这是my previous question, "Unpacking nested C structs in Python"的后续问题。我正在使用的结构变得更加复杂,我再次不确定如何解压缩并完全处理它们。
在C方面,标题的相关部分如下所示:
typedef struct {
uint8_t seq;
uint8_t type;
uint16_t flags;
uint16_t upTimestamp;
}__attribute__ ((packed)) mps_packet_header;
typedef struct {
mps_packet_header header;
int16_t x[6];
int16_t y[6];
int16_t z[6];
uint16_t lowTimestmp[6];
}__attribute__ ((packed)) mps_acc_packet_t;
typedef mps_acc_packet_t accpacket_t;
typedef struct {
int16_t hb1;
int16_t hb2;
} acam_hb_data_set;
typedef struct __attribute__ ((packed)) {
mps_packet_header header;
uint16_t temp;
uint16_t lowTimestmp[8];
acam_hb_data_set dms_data[8];
} mps_dms_packet_t;
由此产生了两个挑战。首先,我收到的数据包(二进制格式)可以是mps_acc_packet_t
或mps_dms_packet_t
- 告诉他们不同的唯一方法是阅读type
中的mps_packet_header
字段两种数据包类型都有。这意味着我需要在知道其全部内容之前解压缩数据包,我不知道如何干净利落(因为我没有记错)两种数据包类型有不同的calcsize
(54和分别为56)。第二个挑战是解包mps_dms_packet_t
;正如你从struct的定义中看到的那样,这个数据包有一个由8个acam_hb_data_set
个实例组成的数组,而这个实例又是一个由两个int16
值组成的结构。我不知道如何为此制定正确的格式字符串。
我之前的代码(在引入mps_dms_packet_t
之前)看起来像falsetru in his answer to my previous question所建议的那样:
s = struct.Struct('= B B H H 6h 6h 6h 6H')
fields = s.unpack(packet_data)
seq, _type, flags, upTimestamp = fields[:4]
x = fields[4:10]
y = fields[10:16]
z = fields[16:22]
lowTimestamp = fields[22:]
这很好用。现在,我需要以某种方式能够读取标头(我需要解压缩结构),然后根据其类型正确解压缩结构。
我将如何做到这一点?
答案 0 :(得分:2)
为什么不试试ctypes?它更易读,更容易打包/解包数据。
import ctypes
class mps_packet_header(ctypes.Structure):
_fields_ = [
("seq", ctypes.c_uint8),
("type", ctypes.c_uint8),
("flags", ctypes.c_uint16),
("upTimestamp", ctypes.c_uint16)
]
class mps_acc_packet_t(ctypes.Structure):
_fields_ = [
("header", mps_packet_header),
("x", ctypes.c_int16 * 6),
("y", ctypes.c_int16 * 6),
("z", ctypes.c_int16 * 6),
("lowTimestmp", ctypes.c_uint16 * 6)
]
class acam_hb_data_set(ctypes.Structure):
_fields_ = [
("hb1", ctypes.c_int16),
("hb2", ctypes.c_int16),
]
class mps_dms_packet_t(ctypes.Structure):
_fields_ = [
("header", mps_packet_header),
("temp", ctypes.c_uint16),
("lowTimestmp", ctypes.c_uint16 * 8),
("dms_data", acam_hb_data_set * 8)
]