/**
 * Provider 请求形态测试矩阵（v0.6.4 P2-6）
 *
 * 此前 ollama（599 行）/ anthropic（532 行）两个最复杂的适配器零测试 —— 恰好也是
 * 本轮审计中缺陷密度最高的文件。本文件通过 mock fetch 记录真实请求体，
 * 锁定以下契约：
 *
 * Anthropic:
 *  A1 消息转换（system 顶层 / user-assistant-tool 三角色映射 / 孤立 tool_result 过滤）
 *  A2 max_tokens 按模型钳制（引擎默认 63488 → sonnet 64000 / opus 32000）
 *  A3 thinking 预算下限保护（小 maxTokens 场景 budget≥1024 且 < max_tokens，此前 API 400）
 *  A4 thinking 开启时不传 temperature；关闭时显式传递
 *
 * Ollama:
 *  O1 options 映射（num_predict=numTokens、num_ctx=contextLength、stop、top_p）
 *  O2 think 参数 effort 映射（low→"low"、max→true）与未配置时缺省
 *  O3 图片归一化（data URI 剥前缀；无 URL 触发下载分支时零网络请求）
 *
 * Agnes:
 *  G1 思考模式对称性 —— thinkingEnabled=false 必须显式发送 enable_thinking:false
 */

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

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

import { AnthropicAdapter } from '../anthropic.adapter';
import { OllamaAdapter } from '../ollama.adapter';
import { MimoAdapter } from '../mimo.adapter';
import { AgnesAdapter } from '../agnes-ai.adapter';
import type { MetonaRequest } from '../../types';

/** 安装全局 fetch 捕获器：记录每次请求体并返回一个三家协议都能解析的合成响应 */
function captureFetch(): { bodies: Array<Record<string, unknown>> } {
  const bodies: Array<Record<string, unknown>> = [];
  // 兼容三家的非流式解析所需的最小字段集：
  // OpenAI 兼容(agnes): choices[].message/finish_reason；Anthropic: content[]/usage/stop_reason；
  // Ollama: message/done/prompt_eval_count/eval_count
  const genericBody = {
    id: 'cmpl-test',
    object: 'chat.completion',
    created: Date.now(),
    model: 'test-model',
    choices: [{ index: 0, message: { role: 'assistant', content: 'ok' }, finish_reason: 'stop' }],
    content: [],
    usage: {
      prompt_tokens: 3,
      completion_tokens: 2,
      total_tokens: 5,
      input_tokens: 3,
      output_tokens: 2,
      prompt_eval_count: 3,
      eval_count: 2,
    },
    stop_reason: 'end_turn',
    message: { role: 'assistant', content: 'ok' },
    done: true,
  };
  const fetchMock = vi.fn(async (_url: string | URL, init?: RequestInit) => {
    bodies.push(JSON.parse(String(init?.body ?? '{}')) as Record<string, unknown>);
    return new Response(JSON.stringify(genericBody), {
      status: 200,
      headers: { 'Content-Type': 'application/json' },
    });
  });
  vi.stubGlobal('fetch', fetchMock);
  return { bodies };
}

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: 'Be concise.',
      safetyGuidelines: 'Stay safe.',
      dynamicReminders: '',
    },
    messages: [{ role: 'user', content: 'hi', timestamp: Date.now() }],
    params: { maxTokens: 63_488, temperature: 0, stream: false },
    ...overrides,
  };
}

// ===== Anthropic =====

describe('AnthropicAdapter — 请求体契约', () => {
  it('A1: system 拼为顶层字段；tool 结果映射为 user 角色 tool_result 块', async () => {
    const adapter = new AnthropicAdapter({
      provider: 'anthropic',
      baseURL: 'http://a.test',
      apiKey: 'k',
      defaultModel: 'claude-sonnet-4-5',
    });
    const { bodies } = captureFetch();
    await adapter.send(
      makeRequest({
        messages: [
          { role: 'user', content: 'read it', timestamp: Date.now() },
          {
            role: 'assistant',
            content: null,
            toolCalls: [
              {
                id: 'tc_1',
                name: 'read_file',
                args: { path: 'a.txt' },
                iteration: 1,
                timestamp: Date.now(),
              },
            ],
            timestamp: Date.now(),
          },
          {
            role: 'tool',
            content: null,
            toolResult: {
              toolCallId: 'tc_1',
              toolName: 'read_file',
              result: 'data',
              success: true,
              durationMs: 1,
              timestamp: Date.now(),
            },
            timestamp: Date.now(),
          },
          // 孤立 tool_result（前面没有对应 tool_use）应被过滤
          {
            role: 'tool',
            content: null,
            toolResult: {
              toolCallId: 'tc_orphan',
              toolName: 'x',
              result: '',
              success: true,
              durationMs: 1,
              timestamp: Date.now(),
            },
            timestamp: Date.now(),
          },
          { role: 'user', content: 'next?', timestamp: Date.now() },
        ],
      }),
    );

    const body = bodies[0];
    // v0.7.3 P1-1: system 转为块数组并打 cache_control 断言（稳定前缀 prompt cache）
    const system = body.system as Array<{
      type: string;
      text: string;
      cache_control: { type: string };
    }>;
    expect(Array.isArray(system)).toBe(true);
    expect(system[0].text).toContain('You are Metona.');
    expect(system[0].cache_control).toEqual({ type: 'ephemeral' });
    expect(Array.isArray(body.messages)).toBe(true);
    const msgs = body.messages as Array<{ role: string; content: Array<Record<string, unknown>> }>;
    // tool_use 的 assistant 消息存在且携带 id/name
    const assistantToolMsg = msgs.find((m) => m.role === 'assistant');
    expect(assistantToolMsg?.content[0]).toMatchObject({
      type: 'tool_use',
      id: 'tc_1',
      name: 'read_file',
    });
    // tool 结果以 user 角色 tool_result 形态出现且配对 id 正确；孤立者被丢弃
    const toolResultBlocks = msgs.flatMap((m) => m.content.filter((c) => c.type === 'tool_result'));
    expect(toolResultBlocks).toHaveLength(1);
    expect(toolResultBlocks[0].tool_use_id).toBe('tc_1');
  });

  it('A2: max_tokens 按模型上限钳制（63488 → sonnet 64000 / opus 32000）', async () => {
    const sonnet = new AnthropicAdapter({
      provider: 'anthropic',
      baseURL: 'http://a.test',
      apiKey: 'k',
      defaultModel: 'claude-sonnet-4-5',
    });
    const opus = new AnthropicAdapter({
      provider: 'anthropic',
      baseURL: 'http://a.test',
      apiKey: 'k',
      defaultModel: 'claude-opus-4-1',
    });
    const { bodies } = captureFetch();
    await sonnet.send(makeRequest());
    await opus.send(makeRequest());
    // 引擎默认 63488 低于 sonnet 上限 64000 → 原样保留；opus 上限 32000 → 钳制生效
    expect(bodies[0].max_tokens).toBe(63_488);
    expect(bodies[1].max_tokens).toBe(32_000);
  });

  it('A3: 小 maxTokens 时 thinking budget 不跌破协议下限 1024（v0.6.4 边界加固）', async () => {
    const adapter = new AnthropicAdapter({
      provider: 'anthropic',
      baseURL: 'http://a.test',
      apiKey: 'k',
      defaultModel: 'claude-haiku-4-5',
    });
    const { bodies } = captureFetch();
    await adapter.send(
      makeRequest({
        params: {
          maxTokens: 1500,
          temperature: 0,
          stream: false,
          thinkingEnabled: true,
          thinkingEffort: 'low',
        },
      }),
    );
    const body = bodies[0];
    const thinking = body.thinking as { type: string; budget_tokens: number };
    // max_tokens 被抬升到安全下限，budget 落在 [1024, max_tokens/2] 区间内
    expect(body.max_tokens as number).toBeGreaterThanOrEqual(2048);
    expect(thinking.budget_tokens).toBeGreaterThanOrEqual(1024);
    expect(thinking.budget_tokens).toBeLessThanOrEqual((body.max_tokens as number) / 2);
  });

  it('A4: thinking 开启不传 temperature；关闭时显式传递', async () => {
    const adapter = new AnthropicAdapter({
      provider: 'anthropic',
      baseURL: 'http://a.test',
      apiKey: 'k',
      defaultModel: 'claude-sonnet-4-5',
    });
    const { bodies } = captureFetch();
    await adapter.send(
      makeRequest({
        params: { maxTokens: 4096, temperature: 0.7, stream: false, thinkingEnabled: true },
      }),
    );
    expect(bodies[0].temperature).toBeUndefined();
    expect(bodies[0].thinking).toBeDefined();

    await adapter.send(
      makeRequest({
        params: { maxTokens: 4096, temperature: 0.7, stream: false, thinkingEnabled: false },
      }),
    );
    expect(bodies[1].temperature).toBe(0.7);
    expect(bodies[1].thinking).toBeUndefined();
  });
});

// ===== Ollama =====

describe('OllamaAdapter — 请求体契约', () => {
  function makeOllama(): OllamaAdapter {
    return new OllamaAdapter({
      provider: 'ollama',
      baseURL: 'http://localhost:11434',
      defaultModel: 'qwen3',
    });
  }

  it('O1: options 映射 num_predict/num_ctx/stop/top_p/temperature', async () => {
    const adapter = makeOllama();
    const { bodies } = captureFetch();
    await adapter.send(
      makeRequest({
        params: {
          maxTokens: 8192,
          temperature: 0.3,
          topP: 0.9,
          stream: false,
          contextLength: 16384,
          stopSequences: ['STOP'],
        },
      }),
    );
    const options = bodies[0].options as Record<string, unknown>;
    expect(options.num_predict).toBe(8192);
    expect(options.num_ctx).toBe(16384);
    expect(options.temperature).toBe(0.3);
    expect(options.top_p).toBe(0.9);
    expect(options.stop).toEqual(['STOP']);
  });

  it('O2: think 参数 effort 映射（low→"low"、max→true）；未开启思考时缺省', async () => {
    const adapter = makeOllama();
    const { bodies } = captureFetch();

    await adapter.send(
      makeRequest({
        params: {
          maxTokens: 4096,
          temperature: 0,
          stream: false,
          thinkingEnabled: true,
          thinkingEffort: 'low',
        },
      }),
    );
    expect(bodies[0].think).toBe('low');

    await adapter.send(
      makeRequest({
        params: {
          maxTokens: 4096,
          temperature: 0,
          stream: false,
          thinkingEnabled: true,
          thinkingEffort: 'max',
        },
      }),
    );
    expect(bodies[1].think).toBe(true);

    await adapter.send(
      makeRequest({
        params: { maxTokens: 4096, temperature: 0, stream: false, thinkingEnabled: false },
      }),
    );
    expect(bodies[2].think).toBeUndefined();
  });

  it('O3: data URI 图片剥前缀转纯 base64 数组（无网络下载路径触发）', async () => {
    const adapter = makeOllama();
    const { bodies } = captureFetch();
    await adapter.send(
      makeRequest({
        messages: [
          {
            role: 'user',
            content: '看图',
            images: [{ url: 'data:image/png;base64,iVBORw0KGgoAAAANSU', detail: 'auto' }],
            timestamp: Date.now(),
          },
        ],
      }),
    );
    const messages = bodies[0].messages as Array<Record<string, unknown>>;
    const userMsg = messages[messages.length - 1];
    expect(userMsg.images).toEqual(['iVBORw0KGgoAAAANSU']);
  });
});

// ===== MiMo providerOptions（v0.6.4 P4-3） =====

describe('MimoAdapter — 服务端能力扩展（providerOptions）', () => {
  it('enableWebSearch 开启时附加 {type:web_search} 服务端工具', async () => {
    const adapter = new MimoAdapter({
      provider: 'mimo',
      baseURL: 'http://m.test/v1',
      apiKey: 'k',
      defaultModel: 'mimo-v2.5',
      providerOptions: { enableWebSearch: true },
    });
    const { bodies } = captureFetch();
    await adapter.send(makeRequest());
    const tools = bodies[0].tools as Array<Record<string, unknown>>;
    expect(tools.some((tc) => (tc as { type?: string }).type === 'web_search')).toBe(true);
    expect(bodies[0].tool_choice).toBe('auto');
  });

  it('responseFormatJson 开启时写入 response_format json_object；默认不写', async () => {
    const on = new MimoAdapter({
      provider: 'mimo',
      baseURL: 'http://m.test/v1',
      apiKey: 'k',
      defaultModel: 'mimo-v2.5',
      providerOptions: { responseFormatJson: true },
    });
    const off = new MimoAdapter({
      provider: 'mimo',
      baseURL: 'http://m.test/v1',
      apiKey: 'k',
      defaultModel: 'mimo-v2.5',
    });
    const { bodies } = captureFetch();
    await on.send(makeRequest());
    await off.send(makeRequest());
    expect(bodies[0].response_format).toEqual({ type: 'json_object' });
    expect(bodies[1].response_format).toBeUndefined();
  });
});

// ===== Agnes =====

describe('AgnesAdapter — 思考模式对称性（v0.6.4）', () => {
  it('G1: thinkingEnabled=false 显式发送 enable_thinking:false（此前无法关闭服务端默认思考）', async () => {
    const adapter = new AgnesAdapter({
      provider: 'agnes',
      baseURL: 'http://g.test/v1',
      apiKey: 'k',
      defaultModel: 'agnes-2.0-flash',
    });
    const { bodies } = captureFetch();

    await adapter.send(
      makeRequest({
        params: {
          maxTokens: 4096,
          temperature: 0,
          stream: false,
          thinkingEnabled: true,
          thinkingEffort: 'high',
        },
      }),
    );
    expect(
      ((bodies[0].chat_template_kwargs as Record<string, unknown>) ?? {}).enable_thinking,
    ).toBe(true);

    await adapter.send(
      makeRequest({
        params: { maxTokens: 4096, temperature: 0, stream: false, thinkingEnabled: false },
      }),
    );
    expect(
      ((bodies[1].chat_template_kwargs as Record<string, unknown>) ?? {}).enable_thinking,
    ).toBe(false);

    // 未配置 thinkingEnabled 同样视为关闭（显式 disabled 保持与服务端默认的确定性）
    await adapter.send(makeRequest({ params: { maxTokens: 4096, temperature: 0, stream: false } }));
    expect(
      ((bodies[2].chat_template_kwargs as Record<string, unknown>) ?? {}).enable_thinking,
    ).toBe(false);
  });
});