Requirements: The data passed in by the third party contains HEX code stream, which needs to be parsed into the data we need
- Via python
>>> a_bytes = bytes.fromhex('42580000')
>>> print(a_bytes)
b'BX\x00\x00'
>>> noiseM = struct.unpack('!f', bytes.fromhex('42580000')[0]
>>> print("noiseM:", noiseM)
noiseM: 54.0
- Realize this function through Java
- First convert this hex string to byte[]
public static byte[] hexStringToBytes(String hexString) {
if (hexString == null || hexString.equals("")) {
return null;
}
hexString = hexString.toUpperCase();
int length = hexString.length() / 2;
char[] hexChars = hexString.toCharArray();
byte[] d = new byte[length];
for (int i = 0; i < length; i++) {
int pos = i * 2;
d[i] = (byte) (charToByte(hexChars[pos]) << 4 | charToByte(hexChars[pos + 1]));
}
return d;
}
private static byte charToByte(char c) {
return (byte) "0123456789ABCDEF".indexOf(c);
}
- Convert byte[] into the data we need (here we need floating point numbers)
// 从byte数组的index处的连续4个字节获得一个float
public static float getFloat(byte[] arr, int index) {
return Float.intBitsToFloat(getInt(arr, index));
}
// 从byte数组的index处的连续4个字节获得一个int
public static int getInt(byte[] arr, int index) {
return (0xff000000 & (arr[index+0] << 24)) |
(0x00ff0000 & (arr[index+1] << 16)) |
(0x0000ff00 & (arr[index+2] << 8)) |
(0x000000ff & arr[index+3]);
}
You can get the final result