Jyotisha/frontend/tests/rectification-delivery-report-facts.test.ts

import assert from "node:assert/strict";
import { readFileSync } from "node:fs";
import { fileURLToPath } from "node:url";
import test from "node:test";

import { candidateSetId } from "../src/lib/rectification-agentic/core/build-state.ts";
import { decideRectification } from "../src/lib/rectification-agentic/core/rectification-decision.ts";
import { INFERENCE_ALGORITHM_VERSION } from "../src/lib/rectification-agentic/core/types.ts";
import { signFromTransitions } from "../src/lib/rectification-agentic/v9/divergence-panel.ts";
import { RECTIFICATION_SKILL_VERSION } from "../src/lib/rectification-agentic/v9/case-status.ts";
import { dashaAgreementAmongActive } from "../src/lib/rectification-agentic/v9/refinement-packet.ts";
import { latestResultToolProjection } from "../src/mastra/rectification-v9-tools.ts";
import {
  OPEN_ENGINE_CAPABILITY_CEILING,
  CANDIDATE_ID,
  RESULT_ID,
  SECOND_CANDIDATE_ID,
} from "./rectification-v9-test-support.ts";

const ELIMINATED_059_ID = "88888888-8888-4888-8888-888888888884";
const ELIMINATED_506_ID = "88888888-8888-4888-8888-888888888885";
const SKILL_SIGN_SENTENCE = "分盘上升只抄 `skill_verification_report.sign_by_candidate`，不得自行按换升时刻推算";

const ENGINE_CANDIDATES = [
  { candidateId: CANDIDATE_ID, time: "04:51", rank: 1, relativeSupport: 38, tiedMinuteCount: 29 },
  { candidateId: SECOND_CANDIDATE_ID, time: "04:53", rank: 2, relativeSupport: 36, tiedMinuteCount: 29 },
  { candidateId: ELIMINATED_059_ID, time: "04:59", rank: 3, relativeSupport: 14, tiedMinuteCount: 29 },
  { candidateId: ELIMINATED_506_ID, time: "05:06", rank: 4, relativeSupport: 12, tiedMinuteCount: 29 },
] as const;

function accidentInferenceState() {
  const times = ENGINE_CANDIDATES.map((item) => item.time);
  return {
    algorithm_version: INFERENCE_ALGORITHM_VERSION,
    candidate_set_id: candidateSetId("04:45", "05:13", times),
    revision: 1,
    phase: "discrimination" as const,
    result_status: "credible_range" as const,
    range_start: "04:45",
    range_end: "05:13",
    candidates: [
      {
        id: CANDIDATE_ID,
        time: "04:51",
        cluster_range: ["04:51", "04:53"] as const,
        prior_score: 38,
        posterior_score: 48,
        probability: 0.4,
        status: "active" as const,
        rank: 2,
        strong_conflict_count: 0,
      },
      {
        id: SECOND_CANDIDATE_ID,
        time: "04:53",
        cluster_range: ["04:51", "04:53"] as const,
        prior_score: 36,
        posterior_score: 52,
        probability: 0.52,
        status: "active" as const,
        rank: 1,
        strong_conflict_count: 0,
      },
      {
        id: ELIMINATED_059_ID,
        time: "04:59",
        cluster_range: ["04:59", "04:59"] as const,
        prior_score: 14,
        posterior_score: 8,
        probability: 0.04,
        status: "eliminated" as const,
        rank: 3,
        strong_conflict_count: 3,
      },
      {
        id: ELIMINATED_506_ID,
        time: "05:06",
        cluster_range: ["05:06", "05:06"] as const,
        prior_score: 12,
        posterior_score: 6,
        probability: 0.04,
        status: "eliminated" as const,
        rank: 4,
        strong_conflict_count: 3,
      },
    ],
    events: [],
    probes: [],
    answered_probes: [],
    rounds: [],
    entropy: 1.1,
    representative_time: "04:53",
    credible_range: ["04:51", "04:53"] as const,
  };
}

function twelveHouses(sign: string) {
  return Array.from({ length: 12 }, (_, index) => ({
    house: index + 1,
    sign,
    occupants: [] as string[],
  }));
}

function accidentProjection() {
  return latestResultToolProjection({
    resultId: RESULT_ID,
    candidates: ENGINE_CANDIDATES,
    selectionAllowed: true,
    confirmationAllowed: false,
    representativeTime: "05:06",
    selectedTime: null,
    selectionKind: null,
    algorithmVersion: "rectification-v5",
    decisionReceipt: {
      acceptance_allowed: true,
      selection_allowed: true,
      propose_allowed: true,
      confirmation_allowed: false,
      house_table: { time: "05:06", lagna: "狮子座", houses: twelveHouses("狮子座") },
      house_tables_by_time: {
        "04:53": { time: "04:53", lagna: "巨蟹座", houses: twelveHouses("巨蟹座") },
        "05:06": { time: "05:06", lagna: "狮子座", houses: twelveHouses("狮子座") },
      },
      natal_recast: {
        time: "05:06",
        lagna: "狮子座",
        user_meaning: "本命宫位已按 05:06 重算（上升 狮子座）。",
        unique_minute_claim: false,
        confirmation_allowed: false,
      },
      inference_state: accidentInferenceState(),
      dasha_agreement: {
        status: "conflict",
        vimshottari_top: "05:06",
        narayana_top: "04:59",
        user_meaning: "主限更偏向 05:06，分盘大运更偏向 04:59。冲突时不能按更高把握收口。",
      },
      window_scan: {
        scanned: true,
        d9_lagna_count: 1,
        d10_lagna_count: 2,
        d9_candidates_differ: false,
        d10_candidates_differ: true,
        d9_sign_names: ["天秤座"],
        d10_sign_names: ["巨蟹座", "狮子座"],
        transitions: [
          {
            layer: "d10",
            at: "05:00",
            from_sign: "巨蟹座",
            to_sign: "狮子座",
            user_meaning: "D10 在 05:00 发生变化",
          },
        ],
      },
    },
  }, decideRectification({
    engineCeiling: OPEN_ENGINE_CAPABILITY_CEILING,
    methodCoverageAll: true,
    trainingGateOpen: true,
    candidateScores: ENGINE_CANDIDATES.map((item) => ({ time: item.time, score: item.relativeSupport })),
  }));
}

function reportPacket(value: unknown): {
  width_minutes: number | null;
  dasha_agreement: { status: string; vimshottari_top: string | null; narayana_top: string | null; user_meaning: string } | null;
  sign_by_candidate: Record<string, { d9: string | null; d10: string | null }>;
  markdown: string;
} {
  assert.ok(value && typeof value === "object" && !Array.isArray(value));
  const row = value as Record<string, unknown>;
  assert.equal(typeof row.markdown, "string");
  assert.ok(row.sign_by_candidate && typeof row.sign_by_candidate === "object");
  return row as ReturnType<typeof reportPacket>;
}

test("D10 still Cancer at 04:53 when the scan only flips to Leo at 05:00", () => {
  const transitions = [
    { layer: "d10" as const, at: "05:00", from_sign: "巨蟹座", to_sign: "狮子座", user_meaning: "D10 在 05:00 发生变化" },
  ];
  assert.equal(signFromTransitions(transitions, "d10", "04:51"), "巨蟹座");
  assert.equal(signFromTransitions(transitions, "d10", "04:53"), "巨蟹座");
  assert.equal(signFromTransitions(transitions, "d10", "05:00"), "狮子座");
});

test("delivery report uses the inference window and active dasha tops, not the pre-inference engine span", () => {
  const projection = accidentProjection();
  const report = reportPacket(projection.skill_verification_report);
  assert.equal(report.width_minutes, 3);
  assert.equal(projection.engine_indistinguishable_width_minutes, 29);
  assert.equal(projection.indistinguishable_width_minutes, undefined);
  const dasha = report.dasha_agreement;
  assert.ok(dasha);
  const tops = [dasha.vimshottari_top, dasha.narayana_top].filter(Boolean);
  for (const time of tops) {
    assert.ok(time === "04:51" || time === "04:53", time ?? "");
  }
  assert.notEqual(dasha.status, "conflict");
  assert.doesNotMatch(report.markdown, /29 分钟/);
  assert.doesNotMatch(report.markdown, /05:06/);
  assert.doesNotMatch(report.markdown, /04:59/);
  assert.match(report.markdown, /3 分钟/);
  assert.match(report.markdown, /不是已确认的唯一出生分钟/);
  const pre = projection.dasha_agreement_pre_inference as { vimshottari_top?: string; narayana_top?: string } | null;
  assert.equal(pre?.vimshottari_top, "05:06");
  assert.equal(pre?.narayana_top, "04:59");
  const live = projection.dasha_agreement as { vimshottari_top?: string | null; narayana_top?: string | null };
  assert.notEqual(live.vimshottari_top, "05:06");
  assert.notEqual(live.narayana_top, "04:59");
});

test("delivery report gives 04:53 D10 as Cancer instead of letting the model infer Leo", () => {
  const projection = accidentProjection();
  const report = reportPacket(projection.skill_verification_report);
  assert.equal(report.sign_by_candidate["04:53"]?.d10, "巨蟹座");
  assert.equal(report.sign_by_candidate["04:51"]?.d10, "巨蟹座");
  assert.doesNotMatch(report.markdown, /04:53[^\n]*狮子座/);
  assert.match(report.markdown, /04:53 \| .*巨蟹座/);
});

test("same active cluster dasha tops agree even when the peak is not a representative", () => {
  const engine = {
    status: "conflict" as const,
    vimshottari_top: "04:54",
    narayana_top: "04:53",
    user_meaning: "主限更偏向 04:54，分盘大运更偏向 04:53。冲突时不能按更高把握收口。",
  };
  const clusters = [{ time: "04:53", cluster_range: ["04:50", "04:55"] as const }];
  const clustered = dashaAgreementAmongActive(engine, ["04:53"], clusters);
  assert.equal(clustered?.status, "agree");
  const minuteOnly = dashaAgreementAmongActive(engine, ["04:53"]);
  assert.equal(minuteOnly?.status, "partial");
});

test("public house table follows the inference representative minute", () => {
  const projection = accidentProjection();
  assert.equal(projection.representative_time, "04:53");
  assert.equal((projection.house_table as { time?: string } | undefined)?.time, "04:53");
  const recast = projection.natal_recast as { time?: string; user_meaning?: string } | undefined;
  assert.equal(recast?.time, "04:53");
  assert.match(String(recast?.user_meaning), /04:53/);
  assert.equal(projection.representative_time_pre_inference, "05:06");
  assert.equal((projection.house_table_pre_inference as { time?: string } | undefined)?.time, "05:06");
  const source = readFileSync(fileURLToPath(new URL("../src/mastra/rectification-v9-tools.ts", import.meta.url)), "utf8");
  assert.match(source, /representative_time_pre_inference: _preTime/);
  assert.match(source, /house_table_pre_inference: _preHouse/);
  assert.match(source, /natal_recast_pre_inference: _preNatal/);
});

test("skill 10.0.26 forbids computing varga signs from transition times", () => {
  const skillDir = fileURLToPath(new URL("../../skills/jyotish-birth-time-rectification", import.meta.url));
  const skill = readFileSync(`${skillDir}/SKILL.md`, "utf8");
  const comparison = readFileSync(`${skillDir}/references/candidate-comparison.md`, "utf8");
  // 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）
  // 原值: "10.0.32" / 新值: "10.0.33" / 原因: 新案绑定持久盘型交付 Skill，历史精确身份不升级（BUG-1115～1117）
  assert.equal(RECTIFICATION_SKILL_VERSION, "10.0.33");
  // 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: /^version: 10\.0\.28$/ / 新值: /^version: 10\.0\.29$/ / 原因: 年月阶段改口述并禁止追问本人
  // 原值: /^version: 10\.0\.29$/ / 新值: /^version: 10\.0\.30$/ / 原因: D2 出卡句与 D4 卡上百分比规则写进 Skill（2026-09-26）
  // 原值: /^version: 10\.0\.30$/ / 新值: /^version: 10\.0\.31$/ / 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: /^version: 10\.0\.31$/ / 新值: /^version: 10\.0\.32$/ / 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）
  // 原值: /^version: 10\.0\.32$/ / 新值: /^version: 10\.0\.33$/ / 原因: live Skill新增条件盘型口径，原历史分钟合同保留（BUG-1115～1117）
  assert.match(skill, /^version: 10\.0\.33$/m);
  assert.match(skill, new RegExp(SKILL_SIGN_SENTENCE.replace(/[.*+?^${}()|[\]\\]/g, "\\$&")));
  assert.match(comparison, new RegExp(SKILL_SIGN_SENTENCE.replace(/[.*+?^${}()|[\]\\]/g, "\\$&")));
});