/**
 * OllamaAdapter 独立测试
 *
 * 覆盖契约：
 * - NDJSON 流式解析（thinking/content/tool_calls/done usage）
 * - 工具参数坏 JSON 自愈（_truncatedArguments）
 * - pullModel 进度回调 / 取消信号 / 非 JSON 行跳过
 * - probeCapabilities / showModel / listModels / getVersion / listRunning
 * - 图片 URL → base64 下载、data URI 剥前缀、失败降级
 */

import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';

vi.mock('electron-log', () => ({
  default: { info: vi.fn(), warn: vi.fn(), error: vi.fn(), debug: vi.fn() },
}));

import { OllamaAdapter } from '../ollama.adapter';
// v0.8.2 P0-1: 图片下载走 SSRF 安全通道（注入点替代 global fetch 打桩）
import { __imageFetcher } from '../shared/ssrf-image-fetch';
import type { ImageFetcher } from '../shared/ssrf-image-fetch';
import type { MetonaRequest } from '../../types';
import { MetonaStreamEventType } from '../../types';

const mockFetch = vi.fn();

function makeAdapter(model = 'qwen3', overrides: Record<string, unknown> = {}): OllamaAdapter {
  return new OllamaAdapter({
    provider: 'ollama',
    baseURL: 'http://localhost:11434',
    defaultModel: model,
    ...overrides,
  });
}

function makeRequest(overrides?: Partial<MetonaRequest>): MetonaRequest {
  return {
    meta: {
      sessionId: 's1',
      iteration: 1,
      requestId: 'r1',
      timestamp: Date.now(),
      agentVersion: 'test',
    },
    systemPrompt: {
      roleDefinition: 'You are Metona.',
      outputConstraints: '',
      safetyGuidelines: '',
    },
    messages: [{ role: 'user', content: 'hi', timestamp: Date.now() }],
    params: { maxTokens: 4096, temperature: 0, stream: true },
    ...overrides,
  };
}

function mockNDJSON(lines: unknown[]): void {
  const payload = lines.map((l) => JSON.stringify(l)).join('\n') + '\n';
  const body = new ReadableStream<Uint8Array>({
    start(controller) {
      controller.enqueue(new TextEncoder().encode(payload));
      controller.close();
    },
  });
  mockFetch.mockResolvedValue(new Response(body, { status: 200 }));
}

async function collectStream(
  adapter: OllamaAdapter,
  request: MetonaRequest,
): Promise<
  Array<{
    type: string;
    delta?: string;
    usage?: Record<string, unknown>;
    toolCall?: Record<string, unknown>;
  }>
> {
  const events: Array<{
    type: string;
    delta?: string;
    usage?: Record<string, unknown>;
    toolCall?: Record<string, unknown>;
  }> = [];
  for await (const ev of adapter.sendStream(request)) {
    events.push({
      type: ev.type,
      delta: ev.delta,
      usage: ev.usage as Record<string, unknown> | undefined,
      toolCall: ev.toolCall as Record<string, unknown> | undefined,
    });
  }
  return events;
}

beforeEach(() => {
  mockFetch.mockReset();
  vi.stubGlobal('fetch', mockFetch);
});

afterEach(() => {
  vi.unstubAllGlobals();
});

// ===== NDJSON 流式解析 =====

describe('OllamaAdapter — NDJSON 流式解析', () => {
  it('thinking + content 逐行产出 REASONING_DELTA / TEXT_DELTA', async () => {
    const adapter = makeAdapter();
    mockNDJSON([
      { model: 'qwen3', message: { role: 'assistant', thinking: '思考一' } },
      { model: 'qwen3', message: { role: 'assistant', content: '正文一' } },
      { model: 'qwen3', message: { role: 'assistant', thinking: '思考二' } },
      { model: 'qwen3', message: { role: 'assistant', content: '正文二' } },
      {
        model: 'qwen3',
        message: { role: 'assistant', content: '' },
        done: true,
        done_reason: 'stop',
        prompt_eval_count: 3,
        eval_count: 2,
      },
    ]);
    const events = await collectStream(adapter, makeRequest());
    const reasoning = events.filter((e) => e.type === MetonaStreamEventType.REASONING_DELTA);
    expect(reasoning.map((e) => e.delta)).toEqual(['思考一', '思考二']);
    const text = events.filter((e) => e.type === MetonaStreamEventType.TEXT_DELTA);
    expect(text.map((e) => e.delta)).toEqual(['正文一', '正文二']);
  });

  it('tool_calls 整块返回 → TOOL_CALL_COMPLETE（字符串 arguments 解析）', async () => {
    const adapter = makeAdapter();
    mockNDJSON([
      {
        model: 'qwen3',
        message: {
          role: 'assistant',
          content: '',
          tool_calls: [
            { function: { name: 'read_file', arguments: '{"path":"a.txt"}' } },
            { function: { name: 'list_dir', arguments: '{"path":"."}' } },
          ],
        },
      },
      {
        model: 'qwen3',
        message: { role: 'assistant', content: '' },
        done: true,
        done_reason: 'stop',
        prompt_eval_count: 1,
        eval_count: 1,
      },
    ]);
    const events = await collectStream(adapter, makeRequest());
    const completes = events.filter((e) => e.type === MetonaStreamEventType.TOOL_CALL_COMPLETE);
    expect(completes).toHaveLength(2);
    expect(completes[0].toolCall!.name).toBe('read_file');
    expect(completes[0].toolCall!.args).toEqual({ path: 'a.txt' });
    expect(completes[1].toolCall!.name).toBe('list_dir');
    expect(completes[1].toolCall!.id).toMatch(/^tc_/);
  });

  it('done chunk → USAGE（prompt_eval_count/eval_count）+ DONE', async () => {
    const adapter = makeAdapter();
    mockNDJSON([
      { model: 'qwen3', message: { role: 'assistant', content: 'x' } },
      {
        model: 'qwen3',
        message: { role: 'assistant', content: '' },
        done: true,
        done_reason: 'stop',
        prompt_eval_count: 11,
        eval_count: 7,
      },
    ]);
    const events = await collectStream(adapter, makeRequest());
    const usage = events.find((e) => e.type === MetonaStreamEventType.USAGE)?.usage;
    expect(usage).toMatchObject({ inputTokens: 11, outputTokens: 7, totalTokens: 18 });
    expect(events[events.length - 1].type).toBe(MetonaStreamEventType.DONE);
  });

  it('坏 NDJSON 行被跳过不中断流（记录警告）', async () => {
    const adapter = makeAdapter();
    mockFetch.mockResolvedValue(
      new Response(
        new ReadableStream<Uint8Array>({
          start(controller) {
            const encoder = new TextEncoder();
            controller.enqueue(encoder.encode('{bad json\n'));
            controller.enqueue(
              encoder.encode(
                JSON.stringify({ model: 'm', message: { role: 'assistant', content: 'ok' } }) +
                  '\n',
              ),
            );
            controller.enqueue(
              encoder.encode(
                JSON.stringify({
                  model: 'm',
                  message: { role: 'assistant', content: '' },
                  done: true,
                }) + '\n',
              ),
            );
            controller.close();
          },
        }),
        { status: 200 },
      ),
    );
    const events = await collectStream(adapter, makeRequest());
    expect(
      events.some((e) => e.type === MetonaStreamEventType.TEXT_DELTA && e.delta === 'ok'),
    ).toBe(true);
    expect(events[events.length - 1].type).toBe(MetonaStreamEventType.DONE);
  });

  it('流断开（无 done 行）→ 补发 DONE 防止挂起', async () => {
    const adapter = makeAdapter();
    mockNDJSON([{ model: 'm', message: { role: 'assistant', content: 'partial' } }]);
    const events = await collectStream(adapter, makeRequest());
    expect(events[events.length - 1].type).toBe(MetonaStreamEventType.DONE);
  });

  it('工具参数坏 JSON → _truncatedArguments 自愈，且同 chunk 后续 done 仍处理', async () => {
    const adapter = makeAdapter();
    mockNDJSON([
      {
        model: 'qwen3',
        message: {
          role: 'assistant',
          tool_calls: [{ function: { name: 'write', arguments: '{"path":"a","cont' } }],
        },
      },
      {
        model: 'qwen3',
        message: { role: 'assistant', content: '' },
        done: true,
        done_reason: 'stop',
        prompt_eval_count: 5,
        eval_count: 1,
      },
    ]);
    const events = await collectStream(adapter, makeRequest());
    const completes = events.filter((e) => e.type === MetonaStreamEventType.TOOL_CALL_COMPLETE);
    expect(completes).toHaveLength(1);
    const args = completes[0].toolCall!.args as Record<string, unknown>;
    expect(args._truncatedArguments).toBe(true);
    expect(String(args._truncatedReason)).toContain('truncated');
    // done/USAGE 未被吞
    expect(events.some((e) => e.type === MetonaStreamEventType.USAGE)).toBe(true);
    expect(events[events.length - 1].type).toBe(MetonaStreamEventType.DONE);
  });

  it('工具参数为对象类型 → 原样保留', async () => {
    const adapter = makeAdapter();
    mockNDJSON([
      {
        model: 'm',
        message: {
          role: 'assistant',
          tool_calls: [{ function: { name: 'f', arguments: { a: 1 } } }],
        },
      },
      { model: 'm', message: { role: 'assistant', content: '' }, done: true, done_reason: 'stop' },
    ]);
    const events = await collectStream(adapter, makeRequest());
    const complete = events.find((e) => e.type === MetonaStreamEventType.TOOL_CALL_COMPLETE);
    expect(complete?.toolCall?.args).toEqual({ a: 1 });
  });
});

// ===== 非流式 send 响应 =====

describe('OllamaAdapter — 非流式 send', () => {
  function mockJsonResponse(body: unknown): void {
    mockFetch.mockResolvedValue({
      ok: true,
      status: 200,
      json: async () => body,
    } as unknown as Response);
  }

  it('send 组装 MetonaResponse（含 perfStats / done_reason 映射）', async () => {
    const adapter = makeAdapter();
    mockJsonResponse({
      model: 'qwen3',
      message: { role: 'assistant', content: 'answer', thinking: 'trace' },
      done: true,
      done_reason: 'stop',
      prompt_eval_count: 4,
      eval_count: 3,
      load_duration: 1_000_000,
      eval_duration: 2_000_000_000,
    });
    const res = await adapter.send(makeRequest({ params: { stream: false } }));
    expect(res.content).toBe('answer');
    expect(res.reasoningContent).toBe('trace');
    expect(res.usage.totalTokens).toBe(7);
    expect(res.finishReason).toBe('stop');
    expect(res.meta.perfStats).toMatchObject({
      loadDurationMs: 1,
      evalDurationMs: 2000,
    });
  });

  it('done_reason=length → LENGTH finishReason', async () => {
    const adapter = makeAdapter();
    mockJsonResponse({
      message: { role: 'assistant', content: 'cut' },
      done: true,
      done_reason: 'length',
      prompt_eval_count: 1,
      eval_count: 100,
    });
    const res = await adapter.send(makeRequest());
    expect(res.finishReason).toBe('length');
  });

  it('message.tool_calls 存在 → TOOL_CALLS finishReason（done_reason 无关）', async () => {
    const adapter = makeAdapter();
    mockJsonResponse({
      message: {
        role: 'assistant',
        content: '',
        tool_calls: [{ function: { name: 'f', arguments: '{"a":1}' } }],
      },
      done: true,
      done_reason: 'stop',
      prompt_eval_count: 0,
      eval_count: 0,
    });
    const res = await adapter.send(makeRequest());
    expect(res.finishReason).toBe('tool_calls');
    expect(res.toolCalls).toHaveLength(1);
  });

  it('非流式坏参 → _truncatedArguments 自愈', async () => {
    const adapter = makeAdapter();
    mockJsonResponse({
      message: {
        role: 'assistant',
        content: '',
        tool_calls: [{ function: { name: 'f', arguments: '{bad' } }],
      },
      done: true,
      done_reason: 'tool_calls',
      prompt_eval_count: 0,
      eval_count: 0,
    });
    const res = await adapter.send(makeRequest());
    const args = res.toolCalls![0].args as Record<string, unknown>;
    expect(args._truncatedArguments).toBe(true);
  });

  it('HTTP 错误 → throwHttpError 携带 status', async () => {
    const adapter = makeAdapter();
    mockFetch.mockResolvedValue({
      ok: false,
      status: 500,
      statusText: 'Internal Server Error',
      text: async () => 'oops',
    } as unknown as Response);
    const err = await adapter.send(makeRequest()).catch((e: unknown) => e);
    expect((err as Error & { status?: number }).status).toBe(500);
  });
});

// ===== pullModel =====

describe('OllamaAdapter — pullModel 进度 / 取消', () => {
  it('进度逐行回调（status/completed/total），结束后 resolve', async () => {
    const adapter = makeAdapter();
    const lines = [
      { status: 'pulling manifest' },
      { status: 'downloading', completed: 50, total: 100 },
      { status: 'downloading', completed: 100, total: 100 },
      { status: 'success', completed: 100, total: 100 },
    ];
    const body = new ReadableStream<Uint8Array>({
      start(controller) {
        const encoder = new TextEncoder();
        for (const l of lines) controller.enqueue(encoder.encode(JSON.stringify(l) + '\n'));
        controller.close();
      },
    });
    mockFetch.mockResolvedValue(new Response(body, { status: 200 }));

    const progress: Array<Record<string, unknown>> = [];
    await adapter.pullModel('qwen3:8b', (p) => progress.push(p as Record<string, unknown>));

    expect(progress).toHaveLength(4);
    expect(progress[1]).toEqual({ status: 'downloading', completed: 50, total: 100 });
    expect(mockFetch).toHaveBeenCalledWith(
      'http://localhost:11434/api/pull',
      expect.objectContaining({ body: JSON.stringify({ model: 'qwen3:8b', stream: true }) }),
    );
  });

  it('非 JSON 行（进度提示）被跳过不中断', async () => {
    const adapter = makeAdapter();
    const body = new ReadableStream<Uint8Array>({
      start(controller) {
        const encoder = new TextEncoder();
        controller.enqueue(encoder.encode('some text line\n'));
        controller.enqueue(encoder.encode(JSON.stringify({ status: 'success' }) + '\n'));
        controller.close();
      },
    });
    mockFetch.mockResolvedValue(new Response(body, { status: 200 }));
    const progress: Array<Record<string, unknown>> = [];
    await adapter.pullModel('m', (p) => progress.push(p as Record<string, unknown>));
    expect(progress).toEqual([{ status: 'success' }]);
  });

  it('取消信号中止底层 fetch（signal 透传）', async () => {
    const adapter = makeAdapter();
    const controller = new AbortController();
    const signalSpy = vi.fn();
    mockFetch.mockImplementation((_url: string, init: RequestInit) => {
      init.signal?.addEventListener('abort', signalSpy);
      return new Promise<Response>((_r, rej) => {
        init.signal?.addEventListener('abort', () =>
          rej(new DOMException('aborted', 'AbortError')),
        );
      });
    });
    const promise = adapter.pullModel('qwen3:8b', undefined, controller.signal);
    controller.abort();
    await expect(promise).rejects.toMatchObject({ name: 'AbortError' });
    expect(signalSpy).toHaveBeenCalled();
  });

  it('HTTP 非 2xx → 抛 Ollama pull error', async () => {
    const adapter = makeAdapter();
    mockFetch.mockResolvedValue({ ok: false, status: 404, body: null } as unknown as Response);
    await expect(adapter.pullModel('nope')).rejects.toThrow('Ollama pull error: 404');
  });
});

// ===== probeCapabilities / showModel / listModels =====

describe('OllamaAdapter — 能力探测', () => {
  it('probeCapabilities 从 capabilities[] 解析三能力', async () => {
    const adapter = makeAdapter();
    mockFetch.mockResolvedValue({
      ok: true,
      status: 200,
      json: async () => ({
        parameters: '',
        template: '',
        capabilities: ['tools', 'vision', 'thinking'],
      }),
    } as unknown as Response);
    const caps = await adapter.probeCapabilities('qwen3');
    expect(caps).toEqual({ supportsTools: true, supportsVision: true, supportsThinking: true });
  });

  // v0.8.1: showModel 保留 undefined 语义 —— 响应缺 capabilities 字段 = 未知 → null
  //（fail-open），不再把"字段缺失"与"权威空"混同（探测竞态下曾误判不支持思考）
  it('capabilities 字段缺失 → 返回 null（未知，fail-open）', async () => {
    const adapter = makeAdapter();
    mockFetch.mockResolvedValue({
      ok: true,
      status: 200,
      json: async () => ({ parameters: '', template: '' }),
    } as unknown as Response);
    expect(await adapter.probeCapabilities('qwen3')).toBeNull();
  });

  it('capabilities 为显式空数组（服务端权威无能力）→ 三能力全 false', async () => {
    const adapter = makeAdapter();
    mockFetch.mockResolvedValue({
      ok: true,
      status: 200,
      json: async () => ({ parameters: '', template: '', capabilities: [] }),
    } as unknown as Response);
    expect(await adapter.probeCapabilities('qwen3')).toEqual({
      supportsTools: false,
      supportsVision: false,
      supportsThinking: false,
    });
  });

  it('showModel 失败 → probeCapabilities 返回 null（调用方回退保守 true）', async () => {
    const adapter = makeAdapter();
    mockFetch.mockRejectedValue(new Error('down'));
    expect(await adapter.probeCapabilities('qwen3')).toBeNull();
  });

  it('showModel 非 2xx → null', async () => {
    const adapter = makeAdapter();
    mockFetch.mockResolvedValue({ ok: false, status: 500 } as unknown as Response);
    expect(await adapter.showModel('m')).toBeNull();
  });

  it('showModel 网络异常 → null（不抛出）', async () => {
    const adapter = makeAdapter();
    mockFetch.mockRejectedValue(new Error('ECONNREFUSED'));
    expect(await adapter.showModel('m')).toBeNull();
  });

  it('listModels：/api/tags 成功 → 逐模型探测并组装元信息', async () => {
    // 构造时的 fire-and-forget /api/show 探测会先消费第一个 mock → 先给良性响应
    mockFetch
      .mockResolvedValueOnce({
        ok: true,
        status: 200,
        json: async () => ({ parameters: '' }),
      } as unknown as Response)
      .mockResolvedValueOnce({
        ok: true,
        status: 200,
        json: async () => ({
          models: [
            {
              name: 'qwen3',
              size: 123,
              details: { family: 'qwen', parameter_size: '8B', quantization_level: 'Q4' },
            },
          ],
        }),
      } as unknown as Response)
      .mockResolvedValue({
        ok: true,
        status: 200,
        json: async () => ({ parameters: '', template: '', capabilities: ['tools', 'vision'] }),
      } as unknown as Response);
    const adapter = makeAdapter();
    const models = await adapter.listModels();
    expect(models).toHaveLength(1);
    expect(models[0]).toMatchObject({
      id: 'qwen3',
      supportsToolCalling: true,
      supportsVision: true,
      supportsThinking: false,
    });
    expect(models[0].description).toContain('qwen / 8B / Q4');
  });

  it('listModels：API 失败 → 降级 supportedModels', async () => {
    const adapter = makeAdapter();
    mockFetch.mockRejectedValue(new Error('network'));
    const models = await adapter.listModels();
    expect(models.map((m) => m.id)).toEqual([
      'qwen3:latest',
      'gemma3:latest',
      'deepseek-r1:latest',
    ]);
  });

  it('getVersion 成功返回版本号；失败返回 unknown', async () => {
    const adapter = makeAdapter();
    mockFetch.mockResolvedValue({
      ok: true,
      status: 200,
      json: async () => ({ version: '0.5.1' }),
    } as unknown as Response);
    expect(await adapter.getVersion()).toBe('0.5.1');

    mockFetch.mockReset();
    mockFetch.mockRejectedValue(new Error('down'));
    expect(await adapter.getVersion()).toBe('unknown');
  });

  it('listRunning 映射运行中模型；失败返回空数组', async () => {
    const adapter = makeAdapter();
    mockFetch.mockResolvedValue({
      ok: true,
      status: 200,
      json: async () => ({
        models: [{ name: 'qwen3', size: 100, size_vram: 90, context_length: 4096 }],
      }),
    } as unknown as Response);
    const running = await adapter.listRunning();
    expect(running[0]).toEqual({ name: 'qwen3', size: 100, sizeVram: 90, contextLength: 4096 });

    mockFetch.mockReset();
    mockFetch.mockRejectedValue(new Error('down'));
    expect(await adapter.listRunning()).toEqual([]);
  });
});

// ===== 图片 URL → base64 =====

describe('OllamaAdapter — 图片归一化', () => {
  function okChatResponse(): Response {
    return {
      ok: true,
      status: 200,
      json: async () => ({
        message: { role: 'assistant', content: 'ok' },
        done: true,
        done_reason: 'stop',
      }),
    } as unknown as Response;
  }

  function lastBody(): Record<string, unknown> {
    const calls = mockFetch.mock.calls;
    const chatCall = calls.find(([url]) => String(url).includes('/api/chat')) as [
      string,
      RequestInit,
    ];
    return JSON.parse(String(chatCall[1].body));
  }

  it('http URL 图片下载为纯 base64（无 data: 前缀）', async () => {
    const adapter = makeAdapter();
    const imageBytes = new TextEncoder().encode('IMG-BYTES');
    // v0.8.2 P0-1: 下载经 SSRF 安全通道（注入受控下载器）
    const restore = __imageFetcher.current;
    __imageFetcher.current = (async () =>
      new Response(imageBytes, {
        status: 200,
        headers: { 'content-type': 'image/png' },
      })) as unknown as ImageFetcher;
    try {
      mockFetch.mockResolvedValue(okChatResponse());
      await adapter.send(
        makeRequest({
          messages: [
            {
              role: 'user',
              content: '看图',
              images: [{ url: 'https://example.com/pic.png' }],
              timestamp: Date.now(),
            },
          ],
        }),
      );
      const body = lastBody();
      const userMsg = (body.messages as Array<Record<string, unknown>>).find(
        (m) => m.role === 'user',
      );
      expect(userMsg!.images).toEqual([Buffer.from('IMG-BYTES').toString('base64')]);
    } finally {
      __imageFetcher.current = restore;
    }
  });

  it('http URL 下载失败 → 图片被忽略（空数组/不发送），请求不阻断', async () => {
    const adapter = makeAdapter();
    const restore = __imageFetcher.current;
    __imageFetcher.current = (async () => {
      throw new Error('ECONNREFUSED');
    }) as unknown as ImageFetcher;
    try {
      mockFetch.mockResolvedValue(okChatResponse());
      const res = await adapter.send(
        makeRequest({
          messages: [
            {
              role: 'user',
              content: '看图',
              images: [{ url: 'https://example.com/pic.png' }],
              timestamp: Date.now(),
            },
          ],
        }),
      );
      expect(res.content).toBe('ok');
    } finally {
      __imageFetcher.current = restore;
    }
  });

  it('data URI 图片剥前缀；纯 base64 原样保留', async () => {
    const adapter = makeAdapter();
    mockFetch.mockResolvedValue(okChatResponse());
    await adapter.send(
      makeRequest({
        messages: [
          {
            role: 'user',
            content: '看图',
            images: [
              { url: 'data:image/png;base64,AAAABBBB' },
              { url: 'iVBORw0KGgo', detail: 'high' },
            ],
            timestamp: Date.now(),
          },
        ],
      }),
    );
    const body = lastBody();
    const userMsg = (body.messages as Array<Record<string, unknown>>).find(
      (m) => m.role === 'user',
    );
    expect(userMsg!.images).toEqual(['AAAABBBB', 'iVBORw0KGgo']);
  });

  it('HTTP 下载响应非 2xx → 图片降级忽略', async () => {
    const adapter = makeAdapter();
    const restore = __imageFetcher.current;
    __imageFetcher.current = (async () =>
      new Response(null, { status: 404 })) as unknown as ImageFetcher;
    try {
      mockFetch.mockResolvedValue(okChatResponse());
      await adapter.send(
        makeRequest({
          messages: [
            {
              role: 'user',
              content: '看图',
              images: [{ url: 'https://example.com/missing.png' }],
              timestamp: Date.now(),
            },
          ],
        }),
      );
      const body = lastBody();
      const userMsg = (body.messages as Array<Record<string, unknown>>).find(
        (m) => m.role === 'user',
      );
      expect(userMsg!.images).toEqual([]);
    } finally {
      __imageFetcher.current = restore;
    }
  });
});

// ===== getContextWindow =====

describe('OllamaAdapter — getContextWindow（v0.8.1：唯一来源是设置面板配置）', () => {
  it('未配置 contextWindow → 返回 0（无 4096 写死兜底，引擎跳过压缩判定）', () => {
    const adapter = makeAdapter();
    expect(adapter.getContextWindow()).toBe(0);
  });

  it('config.contextWindow（llm.contextWindow 注入）→ 返回配置值', () => {
    const adapter = makeAdapter('qwen3', { contextWindow: 32_768 });
    expect(adapter.getContextWindow()).toBe(32_768);
  });

  it('/api/show 探测不再缓存窗口数值（num_ctx 由引擎 contextLength 下发）', async () => {
    mockFetch.mockResolvedValue({
      ok: true,
      status: 200,
      json: async () => ({ parameters: 'num_ctx 32768', template: '', capabilities: [] }),
    } as unknown as Response);
    const adapter = makeAdapter();
    // 探测完成（含失败路径）后窗口仍为 0 —— 探测只服务于能力门控
    await new Promise((r) => setTimeout(r, 20));
    expect(adapter.getContextWindow()).toBe(0);
  });

  it('探测失败（网络错误）→ 仍返回配置值/0，不抛错不阻塞', async () => {
    mockFetch.mockRejectedValue(new Error('down'));
    const adapter = makeAdapter();
    await new Promise((r) => setTimeout(r, 20));
    expect(adapter.getContextWindow()).toBe(0);
  });
});