jesse-uxandGrok (agent loop)
1f9947a0d7
关掉未登录就会触发约 20 秒计算的入口，并记下 BUG-1342。普通导出的逐字节锁保留。自测 tsc 0 错，lint 0 error / 123 warning，改到的前端测试 fail=0，两份 Python 测试通过，test:db 失败 13 条与 Windows 已知清单一致。 Co-Authored-By: Grok (agent loop)
657 lines
26 KiB
TypeScript
657 lines
26 KiB
TypeScript
import assert from "node:assert/strict";
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import { readFileSync } from "node:fs";
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import test from "node:test";
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import { OPEN_ENGINE_CAPABILITY_CEILING } from "./rectification-v9-test-support.ts";
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import {
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askedEventProbeKeysFromLedgerEvidence,
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buildCandidateContrastPacket,
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mentionedVargaKeysFromLedgerEvidence,
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selectDiscriminatorProbe,
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} from "../src/lib/rectification-agentic/core/candidate-contrast-packet.ts";
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import { evaluateCandidateSeparation } from "../src/lib/rectification-agentic/core/candidate-separation.ts";
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import { decideNextAction } from "../src/lib/rectification-agentic/core/decide-next-action.ts";
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import { decideRectification, publicCanAdopt, publicDecisionFields } from "../src/lib/rectification-agentic/core/rectification-decision.ts";
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import { trainingScoreableGate } from "../src/lib/rectification-agentic/v9/evidence-model.ts";
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import {
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classifySnapshotStaleReason,
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scoreableSnapshotIsCurrent,
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snapshotIsCurrent,
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storedSnapshotIsCurrent,
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type CandidateSnapshotSource,
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} from "../src/lib/rectification-agentic/core/snapshot-source.ts";
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import { evidenceLedgerFingerprint } from "../src/lib/rectification-agentic/v9/tool-service.ts";
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import { buildSkillVerificationReport } from "../src/lib/rectification-agentic/v9/skill-verification-report.ts";
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const TIED = [
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{ id: "c0", time: "05:00", score: 34 },
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{ id: "c1", time: "05:01", score: 33 },
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{ id: "c2", time: "05:02", score: 33 },
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];
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const SEPARATED = [
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{ id: "c0", time: "05:00", score: 62 },
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{ id: "c1", time: "05:01", score: 22 },
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{ id: "c2", time: "05:02", score: 16 },
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];
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const CONTRAST_PROBE = selectDiscriminatorProbe(buildCandidateContrastPacket({
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candidateSetVersion: "05:00-05:02:05:00,05:01,05:02",
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calculationResultId: "11111111-1111-4111-8111-111111111111",
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engineProbes: [{
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semantic_key: "career.2018.dasha_activation",
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candidate_split_hash: "career:2018:05:00|05:01",
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domain: "career",
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year: 2018,
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user_meaning: "2018 年前后是否职责明显加重？",
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information_gain: 0.21,
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expected_outcomes: [
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{ answer_class: "yes", supports: ["05:00"], conflicts: ["05:01", "05:02"] },
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{ answer_class: "no", supports: ["05:01"], conflicts: ["05:00"] },
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],
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}],
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vargaDifferences: [{ layer: "d10", signs: ["巨蟹", "狮子", "处女"] }],
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}));
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function source(overrides: Partial<CandidateSnapshotSource> = {}): CandidateSnapshotSource {
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return {
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birthProfileFingerprint: "birth-a",
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scoreableEvidenceFingerprint: "score-a",
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inferenceRevision: 3,
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candidateSetVersion: "set-a",
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scoringPolicyVersion: "policy-v2",
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...overrides,
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};
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}
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test("does not adopt when method coverage is complete but candidates remain tied", () => {
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const next = decideNextAction({
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methodCoverageAll: true,
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proposeAllowed: true,
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candidateScores: TIED,
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discriminatorProbe: CONTRAST_PROBE,
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});
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assert.equal(next.type, "ask_candidate_discriminator");
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assert.equal(next.separation.status, "not_separated");
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assert.ok((next.probe?.expectedOutcomes.length ?? 0) >= 2);
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});
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test("tied candidates prefer a discriminator probe with at least two predicted outcomes", () => {
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const next = decideNextAction({
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methodCoverageAll: true,
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proposeAllowed: true,
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candidateScores: TIED,
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discriminatorProbe: CONTRAST_PROBE,
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});
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assert.equal(next.type, "ask_candidate_discriminator");
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assert.ok((next.probe?.expectedOutcomes.length ?? 0) >= 2);
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});
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test("holdout that has not passed cannot enter ready_to_adopt", () => {
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const next = decideNextAction({
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methodCoverageAll: true,
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proposeAllowed: true,
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candidateScores: SEPARATED,
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holdoutValidation: "not_started",
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});
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assert.equal(next.type, "ask_holdout_validation");
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assert.notEqual(next.type, "ready_to_adopt");
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});
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test("separated candidates with holdout passed are ready to adopt", () => {
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const next = decideNextAction({
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methodCoverageAll: true,
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proposeAllowed: true,
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candidateScores: SEPARATED,
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holdoutValidation: "passed",
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});
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assert.equal(next.type, "ready_to_adopt");
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});
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test("missing method coverage stays in fact collection even if scores look separated", () => {
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const next = decideNextAction({
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methodCoverageAll: false,
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proposeAllowed: true,
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candidateScores: SEPARATED,
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discriminatorProbe: CONTRAST_PROBE,
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});
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assert.equal(next.type, "ask_fact_collection");
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});
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test("unseparated scores still discriminate when training is open and a probe exists", () => {
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const next = decideNextAction({
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methodCoverageAll: false,
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trainingGateOpen: true,
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proposeAllowed: false,
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candidateScores: TIED,
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discriminatorProbe: CONTRAST_PROBE,
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});
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assert.equal(next.type, "ask_candidate_discriminator");
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assert.equal(decideRectification({
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engineCeiling: OPEN_ENGINE_CAPABILITY_CEILING,
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methodCoverageAll: false,
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trainingGateOpen: true,
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candidateScores: TIED,
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discriminatorProbe: CONTRAST_PROBE,
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}).sessionOutcome, "discriminate_candidates");
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assert.equal(decideRectification({
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engineCeiling: OPEN_ENGINE_CAPABILITY_CEILING,
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methodCoverageAll: false,
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trainingGateOpen: true,
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candidateScores: [],
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discriminatorProbe: CONTRAST_PROBE,
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}).sessionOutcome, "discriminate_candidates");
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});
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test("dated evidence suppresses an ordinary probe for the same domain and year", () => {
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const askedKeys = askedEventProbeKeysFromLedgerEvidence([{
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status: "confirmed",
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domain: "career",
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occurredFrom: "2018-01-01",
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}]);
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const packet = buildCandidateContrastPacket({
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candidateSetVersion: "set-a",
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engineProbes: [{
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semantic_key: "career.2018.dasha_activation",
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candidate_split_hash: "career:2018:split",
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domain: "career",
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year: 2018,
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user_meaning: "2018 年前后是否有职业变化？",
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information_gain: 0.4,
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expected_outcomes: [
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{ answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
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{ answer_class: "no", supports: ["05:07"], conflicts: ["05:00"] },
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],
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}],
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askedKeys,
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});
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assert.equal(selectDiscriminatorProbe(packet), null);
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});
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test("ordinary education evidence does not suppress a structured D24 probe", () => {
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const askedKeys = askedEventProbeKeysFromLedgerEvidence([{
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status: "confirmed",
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domain: "education",
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occurredFrom: "2016-09-01",
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}]);
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const packet = buildCandidateContrastPacket({
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candidateSetVersion: "set-a",
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engineProbes: [{
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semantic_key: "varga.d24",
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candidate_split_hash: "d24:split",
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domain: "education",
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year: 2016,
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choice_kind: "varga_style",
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user_meaning: "这段学习经历更接近哪种过程？",
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information_gain: 0.8,
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expected_outcomes: [
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{ answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
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{ answer_class: "no", supports: ["05:07"], conflicts: ["05:00"] },
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],
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}],
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askedKeys,
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});
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assert.equal(selectDiscriminatorProbe(packet)?.semanticKey, "varga.d24");
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});
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test("whole-window D9/D10 signs do not synthesize a discriminator without remaining-minute splits", () => {
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const packet = buildCandidateContrastPacket({
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candidateSetVersion: "set-a",
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calculationResultId: "22222222-2222-4222-8222-222222222222",
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vargaDifferences: [
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{ layer: "d9", signs: ["天秤", "天蝎", "射手"] },
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{ layer: "d10", signs: ["巨蟹", "狮子", "处女"] },
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],
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});
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assert.equal(selectDiscriminatorProbe(packet), null);
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});
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test("exam quality and occupation notes keep remaining D10 and drop yearless D4/D24 from selection", () => {
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const evidence = [
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{ domain: "education", eventKind: "education_interruption", summary: "高考失利复读", status: "confirmed" },
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{ domain: "occupation", eventKind: "occupation_note", summary: "互联网程序员 / 前端", status: "confirmed" },
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];
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const mentionedKeys = mentionedVargaKeysFromLedgerEvidence(evidence);
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const packet = buildCandidateContrastPacket({
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candidateSetVersion: "05:00-05:04",
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calculationResultId: "22222222-2222-4222-8222-222222222222",
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candidateTimes: ["05:00", "05:03", "05:04"],
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transitions: [
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{ layer: "d4", at: "05:03", from_sign: "金牛座", to_sign: "双子座" },
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{ layer: "d4", at: "05:04", from_sign: "双子座", to_sign: "巨蟹座" },
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{ layer: "d10", at: "05:03", from_sign: "巨蟹座", to_sign: "狮子座" },
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{ layer: "d10", at: "05:04", from_sign: "狮子座", to_sign: "处女座" },
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{ layer: "d24", at: "05:03", from_sign: "白羊座", to_sign: "金牛座" },
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{ layer: "d24", at: "05:04", from_sign: "金牛座", to_sign: "双子座" },
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],
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mentionedKeys,
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});
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assert.ok(packet.probes.some((item) => item.semanticKey.startsWith("varga.d10.")));
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assert.ok(packet.probes.some((item) => item.semanticKey.startsWith("varga.d24.")));
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const probe = selectDiscriminatorProbe(packet, { mentionedKeys });
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assert.ok(probe);
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assert.match(probe.semanticKey, /varga\.d10/);
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assert.equal(probe.domain, "career");
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assert.equal(probe.choiceKind, "varga_style");
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});
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test("encoded D24/D10/D4 remaining splits leave no discriminator", () => {
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const packet = buildCandidateContrastPacket({
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candidateSetVersion: "05:00-05:04",
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candidateTimes: ["05:00", "05:03", "05:04"],
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transitions: [
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{ layer: "d4", at: "05:00" },
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{ layer: "d4", at: "05:03" },
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{ layer: "d10", at: "05:00" },
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{ layer: "d24", at: "05:00" },
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],
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askedKeys: ["varga.d4", "varga.d10", "varga.d24", "varga.d5"],
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});
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assert.equal(selectDiscriminatorProbe(packet), null);
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});
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test("remaining-candidate D24 split is not a selectable discriminator", () => {
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const packet = buildCandidateContrastPacket({
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candidateSetVersion: "05:00-05:07",
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calculationResultId: "22222222-2222-4222-8222-222222222222",
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vargaDifferences: [
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{ layer: "d10", signs: ["巨蟹座", "狮子座", "处女座"] },
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],
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candidateTimes: ["05:00", "05:06", "05:07"],
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transitions: [
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{ layer: "d10", at: "05:00" },
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{ layer: "d10", at: "05:15" },
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{ layer: "d24", at: "05:00" },
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{ layer: "d24", at: "05:06" },
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],
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askedKeys: ["education.2016", "varga.d10"],
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});
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const probe = selectDiscriminatorProbe(packet);
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assert.equal(probe, null);
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});
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test("user stop completes with a credible range instead of trapping on exact-minute", () => {
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const next = decideNextAction({
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methodCoverageAll: true,
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proposeAllowed: true,
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selectionAllowed: true,
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userStopped: true,
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candidateScores: TIED,
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discriminatorProbe: CONTRAST_PROBE,
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});
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assert.equal(next.type, "complete_with_range");
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});
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test("user stop skips remaining collection and holdout when candidates already exist", () => {
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const incomplete = decideNextAction({
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methodCoverageAll: false,
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proposeAllowed: true,
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selectionAllowed: true,
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userStopped: true,
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candidateScores: TIED,
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});
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assert.equal(incomplete.type, "complete_with_range");
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const separated = decideNextAction({
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methodCoverageAll: false,
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proposeAllowed: true,
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selectionAllowed: true,
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userStopped: true,
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candidateScores: [
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{ time: "04:48", score: 58 },
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{ time: "04:49", score: 42 },
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],
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holdoutValidation: "not_started",
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});
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assert.equal(separated.type, "complete_with_range");
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const stopped = decideRectification({
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engineCeiling: OPEN_ENGINE_CAPABILITY_CEILING,
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methodCoverageAll: false,
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userStopped: true,
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candidateScores: [
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{ time: "04:48", score: 58 },
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{ time: "04:49", score: 42 },
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],
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holdoutValidation: "not_started",
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});
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// 原断言 sessionOutcome=provisional_range_user_stopped
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// → 新断言 sessionOutcome=adopt_representative。
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// coverage 不再挡代表性采用；completionStatus 仍标记用户停止。确认门仍关。
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assert.equal(stopped.sessionOutcome, "adopt_representative");
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assert.equal(stopped.canAdopt, true);
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assert.equal(stopped.canConfirmExactMinute, false);
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assert.equal(stopped.completionStatus, "provisional_range_user_stopped");
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assert.equal(stopped.validated, false);
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});
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// 原值: 题名「waits for three training events」/ 新值: 「waits for four dated events across three domains」/ 原因: R1 生时校正交付门槛 4 件 3 域（BUG-1193）
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test("discrimination waits for four dated events across three domains after reserving holdout", () => {
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const two = trainingScoreableGate([
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{ id: "e1", status: "confirmed", domain: "education", datePrecision: "month", occurredFrom: "2016-09-01", occurredTo: null },
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{ id: "e2", status: "confirmed", domain: "career", datePrecision: "year", occurredFrom: "2020-04-01", occurredTo: null },
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]);
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const three = trainingScoreableGate([
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{ id: "e1", status: "confirmed", domain: "education", datePrecision: "month", occurredFrom: "2016-09-01", occurredTo: null },
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{ id: "e2", status: "confirmed", domain: "career", datePrecision: "year", occurredFrom: "2020-04-01", occurredTo: null },
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{ id: "e3", status: "confirmed", domain: "relationship", datePrecision: "year", occurredFrom: "2024-08-01", occurredTo: null },
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]);
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const four = trainingScoreableGate([
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{ id: "e1", status: "confirmed", domain: "education", datePrecision: "month", occurredFrom: "2016-09-01", occurredTo: null },
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{ id: "e2", status: "confirmed", domain: "career", datePrecision: "year", occurredFrom: "2020-04-01", occurredTo: null },
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{ id: "e3", status: "confirmed", domain: "career", datePrecision: "year", occurredFrom: "2020-10-01", occurredTo: null },
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{ id: "e4", status: "confirmed", domain: "relationship", datePrecision: "year", occurredFrom: "2024-08-01", occurredTo: null },
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]);
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assert.equal(two.open, false);
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assert.equal(two.holdoutCount, 0);
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assert.equal(two.trainingCount, 2);
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// 原值: 3 件即预留 holdout，trainingCount=2，门关，等到第 4 件才区分
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// 新值: 恰好 3 件全部进训练，门开，holdout 仅 ≥4 才预留
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// 原因: BUG-647 训练门与 holdout 解耦
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// 原值: three.open=true / 新值: false / 原因: R1 生时校正交付门槛 4 件 3 域（BUG-1193）；3 件仍全部进训练、不留 holdout
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assert.equal(three.open, false);
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assert.equal(three.holdoutCount, 0);
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assert.equal(three.trainingCount, 3);
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// 4 件 3 域：留出 1 件 holdout 后训练 3 件，门槛按训练 + holdout 计，门开
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assert.equal(four.open, true);
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assert.equal(four.trainingCount, 3);
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assert.equal(four.holdoutCount, 1);
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// R1（BUG-1193）：4 件但只有 2 域，门仍关
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const fourTwoDomains = trainingScoreableGate([
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{ id: "e1", status: "confirmed", domain: "career", datePrecision: "month", occurredFrom: "2016-09-01", occurredTo: null },
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{ id: "e2", status: "confirmed", domain: "career", datePrecision: "year", occurredFrom: "2020-04-01", occurredTo: null },
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{ id: "e3", status: "confirmed", domain: "relationship", datePrecision: "year", occurredFrom: "2022-10-01", occurredTo: null },
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{ id: "e4", status: "confirmed", domain: "relationship", datePrecision: "year", occurredFrom: "2024-08-01", occurredTo: null },
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]);
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assert.equal(fourTwoDomains.open, false);
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assert.equal(decideNextAction({
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methodCoverageAll: true,
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trainingGateOpen: two.open,
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proposeAllowed: false,
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candidateScores: TIED,
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discriminatorProbe: CONTRAST_PROBE,
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}).type, "ask_fact_collection");
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// 原值: ask_candidate_discriminator / 新值: ask_fact_collection / 原因: R1 生时校正交付门槛 4 件 3 域（BUG-1193），3 件门未开
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assert.equal(decideNextAction({
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methodCoverageAll: true,
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trainingGateOpen: three.open,
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proposeAllowed: false,
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candidateScores: TIED,
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discriminatorProbe: CONTRAST_PROBE,
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}).type, "ask_fact_collection");
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assert.equal(decideNextAction({
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methodCoverageAll: true,
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trainingGateOpen: four.open,
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proposeAllowed: false,
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candidateScores: TIED,
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discriminatorProbe: CONTRAST_PROBE,
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}).type, "ask_candidate_discriminator");
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});
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test("holdout passed is a validated range, not a user-stop close", () => {
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const validated = decideRectification({
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engineCeiling: OPEN_ENGINE_CAPABILITY_CEILING,
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methodCoverageAll: true,
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candidateScores: [
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||
{ time: "04:48", score: 58 },
|
||
{ time: "04:49", score: 42 },
|
||
],
|
||
holdoutValidation: "passed",
|
||
});
|
||
assert.equal(validated.sessionOutcome, "validated_range");
|
||
assert.equal(validated.completionStatus, "validated_range");
|
||
assert.equal(validated.validated, true);
|
||
assert.equal(validated.canConfirmExactMinute, false);
|
||
});
|
||
|
||
test("tied candidates with no remaining discriminator offer a provisional range", () => {
|
||
const next = decideNextAction({
|
||
methodCoverageAll: true,
|
||
proposeAllowed: true,
|
||
candidateScores: TIED,
|
||
});
|
||
assert.equal(next.type, "offer_provisional_range");
|
||
});
|
||
|
||
test("non-scoreable occupation note does not change the scoreable evidence fingerprint", () => {
|
||
const dated = [{
|
||
id: "aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaa1",
|
||
status: "confirmed" as const,
|
||
eventKind: "business_start",
|
||
domain: "career",
|
||
occurredFrom: "2026-07-19",
|
||
occurredTo: null,
|
||
datePrecision: "day" as const,
|
||
summary: "注册公司",
|
||
}];
|
||
const withNote = [...dated, {
|
||
id: "aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaa2",
|
||
status: "confirmed" as const,
|
||
eventKind: "occupation_note",
|
||
domain: "occupation",
|
||
occurredFrom: null,
|
||
occurredTo: null,
|
||
datePrecision: "unknown" as const,
|
||
summary: "长期一直是程序员",
|
||
}];
|
||
const before = evidenceLedgerFingerprint(dated as never);
|
||
const after = evidenceLedgerFingerprint(withNote as never);
|
||
assert.equal(after, before);
|
||
const snapshot = source({ scoreableEvidenceFingerprint: before });
|
||
const current = source({ scoreableEvidenceFingerprint: after, inferenceRevision: snapshot.inferenceRevision });
|
||
assert.equal(snapshotIsCurrent(snapshot, current), true);
|
||
assert.equal(scoreableSnapshotIsCurrent(snapshot, current), true);
|
||
});
|
||
|
||
test("scoreable occupation evidence requires a new inference revision", () => {
|
||
const before = source();
|
||
const afterScoreable = source({
|
||
scoreableEvidenceFingerprint: "score-b",
|
||
inferenceRevision: before.inferenceRevision + 1,
|
||
});
|
||
assert.equal(classifySnapshotStaleReason(before, afterScoreable), "scoreable_evidence_changed");
|
||
assert.equal(afterScoreable.inferenceRevision, before.inferenceRevision + 1);
|
||
});
|
||
|
||
test("candidate cards must be created from the current inference and scoreable revisions", () => {
|
||
const current = source({ inferenceRevision: 4 });
|
||
const card = source({ inferenceRevision: 3 });
|
||
assert.equal(classifySnapshotStaleReason(card, current), "inference_revision_changed");
|
||
const matching = source({ inferenceRevision: 4 });
|
||
assert.equal(snapshotIsCurrent(matching, current), true);
|
||
});
|
||
|
||
test("stale reasons distinguish birth profile from scoreable evidence", () => {
|
||
const current = source();
|
||
assert.equal(
|
||
classifySnapshotStaleReason(source({ birthProfileFingerprint: "birth-b" }), current),
|
||
"birth_profile_changed",
|
||
);
|
||
assert.equal(
|
||
classifySnapshotStaleReason(source({ scoreableEvidenceFingerprint: "score-b" }), current),
|
||
"scoreable_evidence_changed",
|
||
);
|
||
assert.equal(
|
||
classifySnapshotStaleReason(source({ candidateSetVersion: "set-b" }), current),
|
||
"candidate_set_superseded",
|
||
);
|
||
});
|
||
|
||
test("missing scoreable fingerprint is stale, not current", () => {
|
||
const current = source();
|
||
assert.equal(scoreableSnapshotIsCurrent(source({ scoreableEvidenceFingerprint: "" }), current), false);
|
||
assert.equal(scoreableSnapshotIsCurrent(current, source({ scoreableEvidenceFingerprint: "" })), false);
|
||
assert.equal(
|
||
classifySnapshotStaleReason(source({ scoreableEvidenceFingerprint: "" }), current),
|
||
"fingerprint_missing",
|
||
);
|
||
assert.equal(storedSnapshotIsCurrent(null, current), true);
|
||
assert.equal(storedSnapshotIsCurrent(source({ scoreableEvidenceFingerprint: "" }), current), false);
|
||
assert.equal(storedSnapshotIsCurrent(current, current), true);
|
||
});
|
||
|
||
test("stale snapshot keeps discrimination instead of returning to collection", () => {
|
||
const next = decideNextAction({
|
||
methodCoverageAll: true,
|
||
trainingGateOpen: true,
|
||
snapshotCurrent: false,
|
||
candidateScores: TIED,
|
||
discriminatorProbe: CONTRAST_PROBE,
|
||
});
|
||
assert.equal(next.type, "ask_candidate_discriminator");
|
||
assert.equal(decideRectification({
|
||
engineCeiling: OPEN_ENGINE_CAPABILITY_CEILING,
|
||
methodCoverageAll: true,
|
||
trainingGateOpen: true,
|
||
snapshotCurrent: false,
|
||
candidateScores: TIED,
|
||
discriminatorProbe: CONTRAST_PROBE,
|
||
}).sessionOutcome, "discriminate_candidates");
|
||
assert.equal(decideNextAction({
|
||
methodCoverageAll: false,
|
||
trainingGateOpen: false,
|
||
snapshotCurrent: false,
|
||
candidateScores: TIED,
|
||
}).type, "ask_fact_collection");
|
||
});
|
||
|
||
test("a single candidate is sole_candidate, not a parallel range", () => {
|
||
const separation = evaluateCandidateSeparation([{ time: "05:00", score: 80 }]);
|
||
assert.equal(separation.status, "sole_candidate");
|
||
assert.equal(separation.sufficient, true);
|
||
assert.equal(separation.lead, 0);
|
||
assert.deepEqual(separation.credibleRange, ["05:00"]);
|
||
const decision = decideRectification({
|
||
engineCeiling: OPEN_ENGINE_CAPABILITY_CEILING,
|
||
methodCoverageAll: true,
|
||
trainingGateOpen: true,
|
||
candidateScores: [{ time: "05:00", score: 80 }],
|
||
holdoutValidation: "unavailable",
|
||
});
|
||
// 原断言 sessionOutcome=provisional_range 且 canAdopt=false
|
||
// → 新断言 sessionOutcome=adopt_representative 且 canAdopt=true。
|
||
// holdout unavailable 只挡确认门；单候选仍是代表性采用，不是唯一分钟确认。
|
||
assert.equal(decision.sessionOutcome, "adopt_representative");
|
||
assert.equal(decision.canAdopt, true);
|
||
assert.equal(decision.canConfirmExactMinute, false);
|
||
assert.doesNotMatch(
|
||
buildSkillVerificationReport({
|
||
representativeTime: "05:00",
|
||
widthMinutes: 0,
|
||
candidates: [{ time: "05:00", rank: 1, relativeSupport: 80 }],
|
||
separation,
|
||
}),
|
||
/基本并列/,
|
||
);
|
||
});
|
||
|
||
test("34/33/33 is a tie, not a recommended winner", () => {
|
||
const separation = evaluateCandidateSeparation(TIED);
|
||
assert.equal(separation.status, "not_separated");
|
||
assert.equal(separation.sufficient, false);
|
||
assert.deepEqual(separation.credibleRange, ["05:00", "05:01", "05:02"]);
|
||
assert.equal(separation.representativeTime, "05:00");
|
||
});
|
||
|
||
test("final report does not claim executed techniques without calculationResultId", () => {
|
||
const report = buildSkillVerificationReport({
|
||
representativeTime: "05:00",
|
||
widthMinutes: 3,
|
||
candidates: [
|
||
{ time: "05:00", rank: 1, relativeSupport: 34 },
|
||
{ time: "05:01", rank: 2, relativeSupport: 33 },
|
||
{ time: "05:02", rank: 3, relativeSupport: 33 },
|
||
],
|
||
separation: evaluateCandidateSeparation(TIED),
|
||
techniqueAuditTable: [
|
||
{ technique: "D9", status: "executed", note: "no id" },
|
||
{ technique: "D10", status: "executed", note: "has id", calculation_result_id: "33333333-3333-4333-8333-333333333333" },
|
||
],
|
||
eventFitRate: {
|
||
matched: 8,
|
||
total: 9,
|
||
percent: 89,
|
||
label: "8/9",
|
||
user_meaning: "这段时间窗对已收事件有一定解释力",
|
||
unique_minute_claim: false,
|
||
},
|
||
});
|
||
assert.match(report, /基本并列/);
|
||
assert.match(report, /事件拟合程度，不是候选区分程度/);
|
||
assert.match(report, /\| D9 \| input_covered \|/);
|
||
assert.match(report, /\| D10 \| executed \|/);
|
||
assert.doesNotMatch(report, /当前推荐/);
|
||
});
|
||
|
||
test("MethodFollowup unions include holdout validation kinds used by next_followup", () => {
|
||
const source = readFileSync(new URL("../src/lib/rectification-agentic/v9/method-followup.ts", import.meta.url), "utf8");
|
||
const methodId = source.match(/export type MethodFollowup = Readonly<\{[\s\S]*?method_id: ([^;]+);/)?.[1] ?? "";
|
||
const askTheme = source.match(/export type MethodFollowup = Readonly<\{[\s\S]*?ask_theme: ([^;]+);/)?.[1] ?? "";
|
||
assert.match(methodId, /"holdout_validation"/);
|
||
assert.match(askTheme, /"holdout"/);
|
||
});
|
||
|
||
test("open capability with empty dated probe pool delivers instead of collecting", () => {
|
||
const collecting = decideRectification({
|
||
engineCeiling: OPEN_ENGINE_CAPABILITY_CEILING,
|
||
methodCoverageAll: false,
|
||
datedMethodCollectOpen: true,
|
||
datedEventCount: 4,
|
||
datedDomainCount: 3,
|
||
trainingGateOpen: true,
|
||
snapshotCurrent: true,
|
||
candidateScores: TIED,
|
||
confirmationAllowed: false,
|
||
});
|
||
// 原值: sessionOutcome=collect_evidence，公开 can_adopt=false
|
||
// 新值: 训练门开、无带年月探针 → adopt_representative / 可出区间卡
|
||
// 原因: BUG-651 带年月池空即交付，剩余采集不得挡住结果卡
|
||
assert.equal(collecting.sessionOutcome, "adopt_representative");
|
||
assert.equal(collecting.canOfferRange, true);
|
||
assert.equal(collecting.canAdopt, true);
|
||
assert.equal(publicDecisionFields(collecting).can_adopt, true);
|
||
assert.equal(publicCanAdopt({ canAdopt: true, sessionOutcome: "adopt_representative" }), true);
|
||
assert.equal(publicCanAdopt({ canAdopt: true, sessionOutcome: "provisional_range_user_stopped" }), true);
|
||
});
|
||
|
||
const SEPARATED_COLLECT_OPEN = {
|
||
engineCeiling: OPEN_ENGINE_CAPABILITY_CEILING,
|
||
methodCoverageAll: true,
|
||
datedMethodCollectOpen: true,
|
||
datedEventCount: 5,
|
||
datedDomainCount: 3,
|
||
trainingGateOpen: true,
|
||
snapshotCurrent: true,
|
||
candidateScores: SEPARATED,
|
||
holdoutValidation: "unavailable" as const,
|
||
confirmationAllowed: false,
|
||
};
|
||
|
||
test("separated candidates stay in collect while dated method collect is still open", () => {
|
||
const decision = decideRectification(SEPARATED_COLLECT_OPEN);
|
||
assert.equal(decision.sessionOutcome, "collect_evidence");
|
||
assert.equal(decision.nextAction, "ask_fact_collection");
|
||
assert.equal(publicDecisionFields(decision).can_adopt, false);
|
||
});
|
||
|
||
test("user stop still delivers while dated method collect is open", () => {
|
||
const stopped = decideRectification({
|
||
...SEPARATED_COLLECT_OPEN,
|
||
userStopped: true,
|
||
});
|
||
assert.equal(stopped.sessionOutcome, "adopt_representative");
|
||
assert.equal(stopped.nextAction, "complete_with_range");
|
||
assert.equal(stopped.completionStatus, "provisional_range_user_stopped");
|
||
assert.equal(publicDecisionFields(stopped).can_adopt, true);
|
||
});
|
||
|
||
test("accepted representative adopt ignores open dated collect", () => {
|
||
const accepted = decideRectification({
|
||
...SEPARATED_COLLECT_OPEN,
|
||
accepted: true,
|
||
});
|
||
assert.equal(accepted.sessionOutcome, "adopt_representative");
|
||
assert.equal(accepted.nextAction, "ready_to_adopt");
|
||
});
|
||
|