import fs from "node:fs";
import os from "node:os";
import path from "node:path";
import { afterEach, beforeEach, describe, expect, it } from "vitest";
import {
  onInternalDiagnosticEvent,
  resetDiagnosticEventsForTest,
  type DiagnosticEventPayload,
} from "../infra/diagnostic-events.js";
import { resetLogger, setLoggerOverride } from "../logging/logger.js";
import { createTalkLogRecord, recordTalkLogEvent } from "./logging.js";
import { recordTalkObservabilityEvent } from "./observability.js";
import { createTalkEventSequencer } from "./talk-events.js";

function flushDiagnosticEvents() {
  return new Promise<void>((resolve) => setImmediate(resolve));
}

describe("talk logging", () => {
  let tmpDir: string;
  let logFile: string;

  beforeEach(() => {
    tmpDir = fs.mkdtempSync(path.join(os.tmpdir(), "openclaw-talk-logs-"));
    logFile = path.join(tmpDir, "openclaw.log");
    resetDiagnosticEventsForTest();
    resetLogger();
    setLoggerOverride({ level: "info", file: logFile });
  });

  afterEach(() => {
    resetDiagnosticEventsForTest();
    setLoggerOverride(null);
    resetLogger();
    fs.rmSync(tmpDir, { recursive: true, force: true });
  });

  it("emits bounded lifecycle log records without transcript text or scoped ids", async () => {
    const logs: Array<Extract<DiagnosticEventPayload, { type: "log.record" }>> = [];
    const unsubscribe = onInternalDiagnosticEvent((event) => {
      if (event.type === "log.record") {
        logs.push(event);
      }
    });
    const events = createTalkEventSequencer({
      sessionId: "talk-session",
      mode: "realtime",
      transport: "gateway-relay",
      brain: "agent-consult",
      provider: "openai",
    });
    const talkEvent = events.next({
      type: "output.text.done",
      turnId: "turn-1",
      callId: "call-1",
      itemId: "item-1",
      final: true,
      payload: {
        text: "private transcript should not be logged",
        durationMs: 42,
      },
    });

    expect(createTalkLogRecord(talkEvent)).toEqual({
      level: "info",
      message: "talk event output.text.done",
      attributes: {
        sessionId: "talk-session",
        talkEventType: "output.text.done",
        talkMode: "realtime",
        talkTransport: "gateway-relay",
        talkBrain: "agent-consult",
        talkProvider: "openai",
        talkFinal: true,
        talkDurationMs: 42,
      },
    });

    recordTalkLogEvent(talkEvent);
    await flushDiagnosticEvents();
    unsubscribe();

    expect(logs).toHaveLength(1);
    expect(logs[0]).toMatchObject({
      type: "log.record",
      level: "INFO",
      message: "talk event output.text.done",
      attributes: {
        subsystem: "talk",
        sessionId: "talk-session",
        talkEventType: "output.text.done",
        talkMode: "realtime",
        talkTransport: "gateway-relay",
        talkBrain: "agent-consult",
        talkProvider: "openai",
        talkFinal: true,
        talkDurationMs: 42,
      },
    });
    const serialized = JSON.stringify(logs[0]);
    expect(serialized).not.toContain("private transcript");
    expect(serialized).not.toContain("turn-1");
    expect(serialized).not.toContain("call-1");
    expect(serialized).not.toContain("item-1");

    const fileLog = fs.readFileSync(logFile, "utf8");
    expect(fileLog).toContain("talk event output.text.done");
    expect(fileLog).toContain('"session_id":"talk-session"');
    expect(fileLog).not.toContain("private transcript");
    expect(fileLog).not.toContain("turn-1");
    expect(fileLog).not.toContain("call-1");
    expect(fileLog).not.toContain("item-1");
  });

  it("drops high-volume delta records from file and OTLP logs", async () => {
    const logs: Array<Extract<DiagnosticEventPayload, { type: "log.record" }>> = [];
    const unsubscribe = onInternalDiagnosticEvent((event) => {
      if (event.type === "log.record") {
        logs.push(event);
      }
    });
    const events = createTalkEventSequencer({
      sessionId: "talk-session",
      mode: "realtime",
      transport: "gateway-relay",
      brain: "agent-consult",
      provider: "openai",
    });

    recordTalkLogEvent(
      events.next({
        type: "transcript.delta",
        turnId: "turn-1",
        payload: { text: "private partial transcript" },
      }),
    );
    recordTalkLogEvent(
      events.next({
        type: "output.audio.delta",
        turnId: "turn-1",
        payload: { byteLength: 320 },
      }),
    );
    await flushDiagnosticEvents();
    unsubscribe();

    expect(logs).toHaveLength(0);
  });

  it("records diagnostics and logs through the combined observability hook", async () => {
    const observed: Array<{ event: DiagnosticEventPayload; trusted: boolean }> = [];
    const unsubscribe = onInternalDiagnosticEvent((event, metadata) => {
      observed.push({ event, trusted: metadata.trusted });
    });
    const events = createTalkEventSequencer({
      sessionId: "talk-session",
      mode: "realtime",
      transport: "gateway-relay",
      brain: "agent-consult",
      provider: "openai",
    });

    recordTalkObservabilityEvent(
      events.next({
        type: "session.error",
        payload: { message: "provider failure with private detail" },
        final: true,
      }),
    );
    await flushDiagnosticEvents();
    unsubscribe();

    expect(observed).toEqual(
      expect.arrayContaining([
        expect.objectContaining({
          trusted: true,
          event: expect.objectContaining({
            type: "talk.event",
            talkEventType: "session.error",
            sessionId: "talk-session",
          }),
        }),
        expect.objectContaining({
          trusted: false,
          event: expect.objectContaining({
            type: "log.record",
            level: "WARN",
            message: "talk event session.error",
          }),
        }),
      ]),
    );
    expect(JSON.stringify(observed)).not.toContain("private detail");
  });
});