import test from "node:test";
import assert from "node:assert/strict";
import os from "node:os";
import path from "node:path";
import { mkdir, mkdtemp, rm, writeFile } from "node:fs/promises";
import { NextRequest } from "next/server";

let runtimeRoot = "";
let POST: (typeof import("../src/app/api/v1/projects/[projectId]/messages/route"))["POST"];
let saveAiAccount: (typeof import("../src/lib/boss-data"))["saveAiAccount"];
let updateProjectAgentControls: (typeof import("../src/lib/boss-data"))["updateProjectAgentControls"];
let readState: (typeof import("../src/lib/boss-data"))["readState"];
let createAuthSession: (typeof import("../src/lib/boss-data"))["createAuthSession"];
let appendProjectMessages: (typeof import("../src/lib/boss-data"))["appendProjectMessages"];
let AUTH_SESSION_COOKIE = "";

async function setup() {
  if (runtimeRoot) {
    return;
  }

  runtimeRoot = await mkdtemp(path.join(os.tmpdir(), "boss-master-agent-message-queue-"));
  process.env.BOSS_RUNTIME_ROOT = runtimeRoot;
  process.env.BOSS_STATE_FILE = path.join(runtimeRoot, "boss-state.json");

  const [messageRoute, data, auth] = await Promise.all([
    import("../src/app/api/v1/projects/[projectId]/messages/route.ts"),
    import("../src/lib/boss-data.ts"),
    import("../src/lib/boss-auth.ts"),
  ]);

  POST = messageRoute.POST;
  saveAiAccount = data.saveAiAccount;
  updateProjectAgentControls = data.updateProjectAgentControls;
  readState = data.readState;
  createAuthSession = data.createAuthSession;
  appendProjectMessages = data.appendProjectMessages;
  AUTH_SESSION_COOKIE = auth.AUTH_SESSION_COOKIE;
}

async function createAuthedRequest(projectId: string, body: unknown) {
  const session = await createAuthSession({
    account: "17600003315",
    role: "highest_admin",
    displayName: "Boss 超级管理员",
    loginMethod: "password",
  });

  return new NextRequest(`http://127.0.0.1:3000/api/v1/projects/${projectId}/messages`, {
    method: "POST",
    headers: {
      "content-type": "application/json",
      cookie: `${AUTH_SESSION_COOKIE}=${session.sessionToken}`,
    },
    body: JSON.stringify(body),
  });
}

async function waitFor(predicate: () => Promise<boolean>, timeoutMs = 5_000) {
  const startedAt = Date.now();
  while (Date.now() - startedAt < timeoutMs) {
    if (await predicate()) {
      return;
    }
    await new Promise((resolve) => setTimeout(resolve, 50));
  }
  throw new Error("waitFor timed out");
}

test.after(async () => {
  if (runtimeRoot) {
    await rm(runtimeRoot, { recursive: true, force: true });
  }
});

test.beforeEach(async () => {
  await setup();
  await rm(runtimeRoot, { recursive: true, force: true });
  await mkdir(runtimeRoot, { recursive: true });
});

test("appendProjectMessages 可以一次写入用户消息和主 Agent 本地快反回复", async () => {
  const messages = await appendProjectMessages({
    projectId: "master-agent",
    messages: [
      {
        senderLabel: "Boss 超级管理员",
        body: "你现在是什么模型",
        kind: "text",
      },
      {
        sender: "master",
        senderLabel: "主 Agent · gpt-5.4-mini",
        body: "当前主 Agent 是快速反应模式。",
        kind: "text",
      },
    ],
  });

  assert.equal(messages.length, 2);
  assert.equal(messages[0]?.sender, "user");
  assert.equal(messages[1]?.sender, "master");

  const state = await readState();
  const masterProject = state.projects.find((project) => project.id === "master-agent");
  assert.equal(
    masterProject?.messages.find((message) => message.id === messages[0]?.id)?.body,
    "你现在是什么模型",
  );
  assert.equal(
    masterProject?.messages.find((message) => message.id === messages[1]?.id)?.body,
    "当前主 Agent 是快速反应模式。",
  );
});

test("POST /api/v1/projects/master-agent/messages 快速返回队列态并在异步实际回复时继承当前会话覆盖", async () => {
  await saveAiAccount({
    accountId: "openai-master-agent-queue",
    label: "API 容灾",
    role: "api_fallback",
    provider: "openai_api",
    displayName: "OpenAI API 队列测试",
    model: "gpt-5.4",
    apiKey: "sk-test-openai-queue",
    enabled: true,
    setActive: true,
    loginStatusNote: "用于 master-agent 队列测试。",
  });

  await updateProjectAgentControls("master-agent", {
    modelOverride: "gpt-4.1-mini",
    reasoningEffortOverride: "high",
  });

  const fetchCalls: Array<{ url: string; body: unknown }> = [];
  const originalFetch = globalThis.fetch;
  globalThis.fetch = (async (input, init) => {
    const body = typeof init?.body === "string" ? JSON.parse(init.body) : init?.body ?? null;
    fetchCalls.push({ url: String(input), body });
    return new Response(JSON.stringify({ output_text: "已切到异步队列回复。" }), {
      status: 200,
      headers: {
        "content-type": "application/json",
        "x-request-id": "req-master-agent-queue",
      },
    });
  }) as typeof fetch;

  try {
    const response = await POST(
      await createAuthedRequest("master-agent", {
        body: "请同步 master-agent 当前阻塞点",
      }),
      { params: Promise.resolve({ projectId: "master-agent" }) },
    );

    assert.equal(response.status, 200);

    const payload = (await response.json()) as {
      ok: boolean;
      task?: { taskId: string; taskType: string; status: string } | null;
      masterReplyState?: "queued" | "running" | "completed";
      masterReply?: { accountId?: string } | null;
    };

    assert.equal(payload.ok, true);
    assert.equal(payload.masterReply?.accountId, "openai-master-agent-queue");
    assert.equal(payload.masterReplyState, "queued");
    assert.ok(payload.task, "expected master-agent message to return a task envelope");
    assert.equal(payload.task?.taskType, "conversation_reply");
    assert.equal(payload.task?.status, "queued");
    assert.ok(payload.task?.taskId, "expected a stable taskId in the response");

    await waitFor(async () => {
      const state = await readState();
      const task = state.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
      return task?.status === "completed";
    });

    const nextState = await readState();
    const task = nextState.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
    assert.ok(task, "expected the queued task to remain in state");
    assert.equal(task?.status, "completed");
    assert.equal(task?.replyBody, "已切到异步队列回复。");

    const masterProject = nextState.projects.find((project) => project.id === "master-agent");
    const mirroredReply = masterProject?.messages.at(-1);
    assert.ok(mirroredReply, "expected the async reply to be written back to the master-agent ledger");
    assert.match(mirroredReply?.body ?? "", /已切到异步队列回复/);

    assert.equal(fetchCalls.length, 1);
    assert.equal(fetchCalls[0]?.url, "https://api.openai.com/v1/responses");
    const requestBody = fetchCalls[0]?.body as {
      model?: string;
      reasoning?: { effort?: string };
    };
    assert.equal(requestBody?.model, "gpt-4.1-mini");
    assert.equal(requestBody?.reasoning?.effort, "high");
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("POST /api/v1/projects/master-agent/messages 在快速反应模式下会对简单问题走同步快路径", async () => {
  await saveAiAccount({
    accountId: "openai-master-agent-fast-sync",
    label: "API 容灾",
    role: "api_fallback",
    provider: "openai_api",
    displayName: "OpenAI API 快反测试",
    model: "gpt-5.4",
    apiKey: "sk-test-openai-fast-sync",
    enabled: true,
    setActive: true,
    loginStatusNote: "用于 master-agent 快速反应同步路径测试。",
  });

  await updateProjectAgentControls("master-agent", {
    modelOverride: "gpt-4.1",
    reasoningEffortOverride: "low",
    fastModelOverride: "gpt-4.1",
    deepModelOverride: "gpt-5.4",
  });

  const fetchCalls: Array<{ url: string; body: unknown }> = [];
  const originalFetch = globalThis.fetch;
  globalThis.fetch = (async (input, init) => {
    const body = typeof init?.body === "string" ? JSON.parse(init.body) : init?.body ?? null;
    fetchCalls.push({ url: String(input), body });
    return new Response(JSON.stringify({ output_text: "快速反应正常。" }), {
      status: 200,
      headers: {
        "content-type": "application/json",
        "x-request-id": "req-master-agent-fast-sync",
      },
    });
  }) as typeof fetch;

  try {
    const response = await POST(
      await createAuthedRequest("master-agent", {
        body: "请说：快速反应正常。",
      }),
      { params: Promise.resolve({ projectId: "master-agent" }) },
    );

    assert.equal(response.status, 200);
    const payload = (await response.json()) as {
      ok: boolean;
      task?: { taskId: string } | null;
      masterReplyState?: "queued" | "running" | "completed" | null;
      masterReply?: { accountId?: string; requestId?: string; autoEscalated?: boolean } | null;
      replyMessage?: { sender?: string; body?: string } | null;
    };

    assert.equal(payload.ok, true);
    assert.equal(payload.task ?? null, null);
    assert.equal(payload.masterReplyState, "completed");
    assert.equal(payload.masterReply?.accountId, "openai-master-agent-fast-sync");
    assert.equal(payload.masterReply?.requestId, "req-master-agent-fast-sync");
    assert.equal(payload.masterReply?.autoEscalated, false);
    assert.equal(payload.replyMessage?.sender, "master");
    assert.match(payload.replyMessage?.body ?? "", /快速反应正常/);

    const nextState = await readState();
    const queuedTask = nextState.masterAgentTasks.find((item) => item.requestText === "请说：快速反应正常。");
    assert.equal(queuedTask, undefined);
    const masterProject = nextState.projects.find((project) => project.id === "master-agent");
    const reply = masterProject?.messages.at(-1);
    assert.ok(reply, "expected the sync reply to be written back immediately");
    assert.match(reply?.body ?? "", /快速反应正常/);

    assert.equal(fetchCalls.length, 1);
    const requestBody = fetchCalls[0]?.body as {
      model?: string;
      reasoning?: { effort?: string };
    };
    assert.equal(requestBody?.model, "gpt-4.1");
    assert.equal(requestBody?.reasoning?.effort, "low");
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("POST /api/v1/projects/master-agent/messages 对模型状态类问题会本地秒回且不调用模型", async () => {
  await saveAiAccount({
    accountId: "master-codex-primary-local-status",
    label: "主 GPT",
    role: "primary",
    provider: "master_codex_node",
    displayName: "在线 Master Codex Node",
    nodeId: "mac-studio",
    nodeLabel: "Mac Studio",
    model: "gpt-5.4",
    enabled: true,
    setActive: true,
    loginStatusNote: "在线主节点。",
  });

  await saveAiAccount({
    accountId: "hyzq-fast-local-status",
    label: "环宇快反",
    role: "backup",
    provider: "hyzq_api",
    displayName: "环宇智擎 API",
    model: "gpt-5.4-mini",
    apiKey: "hyzq-fast-local-status-key",
    enabled: true,
    setActive: false,
    loginStatusNote: "环宇智擎快反账号。",
  });

  await updateProjectAgentControls("master-agent", {
    modelOverride: "gpt-5.4-mini",
    reasoningEffortOverride: "low",
    fastModelOverride: "gpt-5.4-mini",
    deepModelOverride: "gpt-5.4",
  });

  const originalFetch = globalThis.fetch;
  let fetchCalled = false;
  globalThis.fetch = (async () => {
    fetchCalled = true;
    throw new Error("model call should not happen for local status replies");
  }) as typeof fetch;

  try {
    const response = await POST(
      await createAuthedRequest("master-agent", {
        body: "你现在是什么模型",
      }),
      { params: Promise.resolve({ projectId: "master-agent" }) },
    );

    assert.equal(response.status, 200);
    const payload = (await response.json()) as {
      ok: boolean;
      task?: { taskId: string } | null;
      masterReplyState?: "queued" | "running" | "completed" | null;
      masterReply?: { accountId?: string; requestId?: string; effectiveModel?: string } | null;
      replyMessage?: { sender?: string; body?: string } | null;
    };

    assert.equal(payload.ok, true);
    assert.equal(payload.task ?? null, null);
    assert.equal(payload.masterReplyState, "completed");
    assert.equal(payload.masterReply?.requestId, "local-fast-path");
    assert.equal(payload.masterReply?.effectiveModel, "gpt-5.4-mini");
    assert.equal(payload.replyMessage?.sender, "master");
    assert.match(payload.replyMessage?.body ?? "", /gpt-5.4-mini/);
    assert.equal(fetchCalled, false);

    const nextState = await readState();
    const reply = nextState.projects.find((project) => project.id === "master-agent")?.messages.at(-1);
    assert.match(reply?.body ?? "", /gpt-5.4-mini/);
    assert.match(reply?.body ?? "", /快速反应/);
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("POST /api/v1/projects/master-agent/messages 对可用模型查询会本地秒回并返回模式配置", async () => {
  await saveAiAccount({
    accountId: "hyzq-fast-local-list",
    label: "环宇快反",
    role: "primary",
    provider: "hyzq_api",
    displayName: "环宇智擎 API",
    model: "gpt-5.4-mini",
    apiKey: "hyzq-fast-local-list-key",
    enabled: true,
    setActive: true,
    loginStatusNote: "环宇智擎快反账号。",
  });

  await updateProjectAgentControls("master-agent", {
    modelOverride: "gpt-5.4-mini",
    reasoningEffortOverride: "low",
    fastModelOverride: "gpt-5.4-mini",
    deepModelOverride: "gpt-5.4",
  });

  const originalFetch = globalThis.fetch;
  let fetchCalled = false;
  globalThis.fetch = (async () => {
    fetchCalled = true;
    throw new Error("model call should not happen for local model listing replies");
  }) as typeof fetch;

  try {
    const response = await POST(
      await createAuthedRequest("master-agent", {
        body: "有哪些模型可用",
      }),
      { params: Promise.resolve({ projectId: "master-agent" }) },
    );

    assert.equal(response.status, 200);
    const payload = (await response.json()) as {
      ok: boolean;
      task?: { taskId: string } | null;
      masterReplyState?: "queued" | "running" | "completed" | null;
      masterReply?: { requestId?: string } | null;
      replyMessage?: { body?: string } | null;
    };

    assert.equal(payload.ok, true);
    assert.equal(payload.task ?? null, null);
    assert.equal(payload.masterReplyState, "completed");
    assert.equal(payload.masterReply?.requestId, "local-fast-path");
    assert.match(payload.replyMessage?.body ?? "", /gpt-5\.4-mini/);
    assert.match(payload.replyMessage?.body ?? "", /gpt-5\.4/);
    assert.match(payload.replyMessage?.body ?? "", /gpt-5\.1/);
    assert.match(payload.replyMessage?.body ?? "", /gpt-4\.1/);
    assert.equal(fetchCalled, false);
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("POST /api/v1/projects/master-agent/messages 对深度思考切换请求会本地更新 controls 并秒回", async () => {
  await saveAiAccount({
    accountId: "hyzq-fast-local-switch",
    label: "环宇快反",
    role: "primary",
    provider: "hyzq_api",
    displayName: "环宇智擎 API",
    model: "gpt-5.4-mini",
    apiKey: "hyzq-fast-local-switch-key",
    enabled: true,
    setActive: true,
    loginStatusNote: "环宇智擎快反账号。",
  });

  await updateProjectAgentControls("master-agent", {
    modelOverride: "gpt-5.4-mini",
    reasoningEffortOverride: "low",
    fastModelOverride: "gpt-5.4-mini",
    deepModelOverride: "gpt-5.4",
  });

  const originalFetch = globalThis.fetch;
  let fetchCalled = false;
  globalThis.fetch = (async () => {
    fetchCalled = true;
    throw new Error("model call should not happen for local mode switching replies");
  }) as typeof fetch;

  try {
    const response = await POST(
      await createAuthedRequest("master-agent", {
        body: "切到深度思考",
      }),
      { params: Promise.resolve({ projectId: "master-agent" }) },
    );

    assert.equal(response.status, 200);
    const payload = (await response.json()) as {
      ok: boolean;
      task?: { taskId: string } | null;
      masterReplyState?: "queued" | "running" | "completed" | null;
      masterReply?: { requestId?: string; effectiveModel?: string; effectiveReasoningEffort?: string } | null;
      replyMessage?: { body?: string } | null;
    };

    assert.equal(payload.ok, true);
    assert.equal(payload.task ?? null, null);
    assert.equal(payload.masterReplyState, "completed");
    assert.equal(payload.masterReply?.requestId, "local-fast-path");
    assert.equal(payload.masterReply?.effectiveModel, "gpt-5.4");
    assert.equal(payload.masterReply?.effectiveReasoningEffort, "high");
    assert.match(payload.replyMessage?.body ?? "", /深度思考/);
    assert.match(payload.replyMessage?.body ?? "", /gpt-5\.4/);
    assert.equal(fetchCalled, false);

    const controls = await readState().then((state) =>
      state.userProjectAgentControls.find(
        (entry) => entry.projectId === "master-agent" && entry.account === "17600003315",
      )?.controls,
    );
    assert.equal(controls?.modelOverride, "gpt-5.4");
    assert.equal(controls?.reasoningEffortOverride, "high");
    assert.equal(controls?.fastModelOverride, "gpt-5.4-mini");
    assert.equal(controls?.deepModelOverride, "gpt-5.4");
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("POST /api/v1/projects/master-agent/messages 在主节点在线时也会优先用环宇智擎执行快速反应", async () => {
  await saveAiAccount({
    accountId: "master-codex-primary-online-fast",
    label: "主 GPT",
    role: "primary",
    provider: "master_codex_node",
    displayName: "在线 Master Codex Node",
    nodeId: "mac-studio",
    nodeLabel: "Mac Studio",
    model: "gpt-5.4",
    enabled: true,
    setActive: true,
    loginStatusNote: "在线主节点。",
  });

  await saveAiAccount({
    accountId: "hyzq-fast-backup",
    label: "环宇快反",
    role: "backup",
    provider: "hyzq_api",
    displayName: "环宇智擎 API",
    model: "gpt-5.4-mini",
    apiKey: "hyzq-fast-key",
    enabled: true,
    setActive: false,
    loginStatusNote: "环宇智擎快反账号。",
  });

  await updateProjectAgentControls("master-agent", {
    modelOverride: "gpt-5.4-mini",
    reasoningEffortOverride: "low",
    fastModelOverride: "gpt-5.4-mini",
    deepModelOverride: "gpt-5.4",
  });

  const fetchCalls: Array<{ url: string; body: unknown }> = [];
  const originalFetch = globalThis.fetch;
  globalThis.fetch = (async (input, init) => {
    const body = typeof init?.body === "string" ? JSON.parse(init.body) : init?.body ?? null;
    fetchCalls.push({ url: String(input), body });
    return new Response(JSON.stringify({ output_text: "环宇快反正常。" }), {
      status: 200,
      headers: {
        "content-type": "application/json",
        "x-request-id": "req-master-agent-hyzq-fast",
      },
    });
  }) as typeof fetch;

  try {
    const response = await POST(
      await createAuthedRequest("master-agent", {
        body: "请说：环宇快反正常。",
      }),
      { params: Promise.resolve({ projectId: "master-agent" }) },
    );

    assert.equal(response.status, 200);
    const payload = (await response.json()) as {
      ok: boolean;
      task?: { taskId: string } | null;
      masterReplyState?: "queued" | "running" | "completed" | null;
      masterReply?: { accountId?: string; requestId?: string } | null;
    };

    assert.equal(payload.ok, true);
    assert.equal(payload.task ?? null, null);
    assert.equal(payload.masterReplyState, "completed");
    assert.equal(payload.masterReply?.accountId, "hyzq-fast-backup");
    assert.equal(payload.masterReply?.requestId, "req-master-agent-hyzq-fast");

    const nextState = await readState();
    const queuedTask = nextState.masterAgentTasks.find((item) => item.requestText === "请说：环宇快反正常。");
    assert.equal(queuedTask, undefined);
    const reply = nextState.projects.find((project) => project.id === "master-agent")?.messages.at(-1);
    assert.match(reply?.body ?? "", /环宇快反正常/);

    assert.equal(fetchCalls.length, 1);
    assert.equal(fetchCalls[0]?.url, "https://api.hyzq2046.com/v1/responses");
    const requestBody = fetchCalls[0]?.body as {
      model?: string;
      reasoning?: { effort?: string };
    };
    assert.equal(requestBody?.model, "gpt-5.4-mini");
    assert.equal(requestBody?.reasoning?.effort, "low");
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("POST /api/v1/projects/master-agent/messages 在主节点在线时复杂快反请求会自动升档到环宇智擎深度队列", async () => {
  await saveAiAccount({
    accountId: "master-codex-primary-online-deep",
    label: "主 GPT",
    role: "primary",
    provider: "master_codex_node",
    displayName: "在线 Master Codex Node",
    nodeId: "mac-studio",
    nodeLabel: "Mac Studio",
    model: "gpt-5.4",
    enabled: true,
    setActive: true,
    loginStatusNote: "在线主节点。",
  });

  await saveAiAccount({
    accountId: "hyzq-deep-backup",
    label: "环宇深思",
    role: "backup",
    provider: "hyzq_api",
    displayName: "环宇智擎 API",
    model: "gpt-5.4-mini",
    apiKey: "hyzq-deep-key",
    enabled: true,
    setActive: false,
    loginStatusNote: "环宇智擎深思账号。",
  });

  await updateProjectAgentControls("master-agent", {
    modelOverride: "gpt-5.4-mini",
    reasoningEffortOverride: "low",
    fastModelOverride: "gpt-5.4-mini",
    deepModelOverride: "gpt-5.4",
  });

  const fetchCalls: Array<{ url: string; body: unknown }> = [];
  const originalFetch = globalThis.fetch;
  globalThis.fetch = (async (input, init) => {
    const body = typeof init?.body === "string" ? JSON.parse(init.body) : init?.body ?? null;
    fetchCalls.push({ url: String(input), body });
    return new Response(JSON.stringify({ output_text: "已经升档到环宇深度思考。" }), {
      status: 200,
      headers: {
        "content-type": "application/json",
        "x-request-id": "req-master-agent-hyzq-deep",
      },
    });
  }) as typeof fetch;

  try {
    const response = await POST(
      await createAuthedRequest("master-agent", {
        body: "请深入分析主 Agent 快速反应链路的性能瓶颈，并给出实现方案、风险和回归测试建议。",
      }),
      { params: Promise.resolve({ projectId: "master-agent" }) },
    );

    assert.equal(response.status, 200);
    const payload = (await response.json()) as {
      ok: boolean;
      task?: { taskId: string; taskType: string; status: string } | null;
      masterReplyState?: "queued" | "running" | "completed" | null;
      masterReply?: { accountId?: string; autoEscalated?: boolean } | null;
    };

    assert.equal(payload.ok, true);
    assert.equal(payload.masterReplyState, "queued");
    assert.equal(payload.masterReply?.accountId, "hyzq-deep-backup");
    assert.equal(payload.masterReply?.autoEscalated, true);
    assert.equal(payload.task?.taskType, "conversation_reply");

    await waitFor(async () => {
      const state = await readState();
      const task = state.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
      return task?.status === "completed";
    });

    const nextState = await readState();
    const task = nextState.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
    assert.equal(task?.accountId, "hyzq-deep-backup");
    assert.equal(task?.deviceId, "master-agent-openai");
    assert.equal(task?.replyBody, "已经升档到环宇深度思考。");

    assert.equal(fetchCalls.length, 1);
    assert.equal(fetchCalls[0]?.url, "https://api.hyzq2046.com/v1/responses");
    const requestBody = fetchCalls[0]?.body as {
      model?: string;
      reasoning?: { effort?: string };
    };
    assert.equal(requestBody?.model, "gpt-5.4");
    assert.equal(requestBody?.reasoning?.effort, "high");
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("master-agent enqueue 在主节点离线时会自动切到 OpenAI 后台队列而不是挂到本机设备队列", async () => {
  await saveAiAccount({
    accountId: "master-codex-primary-offline",
    label: "主 GPT",
    role: "primary",
    provider: "master_codex_node",
    displayName: "离线 Master Codex Node",
    nodeId: "offline-node",
    nodeLabel: "离线节点",
    model: "gpt-5.4",
    enabled: true,
    setActive: true,
    loginStatusNote: "离线主节点",
  });

  await saveAiAccount({
    accountId: "openai-backup-queue",
    label: "备用 GPT",
    role: "backup",
    provider: "openai_api",
    displayName: "OpenAI 备用账号",
    accountIdentifier: "sk-queue-demo",
    model: "gpt-5.4",
    apiKey: "sk-queue-demo",
    enabled: true,
    setActive: false,
    loginStatusNote: "备用 API 账号",
  });

  const originalFetch = globalThis.fetch;
  globalThis.fetch = (async () =>
    new Response(JSON.stringify({ output_text: "离线主节点已切到 API 后台队列。" }), {
      status: 200,
      headers: {
        "content-type": "application/json",
        "x-request-id": "req-master-agent-offline-fallback-queue",
      },
    })) as typeof fetch;

  try {
    const response = await POST(
      await createAuthedRequest("master-agent", {
        body: "请走备用 API 队列",
      }),
      { params: Promise.resolve({ projectId: "master-agent" }) },
    );

    assert.equal(response.status, 200);
    const payload = (await response.json()) as {
      ok: boolean;
      task?: { taskId: string; taskType: string; status: string } | null;
      masterReplyState?: "queued" | "running" | "completed";
      masterReply?: { accountId?: string } | null;
    };
    assert.equal(payload.ok, true);
    assert.equal(payload.masterReply?.accountId, "openai-backup-queue");
    assert.equal(payload.masterReplyState, "queued");
    assert.equal(payload.task?.taskType, "conversation_reply");

    await waitFor(async () => {
      const state = await readState();
      const task = state.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
      return task?.status === "completed";
    });

    const nextState = await readState();
    const task = nextState.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
    assert.equal(task?.deviceId, "master-agent-openai");
    assert.equal(task?.status, "completed");
    assert.equal(task?.accountId, "openai-backup-queue");
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("master-agent enqueue 在显式选择 claw-runtime 时会通过 Claw 异步回写回复", async () => {
  const clawDir = await mkdtemp(path.join(os.tmpdir(), "boss-claw-queue-"));
  const clawScriptPath = path.join(clawDir, "claw-runtime.mjs");
  await writeFile(
    clawScriptPath,
    `
      let stdin = "";
      process.stdin.setEncoding("utf8");
      for await (const chunk of process.stdin) {
        stdin += chunk;
      }
      const payload = JSON.parse(stdin);
      process.stdout.write(JSON.stringify({
        status: "completed",
        output: "Claw 已接管当前主 Agent 会话：" + payload.body
      }));
    `,
    "utf8",
  );

  const previousEnv = {
    BOSS_CLAW_ENABLED: process.env.BOSS_CLAW_ENABLED,
    BOSS_CLAW_COMMAND: process.env.BOSS_CLAW_COMMAND,
    BOSS_CLAW_ARGS: process.env.BOSS_CLAW_ARGS,
    BOSS_CLAW_TIMEOUT_MS: process.env.BOSS_CLAW_TIMEOUT_MS,
  };
  process.env.BOSS_CLAW_ENABLED = "true";
  process.env.BOSS_CLAW_COMMAND = process.execPath;
  process.env.BOSS_CLAW_ARGS = clawScriptPath;
  process.env.BOSS_CLAW_TIMEOUT_MS = "1000";

  await saveAiAccount({
    accountId: "master-codex-primary-claw",
    label: "主 GPT",
    role: "primary",
    provider: "master_codex_node",
    displayName: "Mac 上的 Master Codex Node",
    nodeId: "local-codex-node",
    nodeLabel: "本机 Codex",
    model: "gpt-5.4",
    enabled: true,
    setActive: true,
    loginStatusNote: "用于 Claw backend 队列测试。",
  });

  await updateProjectAgentControls("master-agent", {
    backendOverride: "claw-runtime",
  });

  try {
    const response = await POST(
      await createAuthedRequest("master-agent", {
        body: "请走 Claw runtime",
      }),
      { params: Promise.resolve({ projectId: "master-agent" }) },
    );

    assert.equal(response.status, 200);
    const payload = (await response.json()) as {
      ok: boolean;
      task?: { taskId: string; status: string } | null;
      masterReply?: { accountId?: string } | null;
      masterReplyState?: string | null;
    };

    assert.equal(payload.ok, true);
    assert.equal(payload.masterReply?.accountId, "claw-runtime");
    assert.equal(payload.masterReplyState, "queued");
    assert.ok(payload.task?.taskId);

    await waitFor(async () => {
      const state = await readState();
      const task = state.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
      return task?.status === "completed";
    });

    const nextState = await readState();
    const task = nextState.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
    assert.equal(task?.status, "completed");
    assert.equal(task?.replyBody, "Claw 已接管当前主 Agent 会话：请走 Claw runtime");

    const masterProject = nextState.projects.find((project) => project.id === "master-agent");
    const mirroredReply = masterProject?.messages.at(-1);
    assert.match(mirroredReply?.body ?? "", /Claw 已接管当前主 Agent 会话/);
  } finally {
    process.env.BOSS_CLAW_ENABLED = previousEnv.BOSS_CLAW_ENABLED;
    process.env.BOSS_CLAW_COMMAND = previousEnv.BOSS_CLAW_COMMAND;
    process.env.BOSS_CLAW_ARGS = previousEnv.BOSS_CLAW_ARGS;
    process.env.BOSS_CLAW_TIMEOUT_MS = previousEnv.BOSS_CLAW_TIMEOUT_MS;
    await rm(clawDir, { recursive: true, force: true });
  }
});

test("master-agent enqueue 在首选主节点离线时会回退到可用的备用主节点并返回实际账号", async () => {
  await saveAiAccount({
    accountId: "master-codex-primary-offline",
    label: "主 GPT",
    role: "primary",
    provider: "master_codex_node",
    displayName: "离线 Master Codex Node",
    nodeId: "offline-node",
    nodeLabel: "离线节点",
    model: "gpt-5.4",
    enabled: true,
    setActive: true,
    loginStatusNote: "离线主节点",
  });

  await saveAiAccount({
    accountId: "master-codex-backup-online",
    label: "备用主节点",
    role: "backup",
    provider: "master_codex_node",
    displayName: "在线备用 Master Codex Node",
    nodeId: "mac-studio",
    nodeLabel: "Mac Studio",
    model: "gpt-5.4",
    enabled: true,
    setActive: false,
    loginStatusNote: "在线备用主节点",
  });

  const response = await POST(
    await createAuthedRequest("master-agent", {
      body: "请走备用主节点队列",
    }),
    { params: Promise.resolve({ projectId: "master-agent" }) },
  );

  assert.equal(response.status, 200);
  const payload = (await response.json()) as {
    ok: boolean;
    task?: { taskId: string; taskType: string; status: string } | null;
    masterReplyState?: "queued" | "running" | "completed";
    masterReply?: { accountId?: string } | null;
  };

  assert.equal(payload.ok, true);
  assert.equal(payload.masterReply?.accountId, "master-codex-backup-online");
  assert.equal(payload.masterReplyState, "queued");
  assert.equal(payload.task?.taskType, "conversation_reply");
  assert.equal(payload.task?.status, "queued");

  const state = await readState();
  const task = state.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
  assert.ok(task, "expected queued master-agent task");
  assert.equal(task?.accountId, "master-codex-backup-online");
  assert.equal(task?.deviceId, "mac-studio");
});

test("master-agent enqueue 会在首个 API 候选失败后切到下一条备用链并重写任务账号", async () => {
  await saveAiAccount({
    accountId: "openai-primary-queue",
    label: "OpenAI 主控",
    role: "primary",
    provider: "openai_api",
    displayName: "OpenAI 主账号",
    model: "gpt-5.4",
    apiKey: "sk-openai-primary-queue",
    enabled: true,
    setActive: true,
    loginStatusNote: "OpenAI 主控",
  });

  await saveAiAccount({
    accountId: "aliyun-qwen-backup-queue",
    label: "阿里备用",
    role: "backup",
    provider: "aliyun_qwen_api",
    displayName: "阿里百炼备用账号",
    model: "qwen3.5-plus",
    apiKey: "sk-aliyun-backup-queue",
    enabled: true,
    setActive: false,
    loginStatusNote: "阿里备用账号",
  });

  const fetchCalls: string[] = [];
  const originalFetch = globalThis.fetch;
  globalThis.fetch = (async (input) => {
    fetchCalls.push(String(input));
    if (typeof input === "string" && input === "https://api.openai.com/v1/responses") {
      return new Response(JSON.stringify({ error: { message: "openai queue failure" } }), {
        status: 500,
        headers: { "content-type": "application/json" },
      });
    }
    if (typeof input === "string" && input === "https://dashscope.aliyuncs.com/compatible-mode/v1/responses") {
      return new Response(JSON.stringify({ output_text: "后台队列已切到阿里备用。" }), {
        status: 200,
        headers: {
          "content-type": "application/json",
          "x-request-id": "req-master-agent-queue-fallback-chain",
        },
      });
    }
    throw new Error(`unexpected fetch: ${String(input)}`);
  }) as typeof fetch;

  try {
    const response = await POST(
      await createAuthedRequest("master-agent", {
        body: "请让后台队列自动切备用链",
      }),
      { params: Promise.resolve({ projectId: "master-agent" }) },
    );

    assert.equal(response.status, 200);
    const payload = (await response.json()) as {
      ok: boolean;
      task?: { taskId: string; taskType: string; status: string } | null;
      masterReplyState?: "queued" | "running" | "completed";
      masterReply?: { accountId?: string } | null;
    };

    assert.equal(payload.ok, true);
    assert.equal(payload.masterReply?.accountId, "openai-primary-queue");
    assert.equal(payload.masterReplyState, "queued");

    await waitFor(async () => {
      const state = await readState();
      const task = state.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
      return task?.status === "completed";
    });

    const state = await readState();
    const task = state.masterAgentTasks.find((item) => item.taskId === payload.task?.taskId);
    assert.ok(task, "expected queued task to remain in state");
    assert.equal(task?.status, "completed");
    assert.equal(task?.accountId, "aliyun-qwen-backup-queue");
    assert.equal(task?.deviceId, "master-agent-aliyun-qwen");
    const aliyunAccount = state.aiAccounts.find((item) => item.accountId === "aliyun-qwen-backup-queue");
    assert.equal(aliyunAccount?.isActive, true);
    assert.equal(fetchCalls[0], "https://api.openai.com/v1/responses");
    assert.equal(fetchCalls[1], "https://dashscope.aliyuncs.com/compatible-mode/v1/responses");
  } finally {
    globalThis.fetch = originalFetch;
  }
});