From 5c933a78fac14f5acf9a863bfaaaf1d4543fc8bd Mon Sep 17 00:00:00 2001 From: esea_info Date: Wed, 26 Jul 2023 11:10:26 +0800 Subject: [PATCH] profiler dataclass --- app.py | 218 +++- data/2/37/2023_7_10_14_15_31.csv | 7 + data/2/37/info.bin | Bin 0 -> 105 bytes data/2/37/sensor.bin | Bin 0 -> 63144 bytes data/2023/03/20/37/info.bin | Bin 0 -> 79 bytes data/2023/03/20/37/sensor.bin | Bin 0 -> 1754 bytes myRamses.py | 795 ++++++++++++++ profiler copy.py | 1279 ++++++++++++++++++++++ profiler.py | 1762 +++++++++++------------------- receive.py | 95 +- retrieve.yml | 1 + tcp_profiler.py | 163 ++- 12 files changed, 3111 insertions(+), 1209 deletions(-) create mode 100644 data/2/37/2023_7_10_14_15_31.csv create mode 100644 data/2/37/info.bin create mode 100644 data/2/37/sensor.bin create mode 100644 data/2023/03/20/37/info.bin create mode 100644 data/2023/03/20/37/sensor.bin create mode 100644 myRamses.py create mode 100644 profiler copy.py diff --git a/app.py b/app.py index 9533b85..ddeca2d 100644 --- a/app.py +++ b/app.py @@ -8,73 +8,183 @@ from myconfig import DEVICE_ID ,FILE_MARK,YAML_FILE_NAME,CURRENT_DIR,DATA_DIR,CA from myconfig import BEGIN_WAVELENGTH,END_WAVELENGTH,INTERVAL,ROWFACTOR from Ramses import Ramses +from profiler import Profiler,ProfilerHandle + IP = "" PORT = 7887 ADDRESS = (IP, PORT) # 绑定地址 -if __name__ == "__main__": - log.info(f"******** HandHeld server initiate.... *********", __name__, "", "") +class MyApp(object): + def __init__(self,): + log.info(f"******** Awarms server initiate.... *********", __name__, "", "") + self.device_type = DeviceType.PROFILE.name + self.mycfg = MyConfig() # 传入 cfg retrieve 的yml文件 + + # 配置反演需要的参数 波长 间隔 , rowFactor + self.retrieve = self.mycfg.get_retrieve() # 读retrieve.yml + log.info(f"Retrieve: {self.retrieve}", __name__, "", "") + + # log.info(f"syscfg: {device}", __name__, "", "") + self.mycfg.setDeviceType( DeviceType.PROFILE ) + self.sensor_cfg = self.mycfg.read_yaml() # 读config.yml, 多个device_id 配置 + log.info(f"Current Device: {self.device_type} ", __name__, "", "") + log.info(f"Sensor cfg: {self.sensor_cfg}", __name__, "", "") + + + self.cal_cfg = {} + + cfgr = Configuration( ) + cfgr.setDeviceType(self.device_type) + cfgr.setSystemCfgDict(self.sensor_cfg) + + for k,v in self.sensor_cfg.items(): + cfgr.setSystemCfgDict(v) + try: + cfgr.getCalConfiguration() + except Exception as e: + log.error(f"读取配置文件失败. \n {e}",__name__, "", "" ) + raise + log.info(f"v: {cfgr.configuration}", __name__, "", "") + self.cal_cfg.update({k:cfgr.cal_configuration}) + + log.debug(f"cal_cfg: {self.cal_cfg}", __name__, "", "") + log.warning(f"cal_cfg 2: {self.cal_cfg[2].keys()}", __name__, "", "") + # log.warning(f"cal_cfg 3: {self.cal_cfg[3].keys()}", __name__, "", "") + log.info(f"传感器配置文件读取成功", __name__, "", "") + + pass + + def init_data_process(self, mode = 0): + ''' 多个handle ''' + self.profiler_handle = { } + for k,v in self.cal_cfg.items(): + ph = ProfilerHandle( deviceid=k, cfg=self.sensor_cfg[k], calcfg=v, rtv=self.retrieve) + self.profiler_handle.update( {k:ph} ) + + def run_server(self,): + # 启动接受服务器 + log.info(f"启动接受服务器, IP: {IP} , Port:{PORT} ", __name__, "", "") - ####################################### - device_id = DEVICE_ID # 多个设备 - device_type = DeviceType.PROFILE.name - mycfg = MyConfig() + server_ = MyThreadingTCPServer(ADDRESS, MyServer, calcfg=self.cal_cfg, retrieve = self.retrieve ,profiler_handle=self.profiler_handle ) - # 配置反演需要的参数 波长 间隔 - retrieve = mycfg.get_retrieve() - log.info(f"Retrieve: {retrieve}", __name__, "", "") + try: + server_.serve_forever() + except KeyboardInterrupt: + log.warning(" Ctrl+C 退出主程序 ",__name__, "", "") + server_.server_close() + except Exception as e: + log.info(" 系统异常， 如下: \n ",__name__, "", "") + log.info(e) - # log.info(f"syscfg: {device}", __name__, "", "") - mycfg.setDeviceType(device_type) - init_para = mycfg.read_yaml() - log.info(f"Current Device: {device_type} ", __name__, "", "") - log.info(f"Sensor: {init_para}", __name__, "", "") + pass - cal_cfg = {} +if __name__ == "__main__": + log.info(f"******** Yiwin Profiler server initiate.... *********", __name__, "", "") + app = MyApp() + app.init_data_process( ) + app.run_server() + +# IP = "" +# PORT = 7887 +# ADDRESS = (IP, PORT) # 绑定地址 + +# device_id = DEVICE_ID # 多个设备 +# device_type = DeviceType.PROFILE.name +# retrieve = {} +# cal_cfg ={} + +# def get_sys_cfg(): +# log.info(f"开始获得配置", __name__, "", "") +# device_id = DEVICE_ID # 多个设备 +# device_type = DeviceType.PROFILE.name +# mycfg = MyConfig() + +# # 配置反演需要的参数 波长 间隔 +# retrieve = mycfg.get_retrieve() +# log.info(f"Retrieve: {retrieve}", __name__, "", "") + +# # log.info(f"syscfg: {device}", __name__, "", "") +# mycfg.setDeviceType(device_type) +# init_para = mycfg.read_yaml() +# log.info(f"Current Device: {device_type} ", __name__, "", "") +# log.info(f"Sensor: {init_para}", __name__, "", "") + +# cal_cfg = {} - cfgr = Configuration( ) - cfgr.setDeviceType(device_type) - cfgr.setSystemCfgDict(init_para) +# cfgr = Configuration( ) +# cfgr.setDeviceType(device_type) +# cfgr.setSystemCfgDict(init_para) - for k,v in init_para.items(): - cfgr.setSystemCfgDict(v) - try: - cfgr.getCalConfiguration() - except Exception as e: - log.error(f"读取配置文件失败. \n {e}",__name__, "", "" ) - raise - log.info(f"v: {cfgr.configuration}", __name__, "", "") - cal_cfg.update({k:cfgr.cal_configuration}) - - # log.warning(f"cal_cfg: {cal_cfg[2]}", __name__, "", "") - log.warning( f"cal_cfg 2: {cal_cfg[2].keys()}", __name__, "", "") - # log.warning( f"cal_cfg 2: {cal_cfg[2]}", __name__, "", "") - # log.warning( f"cal_cfg 3: {cal_cfg[3].keys()}", __name__, "", "") - log.info( f"传感器配置文件读取成功", __name__, "", "" ) +# for k,v in init_para.items(): +# cfgr.setSystemCfgDict(v) +# try: +# cfgr.getCalConfiguration() +# except Exception as e: +# log.error(f"读取配置文件失败. \n {e}",__name__, "", "" ) +# raise +# log.info(f"v: {cfgr.configuration}", __name__, "", "") +# cal_cfg.update({k:cfgr.cal_configuration}) + +# # log.warning(f"cal_cfg: {cal_cfg[2]}", __name__, "", "") +# log.warning( f"cal_cfg 2: {cal_cfg[2].keys()}", __name__, "", "") +# # log.warning( f"cal_cfg 2: {cal_cfg[2]}", __name__, "", "") +# # log.warning( f"cal_cfg 3: {cal_cfg[3].keys()}", __name__, "", "") +# log.info( f"传感器配置文件读取成功", __name__, "", "" ) + +# def run_server(): +# # 启动接受服务器 +# log.info(f"启动接受服务器, IP: {IP} , Port:{PORT} ", __name__, "", "") + +# server_ = MyThreadingTCPServer(ADDRESS, MyServer, cfg=cal_cfg, retrieve = retrieve ) + +# try: +# server_.serve_forever() +# except KeyboardInterrupt: +# log.warning(" Ctrl+C 退出主程序 ",__name__, "", "") +# server_.server_close() +# except Exception as e: +# log.info(" 系统异常， 如下: \n ",__name__, "", "") +# log.info(e) + +# def deal_info_sensor_bin(infobin, sensor_bin): + +# profiler = Profiler() +# profiler.setSyscfg( cal_cfg ) +# profiler.setRetrieve(retrieve) +# profiler.setDeviceID(2) +# profiler.setMeasureID(37) - # ???????????? - # 不同设备类型接收不同，修改receive.py - # 不同数据裂隙数据处理不同，修改AWRAMS.py - # 分支：服务器：处理不同的文件夹 awramse surface profile c - # 桌面： 服务器的， 读取标准trios文件处理的 -- 暂不考虑 +# path_tuple = ( "data", 2, 37 ) +# profiler.setOldFolder( path_tuple ) +# # profiler.getInfoDict( ) +# # profiler.transferFromOldFolder() +# # profiler.deleteOldFolder() +# # profiler.dealOneMeasurement_Profiler(profiler.new_folder) +# profiler.dealOneMeasurement_Profiler(profiler.old_folder) +# log.info(f" Complete Dealing one group.") + +# if __name__ == "__main__": +# log.info(f"******** HandHeld server initiate.... *********", __name__, "", "") + +# get_sys_cfg() +# run_server() + + +# profiler = Profiler() +# profiler.setSyscfg( cal_cfg ) +# profiler.setRetrieve(retrieve) +# profiler.setDeviceID(2) +# profiler.setMeasureID(37) - # 启动接受服务器 - log.info(f"启动接受服务器, IP: {IP} , Port:{PORT} ", __name__, "", "") - - server_ = MyThreadingTCPServer(ADDRESS, MyServer, cfg=cal_cfg, retrieve = retrieve ) - - try: - server_.serve_forever() - except KeyboardInterrupt: - log.warning(" Ctrl+C 退出主程序 ",__name__, "", "") - server_.server_close() - except Exception as e: - log.info(" 系统异常， 如下: \n ",__name__, "", "") - log.info(e) - - - +# path_tuple = ( "data", 2, 37 ) +# profiler.setOldFolder( path_tuple ) +# # profiler.getInfoDict( ) +# # profiler.transferFromOldFolder() +# # profiler.deleteOldFolder() +# # profiler.dealOneMeasurement_Profiler(profiler.new_folder) +# profiler.dealOneMeasurement_Profiler(profiler.old_folder) +# log.info(f" Complete Dealing one group.") # r= Ramses() diff --git a/data/2/37/2023_7_10_14_15_31.csv b/data/2/37/2023_7_10_14_15_31.csv new file mode 100644 index 0000000..f7c7278 --- /dev/null +++ b/data/2/37/2023_7_10_14_15_31.csv @@ -0,0 +1,7 @@ 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IntegrationTime: int = None + Reverse: float = None + SerialNo_MMS: str = None + WavelengthRange: str = None + c0s: float = None + c1s: float = None + c2s: float = None + c3s: float = None + c4s: float = None + cs: int or str = None + + def __post_init__(self): + assert self.SAMSN != None + assert len(self.SAMSN) == 4 , "SAMSN len is wrong" + pass + + def set_samcal(self, samcal: dict): + assert self.SAMSN == samcal['SAMSN'], "SamCal SAMSN doesnot match." + # SAMSN_ = samcal['SAMSN'] + self.DarkPixelStart = int(samcal['DarkPixelStart']) + self.DarkPixelStop = int(samcal['DarkPixelStop']) + self.Firmware = samcal['Firmware'] + self.IDDataBack = samcal['IDDataBack'] + self.IDDataCal = samcal['IDDataCal'] + self.IDDataCalAQ = samcal['IDDataCalAQ'] + if hasattr( samcal, 'IntegrationTime') : + self.IntegrationTime = samcal['IntegrationTime'] + else: + self.IntegrationTime = " " + # self.Reverse = samcal['Reverse'] + # self.SerialNo_MMS_ = samcal['SerialNo_MMS'] + if hasattr( samcal, 'WavelengthRange') : + self.WavelengthRange = samcal['WavelengthRange'] + else: + self.WavelengthRange = "310-1100" + + self.c0s = float(samcal['c0s']) + self.c1s = float(samcal['c1s']) + self.c2s = float(samcal['c2s']) + self.c3s = float(samcal['c3s']) + self.c4s_ = float(samcal['c4s']) + if hasattr( samcal, 'cs'): + cs = samcal['cs'] + else: + cs_ = 0 + pass + +@dataclass +class IPCal(object): + IPSN: str = None + Incl_Orientation: str = None + Incl_Xgain: float = None + Incl_Xoffset: float = None + Incl_Ygain: float = None + Incl_Yoffset: float = None + Incl_KBG: float = None + Incl_Kref: float = None + Press_Current_mA: float = None + Press_Surface_bar: float = None + Press_Gain: float = None + WithIncl: float = None + WithPress: float = None + Press_Sens_mV_bar_4mA: float = None + Press_Sens_mV_bar_1mA: float = None + Press_Type: str = None + CalibrationDate: str = None + + def __post_init__(self): + pass + + def set_ipcal_from_dict(self, ipcal: dict): + self.IPSN = ipcal['IPSN'] # = float(ipcal['IPSN'] ) + self.Incl_Orientation = ipcal['Incl_Orientation'] + self.Incl_Xgain = float(ipcal['Incl_Xgain']) + self.Incl_Xoffset = float(ipcal['Incl_Xoffset']) + self.Incl_Ygain = float(ipcal['Incl_Ygain']) + self.Incl_Yoffset = float(ipcal['Incl_Yoffset']) + self.Incl_KBG = float(ipcal['Incl_KBG']) + self.Incl_Kref = float(ipcal['Incl_Kref']) + self.Press_Current_mA = float(ipcal['Press_Current_mA']) + self.Press_Surface_bar = float(ipcal['Press_Surface_bar']) + self.Press_Gain = float(ipcal['Press_Gain']) + self.WithIncl = float(ipcal['WithIncl']) + self.WithPress = float(ipcal['WithPress']) + self.Press_Sens_mV_bar_4mA = float(ipcal['Press_Sens_mV_bar_4mA']) + self.Press_Sens_mV_bar_1mA = float(ipcal['Press_Sens_mV_bar_1mA']) + self.Press_Type_ = ipcal['Press_Type'] + self.CalibrationDate = ipcal['CalibrationDate'] + +@dataclass +class RamsesCal(object): + SN: str = None + typ: RamsesType = RamsesType.SAM + samsn: str = "" + inifile: str = None + calfile: str = None + calaqfile: str = None + backfile: str = None + b0: List[float] = None + b1: List[float] = None + cal: List[float] = None + calaq: List[float] = None + samcal: SamCal = None + ipcal: IPCal = None + + def __post_init__(self): + assert self.SN != None, " Pls pass the SN when initiating..." + assert len(self.SN) == 4 , "SN len is wrong" + + def set_ramsescal_from_dict(self, ramsescal: dict): + ''' 与获得cfg兼容 + # {'Lsky': + # {'SN': '85B5', 'FUNC': 'Lsky', 'TYPE': 'SAM', 'samsn': '85B5', + # 'inifile': 'SAM_85B5.ini', 'calfile': 'Cal_SAM_85B5.dat', 'calaqfile': 'CalAQ_SAM_85B5.dat', 'backfile': 'Back_SAM_85B5.dat', + # 'cal': ['+NAN',.......... + ''' + assert self.SN == ramsescal['SN'], "RamsesCal SN doesnot match." + if ramsescal['TYPE'] == "SAMIP": + self.typ = RamsesType.SAMIP + else: + self.typ: RamsesType = RamsesType.SAM + self.samsn: str = ramsescal['samsn'] + self.inifile: str = ramsescal['inifile'] + self.calfile: str = ramsescal['calfile'] + self.calaqfile: str = ramsescal['calaqfile'] + self.backfile: str = ramsescal['backfile'] + self.b0: List[float] = [float(i) for i in ramsescal['b0'] ] + self.b1: List[float] = [float(i) for i in ramsescal['b1'] ] + self.cal: List[float] = [float(i) for i in ramsescal['cal'] ] + self.calaq: List[float] = [float(i) for i in ramsescal['calaq'] ] + # 设置sam_cal + self.samcal: SamCal = SamCal( SAMSN=self.samsn ) + self.samcal.set_samcal(ramsescal ) + # 设置ip_cal + if self.typ == RamsesType.SAMIP: + self.ipcal: IPCal = IPCal( ) + self.ipcal.set_ipcal_from_dict( ramsescal ) + + # def set_ramsescal_samcal(self, samcal: SamCal): + # samcal: SamCal = samcal + + # def set_ramsescal_ipcal(self, ipcal: IPCal): + # ipcal: IPCal = ipcal + + # def set_samcal_from_dict(self, samcal: dict): + # assert self.SN != samcal['SAMSN'], "RamsesCal SN doesnot match." + # # SAMSN_ = samcal['SAMSN'] + # self.samcal.set_samcal + + # c0s_ = float(samcal['c0s']) + # c1s_ = float(['c1s']) + # c2s_ = float(['c2s']) + # c3s_ = float(['c3s']) + # c4s_ = float(['c4s']) + # if samcal['cs_']: + # cs_ = samcal['cs'] + # else: + # cs_ = 0 + + # self.samcal = SamCal(self.SN, DarkPixelStart_, DarkPixelStop_, Firmware_, IDDataBack_, IDDataCal_, IDDataCalAQ_, + # IntegrationTime_, Reverse_, SerialNo_MMS_, WavelengthRange_, c0s_, c1s_, c2s_, c3s_, c4s_, cs_,) + # pass + + # def set_samcal_from_dict(self, ipcal: dict): + # IPSN_ = ipcal['IPSN'] # = float(ipcal['IPSN'] ) + # Incl_Orientation_ = ipcal['Incl_Orientation'] + # Incl_Xgain_ = float(ipcal['Incl_Xgain']) + # Incl_Xoffset_ = float(ipcal['Incl_Xoffset']) + # Incl_Ygain_ = float(ipcal['Incl_Ygain']) + # Incl_Yoffset_ = float(ipcal['Incl_Yoffset']) + # Incl_KBG_ = float(ipcal['Incl_KBG']) + # Incl_Kref_ = float(ipcal['Incl_Kref']) + # Press_Current_mA_ = float(ipcal['Press_Current_mA']) + # Press_Surface_bar_ = float(ipcal['Press_Surface_bar']) + # Press_Gain_ = float(ipcal['Press_Gain']) + # WithIncl_ = float(ipcal['WithIncl']) + # WithPress_ = float(ipcal['WithPress']) + # Press_Sens_mV_bar_4mA_ = float(ipcal['Press_Sens_mV_bar_4mA']) + # Press_Sens_mV_bar_1mA_ = float(ipcal['Press_Sens_mV_bar_1mA']) + # Press_Type_ = ipcal['Press_Type'] + # CalibrationDate_ = ipcal['CalibrationDate'] + + # self.ipcal = IPCal(IPSN_, Incl_Xgain_, Incl_Xoffset_, Incl_Ygain_, Incl_Yoffset_, Incl_KBG_, Incl_Kref_, Press_Current_mA_, Press_Surface_bar_, Press_Gain_, WithIncl_, WithPress_, + # Press_Sens_mV_bar_4mA_, Press_Sens_mV_bar_1mA_, Press_Type_, CalibrationDate_) + # pass + + +@dataclass +class RamsesFactory(object): + SN: str = None + typ: RamsesType = RamsesType.SAM + airwater: AirWater = AirWater.Air + data_raw: bytes = None # 原始的字节 未去遮罩 + ip_raw: bytes =None # ip 数据分开传进来 + data_after_remove_mask: bytes = None # 去遮罩后 + data_valid_buf: bytes = None # 去掉帧头帧尾后的buf + ip_buf: bytes = None + data_Int_from_Hex: List[int] = None # 去遮罩后 + data_after_cal: List[float] = None + Wavelength: List[float] = None + integratedTime: int = None + RamsesCalData: RamsesCal = None + + '''Usage + + 设置标定参数: + sn = "85C2" + rf = RamsesFactory( SN=sn, airwater = AirWater.Air ) + rf.set_cfg(cfg ) + + 设置数据， + 从原始数据开始 + set_data_raw(self, byt: bytes) + removeMask() + get_data_valid_buf() -- valid_buf + 从有效数据开始 + set_data_valid_buf(self, byt: bytes) + 处理数据 + process_from_hex_2_int(self,) + ''' + + def __post_init__(self): + assert self.SN != None + assert len(self.SN) == 4 , "SAMSN len is wrong" + self.RamsesCalData = RamsesCal(self.SN) + pass + + def set_cfg(self, cfg:dict): + assert self.SN == cfg["SN"] , "ramsesFactory SN does not match!!" + if cfg['TYPE'] == "SAMIP": + self.typ: RamsesType = RamsesType.SAMIP + else: + self.typ: RamsesType = RamsesType.SAM + self.RamsesCalData.set_ramsescal_from_dict(cfg) + + def set_airwater(self,air_water:AirWater): + self.airwater = air_water + pass + + def set_data_raw_ip_raw(self, byt: bytes ): + ''' byt 含 data_raw ip_raw ''' + assert isinstance(byt, bytes), f"arg byt is not byte type" + num = 0 + buf = byt + for i in range(50): + if byt[i] == 35: + num+=1 + if num == 2: + self.ip_raw = buf[:i] + self.data_raw = buf[i:] + break + + def set_data_raw(self, byt: bytes ): + ''' 需要 光谱数据 + 兼容： 传入前分不出byte ip + ip_byt: 判断是否含IP数据 + ''' + assert isinstance(byt, bytes), f"arg byt is not byte type" + self.data_raw = byt + + def set_ip_raw(self, byt: bytes ): + ''' 需要 光谱数据 + 兼容： 传入前分不出byte ip + ip_byt: 判断是否含IP数据 + ''' + assert isinstance(byt, bytes), f"arg byt is not byte type" + self.ip_raw = byt + + def set_ip_buf(self, byt: bytes ): + ''' 处理不含遮罩的 IP buf ''' + assert isinstance(byt, bytes) + self.ip_buf = byt + + def set_data_valid_buf(self, byt: bytes): + self.data_valid_buf = byt + pass + + def set_data_Int_254(self, int_list: list): + self.data_Int_from_Hex = int_list + pass + + + def get_data_valid_buf(self, ): + self.remove_frame_head_tail( ) + pass + + def remove_frame_head_tail(self,): + ''' 兼容 SAM 576, SAMIP 的IP数据单独传进来 + 去掉 23 00 00 00 00 00 00 ...... 01 + ''' + assert (self.data_after_remove_mask != None), "please remove mask in advance" + res = {} + buf = self.data_after_remove_mask + len_ = len(buf) + # log.warning( f"valid buf: {buf.hex()}") + # log.warning( f"len: {len_}") + + # print( f" head tail, {len_}") + # print( self.data_after_remove_mask) + # if self.typ == RamsesType.SAMIP: + # assert len_ == 602, "SAMIP sensor , wrong the num of bytes" + # self.buf_ip = self.data_after_remove_mask[:26] + # buf = buf[26:] + # # self.ip = self.decode_ip_buf(self.buf_ip, self.cal_cfg) + # # self.buf = self.buf[26:] + # len_ = len_ - 26 + assert (len_ == 576), "SAM sensor , wrong the num of bytes" + + for i in range(576): + res.update({i+1: {}}) + self.data_valid_buf = buf[7:71] + buf[79:143] + \ + buf[151:215] + buf[223:287] + \ + buf[295:359] + buf[367:431] + \ + buf[439:503] + buf[511:575] + + pass + + def set_integrate_time(self, it:int): + self.integratedTime = it + + def process_from_hex_2_int(self, mode= 0): + """ + @description :从data_after_remove_mask 到 data_Int_from_Hex + """ + assert self.data_valid_buf != None, "please remove frame head and tail" + + # print( f" == {len(self.data_valid_buf)}= {self.data_valid_buf} ") + # log.warning( f"valid buf: {self.data_valid_buf.hex()}") + self.integratedTime = 2 << int(self.data_valid_buf[0]) # integrated time + + # print(f"===============it {self.integratedTime}") + + tmp = struct.unpack( + " None: + # self.integratedTime = 2 << int(self.data_valid_buf[0]) # integrated time + # self.data_Int_from_Hex = struct.unpack( + # " np.ndarray: + '''处理raw 数据 8*72 = 576 + mode =0, 无需remmoveMask + ''' + self.rf.set_data_raw(data) # 同时传入 IPbuf + if mode == 1: + self.rf.removeMask() + else: + self.rf.data_after_remove_mask = self.rf.data_raw + self.rf.get_data_valid_buf( ) + self.rf.process_from_hex_2_int() + self.rf.calibrate_data() + + def deal_raw_data_list(self, data:list) -> np.ndarray: + ''' (15 + 26 +3*sensor) removeMask get_valid_buf''' + log.info( " ", __name__,"deal_raw_data_list ") + size = len(data) + assert size>0, ">>>> raw datalist len is 0 " + tmp_data = np.array([]) + for i in range(size): + # log.info( f" Num {i} Group ", __name__,"deal_raw_data_list ") + self.rf.set_data_raw( data[i] ) + self.rf.removeMask() + self.rf.get_data_valid_buf( ) + self.rf.process_from_hex_2_int() + self.rf.calibrate_data() + if i == 0: + tmp_data = self.rf.data_after_cal + else: + tmp_data = tmp_data + self.rf.data_after_cal + self.rf.data_after_cal = tmp_data/size + # return tmp_data/size + + def deal_raw_ip_list(self, ip_data:list) -> np.ndarray: + ''' ip_raw''' + log.info(" 处理 ip_data:list ",__name__, "deal_raw_ip_list") + pass + + def deal_raw_ip_buf(self, ip_buf:bytes) -> tuple: + ''' ip_raw''' + log.debug(" args: ip_buf ",__class__, "deal_raw_ip_buf") + return self.rf.decode_ip_buf(ip_buf) + pass + + def deal_data_valid_buf(self, data:bytes): + ''' 去 23 00 00 00 .....01后的数据, 64*8=512 ''' + self.rf.set_data_valid_buf(data) + self.rf.process_from_hex_2_int() + self.rf.calibrate_data() + + def deal_data_int254(self, data:list, integrationTime:int): + '''254 * int, integrationTime ''' + self.rf.set_data_Int_254(data) + self.rf.set_integrate_time(integrationTime) + self.rf.calibrate_data() + + def get_data_after_cal(self,): + return self.rf.data_after_cal + + +def test_01(): + """ + @description :调用RamsesTest RamsesFactory 获得结果和已知的比较 + """ + # sn = "85C2" + sn = "84E3" + cfg = {} + # r85c2 = Ramses85C2() + # cfg = r85c2.calcfg + + r84e3 = Ramses84E3() + cfg = r84e3.calcfg + # rt.get_ip_cal() + # rt.get_sam_cal() + # rt.get_ramses_cal() + + rf = RamsesFactory( SN=sn, airwater=AirWater.Air ) + rf.set_cfg(cfg ) + + # rf.set_data_raw( bytes.fromhex(r85c2.data_85C2) ) + # rf.removeMask() + # rf.get_data_valid_buf() + + + # rf.process_from_hex_2_int() + # rf.get_wavelenth(1) + # rf.calibrate_data(1) + + # rf.process_from_hex_2_int() + rf.data_Int_from_Hex = r84e3.data_Int_from_Hex + rf.set_integrate_time (256) + + print( len(rf.RamsesCalData.b0) ) + print( len(rf.RamsesCalData.b1) ) + print( len(rf.RamsesCalData.cal) ) + print( len(rf.RamsesCalData.calaq) ) + + # print( rf.RamsesCalData.samcal.DarkPixelStart ) + # print( rf.RamsesCalData.samcal.DarkPixelStop ) + + + + # rf.get_wavelenth(1) + rf.calibrate_data(1) + # 4 1077 0 0 0.016433967 0.017747166 -0.001313199 0.000333492 0.010671759 0.085698462 0.124526848 0.124526478 + # 5 1088 0 0 0.016601816 0.0177432 -0.001141384 0.000505308 0.016169857 0.102722719 0.157412665 0.157412431 + + +def test_02(): + """ + @description :调用RamsesTest RamsesFactory 获得结果和已知的比较 + """ + sn = "85C2" + cfg = {} + r85c2 = Ramses85C2() + cfg = r85c2.calcfg + + + rf = RamsesFactory( SN=sn, airwater=AirWater.Air ) + rf.set_cfg(cfg ) + + rf.set_data_raw( bytes.fromhex(r85c2.data_85C2) ) + # print(f"raw : {rf.data_raw.hex()}" ) + rf.removeMask() + + # print(f"mask : {rf.data_after_remove_mask.hex() }" ) + rf.get_data_valid_buf() + rf.process_from_hex_2_int(1) + + + # rf.data_Int_from_Hex = r85c2.data_Int_from_Hex + # rf.set_integrate_time (4096) + + # print( rf.data_Int_from_Hex) + + # print( len(rf.RamsesCalData.b0) ) + # print( len(rf.RamsesCalData.b1) ) + # print( len(rf.RamsesCalData.cal) ) + # print( len(rf.RamsesCalData.calaq) ) + + + # rf.get_wavelenth(1) + rf.calibrate_data(1) + + +if __name__ == '__main__': + # 由于很多数据，要到整数这一步取平均， 需要将平均后的整数值传进去，在处理 + + # test_01() + test_02() + # print(hex(100)) + # rc= RamsesCal() + # print(rc) + + # rt =RamsesTest() + # rt.get_sam_cal() + # rt.get_ramses_cal() + # print(rt.samcal) + pass + + +# {2: {1: {'FUNC': 'Lsky', 'SN': '85B5'}, 2: {'FUNC': 'Esky', 'SN': '50ED'}, 3: {'FUNC': 'Lwater', 'SN': '852F'}}, +# 3: {1: {'FUNC': 'Lsky', 'SN': '85B5'}, 2: {'FUNC': 'Esky', 'SN': '50ED'}, 3: {'FUNC': 'Lwater', 'SN': '852F'}}} + +# {'Lsky': +# {'SN': '85B5', 'FUNC': 'Lsky', 'TYPE': 'SAM', 'samsn': '85B5', +# 'inifile': 'SAM_85B5.ini', 'calfile': 'Cal_SAM_85B5.dat', 'calaqfile': 'CalAQ_SAM_85B5.dat', 'backfile': 'Back_SAM_85B5.dat', +# 'cal': ['+NAN',.......... \ No newline at end of file diff --git a/profiler copy.py b/profiler copy.py new file mode 100644 index 0000000..aec126c --- /dev/null +++ b/profiler copy.py @@ -0,0 +1,1279 @@ +#! python3 +# -*- encoding: utf-8 -*- +''' +@File : handheld.py +@Time : 2023/02/24 17:20:59 +@Author : Jim @ Yiwin +@Version : 1.0 +@Contact : jim@yi-win.com +''' + +CUR_TIME_STR_FMT = "%Y-%m-%d %H:%M:%S" + +import time +import locale +import struct +import numpy as np +from scipy.optimize import leastsq + +from pathlib import PurePath,Path +from myconfig import CURRENT_DIR,DATA_DIR,OUTPUT_DIR,NEWLINE,ROWFACTOR,SAVE_EXT_NAME,TOKEN +from myconfig import DeviceType,RamsesSURFACE,RamsesAWRAMS,RamsesPROFILE +from tools.mylogger import log +from tools.myexception import MyException +from tools.mytime import MyTime +from tools.mypath import MyDir +from Ramses import Ramses + +class HandHeldBuf: + def __init__(self,) -> None: + self.__buf = b'' + self.__head = {} + self.__begin_sign = b'\x23' + self.__end_sign = b'\x0D' + self.data_ip = b'' + self.measure_group = { + "Lsky": b'', + "Esky": b'', + "Lwater": b'', + } + self.one_group_data= b'' + 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 getResult(self) -> str: + return self.res + + def resetMeasureGroup(self) -> None: + self.measure_group['Lsky'] = b'' + self.measure_group['Esky'] = b'' + self.measure_group['Lwater'] = b'' + + def getMeasureGroup(self) -> dict: + return self.measure_group + + def decode_handheld(self) -> bool: + '''以26个字节开始,一般26个00 ,然后23... 07.... ''' + if self.get_buf_size() < 1754: + self.__buf = b'' + return False + + self.data_ip = self.read_buf(26) + Lsky = self.read_buf(576) + Esky = self.read_buf(576) + Lwater = self.read_buf(576) + + self.measure_group['Lsky'] = self.deal_576_to_512(Lsky) + self.measure_group['Esky'] = self.deal_576_to_512(Esky) + self.measure_group['Lwater'] = self.deal_576_to_512(Lwater) + + if self.measure_group['Lsky'] == b'' \ + or self.measure_group['Esky'] == b'' \ + or self.measure_group['Lwater'] == b'' : + return False + + return True + + def decode_one_group_handheld(self) -> bool: + '''以26个字节开始,一般26个00 ,然后23... 07.... ''' + if self.get_buf_size() < 1754: + self.__buf = b'' + return False + + self.data_ip = self.read_buf(26) + self.one_group_data = self.read_buf(1728) + + return True + + def deal_576_to_512(self,data:bytes) -> bytes: + ''' 576字节校验,拆分成字典 23... 07.... ,然后254*2''' + ret = {} + index = 72 + for i in range(8): + temp = data[i*index : i*index+index] + # print( temp.hex()) + if temp[0] != 35 and temp[0]<8 and temp>0 : + return b'' + pass + ret.update( { temp[4]: temp} ) + if len(ret) != 8: + return b'' + ret_byte = ret[7][7:71]+ ret[6][7:71]+ ret[5][7:71]+ ret[4][7:71] \ + + ret[3][7:71]+ ret[2][7:71]+ ret[1][7:71]+ ret[0][7:71] + return ret_byte + + + def decode(self) -> str: + ret = '' + temp_buf = b'' + token = ";" + if TOKEN: + token = TOKEN + + if self.state == 0: + while self.get_buf_size() >= 1: + if self.read_buf(1) != self.__end_sign: + continue + self.state = 1 + break + + if self.state == 1: + while self.get_buf_size() >= 1: + buf = self.read_buf(1) + if buf != self.__end_sign: + temp_buf += buf + if buf == self.__end_sign: + ret = temp_buf[0:20].decode( + 'utf-8').strip(" ") + token + temp_buf[-9:-1].decode('utf-8').strip(" ") + log.info(f"decode : {ret}") + temp_buf = b'' + self.back_bytes(temp_buf) # 写回临时buf到 + self.res = ret + return ret + pass + + +class HandHeldPath(object): + '''处理一次测量''' + def __init__(self, ): + self.mode = 0 + self.cfg ={} + self.mydir = MyDir() + self.base_path:Path = Path() + self.output_path:Path = Path() + self.data_path:Path = Path() + self.filelist = [] + self.error_result = [] + pass + + def setMode( self, mode:int = 0 ): + self.mode = mode + pass + + def setBasePath( self, fpath:Path ): + self.base_path = fpath + pass + + def setDataPath( self, fpath:Path ): + self.data_path = fpath + pass + + def setOutputPath( self, fpath:Path ): + self.output_path = fpath + pass + + def getSensorPathFromInfoPath( self, info_path:Path, ) -> Path: + # 服务器上转移后的模式 + if self.mode == 1: + sensor_path = self.base_path.joinpath( + info_path.parent, + "sensor.bin" + ) + elif self.mode == 0: + sensor_path = self.base_path.joinpath( + "data", + info_path.parts[1][:4] + "_" + info_path.parts[1][-2:], + info_path.parts[2], + "sensor", + info_path.name + ) + else: + sensor_path = None + return sensor_path + pass + + def getOutputPathFromSensorPath(self,sensor_path:Path ) -> Path: + if self.mode == 1: + output_path = self.output_path.joinpath( + self.info_dict['year'] + "_" + self.info_dict['month'] + + "_" + self.info_dict['day'] + "_" + self.info_dict['hour'] + + "_" + self.info_dict['minute'] + "_" + self.info_dict['second'] + ) + elif self.mode == 0: + output_path = self.output_path.joinpath( + sensor_path.parts[1][:4] + "_" + sensor_path.parts[1][-2:] + + "_" +sensor_path.parts[2] + "_" +sensor_path.name + ) + else: + output_path = None + return output_path + pass + + def getCurrentMeasureTimeFromPath(self,fpath:Path ) -> str: + ret = '' + if self.mode == 1: # 读信息txt获得时间 + txt_path = fpath.parent.glob("*.txt") + txt_stem = txt_path[0].stem + ret = fpath.parts[1][:4]+"-"+fpath.parts[1][-2:]+"-"+fpath.parts[2]+" " \ + + txt_stem[-9:-7] + ":" + txt_stem[-6:-4] + ":" + txt_stem[-3:-1] + pass + elif self.mode == 0: + ret = fpath.parts[1][:4]+"-"+fpath.parts[1][-2:]+"-"+fpath.parts[2]+" " \ + + fpath.name[0:2] + ":" + fpath.name[3:5] + ":" + fpath.name[6:8] + else: + pass + return ret + pass + + + + def getDataFileList(self, ): + ''' + 获得成对的info sensor 文件 + [目录名，文件名，年月日，时间, measure_id] + ''' + # ret = [] + fs = None + self.filelist = [] + if self.mode == 1: + fs = self.data_path.glob( "*/*/*/*/info.bin" ) + else: + fs = self.data_path.glob( "*/*/info/*" ) + + for f in fs: + error_file = {} + if f.stat().st_size==0: + error_file.update( {"path": f } ) + error_file.update( {"error":"info file size is zero"} ) + self.error_result.append(error_file) + continue + + # self.info_path_fname = f + sensor_path = self.getSensorPathFromInfoPath(f) + # sensor_path = Path(sensor_purepath) + # sensor 文件不存在 + if not sensor_path.exists(): + error_file.update( {"path":f} ) + error_file.update( {"error":"cannot find the sensor file "} ) + self.error_result.append(error_file) + continue + + # sensor文件大小为0 + if sensor_path.stat().st_size==0: + error_file.update( {"path":sensor_path} ) + error_file.update( {"error":"sensor file size of the sensor is zero' "} ) + self.error_result.append(error_file) + continue + self.setFilelist(f,sensor_path ) + pass + + + def setFilelist(self, info_path:Path, sensor_path:Path): + temp = {} + temp.update( {"info_path" : info_path } ) + temp.update( {"name" : info_path.name} ) + temp.update( {"parent" : info_path.parent} ) + + if self.mode==1: # 服务器转移后目录 + temp.update( {"year" : info_path.parts[-5] } ) + temp.update( {"month" :info_path.parts[-4] } ) + temp.update( {"day" :info_path.parts[-3] } ) + + temp.update( {"year" : info_path.parts[1][:4] } ) + temp.update( {"month" :info_path.parts[1][-2:] } ) + temp.update( {"day" :info_path.parts[2] } ) + temp.update( { "sensor_path" :sensor_path } ) + self.filelist.append(temp) + + def getFilelist(self, ): + return self.filelist + + def printTest(self,d,sleep_time:int=5): + log.info( f"***** : I am testing from HandheldPath ********", __name__ ) + print(d) + log.info( f"***** : Ending testing from HandheldPath ********", __name__ ) + time.sleep(sleep_time) + pass + +class Profiler(object): + def __init__(self, ): + """ + @description : 手持数据初始化 + 入口： dealOneMeasurement_Handheld() + 参考： 分组写成函数,一次测量多组数据分离出来。 + 保存： 按时间文件夹保存 + @comment + 1号数据: Ed 带倾斜 samip + 2号数据: Esky 可能没有 ? 如何判断，信息帧的序列号？ 数据？ + 3号数据: Lu + """ + self.device_type = DeviceType.PROFILE.name + self.device_enum = None + self.device_id = None + self.syscfg = {} + self.retrieve ={} + self.error_result =[] + self.mode = 0 # 0:默认SD数据， 1:服务器数据 + self.base_path = CURRENT_DIR + self.current_path = CURRENT_DIR + self.data_path = DATA_DIR + self.output_path = OUTPUT_DIR + self.info_path_fname:Path = self.base_path + self.sensor_path_fname:Path = self.base_path + self.filelist = [] # 包含了全部路径信息 + self.intensity_before_avg = None + self.intensity_after_avg = {} # 最终结果{lsky: esky: lwater: } + self.intensity_after_interpo = {} # 最终结果{lsky: esky: lwater: } + + self.one_group_result = {} # 手持式 多次间隔 + self.wavelength = np.array([]) + self.real_wavelength = {} # 最终结果{lsky: esky: lwater: } + self.current_filepath = '' # 不含后缀 + self.current_measure_time = None # 当前测量时间 + # self.current_group_num = 0 + # self.measurement_interval = 0 + # self.measurement_repeat = 1 + # self.sl2f = SaveList2File() + self.mydir = MyDir() + self.my_time = MyTime() + self.hhb = HandHeldBuf() + self.hhp = HandHeldPath() + self.ramses = Ramses() + self.info_dict = {} + self.res = {} # 最终结果{ld: esky: lu: Lw: Rs:} + self.depth_m_offset = 0.0 + self.tilt_range = 0.0 + self.profiler_data = { } # "depth":[], "Ed":[], "Esky":[] ,"Lu":[] + self.depth_spectrum:np.ndarray = None + self.profiler_res = None + # self.depth_m = 0.0 + # self.tilt_x = 0.0 + # self.tilt_y = 0.0 + self.depth_tilt_x_y = [] # [ {"depth":, "tilt_x": ,"tilt_y": }] + + # 方法 + self.setDeviceEnum() + self.setMode() + self.set_hhp_path() + pass + + def setMode(self,mode=0 ): + self.hhp.setMode (mode) # 0 ：读SD卡 1：读服务器数据 + + def setMeasureID(self, mid:int): + self.measure_id = mid + + def setOldFolder(self, tuple_path:tuple): + self.old_folder = self.base_path.joinpath( *tuple_path ) + + def transferFromOldFolder(self, ): + log.info( f"transferFromOldFolder: ", __name__ ) + self.getNewFolderFromOldFolder() + bin_files = self.old_folder.glob('*.bin') + for bf in bin_files: + if bf.name == "pic.bin": + bf.replace( self.new_folder.joinpath( "pic.jpg" ) ) + else: + bf.replace( self.new_folder.joinpath(bf.name) ) + pass + + def deleteOldFolder(self, ): + log.info( f"deleteOldFolder: ", __name__ ) + self.mydir.setBaseDir(self.old_folder) + self.mydir.deleteDir() + self.old_folder = DATA_DIR + + def getNewFolderFromOldFolder( self, ) -> Path: + # 服务器上转移后的模式 + tmp_folder = self.old_folder.parent.parent + path_tuple = ("20"+f"{self.info_dict['year']:02d}" + ,f"{self.info_dict['month']:02d}" + ,f"{self.info_dict['day']:02d}" + ,self.old_folder.parts[-1] ) + self.new_folder =tmp_folder.joinpath(*path_tuple) + self.mydir.setBaseDir(self.new_folder) + self.mydir.newDirIfNot() + pass + + def getInfoDict(self, ): + info_path = self.old_folder.joinpath("info.bin") + hexbin = self.read_bin(info_path) + self.info_dict = self.decode_info(hexbin) + self.new_folder = self.getNewFolderFromOldFolder() + + def getCurrentMeasureTimeFromInfoDict(self, ) -> str: + ret = "20"+ str(self.info_dict['year']) + '-' \ + + str(self.info_dict['month']) + '-' \ + + str(self.info_dict['day']) + ' ' \ + + str(self.info_dict['hour']) + ':' \ + + str(self.info_dict['minute']) + ':' \ + + str(self.info_dict['second']) + # ret = "20"+ f"{self.info_dict['year']:02d}" + '_' \ + # + f"{self.info_dict['month']:02d}" + '_' \ + # + f"{self.info_dict['day']:02d}" + '_' \ + # + f"{self.info_dict['hour']:02d}" + '_' \ + # + f"{self.info_dict['minute']:02d}" + '_' \ + # + f"{self.info_dict['second']:02d}" + return ret + pass + + def set_hhp_path(self, ): + self.hhp.setBasePath (self.base_path) + self.hhp.setDataPath (self.data_path) + self.hhp.setOutputPath (self.output_path) + + def setDeviceEnum(self, ): + if self.device_type == DeviceType.SURFACE.name: + self.device_enum = RamsesSURFACE + if self.device_type == DeviceType.AWRAMS.name: + self.device_enum = RamsesAWRAMS + if self.device_type == DeviceType.PROFILE.name: + self.device_enum = RamsesPROFILE + + def getDataFileList(self, ): + self.hhp.getDataFileList() + self.filelist = self.hhp.getFilelist() + # self.printTest(self.filelist) + pass + + def dealAllMeasurements(self, ): + log.info(f" 所有测量文件", __name__, "dealAllMeasurements", ) + if len(self.filelist)<1: + pass + # 前面已经考虑各种文件错误 + for df in self.filelist: + # 处理信息帧 + self.info_dict = {} + self.info_path_fname:Path = df["info_path"] + self.sensor_path_fname:Path = df["sensor_path"] + hex_info = self.read_bin( self.info_path_fname ) + try: + self.info_dict = self.decode_info( hex_info ) + except: + log.error( f"处理信息文件" + + "/" +self.info_path_fname.stem + + "出现错误", __name__, "dealAllMeasurements" ) + raise MyException( "处理文件"+ self.info_path_fname + "出现错误") + pass + + try: # awrams每次只有一组数据 + self.dealOneMeasurement(self.sensor_path_fname ) + # self.measurement_interval = int(self.info_dict['Measure_Interval']) + # self.measurement_repeat = int(self.info_dict['Measure_Repeat']) + # self.dealOneHandheldMeasurement(self.sensor_path_fname ) + except Exception as e: + log.error( "处理传感器文件" + self.sensor_path_fname.name + " 出现错误",__name__,"dealAllMeasurements") + raise MyException( "处理传感器文件" + self.sensor_path_fname.name + " 出现错误" ) + pass + log.info(f"Finished !! ", __name__, "dealAllMeasurements") + return True,self.error_result + pass + + def dealOneMeasurement_Profiler(self, fpath:Path): + ''' + Profiler一次测量包含多组数据 + 只有一个开始十进制 + 需要处理深度，对深度分组 + ''' + # 调用handheldbuf 处理，将一组数据提交出来 + log.info(f" 剖面测量数据", __name__, "dealOneMeasurement_Profiler") + + info_path = fpath.joinpath("info.bin") + sensor_path = fpath.joinpath("sensor.bin") + self.deal_Profiler_info_sensor_path( info_path, sensor_path ) + + + def deal_Profiler_info_sensor_path(self, info_path:Path, sensor_path:Path): + # 信息帧解析 + hex_info = self.read_bin( info_path ) + try: + self.info_dict = self.decode_info_profiler( hex_info ) + self.depth_m_offset = self.info_dict['Depth'] + except: + log.error( f"处理信息文件" + + "/" +self.info_path_fname.stem + + "出现错误", __name__, "dealOneMeasurement_Profiler" ) + raise MyException( "处理文件"+ self.info_path_fname + "出现错误") + pass + + # 当前文件名 ？ + self.hhp.setMode(1) + self.current_measure_time = self.getCurrentMeasureTimeFromInfoDict() + self.get_ymdhms() + + # self.output_path 定位到 /data/output 目录？ + self.output_path = OUTPUT_DIR.joinpath( self.ymdhms) + + log.info(f"current_measure_time: {self.current_measure_time}", __name__, "dealOneMeasurement_Profiler") + + # 获得真实波长 + self.real_wavelength = self.getWavelenthDict() + + # 读取数据 buf + self.hhb.readFile2Buf(sensor_path) + log.debug(f"buf: {self.hhb.get_buf_size()}", __name__, "dealOneMeasurement_Profiler") + + # 解析数据 获得深度 倾斜 光强 [depth, tiltx, tilty, {"Ed":"Esky","Lu"}] + self.profiler_data = self.getRetDict() + self.profiler_data.update({ "depth":[]}) + self.decode_sensor_buf_profiler() + + # 去掉倾斜不达标的数据 + self.remove_data_with_tilt_bias( ) + + # 获得深度数据，并波长插值 获得 + + + # 获得数据去拟合 -- 分拆Ed Lu + depth_ndarray = np.array(self.depth_tilt_x_y) + depth_ndarray = depth_ndarray[:,0] + data = np.array( self.intensity_before_avg ) + + res = self.leastsq_fitting( self.depth_tilt_x_y, self.intensity_before_avg ) + + + def decode_info_profiler( self, info: bytes ) -> dict: + '''info 分为两部分 : 传感器部分， 深度 倾斜部分 ''' + ret = {} + try: + temp = struct.unpack(" None: + cal = self.syscfg.get(self.device_id) + cal = cal[RamsesPROFILE(1).name] + # ?? 判断是否有IP 标定数据 ？？ + return self.ramses.decode_ip_buf(buf, cal) + pass + + def decode_sensor_buf_profiler(self,) : + ''' + 去掉倾斜超标 + 获得 {"Ed":ndarray, Lu:ndarray} + ''' + # 处理Buf，[depth, tiltx, tilty, {"Ed":"Esky","Lu"}] + while True: + if self.hhb.decode_one_group_handheld() : + break # 清空数据 + + ## 直接倾斜超标的数据 + tmp = self.get_depth_tiltx_tilty(self.hhb.data_ip) + if tmp[1] > self.tilt_range : + continue + if tmp[2] > self.tilt_range : + continue + self.profiler_data["depth"].append(tmp[0]) + + res = {} + buf = self.hhb.one_group_data[26:] + for i in range(1,4,1): + temp_buf = buf[7:71] + buf[79:143] + \ + buf[151:215] + buf[223:287] + \ + buf[295:359] + buf[367:431] + \ + buf[439:503] + buf[511:575] + + # Ramses类 标定处理，设置buf 标定文件 + self.ramses.setBuf(temp_buf) + func = self.getFuncBySeq(i) + cfg = self.getCfgByFunc( func) + self.ramses.setCalCfg(cfg) + self.ramses.resetItSpectrum() + self.ramses.ConvertAndCalibrate() + res.update({ func : self.ramses.spectrum }) + self.profiler_data[-1].append( res ) + pass + + def remove_data_with_tilt_bias( self , ): + for i in range( len(self.profiler_data) ,0,-1 ): + if abs( self.profiler_data[i][1] ) > self.tilt_range or abs( self.profiler_data[i][2] ) > self.tilt_range: + self.profiler_data.pop(i) + pass + pass + pass + + def leastsq_fitting( self, arr_x, arr_y ): + """ + @description : arr_x arr_y 是不同波长数据 + 对其列上的每个值拟合获得kd ln(lu0) + 也可以对 arr_y 先切片 + 最小二乘只能遍历处理 + arr_y 包含 Ed Lu 返回两组数据 + """ + log.info(f" ->>>> ", __name__, 'leastsq_fitting') + res = np.array([]) + + print(arr_x.shape) + print(arr_y.shape) + + for i in range( arr_y.shape[1] ) : + # 切出第一列 + row_ = arr_x + column_ = arr_y[:,i] + # 拟合 + p0 = [1,20] + para = leastsq( self.fitting_error, p0, args = ( row_, column_ ) ) + if not res.size : + res = para[0] + else: + res = np.vstack( (res, para[0]) ) + # 转置 返回,第一列为 k, 第二列为 ln(Lu0-) + print(" __ndarray_ln_leastsq_fitting ...... %s %s " % res.shape ) + print(res) + return res.T + + # 需要拟合的函数 fitting_func + def fitting_func( self, p, x ): + k,b=p + return k*x+b + + # 拟合的残差函数 + def fitting_error(self,p,x,y): + return self.fitting_func(p,x)-y + + + def dealMultiGroup(self, group_num:int ): + log.info(f"group_num: {group_num}", __name__, "dealMultiGroup") + # 分组进行处理 + for i in range(group_num): + self.current_group_num = i + # 重设当前测量时间 ,measurement_interval 间隔为s + self.real_time = self.get_current_time_by_i_interval( i,self.measurement_interval) + log.warning(f" real time -> {self.real_time}") + self.res = {} + tmp_before_avg = [] + for j in range( self.measurement_repeat ): + tmp_before_avg.append( self.intensity_before_avg[j+i*self.measurement_repeat] ) + pass + self.getAvg(tmp_before_avg) + self.__do_sensor_dict_interpo() + + # 选择追加保存， 一个Lsky 可能多组文件，只能单独保存为 Lsky Esky ..Rs + # self.appendSave() + self.getLwRs() + self.checkAndSaveData( ) + path_info_txt = self.output_path.joinpath( "info.txt" ) + self.save_dict_to_file( self.info_dict, path_info_txt ) + + def get_current_time_by_i_interval(self, i, interval): + self.my_time.setCurrentTimeStr(self.current_measure_time) + self.my_time.timeDelta(seconds=i*interval) + return self.my_time.cur_time_str + pass + + def dealOneGroup(self, ): + # 分组，并获得平均值， 255个未插值结果 (依据 measurement_interval measurement_repeat) + self.getAvg( self.intensity_before_avg ) + + # 插值 + self.real_wavelength = self.getWavelenthDict() + self.__do_sensor_dict_interpo() + + self.ymdhms = "20"+ str(self.info_dict['year']) + '_' \ + + str(self.info_dict['month']) + '_' \ + + str(self.info_dict['day']) + '_' \ + + str(self.info_dict['hour']) + '_' \ + + str(self.info_dict['minute']) + '_' \ + + str(self.info_dict['second']) + + self.output_path = self.output_path.joinpath( self.ymdhms ) + self.appendSave() + + def dealOneMeasurement(self, fpath:Path): + '''handheld一次测量包含多组数据''' + # 调用handheldbuf 处理，将一组数据提交出来 + log.info(f"dealOneMeasurement: 一组测量数据", __name__, "dealOneMeasurement") + if len(self.filelist)<1: + pass + + # 当前文件名 + self.output_path = OUTPUT_DIR + self.current_filepath = fpath + self.current_measure_time = self.hhp.getCurrentMeasureTimeFromPath(fpath) + self.ymdhms = "20"+ str(self.info_dict['year']) + '_' \ + + str(self.info_dict['month']) + '_' \ + + str(self.info_dict['day']) + '_' \ + + str(self.info_dict['hour']) + '_' \ + + str(self.info_dict['minute']) + '_' \ + + str(self.info_dict['second']) + self.output_path = self.output_path.joinpath( self.ymdhms ) + log.warning(f"current_measure_time: {self.current_measure_time}", __name__, "dealOneHandheldMeasurement") + + self.hhb.readFile2Buf(fpath) + self.decode_sensor_buf() + self.real_wavelength = self.getWavelenthDict() + self.dealOneGroup() + + def dealOneMeasurement_Online(self, ): + '''handheld一次测量包含多组数据''' + # 调用handheldbuf 处理，将一组数据提交出来 + log.info(f"dealOneMeasurement_Online: 一组测量数据", __name__, "dealOneMeasurement_Online") + + # 当前文件名 + self.output_path = self.new_folder + # self.current_measure_time = self.hhp.getCurrentMeasureTimeFromPath(fpath) + self.ymdhms = self.getTimeFnameFromInfoDict() + + # getBuf + self.get_sensor_buf() + self.decode_sensor_buf() + self.real_wavelength = self.getWavelenthDict() + + self.getAvg( self.intensity_before_avg ) + self.real_wavelength = self.getWavelenthDict() + self.__do_sensor_dict_interpo() + + self.saveOnefileForLskyEskyLwaterLwRS() + + def get_sensor_buf(self,) : + buf = b"" + self.mydir.setBaseDir(self.new_folder) + my_bin_list = self.mydir.get_files_from_currentdir("*.bin") + my_bin_list = self.mydir.sort_filepath_and_check(my_bin_list) + for mbl in my_bin_list: + buf = buf + self.read_bin(mbl) + self.hhb.write_buf(buf) + pass + + def get_ymdhms(self, ): + self.ymdhms = "20"+ f"{self.info_dict['year']:02d}" + '_' \ + + f"{self.info_dict['month']:02d}" + '_' \ + + f"{self.info_dict['day']:02d}" + '_' \ + + f"{self.info_dict['hour']:02d}" + '_' \ + + f"{self.info_dict['minute']:02d}" + '_' \ + + f"{self.info_dict['second']:02d}" + + def getTimeFnameFromInfoDict(self,) : + ymdhms = "20"+ str(self.info_dict['year']) + '_' \ + + str(self.info_dict['month']) + '_' \ + + str(self.info_dict['day']) + '_' \ + + str(self.info_dict['hour']) + '_' \ + + str(self.info_dict['minute']) + '_' \ + + str(self.info_dict['second']) + return ymdhms + + def decode_sensor_buf_profiler(self,) : + # 处理Buf，对多组数据取平均, + self.intensity_before_avg = [] + # res_before_avg = [] + self.clearRes() # 清空数据 + while True: + if not self.hhb.decode_one_group_handheld() : + break # 清空数据 + + res = {} + ip_buf = self.hhb.one_group_data[:26] + buf = self.hhb.one_group_data[26:] + for i in range(1,4,1): + temp_buf = buf[7:71] + buf[79:143] + \ + buf[151:215] + buf[223:287] + \ + buf[295:359] + buf[367:431] + \ + buf[439:503] + buf[511:575] + + # Ramses类 标定处理，设置buf 标定文件 + self.ramses.setBuf(temp_buf) + func = self.getFuncBySeq(i) + cfg = self.getCfgByFunc( func) + if i == 1 or i==3: # 两个空气中一个水中注意序号 + self.ramses.setMode(1) # 水中？？？ 另外一个是空气中的 + if i == 1: # 获得深度倾斜 + # self.decode_ip_buf( ip_buf, cfg ) + x_y_depth_m = self.ramses.decode_ip_buf( ip_buf, cfg) + self.depth_tilt_x_y.append(x_y_depth_m) + self.ramses.setCalCfg(cfg) + self.ramses.resetItSpectrum() + self.ramses.ConvertAndCalibrate() + res.update({ func : self.ramses.spectrum }) + + # 处理 深度倾斜 数据 + # depth_m_x_y = self.ramses.decode_ip_buf( ip_buf, cfg) + # self.decode_ip_buf(ip_buf) + + self.intensity_before_avg.append( res ) + pass + + def decode_sensor_buf(self,) : + # 处理Buf，对多组数据取平均 + self.intensity_before_avg = [] + # res_before_avg = [] + self.clearRes() # 清空数据 + while True: + if not self.hhb.decode_one_group_handheld() : + break # 清空数据 + + res = {} + buf = self.hhb.one_group_data[26:] + for i in range(1,4,1): + temp_buf = buf[7:71] + buf[79:143] + \ + buf[151:215] + buf[223:287] + \ + buf[295:359] + buf[367:431] + \ + buf[439:503] + buf[511:575] + + # Ramses类 标定处理，设置buf 标定文件 + self.ramses.setBuf(temp_buf) + func = self.getFuncBySeq(i) + cfg = self.getCfgByFunc( func) + self.ramses.setCalCfg(cfg) + self.ramses.resetItSpectrum() + self.ramses.ConvertAndCalibrate() + res.update({ func : self.ramses.spectrum }) + self.intensity_before_avg.append( res ) + pass + + # def decode_ip_buf( self, buf, ip_cal) : + # '''Ed校正文件去处理数据''' + # res = self.ramses.decode_ip_buf(buf,ip_cal) + # self.depth_tilt_x_y.append(res) + # pass + + # def getAvg( self, d:list) : + # log.info(f"getAvg: 平均多组数据", __name__, "getAvg") + # data = d + # ret = {} + # len_result = len(data) + # if len_result == 0: + # self.intensity_after_avg ={} + # return None + # if len_result == 1: + # self.intensity_after_avg = data[0] + # return None + # ret = data[0] + + # res_dict = self.getRetDict() + + # for k in res_dict.keys(): + # for i in range(1,len_result,1): + # data[0][k] = data[0][k] + data[i][k] + # ret = data[0][k]/len_result + # self.intensity_after_avg.update( { k : ret } ) + # log.debug(f"getAvg: {self.intensity_after_avg}", __name__, "getAvg") + # pass + + def getRetDict(self,) : + ret_dict = { } + ret_dict.update( {self.device_enum(1).name:np.array([])} ) + ret_dict.update( {self.device_enum(2).name:np.array([])} ) + ret_dict.update( {self.device_enum(3).name:np.array([])} ) + # self.one_group_result = ret_dict + return ret_dict + + def __do_sensor_dict_interpo(self,) : + log.info( f"同步处理多个个插值 ", __name__, "__do_sensor_dict_interpo" ) + self.clearRes() + for k in self.intensity_after_avg.keys(): + tmp = np.interp( self.wavelength, self.real_wavelength[k], self.intensity_after_avg[k] ) + self.res.update( { k : tmp } ) + + def getCfgByDid(self, func:str) : + cfg_id:dict = self.cfg.get(int(self.device_id)) + cfg_sensor = cfg_id.get( func) + return cfg_sensor + pass + + def getFuncBySeq(self, seq:int) : + func = "" + if self.device_type == DeviceType.AWRAMS.name: + func = RamsesAWRAMS(seq).name + if self.device_type == DeviceType.SURFACE.name: + func = RamsesAWRAMS(seq).name + if self.device_type == DeviceType.PROFILE.name: + func = RamsesAWRAMS(seq).name + return func + + def getCfgByFunc(self, func:str) : + cfg_id:dict = self.syscfg.get(int(self.device_id)) + cfg_sensor = cfg_id.get( func) + return cfg_sensor + pass + + def getCfgBySeq(self, seq:int) : + func = "" + if self.device_type == DeviceType.AWRAMS.name: + func = RamsesAWRAMS(seq).name + if self.device_type == DeviceType.SURFACE.name: + func = RamsesAWRAMS(seq).name + if self.device_type == DeviceType.PROFILE.name: + func = RamsesAWRAMS(seq).name + cfg_id:dict = self.syscfg.get(int(self.device_id)) + cfg_sensor = cfg_id.get( func) + return cfg_sensor + pass + + def saveOnefileForLskyEskyLwaterLwRS(self, ) -> bool: + log.info(f" ", __name__, "saveOnefileForLskyEskyLwaterLwRS") + self.mydir.setBaseDir(self.output_path) #基路径 + + time_name = self.getTimeFnameFromInfoDict() + Lw = self.res["Lwater"] - ROWFACTOR * self.res["Lsky"] + self.res.update({ self.device_enum(4).name : Lw }) + Rs = self.res[self.device_enum(4).name] / self.res["Esky"] + self.res.update({ self.device_enum(5).name : Rs }) + + self.mydir.setHeader( self.wavelength.tolist(), TOKEN, "device_id_"+str(self.device_id) ) + header = self.mydir.header_str + + save_path_csv = self.new_folder.joinpath(time_name + SAVE_EXT_NAME) + data_str = "" + for k in self.res.keys(): + self.mydir.setContent(self.res[k].tolist(),TOKEN,k ) + data_str = data_str + NEWLINE + self.mydir.content_str + save_path_csv.write_text(header+data_str) + + path_info_txt = self.new_folder.joinpath( time_name + "_info.txt" ) + self.save_dict_to_file( self.info_dict, path_info_txt ) + + def appendSave(self, ) -> bool: + '''self.output_path''' + self.checkAndSaveData( ) + self.getLwRsAndSave() + path_info_txt = self.output_path.joinpath( "info.txt" ) + self.save_dict_to_file( self.info_dict, path_info_txt ) + + def checkAndSaveData(self, ) -> bool: + """ + check self.Lsky Esky Lwater and Save + 处理self.res 的数据 + """ + log.info(f"checkAndSaveData: {self.output_path.parts}", __name__) + self.mydir.setBaseDir(self.output_path) #基路径 + self.mydir.setHeader( self.wavelength.tolist(), TOKEN, "device_id_"+str(self.device_id) ) + # print(f"header_str : {self.mydir.header_str[-1:]}") + + if self.current_group_num == 0: + self.newFileByFunc( self.device_enum(1).name ) + self.newFileByFunc( self.device_enum(2).name ) + self.newFileByFunc( self.device_enum(3).name ) + self.newFileByFunc( self.device_enum(4).name ) + self.newFileByFunc( self.device_enum(5).name ) + pass + + self.appendFileByFunc( self.device_enum(1).name ) + self.appendFileByFunc( self.device_enum(2).name ) + self.appendFileByFunc( self.device_enum(3).name ) + self.appendFileByFunc( self.device_enum(4).name ) + self.appendFileByFunc( self.device_enum(5).name ) + + def newFileByFunc(self, func:str) -> None: + self.mydir.newFileIfNot( func+SAVE_EXT_NAME) + if self.mydir.checkHeader() == -1: + log.error(f"请备份文件:{self.mydir.current_filepath.parent} {self.mydir.current_filepath.name}, 并删除文件后再试!", __name__) + raise MyException( f"请备份文件:{self.mydir.current_filepath.parent} {self.mydir.current_filepath.name}, 并删除文件后再试!" ) + return False + if self.mydir.checkHeader() == 1: + pass + if self.mydir.checkHeader() == 0: + self.mydir.writeHeader() + pass + + # 写入数据content + log.warning(f" write content time {self.real_time}") + self.mydir.setContent(self.res[func].tolist(), TOKEN, self.real_time) + self.mydir.writeContent() + + def appendFileByFunc(self, func:str) -> None: + # 追加写入数据content + self.mydir.setContent(self.res[func].tolist(), TOKEN, self.real_time) + self.mydir.writeContent() + + def clearRes(self, ) -> None: + self.res = { } + + def getLwRs(self, ) -> bool: + """ + 并计算Lw Rs并保存 + """ + Lw = self.res["Lwater"] - ROWFACTOR * self.res["Lsky"] + self.res.update({ self.device_enum(4).name : Lw }) + Rs = self.res["Lw"] / self.res["Esky"] + self.res.update({ self.device_enum(5).name : Rs }) + + return True + + def getLwRsAndSave(self, ) -> bool: + """ + 并计算Lw Rs并保存 + """ + Lw = self.res["Lwater"] - ROWFACTOR * self.res["Lsky"] + self.res.update({ "Lw" : Lw }) + Rs = self.res["Lw"] / self.res["Esky"] + self.res.update({ "Rs" : Rs }) + self.mydir.setBaseDir(self.output_path) #基路径 + + # 保存 + + if self.current_group_num == 0: + self.newFileByFunc( "Lw" ) + self.newFileByFunc( "Rs" ) + pass + + self.appendFileByFunc( "Lw" ) + self.appendFileByFunc( "Rs" ) + + return True + + def read_bin(self,fpath: Path): + log.debug(f" readbin: ", __name__, "", "" ) + ret = None + if not fpath.exists() : + log.info(f"not find file: {fpath} ") + return ret + with open(fpath, 'rb') as file: + ret = file.read() + return ret + log.debug(f" readbin: {ret} ", __name__, "", "" ) + return ret + pass + + + + def decode_info( self,info: bytes ) -> dict: + ret = {} + # 剖面型加了1311+24个字节共26个字节 + # 保留字节有所变化，改为序列号，每个序列号两个字节 + try: + temp = struct.unpack(" None: + temp_str = "" + for key, value in info_dict.items(): + temp_str = temp_str + key + " : " + str(value) + "\n" + with open(fpath, "w+") as f: + f.write(temp_str) + + def save_error_to_file(self, errlist: list, fpath: Path) -> None: + temp_str = "" + if len(errlist) <1: + return None + for errdict in errlist: + temp_str = temp_str + errdict["path"] +" : "+ errdict["error"] + "\n" + pass + with open(fpath, "w+") as f: + f.write(temp_str) + return None + pass + + def getWavelenthDict( self, ) -> dict: + ret_dict = self.getRetDict() + cfg_id:dict = self.syscfg + # cfg_id:dict = self.syscfg.get( int(self.device_id)) + for k in ret_dict.keys(): + tmp = self.getWavelength( cfg_id.get(k) ) + ret_dict.update({ k : tmp }) + return ret_dict + + def getWavelength(self,ramsesdict:dict) -> np.ndarray: + ret = [] + for i in range(1,256): + tmp = float(ramsesdict['c0s']) + float(ramsesdict['c1s'])*i \ + + float(ramsesdict['c2s'])*i*i + float(ramsesdict['c3s'])*i*i*i + ret.append(tmp) + pass + return np.array(ret) + + def setSyscfg_DeviceID(self, syscfg:dict, did:int): + self.device_id = did + self.syscfg = syscfg + if hasattr(self.syscfg,self.device_id): + self.syscfg = self.syscfg.get(self.device_id) + else: + raise f"传入的标定文件不包含 Device Id : {self.device_id}的标定信息" + + def set_tilt_range(self, tilt_range:float): + self.tilt_range = tilt_range + + def setSyscfg(self, syscfg:dict): + self.syscfg = syscfg + if self.device_id is not None: + self.syscfg = self.syscfg.get(self.device_id) + + def setRetrieve(self, retrieve:dict): + log.debug( f"setRetrieve : {retrieve}......", __name__ ) + self.retrieve = retrieve + self.setNewWavelength() + # self.wavelength:np.ndarray = np.arange ( self.retrieve['beginWL'], self.retrieve['endWL'], self.retrieve['interval'] ) + + def setNewWavelength(self, ): + self.wavelength:np.ndarray = np.arange ( + self.retrieve['beginWL'], self.retrieve['endWL'], self.retrieve['interval'] ) + + def setDeviceID(self, did:int): + self.device_id = did + if self.syscfg == {}: + self.syscfg = self.syscfg.get(self.device_id) + + def setDeviceType(self, device_type): + self.device_type = device_type + + def getErrorInfoDict(self, ): + return self.error_result + + def printResult(self,): + log.info( f"***** : Print Lsky Esky Lwater Lw Rs......", __name__ ) + print(self.res[self.device_enum(1)]) + print(self.res[self.device_enum(2)]) + print(self.res[self.device_enum(3)]) + print(self.res[self.device_enum(4)]) + print(self.res[self.device_enum(5)]) + pass + + def printTest(self,d,sleep_time:int=5): + log.info( f"***** : I am testing ********", __name__ ) + print(d) + log.info( f"***** : Ending testing ********", __name__ ) + time.sleep(sleep_time) + pass + +if __name__ == "__main__": + # hh = HandHeld() + # hh.getDataFileList() + # hh.dealAllMeasurements() + + # data/2023_02/07/sensor/14_02_46 + # hhb= HandHeldBuf() + # hhb.readFile2Buf("data/2023_02/07/sensor/14_02_46") + # hhb.decode_handheld() + # print(hh.error_result) + # print("======") + # print(hh.filelist) + + # print( hh.getDataFname() ) + + # t = b'\x07' + # print( int(t[0])) + # print( 2 << int(t[0])) + + + pass + diff --git a/profiler.py b/profiler.py index cc3f819..250df10 100644 --- a/profiler.py +++ b/profiler.py @@ -1,652 +1,535 @@ -#! python3 -# -*- encoding: utf-8 -*- -''' -@File : handheld.py -@Time : 2023/02/24 17:20:59 -@Author : Jim @ Yiwin -@Version : 1.0 -@Contact : jim@yi-win.com -''' - -CUR_TIME_STR_FMT = "%Y-%m-%d %H:%M:%S" - -import time -import locale -import struct +from dataclasses import dataclass,field +from pathlib import Path +from typing import Any,List,Callable +from enum import Enum import numpy as np +import struct +import time from scipy.optimize import leastsq - -from pathlib import PurePath,Path -from myconfig import CURRENT_DIR,DATA_DIR,OUTPUT_DIR,NEWLINE,ROWFACTOR,SAVE_EXT_NAME,TOKEN -from myconfig import DeviceType,RamsesSURFACE,RamsesAWRAMS,RamsesPROFILE +from datetime import datetime, timedelta +from myRamses import RamsesFactoryHandle,AirWater from tools.mylogger import log -from tools.myexception import MyException -from tools.mytime import MyTime -from tools.mypath import MyDir -from Ramses import Ramses - -class HandHeldBuf: - def __init__(self,) -> None: - self.__buf = b'' - self.__head = {} - self.__begin_sign = b'\x23' - self.__end_sign = b'\x0D' - self.data_ip = b'' - self.measure_group = { - "Lsky": b'', - "Esky": b'', - "Lwater": b'', - } - self.one_group_data= b'' - 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__() +from myconfig import TOKEN,NEWLINE,DATA_DIR,SAVE_EXT_NAME +from myconfig import RamsesPROFILE - 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 getResult(self) -> str: - return self.res - - def resetMeasureGroup(self) -> None: - self.measure_group['Lsky'] = b'' - self.measure_group['Esky'] = b'' - self.measure_group['Lwater'] = b'' - - def getMeasureGroup(self) -> dict: - return self.measure_group - - def decode_handheld(self) -> bool: - '''以26个字节开始,一般26个00 ,然后23... 07.... ''' - if self.get_buf_size() < 1754: - self.__buf = b'' - return False - - self.data_ip = self.read_buf(26) - Lsky = self.read_buf(576) - Esky = self.read_buf(576) - Lwater = self.read_buf(576) - - self.measure_group['Lsky'] = self.deal_576_to_512(Lsky) - self.measure_group['Esky'] = self.deal_576_to_512(Esky) - self.measure_group['Lwater'] = self.deal_576_to_512(Lwater) - - if self.measure_group['Lsky'] == b'' \ - or self.measure_group['Esky'] == b'' \ - or self.measure_group['Lwater'] == b'' : - return False - - return True - - def decode_one_group_handheld(self) -> bool: - '''以26个字节开始,一般26个00 ,然后23... 07.... ''' - if self.get_buf_size() < 1754: - self.__buf = b'' - return False - - self.data_ip = self.read_buf(26) - self.one_group_data = self.read_buf(1728) - - return True - - def deal_576_to_512(self,data:bytes) -> bytes: - ''' 576字节校验,拆分成字典 23... 07.... ,然后254*2''' - ret = {} - index = 72 - for i in range(8): - temp = data[i*index : i*index+index] - # print( temp.hex()) - if temp[0] != 35 and temp[0]<8 and temp>0 : - return b'' - pass - ret.update( { temp[4]: temp} ) - if len(ret) != 8: - return b'' - ret_byte = ret[7][7:71]+ ret[6][7:71]+ ret[5][7:71]+ ret[4][7:71] \ - + ret[3][7:71]+ ret[2][7:71]+ ret[1][7:71]+ ret[0][7:71] - return ret_byte - - - def decode(self) -> str: - ret = '' - temp_buf = b'' - token = ";" - if TOKEN: - token = TOKEN - - if self.state == 0: - while self.get_buf_size() >= 1: - if self.read_buf(1) != self.__end_sign: - continue - self.state = 1 - break +TIME_STR = "2022-06-10 16:16:16" +STD_TIME_STR_FMT = "%Y-%m-%d %H:%M:%S" # 小写y是两位年份 +CUR_TIME_STR_FMT = "%Y-%m-%d %H:%M:%S" - if self.state == 1: - while self.get_buf_size() >= 1: - buf = self.read_buf(1) - if buf != self.__end_sign: - temp_buf += buf - if buf == self.__end_sign: - ret = temp_buf[0:20].decode( - 'utf-8').strip(" ") + token + temp_buf[-9:-1].decode('utf-8').strip(" ") - log.info(f"decode : {ret}") - temp_buf = b'' - self.back_bytes(temp_buf) # 写回临时buf到 - self.res = ret +@dataclass +class InfoFrame(object): + """ 剖面， 深度Depth: offset""" + infoBytes:bytes = None + time_str:str= None + time_stamp:int= None + year:str= None + month:str= None + day:str= None + hour:str= None + minute:str= None + second:str= None + Roll: int= None + Pitch:int= None + Yaw:int= None + Hx:int= None + Hy:int= None + lon:int= None + lat:int= None + satelite_num:int= None + PDOP:int= None + HDOP:int= None + VDOP:int= None + Temperature:int= None + Humidity:int = None + Battery:int= None + ErrorCode:int= None + Azimuth:int= None + RunAngle:int= None + MeasureGroupNum:int= None + Tiltx:int= None + Tilty:int= None + Depth:int= None + SN1:str= None + SN2:str= None + SN3:str= None + MeasureInterval :int= None + MeasureRepeat: int= None + ip_bytes = b'' + + def output_info_frame(self, ): + ret = "" + ret = ret + "time : " + self.time_stamp + ret = ret + NEWLINE + "time_stamp : " + self.time_stamp + ret = ret + NEWLINE + "year : " + self.year + ret = ret + NEWLINE + "month : " + self.month + ret = ret + NEWLINE + "day : " + self.day + ret = ret + NEWLINE + "hour : " + self.hour + ret = ret + NEWLINE + "minute : " + self.minute + ret = ret + NEWLINE + "second : " + self.second + + ret = ret + NEWLINE + "Roll : " + self.Roll + ret = ret + NEWLINE + "Pitch : " + self.Pitch + ret = ret + NEWLINE + "Yaw : " + self.Yaw + ret = ret + NEWLINE + "Hx : " + self.Hx + ret = ret + NEWLINE + "Hy : " + self.Hy + ret = ret + NEWLINE + "Hz : " + self.Hz + ret = ret + NEWLINE + "lon : " + self.lon + ret = ret + NEWLINE + "lat : " + self.lat + ret = ret + NEWLINE + "PDOP : " + self.PDOP + ret = ret + NEWLINE + "HDOP : " + self.HDOP + ret = ret + NEWLINE + "VDOP : " + self.VDOP + ret = ret + NEWLINE + "Temperature : " + self.Temperature + ret = ret + NEWLINE + "Humidity : " + self.Humidity + ret = ret + NEWLINE + "Battery : " + self.Battery + ret = ret + NEWLINE + "ErrorCode : " + self.ErrorCode + ret = ret + NEWLINE + "Azimuth : " + self.Azimuth + ret = ret + NEWLINE + "RunAngle : " + self.RunAngle + ret = ret + NEWLINE + "MeasureGroupNum : " + self.MeasureGroupNum + ret = ret + NEWLINE + "Tiltx : " + self.Tiltx + ret = ret + NEWLINE + "Tilty : " + self.Tilty + ret = ret + NEWLINE + "Depth : " + self.Depth + + ret = ret + NEWLINE + "SN1 : " + self.SN1 + ret = ret + NEWLINE + "SN2 : " + self.SN2 + ret = ret + NEWLINE + "SN3 : " + self.SN3 + ret = ret + NEWLINE + "MeasureInterval : " + self.MeasureInterval + ret = ret + NEWLINE + "MeasureRepeat : " + self.MeasureRepeat return ret pass + + def set_info_frame(self, info:bytes): + ret = {} + try: + temp = struct.unpack(" Path: - # 服务器上转移后的模式 - if self.mode == 1: - sensor_path = self.base_path.joinpath( - info_path.parent, - "sensor.bin" - ) - elif self.mode == 0: - sensor_path = self.base_path.joinpath( - "data", - info_path.parts[1][:4] + "_" + info_path.parts[1][-2:], - info_path.parts[2], - "sensor", - info_path.name - ) - else: - sensor_path = None - return sensor_path + def set_wavelength(self, wv:List): + self.wavelength = wv pass - def getOutputPathFromSensorPath(self,sensor_path:Path ) -> Path: - if self.mode == 1: - output_path = self.output_path.joinpath( - self.info_dict['year'] + "_" + self.info_dict['month'] - + "_" + self.info_dict['day'] + "_" + self.info_dict['hour'] - + "_" + self.info_dict['minute'] + "_" + self.info_dict['second'] - ) - elif self.mode == 0: - output_path = self.output_path.joinpath( - sensor_path.parts[1][:4] + "_" + sensor_path.parts[1][-2:] - + "_" +sensor_path.parts[2] + "_" +sensor_path.name - ) - else: - output_path = None - return output_path - pass + def set_spectrum(self, spectrum:List): + self.spectrum = spectrum + pass - def getCurrentMeasureTimeFromPath(self,fpath:Path ) -> str: - ret = '' - if self.mode == 1: # 读信息txt获得时间 - txt_path = fpath.parent.glob("*.txt") - txt_stem = txt_path[0].stem - ret = fpath.parts[1][:4]+"-"+fpath.parts[1][-2:]+"-"+fpath.parts[2]+" " \ - + txt_stem[-9:-7] + ":" + txt_stem[-6:-4] + ":" + txt_stem[-3:-1] - pass - elif self.mode == 0: - ret = fpath.parts[1][:4]+"-"+fpath.parts[1][-2:]+"-"+fpath.parts[2]+" " \ - + fpath.name[0:2] + ":" + fpath.name[3:5] + ":" + fpath.name[6:8] - else: - pass - return ret + def get_wavelength(self ): + return self.wavelength pass + def get_spectrum(self ): + return self.spectrum + pass + +@dataclass +class ProfilerData(object): + deviceid:int =None + configSensor:List[str] = None # 序列号 Ed Esky Lu + configFunc:List[str] = None # Ed Esky Lu + currentPath:Path =None + info_frame:InfoFrame = None + data_frame:DataFrame = None # 数据只到分组成byte结束 + ramsesFactoryHandle:List[RamsesFactoryHandle] = None # 多个工厂，每个工厂有自己的 标定文件及参数，工厂标记序列哈，只处理相同序列号的产品数据 + depth:float = None + tiltx:float = None + tilty:float = None + wavelength:List[List[float]] =None + spectrum:List[List[float]] =None + pass - def getDataFileList(self, ): - ''' - 获得成对的info sensor 文件 - [目录名，文件名，年月日，时间, measure_id] - ''' - # ret = [] - fs = None - self.filelist = [] - if self.mode == 1: - fs = self.data_path.glob( "*/*/*/*/info.bin" ) - else: - fs = self.data_path.glob( "*/*/info/*" ) - - for f in fs: - error_file = {} - if f.stat().st_size==0: - error_file.update( {"path": f } ) - error_file.update( {"error":"info file size is zero"} ) - self.error_result.append(error_file) - continue - - # self.info_path_fname = f - sensor_path = self.getSensorPathFromInfoPath(f) - # sensor_path = Path(sensor_purepath) - # sensor 文件不存在 - if not sensor_path.exists(): - error_file.update( {"path":f} ) - error_file.update( {"error":"cannot find the sensor file "} ) - self.error_result.append(error_file) - continue - - # sensor文件大小为0 - if sensor_path.stat().st_size==0: - error_file.update( {"path":sensor_path} ) - error_file.update( {"error":"sensor file size of the sensor is zero' "} ) - self.error_result.append(error_file) - continue - self.setFilelist(f,sensor_path ) - pass - - - def setFilelist(self, info_path:Path, sensor_path:Path): - temp = {} - temp.update( {"info_path" : info_path } ) - temp.update( {"name" : info_path.name} ) - temp.update( {"parent" : info_path.parent} ) - - if self.mode==1: # 服务器转移后目录 - temp.update( {"year" : info_path.parts[-5] } ) - temp.update( {"month" :info_path.parts[-4] } ) - temp.update( {"day" :info_path.parts[-3] } ) - - temp.update( {"year" : info_path.parts[1][:4] } ) - temp.update( {"month" :info_path.parts[1][-2:] } ) - temp.update( {"day" :info_path.parts[2] } ) - temp.update( { "sensor_path" :sensor_path } ) - self.filelist.append(temp) - - def getFilelist(self, ): - return self.filelist - - def printTest(self,d,sleep_time:int=5): - log.info( f"***** : I am testing from HandheldPath ********", __name__ ) - print(d) - log.info( f"***** : Ending testing from HandheldPath ********", __name__ ) - time.sleep(sleep_time) + def __post_init__(self): + assert self.deviceid != None , ">>>> AWRAMSData deviceid is empty" pass -class Profiler(object): - def __init__(self, ): + def build_datafactory_by_configSensor(self,calcfg:dict): """ - @description : 手持数据初始化 - 入口： dealOneMeasurement_Handheld() - 参考： 分组写成函数,一次测量多组数据分离出来。 - 保存： 按时间文件夹保存 - @comment - 1号数据： Ed 带倾斜 samip - 2号数据： Esky 可能没有 ? 如何判断，信息帧的序列号？ 数据？ - 3号数据： Lu + @description : 调用工厂得到整数值 + @param : 576字节数据, 数据id(第几个传感器,还是序列号？) + @Returns : List[int] """ - self.device_type = DeviceType.PROFILE.name - self.device_enum = None - self.device_id = {} - self.syscfg = {} - self.retrieve ={} - self.error_result=[] - self.mode = 0 # 0:默认SD数据， 1:服务器数据 - self.base_path = CURRENT_DIR - self.current_path = CURRENT_DIR - self.data_path = DATA_DIR - self.output_path = OUTPUT_DIR - self.info_path_fname:Path = self.base_path - self.sensor_path_fname:Path = self.base_path - self.filelist = [] # 包含了全部路径信息 - self.intensity_before_avg = None - self.intensity_after_avg = {} # 最终结果{lsky: esky: lwater: } - self.intensity_after_interpo = {} # 最终结果{lsky: esky: lwater: } - - self.one_group_result = {} # 手持式 多次间隔 - self.wavelength = np.array([]) - self.real_wavelength = {} # 最终结果{lsky: esky: lwater: } - self.current_filepath = '' # 不含后缀 - self.current_measure_time = None # 当前测量时间 - self.current_group_num = 0 - self.measurement_interval = 0 - self.measurement_repeat = 1 - # self.sl2f = SaveList2File() - self.mydir = MyDir() - self.my_time = MyTime() - self.hhb = HandHeldBuf() - self.hhp = HandHeldPath() - self.ramses = Ramses() - self.info_dict = {} - self.res = {} # 最终结果{ld: esky: lu: Lw: Rs:} - self.depth_m_offset = 0.0 - # self.depth_m = 0.0 - # self.tilt_x = 0.0 - # self.tilt_y = 0.0 - self.depth_tilt_x_y = [] # [ {"depth":, "tilt_x": ,"tilt_y": }] - - # 方法 - self.setDeviceEnum() - self.setMode() - self.set_hhp_path() + assert self.configSensor != None, ">>>> AWRAMSData configSensor is None" + self.ramsesFactoryHandle = [None,None,None] + for i in range(0, len( self.configSensor)): + # log.warning( self.configFunc[i], "build_datafactory_by_configSensor" ) + cfg = calcfg[self.configFunc[i]] + tmp_ramses_factory_handle = RamsesFactoryHandle( sn= self.configSensor[i], cfg=cfg ) + if self.configFunc[i] == RamsesPROFILE(1).name or self.configFunc[i] == RamsesPROFILE(3).name: + tmp_ramses_factory_handle.set_air_water(AirWater.Water) + self.ramsesFactoryHandle[i] = tmp_ramses_factory_handle + + # 获得波长 + def set_wavelength(self ): + self.wavelength = [] + for i in range(0, len( self.configSensor)): + self.ramsesFactoryHandle[i].rf.get_wavelenth() + self.wavelength.append (self.ramsesFactoryHandle[i].rf.Wavelength) + + def set_info_frame(self, info_frame:bytes): + self.info_frame = InfoFrame() + self.info_frame.set_info_frame(info_frame) #已经解析 pass - def setMode(self,mode=0 ): - self.hhp.setMode (mode) # 0 ：读SD卡 1：读服务器数据 - - def setMeasureID(self, mid:int): - self.measure_id = mid - - def setOldFolder(self, tuple_path:tuple): - self.old_folder = self.base_path.joinpath( *tuple_path ) + def set_data_frame( self, data_byte: bytes , pth: Path, func ): + """ + @description : 剖面数据, 处理某个深度的 1754字节数据 + TODO : 依据数据数量进行处理 + """ + log.debug( f" arg: data_byte: bytes ", __class__, "set_data_frame" ) + self.data_frame = DataFrame() + # self.data_frame.set_ramses_num(3) + self.data_frame.set_data_bytes(data_byte ) + + # 调用ramsesFactoryHandle 对字节数据进行处理 + ip_buf = self.data_frame.data_ip + # self.wavelength = [] + self.spectrum = [] + for i in range(0, len( self.configSensor)): + self.ramsesFactoryHandle[i].deal_raw_data( self.data_frame.data_ramses[i], 0) + self.spectrum.append (self.ramsesFactoryHandle[i].rf.data_after_cal) + if self.configFunc[i] == RamsesPROFILE(1).name: + self.depth,self.tiltx,self.tilty = self.ramsesFactoryHandle[i].deal_raw_ip_buf(self.data_frame.data_ip) + pass - def transferFromOldFolder(self, ): - log.info( f"transferFromOldFolder: ", __name__ ) - self.getNewFolderFromOldFolder() - bin_files = self.old_folder.glob('*.bin') - for bf in bin_files: - if bf.name == "pic.bin": - bf.replace( self.new_folder.joinpath( "pic.jpg" ) ) - else: - bf.replace( self.new_folder.joinpath(bf.name) ) - pass + # 回调函数 + func( self.wavelength, self.spectrum,self.depth,self.tiltx,self.tilty) - def deleteOldFolder(self, ): - log.info( f"deleteOldFolder: ", __name__ ) - self.mydir.setBaseDir(self.old_folder) - self.mydir.deleteDir() - self.old_folder = DATA_DIR - def getNewFolderFromOldFolder( self, ) -> Path: - # 服务器上转移后的模式 - tmp_folder = self.old_folder.parent.parent - path_tuple = ("20"+f"{self.info_dict['year']:02d}" - ,f"{self.info_dict['month']:02d}" - ,f"{self.info_dict['day']:02d}" - ,self.old_folder.parts[-1] ) - self.new_folder =tmp_folder.joinpath(*path_tuple) - self.mydir.setBaseDir(self.new_folder) - self.mydir.newDirIfNot() +@dataclass +class Profiler(object): + deviceid:int = None + configSensor:List[str] =None # 序列号 + configFunc:List[str] =None # 功能 Ed Esky Lu + calibrationCfg:dict =None + data : ProfilerData =None + depth : List[float] =None + wavelength:List[np.ndarray] =None + spectrum:List[np.ndarray] =None + beginWavelength: float = None + endWavelength: float = None + rowFactor:float = None + wvInterval: float = None + depth_offset = None + tiltx_range = 1.0 + tilty_range = 1.0 + newWavelength:np.ndarray= None + Ed:np.ndarray = None # 无需记录原始波长，记录插值后的波长 + Esky:np.ndarray = None + Lu:np.ndarray = None + Kd:np.ndarray = None + Ed0:np.ndarray = None + Ku:np.ndarray = None + Lu0:np.ndarray = None + Lw:np.ndarray = None + Rs:np.ndarray = None + + afterdeal = [] + afterresult =[] + + def __post_init__(self): + assert self.deviceid != None + self.data = ProfilerData(deviceid=self.deviceid ) pass - - def getInfoDict(self, ): - info_path = self.old_folder.joinpath("info.bin") - hexbin = self.read_bin(info_path) - self.info_dict = self.decode_info(hexbin) - self.new_folder = self.getNewFolderFromOldFolder() - - def getCurrentMeasureTimeFromInfoDict(self, ) -> str: - ret = "20"+ str(self.info_dict['year']) + '-' \ - + str(self.info_dict['month']) + '-' \ - + str(self.info_dict['day']) + ' ' \ - + str(self.info_dict['hour']) + ':' \ - + str(self.info_dict['minute']) + ':' \ - + str(self.info_dict['second']) - # ret = "20"+ f"{self.info_dict['year']:02d}" + '_' \ - # + f"{self.info_dict['month']:02d}" + '_' \ - # + f"{self.info_dict['day']:02d}" + '_' \ - # + f"{self.info_dict['hour']:02d}" + '_' \ - # + f"{self.info_dict['minute']:02d}" + '_' \ - # + f"{self.info_dict['second']:02d}" - return ret + + def set_cfg_calibration(self,calcfg:dict): + assert self.deviceid != None + # assert self.deviceid in calcfg.keys(), f">>>> No calibrations data for the current id {self.deviceid}" + self.calibrationCfg = calcfg + pass + + def set_retrieve(self,rtv:dict): + self.beginWavelength = float(rtv["beginWL"]) + self.endWavelength = float(rtv["endWL"]) + self.wvInterval = float(rtv["interval"]) + self.n_t_square = float(rtv["n_t_square"]) + # self.rowFactor = float(rtv["rowFactor"]) # TODO + self.newWavelength = np.arange(self.beginWavelength,self.endWavelength,self.wvInterval) pass - def set_hhp_path(self, ): - self.hhp.setBasePath (self.base_path) - self.hhp.setDataPath (self.data_path) - self.hhp.setOutputPath (self.output_path) - - def setDeviceEnum(self, ): - if self.device_type == DeviceType.SURFACE.name: - self.device_enum = RamsesSURFACE - if self.device_type == DeviceType.AWRAMS.name: - self.device_enum = RamsesAWRAMS - if self.device_type == DeviceType.PROFILE.name: - self.device_enum = RamsesPROFILE + def set_ramses_sensor_numbers(self, num:int = 3): + self.data.data_frame = DataFrame() + self.data.data_frame.set_ramses_num( num ) + pass - def getDataFileList(self, ): - self.hhp.getDataFileList() - self.filelist = self.hhp.getFilelist() - # self.printTest(self.filelist) + def set_tilt_range( self, tilt_angle:float = 7 ): + self.tiltx_range = tilt_angle + self.tilty_range = tilt_angle + pass + + def config_awrams(self, cfg:dict): + assert self.deviceid in cfg.keys(), f'>> Cannot get the configuration of device id : {self.deviceid}' + self.configSensor = [ None, None, None ] + self.configFunc = [ None, None, None ] + + # Ed Esky Lu + # {1: {'FUNC': 'Ed', 'SN': '85B5'}, 2: {'FUNC': 'Esky', 'SN': '50ED'}, 3: {'FUNC': 'Lu', 'SN': '852F'}} + for k,v in cfg.items() : + if v["FUNC"] == RamsesPROFILE(1).name: + self.configSensor[0] = v["SN"] + self.configFunc[0] = v["FUNC"] + if v["FUNC"] == RamsesPROFILE(2).name: + self.configSensor[1] = v["SN"] + self.configFunc[1] = v["FUNC"] + if v["FUNC"] == RamsesPROFILE(3).name: + self.configSensor[2] = v["SN"] + self.configFunc[2] = v["FUNC"] + + if RamsesPROFILE(1).name not in self.configFunc: + raise f" No Ed cal info" + if RamsesPROFILE(3).name not in self.configFunc: + raise f" No Lu cal info" + # 将传感器配置传给 AWRAMSDATA + self.data = ProfilerData( deviceid=self.deviceid, configSensor=self.configSensor, configFunc=self.configFunc ) + # 将标定配置传给 AWRAMSData 建立工厂 + self.data.build_datafactory_by_configSensor( self.calibrationCfg) pass - def dealAllMeasurements(self, ): - log.info(f" 所有测量文件", __name__, "dealAllMeasurements", ) - if len(self.filelist)<1: - pass - # 前面已经考虑各种文件错误 - for df in self.filelist: - # 处理信息帧 - self.info_dict = {} - self.info_path_fname:Path = df["info_path"] - self.sensor_path_fname:Path = df["sensor_path"] - hex_info = self.read_bin( self.info_path_fname ) - try: - self.info_dict = self.decode_info( hex_info ) - except: - log.error( f"处理信息文件" - + "/" +self.info_path_fname.stem - + "出现错误", __name__, "dealAllMeasurements" ) - raise MyException( "处理文件"+ self.info_path_fname + "出现错误") - pass - - try: # awrams每次只有一组数据 - self.dealOneMeasurement(self.sensor_path_fname ) - # self.measurement_interval = int(self.info_dict['Measure_Interval']) - # self.measurement_repeat = int(self.info_dict['Measure_Repeat']) - # self.dealOneHandheldMeasurement(self.sensor_path_fname ) - except Exception as e: - log.error( "处理传感器文件" + self.sensor_path_fname.name + " 出现错误",__name__,"dealAllMeasurements") - raise MyException( "处理传感器文件" + self.sensor_path_fname.name + " 出现错误" ) - pass - log.info(f"Finished !! ", __name__, "dealAllMeasurements") - return True,self.error_result + def get_depth_offset(self,): + assert self.data.info_frame.ip_bytes != b'', ">>>> No Ip_bytes data,Pls check!" + ip_bytes = self.data.info_frame.ip_bytes + cal = self.calibrationCfg.get( RamsesPROFILE(1).name) + self.depth_offset,_,_ = self.decode_ip_buf(ip_bytes, cal) + self.depth = [] # depth None -> List pass - # def dealOneMeasurement_Handheld(self, fpath:Path): - # '''handheld一次测量包含多组数据''' - # # 调用handheldbuf 处理，将一组数据提交出来 - # log.info(f" 手持测量数据", __name__, "dealOneMeasurement_Handheld") - - # info_path = fpath.joinpath("info.bin") - # sensor_path = fpath.joinpath("sensor.bin") + def decode_ip_buf(self, buf, ip_cal:dict): + tmpbuf = buf + if len(tmpbuf) == 26 and tmpbuf[0] == 0x13: + tmpbuf = tmpbuf[2:] - # # 信息帧解析 - # hex_info = self.read_bin( info_path ) - # try: - # self.info_dict = self.decode_info( hex_info ) - # except: - # log.error( f"处理信息文件" - # + "/" +self.info_path_fname.stem - # + "出现错误", __name__, "dealOneMeasurement_Handheld" ) - # raise MyException( "处理文件"+ self.info_path_fname + "出现错误") - # pass + Incl_Xgain = float(ip_cal['Incl_Xgain'] ) + Incl_Xoffset = float(ip_cal['Incl_Xoffset'] ) + Incl_Ygain = float(ip_cal['Incl_Ygain'] ) + Incl_Yoffset = float(ip_cal['Incl_Yoffset'] ) - # # 当前文件名 ？ - - # self.hhp.setMode(1) - # self.current_measure_time = self.getCurrentMeasureTimeFromInfoDict() - # self.get_ymdhms() + Incl_Kref = float(ip_cal['Incl_Kref'] ) + Press_Sens_mV_bar_1mA = float(ip_cal['Press_Sens_mV_bar_1mA'] ) + Incl_KBG = float(ip_cal['Incl_KBG'] ) + Press_Sens_mV_bar_4mA = float(ip_cal['Press_Sens_mV_bar_4mA'] ) + Press_Gain = float(ip_cal['Press_Gain'] ) + Press_Surface_bar = float(ip_cal['Press_Surface_bar'] ) + + ip_info = struct.unpack(" self.tiltx_range: + return None + if args[2] and abs(args[2]) > self.tilty_range: + return None - # 当前文件名 ？ - self.hhp.setMode(1) - self.current_measure_time = self.getCurrentMeasureTimeFromInfoDict() - self.get_ymdhms() + # 深度值 + log.debug( f" call back depth offset: {self.depth_offset} ", __class__ ) + log.debug( f" call back depth : {args[0]} ", __class__ ) + self.depth.append( args[0] - self.depth_offset ) - # self.output_path 定位到 /data/output 目录？ - self.output_path = OUTPUT_DIR.joinpath( self.ymdhms) - - log.warning(f"current_measure_time: {self.current_measure_time}", __name__, "dealOneMeasurement_Profiler") - - # 获得真实波长 - self.real_wavelength = self.getWavelenthDict() - - # 读取数据 buf - self.hhb.readFile2Buf(sensor_path) - log.debug(f"buf: {self.hhb.get_buf_size()}", __name__, "dealOneMeasurement_Profiler") - self.decode_sensor_buf() + wv = wavelength + spctrm = spectrum - # 解析Buf, 对buf分组，获得[{lsky: esky : lwater} .... ] - # 可能需要 传感器序列号数据，判断几个传感器。 如何判断几个传感器？？????? + log.debug( f" call back wv : {wv} ", __class__ ) + log.debug( f" call back spctrm : {spctrm} ", __class__ ) + # 插值处理， 直接处理, 不按传感器功能处理了 + tmp_Ed = np.interp( self.newWavelength, np.array(wv[0]), np.array(spctrm[0]) ) + tmp_Lu = np.interp( self.newWavelength, np.array(wv[2]), np.array(spctrm[2]) ) - # 剖面 - - # 去掉倾斜不达标的数据 -- 格式ndarray 多维数组？ - self.remove_data_with_tilt_beyond( self.depth_tilt_x_y, self.intensity_before_avg ) - - # 获得数据去拟合 -- 分拆Ed Lu - depth_ndarray = np.array(self.depth_tilt_x_y) - depth_ndarray = depth_ndarray[:,0] - data = np.array( self.intensity_before_avg ) - - + if not self.Ed.size : + self.Ed = tmp_Ed + else: + self.Ed = np.vstack( (self.Ed, tmp_Ed) ) + if not self.Lu.size : + self.Lu = tmp_Lu + else: + self.Lu = np.vstack( (self.Lu, tmp_Lu) ) + + def reset_profiler(self,): + log.info( " >> ",__class__,"reset_profiler" ) + self.Ed = np.array([]) + self.Esky = np.array([]) + self.Lu = np.array([]) + self.Kd = np.array([]) + self.Ed0 = np.array([]) + self.Ku = np.array([]) + self.Lu0 = np.array([]) + self.Lw = np.array([]) + self.Rs = np.array([]) - res = self.leastsq_fitting( self.depth_tilt_x_y, self.intensity_before_avg ) - + + def process_profiler(self,n_t_square:float): + log.info( " >> ",__class__,"process_profiler" ) + self.get_Ed0_kd() + self.get_Lu0_Ku() + self.get_Lw_Rs(n_t_square) + + def get_Lw_Rs ( self, n_t_square:float): + ''' Get Lw Rs ''' + log.info( " get_Lw_Rs............ ",__class__,"get_Lw_Rs" ) + self.Lw = n_t_square * self.Lu0 + self.Rs = self.Lw/ self.Ed0 + + def get_Lu0_Ku ( self, ): + '''' Get Lu0 Ku ''' + log.info( " get_lu0_Ku......... ", __class__, "get_Lu0_Ku" ) + x = np.array(self.depth) + y = np.log(self.Lu) # ln_Lu + self.Ku,ln_Lu0 = self.leastsq_linear_fitting( x, y) + self.Lu0 = np.exp(ln_Lu0) + + def get_Ed0_kd( self, ): + '''' Get Ed0 Kd ''' + log.info( " get_Ed0_kd.......... ",__class__,"get_Ed0_kd" ) + # log.warning( f"depth: {self.depth}" ) + x = np.array(self.depth) + y = np.log(self.Ed) # ln_Ed + self.Kd, ln_Ed0 = self.leastsq_linear_fitting( x, y) + self.Ed0 = np.exp(ln_Ed0) - - # group_num = int(len_total/self.measurement_repeat) - - # log.debug(f"group_num...: {group_num}", __name__, "dealOneMeasurement_Profiler") - # self.real_wavelength = self.getWavelenthDict() - # # if group_num == 1: - # # self.dealOneGroup() # self.intensity_before_avg - # # return - - # self.dealMultiGroup(group_num) - - def remove_data_with_tilt_beyond( self, arr_x:list, arr_y:list, degree): - if len(arr_x) != len(arr_y.shape): - raise MyException( f"深度和数据的维度有误" ) - pass - for i in range( len(arr_x),0,-1 ): - if abs( arr_x[i][1] ) > degree or abs( arr_x[i][2] ) > degree: - arr_x.pop(i) - arr_y.pop(i) - pass - pass - pass - - def leastsq_fitting( self, arr_x, arr_y ): - """ - @description : arr_x arr_y 是不同波长数据 - 对其列上的每个值拟合获得kd ln(lu0) - 也可以对 arr_y 先切片 - 最小二乘只能遍历处理 - arr_y 包含 Ed Lu 返回两组数据 - """ - log.info(f" ->>>> ", __name__, 'leastsq_fitting') - res = np.array([]) - - print(arr_x.shape) - print(arr_y.shape) + # t = self.leastsq_linear_fitting( x, y) + + # log.warning(self.Kd) + # log.warning(t) + # log.warning(self.Ed0) + + def leastsq_linear_fitting( self, arr_depth:np.ndarray, arr_data:np.ndarray ): + '''最小二乘拟合 + # arr_depth np一维数组 + # arr_data np二维数组,需切片出来处理 + ''' + log.info(f" ->>>> ", __class__, 'leastsq_linear_fitting y=kx+b') + k = [] + b = [] + arr_x = arr_depth + arr_y = arr_data + # print(arr_x.shape) + # print(arr_y.shape) for i in range( arr_y.shape[1] ) : # 切出第一列 - row_ = arr_x - column_ = arr_y[:,i] + x_ = arr_x + y_ = arr_y[:,i] # 拟合 - p0 = [1,20] - para = leastsq( self.fitting_error, p0, args = ( row_, column_ ) ) - if not res.size : - res = para[0] - else: - res = np.vstack( (res, para[0]) ) - # 转置 返回,第一列为 k, 第二列为 ln(Lu0-) - print(" __ndarray_ln_leastsq_fitting ...... %s %s " % res.shape ) - print(res) - return res.T - + p0 = [1,20] # [k,b] + para = leastsq( self.fitting_error, p0, args = ( x_, y_ ) ) + k.append( para[0][0] ) + b.append( para[0][1] ) + return np.array(k), np.array(b) + # 需要拟合的函数 fitting_func def fitting_func( self, p, x ): k,b=p @@ -655,561 +538,202 @@ class Profiler(object): # 拟合的残差函数 def fitting_error(self,p,x,y): return self.fitting_func(p,x)-y - - - def dealMultiGroup(self, group_num:int ): - log.info(f"group_num: {group_num}", __name__, "dealMultiGroup") - # 分组进行处理 - for i in range(group_num): - self.current_group_num = i - # 重设当前测量时间 ,measurement_interval 间隔为s - self.real_time = self.get_current_time_by_i_interval( i,self.measurement_interval) - log.warning(f" real time -> {self.real_time}") - self.res = {} - tmp_before_avg = [] - for j in range( self.measurement_repeat ): - tmp_before_avg.append( self.intensity_before_avg[j+i*self.measurement_repeat] ) - pass - self.getAvg(tmp_before_avg) - self.__do_sensor_dict_interpo() - - # 选择追加保存， 一个Lsky 可能多组文件，只能单独保存为 Lsky Esky ..Rs - # self.appendSave() - self.getLwRs() - self.checkAndSaveData( ) - path_info_txt = self.output_path.joinpath( "info.txt" ) - self.save_dict_to_file( self.info_dict, path_info_txt ) - - def get_current_time_by_i_interval(self, i, interval): - self.my_time.setCurrentTimeStr(self.current_measure_time) - self.my_time.timeDelta(seconds=i*interval) - return self.my_time.cur_time_str + def save(self, pth:Path, mode=0): + ''' 保存在原文件所在目录 ''' + log.info( " >> save ", __class__, "save" ) + log.debug( f"Lw: {self.Lw}" ) + # pth = self.data.currentPath + + fname = "20"+self.data.info_frame.year+"_"+self.data.info_frame.month+"_" \ + +self.data.info_frame.day+"_"+self.data.info_frame.hour+"_" \ + +self.data.info_frame.minute+"_"+self.data.info_frame.second \ + +".csv" + save_fpath = pth.joinpath(fname) + ret = "" + ret = ret + str(self.deviceid)+"_"+pth.parts[-1] + TOKEN + self.list2str(list(self.newWavelength)) + ret = ret + NEWLINE + "Kd" + TOKEN + self.list2str( list(self.Kd) ) + ret = ret + NEWLINE + "Ed0" + TOKEN + self.list2str( list(self.Ed0) ) + ret = ret + NEWLINE + "ku" + TOKEN + self.list2str( list(self.Ku) ) + ret = ret + NEWLINE + "Lu0" + TOKEN + self.list2str( list(self.Lu0) ) + ret = ret + NEWLINE + "Lw" + TOKEN + self.list2str( list(self.Lw) ) + ret = ret + NEWLINE + "Rs" + TOKEN + self.list2str( list(self.Rs) ) + save_fpath.write_text( ret ) pass - def dealOneGroup(self, ): - # 分组，并获得平均值， 255个未插值结果 (依据 measurement_interval measurement_repeat) - self.getAvg( self.intensity_before_avg ) - - # 插值 - self.real_wavelength = self.getWavelenthDict() - self.__do_sensor_dict_interpo() - - self.ymdhms = "20"+ str(self.info_dict['year']) + '_' \ - + str(self.info_dict['month']) + '_' \ - + str(self.info_dict['day']) + '_' \ - + str(self.info_dict['hour']) + '_' \ - + str(self.info_dict['minute']) + '_' \ - + str(self.info_dict['second']) + def list2str( self, lst:list, token=";" ): + ''' 保存在原文件所在目录 ''' + ret = "" + for i in range(len(lst)): + if i == 0: + ret = ret + str(lst[i]) + else: + ret = ret + TOKEN + str(lst[i]) + return ret + pass - self.output_path = self.output_path.joinpath( self.ymdhms ) - self.appendSave() - - def dealOneMeasurement(self, fpath:Path): - '''handheld一次测量包含多组数据''' - # 调用handheldbuf 处理，将一组数据提交出来 - log.info(f"dealOneMeasurement: 一组测量数据", __name__, "dealOneMeasurement") - if len(self.filelist)<1: - pass - - # 当前文件名 - self.output_path = OUTPUT_DIR - self.current_filepath = fpath - self.current_measure_time = self.hhp.getCurrentMeasureTimeFromPath(fpath) - self.ymdhms = "20"+ str(self.info_dict['year']) + '_' \ - + str(self.info_dict['month']) + '_' \ - + str(self.info_dict['day']) + '_' \ - + str(self.info_dict['hour']) + '_' \ - + str(self.info_dict['minute']) + '_' \ - + str(self.info_dict['second']) - self.output_path = self.output_path.joinpath( self.ymdhms ) - log.warning(f"current_measure_time: {self.current_measure_time}", __name__, "dealOneHandheldMeasurement") - - self.hhb.readFile2Buf(fpath) - self.decode_sensor_buf() - self.real_wavelength = self.getWavelenthDict() - self.dealOneGroup() - - def dealOneMeasurement_Online(self, ): - '''handheld一次测量包含多组数据''' - # 调用handheldbuf 处理，将一组数据提交出来 - log.info(f"dealOneMeasurement_Online: 一组测量数据", __name__, "dealOneMeasurement_Online") - - # 当前文件名 - self.output_path = self.new_folder - # self.current_measure_time = self.hhp.getCurrentMeasureTimeFromPath(fpath) - self.ymdhms = self.getTimeFnameFromInfoDict() - - # getBuf - self.get_sensor_buf() - self.decode_sensor_buf() - self.real_wavelength = self.getWavelenthDict() - - self.getAvg( self.intensity_before_avg ) - self.real_wavelength = self.getWavelenthDict() - self.__do_sensor_dict_interpo() - - self.saveOnefileForLskyEskyLwaterLwRS() - - def get_sensor_buf(self,) : - buf = b"" - self.mydir.setBaseDir(self.new_folder) - my_bin_list = self.mydir.get_files_from_currentdir("*.bin") - my_bin_list = self.mydir.sort_filepath_and_check(my_bin_list) - for mbl in my_bin_list: - buf = buf + self.read_bin(mbl) - self.hhb.write_buf(buf) + def registet_func(self, func:Callable): + self.afterdeal.append(func) pass - def get_ymdhms(self, ): - self.ymdhms = "20"+ f"{self.info_dict['year']:02d}" + '_' \ - + f"{self.info_dict['month']:02d}" + '_' \ - + f"{self.info_dict['day']:02d}" + '_' \ - + f"{self.info_dict['hour']:02d}" + '_' \ - + f"{self.info_dict['minute']:02d}" + '_' \ - + f"{self.info_dict['second']:02d}" - - def getTimeFnameFromInfoDict(self,) : - ymdhms = "20"+ str(self.info_dict['year']) + '_' \ - + str(self.info_dict['month']) + '_' \ - + str(self.info_dict['day']) + '_' \ - + str(self.info_dict['hour']) + '_' \ - + str(self.info_dict['minute']) + '_' \ - + str(self.info_dict['second']) - return ymdhms - - def decode_sensor_buf_profiler(self,) : - # 处理Buf，对多组数据取平均, - self.intensity_before_avg = [] - # res_before_avg = [] - self.clearRes() # 清空数据 - while True: - if not self.hhb.decode_one_group_handheld() : - break # 清空数据 - - res = {} - ip_buf = self.hhb.one_group_data[:26] - buf = self.hhb.one_group_data[26:] - for i in range(1,4,1): - temp_buf = buf[7:71] + buf[79:143] + \ - buf[151:215] + buf[223:287] + \ - buf[295:359] + buf[367:431] + \ - buf[439:503] + buf[511:575] - - # Ramses类 标定处理，设置buf 标定文件 - self.ramses.setBuf(temp_buf) - func = self.getFuncBySeq(i) - cfg = self.getCfgByFunc( func) - if i == 1 or i==3: # 两个空气中一个水中注意序号 - self.ramses.setMode(1) # 水中？？？ 另外一个是空气中的 - if i == 1: # 获得深度倾斜 - # self.decode_ip_buf( ip_buf, cfg ) - x_y_depth_m = self.ramses.decode_ip_buf( ip_buf, cfg) - self.depth_tilt_x_y.append(x_y_depth_m) - self.ramses.setCalCfg(cfg) - self.ramses.resetItSpectrum() - self.ramses.ConvertAndCalibrate() - res.update({ func : self.ramses.spectrum }) - - # 处理 深度倾斜 数据 - # depth_m_x_y = self.ramses.decode_ip_buf( ip_buf, cfg) - # self.decode_ip_buf(ip_buf) - - self.intensity_before_avg.append( res ) - pass - - def decode_sensor_buf(self,) : - # 处理Buf，对多组数据取平均 - self.intensity_before_avg = [] - # res_before_avg = [] - self.clearRes() # 清空数据 - while True: - if not self.hhb.decode_one_group_handheld() : - break # 清空数据 - - res = {} - buf = self.hhb.one_group_data[26:] - for i in range(1,4,1): - temp_buf = buf[7:71] + buf[79:143] + \ - buf[151:215] + buf[223:287] + \ - buf[295:359] + buf[367:431] + \ - buf[439:503] + buf[511:575] - - # Ramses类 标定处理，设置buf 标定文件 - self.ramses.setBuf(temp_buf) - func = self.getFuncBySeq(i) - cfg = self.getCfgByFunc( func) - self.ramses.setCalCfg(cfg) - self.ramses.resetItSpectrum() - self.ramses.ConvertAndCalibrate() - res.update({ func : self.ramses.spectrum }) - self.intensity_before_avg.append( res ) - pass - - def decode_ip_buf( self, buf, ip_cal) : - '''Ed校正文件去处理数据''' - res = self.ramses.decode_ip_buf(buf,ip_cal) - self.depth_tilt_x_y.append(res) - pass - - def getAvg( self, d:list) : - log.info(f"getAvg: 平均多组数据", __name__, "getAvg") - data = d - ret = {} - len_result = len(data) - if len_result == 0: - self.intensity_after_avg ={} - return None - if len_result == 1: - self.intensity_after_avg = data[0] - return None - ret = data[0] - - res_dict = self.getRetDict() - - for k in res_dict.keys(): - for i in range(1,len_result,1): - data[0][k] = data[0][k] + data[i][k] - ret = data[0][k]/len_result - self.intensity_after_avg.update( { k : ret } ) - log.debug(f"getAvg: {self.intensity_after_avg}", __name__, "getAvg") - pass - - def getRetDict(self,) : - ret_dict = { } - ret_dict.update( {self.device_enum(1).name:np.array([])} ) - ret_dict.update( {self.device_enum(2).name:np.array([])} ) - ret_dict.update( {self.device_enum(3).name:np.array([])} ) - # self.one_group_result = ret_dict - return ret_dict - - def __do_sensor_dict_interpo(self,) : - log.info( f"同步处理多个个插值 ", __name__, "__do_sensor_dict_interpo" ) - self.clearRes() - for k in self.intensity_after_avg.keys(): - tmp = np.interp( self.wavelength, self.real_wavelength[k], self.intensity_after_avg[k] ) - self.res.update( { k : tmp } ) - - def getCfgByDid(self, func:str) : - cfg_id:dict = self.cfg.get(int(self.device_id)) - cfg_sensor = cfg_id.get( func) - return cfg_sensor + def execute_func(self, ): + for f in self.afterdeal: + f() pass - - def getFuncBySeq(self, seq:int) : - func = "" - if self.device_type == DeviceType.AWRAMS.name: - func = RamsesAWRAMS(seq).name - if self.device_type == DeviceType.SURFACE.name: - func = RamsesAWRAMS(seq).name - if self.device_type == DeviceType.PROFILE.name: - func = RamsesAWRAMS(seq).name - return func - def getCfgByFunc(self, func:str) : - cfg_id:dict = self.syscfg.get(int(self.device_id)) - cfg_sensor = cfg_id.get( func) - return cfg_sensor +class ProfilerHandle(object): + def __init__(self, deviceid=2, cfg=None, calcfg=None, rtv=None): + self.sensor_cfg = cfg + self.calcfg = calcfg + self.retrieve = rtv + + self.device_id = deviceid + self.profiler = Profiler( deviceid=self.device_id ) + self.profiler.set_cfg_calibration( self.calcfg ) + self.profiler.set_retrieve( self.retrieve) + self.profiler.config_awrams( self.sensor_cfg ) + + self.afterdeal = [] pass - def getCfgBySeq(self, seq:int) : - func = "" - if self.device_type == DeviceType.AWRAMS.name: - func = RamsesAWRAMS(seq).name - if self.device_type == DeviceType.SURFACE.name: - func = RamsesAWRAMS(seq).name - if self.device_type == DeviceType.PROFILE.name: - func = RamsesAWRAMS(seq).name - cfg_id:dict = self.syscfg.get(int(self.device_id)) - cfg_sensor = cfg_id.get( func) - return cfg_sensor + def set_ramses_number( self, numbers:int =3 ): + self.profiler.set_ramses_sensor_numbers(numbers) + + def set_tilt_range( self, tilt_angle:float =7.0 ): + self.profiler.set_tilt_range(tilt_angle) + + def read_info_path(self,infopath: Path ): + assert infopath.exists(), f">>>> not find {fpath} " + ret_bytes = b'' + with open(infopath, 'rb') as file: + ret_bytes = file.read() + self.profiler.data.set_info_frame( ret_bytes ) + + def read_sensor_path(self, sensorpath:Path): + assert sensorpath.exists(), f">>>> not find {fpath} " + with open(sensorpath, 'rb') as file: + ret_bytes = file.read() + assert len(ret_bytes) > 1754, f">>>> no data " + tmp_len = int(len(ret_bytes)/1754) + log.info( f" total len : {len(ret_bytes)} num: {tmp_len} ") + for i in range(tmp_len): + tmp_buf = ret_bytes[0+1754*i:1754+1754*i] + self.profiler.data.set_data_frame( tmp_buf, None, self.profiler.callback ) # tmp_buf包装成List pass - - def saveOnefileForLskyEskyLwaterLwRS(self, ) -> bool: - log.info(f" ", __name__, "saveOnefileForLskyEskyLwaterLwRS") - self.mydir.setBaseDir(self.output_path) #基路径 - - time_name = self.getTimeFnameFromInfoDict() - Lw = self.res["Lwater"] - ROWFACTOR * self.res["Lsky"] - self.res.update({ self.device_enum(4).name : Lw }) - Rs = self.res[self.device_enum(4).name] / self.res["Esky"] - self.res.update({ self.device_enum(5).name : Rs }) - - self.mydir.setHeader( self.wavelength.tolist(), TOKEN, "device_id_"+str(self.device_id) ) - header = self.mydir.header_str - - save_path_csv = self.new_folder.joinpath(time_name + SAVE_EXT_NAME) - data_str = "" - for k in self.res.keys(): - self.mydir.setContent(self.res[k].tolist(),TOKEN,k ) - data_str = data_str + NEWLINE + self.mydir.content_str - save_path_csv.write_text(header+data_str) - - path_info_txt = self.new_folder.joinpath( time_name + "_info.txt" ) - self.save_dict_to_file( self.info_dict, path_info_txt ) - - def appendSave(self, ) -> bool: - '''self.output_path''' - self.checkAndSaveData( ) - self.getLwRsAndSave() - path_info_txt = self.output_path.joinpath( "info.txt" ) - self.save_dict_to_file( self.info_dict, path_info_txt ) - - def checkAndSaveData(self, ) -> bool: - """ - check self.Lsky Esky Lwater and Save - 处理self.res 的数据 - """ - log.info(f"checkAndSaveData: {self.output_path.parts}", __name__) - self.mydir.setBaseDir(self.output_path) #基路径 - self.mydir.setHeader( self.wavelength.tolist(), TOKEN, "device_id_"+str(self.device_id) ) - # print(f"header_str : {self.mydir.header_str[-1:]}") - - if self.current_group_num == 0: - self.newFileByFunc( self.device_enum(1).name ) - self.newFileByFunc( self.device_enum(2).name ) - self.newFileByFunc( self.device_enum(3).name ) - self.newFileByFunc( self.device_enum(4).name ) - self.newFileByFunc( self.device_enum(5).name ) - pass - - self.appendFileByFunc( self.device_enum(1).name ) - self.appendFileByFunc( self.device_enum(2).name ) - self.appendFileByFunc( self.device_enum(3).name ) - self.appendFileByFunc( self.device_enum(4).name ) - self.appendFileByFunc( self.device_enum(5).name ) - - def newFileByFunc(self, func:str) -> None: - self.mydir.newFileIfNot( func+SAVE_EXT_NAME) - if self.mydir.checkHeader() == -1: - log.error(f"请备份文件:{self.mydir.current_filepath.parent} {self.mydir.current_filepath.name}, 并删除文件后再试!", __name__) - raise MyException( f"请备份文件:{self.mydir.current_filepath.parent} {self.mydir.current_filepath.name}, 并删除文件后再试!" ) - return False - if self.mydir.checkHeader() == 1: - pass - if self.mydir.checkHeader() == 0: - self.mydir.writeHeader() - pass - - # 写入数据content - log.warning(f" write content time {self.real_time}") - self.mydir.setContent(self.res[func].tolist(), TOKEN, self.real_time) - self.mydir.writeContent() - - def appendFileByFunc(self, func:str) -> None: - # 追加写入数据content - self.mydir.setContent(self.res[func].tolist(), TOKEN, self.real_time) - self.mydir.writeContent() - - def clearRes(self, ) -> None: - self.res = { } - - def getLwRs(self, ) -> bool: - """ - 并计算Lw Rs并保存 - """ - Lw = self.res["Lwater"] - ROWFACTOR * self.res["Lsky"] - self.res.update({ self.device_enum(4).name : Lw }) - Rs = self.res["Lw"] / self.res["Esky"] - self.res.update({ self.device_enum(5).name : Rs }) - - return True - - def getLwRsAndSave(self, ) -> bool: - """ - 并计算Lw Rs并保存 - """ - Lw = self.res["Lwater"] - ROWFACTOR * self.res["Lsky"] - self.res.update({ "Lw" : Lw }) - Rs = self.res["Lw"] / self.res["Esky"] - self.res.update({ "Rs" : Rs }) - self.mydir.setBaseDir(self.output_path) #基路径 - # 保存 + def read_one_folder_awrams_online(self, pth:Path): + ''' self.data 传数据 info_frame, data_frame''' + log.info(f" 读一个文件夹进行处理 {pth}" ,__name__,"read_one_folder_awrams_online") + bytes_list = [] - if self.current_group_num == 0: - self.newFileByFunc( "Lw" ) - self.newFileByFunc( "Rs" ) - pass + bin_files = pth.glob('*.bin') + for bf in bin_files: + if bf.name != "info.bin": + bytes_list.append( self.read_bin(bf) ) - self.appendFileByFunc( "Lw" ) - self.appendFileByFunc( "Rs" ) - - return True - - def read_bin(self,fpath: Path): - log.debug(f" readbin: ", __name__, "", "" ) - ret = None - if not fpath.exists() : - log.info(f"not find file: {fpath} ") - return ret + self.profiler.data.set_data_frame( bytes_list, pth, self.aw.callback ) # 目录也要传过去 + pass + + def read_bin(self,fpath: Path): + assert fpath.exists(), f">>>> not find {fpath} " + ret = b'' with open(fpath, 'rb') as file: ret = file.read() - return ret - log.debug(f" readbin: {ret} ", __name__, "", "" ) return ret pass - def decode_info( self,info: bytes ) -> dict: - ret = {} - # 剖面型加了1311+24个字节共26个字节 - # 保留字节有所变化，改为序列号，每个序列号两个字节 - try: - temp = struct.unpack(" None: - temp_str = "" - for key, value in info_dict.items(): - temp_str = temp_str + key + " : " + str(value) + "\n" - with open(fpath, "w+") as f: - f.write(temp_str) - def save_error_to_file(self, errlist: list, fpath: Path) -> None: - temp_str = "" - if len(errlist) <1: - return None - for errdict in errlist: - temp_str = temp_str + errdict["path"] +" : "+ errdict["error"] + "\n" - pass - with open(fpath, "w+") as f: - f.write(temp_str) - return None +class ExternalFun(object): + def __init__(self, aw:Profiler=None): + pass + + @staticmethod + def get_par_400_700( aw:Profiler ): + par_400_700 = 0.0 + for i in range( 50, 350, 1 ): + par_400_700 = par_400_700 + aw.Esky + return par_400_700 pass - def getWavelenthDict( self, ) -> dict: - ret_dict = self.getRetDict() - cfg_id:dict = self.syscfg.get( int(self.device_id)) - for k in ret_dict.keys(): - tmp = self.getWavelength( cfg_id.get(k) ) - ret_dict.update({ k : tmp }) - return ret_dict - - def getWavelength(self,ramsesdict:dict) -> np.ndarray: - ret = [] - for i in range(1,256): - tmp = float(ramsesdict['c0s']) + float(ramsesdict['c1s'])*i \ - + float(ramsesdict['c2s'])*i*i + float(ramsesdict['c3s'])*i*i*i - ret.append(tmp) - pass - return np.array(ret) - - def setSyscfg(self, syscfg:dict): - self.syscfg = syscfg - - def setRetrieve(self, retrieve:dict): - log.debug( f"setRetrieve : {retrieve}......", __name__ ) - self.retrieve = retrieve - self.setNewWavelength() - # self.wavelength:np.ndarray = np.arange ( self.retrieve['beginWL'], self.retrieve['endWL'], self.retrieve['interval'] ) + @staticmethod + def get_par_350_950( aw:Profiler): + par_350_950 = 0.0 + for i in range( 0, 600, 1 ): + par_350_950 = par_350_950 + aw.Esky + return par_350_950 + pass + + @staticmethod + def get_chl( aw:Profiler ): + return 0.0 + pass + pass - def setNewWavelength(self, ): - self.wavelength:np.ndarray = np.arange ( - self.retrieve['beginWL'], self.retrieve['endWL'], self.retrieve['interval'] ) - - def setDeviceID(self, did:int): - self.device_id = did - def setDeviceType(self, device_type): - self.device_type = device_type - def getErrorInfoDict(self, ): - return self.error_result +class ProfilerCfg: + cfg= {1: {'FUNC': 'Ed', 'SN': '50ED'}, 2: {'FUNC': 'Esky', 'SN': '85C2'}, 3: {'FUNC': 'Lu', 'SN': '852F'}} + calcfg= {'Esky': {'SN': '85C2', 'FUNC': 'Esky', 'TYPE': 'SAM', 'samsn': '85C2', 'inifile': 'SAM_85C2.ini', 'calfile': 'Cal_SAM_85C2.dat', 'calaqfile': 'CalAQ_SAM_85C2.dat', 'backfile': 'Back_SAM_85C2.dat', 'cal': ['+NAN', '+NAN', '+NAN', '+NAN', '0.63607834406219', '0.718127096538326', '0.812216798598817', '0.914442457893824', '1.03343454996493', '1.15933885373154', '1.29479643420084', '1.43677001665361', '1.56848190839848', '1.67447970580786', '1.73889146263122', '1.73244260903254', '1.69192414835577', '1.61622082709111', '1.5270353751059', '1.46047364317447', '1.41296265347303', '1.39311700938614', '1.39852760194912', '1.42554260762195', 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'2.80380712732453', '2.72275302648293', '2.6373282860483', '2.55448424591999', '2.47778601018081', '2.40377038673745', '2.33484934711808', '2.2698793292122', '2.20651375086021', '2.14704740380438', '2.08988763493926', '2.0346458333411', '1.98224825426305', '1.93452491480363', '1.89146397238956', '1.8653548650058', '1.84879059497611', '1.8371693859594', '1.83197484046632', '1.83105981302589', '1.83169544364263', '1.83369029033973', '1.82985806236537', '1.81684973319988', '1.7961872241934', '1.76710061502081', '1.73459539138238', '1.70421983997876', '1.67561137148482', '1.65483955955664', '1.64005456402998', '1.63103006074007', '1.62646109446179', '1.62483351776729', '1.61794627041935', '1.60638099649103', '1.59160518167625', '1.57856502215575', '1.56723770329055', '1.55884357172436', '1.55081356970191', '1.5440909800073', '1.53473504989623', '1.52335047710565', '1.51140772671503', '1.49628095199023', '1.48082183121466', '1.4668009209167', '1.45300293604089', '1.43913779397284', 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'1.32173660739306', '1.33791597187085', '1.35239128956384', '1.36440760724462', '1.37762092569269', '1.39461338947335', '1.4169141265919', '1.44343724653861', '1.47409755299312', '1.50670023106802', '1.53949706626466', '1.57379985877493', '1.60506087092559', '1.63474977349559', '1.66262314886676', '1.6867112751644', '1.70497845407306', '1.71722612221823', '1.72015067971529', '1.71182391495322', '1.69060216043102', '1.65693636912006', '1.615276853664', '1.56885138733016', '1.51988696317221', '1.47238950135993', '1.42841545003656', '1.38597016134539', '1.34644570226061', '1.30918427370975', '1.272833651334', '1.23871854263795', '1.20592126590957', '1.17421842576069', '1.14414540628486', '1.11675959841052', '1.09205554594672', '1.07713100431408', '1.06771250877206', '1.06114445201819', '1.05828511190168', '1.05789551638809', '1.05839987869692', '1.05968794981088', '1.05760658826783', '1.05021868492741', '1.03840218029399', '1.02171038385539', '1.00303608270452', '0.985587384786529', 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'0.024518225986019', '0.0249431329577538', '0.024793957860264', '0.0246779200026361', '0.0246277942344484', '0.0245882612250266', '0.0245443142460891', '0.0244427728726199', '0.0245225095578749', '0.0246755827947801', '0.0244593372157869', '0.0246154502717679', '0.0255941653568822'], 'SAMSN': '852F', 'DarkPixelStart': '237', 'DarkPixelStop': '254', 'Firmware': '2.06', 'IDDataBack': 'DLAB_2016-11-29_14-47-59_729_812', 'IDDataCal': 'DLAB_2016-12-07_12-00-24_364_510', 'IDDataCalAQ': 'DLAB_2016-12-07_12-02-43_591_545', 'IntegrationTime': '0', 'Reverse': '0', 'SerialNo_MMS': '103307', 'WavelengthRange': '310..1100', 'c0s': '299.895', 'c1s': '3.31161', 'c2s': '0.00031652', 'c3s': '-1.73194e-06', 'c4s': '+0.000000000E+00', 'cs': '102842'}} + rtv = {"beginWL":350, "endWL":950,"interval":1, "n_t_square":0.543} - def printResult(self,): - log.info( f"***** : Print Lsky Esky Lwater Lw Rs......", __name__ ) - print(self.res[self.device_enum(1)]) - print(self.res[self.device_enum(2)]) - print(self.res[self.device_enum(3)]) - print(self.res[self.device_enum(4)]) - print(self.res[self.device_enum(5)]) - pass - def printTest(self,d,sleep_time:int=5): - log.info( f"***** : I am testing ********", __name__ ) - print(d) - log.info( f"***** : Ending testing ********", __name__ ) - time.sleep(sleep_time) - pass +def profiler_demo(): + device_id = 2 + ph = ProfilerHandle( device_id, ProfilerCfg.cfg, ProfilerCfg.calcfg, ProfilerCfg.rtv) + fpath = Path.cwd() + infopath = fpath.joinpath('data','2','37','info.bin') + sensorpath = fpath.joinpath('data','2','37','sensor.bin') + savedir = fpath.joinpath('data','2','37' ) + + ph.set_ramses_number(3) # 设置传感器数量 + ph.set_tilt_range(21.0) # 设置倾斜范围 + + ph.read_info_path(infopath) + ph.profiler.reset_profiler() + ph.profiler.data.set_wavelength( ) # 设置波长 + ph.profiler.get_depth_offset() + ph.read_sensor_path(sensorpath) + ph.profiler.get_Ed0_kd() + ph.profiler.get_Lu0_Ku() + ph.profiler.get_Lw_Rs(ph.retrieve["n_t_square"]) + ph.profiler.save(savedir) -if __name__ == "__main__": - # hh = HandHeld() - # hh.getDataFileList() - # hh.dealAllMeasurements() - # data/2023_02/07/sensor/14_02_46 - # hhb= HandHeldBuf() - # hhb.readFile2Buf("data/2023_02/07/sensor/14_02_46") - # hhb.decode_handheld() - # print(hh.error_result) - # print("======") - # print(hh.filelist) +if __name__ == '__main__': - # print( hh.getDataFname() ) + # my_init() + device_id = 2 + ph = ProfilerHandle( device_id, ProfilerCfg.cfg, ProfilerCfg.calcfg, ProfilerCfg.rtv) + fpath = Path.cwd() + # t= ("data", "2","2002","8", "17","51", "info.bin") + # t= ("data" ) + infopath = fpath.joinpath('data','2','37','info.bin') + sensorpath = fpath.joinpath('data','2','37','sensor.bin') + savedir = fpath.joinpath('data','2','37' ) - # t = b'\x07' - # print( int(t[0])) - # print( 2 << int(t[0])) + ph.set_ramses_number(3) + ph.set_tilt_range(21.0) + ph.read_info_path(infopath) + ph.profiler.reset_profiler() + ph.profiler.data.set_wavelength( ) # 设置波长 + ph.profiler.get_depth_offset() + ph.read_sensor_path(sensorpath) + + # log.info( f" Ed: {ph.profiler.Ed} ") + # log.info( f" Lu: {ph.profiler.Lu} ") + ph.profiler.get_Ed0_kd() + ph.profiler.get_Lu0_Ku() + # log.info( f" Ed0: {ph.profiler.Ed0} ") + # log.info( f" Lu0: {ph.profiler.Lu0} ") + ph.profiler.get_Lw_Rs(ph.retrieve["n_t_square"]) + # log.info( f" Lw: {ph.profiler.Lw} ") + # log.info( f" Rs: {ph.profiler.Rs} ") + ph.profiler.save(savedir) + + + - pass diff --git a/receive.py b/receive.py index 1750e9f..a71b13f 100644 --- a/receive.py +++ b/receive.py @@ -18,8 +18,8 @@ from tools.mypath import MyDir from tools.mylogger import log from pathlib import Path,PurePath from myconfig import DATA_DIR,DeviceType -from profiler import Profiler - +from profiler import Profiler,ProfilerHandle +# from myRamses import RamsesFactoryHandle,AirWater IP = "" PORT = 7887 @@ -42,8 +42,9 @@ conn_pool = [] # save_path = Path class MyTCPServer(TCPServer): - def __init__(self, server_address, RequestHandlerClass, bind_and_activate=True, cfg=None, retrieve=None): + def __init__(self, server_address, RequestHandlerClass, bind_and_activate=True, cfg=None, calcfg=None, retrieve=None): self.cfg = cfg + self.calcfg = calcfg self.retrieve = retrieve TCPServer.__init__(self, server_address, RequestHandlerClass, bind_and_activate=True ) @@ -185,33 +186,62 @@ class DealData: def __init__(self) -> None: self.device_id = None - self.devie_type = DeviceType.SURFACE.name + self.devie_type = DeviceType.PROFILE.name self.measure_id = None self.cfg = {} - self.profiler = None + self.calcfg = {} + self.profiler_hdl = None pass - def deal(self, id: int, con: int, cfg:dict , retrieve) -> None: # 取字典中的 payload + def deal(self, id: int, con: int, calcfg:dict , retrieve) -> None: # 取字典中的 payload log.info(f" 接收到数据开始处理数据 device_id {id} ") self.device_id = id self.measure_id = con if self.device_id is None: self.device_id = id if self.cfg == {}: - self.cfg = cfg + self.cfg = calcfg + if self.calcfg == {}: + self.calcfg = calcfg # self.cfg = cfg.get(self.device_id) - if self.profiler is None: - self.profiler = Profiler() ##处理数据 - self.profiler.setSyscfg(self.cfg) - self.profiler.setRetrieve(retrieve) - self.profiler.setDeviceID(self.device_id) - self.profiler.setMeasureID(self.measure_id) - path_tuple = ( "data", str(id), str(con) ) - self.profiler.setOldFolder( path_tuple ) - self.profiler.getInfoDict( ) - self.profiler.transferFromOldFolder() - self.profiler.deleteOldFolder() - self.profiler.dealOneMeasurement_Profiler(self.profiler.new_folder) + if self.profiler_hdl is None: + self.profiler_hdl = ProfilerHandle( self.device_id, self.cfg, self.calcfg, retrieve) ##处理数据 + + fpath = Path.cwd() + infopath = fpath.joinpath( 'data',self.device_id,self.measure_id,'info.bin') + sensorpath = fpath.joinpath( 'data',self.device_id,self.measure_id,'sensor.bin') + + savedir = fpath.joinpath('data',self.device_id,self.measure_id ) + + self.profiler_hdl.set_ramses_number(3) + self.profiler_hdl.set_tilt_range(21.0) + + self.profiler_hdl.read_info_path(infopath) + self.profiler_hdl.profiler.reset_profiler() + self.profiler_hdl.profiler.data.set_wavelength( ) # 设置波长 + self.profiler_hdl.profiler.get_depth_offset() + self.profiler_hdl.read_sensor_path(sensorpath) + + self.profiler_hdl.profiler.get_Ed0_kd() + self.profiler_hdl.profiler.get_Lu0_Ku() + self.profiler_hdl.profiler.get_Lw_Rs(self.profiler_hdl.retrieve["n_t_square"]) + self.profiler_hdl.profiler.save(savedir) + + + # self.profiler_hdl.read_info_path(infopath) + # self.profiler_hdl.read_sensor_path(sensorpath) + # self.profiler_hdl.profiler.process_profiler() + # self.profiler.setSyscfg(self.cfg) + # self.profiler.setRetrieve(retrieve) + # self.profiler.setDeviceID(self.device_id) + # self.profiler.setMeasureID(self.measure_id) + + # path_tuple = ( "data", str(id), str(con) ) + # self.profiler.setOldFolder( path_tuple ) + # self.profiler.getInfoDict( ) + # self.profiler.transferFromOldFolder() + # self.profiler.deleteOldFolder() + # self.profiler.dealOneMeasurement_Profiler(self.profiler.new_folder) log.info(f" Complete Dealing one group.") # self.profiler.readOneFolder( ) @@ -223,20 +253,22 @@ class DealData: log.warning(f"not find file: {fpath} ") return ret ret = fpath.read_bytes() - # with open( fpath, 'rb') as file: - # ret = file.read() - # return ret return ret pass @staticmethod def decode_info(info: bytes) -> dict: + '''info 分为两部分 : 传感器部分， 深度 倾斜部分 ''' ret = {} try: - temp = struct.unpack( " None: log.debug(f"retrieve {self.server.retrieve}",__name__, "", "" ) self.cfg =self.server.cfg + self.calcfg =self.server.calcfg self.retrieve =self.server.retrieve self.sk: socket.socket = self.request self.sensor = illumination_sensor(self.request) @@ -436,7 +483,7 @@ class MyServer(socketserver.BaseRequestHandler): if data_["packet_con"] == data_["packet_all"]: log.info(f'最后一帧数据已经收到并保存') # id 为传感器测量id ,con 测量序号 - self.dealData.deal(data_['id'], data_["con"], self.cfg, self.retrieve) + self.dealData.deal(data_['id'], data_["con"], self.cfg,self.calcfg, self.retrieve) pass if time.time() - self.begin_time > TIMEOUT_SECOND: diff --git a/retrieve.yml b/retrieve.yml index ba0f0ee..3b90f5c 100644 --- a/retrieve.yml +++ b/retrieve.yml @@ -2,3 +2,4 @@ beginWL: 350 endWL: 950 interval: 1 rowFactor: 0.026 +n_t_square: 0.543 diff --git a/tcp_profiler.py b/tcp_profiler.py index 1919bfd..16d6231 100644 --- a/tcp_profiler.py +++ b/tcp_profiler.py @@ -18,7 +18,7 @@ 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\ @@ -138,6 +138,104 @@ class MyBuf: 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__() @@ -181,7 +279,6 @@ class TcpProfiler(object): except KeyboardInterrupt as e: print(f" == ctrl +c , exit") - def send_info(self,): buf = bytes.fromhex (INFO_HEADER+ DataContent.info_frame) self.flag = False @@ -189,7 +286,6 @@ class TcpProfiler(object): 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]) @@ -205,30 +301,73 @@ class TcpProfiler(object): # 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) ) - tp = TcpProfiler() - tp.connect() + th = TcpProfiler() + th.connect() - try : - while True: - tp.send_info() + send_num = 10; - tp.send_data() + try : + th.send_info() + print("send info frame...") + time.sleep( 10) + except KeyboardInterrupt as e: + print(e) - tp.send_end_frame() + try : + th.send_data() + print("send sensor frame...") + time.sleep( 10) + except KeyboardInterrupt as e: + print(e) - time.sleep( 10) + try : + th.send_end_frame() + print("send end frame...") + time.sleep( 10) except KeyboardInterrupt as e: print(e) - tp.disconnect( ) + th.disconnect( ) + + # with open("info.bin","rb") as f: + # d = f.read() + # print(d.hex()) + +''' +131123600020000000524844557691e700cb054c054a05a10001 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 +1707070c161800000000000000000000000000000000000000000000000000000000000000000000000000000000000000e0c000808e41778cf83df450f450f4500000000000000000000000000000131123600020000000524844557691e700cb054c054a05a10001 +''' \ No newline at end of file