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Jyotisha/frontend/tests/rectification-agent-v5.test.ts
T
2026-07-30 10:55:39 +08:00

454 lines
19 KiB
TypeScript

import assert from "node:assert/strict";
import { randomUUID } from "node:crypto";
import test from "node:test";
import {
agentRunSchema,
diagnosticsSummarySchema,
type DiagnosticsSummary,
type QuestionOpportunity,
} from "../src/lib/rectification-agent/contracts.ts";
import { rectificationCanaryBucket, selectRectificationDeploymentMode } from "../src/lib/rectification-agent/feature-policy.ts";
import { buildQuestionOpportunities } from "../src/lib/rectification-agent/opportunity-builder.ts";
import { runBoundedReasoner } from "../src/lib/rectification-agent/reasoner-agent.ts";
import { realizePublicMessage, validateQuestionRealization } from "../src/lib/rectification-agent/renderer-agent.ts";
import { createRectificationV4CaseService } from "../src/lib/rectification-v4/case-service.ts";
import type {
CalculationSpec,
CandidateSnapshot,
LifeEventRevision,
RectificationV4Case,
} from "../src/lib/rectification-v4/contracts.ts";
import { reconcileV4Evidence } from "../src/lib/rectification-v4/extraction.ts";
import { calculationSpecHash, rectificationFingerprint } from "../src/lib/rectification-v4/fingerprints.ts";
import { createRectificationV4MemoryStore } from "../src/lib/rectification-v4/memory-store.ts";
import { createRectificationV4Worker } from "../src/lib/rectification-v4/worker.ts";
import { v5EngineResult, withV5Mode } from "./rectification-v5-test-support.ts";
const caseId = "00000000-0000-4000-8000-000000000901";
const snapshotId = "00000000-0000-4000-8000-000000000902";
const opportunityId = "00000000-0000-4000-8000-000000000903";
const now = "2026-07-28T00:00:00.000Z";
test("completion artifact fingerprints are canonical and payload-sensitive", () => {
const left = rectificationFingerprint({ status: "complete", artifact: { b: 2, a: 1 } });
const reordered = rectificationFingerprint({ artifact: { a: 1, b: 2 }, status: "complete" });
const changed = rectificationFingerprint({ artifact: { a: 1, b: 3 }, status: "complete" });
assert.equal(left, reordered);
assert.notEqual(left, changed);
});
const spec: CalculationSpec = {
version: "rectification-calculation-spec-v4",
birthDate: "1997-08-08",
candidateRange: { start: "05:00", end: "06:00" },
latitude: 36.419,
longitude: 114.213,
timezoneOffsetHours: 8,
ayanamsa: "lahiri",
nodeMode: "mean",
minuteStep: 1,
};
const snapshot: CandidateSnapshot = {
id: snapshotId,
caseId,
caseVersion: 2,
evidenceSetHash: "e".repeat(64),
calculationSpecHash: calculationSpecHash(spec),
algorithmVersion: "rectification-v5-matrix-scoring-1",
candidates: [{ time: "05:13", score: 10, supportingEventIds: [], conflictingEventIds: [] }],
clusters: [{ rank: 1, startTime: "05:13", endTime: "05:15", representativeTime: "05:13", widthMinutes: 3, peakScore: 10, scoreMass: 1 }],
robustness: { neighborSupportMinutes: 3, leaveOneOutRetentionRate: 1, leaveOneDomainOutRetentionRate: 1, dateSensitivityRetentionRate: 1, calculationSpecHashMatched: true },
canConfirmExactMinute: false,
canAcceptRange: false,
gateReasons: ["insufficient_scoreable_events"],
createdAt: now,
};
const diagnostics: DiagnosticsSummary = diagnosticsSummarySchema.parse({
id: "00000000-0000-4000-8000-000000000904",
caseId,
snapshotId,
primaryClusterRetentionRate: 1,
leaveOneEventOutRetentionRate: .8,
leaveOneDomainOutRetentionRate: .7,
dateSensitivityRetentionRate: .9,
neighborSupportMinutes: 3,
primarySecondaryMarginPercent: 12,
clusterMassRatio: .8,
unstableEventIds: [],
mostDiscriminatingLayers: ["D9"],
eventDateSensitivity: [],
candidateSplits: [],
calculationHash: "d".repeat(64),
createdAt: now,
});
const opportunity: QuestionOpportunity = {
contractVersion: "semantic-question-v2",
opportunityId,
kind: "ask_new_event",
domain: "career",
targetEventId: null,
goal: "收集一件有大致日期的职业变化。",
requestedFields: ["new_dated_event"],
anchors: [],
contextFacts: ["职业领域尚未覆盖。"],
forbiddenMoves: ["switch_target_event", "ask_multiple_questions", "claim_exact_birth_minute", "invent_event", "invent_date", "expose_private_score", "expose_internal_id", "expose_technique_trace"],
fallbackPrompt: "请说一件时间比较明确的职业变化经历。",
reason: "领域覆盖不足。",
expectedInformationGain: .8,
dateSensitivity: .5,
candidateSplitRelevance: .5,
domainCoverageGain: 1,
recallEase: .8,
novelty: 1,
repetitionPenalty: 0,
privacyCost: 0,
utility: .85,
active: true,
};
const caseValue: RectificationV4Case = {
id: caseId,
userId: "00000000-0000-4000-8000-000000000905",
protocol: "rectification-evidence-v5",
version: 2,
status: "processing",
phase: "reasoning",
calculationSpec: spec,
calculationSpecHash: calculationSpecHash(spec),
evidenceSetHash: "e".repeat(64),
currentQuestion: null,
latestSnapshot: snapshot,
orchestrationModelId: null,
narrationModelId: null,
skillVersion: "birth-time-rectification-v5",
promptVersion: "rectification-agent-v5-1",
algorithmVersion: "rectification-v5-matrix-scoring-1",
deploymentMode: "v5_agent",
agentMode: "deterministic_fallback",
featureSnapshotId: null,
latestDiagnosticsId: diagnostics.id,
acceptedRange: null,
createdAt: now,
updatedAt: now,
};
function event(overrides: Partial<LifeEventRevision> = {}): LifeEventRevision {
return {
id: randomUUID(),
eventId: randomUUID(),
revision: 1,
domain: "education",
eventKind: "education_milestone",
subject: "self",
relatedPerson: null,
summary: "2016年大学入学",
rawText: "2016年9月大学入学",
dateRange: { start: "2016-09-01", end: "2016-09-30", precision: "month", label: "2016年9月" },
scoreability: "scoreable",
supersedesRevisionId: null,
createdAt: now,
...overrides,
};
}
test("SHA-256 canary assignment is stable and deployment modes are explicit", () => {
assert.equal(rectificationCanaryBucket("user-a"), 98.66510317660868);
assert.equal(selectRectificationDeploymentMode("user-a", { RECTIFICATION_AGENT_V5_ENABLED: "0" }), "v4_legacy");
assert.equal(selectRectificationDeploymentMode("user-a", {
RECTIFICATION_AGENT_V5_ENABLED: "1", RECTIFICATION_AGENT_V5_CANARY_PERCENT: "100", RECTIFICATION_AGENT_V5_SHADOW: "1",
}), "v5_shadow");
assert.equal(selectRectificationDeploymentMode("user-a", {
RECTIFICATION_AGENT_V5_ENABLED: "1", RECTIFICATION_AGENT_V5_CANARY_PERCENT: "100", RECTIFICATION_AGENT_V5_SHADOW: "0",
}), "v5_agent");
assert.equal(selectRectificationDeploymentMode("user-a", {
RECTIFICATION_AGENT_V5_ENABLED: "1", RECTIFICATION_AGENT_V5_CANARY_PERCENT: "10",
}), "v4_legacy");
});
test("opportunities are ordered only by their published utility", () => {
const target = event();
const values = buildQuestionOpportunities({
caseId,
events: [target],
turns: [],
snapshot: null,
diagnostics: null,
});
assert.ok(values.length >= 2);
assert.deepEqual(values.map((value) => value.utility), [...values].map((value) => value.utility).sort((a, b) => b - a));
});
test("a previously asked unresolved target does not monopolize the next-question route", () => {
const target = event();
const values = buildQuestionOpportunities({
caseId,
events: [target, event({ eventId: randomUUID(), domain: "relocation", eventKind: "relocation", summary: "搬家到北京" })],
turns: [],
snapshot: null,
diagnostics: null,
targetDisposition: "unresolved",
retryTargetEventIds: [target.eventId],
});
assert.ok(values.length > 0);
assert.ok(values.every((value) => value.targetEventId !== target.eventId));
});
test("reasoner falls back when unavailable", async () => {
const result = await runBoundedReasoner({ caseValue, snapshot, diagnostics, opportunities: [opportunity] });
assert.equal(result.mode, "deterministic_fallback");
assert.equal(result.fallbackReason, "reasoner_model_unavailable");
assert.equal(result.decision.action, "ask_question");
});
test("reasoner permits one diagnostic, then requires a final action and accumulates usage", async () => {
const phases: string[] = [];
const result = await runBoundedReasoner({
caseValue,
snapshot,
diagnostics,
opportunities: [opportunity],
generateDecision: async (_prompt, phase) => {
phases.push(phase);
return phase === "initial"
? { object: { action: "run_diagnostic", diagnostic: "neighbor_stability" }, totalUsage: { inputTokens: 11, outputTokens: 3 } }
: { object: { action: "ask_question", opportunityId, narrativeFocus: ["candidate_change"] }, totalUsage: Promise.resolve({ inputTokens: 7, outputTokens: 2 }) };
},
});
assert.deepEqual(phases, ["initial", "after_diagnostic"]);
assert.equal(result.mode, "agent");
assert.equal(result.decision.action, "ask_question");
assert.equal(result.toolCalls.length, 1);
assert.equal(result.toolCalls[0]?.outcome, "succeeded");
assert.equal(result.inputTokenCount, 18);
assert.equal(result.outputTokenCount, 5);
});
test("reasoner rejects a second diagnostic and enforces the tool budget", async () => {
const nonfinal = await runBoundedReasoner({
caseValue,
snapshot,
diagnostics,
opportunities: [opportunity],
generateDecision: async () => ({ object: { action: "run_diagnostic", diagnostic: "neighbor_stability" } }),
});
assert.equal(nonfinal.mode, "deterministic_fallback");
assert.equal(nonfinal.fallbackReason, "reasoner_returned_nonfinal_diagnostic");
assert.equal(nonfinal.toolCalls.length, 1);
const exhausted = await runBoundedReasoner({
caseValue,
snapshot,
diagnostics,
opportunities: [opportunity],
maxToolCalls: 0,
generateDecision: async () => ({ object: { action: "run_diagnostic", diagnostic: "neighbor_stability" } }),
});
assert.equal(exhausted.fallbackReason, "diagnostic_budget_exhausted");
assert.equal(exhausted.toolCalls[0]?.outcome, "rejected");
});
test("renderer rejects an unrelated question and falls back to the semantic contract", () => {
const target = event({ summary: "2020年4月研究院实习" });
const targeted: QuestionOpportunity = {
...opportunity,
kind: "refine_event_date",
domain: "career",
targetEventId: target.eventId,
goal: "细化研究院实习日期。",
requestedFields: ["event_day"],
anchors: [target.summary],
contextFacts: ["日期敏感。"],
fallbackPrompt: "关于“2020年4月研究院实习”,你还记得大概哪一天吗?",
};
assert.equal(validateQuestionRealization("你后来有没有搬家?", targeted).valid, false);
const message = realizePublicMessage({
acknowledgement: "你提到的是2020年4月研究院实习。",
candidateUpdate: null,
limitation: null,
question: "你后来有没有搬家?",
}, {
latestAnswer: "2020年4月研究院实习",
acceptedEvents: [target],
pendingEvidence: [],
snapshot: null,
previousSnapshot: null,
validated: {
decision: { action: "ask_question", opportunityId: targeted.opportunityId, narrativeFocus: [] },
mode: "agent",
validationIssues: [],
selectedOpportunity: targeted,
},
});
assert.equal(message.question, targeted.fallbackPrompt);
});
test("agent-run persistence contract carries deployment, tool, token, and latency facts", () => {
const parsed = agentRunSchema.parse({
id: randomUUID(), caseId, jobId: randomUUID(), caseVersion: 2, modelId: "test-model",
skillVersion: "birth-time-rectification-v5", promptVersion: "rectification-agent-v5-1",
deploymentMode: "v5_agent", deploymentSha: "abc123",
decision: { action: "ask_question", opportunityId, narrativeFocus: [] },
validatedDecision: {
decision: { action: "ask_question", opportunityId, narrativeFocus: [] }, mode: "agent", validationIssues: [], selectedOpportunity: opportunity,
},
toolCalls: [{ tool: "run_rectification_diagnostics", diagnostic: "neighbor_stability", outcome: "succeeded", durationMs: 4, errorCode: null }],
fallbackReason: null, inputTokenCount: 18, outputTokenCount: 5, latencyMs: 20, createdAt: now,
});
assert.equal(parsed.toolCalls.length, 1);
assert.equal(parsed.inputTokenCount, 18);
assert.equal(parsed.latencyMs, 20);
});
test("an answer about another event never overwrites the current target and creates a conflict opportunity", () => {
const target = event();
const reconciled = reconcileV4Evidence({
caseId,
answer: "2018年8月搬家到北京",
sourceTurnId: randomUUID(),
asOfDate: "2026-07-28",
existing: [target],
targetEventId: target.eventId,
now: new Date(now),
});
assert.equal(reconciled.unansweredTargetEventId, target.eventId);
assert.equal(reconciled.revisions.some((value) => value.eventId === target.eventId), false);
assert.equal(reconciled.revisions[0]?.eventKind, "relocation");
const opportunities = buildQuestionOpportunities({
caseId,
events: [target, ...reconciled.revisions],
turns: [],
snapshot: null,
diagnostics: null,
targetDisposition: reconciled.targetDisposition,
retryTargetEventIds: [target.eventId],
});
const conflict = opportunities.filter((item) => item.kind === "resolve_event_conflict");
assert.equal(conflict.length, 1);
assert.equal(conflict[0]?.targetEventId, target.eventId);
});
test("unknown target answers are kept in the turn without pending evidence", () => {
const target = event();
const turnId = randomUUID();
const reconciled = reconcileV4Evidence({
caseId,
answer: "我记不清了,可能是那几年之间",
sourceTurnId: turnId,
asOfDate: "2026-07-28",
existing: [target],
targetEventId: target.eventId,
now: new Date(now),
});
assert.equal(reconciled.revisions.length, 0);
assert.equal(reconciled.targetDisposition, "unknown");
assert.equal(reconciled.pending.length, 0);
});
test("shadow mode persists V5 artifacts while preserving the legacy visible reply", async () => {
async function run(mode: "v4_legacy" | "v5_shadow") {
return withV5Mode(mode, async () => {
const store = createRectificationV4MemoryStore();
const service = createRectificationV4CaseService(store, { now: () => new Date(now) });
const worker = createRectificationV4Worker({
store,
now: () => new Date(now),
engine: { score: async ({ calculationSpec, events }) => v5EngineResult(calculationSpec, events) },
});
const userId = randomUUID();
const created = await service.createCase({ userId, actionId: randomUUID(), calculationSpec: spec });
const queued = await service.answer({
userId, caseId: created.case.id, actionId: randomUUID(), expectedCaseVersion: created.case.version,
answer: "2016年9月大学入学",
});
assert.ok(queued?.job);
await worker.runOnce();
const loaded = await service.loadCase(userId, created.case.id);
return {
message: [...store.publicMessages.values()][0],
question: loaded?.case.currentQuestion,
analysis: loaded?.analysis ?? [],
agentRuns: store.agentRuns.size,
};
});
}
const legacy = await run("v4_legacy");
const shadow = await run("v5_shadow");
const visibleMessage = (message: NonNullable<typeof legacy.message>) => ({
acknowledgement: message.acknowledgement,
candidateUpdate: message.candidateUpdate,
limitation: message.limitation,
question: message.question,
});
assert.deepEqual(visibleMessage(shadow.message!), visibleMessage(legacy.message!));
assert.equal(shadow.question?.prompt, legacy.question?.prompt);
assert.deepEqual(legacy.analysis, []);
assert.deepEqual(shadow.analysis, []);
assert.equal(shadow.agentRuns, 1);
});
test("V6 agent conversation follows dated events, respects direction change, and runs the existing V5 engine", async () => {
await withV5Mode("v5_agent", async () => {
const store = createRectificationV4MemoryStore();
const service = createRectificationV4CaseService(store, { now: () => new Date("2026-07-29T00:00:00.000Z") });
let scoreCalls = 0;
const worker = createRectificationV4Worker({
store,
now: () => new Date("2026-07-29T00:00:00.000Z"),
engine: { score: async ({ calculationSpec, events }) => {
scoreCalls += 1;
return v5EngineResult(calculationSpec, events);
} },
});
const userId = randomUUID();
const created = await service.createCase({ userId, actionId: randomUUID(), calculationSpec: spec });
async function answer(value: string) {
const current = await service.loadCase(userId, created.case.id);
assert.ok(current?.case.currentQuestion);
const queued = await service.answer({
userId,
caseId: created.case.id,
actionId: randomUUID(),
expectedCaseVersion: current.case.version,
answer: value,
});
assert.ok(queued?.job);
assert.equal(await worker.runOnce(), true);
const loaded = await service.loadCase(userId, created.case.id);
assert.ok(loaded);
return loaded;
}
const first = await answer("2020 年 4 月去石油化工研究院实习做研究员。");
const firstEvent = first.events.find((event) => event.summary.includes("石油化工研究院实习做研究员"));
assert.deepEqual(
firstEvent && [firstEvent.domain, firstEvent.subject, firstEvent.dateRange.precision, firstEvent.scoreability],
["career", "self", "month", "scoreable"],
);
assert.doesNotMatch(first.case.currentQuestion?.prompt ?? "", /哪一天|几号|具体日期/);
const firstMessage = [...store.publicMessages.values()].at(-1);
assert.doesNotMatch(firstMessage?.acknowledgement ?? "", /已记录|我记下了|职业方向正式落地/);
assert.match(firstMessage?.acknowledgement ?? "", /研究院实习/);
const second = await answer("2016 年 9 月离家去外地上大学。");
assert.ok(second.events.some((event) => event.domain === "education" && event.dateRange.precision === "month"));
assert.doesNotMatch(second.case.currentQuestion?.prompt ?? "", /^请说一次搬家/);
assert.ok(!second.case.currentQuestion?.targetEventId || /离家去外地上大学/.test(second.case.currentQuestion.prompt));
const pendingBefore = store.pendingEvidence.size;
const third = await answer("后来有一次搬家,但我记不清时间了,换一个吧。");
assert.equal(store.pendingEvidence.size, pendingBefore);
assert.equal(third.events.filter((event) => event.domain === "relocation").length, 0);
assert.doesNotMatch(third.case.currentQuestion?.prompt ?? "", /搬家.*(?:时间|日期|月份)|(?:时间|日期|月份).*搬家/);
const fourth = await answer("2023 年 9 月开始负责一家商业巡演经纪公司。");
assert.ok(fourth.events.some((event) => event.domain === "career" && event.summary.includes("商业巡演经纪公司")));
assert.equal(scoreCalls, 1);
assert.ok(store.diagnostics.size > 0);
assert.equal(fourth.case.latestSnapshot?.robustness.leaveOneDomainOutRetentionRate, 1);
assert.equal(fourth.case.latestSnapshot?.canConfirmExactMinute, false);
assert.equal(fourth.case.algorithmVersion, "rectification-v5-matrix-scoring-1");
const finalMessage = [...store.publicMessages.values()].at(-1);
assert.doesNotMatch(`${finalMessage?.candidateUpdate ?? ""}${finalMessage?.limitation ?? ""}`, /唯一分钟|准确分钟|代表分钟|05:13/);
});
});