Jesse_Chen
85b14b13ae
When coverage still blocks adopt and no renderable discriminator remains, narrate the numeric range and persist a spoken collect instead of promising a time card that cannot be clicked. Recompute probe information gain on active candidates and drop zero-split probes explicitly. Co-authored-by: Cursor <cursoragent@cursor.com>
484 lines
19 KiB
TypeScript
484 lines
19 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 { decideRectification } 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 { RECTIFICATION_SKILL_VERSION } from "../src/lib/rectification-agentic/v9/case-status.ts";
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import { buildMethodFollowupPlan } from "../src/lib/rectification-agentic/v9/method-followup.ts";
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import {
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parseRectificationCandidateResult,
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workingRectificationHouseTable,
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} from "../src/lib/rectification-candidate-result.ts";
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import { decideFromDossier } from "../src/lib/rectification-agentic/v9/decision-from-dossier.ts";
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import { latestResultToolProjection } from "../src/mastra/rectification-v9-tools.ts";
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import { isRenderableChoiceOpenQuestion } from "../src/lib/rectification-agentic/v9/server-focus.ts";
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const STYLE_OPTIONS = [
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{ label: "明确发生且时间吻合", answer_class: "yes" as const },
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{ label: "发生过但程度较弱", answer_class: "weak_yes" as const },
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{ label: "明确没有发生", answer_class: "no" as const },
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{ label: "这段记不清楚", answer_class: "unsure" as const },
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];
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const TIED = [
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{ time: "04:47", score: 12 },
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{ time: "04:51", score: 12 },
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{ time: "04:53", score: 11 },
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{ time: "04:59", score: 11 },
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{ time: "05:00", score: 11 },
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{ time: "05:07", score: 11 },
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{ time: "05:12", score: 11 },
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{ time: "05:14", score: 8 },
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{ time: "05:15", score: 7 },
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];
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function dated(
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id: string,
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domain: string,
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eventKind: string,
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occurredFrom: string,
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extra: {
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occurredTo?: string | null;
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datePrecision?: "year" | "month" | "day" | "range" | "unknown";
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status?: "confirmed" | "draft";
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} = {},
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) {
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return {
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id,
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status: extra.status ?? ("confirmed" as const),
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domain,
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datePrecision: extra.datePrecision ?? ("month" as const),
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occurredFrom,
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occurredTo: extra.occurredTo ?? null,
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eventKind,
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};
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}
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/** 19-row ledger from the stalled case: 15 scoreable, 4 domains; occupation never recorded. */
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const CASE_EVIDENCE = [
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dated("e-edu-start", "education", "education_start", "2016-09-01"),
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dated("e-edu-complete", "education", "education_completion", "2020-06-01"),
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dated("e-edu-interrupt", "education", "education_interruption", "2021-01-01", {
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occurredTo: "2023-07-01",
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datePrecision: "range",
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}),
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dated("e-edu-change", "education", "education_change", "2023-01-01", { datePrecision: "year" }),
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dated("e-career-entry-2020", "career", "career_entry", "2020-04-01"),
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dated("e-career-exit-2020", "career", "career_exit", "2020-10-01"),
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dated("e-career-entry-2024", "career", "career_entry", "2024-04-07", { datePrecision: "day" }),
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dated("e-career-exit-2026", "career", "career_exit", "2026-08-11", { datePrecision: "day" }),
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dated("e-career-change-2022", "career", "career_change", "2022-12-01"),
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dated("e-career-change-2024", "career", "career_change", "2024-01-01", { datePrecision: "year" }),
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dated("e-career-range", "career", "career_change", "2020-04-01", {
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occurredTo: "2020-10-01",
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datePrecision: "range",
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}),
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dated("e-career-draft-a", "career", "career_change", "", {
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datePrecision: "unknown",
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status: "draft",
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occurredTo: null,
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}),
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dated("e-career-draft-b", "career", "career_entry", "", {
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datePrecision: "unknown",
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status: "draft",
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occurredTo: null,
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}),
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dated("e-rel-2024-05", "relationship", "relationship_change", "2024-05-01"),
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dated("e-rel-start", "relationship", "relationship_start", "2024-06-01"),
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dated("e-rel-end", "relationship", "relationship_end", "2024-08-08", { datePrecision: "day" }),
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dated("e-reloc", "relocation", "home_change", "2022-10-01"),
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dated("e-family", "family", "family_event", "2016-05-01"),
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].map((item) => ({
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...item,
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occurredFrom: item.occurredFrom || null,
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}));
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const OCCUPATION_FOCUS = {
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intent: "collect_method_evidence" as const,
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targetDomain: "occupation",
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targetKind: "occupation_note",
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questionId: "collect:occupation:collect_method_evidence",
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};
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function yearlessProbe(layer: string, gain: number, domain: string) {
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return {
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probeId: `contrast:varga.${layer}.04:47/05:00`,
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candidateSetVersion: "04:47-05:15",
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question: `当前几个候选在 ${layer} 上还分得开。`,
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expectedOutcomes: [
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{ outcomeId: "yes" as const, supportsCandidateIds: ["04:47"], conflictsCandidateIds: ["05:00"] },
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{ outcomeId: "no" as const, supportsCandidateIds: ["05:00"], conflictsCandidateIds: ["04:47"] },
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],
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candidateSplitHash: `varga.${layer}.04:47/05:00`,
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informationGain: gain,
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sourceFeatures: [{ technique: layer.toUpperCase(), calculationResultId: null }],
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domain,
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year: null as number | null,
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semanticKey: `varga.${layer}.04:47/05:00`,
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choiceKind: "existence" as const,
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styleOptions: STYLE_OPTIONS.map((item) => ({
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label: item.label,
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answerClass: item.answer_class,
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})),
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};
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}
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const YEARLESS_PACKET = {
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candidateSetVersion: "04:47-05:15",
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vargaDifferences: [] as const,
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probes: [
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yearlessProbe("d24", 2.5, "education"),
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yearlessProbe("d7", 1.22, "family"),
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yearlessProbe("d4", 0.99, "relocation"),
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yearlessProbe("d5", 0.5, "education"),
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],
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};
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function occupationPlan(
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extra: Partial<Parameters<typeof buildMethodFollowupPlan>[0]> = {},
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) {
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return buildMethodFollowupPlan({
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evidence: CASE_EVIDENCE,
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contrastPacket: YEARLESS_PACKET,
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candidatesSeparated: false,
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...extra,
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});
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}
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function twelveHouses(sign: string, occupant?: string) {
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return Array.from({ length: 12 }, (_, index) => ({
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house: index + 1,
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sign,
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occupants: index === 0 && occupant ? [occupant] : [],
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}));
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}
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const CANDIDATE_IDS = [
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"88888888-8888-4888-8888-888888888881",
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"88888888-8888-4888-8888-888888888882",
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] as const;
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test("skill version stays 10.0.13 for the occupation-coverage exit fix", () => {
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assert.equal(RECTIFICATION_SKILL_VERSION, "10.0.13");
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});
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test("nineteen-row ledger opens the training gate with four scoreable domains", () => {
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const gate = trainingScoreableGate(CASE_EVIDENCE);
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assert.equal(gate.open, true);
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assert.ok(gate.trainingCount >= 3);
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assert.ok(gate.trainingDomainCount >= 2);
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assert.ok(CASE_EVIDENCE.length >= 15);
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});
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test("career answers under an occupation collect focus do not cover occupation before ledger norm", () => {
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const plan = occupationPlan();
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assert.equal(plan.methods.find((item) => item.method_id === "occupation")?.status, "uncovered");
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assert.equal(
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CASE_EVIDENCE.some((item) => item.domain === "occupation" && item.eventKind === "occupation_note"),
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false,
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);
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});
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test("answering occupation collect remaps a career-domain job description onto occupation_note", async () => {
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const { applyOccupationCollectLedgerNorm } = await import(
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"../src/lib/rectification-agentic/v9/evidence-model.ts"
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);
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const remapped = applyOccupationCollectLedgerNorm(OCCUPATION_FOCUS, [{
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domain: "career",
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eventKind: "career_entry" as const,
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datePrecision: "unknown" as const,
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occurredFrom: null,
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occurredTo: null,
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summary: "长期做有机合成",
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quote: "有机合成",
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subject: "self" as const,
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}]);
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assert.equal(remapped[0]?.domain, "occupation");
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assert.equal(remapped[0]?.eventKind, "occupation_note");
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const plan = occupationPlan({
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evidence: [
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...CASE_EVIDENCE,
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{
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status: "confirmed" as const,
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domain: remapped[0]!.domain,
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datePrecision: remapped[0]!.datePrecision,
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occurredFrom: remapped[0]!.occurredFrom,
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occurredTo: remapped[0]!.occurredTo,
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eventKind: remapped[0]!.eventKind,
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summary: remapped[0]!.summary,
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},
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],
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contrastPacket: { candidateSetVersion: "04:47-05:15", vargaDifferences: [], probes: [] },
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});
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assert.equal(plan.methods.find((item) => item.method_id === "occupation")?.status, "covered");
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assert.notEqual(plan.next_followup?.method_id, "occupation");
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assert.notEqual(plan.next_followup?.ask_theme, "occupation");
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});
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test("occupation coverage fallback uses a closed occupation collect focus plus career evidence", () => {
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const uncovered = occupationPlan({
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contrastPacket: { candidateSetVersion: "04:47-05:15", vargaDifferences: [], probes: [] },
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});
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assert.equal(uncovered.methods.find((item) => item.method_id === "occupation")?.status, "uncovered");
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const covered = occupationPlan({
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contrastPacket: { candidateSetVersion: "04:47-05:15", vargaDifferences: [], probes: [] },
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closedCollectFocuses: [{
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questionId: OCCUPATION_FOCUS.questionId,
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targetDomain: "occupation",
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intent: "collect_method_evidence",
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status: "resolved",
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}],
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});
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assert.equal(covered.methods.find((item) => item.method_id === "occupation")?.status, "covered");
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assert.notEqual(covered.next_followup?.method_id, "occupation");
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});
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test("career evidence alone still does not cover occupation", () => {
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const plan = occupationPlan({
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contrastPacket: { candidateSetVersion: "04:47-05:15", vargaDifferences: [], probes: [] },
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});
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assert.equal(plan.methods.find((item) => item.method_id === "occupation")?.status, "uncovered");
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assert.equal(plan.next_followup?.method_id, "occupation");
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});
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test("training gate open does not mint yearless existence or quality varga cards", () => {
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const plan = occupationPlan();
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assert.equal(plan.methods.find((item) => item.method_id === "occupation")?.status, "uncovered");
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assert.doesNotMatch(plan.next_followup?.semantic_key ?? "", /^varga\.d(24|7|4|5)\./);
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assert.equal(plan.dropped_probes.some((item) => item.reason === "yearless_ungrounded_contrast"), true);
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assert.equal(plan.next_followup?.method_id, "occupation");
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assert.equal(plan.next_followup?.intent, "collect_method_evidence");
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assert.equal(plan.next_followup?.choice_frame, null);
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});
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test("training gate open still asks a signed yearless D10 style card", () => {
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const d10 = {
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probeId: "contrast:varga.d10.巨蟹座/狮子座",
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candidateSetVersion: "04:47-05:15",
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question: "平时做事，你更接近下面哪一种？",
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expectedOutcomes: [
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{ outcomeId: "yes" as const, supportsCandidateIds: ["04:47"], conflictsCandidateIds: ["05:00"] },
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{ outcomeId: "weak_yes" as const, supportsCandidateIds: ["05:00"], conflictsCandidateIds: ["04:47"] },
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],
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candidateSplitHash: "varga.d10.巨蟹座/狮子座",
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informationGain: 1.4,
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sourceFeatures: [{ technique: "D10", calculationResultId: null }],
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domain: "career",
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year: null as number | null,
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semanticKey: "varga.d10.巨蟹座/狮子座",
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choiceKind: "varga_style" as const,
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styleOptions: [
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{ label: "做事以照顾人为主，在意团队里的感受", answerClass: "yes" as const, sign: "巨蟹座" },
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{ label: "习惯带头，也不排斥站到台前", answerClass: "weak_yes" as const, sign: "狮子座" },
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],
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};
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const plan = occupationPlan({
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contrastPacket: {
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...YEARLESS_PACKET,
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probes: [...YEARLESS_PACKET.probes, d10],
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},
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});
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assert.equal(plan.next_followup?.intent, "distinguish_candidates");
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assert.ok(plan.next_followup?.choice_frame);
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assert.equal(plan.next_followup?.semantic_key, d10.semanticKey);
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assert.equal(plan.next_followup?.choice_kind, "varga_style");
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});
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test("training gate closed still withholds yearless varga cards", () => {
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const short = [
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dated("e-edu", "education", "education_start", "2016-09-01"),
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dated("e-career", "career", "career_entry", "2020-04-01"),
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];
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assert.equal(trainingScoreableGate(short).open, false);
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const plan = buildMethodFollowupPlan({
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evidence: short,
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contrastPacket: YEARLESS_PACKET,
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candidatesSeparated: false,
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});
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assert.doesNotMatch(plan.next_followup?.semantic_key ?? "", /^varga\.d(24|7|4|5)\./);
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assert.notEqual(plan.next_followup?.intent, "distinguish_candidates");
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});
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test("training complete with no renderable distinguish card allows offering a range without adopt", () => {
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const blocked = decideRectification({
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methodCoverageAll: false,
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trainingGateOpen: true,
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candidateScores: TIED,
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discriminatorProbe: null,
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engineAcceptAllowed: true,
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engineProposeAllowed: true,
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});
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assert.equal(blocked.canOfferRange, true);
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assert.equal(blocked.canAdopt, false);
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assert.equal(blocked.canConfirmExactMinute, false);
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assert.equal(blocked.nextAction, "offer_provisional_range");
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assert.equal(blocked.sessionOutcome, "provisional_range");
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const stillClosed = decideRectification({
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methodCoverageAll: false,
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trainingGateOpen: false,
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candidateScores: TIED,
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discriminatorProbe: null,
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engineAcceptAllowed: true,
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engineProposeAllowed: true,
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});
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assert.equal(stillClosed.canOfferRange, false);
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assert.equal(stillClosed.canAdopt, false);
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assert.equal(stillClosed.nextAction, "ask_fact_collection");
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});
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test("decideFromDossier offers a range when training is complete and the ask layer has no card", () => {
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const decision = decideFromDossier({
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evidence: CASE_EVIDENCE,
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conversationSummary: { activeFocus: null, declinedSkippedTopics: [] },
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latestResult: {
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resultId: "55555555-5555-4555-8555-555555555555",
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selectionAllowed: true,
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confirmationAllowed: false,
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candidates: TIED.map((item, index) => ({
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candidateId: `88888888-8888-4888-8888-88888888888${index}`,
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time: item.time,
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rank: index + 1,
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relativeSupport: item.score,
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})),
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representativeTime: "04:47",
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decisionReceipt: {
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accept_allowed: true,
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propose_allowed: true,
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selection_allowed: true,
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},
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},
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case: { acceptedTime: null },
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});
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assert.equal(decision.canOfferRange, true);
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assert.equal(decision.canAdopt, false);
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assert.equal(decision.canConfirmExactMinute, false);
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});
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test("agent route narrates a numeric range exit and persists a collect when no renderable distinguish card remains", () => {
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const route = readFileSync(new URL("../src/app/api/rectification/agent/route.ts", import.meta.url), "utf8");
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assert.match(route, /nonConvergingRangeNarration/);
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assert.doesNotMatch(route, /可以先按当前区间看盘，也可以再补一件记得时间的经历/);
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const fastPath = route.slice(
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route.indexOf('if (action === "message")'),
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route.indexOf("const requestTime"),
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);
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assert.match(fastPath, /persistNextInterviewIfIdle|isNonConvergingRangeOffer|canOfferRange/);
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assert.doesNotMatch(fastPath, /USER_STOP_PATTERN|parseChoiceKeyFromUserMessage/);
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});
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test("public house_table and natal_recast follow the representative minute", () => {
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const matched = parseRectificationCandidateResult({
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resultId: "11111111-1111-4111-8111-111111111111",
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candidates: [
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{ candidateId: CANDIDATE_IDS[0], rank: 1, time: "04:47", relativeSupport: 12, tiedMinuteCount: 1 },
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{ candidateId: CANDIDATE_IDS[1], rank: 2, time: "05:00", relativeSupport: 11, tiedMinuteCount: 1 },
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],
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overallConfidence: "low",
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selectionAllowed: true,
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confirmationAllowed: false,
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representativeTime: "04:47",
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selectedTime: null,
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decisionReceipt: {
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house_table: { time: "05:00", lagna: "双子座", houses: twelveHouses("双子座", "水星") },
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house_tables_by_time: {
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"04:47": { time: "04:47", lagna: "金牛座", houses: twelveHouses("金牛座", "太阳") },
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"05:00": { time: "05:00", lagna: "双子座", houses: twelveHouses("双子座", "水星") },
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},
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natal_recast: {
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time: "05:00",
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lagna: "双子座",
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user_meaning: "本命宫位已按 05:00 重算（上升 双子座）。下面是本轮实际执行的技法，不能当作唯一分钟确认。",
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unique_minute_claim: false,
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confirmation_allowed: false,
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},
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},
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});
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assert.equal(matched?.representativeTime, "04:47");
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assert.equal(matched?.houseTable?.time, "04:47");
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assert.equal(matched?.houseTable?.lagna, "金牛座");
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assert.equal(matched?.natalRecast?.time, "04:47");
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assert.equal(workingRectificationHouseTable(matched!)?.time, "04:47");
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});
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test("a mismatched receipt house_table is not emitted with another representative minute", () => {
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const mismatched = parseRectificationCandidateResult({
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resultId: "11111111-1111-4111-8111-111111111111",
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|
candidates: [
|
|
{ candidateId: CANDIDATE_IDS[0], rank: 1, time: "04:47", relativeSupport: 12, tiedMinuteCount: 1 },
|
|
{ candidateId: CANDIDATE_IDS[1], rank: 2, time: "05:00", relativeSupport: 11, tiedMinuteCount: 1 },
|
|
],
|
|
overallConfidence: "low",
|
|
selectionAllowed: true,
|
|
confirmationAllowed: false,
|
|
representativeTime: "04:47",
|
|
selectedTime: null,
|
|
decisionReceipt: {
|
|
house_table: { time: "05:00", lagna: "双子座", houses: twelveHouses("双子座", "水星") },
|
|
natal_recast: {
|
|
time: "05:00",
|
|
lagna: "双子座",
|
|
user_meaning: "本命宫位已按 05:00 重算（上升 双子座）。下面是本轮实际执行的技法，不能当作唯一分钟确认。",
|
|
unique_minute_claim: false,
|
|
confirmation_allowed: false,
|
|
},
|
|
},
|
|
});
|
|
assert.equal(mismatched?.representativeTime, "04:47");
|
|
assert.notEqual(mismatched?.houseTable?.time, "05:00");
|
|
assert.equal(mismatched?.houseTable, null);
|
|
assert.notEqual(mismatched?.natalRecast?.time, "05:00");
|
|
});
|
|
|
|
test("tool projection does not pair a 05:00 house table with a 04:47 representative time", () => {
|
|
const decision = decideRectification({
|
|
methodCoverageAll: true,
|
|
trainingGateOpen: true,
|
|
candidateScores: TIED,
|
|
discriminatorProbe: null,
|
|
});
|
|
const projection = latestResultToolProjection({
|
|
resultId: "55555555-5555-4555-8555-555555555555",
|
|
candidates: TIED.map((item, index) => ({
|
|
candidateId: `88888888-8888-4888-8888-88888888888${index}`,
|
|
time: item.time,
|
|
rank: index + 1,
|
|
relativeSupport: item.score,
|
|
tiedMinuteCount: 1,
|
|
})),
|
|
selectionAllowed: true,
|
|
confirmationAllowed: false,
|
|
representativeTime: "04:47",
|
|
selectedTime: null,
|
|
selectionKind: null,
|
|
algorithmVersion: "test",
|
|
decisionReceipt: {
|
|
house_table: { time: "05:00", lagna: "双子座", houses: twelveHouses("双子座", "水星") },
|
|
natal_recast: {
|
|
time: "05:00",
|
|
lagna: "双子座",
|
|
user_meaning: "本命宫位已按 05:00 重算（上升 双子座）。",
|
|
unique_minute_claim: false,
|
|
confirmation_allowed: false,
|
|
},
|
|
},
|
|
}, decision);
|
|
assert.notEqual(projection.house_table && (projection.house_table as { time?: string }).time, "05:00");
|
|
if (projection.representative_time === "04:47" && projection.house_table) {
|
|
assert.equal((projection.house_table as { time?: string }).time, "04:47");
|
|
}
|
|
});
|
|
|
|
test("collect focus is still not a renderable choice card", () => {
|
|
assert.equal(isRenderableChoiceOpenQuestion({
|
|
question_id: OCCUPATION_FOCUS.questionId,
|
|
prompt: "你长期做什么工作？",
|
|
status: "already_open",
|
|
kind: "collect_spoken",
|
|
intent: "collect_method_evidence",
|
|
domain: "occupation",
|
|
focus_id: "11111111-1111-4111-8111-111111111111",
|
|
probe_id: null,
|
|
}), false);
|
|
});
|