安全读取 CSV 文件
您已经可以读取一份咖啡销售的 CSV 文件。请使用数据验证函数读取数据，并校验数据类型。
所需的包（如 java.time 和 NumberUtils）已为您导入。
本练习是课程的一部分
Java 数据清洗
练习说明
- 将日期字符串解析为
M/d/yy格式。 - 将销售
quantity读取为Integer。
交互式实操练习
通过完成这段示例代码来试试这个练习。
public class CoffeeSalesExample {
private record CoffeeSales(LocalDate date, String coffeeName, String paymentMethod, Integer quantity, Double amount) {}
private static LocalDate parseDate(String dateStr) {
// Parse the format of the date string
return ____.____(dateStr, DateTimeFormatter.ofPattern("M/d/yy"));
}
private static String validateNumeric(String value) {
if (NumberUtils.isParsable(value)) return value;
throw new IllegalArgumentException("Invalid: " + value);
}
public static double parsePrice(String priceText) {
if (NumberUtils.isParsable(priceText.replace("$", ""))) {
return Double.parseDouble(priceText.replace("$", ""));
}
throw new IllegalArgumentException("Invalid price: " + priceText);
}
public static CoffeeSales parseSalesData(String[] fields) {
LocalDate publishDate = parseDate(fields[0]);
String coffeeName = fields[1];
String paymentMethod = fields[2];
// Read quantity as an Integer
Integer quantity = ____.____(validateNumeric(fields[3]));
Double amount = parsePrice(fields[4]);
return new CoffeeSales(publishDate, coffeeName, paymentMethod, quantity, amount);
}
public static void main(String[] args) throws IOException, InterruptedException {
List sales = new ArrayList<>();
String filename = "coffee.csv";
try (BufferedReader reader = new BufferedReader(new FileReader(filename))) {
String line = reader.readLine();
while ((line = reader.readLine()) != null) {
String[] fields = line.split(",");
sales.add(parseSalesData(fields));
}
}
sales.forEach(System.out::println);
}
}