import assert from "node:assert/strict";
import test from "node:test";

import {
  buildCandidateContrastPacket,
  selectDiscriminatorProbe,
} from "../src/lib/rectification-agentic/core/candidate-contrast-packet.ts";
import { evaluateCandidateSeparation } from "../src/lib/rectification-agentic/core/candidate-separation.ts";
import { decideNextAction } from "../src/lib/rectification-agentic/core/decide-next-action.ts";
import {
  classifySnapshotStaleReason,
  scoreableSnapshotIsCurrent,
  snapshotIsCurrent,
  type CandidateSnapshotSource,
} from "../src/lib/rectification-agentic/core/snapshot-source.ts";
import { evidenceLedgerFingerprint } from "../src/lib/rectification-agentic/v9/tool-service.ts";
import { buildSkillVerificationReport } from "../src/lib/rectification-agentic/v9/skill-verification-report.ts";

const TIED = [
  { id: "c0", time: "05:00", score: 34 },
  { id: "c1", time: "05:01", score: 33 },
  { id: "c2", time: "05:02", score: 33 },
];

const SEPARATED = [
  { id: "c0", time: "05:00", score: 62 },
  { id: "c1", time: "05:01", score: 22 },
  { id: "c2", time: "05:02", score: 16 },
];

const CONTRAST_PROBE = selectDiscriminatorProbe(buildCandidateContrastPacket({
  candidateSetVersion: "05:00-05:02:05:00,05:01,05:02",
  calculationResultId: "11111111-1111-4111-8111-111111111111",
  engineProbes: [{
    semantic_key: "career.2018.dasha_activation",
    candidate_split_hash: "career:2018:05:00|05:01",
    domain: "career",
    year: 2018,
    user_meaning: "2018 年前后是否职责明显加重？",
    information_gain: 0.21,
    expected_outcomes: [
      { answer_class: "yes", supports: ["05:00"], conflicts: ["05:01", "05:02"] },
      { answer_class: "no", supports: ["05:01"], conflicts: ["05:00"] },
    ],
  }],
  vargaDifferences: [{ layer: "d10", signs: ["巨蟹", "狮子", "处女"] }],
}));

function source(overrides: Partial<CandidateSnapshotSource> = {}): CandidateSnapshotSource {
  return {
    birthProfileFingerprint: "birth-a",
    scoreableEvidenceFingerprint: "score-a",
    inferenceRevision: 3,
    candidateSetVersion: "set-a",
    scoringPolicyVersion: "policy-v2",
    ...overrides,
  };
}

test("does not adopt when method coverage is complete but candidates remain tied", () => {
  const next = decideNextAction({
    methodCoverageAll: true,
    proposeAllowed: true,
    candidateScores: TIED,
    discriminatorProbe: CONTRAST_PROBE,
  });
  assert.equal(next.type, "ask_candidate_discriminator");
  assert.equal(next.separation.status, "not_separated");
  assert.ok((next.probe?.expectedOutcomes.length ?? 0) >= 2);
});

test("tied candidates prefer a discriminator probe with at least two predicted outcomes", () => {
  const next = decideNextAction({
    methodCoverageAll: true,
    proposeAllowed: true,
    candidateScores: TIED,
    discriminatorProbe: CONTRAST_PROBE,
  });
  assert.equal(next.type, "ask_candidate_discriminator");
  assert.ok((next.probe?.expectedOutcomes.length ?? 0) >= 2);
});

test("holdout that has not passed cannot enter ready_to_adopt", () => {
  const next = decideNextAction({
    methodCoverageAll: true,
    proposeAllowed: true,
    candidateScores: SEPARATED,
    holdoutValidation: "not_started",
  });
  assert.equal(next.type, "ask_holdout_validation");
  assert.notEqual(next.type, "ready_to_adopt");
});

test("separated candidates with holdout passed are ready to adopt", () => {
  const next = decideNextAction({
    methodCoverageAll: true,
    proposeAllowed: true,
    candidateScores: SEPARATED,
    holdoutValidation: "passed",
  });
  assert.equal(next.type, "ready_to_adopt");
});

test("missing method coverage stays in fact collection even if scores look separated", () => {
  const next = decideNextAction({
    methodCoverageAll: false,
    proposeAllowed: true,
    candidateScores: SEPARATED,
    discriminatorProbe: CONTRAST_PROBE,
  });
  assert.equal(next.type, "ask_fact_collection");
});

test("D9/D10 sign differences synthesize a contrast probe when engine probes are empty", () => {
  const packet = buildCandidateContrastPacket({
    candidateSetVersion: "set-a",
    calculationResultId: "22222222-2222-4222-8222-222222222222",
    vargaDifferences: [
      { layer: "d9", signs: ["天秤", "天蝎", "射手"] },
      { layer: "d10", signs: ["巨蟹", "狮子", "处女"] },
    ],
  });
  const probe = selectDiscriminatorProbe(packet);
  assert.ok(probe);
  assert.ok(probe.expectedOutcomes.length >= 2);
  assert.equal(probe.sourceFeatures[0]?.calculationResultId, "22222222-2222-4222-8222-222222222222");
  assert.match(probe.question, /职业前事|事业盘/);
});

test("non-scoreable occupation note does not change the scoreable evidence fingerprint", () => {
  const dated = [{
    id: "aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaa1",
    status: "confirmed" as const,
    eventKind: "business_start",
    domain: "career",
    occurredFrom: "2026-07-19",
    occurredTo: null,
    datePrecision: "day" as const,
    summary: "注册公司",
  }];
  const withNote = [...dated, {
    id: "aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaa2",
    status: "confirmed" as const,
    eventKind: "occupation_note",
    domain: "occupation",
    occurredFrom: null,
    occurredTo: null,
    datePrecision: "unknown" as const,
    summary: "长期一直是程序员",
  }];
  const before = evidenceLedgerFingerprint(dated as never);
  const after = evidenceLedgerFingerprint(withNote as never);
  assert.equal(after, before);
  const snapshot = source({ scoreableEvidenceFingerprint: before });
  const current = source({ scoreableEvidenceFingerprint: after, inferenceRevision: snapshot.inferenceRevision });
  assert.equal(snapshotIsCurrent(snapshot, current), true);
  assert.equal(scoreableSnapshotIsCurrent(snapshot, current), true);
});

test("scoreable occupation evidence requires a new inference revision", () => {
  const before = source();
  const afterScoreable = source({
    scoreableEvidenceFingerprint: "score-b",
    inferenceRevision: before.inferenceRevision + 1,
  });
  assert.equal(classifySnapshotStaleReason(before, afterScoreable), "scoreable_evidence_changed");
  assert.equal(afterScoreable.inferenceRevision, before.inferenceRevision + 1);
});

test("candidate cards must be created from the current inference and scoreable revisions", () => {
  const current = source({ inferenceRevision: 4 });
  const card = source({ inferenceRevision: 3 });
  assert.equal(classifySnapshotStaleReason(card, current), "inference_revision_changed");
  const matching = source({ inferenceRevision: 4 });
  assert.equal(snapshotIsCurrent(matching, current), true);
});

test("stale reasons distinguish birth profile from scoreable evidence", () => {
  const current = source();
  assert.equal(
    classifySnapshotStaleReason(source({ birthProfileFingerprint: "birth-b" }), current),
    "birth_profile_changed",
  );
  assert.equal(
    classifySnapshotStaleReason(source({ scoreableEvidenceFingerprint: "score-b" }), current),
    "scoreable_evidence_changed",
  );
  assert.equal(
    classifySnapshotStaleReason(source({ candidateSetVersion: "set-b" }), current),
    "candidate_set_superseded",
  );
});

test("34/33/33 is a tie, not a recommended winner", () => {
  const separation = evaluateCandidateSeparation(TIED);
  assert.equal(separation.status, "not_separated");
  assert.equal(separation.sufficient, false);
  assert.deepEqual(separation.credibleRange, ["05:00", "05:01", "05:02"]);
  assert.equal(separation.representativeTime, "05:00");
});

test("final report does not claim executed techniques without calculationResultId", () => {
  const report = buildSkillVerificationReport({
    representativeTime: "05:00",
    widthMinutes: 3,
    candidates: [
      { time: "05:00", rank: 1, relativeSupport: 34 },
      { time: "05:01", rank: 2, relativeSupport: 33 },
      { time: "05:02", rank: 3, relativeSupport: 33 },
    ],
    separation: evaluateCandidateSeparation(TIED),
    techniqueAuditTable: [
      { technique: "D9", status: "executed", note: "no id" },
      { technique: "D10", status: "executed", note: "has id", calculation_result_id: "33333333-3333-4333-8333-333333333333" },
    ],
    eventFitRate: {
      matched: 8,
      total: 9,
      percent: 89,
      label: "8/9",
      user_meaning: "这段时间窗对已收事件有一定解释力",
      unique_minute_claim: false,
    },
  });
  assert.match(report, /基本并列/);
  assert.match(report, /事件拟合程度，不是候选区分程度/);
  assert.match(report, /\| D9 \| input_covered \|/);
  assert.match(report, /\| D10 \| executed \|/);
  assert.doesNotMatch(report, /当前推荐/);
});