Jesse_Chen
998406cee6
Family "没有" was treated as adopt-ready once the training gate was open. Remaining dated domains still distinguish leftover minutes, so persist those questions instead of writing the adopt narration. Co-authored-by: Cursor <cursoragent@cursor.com>
1438 lines
53 KiB
TypeScript
1438 lines
53 KiB
TypeScript
import assert from "node:assert/strict";
|
||
import { readFileSync } from "node:fs";
|
||
import test from "node:test";
|
||
|
||
import { applyAnswerToState, buildInferenceState, candidateSetId } from "../src/lib/rectification-agentic/core/build-state.ts";
|
||
import {
|
||
publicCanAdopt,
|
||
publicNextAction,
|
||
} from "../src/lib/rectification-agentic/core/rectification-decision.ts";
|
||
import type { ConflictProbe, InferenceState } from "../src/lib/rectification-agentic/core/types.ts";
|
||
import {
|
||
decideFromDossier,
|
||
rectificationFollowupCatalog,
|
||
type DecisionDossier,
|
||
} from "../src/lib/rectification-agentic/v9/decision-from-dossier.ts";
|
||
import { buildMethodFollowupPlan, spokenFollowupForUser } from "../src/lib/rectification-agentic/v9/method-followup.ts";
|
||
import { focusStatusForAnswer } from "../src/lib/rectification-agentic/v9/choice-action.ts";
|
||
import { persistServerOwnedFocus } from "../src/lib/rectification-agentic/v9/server-focus.ts";
|
||
import { projectCurrentQuestion } from "../src/lib/rectification-agentic/v9/turn-decision.ts";
|
||
import {
|
||
shouldContinueAgentForDatedEvent,
|
||
shouldDeclineCollectFocus,
|
||
} from "../src/lib/rectification-agentic/v9/turn-intent-classifier.ts";
|
||
import {
|
||
applyCollectFocusDenial,
|
||
persistCollectDenialTurn,
|
||
persistNextInterviewAfterChoice,
|
||
persistNextInterviewIfIdle,
|
||
} from "../src/lib/rectification-agentic/v9/answer-choice.ts";
|
||
import { composeCollectSpokenAssistantText } from "../src/lib/rectification-agentic/v9/collect-prompt.ts";
|
||
import { evidenceLedgerFingerprint } from "../src/lib/rectification-agentic/v9/tool-service.ts";
|
||
import { RECTIFICATION_SKILL_VERSION } from "../src/lib/rectification-agentic/v9/case-status.ts";
|
||
import {
|
||
RECTIFICATION_USER_COPY,
|
||
USER_COLLECT_QUESTION,
|
||
} from "../src/lib/rectification-agentic/user-copy.ts";
|
||
import {
|
||
ATTEMPT_ID,
|
||
CASE_ID,
|
||
FOCUS_ID,
|
||
TURN_ID,
|
||
USER_ID,
|
||
candidateSnapshotFixture,
|
||
computeFixture,
|
||
dossierFixture,
|
||
fakeAccounting,
|
||
receiptHandlers,
|
||
} from "./rectification-v9-test-support.ts";
|
||
|
||
const EXISTENCE_OPTIONS = [
|
||
{ label: "明确发生且时间吻合", answer_class: "yes" as const },
|
||
{ label: "发生过但程度较弱", answer_class: "weak_yes" as const },
|
||
{ label: "明确没有发生", answer_class: "no" as const },
|
||
{ label: "这段记不清楚", answer_class: "unsure" as const },
|
||
];
|
||
|
||
const CANDIDATES = [
|
||
{ id: "04:47", time: "04:47", relative_support: 8 },
|
||
{ id: "04:51", time: "04:51", relative_support: 9 },
|
||
{ id: "04:53", time: "04:53", relative_support: 9 },
|
||
{ id: "04:59", time: "04:59", relative_support: 10 },
|
||
{ id: "05:00", time: "05:00", relative_support: 18 },
|
||
{ id: "05:07", time: "05:07", relative_support: 16 },
|
||
{ id: "05:12", time: "05:12", relative_support: 11 },
|
||
{ id: "05:14", time: "05:14", relative_support: 7 },
|
||
{ id: "05:15", time: "05:15", relative_support: 6 },
|
||
] as const;
|
||
|
||
const EVIDENCE = [
|
||
{
|
||
id: "e-career-entry",
|
||
status: "confirmed",
|
||
domain: "career",
|
||
datePrecision: "month",
|
||
occurredFrom: "2020-04-01",
|
||
occurredTo: null,
|
||
eventKind: "career_entry",
|
||
},
|
||
{
|
||
id: "e-career-exit",
|
||
status: "confirmed",
|
||
domain: "career",
|
||
datePrecision: "month",
|
||
occurredFrom: "2020-10-01",
|
||
occurredTo: null,
|
||
eventKind: "career_exit",
|
||
},
|
||
{
|
||
id: "e-rel-end",
|
||
status: "confirmed",
|
||
domain: "relationship",
|
||
datePrecision: "day",
|
||
occurredFrom: "2024-08-08",
|
||
occurredTo: null,
|
||
eventKind: "relationship_end",
|
||
},
|
||
{
|
||
id: "e-rel-start",
|
||
status: "confirmed",
|
||
domain: "relationship",
|
||
datePrecision: "month",
|
||
occurredFrom: "2024-05-01",
|
||
occurredTo: null,
|
||
eventKind: "relationship_start",
|
||
},
|
||
] as const;
|
||
|
||
const LIVE_CASE_EVIDENCE = [
|
||
...EVIDENCE,
|
||
{
|
||
id: "e-education",
|
||
status: "confirmed",
|
||
domain: "education",
|
||
datePrecision: "year",
|
||
occurredFrom: "2016-01-01",
|
||
occurredTo: null,
|
||
eventKind: "education_start",
|
||
},
|
||
] as const;
|
||
|
||
const FAMILY_2021_COLLECT = {
|
||
year: 2021,
|
||
year_label: "2021 年前后",
|
||
domain: "family" as const,
|
||
event_family: "家人结婚、添丁或住院",
|
||
source: "age_band" as const,
|
||
tracks: ["vimshottari", "narayana"] as const,
|
||
tracks_agree: false,
|
||
unique_minute_claim: false as const,
|
||
user_meaning: "时间范围锁定 2021 年前后；领域锁定 family。",
|
||
role: "collect" as const,
|
||
phase: "evidence_collection" as const,
|
||
information_gain: 0,
|
||
semantic_key: "family.2021",
|
||
candidate_split_hash: "family:2021",
|
||
candidate_ids: [] as const,
|
||
expected_outcomes: [] as const,
|
||
choice_kind: "existence" as const,
|
||
};
|
||
|
||
function vargaExistence(input: {
|
||
layer: string;
|
||
gain: number;
|
||
domain: string;
|
||
question: string;
|
||
supports: readonly string[];
|
||
conflicts: readonly string[];
|
||
}): ConflictProbe {
|
||
const key = `varga.${input.layer}.${input.supports.join("/")}`;
|
||
return {
|
||
id: `contrast:${key}`,
|
||
semantic_key: key,
|
||
candidate_split_hash: key,
|
||
domain: input.domain,
|
||
year: 0,
|
||
question: input.question,
|
||
candidate_ids: [...new Set([...input.supports, ...input.conflicts])],
|
||
expected_outcomes: [
|
||
{ answer_class: "yes", supports: input.conflicts, conflicts: input.supports },
|
||
{ answer_class: "weak_yes", supports: input.conflicts, conflicts: [] },
|
||
{ answer_class: "no", supports: input.supports, conflicts: input.conflicts },
|
||
{ answer_class: "unsure", supports: [], conflicts: [] },
|
||
],
|
||
information_gain: input.gain,
|
||
source: "varga_contrast",
|
||
choice_kind: "existence",
|
||
style_options: EXISTENCE_OPTIONS,
|
||
};
|
||
}
|
||
|
||
const D9: ConflictProbe = {
|
||
id: "contrast:varga.d9.巨蟹座/狮子座",
|
||
semantic_key: "varga.d9.巨蟹座/狮子座",
|
||
candidate_split_hash: "varga.d9.巨蟹座/狮子座",
|
||
domain: "relationship",
|
||
year: 0,
|
||
question: "亲密关系里更接近下面哪一种相处方式？",
|
||
candidate_ids: ["05:00", "05:07"],
|
||
expected_outcomes: [
|
||
{ answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
|
||
{ answer_class: "weak_yes", supports: ["05:07"], conflicts: ["05:00"] },
|
||
{ answer_class: "no", supports: [], conflicts: [] },
|
||
{ answer_class: "unsure", supports: [], conflicts: [] },
|
||
],
|
||
information_gain: 1.1,
|
||
source: "varga_contrast",
|
||
choice_kind: "varga_style",
|
||
};
|
||
|
||
const D10: ConflictProbe = {
|
||
id: "contrast:varga.d10.天秤座/天蝎座",
|
||
semantic_key: "varga.d10.天秤座/天蝎座",
|
||
candidate_split_hash: "varga.d10.天秤座/天蝎座",
|
||
domain: "career",
|
||
year: 0,
|
||
question: "平时做事更接近下面哪一种职责风格？",
|
||
candidate_ids: ["05:00", "05:07"],
|
||
expected_outcomes: [
|
||
{ answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
|
||
{ answer_class: "weak_yes", supports: ["05:07"], conflicts: ["05:00"] },
|
||
{ answer_class: "no", supports: [], conflicts: [] },
|
||
{ answer_class: "unsure", supports: [], conflicts: [] },
|
||
],
|
||
information_gain: 1.05,
|
||
source: "varga_contrast",
|
||
choice_kind: "varga_style",
|
||
};
|
||
|
||
const CAREER_2023: ConflictProbe = {
|
||
id: "probe:career.2023.dasha_boundary",
|
||
semantic_key: "career.2023.dasha_boundary",
|
||
candidate_split_hash: "career.2023",
|
||
domain: "career",
|
||
year: 2023,
|
||
question: "2023 年前后有没有入职或换工作？",
|
||
candidate_ids: ["05:00", "05:07"],
|
||
expected_outcomes: [
|
||
{ answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
|
||
{ answer_class: "no", supports: ["05:07"], conflicts: ["05:00"] },
|
||
{ answer_class: "unsure", supports: [], conflicts: [] },
|
||
],
|
||
information_gain: 0.72,
|
||
source: "dasha_boundary",
|
||
choice_kind: "existence",
|
||
style_options: EXISTENCE_OPTIONS,
|
||
};
|
||
|
||
const CAREER_2023_ACTIVATION: ConflictProbe = {
|
||
id: "probe:career.2023.dasha_activation",
|
||
semantic_key: "career.2023.dasha_activation",
|
||
candidate_split_hash: "career.2023.activation",
|
||
domain: "career",
|
||
year: 2023,
|
||
question: "2023 年前后大运有没有启动？",
|
||
candidate_ids: CANDIDATES.map((candidate) => candidate.time),
|
||
expected_outcomes: [
|
||
{
|
||
answer_class: "yes",
|
||
supports: ["05:15"],
|
||
conflicts: ["04:47", "04:51", "04:53", "04:59", "05:00", "05:07", "05:12", "05:14"],
|
||
},
|
||
{ answer_class: "weak_yes", supports: [], conflicts: [] },
|
||
{
|
||
answer_class: "no",
|
||
supports: ["04:47", "04:51", "04:53", "04:59", "05:00", "05:07", "05:12", "05:14"],
|
||
conflicts: ["05:15"],
|
||
},
|
||
{ answer_class: "unsure", supports: [], conflicts: [] },
|
||
],
|
||
information_gain: 0.56,
|
||
source: "dasha_activation",
|
||
choice_kind: "existence",
|
||
style_options: EXISTENCE_OPTIONS,
|
||
};
|
||
|
||
const RELOCATION_2015: ConflictProbe = {
|
||
id: "probe:relocation.2015.dasha_boundary",
|
||
semantic_key: "relocation.2015.dasha_boundary",
|
||
candidate_split_hash: "relocation.2015",
|
||
domain: "relocation",
|
||
year: 2015,
|
||
question: "2015 年前后有没有搬家或长期住到外地？",
|
||
candidate_ids: ["05:00", "05:07"],
|
||
expected_outcomes: [
|
||
{ answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
|
||
{ answer_class: "no", supports: ["05:07"], conflicts: ["05:00"] },
|
||
{ answer_class: "unsure", supports: [], conflicts: [] },
|
||
],
|
||
information_gain: 0.61,
|
||
source: "dasha_boundary",
|
||
choice_kind: "existence",
|
||
style_options: EXISTENCE_OPTIONS,
|
||
};
|
||
|
||
const D12 = vargaExistence({
|
||
layer: "d12",
|
||
gain: 1.89,
|
||
domain: "family",
|
||
question: "家里有没有结婚、添丁或住院这类事？",
|
||
supports: ["05:00", "05:07", "05:12"],
|
||
conflicts: ["04:47", "04:51", "04:53", "04:59"],
|
||
});
|
||
|
||
const D24 = vargaExistence({
|
||
layer: "d24",
|
||
gain: 2.5,
|
||
domain: "education",
|
||
question: "有没有学业或考试发挥明显失常、压力特别大的时候？",
|
||
supports: ["05:00"],
|
||
conflicts: ["05:07"],
|
||
});
|
||
|
||
const D7 = vargaExistence({
|
||
layer: "d7",
|
||
gain: 1.35,
|
||
domain: "family",
|
||
question: "有没有子女或子嗣相关的家里变化？",
|
||
supports: ["05:00", "05:07"],
|
||
conflicts: ["04:47"],
|
||
});
|
||
|
||
const D4 = vargaExistence({
|
||
layer: "d4",
|
||
gain: 0.99,
|
||
domain: "relocation",
|
||
question: "有没有搬家或长期住到外地？",
|
||
supports: ["05:00"],
|
||
conflicts: ["05:07"],
|
||
});
|
||
|
||
const D5 = vargaExistence({
|
||
layer: "d5",
|
||
gain: 0.5,
|
||
domain: "education",
|
||
question: "有没有记得住年份的升学或考试？",
|
||
supports: ["05:00"],
|
||
conflicts: ["05:07"],
|
||
});
|
||
|
||
const DATED_RELOCATION_2016: ConflictProbe = {
|
||
id: "probe:relocation.2016.dasha_boundary",
|
||
semantic_key: "relocation.2016.dasha_boundary",
|
||
candidate_split_hash: "relocation.2016",
|
||
domain: "relocation",
|
||
year: 2016,
|
||
question: "2016 年前后有没有搬家或长期住到外地？",
|
||
candidate_ids: [
|
||
"04:47", "04:51", "04:53", "04:59", "05:00", "05:07", "05:12", "05:14", "05:15",
|
||
],
|
||
expected_outcomes: [
|
||
{ answer_class: "yes", supports: ["04:47", "04:51", "04:53", "04:59"], conflicts: ["05:00", "05:07", "05:12", "05:14", "05:15"] },
|
||
{ answer_class: "no", supports: ["05:00", "05:07", "05:12", "05:14", "05:15"], conflicts: ["04:47", "04:51", "04:53", "04:59"] },
|
||
{ answer_class: "unsure", supports: [], conflicts: [] },
|
||
],
|
||
information_gain: 0.8,
|
||
source: "dasha_boundary",
|
||
choice_kind: "existence",
|
||
style_options: EXISTENCE_OPTIONS,
|
||
};
|
||
|
||
function revision5State(extraProbes: readonly ConflictProbe[] = []) {
|
||
const probes = [
|
||
D9,
|
||
D10,
|
||
CAREER_2023,
|
||
RELOCATION_2015,
|
||
D24,
|
||
D12,
|
||
D7,
|
||
D4,
|
||
D5,
|
||
...extraProbes,
|
||
];
|
||
let state = buildInferenceState({
|
||
range_start: "04:47",
|
||
range_end: "05:15",
|
||
candidates: CANDIDATES,
|
||
events: [
|
||
{ id: "e-career-entry", domain: "career", year: 2020, precision: "month" },
|
||
{ id: "e-career-exit", domain: "career", year: 2020, precision: "month" },
|
||
{ id: "e-rel-end", domain: "relationship", year: 2024, precision: "day" },
|
||
{ id: "e-rel-start", domain: "relationship", year: 2024, precision: "month" },
|
||
],
|
||
probes,
|
||
});
|
||
const answers: ReadonlyArray<{ id: string; answer: "yes" | "weak_yes" | "no" }> = [
|
||
{ id: D9.id, answer: "weak_yes" },
|
||
{ id: D10.id, answer: "weak_yes" },
|
||
{ id: CAREER_2023.id, answer: "no" },
|
||
{ id: RELOCATION_2015.id, answer: "no" },
|
||
];
|
||
for (const item of answers) {
|
||
state = applyAnswerToState(state, item.id, item.answer);
|
||
}
|
||
return state;
|
||
}
|
||
|
||
function revision5Dossier(
|
||
state = revision5State(),
|
||
extra?: { declinedTopics?: ReadonlyArray<Record<string, unknown>>; activeFocus?: DecisionDossier["conversationSummary"]["activeFocus"] },
|
||
): DecisionDossier {
|
||
return {
|
||
evidence: EVIDENCE,
|
||
conversationSummary: {
|
||
activeFocus: extra?.activeFocus ?? null,
|
||
declinedSkippedTopics: extra?.declinedTopics ?? [],
|
||
},
|
||
latestResult: {
|
||
resultId: "55555555-5555-4555-8555-555555555555",
|
||
candidates: state.candidates.map((item) => ({
|
||
candidateId: item.id,
|
||
time: item.time,
|
||
rank: item.rank,
|
||
relativeSupport: Math.round(item.posterior_score),
|
||
})),
|
||
representativeTime: state.representative_time,
|
||
evidenceLedgerFingerprint: evidenceLedgerFingerprint(EVIDENCE as never),
|
||
decisionReceipt: {
|
||
inference_state: state,
|
||
evidence_collection_probes: [FAMILY_2021_COLLECT],
|
||
},
|
||
},
|
||
case: { acceptedTime: null },
|
||
};
|
||
}
|
||
|
||
function planFrom(
|
||
dossier: DecisionDossier,
|
||
extra: Partial<Parameters<typeof buildMethodFollowupPlan>[0]> = {},
|
||
) {
|
||
const catalog = rectificationFollowupCatalog(dossier.latestResult, dossier.evidence);
|
||
return buildMethodFollowupPlan({
|
||
evidence: dossier.evidence,
|
||
declinedTopics: dossier.conversationSummary.declinedSkippedTopics,
|
||
closedCollectFocuses: dossier.conversationSummary.declinedSkippedTopics,
|
||
sessionOutcome: "discriminate_candidates",
|
||
...catalog,
|
||
candidatesSeparated: false,
|
||
...extra,
|
||
});
|
||
}
|
||
|
||
function rpcDossier(decision: DecisionDossier, activeFocus?: Record<string, unknown> | null) {
|
||
return dossierFixture({
|
||
evidence: decision.evidence.map((item) => ({
|
||
id: item.id,
|
||
source_turn_id: TURN_ID,
|
||
subject: "self",
|
||
event_kind: item.eventKind ?? "event",
|
||
domain: item.domain,
|
||
occurred_from: item.occurredFrom,
|
||
occurred_to: item.occurredTo,
|
||
date_precision: item.datePrecision,
|
||
summary: item.summary ?? `${item.occurredFrom} ${item.eventKind ?? "event"}`,
|
||
status: item.status,
|
||
supersedes_evidence_id: null,
|
||
created_at: "2026-08-29T00:00:00.000Z",
|
||
})),
|
||
latestResult: candidateSnapshotFixture({
|
||
candidates: decision.latestResult?.candidates?.map((item, index) => ({
|
||
candidate_id: `00000000-0000-4000-8000-${String(index + 1).padStart(12, "0")}`,
|
||
time: item.time,
|
||
rank: item.rank ?? index + 1,
|
||
relative_support: Math.max(0, Math.min(100, item.relativeSupport ?? 0)),
|
||
tied_minute_count: item.tiedMinuteCount ?? 1,
|
||
})),
|
||
representativeTime: decision.latestResult?.representativeTime ?? null,
|
||
evidenceLedgerFingerprint: decision.latestResult?.evidenceLedgerFingerprint,
|
||
decisionReceipt: { ...(decision.latestResult?.decisionReceipt ?? {}) },
|
||
}),
|
||
conversationSummary: {
|
||
confirmed_evidence_summary: [],
|
||
pending_revisions: [],
|
||
active_focus: activeFocus ?? null,
|
||
declined_skipped_topics: decision.conversationSummary.declinedSkippedTopics,
|
||
candidate_divergence_summary: null,
|
||
missing_evidence_categories: [],
|
||
last_result_policy: null,
|
||
summary_version: 1,
|
||
updated_at: "2026-08-29T00:00:00.000Z",
|
||
},
|
||
});
|
||
}
|
||
|
||
test("skill version stays 10.0.14 for this collect-stall fix", () => {
|
||
assert.equal(RECTIFICATION_SKILL_VERSION, "10.0.14");
|
||
});
|
||
|
||
test("revision 5 with uncovered relatives asks the dated family collect, not a yearless D12 card", () => {
|
||
const state = revision5State();
|
||
assert.equal(state.revision, 5);
|
||
assert.equal(state.answered_probes.length, 4);
|
||
assert.equal(state.events.find((item) => item.id === "e-rel-start")?.usage, "holdout");
|
||
const unanswered = state.probes.filter((probe) => (
|
||
!state.answered_probes.some((item) => item.probe_id === probe.id)
|
||
));
|
||
assert.equal(unanswered.some((item) => item.semantic_key.startsWith("varga.d12")), true);
|
||
assert.equal(unanswered.find((item) => item.semantic_key.startsWith("varga.d12"))?.information_gain, 1.89);
|
||
|
||
const plan = planFrom(revision5Dossier(state));
|
||
assert.equal(plan.methods.find((item) => item.method_id === "relatives")?.status, "uncovered");
|
||
assert.equal(plan.next_followup?.intent, "collect_method_evidence");
|
||
assert.equal(plan.next_followup?.domain, "family");
|
||
assert.equal(plan.next_followup?.choice_frame, null);
|
||
assert.equal(plan.next_followup?.probe_year, 2021);
|
||
// 旧：year_label 含 2021 → 新：采集口语不带年份前缀，year_label 不进 followup
|
||
// 原因：决策 7；probe_year 仍锁定 dated 家庭采集，不出无年份 D12 卡
|
||
assert.equal(plan.next_followup?.year_label, undefined);
|
||
assert.equal(spokenFollowupForUser(plan.next_followup), USER_COLLECT_QUESTION.family);
|
||
assert.equal(plan.dropped_probes.some((item) => (
|
||
item.semantic_key.startsWith("varga.d12") && item.reason === "yearless_ungrounded_contrast"
|
||
)), true);
|
||
});
|
||
|
||
test("denying the dated family collect declines relatives and leaves the D12 card unasked", () => {
|
||
const plan = planFrom(revision5Dossier());
|
||
assert.equal(plan.next_followup?.domain, "family");
|
||
assert.equal(plan.next_followup?.choice_frame, null);
|
||
assert.equal(focusStatusForAnswer("no", "C"), "declined");
|
||
|
||
const next = planFrom(revision5Dossier(revision5State(), {
|
||
declinedTopics: [{ target_domain: "family", status: "declined" }],
|
||
}));
|
||
assert.equal(next.methods.find((item) => item.method_id === "relatives")?.status, "covered");
|
||
assert.notEqual(next.next_followup?.domain, "family");
|
||
if (next.next_followup?.choice_frame) {
|
||
assert.equal(next.next_followup.intent, "distinguish_candidates");
|
||
assert.doesNotMatch(next.next_followup.semantic_key ?? "", /^varga\.d(12|24|7|4|5)\./);
|
||
} else {
|
||
// 旧：训练门已开时跳过 dated 补采集，落到 occupation。
|
||
// 新：家人拒答后仍收学业等带年份经历，用来继续区分剩余分钟。
|
||
assert.equal(next.next_followup?.domain, "education");
|
||
assert.equal(next.next_followup?.intent, "collect_method_evidence");
|
||
}
|
||
});
|
||
|
||
test("persistServerOwnedFocus writes family as target_domain so a no answer becomes declined coverage", async () => {
|
||
const plan = planFrom(revision5Dossier());
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
set_agentic_rectification_conversation_focus: (_fn, args) => ({
|
||
focus: {
|
||
id: FOCUS_ID,
|
||
case_id: CASE_ID,
|
||
question_id: args.p_question_id,
|
||
intent: args.p_intent,
|
||
target_evidence_id: args.p_target_evidence_id,
|
||
target_domain: args.p_target_domain,
|
||
target_kind: args.p_target_kind,
|
||
expected_answer_schema: args.p_expected_answer_schema,
|
||
status: "active",
|
||
asked_at: "2026-08-29T00:00:00.000Z",
|
||
resolved_at: null,
|
||
},
|
||
idempotent: false,
|
||
}),
|
||
});
|
||
const persisted = await persistServerOwnedFocus({
|
||
accounting: accounting.client,
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
activeFocus: null,
|
||
decisionReceipt: revision5Dossier().latestResult?.decisionReceipt,
|
||
followup: plan.next_followup,
|
||
});
|
||
assert.equal(persisted.status, "created");
|
||
const call = accounting.calls.find((item) => item.fn === "set_agentic_rectification_conversation_focus");
|
||
assert.equal(call?.args.p_target_domain, "family");
|
||
assert.equal(call?.args.p_intent, "collect_method_evidence");
|
||
});
|
||
|
||
test("occupation collect denial declines the focus and advances coverage to horary", async () => {
|
||
assert.equal(shouldDeclineCollectFocus({
|
||
intent: "answer_current_focus",
|
||
answer_class: "no",
|
||
}), true);
|
||
assert.equal(shouldDeclineCollectFocus({
|
||
intent: "provide_new_evidence",
|
||
answer_class: null,
|
||
}), false);
|
||
assert.equal(shouldDeclineCollectFocus({
|
||
intent: "answer_current_focus",
|
||
answer_class: "unsure",
|
||
}), false);
|
||
|
||
const askedYearless = [D24, D12, D7, D4, D5].map((item) => item.semantic_key);
|
||
const occupationPlan = planFrom(revision5Dossier(revision5State(), {
|
||
declinedTopics: [{ target_domain: "family", status: "declined" }],
|
||
}), { askedProbeKeys: askedYearless });
|
||
// 旧：训练门已开 → occupation。新：家人拒答后仍收学业。
|
||
assert.equal(occupationPlan.next_followup?.domain, "education");
|
||
assert.equal(occupationPlan.next_followup?.intent, "collect_method_evidence");
|
||
assert.equal(occupationPlan.next_followup?.choice_frame, null);
|
||
|
||
const occupationFocus = {
|
||
id: FOCUS_ID,
|
||
case_id: CASE_ID,
|
||
question_id: "occupation:occupation",
|
||
intent: "collect_method_evidence",
|
||
target_evidence_id: null,
|
||
target_domain: "occupation",
|
||
target_kind: null,
|
||
expected_answer_schema: {
|
||
prompt: "你平时主要做什么工作？",
|
||
collect: true,
|
||
},
|
||
status: "active",
|
||
asked_at: "2026-08-29T00:00:00.000Z",
|
||
resolved_at: null,
|
||
};
|
||
let loads = 0;
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => {
|
||
loads += 1;
|
||
if (loads === 1) {
|
||
return rpcDossier(revision5Dossier(revision5State(), {
|
||
declinedTopics: [{ target_domain: "family", status: "declined" }],
|
||
}), occupationFocus);
|
||
}
|
||
return rpcDossier(revision5Dossier(revision5State(), {
|
||
declinedTopics: [
|
||
{ target_domain: "family", status: "declined" },
|
||
{ target_domain: "occupation", status: "declined" },
|
||
],
|
||
}));
|
||
},
|
||
get_agentic_rectification_case_compute: () => computeFixture(),
|
||
resolve_agentic_rectification_conversation_focus: (_fn, args) => ({
|
||
focus_id: args.p_focus_id,
|
||
status: args.p_status,
|
||
evidence_id: null,
|
||
idempotent: false,
|
||
}),
|
||
set_agentic_rectification_conversation_focus: (_fn, args) => ({
|
||
focus: {
|
||
id: "acacacac-acac-4cac-8cac-acacacacacac",
|
||
case_id: CASE_ID,
|
||
question_id: args.p_question_id,
|
||
intent: args.p_intent,
|
||
target_evidence_id: args.p_target_evidence_id,
|
||
target_domain: args.p_target_domain,
|
||
target_kind: args.p_target_kind,
|
||
expected_answer_schema: args.p_expected_answer_schema,
|
||
status: "active",
|
||
asked_at: "2026-08-29T00:00:00.000Z",
|
||
resolved_at: null,
|
||
},
|
||
idempotent: false,
|
||
}),
|
||
});
|
||
|
||
const applied = await applyCollectFocusDenial(accounting.client, {
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
focusId: FOCUS_ID,
|
||
});
|
||
const resolve = accounting.calls.find((item) => item.fn === "resolve_agentic_rectification_conversation_focus");
|
||
assert.equal(resolve?.args.p_status, "declined");
|
||
assert.notEqual(resolve?.args.p_status, "resolved");
|
||
const setFocus = accounting.calls.find((item) => item.fn === "set_agentic_rectification_conversation_focus");
|
||
// 原值: p_target_domain === "horary"（DB check 不含 horary，写库必然失败）。
|
||
// 新值: 不把 horary 落成口述采集焦点。
|
||
// 原因: appearance / marks / horary / nakshatra 不得成为 collect 焦点。
|
||
assert.notEqual(setFocus?.args.p_target_domain, "horary");
|
||
assert.ok(applied.narration);
|
||
|
||
const nextCollect = planFrom(revision5Dossier(revision5State(), {
|
||
declinedTopics: [
|
||
{ target_domain: "family", status: "declined" },
|
||
{ target_domain: "occupation", status: "declined" },
|
||
],
|
||
}), { askedProbeKeys: askedYearless });
|
||
assert.equal(nextCollect.next_followup?.domain, "education");
|
||
});
|
||
|
||
test("collect denial persists the next stem on the turn and binds asked_turn_id", async () => {
|
||
const familyFocus = {
|
||
id: FOCUS_ID,
|
||
case_id: CASE_ID,
|
||
question_id: "collect:family:collect_method_evidence",
|
||
intent: "collect_method_evidence",
|
||
target_evidence_id: null,
|
||
target_domain: "family",
|
||
target_kind: null,
|
||
expected_answer_schema: {
|
||
prompt: "2021 年前后，家里如果有结婚、添丁或住院这类事，记得大概哪年就行。",
|
||
collect: true,
|
||
},
|
||
status: "active",
|
||
asked_at: "2026-08-29T00:00:00.000Z",
|
||
resolved_at: null,
|
||
};
|
||
let loads = 0;
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => {
|
||
loads += 1;
|
||
if (loads === 1) {
|
||
return rpcDossier(revision5Dossier(revision5State()), familyFocus);
|
||
}
|
||
return rpcDossier(revision5Dossier(revision5State(), {
|
||
declinedTopics: [{ target_domain: "family", status: "declined" }],
|
||
}));
|
||
},
|
||
get_agentic_rectification_case_compute: () => computeFixture(),
|
||
resolve_agentic_rectification_conversation_focus: (_fn, args) => ({
|
||
focus_id: args.p_focus_id,
|
||
status: args.p_status,
|
||
evidence_id: null,
|
||
idempotent: false,
|
||
}),
|
||
set_agentic_rectification_conversation_focus: (_fn, args) => ({
|
||
focus: {
|
||
id: "acacacac-acac-4cac-8cac-acacacacacac",
|
||
case_id: CASE_ID,
|
||
question_id: args.p_question_id,
|
||
intent: args.p_intent,
|
||
target_evidence_id: args.p_target_evidence_id,
|
||
target_domain: args.p_target_domain,
|
||
target_kind: args.p_target_kind,
|
||
expected_answer_schema: args.p_expected_answer_schema,
|
||
status: "active",
|
||
asked_at: "2026-08-29T00:00:00.000Z",
|
||
resolved_at: null,
|
||
asked_turn_id: args.p_asked_turn_id ?? null,
|
||
},
|
||
idempotent: false,
|
||
}),
|
||
append_agentic_rectification_turn: () => ({
|
||
turn_id: TURN_ID,
|
||
idempotent: false,
|
||
}),
|
||
});
|
||
|
||
const applied = await applyCollectFocusDenial(accounting.client, {
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
focusId: FOCUS_ID,
|
||
});
|
||
assert.equal(applied.nextInterviewPersisted, true);
|
||
assert.ok(applied.focus);
|
||
assert.equal(applied.narration, USER_COLLECT_QUESTION.education);
|
||
|
||
const finished = await persistCollectDenialTurn({
|
||
accounting: accounting.client,
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
requestId: ATTEMPT_ID,
|
||
userMessage: "没有",
|
||
applied,
|
||
});
|
||
assert.equal(finished.turnId, TURN_ID);
|
||
assert.equal(finished.streamText, RECTIFICATION_USER_COPY.collectDeclinedAck);
|
||
const stored = composeCollectSpokenAssistantText(
|
||
RECTIFICATION_USER_COPY.collectDeclinedAck,
|
||
USER_COLLECT_QUESTION.education,
|
||
);
|
||
const append = accounting.calls.find((item) => item.fn === "append_agentic_rectification_turn");
|
||
assert.equal(append?.args.p_assistant_message, stored);
|
||
assert.ok(accounting.calls.some((item) => (
|
||
item.fn === "set_agentic_rectification_conversation_focus"
|
||
&& item.args.p_asked_turn_id === TURN_ID
|
||
)));
|
||
});
|
||
|
||
test("message and opening turns persist the next followup so current_question is not null", async () => {
|
||
const route = readFileSync(new URL("../src/app/api/rectification/agent/route.ts", import.meta.url), "utf8");
|
||
const afterRun = route.slice(route.indexOf("const result = await runV9AgentTurn"));
|
||
assert.doesNotMatch(afterRun, /if \(action === "message" \|\| action === "opening"\)/);
|
||
assert.match(afterRun, /persistNextInterviewIfIdle/);
|
||
assert.match(afterRun, /ensureNonTerminalTurnExit/);
|
||
assert.ok(afterRun.indexOf("result.ok") < afterRun.indexOf("persistNextInterviewIfIdle"));
|
||
|
||
const occupationPlan = planFrom(revision5Dossier(revision5State(), {
|
||
declinedTopics: [{ target_domain: "family", status: "declined" }],
|
||
}));
|
||
assert.ok(occupationPlan.next_followup);
|
||
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => rpcDossier(revision5Dossier(revision5State(), {
|
||
declinedTopics: [{ target_domain: "family", status: "declined" }],
|
||
})),
|
||
get_agentic_rectification_case_compute: () => computeFixture(),
|
||
set_agentic_rectification_conversation_focus: (_fn, args) => ({
|
||
focus: {
|
||
id: FOCUS_ID,
|
||
case_id: CASE_ID,
|
||
question_id: args.p_question_id,
|
||
intent: args.p_intent,
|
||
target_evidence_id: args.p_target_evidence_id,
|
||
target_domain: args.p_target_domain,
|
||
target_kind: args.p_target_kind,
|
||
expected_answer_schema: args.p_expected_answer_schema,
|
||
status: "active",
|
||
asked_at: "2026-08-29T00:00:00.000Z",
|
||
resolved_at: null,
|
||
},
|
||
idempotent: false,
|
||
}),
|
||
});
|
||
const persisted = await persistNextInterviewIfIdle({
|
||
accounting: accounting.client,
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
});
|
||
assert.equal(persisted.persisted, true);
|
||
assert.ok(persisted.hostNarration || persisted.choiceReady);
|
||
const setFocus = accounting.calls.find((item) => item.fn === "set_agentic_rectification_conversation_focus");
|
||
assert.ok(setFocus);
|
||
const question = projectCurrentQuestion({
|
||
id: FOCUS_ID,
|
||
questionId: String(setFocus?.args.p_question_id ?? ""),
|
||
intent: String(setFocus?.args.p_intent ?? ""),
|
||
targetDomain: typeof setFocus?.args.p_target_domain === "string" ? setFocus.args.p_target_domain : null,
|
||
expectedAnswerSchema: setFocus?.args.p_expected_answer_schema as Record<string, unknown>,
|
||
});
|
||
assert.notEqual(question, null);
|
||
assert.ok(question?.kind === "collect_spoken" || question?.kind === "choice");
|
||
});
|
||
|
||
function occupationCollectFocus(id = FOCUS_ID) {
|
||
return {
|
||
id,
|
||
case_id: CASE_ID,
|
||
question_id: "collect:occupation:collect_method_evidence",
|
||
intent: "collect_method_evidence",
|
||
target_evidence_id: null,
|
||
target_domain: "occupation",
|
||
target_kind: null,
|
||
expected_answer_schema: {
|
||
collect: true,
|
||
prompt: "你平时主要做什么工作？",
|
||
},
|
||
status: "active",
|
||
asked_at: "2026-08-30T00:00:00.000Z",
|
||
resolved_at: null,
|
||
};
|
||
}
|
||
|
||
function createdFocusFromArgs(args: Record<string, unknown>, id = FOCUS_ID) {
|
||
return {
|
||
id,
|
||
case_id: CASE_ID,
|
||
question_id: args.p_question_id,
|
||
intent: args.p_intent,
|
||
target_evidence_id: args.p_target_evidence_id,
|
||
target_domain: args.p_target_domain,
|
||
target_kind: args.p_target_kind,
|
||
expected_answer_schema: args.p_expected_answer_schema,
|
||
status: "active",
|
||
asked_at: "2026-08-30T00:00:00.000Z",
|
||
resolved_at: null,
|
||
};
|
||
}
|
||
|
||
function occupationDossier() {
|
||
return revision5Dossier(revision5State(), {
|
||
declinedTopics: [{ target_domain: "family", status: "declined" }],
|
||
});
|
||
}
|
||
|
||
const NAKSHATRA: ConflictProbe = {
|
||
id: "probe:nakshatra.ashlesha",
|
||
semantic_key: "nakshatra.ashlesha/magha",
|
||
candidate_split_hash: "nakshatra.ashlesha",
|
||
domain: "appearance",
|
||
year: 0,
|
||
question: "外表或体质更接近哪一种？",
|
||
candidate_ids: ["05:00", "05:07", "04:53"],
|
||
expected_outcomes: [
|
||
{ answer_class: "yes", supports: ["05:00", "05:07", "04:53"], conflicts: [] },
|
||
{ answer_class: "weak_yes", supports: ["05:00", "05:07"], conflicts: [] },
|
||
{ answer_class: "no", supports: [], conflicts: [] },
|
||
{ answer_class: "unsure", supports: [], conflicts: [] },
|
||
],
|
||
information_gain: 0.4,
|
||
source: "nakshatra_boundary",
|
||
choice_kind: "varga_style",
|
||
};
|
||
|
||
function liveWindowScan() {
|
||
return {
|
||
scanned: true,
|
||
confirmation_allowed: false,
|
||
unique_minute_claim: false,
|
||
d9_lagna_count: 2,
|
||
d10_lagna_count: 2,
|
||
d4_lagna_count: 2,
|
||
d5_lagna_count: 2,
|
||
d7_lagna_count: 2,
|
||
d12_lagna_count: 2,
|
||
d24_lagna_count: 2,
|
||
d9_candidates_differ: true,
|
||
d10_candidates_differ: true,
|
||
d4_candidates_differ: true,
|
||
d5_candidates_differ: true,
|
||
d7_candidates_differ: true,
|
||
d12_candidates_differ: true,
|
||
d24_candidates_differ: true,
|
||
};
|
||
}
|
||
|
||
function liveCaseState(): InferenceState {
|
||
const times = CANDIDATES.map((candidate) => candidate.time);
|
||
const answered = [D9, D10, RELOCATION_2015, D24, D7];
|
||
const active = [
|
||
{ time: "05:00", score: 18, probability: 0.4 },
|
||
{ time: "05:07", score: 16, probability: 0.33 },
|
||
{ time: "04:53", score: 14, probability: 0.27 },
|
||
] as const;
|
||
const eliminated = times.filter((time) => !active.some((candidate) => candidate.time === time));
|
||
const orderedTimes = [...active.map((candidate) => candidate.time), ...eliminated];
|
||
return {
|
||
algorithm_version: revision5State().algorithm_version,
|
||
candidate_set_id: candidateSetId("04:47", "05:15", orderedTimes),
|
||
revision: 6,
|
||
phase: "discrimination",
|
||
result_status: "discriminating",
|
||
range_start: "04:47",
|
||
range_end: "05:15",
|
||
candidates: [
|
||
...active.map((candidate, index) => ({
|
||
id: candidate.time,
|
||
time: candidate.time,
|
||
cluster_range: [candidate.time, candidate.time] as const,
|
||
prior_score: candidate.score,
|
||
posterior_score: candidate.score,
|
||
probability: candidate.probability,
|
||
status: "active",
|
||
rank: index + 1,
|
||
strong_conflict_count: 0,
|
||
} as const)),
|
||
...eliminated.map((time, index) => ({
|
||
id: time,
|
||
time,
|
||
cluster_range: [time, time] as const,
|
||
prior_score: 4 - index,
|
||
posterior_score: 4 - index,
|
||
probability: 0,
|
||
status: "eliminated" as const,
|
||
rank: active.length + index + 1,
|
||
strong_conflict_count: 3,
|
||
})),
|
||
],
|
||
events: [
|
||
{ id: "e-career-entry", domain: "career", year: 2020, precision: "month", usage: "training" },
|
||
{ id: "e-career-exit", domain: "career", year: 2020, precision: "month", usage: "training" },
|
||
{ id: "e-rel-end", domain: "relationship", year: 2024, precision: "day", usage: "training" },
|
||
{ id: "e-rel-start", domain: "relationship", year: 2024, precision: "month", usage: "training" },
|
||
{ id: "e-education", domain: "education", year: 2016, precision: "year", usage: "training" },
|
||
],
|
||
probes: [...answered, CAREER_2023_ACTIVATION, NAKSHATRA],
|
||
answered_probes: answered.map((probe) => ({
|
||
probe_id: probe.id,
|
||
semantic_key: probe.semantic_key,
|
||
candidate_split_hash: probe.candidate_split_hash,
|
||
answer_class: probe === D24 ? "unsure" : "no",
|
||
classified_from: "choice",
|
||
})),
|
||
rounds: [],
|
||
last_inference_round: null,
|
||
entropy: 1.08,
|
||
representative_time: "05:00",
|
||
credible_range: ["04:53", "05:07"],
|
||
holdout_passed: null,
|
||
};
|
||
}
|
||
|
||
function liveCaseDossier(): DecisionDossier {
|
||
const state = liveCaseState();
|
||
return {
|
||
evidence: LIVE_CASE_EVIDENCE,
|
||
conversationSummary: {
|
||
activeFocus: null,
|
||
declinedSkippedTopics: [{ target_domain: "family", status: "declined" }],
|
||
},
|
||
latestResult: {
|
||
resultId: "55555555-5555-4555-8555-555555555555",
|
||
selectionAllowed: true,
|
||
confirmationAllowed: false,
|
||
evidenceLedgerFingerprint: evidenceLedgerFingerprint(LIVE_CASE_EVIDENCE as never),
|
||
candidates: state.candidates.map((candidate, index) => ({
|
||
candidateId: `77777777-7777-4777-8777-${String(index + 1).padStart(12, "0")}`,
|
||
time: candidate.time,
|
||
rank: candidate.rank,
|
||
relativeSupport: Math.round(candidate.posterior_score),
|
||
})),
|
||
representativeTime: state.representative_time,
|
||
decisionReceipt: {
|
||
acceptance_allowed: true,
|
||
accept_allowed: true,
|
||
propose_allowed: true,
|
||
selection_allowed: true,
|
||
confirmation_allowed: false,
|
||
inference_state: state,
|
||
window_scan: liveWindowScan(),
|
||
},
|
||
},
|
||
case: { acceptedTime: null },
|
||
};
|
||
}
|
||
|
||
async function persistOccupationAfterChoice(accounting: ReturnType<typeof fakeAccounting>["client"]) {
|
||
const dossier = occupationDossier();
|
||
const decision = decideFromDossier(dossier, { birthDate: "1997-08-08" });
|
||
return persistNextInterviewAfterChoice({
|
||
accounting,
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
dossier,
|
||
decisionState: revision5State(),
|
||
nextAction: publicNextAction(decision),
|
||
birthDate: "1997-08-08",
|
||
});
|
||
}
|
||
|
||
test("duplicate collect focus reloads the active question instead of returning null narration", async () => {
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => rpcDossier(occupationDossier(), occupationCollectFocus()),
|
||
set_agentic_rectification_conversation_focus: () => {
|
||
throw new Error("focus_idempotency_conflict");
|
||
},
|
||
});
|
||
const persisted = await persistOccupationAfterChoice(accounting.client);
|
||
assert.ok(persisted.hostNarration);
|
||
assert.notEqual(persisted.hostNarration, "");
|
||
assert.ok(
|
||
accounting.calls.filter((item) => item.fn === "set_agentic_rectification_conversation_focus").length >= 2,
|
||
);
|
||
});
|
||
|
||
test("skipped collect focus reloads once and retries persistence", async () => {
|
||
let writes = 0;
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => rpcDossier(occupationDossier()),
|
||
set_agentic_rectification_conversation_focus: (_fn, args) => {
|
||
writes += 1;
|
||
if (writes === 1) throw new Error("temporary focus write failure");
|
||
return { focus: createdFocusFromArgs(args), idempotent: false };
|
||
},
|
||
});
|
||
const persisted = await persistOccupationAfterChoice(accounting.client);
|
||
assert.ok(persisted.hostNarration);
|
||
assert.equal(writes, 2);
|
||
const write = accounting.calls.filter((item) => item.fn === "set_agentic_rectification_conversation_focus").at(-1);
|
||
const currentQuestion = projectCurrentQuestion({
|
||
id: FOCUS_ID,
|
||
questionId: String(write?.args.p_question_id ?? ""),
|
||
intent: String(write?.args.p_intent ?? ""),
|
||
targetDomain: typeof write?.args.p_target_domain === "string" ? write.args.p_target_domain : null,
|
||
expectedAnswerSchema: write?.args.p_expected_answer_schema as Record<string, unknown>,
|
||
});
|
||
assert.notEqual(currentQuestion, null);
|
||
assert.ok(currentQuestion?.prompt || currentQuestion?.kind);
|
||
});
|
||
|
||
test("nonterminal turn exit is already satisfied once dated coverage can adopt", async () => {
|
||
// 旧：内部 canAdopt 即 satisfied、不建题（采集期也会被拦住）。
|
||
// 新：只有 publicCanAdopt 才算有出口；五条证据 live case 对齐账本指纹后用户能采用。
|
||
// 保留：用户真能采用时不得再塞采集题。
|
||
const answerChoiceModule = await import("../src/lib/rectification-agentic/v9/answer-choice.ts") as Record<string, unknown>;
|
||
const ensureExit = answerChoiceModule.ensureNonTerminalTurnExit as undefined | ((input: {
|
||
accounting: ReturnType<typeof fakeAccounting>["client"];
|
||
userId: string;
|
||
caseId: string;
|
||
}) => Promise<{ hostNarration: string | null; persisted: boolean }>);
|
||
assert.equal(typeof ensureExit, "function");
|
||
const decision = liveCaseDossier();
|
||
const current = rpcDossier(decision);
|
||
const fingerprint = evidenceLedgerFingerprint(
|
||
decision.evidence.map((item) => ({
|
||
id: item.id,
|
||
eventKind: item.eventKind ?? "event",
|
||
domain: item.domain,
|
||
occurredFrom: item.occurredFrom,
|
||
occurredTo: item.occurredTo,
|
||
datePrecision: item.datePrecision,
|
||
summary: item.summary ?? `${item.occurredFrom} ${item.eventKind ?? "event"}`,
|
||
status: item.status,
|
||
})) as never,
|
||
);
|
||
(current.latest_result as { evidence_ledger_fingerprint: string }).evidence_ledger_fingerprint = fingerprint;
|
||
const next = decideFromDossier(decision, { birthDate: "1997-08-08" });
|
||
assert.equal(publicCanAdopt(next), true);
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => current,
|
||
set_agentic_rectification_conversation_focus: () => {
|
||
throw new Error("adoptable offer must not persist another question");
|
||
},
|
||
});
|
||
const repaired = await ensureExit!({
|
||
accounting: accounting.client,
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
});
|
||
assert.equal(repaired.persisted, false);
|
||
assert.equal(repaired.hostNarration, null);
|
||
assert.equal(
|
||
accounting.calls.some((item) => item.fn === "set_agentic_rectification_conversation_focus"),
|
||
false,
|
||
);
|
||
});
|
||
|
||
test("live five-evidence case keeps dated collect after family denial instead of adopting", async () => {
|
||
const dossier = liveCaseDossier();
|
||
const state = liveCaseState();
|
||
assert.equal(dossier.evidence.length, 5);
|
||
assert.equal(state.answered_probes.length, 5);
|
||
assert.deepEqual(state.candidates.filter((candidate) => candidate.status === "active").map((candidate) => candidate.time), [
|
||
"05:00", "05:07", "04:53",
|
||
]);
|
||
|
||
const decision = decideFromDossier(dossier, { birthDate: "1997-08-08" });
|
||
assert.equal(decision.probe, null);
|
||
assert.equal(decision.canAdopt, true);
|
||
assert.equal(decision.canConfirmExactMinute, false);
|
||
assert.ok(decision.droppedProbes.some((probe) => (
|
||
probe.semantic_key === CAREER_2023_ACTIVATION.semantic_key
|
||
&& probe.reason === "no_split_among_active"
|
||
)), JSON.stringify(decision.droppedProbes));
|
||
|
||
const plan = planFrom(dossier, { sessionOutcome: decision.sessionOutcome });
|
||
assert.equal(plan.next_followup?.domain, "finance");
|
||
assert.equal(plan.next_followup?.intent, "collect_method_evidence");
|
||
assert.equal(plan.next_followup?.choice_frame, null);
|
||
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => rpcDossier(dossier),
|
||
set_agentic_rectification_conversation_focus: (_fn, args) => ({
|
||
focus: createdFocusFromArgs(args),
|
||
idempotent: false,
|
||
}),
|
||
});
|
||
const persisted = await persistNextInterviewAfterChoice({
|
||
accounting: accounting.client,
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
dossier,
|
||
decisionState: state,
|
||
nextAction: publicNextAction(decision),
|
||
birthDate: "1997-08-08",
|
||
});
|
||
assert.equal(persisted.persisted, true);
|
||
assert.equal(persisted.followup?.domain, "finance");
|
||
assert.match(persisted.hostNarration, /收入|钱|欠债/);
|
||
assert.doesNotMatch(persisted.hostNarration, /我按你说的经历认真分析过了/);
|
||
const setFocus = accounting.calls.find((item) => item.fn === "set_agentic_rectification_conversation_focus");
|
||
assert.equal(setFocus?.args.p_target_domain, "finance");
|
||
});
|
||
|
||
test("coverage incomplete still prefers a dated discriminator over a same-turn yearless varga card", () => {
|
||
const state = revision5State([DATED_RELOCATION_2016]);
|
||
const plan = planFrom(revision5Dossier(state));
|
||
assert.equal(plan.next_followup?.semantic_key, DATED_RELOCATION_2016.semantic_key);
|
||
assert.ok(plan.next_followup?.choice_frame);
|
||
assert.notEqual(plan.next_followup?.source, "method_coverage");
|
||
assert.doesNotMatch(plan.next_followup?.semantic_key ?? "", /varga\.d12/);
|
||
});
|
||
|
||
test("yearless varga in another domain stays behind uncovered-method spoken collect", () => {
|
||
const evidence = [
|
||
{
|
||
id: "e-career",
|
||
status: "confirmed",
|
||
domain: "career",
|
||
datePrecision: "year" as const,
|
||
occurredFrom: "2020-01-01",
|
||
occurredTo: null,
|
||
eventKind: "career_entry",
|
||
},
|
||
{
|
||
id: "e-rel",
|
||
status: "confirmed",
|
||
domain: "relationship",
|
||
datePrecision: "year" as const,
|
||
occurredFrom: "2024-01-01",
|
||
occurredTo: null,
|
||
eventKind: "relationship_end",
|
||
},
|
||
{
|
||
id: "e-edu",
|
||
status: "confirmed",
|
||
domain: "education",
|
||
datePrecision: "year" as const,
|
||
occurredFrom: "2016-01-01",
|
||
occurredTo: null,
|
||
eventKind: "education_start",
|
||
},
|
||
{
|
||
id: "e-job",
|
||
status: "confirmed",
|
||
domain: "occupation",
|
||
datePrecision: "unknown" as const,
|
||
occurredFrom: null,
|
||
occurredTo: null,
|
||
eventKind: "occupation_note",
|
||
},
|
||
];
|
||
const plan = buildMethodFollowupPlan({
|
||
evidence,
|
||
contrastPacket: {
|
||
candidateSetVersion: "05:00-05:07",
|
||
vargaDifferences: [],
|
||
probes: [{
|
||
probeId: D24.id,
|
||
candidateSetVersion: "05:00-05:07",
|
||
question: D24.question,
|
||
expectedOutcomes: D24.expected_outcomes.map((row) => ({
|
||
outcomeId: row.answer_class,
|
||
supportsCandidateIds: [...row.supports],
|
||
conflictsCandidateIds: [...row.conflicts],
|
||
})),
|
||
candidateSplitHash: D24.candidate_split_hash,
|
||
informationGain: D24.information_gain,
|
||
sourceFeatures: [{ technique: "D24", calculationResultId: null }],
|
||
domain: "education",
|
||
year: null,
|
||
semanticKey: D24.semantic_key,
|
||
choiceKind: "existence",
|
||
styleOptions: EXISTENCE_OPTIONS.map((item) => ({
|
||
label: item.label,
|
||
answerClass: item.answer_class,
|
||
})),
|
||
}],
|
||
},
|
||
candidatesSeparated: false,
|
||
});
|
||
assert.equal(plan.next_followup?.domain, "family");
|
||
assert.doesNotMatch(plan.next_followup?.semantic_key ?? "", /varga\.d24/);
|
||
});
|
||
|
||
test("collect-focus classifier and resolve-focus copy do not treat explicit no as resolved", () => {
|
||
const route = readFileSync(new URL("../src/app/api/rectification/agent/route.ts", import.meta.url), "utf8");
|
||
const classifier = readFileSync(new URL("../src/lib/rectification-agentic/v9/turn-intent-classifier.ts", import.meta.url), "utf8");
|
||
const tools = readFileSync(new URL("../src/mastra/rectification-v9-tools.ts", import.meta.url), "utf8");
|
||
const fastPath = route.slice(
|
||
route.indexOf('if (action === "message")'),
|
||
route.indexOf("const requestTime"),
|
||
);
|
||
assert.match(fastPath, /isCollectFocusSchema/);
|
||
assert.match(fastPath, /shouldDeclineCollectFocus/);
|
||
assert.match(fastPath, /applyCollectFocusDenial/);
|
||
assert.match(classifier, /collect === true|isCollectFocusSchema/);
|
||
assert.doesNotMatch(classifier + fastPath, /USER_STOP_PATTERN|parseChoiceKeyFromUserMessage/);
|
||
const resolveTool = tools.slice(
|
||
tools.indexOf('id: "rectification-resolve-focus"'),
|
||
tools.indexOf("inputSchema: z.object({", tools.indexOf('id: "rectification-resolve-focus"')),
|
||
);
|
||
assert.match(resolveTool, /declined/);
|
||
assert.match(resolveTool, /采集题|确实没有/);
|
||
assert.match(resolveTool, /resolved 只用于已落证据|已落证据/);
|
||
assert.match(resolveTool, /没有 active focus|没有当前.*focus/);
|
||
});
|
||
|
||
test("has_new_dated_event continues into the agent after applying the answer", () => {
|
||
const route = readFileSync(new URL("../src/app/api/rectification/agent/route.ts", import.meta.url), "utf8");
|
||
const classifier = readFileSync(new URL("../src/lib/rectification-agentic/v9/turn-intent-classifier.ts", import.meta.url), "utf8");
|
||
const fastPath = route.slice(
|
||
route.indexOf('if (action === "message")'),
|
||
route.indexOf("const requestTime"),
|
||
);
|
||
assert.match(classifier, /has_new_dated_event/);
|
||
assert.match(classifier, /带大概时间的经历/);
|
||
assert.match(classifier, /intent 仍为 answer_current_focus/);
|
||
assert.match(classifier, /不要改成 provide_new_evidence/);
|
||
assert.doesNotMatch(classifier + fastPath, /USER_STOP_PATTERN|parseChoiceKeyFromUserMessage/);
|
||
assert.doesNotMatch(classifier + fastPath, /(?:userMessage|user_message|message)\.(?:match|search|includes|startsWith|endsWith)\(/);
|
||
assert.match(fastPath, /shouldContinueAgentForDatedEvent/);
|
||
assert.match(fastPath, /deferFollowup:\s*continueToAgent/);
|
||
const choiceApply = fastPath.slice(
|
||
fastPath.indexOf("if (classified.intent === \"answer_current_focus\")"),
|
||
fastPath.indexOf("if (classified.intent === \"stop_rectification\")"),
|
||
);
|
||
assert.ok(choiceApply.indexOf("applyRectificationChoice") < choiceApply.indexOf("if (!continueToAgent)"));
|
||
assert.match(choiceApply, /return completedMessageResponse\(applied\.narration/);
|
||
assert.ok(choiceApply.indexOf("if (!continueToAgent)") < choiceApply.indexOf("return completedMessageResponse(applied.narration"));
|
||
const collectApply = fastPath.slice(
|
||
fastPath.indexOf("if (shouldDeclineCollectFocus(classified))"),
|
||
fastPath.indexOf("} else {"),
|
||
);
|
||
assert.ok(collectApply.indexOf("applyCollectFocusDenial") < collectApply.indexOf("if (!continueToAgent)"));
|
||
assert.match(collectApply, /persistCollectDenialTurn/);
|
||
assert.match(collectApply, /completedMessageResponse\(finished\.streamText, requestId, caseId, finished\.turnId\)/);
|
||
assert.ok(collectApply.indexOf("if (!continueToAgent)") < collectApply.indexOf("persistCollectDenialTurn"));
|
||
assert.ok(route.indexOf("if (action === \"message\")") < route.indexOf("runV9AgentTurn({"));
|
||
assert.match(route, /function completedMessageResponse\([\s\S]*?turnId\?: string \| null/);
|
||
const answerChoice = readFileSync(new URL("../src/lib/rectification-agentic/v9/answer-choice.ts", import.meta.url), "utf8");
|
||
const persistDenial = answerChoice.slice(
|
||
answerChoice.indexOf("export async function persistCollectDenialTurn"),
|
||
answerChoice.indexOf("export function isStalePreAdoptFocus"),
|
||
);
|
||
assert.match(persistDenial, /composeCollectSpokenAssistantText\(RECTIFICATION_USER_COPY\.collectDeclinedAck/);
|
||
assert.match(persistDenial, /linkFocusAskedTurn/);
|
||
assert.match(persistDenial, /streamText = hasNextStem \? RECTIFICATION_USER_COPY\.collectDeclinedAck/);
|
||
const persistApplied = answerChoice.slice(answerChoice.indexOf("async function persistApplied"));
|
||
assert.match(persistApplied, /command\.deferFollowup !== true/);
|
||
assert.equal(shouldContinueAgentForDatedEvent({
|
||
intent: "answer_current_focus",
|
||
answer_class: "no",
|
||
has_new_dated_event: true,
|
||
}), true);
|
||
assert.equal(shouldContinueAgentForDatedEvent({
|
||
intent: "answer_current_focus",
|
||
answer_class: "no",
|
||
}), false);
|
||
});
|
||
|
||
test("collect denial with a new dated event does not persist the next interview before the agent", async () => {
|
||
const occupationFocus = {
|
||
id: FOCUS_ID,
|
||
case_id: CASE_ID,
|
||
question_id: "occupation:occupation",
|
||
intent: "collect_method_evidence",
|
||
target_evidence_id: null,
|
||
target_domain: "occupation",
|
||
target_kind: null,
|
||
expected_answer_schema: {
|
||
prompt: "你平时主要做什么工作？",
|
||
collect: true,
|
||
},
|
||
status: "active",
|
||
asked_at: "2026-08-29T00:00:00.000Z",
|
||
resolved_at: null,
|
||
};
|
||
let loads = 0;
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => {
|
||
loads += 1;
|
||
if (loads === 1) {
|
||
return rpcDossier(revision5Dossier(revision5State(), {
|
||
declinedTopics: [{ target_domain: "family", status: "declined" }],
|
||
}), occupationFocus);
|
||
}
|
||
return rpcDossier(revision5Dossier(revision5State(), {
|
||
declinedTopics: [
|
||
{ target_domain: "family", status: "declined" },
|
||
{ target_domain: "occupation", status: "declined" },
|
||
],
|
||
}));
|
||
},
|
||
get_agentic_rectification_case_compute: () => computeFixture(),
|
||
resolve_agentic_rectification_conversation_focus: (_fn, args) => ({
|
||
focus_id: args.p_focus_id,
|
||
status: args.p_status,
|
||
evidence_id: null,
|
||
idempotent: false,
|
||
}),
|
||
set_agentic_rectification_conversation_focus: (_fn, args) => ({
|
||
focus: {
|
||
id: "acacacac-acac-4cac-8cac-acacacacacac",
|
||
case_id: CASE_ID,
|
||
question_id: args.p_question_id,
|
||
intent: args.p_intent,
|
||
target_evidence_id: args.p_target_evidence_id,
|
||
target_domain: args.p_target_domain,
|
||
target_kind: args.p_target_kind,
|
||
expected_answer_schema: args.p_expected_answer_schema,
|
||
status: "active",
|
||
asked_at: "2026-08-29T00:00:00.000Z",
|
||
resolved_at: null,
|
||
},
|
||
idempotent: false,
|
||
}),
|
||
});
|
||
const applied = await applyCollectFocusDenial(accounting.client, {
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
focusId: FOCUS_ID,
|
||
deferFollowup: true,
|
||
});
|
||
const resolve = accounting.calls.find((item) => item.fn === "resolve_agentic_rectification_conversation_focus");
|
||
assert.equal(resolve?.args.p_status, "declined");
|
||
assert.equal(
|
||
accounting.calls.some((item) => item.fn === "set_agentic_rectification_conversation_focus"),
|
||
false,
|
||
);
|
||
assert.equal(applied.nextInterviewPersisted, false);
|
||
assert.equal(applied.focus, null);
|
||
assert.equal(applied.narration, RECTIFICATION_USER_COPY.collectDeclinedAck);
|
||
});
|
||
|
||
test("persistNextInterviewIfIdle uses the dossier decision sessionOutcome once", async () => {
|
||
const source = readFileSync(new URL("../src/lib/rectification-agentic/v9/answer-choice.ts", import.meta.url), "utf8");
|
||
const idle = source.slice(
|
||
source.indexOf("export async function persistNextInterviewIfIdle"),
|
||
source.indexOf("async function persistApplied"),
|
||
);
|
||
assert.equal(idle.split("decideFromDossier").length - 1, 1);
|
||
assert.match(idle, /sessionOutcome:\s*decision\.sessionOutcome/);
|
||
assert.doesNotMatch(idle, /sessionOutcome:\s*"collect_evidence"/);
|
||
assert.match(idle, /publicNextAction\(decision\)/);
|
||
|
||
const covered = revision5Dossier(revision5State([DATED_RELOCATION_2016]), {
|
||
declinedTopics: [
|
||
{ target_domain: "family", status: "declined" },
|
||
{ target_domain: "occupation", status: "declined" },
|
||
{ target_domain: "horary", status: "declined" },
|
||
],
|
||
});
|
||
const decision = decideFromDossier(covered);
|
||
assert.notEqual(decision.sessionOutcome, "collect_evidence");
|
||
const catalog = rectificationFollowupCatalog(covered.latestResult, covered.evidence);
|
||
const collectPlan = buildMethodFollowupPlan({
|
||
evidence: covered.evidence,
|
||
declinedTopics: covered.conversationSummary.declinedSkippedTopics,
|
||
sessionOutcome: "collect_evidence",
|
||
...catalog,
|
||
candidatesSeparated: false,
|
||
});
|
||
const decisionPlan = buildMethodFollowupPlan({
|
||
evidence: covered.evidence,
|
||
declinedTopics: covered.conversationSummary.declinedSkippedTopics,
|
||
sessionOutcome: decision.sessionOutcome,
|
||
...catalog,
|
||
candidatesSeparated: false,
|
||
});
|
||
assert.ok(decisionPlan.next_followup);
|
||
assert.notEqual(collectPlan.next_followup?.intent, decisionPlan.next_followup?.intent);
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => rpcDossier(covered),
|
||
get_agentic_rectification_case_compute: () => computeFixture(),
|
||
set_agentic_rectification_conversation_focus: (_fn, args) => ({
|
||
focus: {
|
||
id: FOCUS_ID,
|
||
case_id: CASE_ID,
|
||
question_id: args.p_question_id,
|
||
intent: args.p_intent,
|
||
target_evidence_id: args.p_target_evidence_id,
|
||
target_domain: args.p_target_domain,
|
||
target_kind: args.p_target_kind,
|
||
expected_answer_schema: args.p_expected_answer_schema,
|
||
status: "active",
|
||
asked_at: "2026-08-29T00:00:00.000Z",
|
||
resolved_at: null,
|
||
},
|
||
idempotent: false,
|
||
}),
|
||
});
|
||
const persisted = await persistNextInterviewIfIdle({
|
||
accounting: accounting.client,
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
});
|
||
assert.equal(persisted.persisted, true);
|
||
assert.ok(persisted.hostNarration || persisted.choiceReady);
|
||
const setFocus = accounting.calls.find((item) => item.fn === "set_agentic_rectification_conversation_focus");
|
||
assert.ok(setFocus);
|
||
assert.notEqual(setFocus?.args.p_intent, "collect_method_evidence");
|
||
});
|