rectification-agentic/core/apply-probe-outcome.ts";
import { applyAnswerToState, buildInferenceState } from "../src/lib/rectification-agentic/core/build-state.ts";
import { asInferenceState } from "../src/lib/rectification-agentic/core/compose-receipt.ts";
import {
  PROBE_WEIGHT,
  SCORE_DELTA,
  STRONG_CONFLICT_ELIMINATION_COUNT,
  type ConflictProbe,
} from "../src/lib/rectification-agentic/core/types.ts";
import type { CandidateDiscriminatorProbe } from "../src/lib/rectification-agentic/core/candidate-contrast-packet.ts";
import { buildMethodFollowupPlan } from "../src/lib/rectification-agentic/v9/method-followup.ts";
import { buildSkillVerificationPacket } from "../src/lib/rectification-agentic/v9/skill-verification-report.ts";
import type { DiscriminatingEventProbe } from "../src/lib/rectification-agentic/v9/refinement-packet.ts";
import { RECTIFICATION_SKILL_VERSION } from "../src/lib/rectification-agentic/v9/case-status.ts";

const TIMES = ["05:00", "05:10"] as const;

function dated(
  id: string,
  domain: string,
  eventKind: string,
  occurredFrom: string,
) {
  return {
    id,
    status: "confirmed" as const,
    domain,
    datePrecision: "month" as const,
    occurredFrom,
    occurredTo: null,
    eventKind,
  };
}

const LEDGER = [
  dated("e-edu", "education", "education_start", "2016-09-01"),
  dated("e-rel", "relationship", "relationship_start", "2024-05-01"),
  dated("e-family", "family", "family_event", "2016-05-01"),
  dated("e-reloc", "relocation", "home_change", "2022-10-01"),
];

const D9_STYLE: CandidateDiscriminatorProbe = {
  probeId: "contrast:varga.d9.巨蟹座/狮子座",
  candidateSetVersion: "05:00-05:10",
  question: "亲密关系里更接近下面哪一种相处方式？",
  expectedOutcomes: [
    { outcomeId: "yes", supportsCandidateIds: ["05:00"], conflictsCandidateIds: ["05:10"] },
    { outcomeId: "weak_yes", supportsCandidateIds: ["05:10"], conflictsCandidateIds: ["05:00"] },
  ],
  candidateSplitHash: "varga.d9.巨蟹座/狮子座",
  informationGain: 1.4,
  sourceFeatures: [{ technique: "D9", calculationResultId: null }],
  domain: "relationship",
  year: null,
  semanticKey: "varga.d9.巨蟹座/狮子座",
  choiceKind: "varga_style",
  styleOptions: [
    { label: "相处里更在意照顾对方的感受", answerClass: "yes", sign: "巨蟹座" },
    { label: "习惯带头，也不排斥站到台前", answerClass: "weak_yes", sign: "狮子座" },
  ],
};

const CAREER_2023_05: DiscriminatingEventProbe = {
  year: 2023,
  year_label: "2023 年 5 月前后",
  month: 5,
  domain: "career",
  event_family: "入职或职责变化",
  source: "dasha_boundary",
  tracks: ["vimshottari", "narayana"],
  tracks_agree: true,
  unique_minute_claim: false,
  user_meaning: "2023 年 5 月前后有没有入职或换工作？",
  role: "distinguish",
  phase: "candidate_discriminator",
  information_gain: 0.9,
  semantic_key: "career.2023.05.dasha_boundary",
  candidate_split_hash: "career.2023.05",
  candidate_ids: [...TIMES],
  expected_outcomes: [
    { answer_class: "yes", supports: ["05:00"], conflicts: ["05:10"] },
    { answer_class: "no", supports: ["05:10"], conflicts: ["05:00"] },
    { answer_class: "unsure", supports: [], conflicts: [] },
  ],
  style_options: [
    { label: "明确发生且时间吻合", answer_class: "yes" },
    { label: "发生过但程度较弱", answer_class: "weak_yes" },
    { label: "明确没有发生", answer_class: "no" },
    { label: "这段记不清楚", answer_class: "unsure" },
  ],
  choice_kind: "existence",
};

function personalityPlan(extra: Partial<Parameters<typeof buildMethodFollowupPlan>[0]> = {}) {
  return buildMethodFollowupPlan({
    evidence: LEDGER,
    sessionOutcome: "discriminate_candidates",
    candidatesSeparated: false,
    topCandidateTimes: [...TIMES],
    contrastPacket: {
      candidateSetVersion: "05:00-05:10",
      vargaDifferences: [],
      probes: [D9_STYLE],
    },
    ...extra,
  });
}

function clockProbe(input: {
  id: string;
  semanticKey: string;
  domain: string;
  year: number;
  source: string;
  choiceKind?: ConflictProbe["choice_kind"];
  yesSupports: readonly string[];
  yesConflicts: readonly string[];
}): ConflictProbe {
  return {
    id: input.id,
    semantic_key: input.semanticKey,
    candidate_split_hash: `${input.semanticKey}:${input.yesSupports.join(",")}`,
    domain: input.domain,
    year: input.year,
    question: input.semanticKey,
    candidate_ids: [...input.yesSupports, ...input.yesConflicts],
    expected_outcomes: [
      { answer_class: "yes", supports: input.yesSupports, conflicts: input.yesConflicts },
      { answer_class: "weak_yes", supports: input.yesConflicts, conflicts: input.yesSupports },
      { answer_class: "no", supports: [], conflicts: [] },
      { answer_class: "unsure", supports: [], conflicts: [] },
    ],
    information_gain: 0.4,
    source: input.source,
    ...(input.choiceKind ? { choice_kind: input.choiceKind } : {}),
  };
}

const D9_PROBE = clockProbe({
  id: "probe:varga.d9",
  semanticKey: "varga.d9.巨蟹座/狮子座",
  domain: "relationship",
  year: 0,
  source: "varga_contrast",
  choiceKind: "varga_style",
  yesSupports: ["05:00"],
  yesConflicts: ["05:10"],
});

test("SCORE_DELTA stays ±2/±1 and yearless weight is half", () => {
  assert.deepEqual(SCORE_DELTA, {
    support: 2,
    weak_support: 1,
    neutral: 0,
    weak_conflict: -1,
    conflict: -2,
  });
  assert.equal(PROBE_WEIGHT.dated, 1);
  assert.equal(PROBE_WEIGHT.yearless, 0.5);
  assert.equal(STRONG_CONFLICT_ELIMINATION_COUNT, 3);
  // 原值: "10.0.25"
  // 原值: "10.0.26"
  // 新值: "10.0.27"
  // 原因: 出卡精度门槛 + 引导式补经历
  // 原因: BUG-668 定向补事第四选项写进 Skill
  // 原值: "10.0.28" / 新值: "10.0.29" / 原因: 年月阶段改口述并禁止追问本人
  // 原值: "10.0.29" / 新值: "10.0.30" / 原因: D2 出卡句与 D4 卡上百分比规则写进 Skill（2026-09-26）
  // 原值: "10.0.30" / 新值: "10.0.31" / 原因: 开场改大白话、题干带例子和示例回答写进 Skill OpeningPolicy（BUG-1049，2026-09-26）
  // 原值: "10.0.31" / 新值: "10.0.32" / 原因: 训练门开后只问点选卡、交付正文去吻合率写进 Skill（BUG-1084/1085，2026-09-29）
  assert.equal(RECTIFICATION_SKILL_VERSION, "10.0.32");
});

test("D9 answer B moves scores by ±1 and does not count toward elimination", () => {
  const applied = applyProbeOutcome(
    { "05:00": 20, "05:10": 20 },
    D9_PROBE,
    "weak_yes",
  );
  assert.equal(applied.kind, "tie_break");
  assert.equal(applied.deltas["05:10"], 1);
  assert.equal(applied.deltas["05:00"], -1);
  assert.equal(applied.strong_conflict_counts["05:00"], 0);
  assert.equal(applied.strong_conflict_counts["05:10"], 0);
  assert.deepEqual(applied.eliminated_ids, []);
});

test("three yearless conflicts never eliminate; three dated conflicts still do", () => {
  const yearless = [1, 2, 3].map((index) => clockProbe({
    id: `probe:varga.d9.${index}`,
    semanticKey: `varga.d9.style.${index}`,
    domain: "relationship",
    year: 0,
    source: "varga_contrast",
    choiceKind: "varga_style",
    yesSupports: ["05:00"],
    yesConflicts: ["05:10"],
  }));
  let scores: Record<string, number> = { "05:00": 20, "05:10": 20 };
  let counts: Record<string, number> = { "05:00": 0, "05:10": 0 };
  let eliminated = new Set<string>();
  for (const probe of yearless) {
    const applied = applyProbeOutcome(scores, probe, "yes", {
      eliminatedIds: eliminated,
      strongConflictCounts: counts,
    });
    scores = { ...applied.scores };
    counts = { ...applied.strong_conflict_counts };
    eliminated = new Set(applied.eliminated_ids);
  }
  assert.equal(counts["05:10"], 0);
  assert.equal(eliminated.has("05:10"), false);

  const dated = [1, 2, 3].map((index) => clockProbe({
    id: `probe:career.${2019 + index}`,
    semanticKey: `career.${2019 + index}.dasha_boundary`,
    domain: "career",
    year: 2019 + index,
    source: "dasha_boundary",
    yesSupports: ["05:00"],
    yesConflicts: ["05:10"],
  }));
  for (const probe of dated) {
    const applied = applyProbeOutcome(scores, probe, "yes", {
      eliminatedIds: eliminated,
      strongConflictCounts: counts,
    });
    scores = { ...applied.scores };
    counts = { ...applied.strong_conflict_counts };
    eliminated = new Set(applied.eliminated_ids);
    assert.equal(applied.kind, "informative");
    assert.equal(applied.deltas["05:00"], 2);
    assert.equal(applied.deltas["05:10"], -2);
  }
  assert.ok(counts["05:10"] >= STRONG_CONFLICT_ELIMINATION_COUNT);
  assert.equal(eliminated.has("05:10"), true);
});

test("nakshatra_boundary is yearless: ±1 and no conflict count", () => {
  const probe = clockProbe({
    id: "probe:nakshatra",
    semanticKey: "nakshatra.boundary.a/b",
    domain: "other",
    year: 0,
    source: "nakshatra_boundary",
    choiceKind: "varga_style",
    yesSupports: ["05:00"],
    yesConflicts: ["05:10"],
  });
  const applied = applyProbeOutcome({ "05:00": 20, "05:10": 20 }, probe, "yes");
  assert.equal(applied.kind, "tie_break");
  assert.equal(applied.deltas["05:00"], 1);
  assert.equal(applied.deltas["05:10"], -1);
  assert.equal(applied.strong_conflict_counts["05:10"], 0);
});

test("an askable 2023.05 career probe keeps D9 deferred", () => {
  const plan = personalityPlan({ eventProbes: [CAREER_2023_05] });
  assert.equal(plan.next_followup?.semantic_key, CAREER_2023_05.semantic_key);
  assert.notEqual(plan.next_followup?.choice_kind, "varga_style");
  assert.equal(
    plan.dropped_probes.some((item) => (
      item.semantic_key === D9_STYLE.semanticKey && item.reason === "yearless_deferred"
    )),
    true,
    JSON.stringify(plan.dropped_probes),
  );
});

test("dated distinguish empty and two unseparated candidates defers D9", () => {
  const plan = personalityPlan({ eventProbes: [] });
  // 原值: next_followup 是 D9 varga_style，dropped 不含 yearless_deferred
  // 新值: D9 记 yearless_deferred，next 不再是性格卡
  // 原因: BUG-651 带年月池空即交付，性格题不得挡在结果前面
  assert.notEqual(plan.next_followup?.semantic_key, D9_STYLE.semanticKey);
  assert.notEqual(plan.next_followup?.choice_kind, "varga_style");
  assert.equal(
    plan.dropped_probes.some((item) => (
      item.semantic_key === D9_STYLE.semanticKey && item.reason === "yearless_deferred"
    )),
    true,
    JSON.stringify(plan.dropped_probes),
  );
});

test("a sole remaining candidate defers D9 as yearless_deferred", () => {
  const plan = personalityPlan({
    eventProbes: [],
    topCandidateTimes: ["05:00"],
  });
  assert.notEqual(plan.next_followup?.semantic_key, D9_STYLE.semanticKey);
  assert.equal(
    plan.dropped_probes.some((item) => (
      item.semantic_key === D9_STYLE.semanticKey && item.reason === "yearless_deferred"
    )),
    true,
    JSON.stringify(plan.dropped_probes),
  );
});

test("already-separated candidates do not ask D9", () => {
  const plan = personalityPlan({
    eventProbes: [],
    candidatesSeparated: true,
  });
  assert.notEqual(plan.next_followup?.semantic_key, D9_STYLE.semanticKey);
  assert.notEqual(plan.next_followup?.choice_kind, "varga_style");
});

test("asInferenceState round-trips a varga_style tie_break round", () => {
  const before = buildInferenceState({
    range_start: "05:00",
    range_end: "05:10",
    candidates: [
      { id: "05:00", time: "05:00", relative_support: 20 },
      { id: "05:10", time: "05:10", relative_support: 18 },
    ],
    events: [{ id: "e-rel", domain: "relationship", year: 2024, precision: "year" }],
    probes: [D9_PROBE],
  });
  const after = applyAnswerToState(before, D9_PROBE.id, "weak_yes");
  assert.equal(after.rounds.at(-1)?.kind, "tie_break");
  const loaded = asInferenceState(JSON.parse(JSON.stringify(after)));
  assert.ok(loaded);
  assert.equal(loaded.rounds.at(-1)?.kind, "tie_break");
  assert.equal(loaded.answered_probes.length, 1);
});

test("verification report marks D9/D10 and nakshatra as reference", () => {
  const packet = buildSkillVerificationPacket({
    representativeTime: "05:00",
    widthMinutes: 10,
    candidates: [
      { time: "05:00", rank: 1, relativeSupport: 20 },
      { time: "05:10", rank: 2, relativeSupport: 18 },
    ],
  });
  assert.match(packet.markdown, /\| D9 \/ D10 类型对照 \| reference \| 性格自评，只作排序参考，不参与淘汰 \|/);
  assert.match(packet.markdown, /\| 月宿边界 \| reference \| 性格自评，只作排序参考，不参与淘汰 \|/);
});