如何在spring batch中用openCSV替代flatFileItemReader

<!-- Maven -->
<dependency>
    <groupId>com.opencsv</groupId>
    <artifactId>opencsv</artifactId>
    <version>5.3</version>
</dependency>

import com.opencsv.CSVReader;
import org.springframework.batch.item.ItemReader;

import java.io.IOException;
import java.io.Reader;
import java.nio.file.Files;
import java.nio.file.Paths;

public class CsvItemReader implements ItemReader<YourDataType> {
    
    private CSVReader csvReader;
    private YourDataType nextRecord;
    
    public CsvItemReader(String csvFilePath) throws IOException {
        Reader reader = Files.newBufferedReader(Paths.get(csvFilePath));
        csvReader = new CSVReader(reader);
        csvReader.readNext(); // Skip header line
    }

    @Override
    public YourDataType read() throws Exception {
        String[] record = csvReader.readNext();
        if (record == null) {
            csvReader.close();
            return null;
        } else {
            // Map CSV record to YourDataType object
            // Modify the following code to match your data structure
            YourDataType data = new YourDataType();
            data.setField1(record[0]);
            data.setField2(record[1]);
            // Set more fields if needed
            return data;
        }
    }
}

@Configuration
@EnableBatchProcessing
public class BatchConfig {
    
    @Autowired
    private JobBuilderFactory jobBuilderFactory;
    
    @Autowired
    private StepBuilderFactory stepBuilderFactory;
    
    @Bean
    public ItemReader<YourDataType> csvItemReader() throws IOException {
        return new CsvItemReader("path/to/csv/file.csv");
    }
    
    // Other beans and configuration
    
    @Bean
    public Step csvProcessingStep(ItemReader<YourDataType> csvItemReader,
                                  ItemProcessor<YourDataType, ProcessedDataType> itemProcessor,
                                  ItemWriter<ProcessedDataType> itemWriter) {
        return stepBuilderFactory.get("csvProcessingStep")
                .<YourDataType, ProcessedDataType>chunk(10)
                .reader(csvItemReader)
                .processor(itemProcessor)
                .writer(itemWriter)
                .build();
    }
    
    // Other steps, jobs, and configuration
}