/**
 * MemoryMaintainer 测试（v0.8.1 P1-2 MEMORY.md 维护闭环）
 *
 * 锁定契约：
 * 1. parseMemoryEntries / buildMemoryEntriesDigest —— 分区条目摘要（纯条目行，
 *    消除 Consolidator 旧全文截断的去重盲区）
 * 2. apply 的精确匹配防线 —— LLM 建议的 entry 必须原样存在，防幻觉改写无关内容
 * 3. delete/update 动作重写 MEMORY.md + 同步 semantic_memories 双轨一致
 */

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 { MemoryMaintainer, parseMemoryEntries, buildMemoryEntriesDigest } from '../maintainer';
import type { MemoryMaintenanceAction } from '../maintainer';

const SAMPLE = `# MEMORY.md — AI 持久记忆
> 最后更新: 2026-09-07

## 用户偏好
- [沟通风格] 用户喜欢简洁的回答
- [工具偏好] 项目使用 pnpm

## 项目上下文
- [Metona] 技术栈: Electron + React

## 待办事项
- [done] 旧待办已完成
`;

describe('parseMemoryEntries / buildMemoryEntriesDigest（v0.8.1 P1-2）', () => {
  it('解析分区与条目（跳过元数据头）', () => {
    const sections = parseMemoryEntries(SAMPLE);
    expect(sections).toHaveLength(3);
    expect(sections[0].section).toBe('用户偏好');
    expect(sections[0].entries).toEqual([
      '[沟通风格] 用户喜欢简洁的回答',
      '[工具偏好] 项目使用 pnpm',
    ]);
  });

  it('digest 为纯条目行形态且条目全文可见（无 3000 字符截断盲区）', () => {
    const digest = buildMemoryEntriesDigest(parseMemoryEntries(SAMPLE));
    expect(digest).toContain('## 用户偏好');
    expect(digest).toContain('- [沟通风格] 用户喜欢简洁的回答');
    // 旧全文形态的头部元数据不进入 digest
    expect(digest).not.toContain('最后更新');
    // 超过旧 3000 字符预算的记忆尾部条目同样完整进入 digest
    const manyEntries = Array.from({ length: 200 }, (_, i) => `- 条目 ${i} ${'x'.repeat(20)}`);
    const bigMemory = `## 项目上下文\n${manyEntries.join('\n')}`;
    const bigDigest = buildMemoryEntriesDigest(parseMemoryEntries(bigMemory));
    expect(bigDigest).toContain('条目 199');
  });
});

describe('MemoryMaintainer.apply — 精确匹配与双轨同步', () => {
  function makeMaintainer(memory: string): {
    maintainer: MemoryMaintainer;
    getMemory: () => string;
    db: { prepare(sql: string): { run(...args: unknown[]): { changes: number } } };
  } {
    let current = memory;
    const semanticRows: Array<{ content: string }> = [{ content: '[沟通风格] 用户喜欢简洁的回答' }];
    const db = {
      prepare: (sql: string) => ({
        run: (...args: unknown[]) => {
          if (sql.startsWith('DELETE')) {
            const before = semanticRows.length;
            const target = semanticRows.find((r) => r.content === args[0]);
            if (target) semanticRows.splice(semanticRows.indexOf(target), 1);
            return { changes: before - semanticRows.length };
          }
          if (sql.startsWith('UPDATE')) {
            const row = semanticRows.find((r) => r.content === args[2]);
            if (row) {
              row.content = args[0] as string;
              return { changes: 1 };
            }
            return { changes: 0 };
          }
          return { changes: 0 };
        },
      }),
    };
    const maintainer = new MemoryMaintainer(
      () => {
        throw new Error('not used in apply');
      },
      {
        getFiles: () => ({ soul: '', memory: current }),
        rewriteMemory: (content: string) => {
          current = content;
        },
      } as never,
      () => db as never,
    );
    return { maintainer, getMemory: () => current, db };
  }

  it('delete 精确命中 → 行被移除；未命中条目被跳过（防幻觉改写）', () => {
    const { maintainer, getMemory } = makeMaintainer(SAMPLE);
    const actions: MemoryMaintenanceAction[] = [
      { action: 'delete', section: '待办事项', entry: '[done] 旧待办已完成' },
      // 幻觉条目：文件中不存在 → 必须跳过
      { action: 'delete', section: '用户偏好', entry: '不存在的条目' },
    ];
    const result = maintainer.apply(actions);
    expect(result.applied).toBe(1);
    expect(result.skipped).toBe(1);
    const after = getMemory();
    expect(after).not.toContain('[done] 旧待办已完成');
    expect(after).toContain('用户喜欢简洁的回答');
    expect(after).toContain('## 待办事项'); // 分区头保留（空分区仍保留结构）
  });

  it('update（合并）→ 替换条目并同步 semantic_memories', () => {
    const { maintainer, getMemory, db } = makeMaintainer(SAMPLE);
    const actions: MemoryMaintenanceAction[] = [
      {
        action: 'update',
        section: '用户偏好',
        entry: '[沟通风格] 用户喜欢简洁的回答',
        newEntry: '[沟通风格] 用户喜欢简洁的回答，不需要过度解释',
      },
    ];
    const result = maintainer.apply(actions);
    expect(result.applied).toBe(1);
    expect(getMemory()).toContain('不需要过度解释');
    const row = db
      .prepare('SELECT * FROM semantic_memories WHERE content = ?')
      .run('[沟通风格] 用户喜欢简洁的回答，不需要过度解释');
    expect(row).toBeDefined();
  });

  it('动作数上限 30（防 LLM 过度建议）', () => {
    const { maintainer } = makeMaintainer(SAMPLE);
    const actions: MemoryMaintenanceAction[] = Array.from({ length: 40 }, () => ({
      action: 'delete' as const,
      section: '待办事项',
      entry: '不存在的条目',
    }));
    const result = maintainer.apply(actions);
    expect(result.skipped).toBe(40);
    expect(result.applied).toBe(0);
  });
});

describe('MemoryMaintainer.analyze — sectionEntryCounts（v0.8.1 review O2）', () => {
  function makeAnalyzer(
    memory: string,
    llmReply: string,
  ): {
    maintainer: MemoryMaintainer;
  } {
    const adapter = {
      send: vi.fn().mockResolvedValue({ content: llmReply }),
    } as never;
    return {
      maintainer: new MemoryMaintainer(
        () => adapter,
        {
          getFiles: () => ({ soul: '', memory }),
          rewriteMemory: () => {},
        } as never,
        (() => ({})) as never,
      ),
    };
  }

  it('proposal 携带各分区条目数（空分区提示的数据源）', async () => {
    const { maintainer } = makeAnalyzer(
      SAMPLE,
      '[{"action":"delete","section":"待办事项","entry":"[done] 旧待办已完成","reason":"已完成"}]',
    );
    const proposal = await maintainer.analyze();
    expect(proposal.sectionEntryCounts['待办事项']).toBe(1);
    expect(proposal.sectionEntryCounts['用户偏好']).toBe(2);
  });
});