/**
 * BUG-1057 (TASK-rectification-grounding-20260927 T3, red line 3): the
 * turn-decision read-case is the model's only conversation memory (the model
 * messages carry no history). With 9 candidates it used to exceed 6 KB and
 * clear `recent_turns` and `relevant_evidence_summary` first. Now candidates
 * carry time / score / status / cluster_range only, the duplicate
 * `candidate_summary.candidates` is gone, and over budget the candidate detail
 * goes before the conversation.
 *
 * Fixture: a real local engine response for a public AA chart (9 candidates).
 */
import assert from "node:assert/strict";
import test from "node:test";
import {
  CASE_ID,
  TURN_ID,
  USER_ID,
  dossierFixture,
  fakeAccounting,
  receiptHandlers,
} from "./rectification-v9-test-support.ts";
import {
  AA_EVIDENCE_ROWS,
  AA_RANGE,
  buildGoldenLatest,
  setFocusHandler,
  stubGoldenFetch,
} from "./rectification-grounding-support.ts";
import { createRectificationV9Tools } from "../src/mastra/rectification-v9-tools.ts";
import {
  TURN_DECISION_CANDIDATE_FIELDS,
  TURN_DECISION_MAX_BYTES,
  enforceTurnDecisionBudget,
  turnDecisionByteLength,
} from "../src/lib/rectification-agentic/v9/turn-decision.ts";

const SIX_TURNS = [
  ["user", "2000 年拿了一个很重要的表演奖，那一年整个人的事业一下子起来了，很多人开始找我合作。"],
  ["assistant", "记下了：2000 年获奖。"],
  ["user", "2013 年做了一次预防性的大手术，前后休养了大半年，那年身体状态很差。"],
  ["assistant", "记下了：2013 年做手术。"],
  ["user", "2014 年 8 月结婚，是在法国办的婚礼，家里人都去了，算是那几年最大的一件事。"],
  ["assistant", "记下了：2014 年 8 月结婚。"],
].map(([role, text], index) => ({
  id: `77777777-7777-4777-8777-77777777777${index}`,
  role,
  text,
  status: "completed",
  created_at: `2026-08-12T10:0${index}:00.000Z`,
  completed_at: `2026-08-12T10:0${index}:05.000Z`,
}));

async function readCaseFor(turns: unknown[]) {
  const { latest, compute } = await buildGoldenLatest();
  const restore = stubGoldenFetch();
  try {
    const accounting = fakeAccounting({
      ...receiptHandlers,
      get_agentic_rectification_case_dossier: () => dossierFixture({
        evidence: AA_EVIDENCE_ROWS,
        latestResult: latest,
        turns: turns as never,
        candidateRange: AA_RANGE as never,
      }),
      get_agentic_rectification_case_compute: () => compute,
      set_agentic_rectification_conversation_focus: setFocusHandler,
    }, { fallback: () => null });
    const tools = createRectificationV9Tools({
      userId: USER_ID,
      caseId: CASE_ID,
      turnId: TURN_ID,
      userMessage: "2014 年结婚",
      accounting: accounting.client as never,
    }) as unknown as Record<string, { execute(input: unknown): Promise<Record<string, unknown>> }>;
    const readCase = await tools["rectification-read-case"].execute({ caseId: CASE_ID });
    return { readCase, candidateCount: latest.candidates.length };
  } finally {
    restore();
  }
}

test("red line 3: 9 candidates and six turns keep recent_turns and relevant_evidence_summary", async () => {
  const { readCase, candidateCount } = await readCaseFor(SIX_TURNS);
  assert.equal(candidateCount, 9);
  assert.ok(turnDecisionByteLength(readCase) <= TURN_DECISION_MAX_BYTES);
  assert.equal(readCase.truncated, undefined);
  const turns = readCase.recent_turns as Array<{ role: string; text: string }>;
  assert.equal(turns.length, 6);
  assert.match(turns[4].text, /2014 年 8 月结婚/);
  const evidence = readCase.relevant_evidence_summary as unknown[];
  assert.equal(evidence.length, 3);
  const inference = readCase.inference as { candidates: Array<Record<string, unknown>> };
  assert.equal(inference.candidates.length, 9);
  for (const candidate of inference.candidates) {
    assert.deepEqual(Object.keys(candidate), [...TURN_DECISION_CANDIDATE_FIELDS]);
    assert.match(String(candidate.time), /^\d{2}:\d{2}$/);
  }
  const summary = readCase.candidate_summary as Record<string, unknown>;
  assert.equal("candidates" in summary, false);
  const text = JSON.stringify(readCase);
  assert.doesNotMatch(text, /cluster_intervals|window_offset_minutes|posterior_score|candidate_date/);
  console.log(JSON.stringify({ scope: "BUG-1057 read-case size", bytes: turnDecisionByteLength(readCase) }));
});

test("red line 3: over budget, candidate detail goes before recent turns and evidence", () => {
  const clock = (index: number) => `${String(4 + Math.floor(index / 60)).padStart(2, "0")}:${String(index % 60).padStart(2, "0")}`;
  const candidates = Array.from({ length: 200 }, (_, index) => ({
    time: clock(index),
    score: index === 7 ? 0.5 : 0.01,
    status: index % 3 === 0 ? "eliminated" : "active",
    cluster_range: [clock(index), clock(index)],
  }));
  const turns = Array.from({ length: 6 }, (_, index) => ({ role: index % 2 ? "assistant" : "user", text: `第 ${index} 句话`.repeat(10) }));
  const evidence = Array.from({ length: 6 }, (_, index) => ({ domain: "career", summary: `事件 ${index}`.repeat(8) }));
  const payload = {
    projection: "turn_decision",
    inference: { credible_range: ["05:00", "05:39"], candidates },
    recent_turns: turns,
    relevant_evidence_summary: evidence,
  };
  assert.ok(turnDecisionByteLength(payload) > TURN_DECISION_MAX_BYTES);
  const trimmed = enforceTurnDecisionBudget(payload);
  assert.ok(turnDecisionByteLength(trimmed) <= TURN_DECISION_MAX_BYTES);
  assert.deepEqual(trimmed.recent_turns, turns);
  assert.deepEqual(trimmed.relevant_evidence_summary, evidence);
  assert.equal(trimmed.truncated, undefined);
  const kept = (trimmed.inference as { candidates: Array<Record<string, unknown>>; candidates_omitted?: number });
  assert.ok(kept.candidates.every((candidate) => !("cluster_range" in candidate)));
  assert.ok(kept.candidates.length < 200);
  assert.equal(kept.candidates[0]?.time, "04:07");
  assert.ok(kept.candidates.every((candidate) => candidate.status === "active"));
  assert.equal(kept.candidates_omitted, 200 - kept.candidates.length);
});

test("red line 3: first budget step only drops cluster ranges; every candidate and turn stays", () => {
  const clock = (index: number) => `${String(4 + Math.floor(index / 60)).padStart(2, "0")}:${String(index % 60).padStart(2, "0")}`;
  const candidates = Array.from({ length: 90 }, (_, index) => ({
    time: clock(index),
    score: 0.01,
    status: "active",
    cluster_range: [clock(index), clock(index)],
  }));
  const turns = [{ role: "user", text: "2014 年 8 月结婚。" }];
  const payload = { inference: { candidates }, recent_turns: turns, relevant_evidence_summary: [] };
  assert.ok(turnDecisionByteLength(payload) > TURN_DECISION_MAX_BYTES);
  const trimmed = enforceTurnDecisionBudget(payload);
  const kept = trimmed.inference as { candidates: Array<Record<string, unknown>>; candidates_omitted?: number };
  assert.equal(kept.candidates.length, 90);
  assert.equal(kept.candidates_omitted, undefined);
  assert.ok(kept.candidates.every((candidate) => !("cluster_range" in candidate)));
  assert.deepEqual(trimmed.recent_turns, turns);
});