# tcp Handheld 客户端 模拟 ,模拟数据打包 # 直接平一个小包测试数据 直接写tou import socket import time # IP = "39.96.0.224" IP = "127.0.0.1" PORT = 7887 ADDRESS = ( IP, PORT ) # 绑定地址 INFO_HEADER = "111355AA020000250000004F000107" DATA_HEADER = "11 13 55 AA 02 00 10 25 00 00 00 DA 06 02 07" END_FRAME = "11 13 55 AA 02 00 FF 25 00 00 00 00 00 00 00" # 改数据 class DataContent: # 11 13 55 AA 0200 00 11 00 00 00 4F00 01 07 # id type-num 序号 17 字节数 包号 总 info_frame = "1703140E313518565D1E51D55605CCE812068CDDC347D0239515000000000000000000000064000000000000000000000000000000000000000000F450F450F4500600000300000000000000000000" # "1707070c161800000000000000000000000000000000000000000000000000000000000000000000000000000000000000e0c000808e41778cf83df450f450f4500000000000000000000000000000131123600020000000524844557691e700cb054c054a05a10001" sensor_frame =[ # 11 13 55 AA 02 00 10 11 00 00 00 DA 06 02 07 '131123600020000000524844557691E700CB054C054A05A10001\ 23A000300700000A07FD062A073707440750074D074C07530759075A07610765076A07720790079107A407C3070709BE0AAC0ABF080F080808270849089E0880094F0BB70F2A1901\ 23A000300600005223CD28242B3830E235813BE9401B46675A3181C68D5C7916715D74C676617658742E71B26C9C674363DA5F1C5E0160F164DF66A262F85AD153764E4F4C014D01\ 23A00030050000EA4D8C4D314DF44D3C4FC250E453BA5E4486B8C5BCECC4D29A96436BFA56734E4B4A55473446364A845140582A5A9C55A54D91465440303C1B3FDE5783718E7001\ 23A00030040000DC565046C140F63D21392E32D12B5B28A226F3253525662366219E20DD1FB11E971DC51C2F1C901B921A6419C21882185818E418181B401DEC1C1D1A3917F71501\ 23A00030030000EE153316F516CA176E18B218CA18B118701845186A1730155913E51314153015E1146C1420147D13C11208128C1128113011BF121614DB12F70F3B0EE50D320E01\ 23A00030020000FD0D3C0D930C470C0D0CB80B710B1E0BCD0A920A560A1F0A000A140A460A3E0AD0097A096C095F092109B60870085F0834082B081C0808080B08DD07B907950701\ 23A000300100007007620755074A0740074C074607460748074A07500758075D0757074F0743075F0756075F0758074F073F07240745076207770756073F072A070907E606D60601\ 23A00030000000F3060F07250722072E07200703070B07EC06FF0619073E07590734071807190719070A07E106DD06F006EC061B072F073E073E07220725070B07F806C806DE0601\ 23A000300700000A07FD062A073707440750074D074C07530759075A07610765076A07720790079107A407C3070709BE0AAC0ABF080F080808270849089E0880094F0BB70F2A1901\ 23A000300600005223CD28242B3830E235813BE9401B46675A3181C68D5C7916715D74C676617658742E71B26C9C674363DA5F1C5E0160F164DF66A262F85AD153764E4F4C014D01\ 23A00030050000EA4D8C4D314DF44D3C4FC250E453BA5E4486B8C5BCECC4D29A96436BFA56734E4B4A55473446364A845140582A5A9C55A54D91465440303C1B3FDE5783718E7001\ 23A00030040000DC565046C140F63D21392E32D12B5B28A226F3253525662366219E20DD1FB11E971DC51C2F1C901B921A6419C21882185818E418181B401DEC1C1D1A3917F71501\ 23A00030030000EE153316F516CA176E18B218CA18B118701845186A1730155913E51314153015E1146C1420147D13C11208128C1128113011BF121614DB12F70F3B0EE50D320E01\ 23A00030020000FD0D3C0D930C470C0D0CB80B710B1E0BCD0A920A560A1F0A000A140A460A3E0AD0097A096C095F092109B60870085F0834082B081C0808080B08DD07B907950701\ 23A000300100007007620755074A0740074C074607460748074A07500758075D0757074F0743075F0756075F0758074F073F07240745076207770756073F072A070907E606D60601\ 23A00030000000F3060F07250722072E07200703070B07EC06FF0619073E07590734071807190719070A07E106DD06F006EC061B072F073E073E07220725070B07F806C806DE0601\ 23A000300700000A07FD062A073707440750074D074C07530759075A07610765076A07720790079107A407C3070709BE0AAC0ABF080F080808270849089E0880094F0BB70F2A1901\ 23A000300600005223CD28242B3830E235813BE9401B46675A3181C68D5C7916715D74C676617658742E71B26C9C674363DA5F1C5E0160F164DF66A262F85AD153764E4F4C014D01\ 23A00030050000EA4D8C4D314DF44D3C4FC250E453BA5E4486B8C5BCECC4D29A96436BFA56734E4B4A55473446364A845140582A5A9C55A54D91465440303C1B3FDE5783718E7001\ 23A00030040000DC565046C140F63D21392E32D12B5B28A226F3253525662366219E20DD1FB11E971DC51C2F1C901B921A6419C21882185818E418181B401DEC1C1D1A3917F71501\ 23A00030030000EE153316F516CA176E18B218CA18B118701845186A1730155913E51314153015E1146C1420147D13C11208128C1128113011BF121614DB12F70F3B0EE50D320E01\ 23A00030020000FD0D3C0D930C470C0D0CB80B710B1E0BCD0A920A560A1F0A000A140A460A3E0AD0097A096C095F092109B60870085F0834082B081C0808080B08DD07B907950701\ 23A000300100007007620755074A0740074C074607460748074A07500758075D0757074F0743075F0756075F0758074F073F07240745076207770756073F072A070907E606D60601\ 23A00030000000F3060F07250722072E07200703070B07EC06FF0619073E07590734071807190719070A07E106DD06F006EC061B072F073E073E07220725070B07F806C806DE0601', ] end_frame = "11 13 55 AA 02 00 FF 25 00 00 00 00 00 00 00" #0xFF class MyBuf: '''一次测量三个传感器数据打一个包''' def __init__(self,) -> None: self.__buf = b'' self.__head = {} self.__begin_sign = b'\x23' self.__end_sign = b'\x0D' self.send_head = b'\x11\x13\x55\xAA' self.send_id = 2 # 2byte 地位在前 self.send_type = 0 # info 0 data 1 pic 2 self.send_num = 0 # 一次测量最多十六次平均 self.send_con = 0 # 总的测量序号 4byte ,16次平均算几次?每次算一个 self.send_size = 0 #字节数 2byte self.send_packet_con = 0 self.send_packet_all = 0 self.repeat = 0 # 依据这个拆包 self.groups = 0 self.state = 0 def readFile2Buf(self, fpath) -> None: with open(fpath,"rb") as f: self.__buf = f.read() pass pass def read_buf(self, size: int) -> bytes: if size > self.__buf.__len__(): return b'' ret = self.__buf[0:size] self.__buf = self.__buf[size:] return ret def write_buf(self, buf: bytes) -> None: len = buf.__len__() # logging.info(f'Received ID:{id} Size:{len}') self.__buf = self.__buf+buf def get_buf_size(self) -> int: return self.__buf.__len__() def back_bytes(self, buf: bytes) -> None: self.__buf = buf+self.__buf def reset_head(self) -> None: self.__head = {} def reset_buf(self) -> None: self.__buf = b'' def pack_info_send(self,): length = 26 ret = self.read_buf(length) id = self.send_id.to_bytes(2, byteorder='little') self.send_type = 0 type_num = (self.send_type *16 + self.send_num).to_bytes(1,byteorder='little' ) # ?? con = self.send_con.to_bytes(4, byteorder='little') size = length.to_bytes(2, byteorder='little') packet_con = self.send_packet_con.to_bytes(1,byteorder='little' ) packet_all = self.send_packet_all.to_bytes(1,byteorder='little' ) ret = self.send_head + id + type_num + con + size + packet_con + packet_all +ret self.send_packet_con += 1 # 取重复次数和测量间隔 return ret def pack_handheld_send(self,): length = 26+576+576+576 ret = self.read_buf(length) id = self.send_id.to_bytes(2, byteorder='little') self.send_type = 1 type_num = self.send_type << 4 + self.send_num # ?? con = self.send_con.to_bytes(4, byteorder='little') size = length.to_bytes(2, byteorder='little') packet_con = self.send_packet_con.to_bytes(1,byteorder='little' ) packet_all = self.send_packet_all.to_bytes(1,byteorder='little' ) ret = self.send_head + id + type_num + con + size + packet_con + packet_all +ret self.send_con+=1 # 总测量序号+1 self.send_num += 1 # 是平均中的第几次 self.send_packet_con += 1 return ret pass def pack_end_send(self,): ret = b'\x11\x13\x55\xAA\x02\x00\xFF\x11\x00\x00\x00\x00\x00\x00\x00' return ret pass class ProfilerBuf: '''一次测量三个传感器数据打一个包''' def __init__(self,) -> None: self.__buf = b'' self.__head = {} self.__begin_sign = b'\x23' self.__end_sign = b'\x0D' self.send_head = b'\x11\x13\x55\xAA' self.send_id = 2 # 2byte 地位在前 self.send_type = 0 # info 0 data 1 pic 2 self.send_num = 0 # 一次测量最多十六次平均 self.send_con = 0 # 总的测量序号 4byte ,16次平均算几次?每次算一个 self.send_size = 0 #字节数 2byte self.send_packet_con = 0 self.send_packet_all = 0 self.repeat = 0 # 依据这个拆包 self.groups = 0 self.state = 0 def readFile2Buf(self, fpath) -> None: with open(fpath,"rb") as f: self.__buf = f.read() pass pass def read_buf(self, size: int) -> bytes: if size > self.__buf.__len__(): return b'' ret = self.__buf[0:size] self.__buf = self.__buf[size:] return ret def write_buf(self, buf: bytes) -> None: len = buf.__len__() # logging.info(f'Received ID:{id} Size:{len}') self.__buf = self.__buf+buf def get_buf_size(self) -> int: return self.__buf.__len__() def back_bytes(self, buf: bytes) -> None: self.__buf = buf+self.__buf def reset_head(self) -> None: self.__head = {} def reset_buf(self) -> None: self.__buf = b'' def get_info_cnt(self, mode= 0, len=0) -> None: ret = b'' if mode == 0: ret = self.read_buf(len) else: ret = self.read_buf(len) return ret def pack_info_send(self,): length = 26 ret = self.self.read_buf(26) id = self.send_id.to_bytes(2, byteorder='little') self.send_type = 0 type_num = (self.send_type *16 + self.send_num).to_bytes(1,byteorder='little' ) # ?? con = self.send_con.to_bytes(4, byteorder='little') size = length.to_bytes(2, byteorder='little') packet_con = self.send_packet_con.to_bytes(1,byteorder='little' ) packet_all = self.send_packet_all.to_bytes(1,byteorder='little' ) ret = self.send_head + id + type_num + con + size + packet_con + packet_all +ret self.send_packet_con += 1 # 取重复次数和测量间隔 return ret def pack_handheld_send(self,): length = 26+576+576+576 ret = self.read_buf(length) id = self.send_id.to_bytes(2, byteorder='little') self.send_type = 1 type_num = self.send_type << 4 + self.send_num # ?? con = self.send_con.to_bytes(4, byteorder='little') size = length.to_bytes(2, byteorder='little') packet_con = self.send_packet_con.to_bytes(1,byteorder='little' ) packet_all = self.send_packet_all.to_bytes(1,byteorder='little' ) ret = self.send_head + id + type_num + con + size + packet_con + packet_all +ret self.send_con+=1 # 总测量序号+1 self.send_num += 1 # 是平均中的第几次 self.send_packet_con += 1 return ret pass def pack_end_send(self,): ret = b'\x11\x13\x55\xAA\x02\x00\xFF\x11\x00\x00\x00\x00\x00\x00\x00' return ret pass class TcpProfiler(object): def __init__(self ): super(TcpProfiler, self).__init__() self.flag = True self.delay_time = 15 self.recv_times = 10 self.head = b'' self.socket = socket.socket( socket.AF_INET, socket.SOCK_STREAM ) self.socket.setblocking(True) def connect(self,): print(f"== connect to server : {ADDRESS}") self.socket.connect( ADDRESS ) def disconnect(self,): self.socket.close( ) def rcv(self,): recv_data = self.socket.recv( 1024 ) if recv_data == self.head: self.flag =True time.sleep( 0.01 ) def send_rcv(self,buf): self.socket.send( buf ) self.flag = False self.head = buf[:15] # 当前接收到数据就不阻塞了,后加数据不对继续阻塞 try: data = self.socket.recv(1024) if data != b'': print("not empty") print(data) if data==self.head: print(f"recv.... {data}" ) self.flag = True self.head = b'' time.sleep( 0.1 ) except BlockingIOError as e: print(f" 阻塞 中断 ....") except KeyboardInterrupt as e: print(f" == ctrl +c , exit") def send_info(self,): buf = bytes.fromhex (INFO_HEADER+ DataContent.info_frame) self.flag = False self.head = buf[:15] print(f"head ....{self.head.hex()}") self.send_rcv(buf) def send_data(self,): buf = b'' buf = bytes.fromhex (DATA_HEADER+ DataContent.sensor_frame[0]) self.flag = False self.head = buf[:15] print(f"head ....{self.head.hex()}") self.send_rcv(buf) # for i in range( len( DataContent.sensor_frame) ): # print( "sensorframe..." ) # buf = bytes.fromhex ( DataContent.sensor_frame[i] ) # self.flag = False # self.head = buf[:15] # print(f"head ....{self.head.hex()} ") # self.send_rcv(buf) def send_profiler_frame(self,num): '''一次三个传感器数据作为一帧''' buf = b'' buf = bytes.fromhex (DATA_HEADER+ DataContent.sensor_frame[0]) self.flag = False self.head = buf[:15] print(f"head ....{self.head.hex()}") self.send_rcv(buf) for i in range( num ): i = i%256 print( "sensorframe..." ) buf = bytes.fromhex ( DataContent.sensor_frame[i] ) self.flag = False self.head = buf[:15] print(f"head ....{self.head.hex()} ") self.send_rcv(buf) def send_end_frame(self,): buf = bytes.fromhex (DataContent.end_frame) self.flag = False self.head = buf[:15] print(f"head ....{self.head.hex()}") self.send_rcv(buf) def send_protocol_head(self,): pass if __name__ == '__main__': pass # print( bytes.fromhex (DataContent.info_frame) ) th = TcpProfiler() th.connect() send_num = 10; try : th.send_info() print("send info frame...") time.sleep( 10) except KeyboardInterrupt as e: print(e) try : th.send_data() print("send sensor frame...") time.sleep( 10) except KeyboardInterrupt as e: print(e) try : th.send_end_frame() print("send end frame...") time.sleep( 10) except KeyboardInterrupt as e: print(e) th.disconnect( ) # with open("info.bin","rb") as f: # d = f.read() # print(d.hex()) ''' 131123600020000000524844557691e700cb054c054a05a10001 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 1707070c161800000000000000000000000000000000000000000000000000000000000000000000000000000000000000e0c000808e41778cf83df450f450f4500000000000000000000000000000131123600020000000524844557691e700cb054c054a05a10001 '''