Function parseCSVData

src/utils/csvParser.ts:84–148

(csvContent: string)

// 解析CSV数据
export function parseCSVData(csvContent: string): ProcessedModelData[] {
  const lines = csvContent.split('\n');
  const models: ProcessedModelData[] = [];
  
  // 跳过前两行（标题行）
  for (let i = 2; i < lines.length; i++) {
    const line = lines[i].trim();
    if (!line || line.split(',').every(cell => !cell.trim())) {
      continue; // 跳过空行
    }
    
    const columns = parseCSVLine(line);
    if (columns.length < 23 || !columns[0] || !columns[1]) {
      continue; // 跳过无效行
    }
    
    const model: ProcessedModelData = {
      id: `model_${i}`,
      paperName: columns[0] || '',
      modelName: columns[1] || '',
      type: columns[2] || '',
      networkStructure: columns[3] || '',
      separationModel: columns[4] || '',
      maskMapping: columns[5] || '',
      encoderDecoder: columns[6] || '',
      learningMethod: columns[7] || '',
      publishYear: parseYear(columns[8]),
      speakerKnown: columns[9] || '',
      performance: {
        WSJ0_2Mix: {
          SI_SNRi: parsePerformanceValue(columns[10]),
          SDRi: parsePerformanceValue(columns[11])
        },
        WHAM: {
          SI_SNRi: parsePerformanceValue(columns[12]),
          SDRi: parsePerformanceValue(columns[13])
        },
        LibriMix: {
          SI_SNRi: parsePerformanceValue(columns[14]),
          SDRi: parsePerformanceValue(columns[15])
        },
        WHAMR: {
          SI_SNRi: parsePerformanceValue(columns[16]),
          SDRi: parsePerformanceValue(columns[17])
        },
        LRS2_2Mix: {
          SI_SNRi: parsePerformanceValue(columns[18]),
          SDRi: parsePerformanceValue(columns[19])
        },
        SonicSet: {
          SI_SNR: parsePerformanceValue(columns[20]),
          SDR: parsePerformanceValue(columns[21])
        }
      },
      params: parseParams(columns[22]),
      codeLink: columns[23] || '',
      paperLink: columns[24] || '',
      notes: columns[25] || ''