fix(rectification): stop re-asking covered domains after adopt (BUG-590, BUG-591)
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Yearless-to-collect now skips domains already confirmed, declined, or asked; adopt-exhausted turns skip leftover collect persist. Collect focus collisions only retry with :next when collect_retry is set.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
Jesse_Chen
2026-09-08 12:27:40 +08:00
co-authored by Cursor
parent 43fd8875ce
commit 7ca6ade244
11 changed files with 613 additions and 36 deletions
@@ -2146,7 +2146,7 @@ test("D9/D10 contrast after occupation coverage asks a discriminator, not adopt"
}), "discriminate_candidates");
});
test("answered duty language skips window D10 and collects a dated education event instead of a yearless D24 card", () => {
test("answered duty language skips window D10 and does not re-ask covered education from a yearless D24 card", () => {
const packet = {
candidateSetVersion: "05:00-05:07",
vargaDifferences: [
@@ -2185,11 +2185,13 @@ test("answered duty language skips window D10 and collects a dated education eve
evidence,
contrastPacket: packet,
});
assert.equal(plan.next_followup?.domain, "education");
// 原值: educationyearless D24 直接变成学业采集)
// 新值: finance
// 原因: CLASSIC_COVERAGE 已有学业;BUG-590 跳过已覆盖领域,改收未覆盖的财务
assert.equal(plan.next_followup?.domain, "finance");
assert.equal(plan.next_followup?.intent, "collect_method_evidence");
assert.equal(plan.next_followup?.choice_frame, null);
assert.match(plan.next_followup?.user_prompt_hint ?? "", /记得住年份/);
assert.doesNotMatch(plan.next_followup?.semantic_key ?? "", /varga\.d10/);
assert.doesNotMatch(plan.next_followup?.semantic_key ?? "", /varga\.d(10|24)/);
});
test("yearless D24 yields to a dated career dasha instead of borrowing the recorded education year", () => {
@@ -7,15 +7,31 @@ import { OPEN_ENGINE_CAPABILITY_CEILING } from "./rectification-v9-test-support.
import { decideRectification } from "../src/lib/rectification-agentic/core/rectification-decision.ts";
import { trainingScoreableGate } from "../src/lib/rectification-agentic/v9/evidence-model.ts";
import { RECTIFICATION_SKILL_VERSION } from "../src/lib/rectification-agentic/v9/case-status.ts";
import { buildMethodFollowupPlan } from "../src/lib/rectification-agentic/v9/method-followup.ts";
import { buildMethodFollowupPlan, holdoutFollowupFor } from "../src/lib/rectification-agentic/v9/method-followup.ts";
import {
canShowRectificationSelectionCards,
parseRectificationCandidateResult,
workingRectificationHouseTable,
} from "../src/lib/rectification-candidate-result.ts";
import { decideFromDossier } from "../src/lib/rectification-agentic/v9/decision-from-dossier.ts";
import { evidenceLedgerFingerprint } from "../src/lib/rectification-agentic/v9/tool-service.ts";
import { persistNextInterviewIfIdle } from "../src/lib/rectification-agentic/v9/answer-choice.ts";
import { evidenceLedgerFingerprint, parseV9CaseDossier } from "../src/lib/rectification-agentic/v9/tool-service.ts";
import { latestResultToolProjection } from "../src/mastra/rectification-v9-tools.ts";
import { isRenderableChoiceOpenQuestion } from "../src/lib/rectification-agentic/v9/server-focus.ts";
import { projectCurrentQuestion } from "../src/lib/rectification-agentic/v9/turn-decision.ts";
import { interviewQuestionBlocksAdoptOffer } from "../src/lib/rectification-agentic/v9/turn-question.ts";
import { candidateSetId } from "../src/lib/rectification-agentic/core/build-state.ts";
import { asInferenceState } from "../src/lib/rectification-agentic/core/compose-receipt.ts";
import { INFERENCE_ALGORITHM_VERSION } from "../src/lib/rectification-agentic/core/types.ts";
import {
CASE_ID,
USER_ID,
candidateSnapshotFixture,
computeFixture,
dossierFixture,
fakeAccounting,
receiptHandlers,
} from "./rectification-v9-test-support.ts";
const STYLE_OPTIONS = [
{ label: "明确发生且时间吻合", answer_class: "yes" as const },
@@ -503,3 +519,343 @@ test("collect focus is still not a renderable choice card", () => {
probe_id: null,
}), false);
});
const ACCIDENT_EVIDENCE = [
dated("e-edu-1", "education", "education_start", "2016-09-01"),
dated("e-edu-2", "education", "education_completion", "2020-06-01"),
dated("e-rel-1", "relationship", "relationship_start", "2018-05-01"),
dated("e-rel-2", "relationship", "relationship_end", "2021-08-01"),
dated("e-fin-1", "finance", "finance_change", "2024-03-01"),
dated("e-career-1", "career", "career_entry", "2020-04-01"),
dated("e-career-2", "career", "career_change", "2023-07-01"),
dated("e-reloc-1", "relocation", "home_change", "2022-10-01"),
dated("e-health-1", "health", "self_health_event", "2021-11-01"),
{
id: "e-occ-1",
status: "confirmed" as const,
domain: "occupation",
datePrecision: "unknown" as const,
occurredFrom: null,
occurredTo: null,
eventKind: "occupation_note",
},
];
const FAMILY_DECLINED_TOPIC = [{
target_domain: "family",
status: "declined",
questionId: "collect:family:collect_method_evidence",
intent: "collect_method_evidence",
}];
const CLOSED_FINANCE_FOCUS = [{
questionId: "collect:finance:collect_method_evidence",
targetDomain: "finance",
intent: "collect_method_evidence",
status: "resolved",
}];
const ACCIDENT_YEARLESS = {
candidateSetVersion: "04:51-04:53",
vargaDifferences: [] as const,
probes: [
yearlessProbe("d11", 2.5, "finance"),
yearlessProbe("d2", 2.2, "finance"),
yearlessProbe("d24", 1.2, "education"),
yearlessProbe("d5", 0.5, "education"),
yearlessProbe("d4", 0.99, "relocation"),
yearlessProbe("d7", 1.22, "family"),
yearlessProbe("d12", 1.1, "family"),
],
};
const ANSWERED_SIX = [
{ semantic_key: "varga.d9.天秤座|天蝎座", answer_class: "yes" },
{ semantic_key: "varga.d10.巨蟹座|狮子座", answer_class: "yes" },
{ semantic_key: "career.2020", answer_class: "yes" },
{ semantic_key: "career.2023", answer_class: "no" },
{ semantic_key: "relocation.2022", answer_class: "no" },
{ semantic_key: "finance.2024", answer_class: "no" },
];
function coveredDomainPlan(
extra: Partial<Parameters<typeof buildMethodFollowupPlan>[0]> = {},
) {
return buildMethodFollowupPlan({
evidence: ACCIDENT_EVIDENCE,
contrastPacket: ACCIDENT_YEARLESS,
declinedTopics: FAMILY_DECLINED_TOPIC,
closedCollectFocuses: CLOSED_FINANCE_FOCUS,
answeredProbes: ANSWERED_SIX,
sessionOutcome: "adopt_representative",
...extra,
});
}
test("yearless-to-collect does not re-ask a covered domain after occupation is done", () => {
const plan = coveredDomainPlan();
// 原值: next_followup.domain = financeL2224 取 yearless[0]=D11
// 新值: null
// 原因: 财务已有带年月事件且采集焦点已关闭;守卫跳过已覆盖领域后交付
assert.equal(plan.next_followup, null);
});
test("yearless-to-collect still asks an uncovered relocation domain", () => {
const plan = coveredDomainPlan({
evidence: ACCIDENT_EVIDENCE.filter((item) => item.domain !== "relocation"),
closedCollectFocuses: CLOSED_FINANCE_FOCUS,
});
// 原值: financeD11 仍排第一)
// 新值: relocation
// 原因: 守卫只跳过已覆盖领域,不是删 yearless→采集分支
assert.equal(plan.next_followup?.domain, "relocation");
assert.equal(plan.next_followup?.intent, "collect_method_evidence");
assert.equal(plan.next_followup?.choice_frame, null);
});
function rpcAccidentEvidence(rows: readonly typeof ACCIDENT_EVIDENCE[number][]) {
return rows.map((item, index) => ({
id: item.id ?? `e-${index}`,
source_turn_id: "33333333-3333-4333-8333-333333333333",
subject: "self",
event_kind: item.eventKind ?? item.domain,
domain: item.domain,
occurred_from: item.occurredFrom,
occurred_to: item.occurredTo,
date_precision: item.datePrecision,
summary: "",
status: item.status,
supersedes_evidence_id: null,
created_at: "2026-09-08T00:00:00.000Z",
}));
}
function accidentEvidenceFingerprint() {
return evidenceLedgerFingerprint(rpcAccidentEvidence(ACCIDENT_EVIDENCE).map((item) => ({
id: item.id,
eventKind: item.event_kind,
domain: item.domain,
occurredFrom: item.occurred_from,
occurredTo: item.occurred_to,
datePrecision: item.date_precision,
summary: item.summary,
status: item.status,
})) as never);
}
function yearlessInferenceProbe(layer: string, domain: string, gain: number) {
return {
id: `contrast:varga.${layer}.unsigned`,
semantic_key: `varga.${layer}.unsigned`,
candidate_split_hash: `varga.${layer}.04:51/04:53`,
domain,
year: 0,
question: `当前几个候选在 ${layer} 上还分得开。`,
candidate_ids: ["04:51", "04:53"],
expected_outcomes: [
{ answer_class: "yes" as const, supports: ["04:51"], conflicts: ["04:53"] },
{ answer_class: "no" as const, supports: ["04:53"], conflicts: ["04:51"] },
],
information_gain: gain,
source: "varga_contrast",
choice_kind: "existence" as const,
style_options: STYLE_OPTIONS,
};
}
function accidentIdleState() {
const times = ["04:51", "04:52", "04:53"] as const;
const raw = {
algorithm_version: INFERENCE_ALGORITHM_VERSION,
candidate_set_id: candidateSetId("04:51", "04:53", times),
revision: 6,
phase: "discrimination" as const,
result_status: "discriminating" as const,
range_start: "04:51",
range_end: "04:53",
candidates: times.map((time, index) => ({
id: time,
time,
cluster_range: [time, time] as const,
prior_score: 30 - index,
posterior_score: 30 - index,
probability: index === 0 ? 0.5 : 0.25,
status: "active" as const,
rank: index + 1,
strong_conflict_count: 0,
})),
events: [
{ id: "e-edu-1", domain: "education", year: 2016, precision: "month" as const, usage: "training" as const },
{ id: "e-edu-2", domain: "education", year: 2020, precision: "month" as const, usage: "training" as const },
{ id: "e-rel-1", domain: "relationship", year: 2018, precision: "month" as const, usage: "training" as const },
{ id: "e-rel-2", domain: "relationship", year: 2021, precision: "month" as const, usage: "holdout" as const },
{ id: "e-fin-1", domain: "finance", year: 2024, precision: "month" as const, usage: "holdout" as const },
{ id: "e-career-1", domain: "career", year: 2020, precision: "month" as const, usage: "training" as const },
{ id: "e-career-2", domain: "career", year: 2023, precision: "month" as const, usage: "training" as const },
{ id: "e-reloc-1", domain: "relocation", year: 2022, precision: "month" as const, usage: "training" as const },
{ id: "e-health-1", domain: "health", year: 2021, precision: "month" as const, usage: "training" as const },
],
probes: [
yearlessInferenceProbe("d11", "finance", 2.5),
yearlessInferenceProbe("d24", "education", 1.2),
yearlessInferenceProbe("d4", "relocation", 0.99),
yearlessInferenceProbe("d7", "family", 1.22),
],
answered_probes: ANSWERED_SIX.map((item) => ({
probe_id: `probe:${item.semantic_key}`,
semantic_key: item.semantic_key,
candidate_split_hash: item.semantic_key,
answer_class: item.answer_class as "yes" | "no",
classified_from: "choice" as const,
})),
rounds: ANSWERED_SIX.map((item, index) => ({
round: index + 1,
phase: "discrimination" as const,
probe_id: `probe:${item.semantic_key}`,
scores_before: { "04:51": 30, "04:52": 29, "04:53": 28 },
scores_after: { "04:51": 32, "04:52": 29, "04:53": 28 },
entropy_before: 1.1,
entropy_after: 1.0,
eliminated_ids: [] as string[],
winner_id: null,
kind: "informative" as const,
})),
last_inference_round: null,
entropy: 1.0,
representative_time: "04:51",
credible_range: ["04:51", "04:53"] as const,
holdout_passed: null,
};
const loaded = asInferenceState(raw);
assert.ok(loaded, "covered-domain accident inference must parse");
return loaded;
}
function accidentIdleDossier() {
const fingerprint = accidentEvidenceFingerprint();
const state = accidentIdleState();
return dossierFixture({
evidence: rpcAccidentEvidence(ACCIDENT_EVIDENCE),
evidenceCount: ACCIDENT_EVIDENCE.length,
latestResult: candidateSnapshotFixture({
selectionAllowed: true,
representativeTime: "04:51",
evidenceLedgerFingerprint: fingerprint,
candidates: [
{ candidate_id: "88888888-8888-4888-8888-888888888881", rank: 1, time: "04:51", relative_support: 40, tied_minute_count: 1 },
{ candidate_id: "88888888-8888-4888-8888-888888888882", rank: 2, time: "04:52", relative_support: 35, tied_minute_count: 1 },
{ candidate_id: "88888888-8888-4888-8888-888888888883", rank: 3, time: "04:53", relative_support: 25, tied_minute_count: 1 },
],
decisionReceipt: {
accept_allowed: true,
acceptance_allowed: true,
propose_allowed: true,
selection_allowed: true,
confirmation_allowed: false,
inference_state: state,
},
}),
conversationSummary: {
confirmed_evidence_summary: [],
pending_revisions: [],
active_focus: null,
declined_skipped_topics: FAMILY_DECLINED_TOPIC,
candidate_divergence_summary: null,
missing_evidence_categories: [],
last_result_policy: null,
summary_version: 1,
updated_at: "2026-09-08T00:00:00.000Z",
},
});
}
test("idle persist on the covered-domain accident delivers adopt and writes no focus", async () => {
const rpc = accidentIdleDossier();
const dossier = parseV9CaseDossier(rpc);
assert.ok(dossier, "covered-domain accident RPC dossier must parse");
const decision = decideFromDossier(dossier, { birthDate: "1997-08-08" });
assert.equal(decision.sessionOutcome, "adopt_representative");
assert.equal(decision.canAdopt, true);
assert.equal(decision.stopReason, "probe_pool_exhausted");
const accounting = fakeAccounting({
...receiptHandlers,
get_agentic_rectification_case_dossier: () => rpc,
get_agentic_rectification_case_compute: () => computeFixture(),
set_agentic_rectification_conversation_focus: (_fn, args) => {
throw new Error(`must not persist ${String(args.p_question_id)}`);
},
append_agentic_rectification_turn: () => ({ turn_id: "33333333-3333-4333-8333-333333333333", idempotent: false }),
finalize_agentic_rectification_turn: () => ({
turn_id: "33333333-3333-4333-8333-333333333333",
status: "completed",
idempotent: false,
}),
get_agentic_rectification_turn_receipt: () => null,
});
const idle = await persistNextInterviewIfIdle({
accounting: accounting.client,
userId: USER_ID,
caseId: CASE_ID,
});
assert.equal(
accounting.calls.some((item) => item.fn === "set_agentic_rectification_conversation_focus"),
false,
);
assert.equal(idle.terminalNote, true);
assert.ok(idle.hostNarration);
assert.equal(projectCurrentQuestion(null), null);
assert.equal(interviewQuestionBlocksAdoptOffer(null, false), false);
});
test("agent-run still writes the exhaustion gate when idle persist returns terminalNote", () => {
const agent = readFileSync(new URL("../src/lib/rectification-agentic/v9/agent-run.ts", import.meta.url), "utf8");
const chat = readFileSync(new URL("../src/components/rectification-agentic-chat.tsx", import.meta.url), "utf8");
assert.match(agent, /idle\.terminalNote && idle\.hostNarration/);
assert.match(agent, /persistExhaustionGateTurn/);
assert.match(chat, /canOfferCards = canShowRectificationSelectionCards/);
const offer = canShowRectificationSelectionCards(
parseRectificationCandidateResult({
resultId: "55555555-5555-4555-8555-555555555555",
candidates: [
{ candidateId: CANDIDATE_IDS[0], rank: 1, time: "04:51", relativeSupport: 40, tiedMinuteCount: 1 },
{ candidateId: CANDIDATE_IDS[1], rank: 2, time: "04:53", relativeSupport: 35, tiedMinuteCount: 1 },
],
overallConfidence: "medium",
selectionAllowed: true,
canAdopt: true,
confirmationAllowed: false,
representativeTime: "04:51",
selectedTime: null,
sessionOutcome: "adopt_representative",
decisionReceipt: {
accept_allowed: true,
acceptance_allowed: true,
selection_allowed: true,
propose_allowed: true,
confirmation_allowed: false,
},
}),
);
assert.equal(offer, true);
});
test("holdout occupied treats health and health_pressure as the same line", () => {
const evidence = [
...ACCIDENT_EVIDENCE.filter((item) => item.domain !== "health"),
dated("e-health-ledger", "health", "self_health_event", "2021-11-01"),
];
const fields = holdoutFollowupFor({
evidence,
oosBlindPrompts: [{
domain: "health_pressure",
user_meaning: "身体这条线还没用过。",
used_for_scoring: false,
}],
}, new Set());
// 原值: health_pressure
// 新值: null
// 原因: occupied 不认 health / health_pressure 同义时会再问一遍健康
assert.equal(fields, null);
});
@@ -784,8 +784,10 @@ test("collect persist maps occupation to other and health_pressure to health", a
assert.equal(healthWrite?.args.p_target_domain, "health");
});
test("collect focus unique conflict retries with a :next question id", async () => {
const followup = collectFollowup();
test("collect focus unique conflict is duplicate_focus unless collect_retry", async () => {
// 原值: 任何撞 id 都 :next
// 新值: 仅 collect_retry 才 :next;否则 duplicate_focus、RPC 一次
// 原因: BUG-591 决策 3;撞 id 本身就是这题问过了
let writes = 0;
const accounting = fakeAccounting({
set_agentic_rectification_conversation_focus: (_fn, args) => {
@@ -800,7 +802,29 @@ test("collect focus unique conflict retries with a :next question id", async ()
caseId: CASE_ID,
activeFocus: null,
decisionReceipt: null,
followup,
followup: collectFollowup(),
});
assert.equal(persisted.status, "duplicate_focus");
assert.equal(writes, 1);
assert.equal(persisted.questionId, "collect:relationship:collect_method_evidence");
});
test("collect_retry unique conflict still retries with a :next question id", async () => {
let writes = 0;
const accounting = fakeAccounting({
set_agentic_rectification_conversation_focus: (_fn, args) => {
writes += 1;
if (writes === 1) throw new Error("agentic_rectification_focus_idempotency_conflict");
return focusRowFromArgs(args);
},
});
const persisted = await persistServerOwnedFocus({
accounting: accounting.client,
userId: USER_ID,
caseId: CASE_ID,
activeFocus: null,
decisionReceipt: null,
followup: collectFollowup({ collect_retry: true }),
});
assert.equal(persisted.status, "created");
assert.equal(writes, 2);