import { readFileSync } from 'node:fs';
import { createRequire } from 'node:module';
import { resolve } from 'node:path';
import { describe, expect, it } from 'vitest';
import * as XLSX from 'xlsx';

const require = createRequire(import.meta.url);
const { parseTableByFileName, parseXlsxBuffer } = require('../miniapp/utils/sankey.js') as {
  parseTableByFileName: (fileName: string, payload: string | ArrayBuffer) => {
    headers: string[];
    rows: string[][];
  };
  parseXlsxBuffer: (buffer: ArrayBuffer) => {
    headers: string[];
    rows: string[][];
  };
};

describe('miniapp utils sankey', () => {
  it('按文件后缀分流解析 csv', () => {
    const table = parseTableByFileName('demo.csv', 'source,value,target\nA,12,T1');
    expect(table.headers).toEqual(['source', 'value', 'target']);
    expect(table.rows).toEqual([['A', '12', 'T1']]);
  });

  it('按文件后缀分流解析 xlsx', () => {
    const filePath = resolve(process.cwd(), 'data/example0.xlsx');
    const buffer = readFileSync(filePath);
    const arrayBuffer = buffer.buffer.slice(buffer.byteOffset, buffer.byteOffset + buffer.byteLength);
    const table = parseTableByFileName('demo.xlsx', arrayBuffer);

    expect(table.headers.length).toBeGreaterThan(1);
    expect(table.rows.length).toBeGreaterThan(0);
  });

  it('直接解析 xlsx buffer', () => {
    const filePath = resolve(process.cwd(), 'data/example0.xlsx');
    const buffer = readFileSync(filePath);
    const arrayBuffer = buffer.buffer.slice(buffer.byteOffset, buffer.byteOffset + buffer.byteLength);
    const table = parseXlsxBuffer(arrayBuffer);

    expect(table.headers.length).toBeGreaterThan(1);
    expect(table.rows.length).toBeGreaterThan(0);
  });

  it('xlsx !ref 范围虚高时，不应错误膨胀行列数量', () => {
    const sheet = XLSX.utils.aoa_to_sheet([
      ['source', 'target', 'value'],
      ['A', 'B', 1]
    ]);
    sheet['!ref'] = 'A1:H20';
    const workbook = XLSX.utils.book_new();
    XLSX.utils.book_append_sheet(workbook, sheet, 'S1');
    const buffer = XLSX.write(workbook, { bookType: 'xlsx', type: 'buffer' });
    const arrayBuffer = buffer.buffer.slice(buffer.byteOffset, buffer.byteOffset + buffer.byteLength);

    const table = parseXlsxBuffer(arrayBuffer);

    expect(table.headers).toEqual(['source', 'target', 'value']);
    expect(table.rows).toEqual([['A', 'B', '1']]);
  });

  it('xlsx 中 0 值应被正确保留', () => {
    const sheet = XLSX.utils.aoa_to_sheet([
      ['source', 'target', 'value'],
      ['A', 'B', 0]
    ]);
    const workbook = XLSX.utils.book_new();
    XLSX.utils.book_append_sheet(workbook, sheet, 'S1');
    const buffer = XLSX.write(workbook, { bookType: 'xlsx', type: 'buffer' });
    const arrayBuffer = buffer.buffer.slice(buffer.byteOffset, buffer.byteOffset + buffer.byteLength);

    const table = parseXlsxBuffer(arrayBuffer);

    expect(table.rows).toEqual([['A', 'B', '0']]);
  });

  it('xlsx 中常见中文乱码应尝试自动恢复', () => {
    const sheet = XLSX.utils.aoa_to_sheet([['人數'], ['张三']]);
    const workbook = XLSX.utils.book_new();
    XLSX.utils.book_append_sheet(workbook, sheet, 'S1');
    const buffer = XLSX.write(workbook, { bookType: 'xlsx', type: 'buffer' });
    const arrayBuffer = buffer.buffer.slice(buffer.byteOffset, buffer.byteOffset + buffer.byteLength);

    const table = parseXlsxBuffer(arrayBuffer);

    expect(table.headers).toEqual(['人數']);
    expect(table.rows).toEqual([['张三']]);
  });

  it('文件名后缀缺失时，仍可根据二进制魔数识别 xlsx', () => {
    const sheet = XLSX.utils.aoa_to_sheet([
      ['source', 'target', 'value'],
      ['A', 'B', 1]
    ]);
    const workbook = XLSX.utils.book_new();
    XLSX.utils.book_append_sheet(workbook, sheet, 'S1');
    const buffer = XLSX.write(workbook, { bookType: 'xlsx', type: 'buffer' });
    const arrayBuffer = buffer.buffer.slice(buffer.byteOffset, buffer.byteOffset + buffer.byteLength);

    const table = parseTableByFileName('upload.bin', arrayBuffer);

    expect(table.headers).toEqual(['source', 'target', 'value']);
    expect(table.rows).toEqual([['A', 'B', '1']]);
  });
});