import assert from "node:assert/strict";
import { randomUUID } from "node:crypto";
import { spawnSync } from "node:child_process";
import { fileURLToPath } from "node:url";
import { closeLocalPostgresDataPool, createLocalPostgresDataClient } from "../src/lib/db/local-postgres-client-core.ts";
import { resolveActiveSkillPackage } from "../src/lib/skill-package-registry.ts";
import { publicNextAction } from "../src/lib/rectification-agentic/core/rectification-decision.ts";
import { rawMinuteWeights, segmentsForMinutes, summarizeSegmentWeights, targetChartsForDomain } from "../src/lib/rectification-agentic/core/segment-summary.ts";
import { applyRectificationChoice, inferenceForPersistedAnswer, persistNextInterviewAfterChoice } from "../src/lib/rectification-agentic/v9/answer-choice.ts";
import { CHOICE_ACTION, outcomeIdForOption } from "../src/lib/rectification-agentic/v9/choice-action.ts";
import type { ChoiceKey } from "../src/lib/rectification-agentic/v9/choice-card.ts";
import { decideAfterInferenceChange, rectificationFollowupCatalog } from "../src/lib/rectification-agentic/v9/decision-from-dossier.ts";
import type { EvidenceKind } from "../src/lib/rectification-agentic/v9/evidence-model.ts";
import { resolveRectificationProductDomain } from "../src/lib/rectification-agentic/v9/product-domain.ts";
import { scoreAndPersistCurrentEvidence } from "../src/lib/rectification-agentic/v9/score-persist.ts";
import { confirmV9Evidence, loadV9CaseDossier, proposeV9Evidence } from "../src/lib/rectification-agentic/v9/tool-service.ts";
import { startPostgresFixture } from "../tests/helpers/postgres-fixture.ts";
import { segmentReplayOracleAnswer } from "./rectification-segment-oracle.ts";

// Fictional owned Case seeds only. Production turn/evidence/choice calls are
// never replaced by fixture inserts, including when the original ACL refuses.
type ReplayRow = {
  case_key: string; radius: number; oracle_truth_minute: string;
  snapshot: Record<string, unknown> & { birth_date: string; reported_birth_time: string };
  range: { start_time: string; end_time: string };
  events: { event_kind: EvidenceKind; domain: string; date_start: string; date_end: string; precision: string; summary: string }[];
};
const chunks: Buffer[] = [];
for await (const chunk of process.stdin) chunks.push(Buffer.from(chunk));
const input = JSON.parse(Buffer.concat(chunks).toString("utf8")) as { rows: ReplayRow[] };
const records: Record<string, unknown>[] = [];
const previousOrder = process.env.RECTIFICATION_SEGMENT_ORDER;
const quote = (value: unknown) => `'${String(value).replaceAll("'", "''")}'`;
const fixture = startPostgresFixture();
const url = fixture.connectionUrl("service_runtime", "service-runtime-test-password");
const authenticatedUrl = fixture.connectionUrl("app_runtime", "app-runtime-test-password");
let fatal: string | null = null;
try {
  const migrated = spawnSync(process.execPath, [fileURLToPath(new URL("./db-migrate.mjs", import.meta.url))], {
    encoding: "utf8", env: { ...process.env, SCHEMA_DATABASE_URL: fixture.connectionUrl("schema_owner", "schema-owner-test-password") },
  });
  assert.equal(migrated.status, 0, migrated.stderr);
  const service = createLocalPostgresDataClient(url, null, "service_role");
  const skill = resolveActiveSkillPackage("jyotish-birth-time-rectification");
  for (const row of input.rows) {
    for (const enabled of [false, true]) {
      process.env.RECTIFICATION_SEGMENT_ORDER = enabled ? "on" : "off";
      const userId = randomUUID(), caseId = randomUUID(), sessionId = randomUUID(), sourceSessionId = randomUUID();
      const trace: Record<string, unknown> = { case_key: row.case_key, radius: row.radius,
        ordering: enabled ? "on-experiment" : "off-default", opening: "explicit-fictional-case-seed-not-opening-success",
        asked: [], gates: [], stop: null, stage: "seed", metrics: null };
      const ledger = () => JSON.parse(fixture.psql(`select json_build_object(
        'turns',(select count(*) from public.agentic_rectification_turns where case_id=${quote(caseId)}),
        'evidence',(select count(*) from public.agentic_rectification_evidence where case_id=${quote(caseId)}),
        'results',(select count(*) from public.agentic_rectification_results where case_id=${quote(caseId)}),
        'actions',(select count(*) from public.agentic_rectification_choice_actions where case_id=${quote(caseId)}),
        'transitions',(select count(*) from public.agentic_rectification_inference_transitions where case_id=${quote(caseId)}))`));
      try {
        fixture.psqlAs("identity_runtime", "identity-runtime-test-password", `insert into identity.users(id,name,email,email_verified)
          values(${quote(userId)},'Fictional Public Replay Owner',${quote(`${userId}@example.invalid`)},true)`);
        const snapshot = row.snapshot;
        fixture.psql(`update public.profiles set birth_date=${quote(snapshot.birth_date)},reported_birth_time=${quote(snapshot.reported_birth_time)},
          birth_time_source='approximate',birth_time_status='reported',uncertainty_before_minutes=${row.radius},uncertainty_after_minutes=${row.radius},
          latitude=${Number(snapshot.latitude)},longitude=${Number(snapshot.longitude)},timezone_offset=${Number(snapshot.timezone_offset)},
          timezone_id=${snapshot.timezone_id ? quote(snapshot.timezone_id) : "null"} where id=${quote(userId)};
          insert into public.chat_sessions(id,user_id,title,theme,session_type,messages) values
          (${quote(sourceSessionId)},${quote(userId)},'Fictional replay source','general','consultation','[]'),
          (${quote(sessionId)},${quote(userId)},'Fictional persisted replay','general','birth_time_rectification','[]')`);
        // Match POST /cases/open: owned source reads use the authenticated
        // session client; the accounting client is reserved for Case RPCs.
        const authenticated = createLocalPostgresDataClient(authenticatedUrl, { id: userId, email: null }, "authenticated");
        const domain = await resolveRectificationProductDomain(
          authenticated as unknown as Parameters<typeof resolveRectificationProductDomain>[0], userId,
          { intent: "homepage", sourceSessionId, requestId: randomUUID() },
        );
        fixture.psql(`insert into public.agentic_rectification_cases(id,user_id,session_id,status,skill_name,skill_version,skill_sha256,skill_source_commit,
          baseline_profile_fingerprint,baseline_birth_snapshot,candidate_range,rectification_domain) values
          (${quote(caseId)},${quote(userId)},${quote(sessionId)},'collecting_evidence',${quote(skill.name)},${quote(skill.version)},${quote(skill.sha256)},
          ${skill.sourceCommit ? quote(skill.sourceCommit) : "null"},${quote("a".repeat(64))},${quote(JSON.stringify(snapshot))},${quote(JSON.stringify(row.range))},${quote(domain)})`);
        const seeded = await loadV9CaseDossier(service, userId, caseId);
        assert.equal(seeded.case.rectificationDomain, domain);
        trace.domain = seeded.case.rectificationDomain;
        trace.targets = targetChartsForDomain(seeded.case.rectificationDomain);
        trace.stage = "append_turn_v10";
        trace.ledger_before = ledger();
        // Same V10 request-idempotent overload as agent-run-prepare.ts; the V9 overload is revoked from service_role.
        const appended = await service.rpc("append_agentic_rectification_turn", { p_user_id: userId, p_case_id: caseId,
          p_user_message: row.events.map(event => event.summary).join("; "), p_assistant_message: null,
          p_model_name: "public-benchmark-oracle-not-provider", p_model_version: null, p_status: "pending", p_request_id: randomUUID() });
        assert.equal(appended.error, null, JSON.stringify(appended.error));
        const turn = { turnId: (appended.data as { turn_id: string }).turn_id };
        trace.stage = "evidence";
        for (const event of row.events) {
          const proposed = await proposeV9Evidence(service, userId, caseId, {
            sourceTurnId: turn.turnId, quote: event.summary, subject: event.domain === "family" ? "family" : "self",
            eventKind: event.event_kind, domain: event.domain, occurredFrom: event.date_start, occurredTo: event.date_end,
            datePrecision: event.precision, summary: event.summary,
          });
          assert.equal(proposed.outcome, "accepted", proposed.errorCode ?? "evidence rejected");
          assert.ok(proposed.evidenceId);
          await confirmV9Evidence(service, userId, caseId, proposed.evidenceId);
        }
        trace.stage = "scoreAndPersistCurrentEvidence";
        await scoreAndPersistCurrentEvidence({ accounting: service, userId, caseId });
        for (let round = 0; round < 6; round++) {
          let dossier = await loadV9CaseDossier(service, userId, caseId);
          const state = inferenceForPersistedAnswer(dossier.latestResult?.decisionReceipt);
          const decision = decideAfterInferenceChange({ dossier, state, userStopped: false, birthDate: snapshot.birth_date });
          const catalog = rectificationFollowupCatalog(dossier.latestResult, dossier.evidence);
          (trace.gates as unknown[]).push({ round, session_outcome: decision.sessionOutcome,
            stop_reason: decision.stopReason ?? null, next_action: publicNextAction(decision), revision: state?.revision ?? null,
            eligible_event_keys: catalog.eventProbes.map(probe => probe.semantic_key).sort(),
            contrast_keys: catalog.contrastPacket?.probes.map(probe => probe.semanticKey).sort() ?? [] });
          trace.stage = "persistNextInterviewAfterChoice";
          const interview = await persistNextInterviewAfterChoice({ accounting: service, userId, caseId, dossier,
            decisionState: state, decision, nextAction: publicNextAction(decision), birthDate: snapshot.birth_date,
            askedTurnId: turn.turnId });
          if (!interview.choiceReady || interview.terminalNote) {
            trace.stop = interview.terminalNote ? "production-terminal" : "production-no-renderable-choice";
            break;
          }
          dossier = await loadV9CaseDossier(service, userId, caseId);
          const focus = dossier.conversationSummary.activeFocus;
          assert.ok(focus);
          const ownedState = inferenceForPersistedAnswer(dossier.latestResult?.decisionReceipt);
          const schema = focus.expectedAnswerSchema;
          const probe = ownedState?.probes.find(probe => probe.id === schema.probe_id);
          if (!probe) {
            trace.stop = "oracle-missing-for-production-focus";
            (trace.gates as unknown[]).push({ intent: focus.intent, source: interview.followup?.source ?? null,
              choice_kind: schema.choice_kind ?? null, scoring: schema.scoring !== false });
            break;
          }
          const answerClass = segmentReplayOracleAnswer(probe, row.oracle_truth_minute, ownedState?.transitions);
          const choice = schema.choice as { options?: { key: ChoiceKey }[] } | undefined;
          const option = choice?.options?.find(option => outcomeIdForOption(option.key, schema) === answerClass);
          if (!option) { trace.stop = "oracle-no-renderable-class-option"; break; }
          const before = ledger();
          trace.stage = "applyRectificationChoice";
          const applied = await applyRectificationChoice(service, { userId, caseId, sessionId, actionId: randomUUID(),
            action: CHOICE_ACTION, focusId: focus.id, optionId: option.key, expectedRevision: ownedState!.revision, deferFollowup: true });
          assert.equal(applied.applied, true);
          const reloaded = await loadV9CaseDossier(service, userId, caseId);
          const afterState = inferenceForPersistedAnswer(reloaded.latestResult?.decisionReceipt);
          (trace.asked as unknown[]).push({ round, semantic_key: probe.semantic_key, optionId: option.key,
            answer_class: outcomeIdForOption(option.key, schema), source: probe.source, choice_kind: schema.choice_kind,
            scoring: schema.scoring !== false, ledger_before: before, ledger_after: ledger(),
            revision_before: ownedState!.revision, revision_after: afterState?.revision ?? null });
          assert.equal(afterState?.revision, ownedState!.revision + 1);
          if (round === 5) trace.stop = "six-question-budget";
        }
        const final = await loadV9CaseDossier(service, userId, caseId);
        const state = inferenceForPersistedAnswer(final.latestResult?.decisionReceipt);
        if (state?.segment_minutes?.length) {
          const offsets = Object.fromEntries(state.segment_minutes.map(minute => [minute.time, minute.offset]));
          const truthOffset = offsets[row.oracle_truth_minute];
          assert.notEqual(truthOffset, undefined);
          const weights = rawMinuteWeights(state.candidates.map(candidate => ({ time: candidate.time,
            score: candidate.raw_posterior_score ?? 0, cluster_times: candidate.cluster_times, eliminated: candidate.raw_eliminated })));
          trace.metrics = Object.fromEntries((["D9", "D10"] as const).map(chart => [chart,
            summarizeSegmentWeights(weights, segmentsForMinutes(state.segment_minutes!, [chart]), offsets, truthOffset)]));
        }
        trace.stage = "completed";
        trace.ledger_after = ledger();
      } catch (error) {
        trace.stop = "blocked";
        trace.error = error instanceof Error ? error.message : "unknown_error";
        trace.ledger_after = ledger();
      }
      records.push(trace);
    }
  }
} catch (error) {
  fatal = error instanceof Error ? error.message : "runner_failure";
} finally {
  if (previousOrder === undefined) delete process.env.RECTIFICATION_SEGMENT_ORDER;
  else process.env.RECTIFICATION_SEGMENT_ORDER = previousOrder;
  await closeLocalPostgresDataPool(url);
  await closeLocalPostgresDataPool(authenticatedUrl);
  fixture.stop();
}
const aggregate = Object.fromEntries([...new Set(input.rows.map(row => row.radius))].flatMap(radius =>
  ["off-default", "on-experiment"].map(ordering => {
    const rows = records.filter(row => row.radius === radius && row.ordering === ordering);
    const measured = rows.filter(row => row.metrics !== null);
    const metrics = Object.fromEntries((["D9", "D10"] as const).map(chart => {
      const values = measured.map(row => (row.metrics as Record<string, { truth_retained: boolean; top_is_truth: boolean }>)[chart]!);
      return [chart, { measured: values.length, truth_kept: values.filter(value => value.truth_retained).length,
        top_hit: values.filter(value => value.top_is_truth).length }];
    }));
    return [`${radius}:${ordering}`, { attempted: rows.length, measured: measured.length,
      blocked: rows.filter(row => row.stop === "blocked").length,
      asked: rows.reduce((total, row) => total + (row.asked as unknown[]).length, 0),
      completed_six: rows.filter(row => (row.asked as unknown[]).length === 6).length, metrics,
      redline_status: measured.length === 77 ? "requires-independent-cell-comparison" : "not-evaluable" }];
  })));
const blocked = fatal !== null || records.some(row => row.stop === "blocked" || row.metrics === null);
process.stdout.write(JSON.stringify({ scope: "explicit-seeded persisted replay; off-default vs on-experiment; no opening success or provider claim",
  fatal, records, aggregate, blocked, distinct_cases: new Set(input.rows.map(row => row.case_key)).size,
  requested_traces: input.rows.length * 2, completed_six: records.filter(row => (row.asked as unknown[]).length === 6).length }) + "\n");
process.exitCode = blocked ? 1 : 0;