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@@ -0,0 +1,87 | |||
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1 | import numpy | |
|
2 | import sys | |
|
3 | import zmq | |
|
4 | import time | |
|
5 | import h5py | |
|
6 | import os | |
|
7 | ||
|
8 | path="/home/alex/Downloads/pedestal" | |
|
9 | ext=".hdf5" | |
|
10 | ||
|
11 | port ="5556" | |
|
12 | if len(sys.argv)>1: | |
|
13 | port = sys.argv[1] | |
|
14 | int(port) | |
|
15 | ||
|
16 | if len(sys.argv)>2: | |
|
17 | port1 = sys.argv[2] | |
|
18 | int(port1) | |
|
19 | ||
|
20 | #Socket to talk to server | |
|
21 | context = zmq.Context() | |
|
22 | socket = context.socket(zmq.SUB) | |
|
23 | ||
|
24 | print("Collecting updates from weather server...") | |
|
25 | socket.connect("tcp://localhost:%s"%port) | |
|
26 | ||
|
27 | if len(sys.argv)>2: | |
|
28 | socket.connect("tcp://localhost:%s"%port1) | |
|
29 | ||
|
30 | #Subscribe to zipcode, default is NYC,10001 | |
|
31 | topicfilter = "10001" | |
|
32 | socket.setsockopt_string(zmq.SUBSCRIBE,topicfilter) | |
|
33 | #Process 5 updates | |
|
34 | total_value=0 | |
|
35 | count= -1 | |
|
36 | azi= [] | |
|
37 | elev=[] | |
|
38 | time0=[] | |
|
39 | #for update_nbr in range(250): | |
|
40 | while(True): | |
|
41 | string= socket.recv() | |
|
42 | topic,ang_elev,ang_elev_dec,ang_azi,ang_azi_dec,seconds,seconds_dec= string.split() | |
|
43 | ang_azi =float(ang_azi)+1e-3*float(ang_azi_dec) | |
|
44 | ang_elev =float(ang_elev)+1e-3*float(ang_elev_dec) | |
|
45 | seconds =float(seconds) +1e-6*float(seconds_dec) | |
|
46 | azi.append(ang_azi) | |
|
47 | elev.append(ang_elev) | |
|
48 | time0.append(seconds) | |
|
49 | count +=1 | |
|
50 | if count == 100: | |
|
51 | timetuple=time.localtime() | |
|
52 | epoc = time.mktime(timetuple) | |
|
53 | #print(epoc) | |
|
54 | fullpath = path + ("/" if path[-1]!="/" else "") | |
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55 | ||
|
56 | if not os.path.exists(fullpath): | |
|
57 | os.mkdir(fullpath) | |
|
58 | ||
|
59 | azi_array = numpy.array(azi) | |
|
60 | elev_array = numpy.array(elev) | |
|
61 | time0_array= numpy.array(time0) | |
|
62 | pedestal_array=numpy.array([azi,elev,time0]) | |
|
63 | count=0 | |
|
64 | azi= [] | |
|
65 | elev=[] | |
|
66 | time0=[] | |
|
67 | #print(pedestal_array[0]) | |
|
68 | #print(pedestal_array[1]) | |
|
69 | ||
|
70 | meta='PE' | |
|
71 | filex="%s%4.4d%3.3d%10.4d%s"%(meta,timetuple.tm_year,timetuple.tm_yday,epoc,ext) | |
|
72 | filename = os.path.join(fullpath,filex) | |
|
73 | fp = h5py.File(filename,'w') | |
|
74 | #print("Escribiendo HDF5...",epoc) | |
|
75 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· DataΒ·....Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
76 | grp = fp.create_group("Data") | |
|
77 | dset = grp.create_dataset("azimuth" , data=pedestal_array[0]) | |
|
78 | dset = grp.create_dataset("elevacion", data=pedestal_array[1]) | |
|
79 | dset = grp.create_dataset("utc" , data=pedestal_array[2]) | |
|
80 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· MetadataΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
81 | grp = fp.create_group("Metadata") | |
|
82 | dset = grp.create_dataset("utctimeInit", data=pedestal_array[2][0]) | |
|
83 | timeInterval = pedestal_array[2][1]-pedestal_array[2][0] | |
|
84 | dset = grp.create_dataset("timeInterval", data=timeInterval) | |
|
85 | fp.close() | |
|
86 | ||
|
87 | #print ("Average messagedata value for topic '%s' was %dF" % ( topicfilter,total_value / update_nbr)) |
@@ -0,0 +1,48 | |||
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1 | ########################################################################### | |
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2 | ############################### SERVIDOR################################### | |
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3 | ######################### SIMULADOR DE PEDESTAL############################ | |
|
4 | ########################################################################### | |
|
5 | import time | |
|
6 | import math | |
|
7 | import numpy | |
|
8 | import struct | |
|
9 | from time import sleep | |
|
10 | import zmq | |
|
11 | import pickle | |
|
12 | port="5556" | |
|
13 | context = zmq.Context() | |
|
14 | socket = context.socket(zmq.PUB) | |
|
15 | socket.bind("tcp://*:%s"%port) | |
|
16 | ###### PARAMETROS DE ENTRADA################################ | |
|
17 | print("PEDESTAL RESOLUCION 0.01") | |
|
18 | print("MAXIMA VELOCIDAD DEL PEDESTAL") | |
|
19 | ang_elev = 4.12 | |
|
20 | ang_azi = 30 | |
|
21 | velocidad= input ("Ingresa velocidad:") | |
|
22 | velocidad= float(velocidad) | |
|
23 | print (velocidad) | |
|
24 | ############################################################ | |
|
25 | sleep(3) | |
|
26 | print("Start program") | |
|
27 | t1 = time.time() | |
|
28 | count=0 | |
|
29 | while(True): | |
|
30 | tmp_vuelta = int(360/velocidad) | |
|
31 | t1=t1+tmp_vuelta*count | |
|
32 | count= count+1 | |
|
33 | muestras_seg = 100 | |
|
34 | t2 = time.time() | |
|
35 | for i in range(tmp_vuelta): | |
|
36 | for j in range(muestras_seg): | |
|
37 | tmp_variable = (i+j/100.0) | |
|
38 | ang_azi = (tmp_variable)*float(velocidad) | |
|
39 | seconds = t1+ tmp_variable | |
|
40 | topic=10001 | |
|
41 | print ("AzimΒ°: ","%.4f"%ang_azi,"Time:" ,"%.5f"%seconds) | |
|
42 | seconds_dec=(seconds-int(seconds))*1e6 | |
|
43 | ang_azi_dec= (ang_azi-int(ang_azi))*1e3 | |
|
44 | ang_elev_dec=(ang_elev-int(ang_elev))*1e3 | |
|
45 | sleep(0.0088) | |
|
46 | socket.send_string("%d %d %d %d %d %d %d"%(topic,ang_elev,ang_elev_dec,ang_azi,ang_azi_dec,seconds,seconds_dec)) | |
|
47 | t3 = time.time() | |
|
48 | print ("Total time for 1 vuelta in Seconds",t3-t2) |
@@ -0,0 +1,82 | |||
|
1 | import os, sys | |
|
2 | import datetime | |
|
3 | import time | |
|
4 | from schainpy.controller import Project | |
|
5 | ||
|
6 | desc = "USRP_test" | |
|
7 | filename = "USRP_processing.xml" | |
|
8 | controllerObj = Project() | |
|
9 | controllerObj.setup(id = '191', name='Test_USRP', description=desc) | |
|
10 | ||
|
11 | ############## USED TO PLOT IQ VOLTAGE, POWER AND SPECTRA ############# | |
|
12 | ######PATH DE LECTURA, ESCRITURA, GRAFICOS Y ENVIO WEB################# | |
|
13 | path = '/home/alex/Downloads/test_rawdata' | |
|
14 | figpath = '/home/alex/Downloads/hdf5_test' | |
|
15 | ######################## UNIDAD DE LECTURA############################# | |
|
16 | ''' | |
|
17 | readUnitConfObj = controllerObj.addReadUnit(datatype='VoltageReader', | |
|
18 | path=path, | |
|
19 | startDate="2020/01/01", #"2020/01/01",#today, | |
|
20 | endDate= "2020/12/01", #"2020/12/30",#today, | |
|
21 | startTime='00:00:00', | |
|
22 | endTime='23:59:59', | |
|
23 | delay=0, | |
|
24 | #set=0, | |
|
25 | online=0, | |
|
26 | walk=1) | |
|
27 | ||
|
28 | ''' | |
|
29 | readUnitConfObj = controllerObj.addReadUnit(datatype='SimulatorReader', | |
|
30 | frequency=9.345e9, | |
|
31 | FixRCP_IPP= 60, | |
|
32 | Tau_0 = 30, | |
|
33 | AcqH0_0=0, | |
|
34 | samples=330, | |
|
35 | AcqDH_0=0.15, | |
|
36 | FixRCP_TXA=0.15, | |
|
37 | FixRCP_TXB=0.15, | |
|
38 | Fdoppler=600.0, | |
|
39 | Hdoppler=36, | |
|
40 | Adoppler=300,#300 | |
|
41 | delay=0, | |
|
42 | online=0, | |
|
43 | walk=0, | |
|
44 | profilesPerBlock=625, | |
|
45 | dataBlocksPerFile=100) | |
|
46 | #nTotalReadFiles=2) | |
|
47 | ||
|
48 | ||
|
49 | #opObj11 = readUnitConfObj.addOperation(name='printInfo') | |
|
50 | ||
|
51 | procUnitConfObjA = controllerObj.addProcUnit(datatype='VoltageProc', inputId=readUnitConfObj.getId()) | |
|
52 | ||
|
53 | procUnitConfObjB = controllerObj.addProcUnit(datatype='SpectraProc', inputId=procUnitConfObjA.getId()) | |
|
54 | procUnitConfObjB.addParameter(name='nFFTPoints', value=625, format='int') | |
|
55 | procUnitConfObjB.addParameter(name='nProfiles', value=625, format='int') | |
|
56 | ||
|
57 | opObj11 = procUnitConfObjB.addOperation(name='removeDC') | |
|
58 | opObj11.addParameter(name='mode', value=2) | |
|
59 | #opObj11 = procUnitConfObjB.addOperation(name='SpectraPlot') | |
|
60 | #opObj11 = procUnitConfObjB.addOperation(name='PowerProfilePlot') | |
|
61 | ||
|
62 | procUnitConfObjC= controllerObj.addProcUnit(datatype='ParametersProc',inputId=procUnitConfObjB.getId()) | |
|
63 | procUnitConfObjC.addOperation(name='SpectralMoments') | |
|
64 | #opObj11 = procUnitConfObjC.addOperation(name='PowerPlot') | |
|
65 | ||
|
66 | ''' | |
|
67 | opObj11 = procUnitConfObjC.addOperation(name='SpectralMomentsPlot') | |
|
68 | #opObj11.addParameter(name='xmin', value=14) | |
|
69 | #opObj11.addParameter(name='xmax', value=15) | |
|
70 | #opObj11.addParameter(name='save', value=figpath) | |
|
71 | opObj11.addParameter(name='showprofile', value=1) | |
|
72 | #opObj11.addParameter(name='save_period', value=10) | |
|
73 | ''' | |
|
74 | ||
|
75 | opObj10 = procUnitConfObjC.addOperation(name='ParameterWriter') | |
|
76 | opObj10.addParameter(name='path',value=figpath) | |
|
77 | #opObj10.addParameter(name='mode',value=0) | |
|
78 | opObj10.addParameter(name='blocksPerFile',value='100',format='int') | |
|
79 | opObj10.addParameter(name='metadataList',value='utctimeInit,timeInterval',format='list') | |
|
80 | opObj10.addParameter(name='dataList',value='data_POW,data_DOP,data_WIDTH,data_SNR')#,format='list' | |
|
81 | ||
|
82 | controllerObj.start() |
@@ -0,0 +1,162 | |||
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1 | import os,numpy,h5py | |
|
2 | from shutil import copyfile | |
|
3 | ||
|
4 | def isNumber(str): | |
|
5 | try: | |
|
6 | float(str) | |
|
7 | return True | |
|
8 | except: | |
|
9 | return False | |
|
10 | ||
|
11 | def getfirstFilefromPath(path,meta,ext): | |
|
12 | validFilelist = [] | |
|
13 | fileList = os.listdir(path) | |
|
14 | if len(fileList)<1: | |
|
15 | return None | |
|
16 | # meta 1234 567 8-18 BCDE | |
|
17 | # H,D,PE YYYY DDD EPOC .ext | |
|
18 | ||
|
19 | for thisFile in fileList: | |
|
20 | if meta =="PE": | |
|
21 | try: | |
|
22 | number= int(thisFile[len(meta)+7:len(meta)+17]) | |
|
23 | except: | |
|
24 | print("There is a file or folder with different format") | |
|
25 | if meta == "D": | |
|
26 | try: | |
|
27 | number= int(thisFile[8:11]) | |
|
28 | except: | |
|
29 | print("There is a file or folder with different format") | |
|
30 | ||
|
31 | if not isNumber(str=number): | |
|
32 | continue | |
|
33 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): | |
|
34 | continue | |
|
35 | validFilelist.sort() | |
|
36 | validFilelist.append(thisFile) | |
|
37 | if len(validFilelist)>0: | |
|
38 | validFilelist = sorted(validFilelist,key=str.lower) | |
|
39 | return validFilelist | |
|
40 | return None | |
|
41 | ||
|
42 | def gettimeutcfromDirFilename(path,file): | |
|
43 | dir_file= path+"/"+file | |
|
44 | fp = h5py.File(dir_file,'r') | |
|
45 | epoc = fp['Metadata'].get('utctimeInit')[()] | |
|
46 | fp.close() | |
|
47 | return epoc | |
|
48 | ||
|
49 | def getDatavaluefromDirFilename(path,file,value): | |
|
50 | dir_file= path+"/"+file | |
|
51 | fp = h5py.File(dir_file,'r') | |
|
52 | array = fp['Data'].get(value)[()] | |
|
53 | fp.close() | |
|
54 | return array | |
|
55 | ||
|
56 | ||
|
57 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Velocidad de PedestalΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
58 | w = input ("Ingresa velocidad de Pedestal: ") | |
|
59 | w = 4 | |
|
60 | w = float(w) | |
|
61 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Resolucion minimo en gradosΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
62 | alfa = input ("Ingresa resolucion minima en grados: ") | |
|
63 | alfa = 1 | |
|
64 | alfa = float(alfa) | |
|
65 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· IPP del Experimento Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
66 | IPP = input ("Ingresa el IPP del experimento: ") | |
|
67 | IPP = 0.0004 | |
|
68 | IPP = float(IPP) | |
|
69 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· MODE Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
70 | mode = input ("Ingresa el MODO del experimento T or F: ") | |
|
71 | mode = "T" | |
|
72 | mode = str(mode) | |
|
73 | ||
|
74 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Tiempo en generar la resolucion minΒ·Β·Β· | |
|
75 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· MCU Β·Β· var_ang = w * (var_tiempo)Β·Β·Β· | |
|
76 | var_tiempo = alfa/w | |
|
77 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Tiempo Equivalente en perfilesΒ·Β·Β·Β·Β·Β·Β·Β· | |
|
78 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· var_tiempo = IPP * ( num_perfiles )Β· | |
|
79 | num_perfiles = int(var_tiempo/IPP) | |
|
80 | ||
|
81 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·DATA PEDESTALΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
82 | dir_pedestal = "/home/alex/Downloads/pedestal" | |
|
83 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· DATA ADQΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
84 | if mode=="T": | |
|
85 | dir_adq = "/home/alex/Downloads/hdf5_testPP/d2020194" # Time domain | |
|
86 | else: | |
|
87 | dir_adq = "/home/alex/Downloads/hdf5_test/d2020194" # Frequency domain | |
|
88 | ||
|
89 | print( "Velocidad angular :", w) | |
|
90 | print( "Resolucion minima en grados :", alfa) | |
|
91 | print( "Numero de perfiles equivalente:", num_perfiles) | |
|
92 | print( "Mode :", mode) | |
|
93 | ||
|
94 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· First FileΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
95 | list_pedestal = getfirstFilefromPath(path=dir_pedestal,meta="PE",ext=".hdf5") | |
|
96 | list_adq = getfirstFilefromPath(path=dir_adq ,meta="D",ext=".hdf5") | |
|
97 | ||
|
98 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· utc time Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
99 | utc_pedestal= gettimeutcfromDirFilename(path=dir_pedestal,file=list_pedestal[0]) | |
|
100 | utc_adq = gettimeutcfromDirFilename(path=dir_adq ,file=list_adq[0]) | |
|
101 | ||
|
102 | print("utc_pedestal :",utc_pedestal) | |
|
103 | print("utc_adq :",utc_adq) | |
|
104 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Relacion: utc_adq (+/-) var_tiempo*nro_file= utc_pedestal | |
|
105 | time_Interval_p = 0.01 | |
|
106 | n_perfiles_p = 100 | |
|
107 | if utc_adq>utc_pedestal: | |
|
108 | nro_file = int((int(utc_adq) - int(utc_pedestal))/(time_Interval_p*n_perfiles_p)) | |
|
109 | ff_pedestal = list_pedestal[nro_file] | |
|
110 | utc_pedestal = gettimeutcfromDirFilename(path=dir_pedestal,file=ff_pedestal) | |
|
111 | nro_key_p = int((utc_adq-utc_pedestal)/time_Interval_p) | |
|
112 | if utc_adq >utc_pedestal: | |
|
113 | ff_pedestal = ff_pedestal | |
|
114 | else: | |
|
115 | nro_file = nro_file-1 | |
|
116 | ff_pedestal = list_pedestal[nro_file] | |
|
117 | angulo = getDatavaluefromDirFilename(path=dir_pedestal,file=ff_pedestal,value="azimuth") | |
|
118 | nro_key_p = int((utc_adq-utc_pedestal)/time_Interval_p) | |
|
119 | print("nro_file :",nro_file) | |
|
120 | print("name_file :",ff_pedestal) | |
|
121 | print("utc_pedestal_file :",utc_pedestal) | |
|
122 | print("nro_key_p :",nro_key_p) | |
|
123 | print("utc_pedestal_init :",utc_pedestal+nro_key_p*time_Interval_p) | |
|
124 | print("angulo_array :",angulo[nro_key_p]) | |
|
125 | #4+25+25+25+21 | |
|
126 | #while True: | |
|
127 | list_pedestal = getfirstFilefromPath(path=dir_pedestal,meta="PE",ext=".hdf5") | |
|
128 | list_adq = getfirstFilefromPath(path=dir_adq ,meta="D",ext=".hdf5") | |
|
129 | ||
|
130 | nro_file = nro_file #10 | |
|
131 | nro_key_perfil = nro_key_p | |
|
132 | blocksPerFile = 100 | |
|
133 | wr_path = "/home/alex/Downloads/hdf5_wr/" | |
|
134 | # Lectura de archivos de adquisicion para adicion de azimuth | |
|
135 | for thisFile in range(len(list_adq)): | |
|
136 | print("thisFileAdq",thisFile) | |
|
137 | angulo_adq = numpy.zeros(blocksPerFile) | |
|
138 | tmp = 0 | |
|
139 | for j in range(blocksPerFile): | |
|
140 | iterador = nro_key_perfil + 25*(j-tmp) | |
|
141 | if iterador < n_perfiles_p: | |
|
142 | nro_file = nro_file | |
|
143 | else: | |
|
144 | nro_file = nro_file+1 | |
|
145 | tmp = j | |
|
146 | iterador = nro_key_perfil | |
|
147 | ff_pedestal = list_pedestal[nro_file] | |
|
148 | angulo = getDatavaluefromDirFilename(path=dir_pedestal,file=ff_pedestal,value="azimuth") | |
|
149 | angulo_adq[j]= angulo[iterador] | |
|
150 | copyfile(dir_adq+"/"+list_adq[thisFile],wr_path+list_adq[thisFile]) | |
|
151 | fp = h5py.File(wr_path+list_adq[thisFile],'a') | |
|
152 | grp = fp.create_group("Pedestal") | |
|
153 | dset = grp.create_dataset("azimuth" , data=angulo_adq) | |
|
154 | fp.close() | |
|
155 | print("Angulo",angulo_adq) | |
|
156 | print("Angulo",len(angulo_adq)) | |
|
157 | nro_key_perfil=iterador + 25 | |
|
158 | if nro_key_perfil< n_perfiles_p: | |
|
159 | nro_file = nro_file | |
|
160 | else: | |
|
161 | nro_file = nro_file+1 | |
|
162 | nro_key_perfil= nro_key_p |
@@ -360,9 +360,11 class Voltage(JROData): | |||
|
360 | 360 | |
|
361 | 361 | # data es un numpy array de 2 dmensiones (canales, alturas) |
|
362 | 362 | data = None |
|
363 |
data |
|
|
364 |
data |
|
|
365 |
data |
|
|
363 | dataPP_POW = None | |
|
364 | dataPP_DOP = None | |
|
365 | dataPP_WIDTH = None | |
|
366 | dataPP_SNR = None | |
|
367 | ||
|
366 | 368 | def __init__(self): |
|
367 | 369 | ''' |
|
368 | 370 | Constructor |
@@ -1208,7 +1210,7 class PlotterData(object): | |||
|
1208 | 1210 | ''' |
|
1209 | 1211 | Update data object with new dataOut |
|
1210 | 1212 | ''' |
|
1211 | ||
|
1213 | ||
|
1212 | 1214 | self.profileIndex = dataOut.profileIndex |
|
1213 | 1215 | self.tm = tm |
|
1214 | 1216 | self.type = dataOut.type |
@@ -1261,15 +1263,19 class PlotterData(object): | |||
|
1261 | 1263 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
1262 | 1264 | self.nProfiles = dataOut.nProfiles |
|
1263 | 1265 | if plot == 'pp_power': |
|
1264 |
buffer = dataOut.data |
|
|
1266 | buffer = dataOut.dataPP_POWER | |
|
1267 | self.flagDataAsBlock = dataOut.flagDataAsBlock | |
|
1268 | self.nProfiles = dataOut.nProfiles | |
|
1269 | if plot == 'pp_signal': | |
|
1270 | buffer = dataOut.dataPP_POW | |
|
1265 | 1271 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
1266 | 1272 | self.nProfiles = dataOut.nProfiles |
|
1267 | 1273 | if plot == 'pp_velocity': |
|
1268 |
buffer = dataOut.data |
|
|
1274 | buffer = dataOut.dataPP_DOP | |
|
1269 | 1275 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
1270 | 1276 | self.nProfiles = dataOut.nProfiles |
|
1271 | 1277 | if plot == 'pp_specwidth': |
|
1272 |
buffer = dataOut.data |
|
|
1278 | buffer = dataOut.dataPP_WIDTH | |
|
1273 | 1279 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
1274 | 1280 | self.nProfiles = dataOut.nProfiles |
|
1275 | 1281 |
@@ -156,6 +156,8 class ScopePlot(Plot): | |||
|
156 | 156 | thisDatetime = datetime.datetime.utcfromtimestamp(self.data.times[-1]) |
|
157 | 157 | if self.CODE == "pp_power": |
|
158 | 158 | scope = self.data['pp_power'] |
|
159 | elif self.CODE == "pp_signal": | |
|
160 | scope = self.data["pp_signal"] | |
|
159 | 161 | elif self.CODE == "pp_velocity": |
|
160 | 162 | scope = self.data["pp_velocity"] |
|
161 | 163 | elif self.CODE == "pp_specwidth": |
@@ -191,6 +193,13 class ScopePlot(Plot): | |||
|
191 | 193 | thisDatetime, |
|
192 | 194 | wintitle |
|
193 | 195 | ) |
|
196 | if self.CODE=="pp_signal": | |
|
197 | self.plot_weatherpower(self.data.heights, | |
|
198 | scope[:,i,:], | |
|
199 | channels, | |
|
200 | thisDatetime, | |
|
201 | wintitle | |
|
202 | ) | |
|
194 | 203 | if self.CODE=="pp_velocity": |
|
195 | 204 | self.plot_weathervelocity(scope[:,i,:], |
|
196 | 205 | self.data.heights, |
@@ -230,6 +239,13 class ScopePlot(Plot): | |||
|
230 | 239 | thisDatetime, |
|
231 | 240 | wintitle |
|
232 | 241 | ) |
|
242 | if self.CODE=="pp_signal": | |
|
243 | self.plot_weatherpower(self.data.heights, | |
|
244 | scope, | |
|
245 | channels, | |
|
246 | thisDatetime, | |
|
247 | wintitle | |
|
248 | ) | |
|
233 | 249 | if self.CODE=="pp_velocity": |
|
234 | 250 | self.plot_weathervelocity(scope, |
|
235 | 251 | self.data.heights, |
@@ -249,7 +265,7 class ScopePlot(Plot): | |||
|
249 | 265 | |
|
250 | 266 | class PulsepairPowerPlot(ScopePlot): |
|
251 | 267 | ''' |
|
252 | Plot for | |
|
268 | Plot for P= S+N | |
|
253 | 269 | ''' |
|
254 | 270 | |
|
255 | 271 | CODE = 'pp_power' |
@@ -259,7 +275,7 class PulsepairPowerPlot(ScopePlot): | |||
|
259 | 275 | |
|
260 | 276 | class PulsepairVelocityPlot(ScopePlot): |
|
261 | 277 | ''' |
|
262 | Plot for | |
|
278 | Plot for VELOCITY | |
|
263 | 279 | ''' |
|
264 | 280 | CODE = 'pp_velocity' |
|
265 | 281 | plot_name = 'PulsepairVelocity' |
@@ -268,9 +284,19 class PulsepairVelocityPlot(ScopePlot): | |||
|
268 | 284 | |
|
269 | 285 | class PulsepairSpecwidthPlot(ScopePlot): |
|
270 | 286 | ''' |
|
271 | Plot for | |
|
287 | Plot for WIDTH | |
|
272 | 288 | ''' |
|
273 | 289 | CODE = 'pp_specwidth' |
|
274 | 290 | plot_name = 'PulsepairSpecwidth' |
|
275 | 291 | plot_type = 'scatter' |
|
276 | 292 | buffering = False |
|
293 | ||
|
294 | class PulsepairSignalPlot(ScopePlot): | |
|
295 | ''' | |
|
296 | Plot for S | |
|
297 | ''' | |
|
298 | ||
|
299 | CODE = 'pp_signal' | |
|
300 | plot_name = 'PulsepairSignal' | |
|
301 | plot_type = 'scatter' | |
|
302 | buffering = False |
@@ -360,21 +360,27 class SimulatorReader(JRODataReader, ProcessingUnit): | |||
|
360 | 360 | fd = Fdoppler #+(600.0/120)*self.nReadBlocks |
|
361 | 361 | d_signal = Adoppler*numpy.array(numpy.exp(1.0j*2.0*math.pi*fd*time_vec),dtype=numpy.complex64) |
|
362 | 362 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·SeΓ±al con ancho espectralΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· |
|
363 | #specw_sig = numpy.linspace(-149,150,300) | |
|
364 | #w = 8 | |
|
365 | #A = 20 | |
|
366 | #specw_sig = specw_sig/w | |
|
367 | #specw_sig = numpy.sinc(specw_sig) | |
|
368 | #specw_sig = A*numpy.array(specw_sig,dtype=numpy.complex64) | |
|
363 | if prof_gen%2==0: | |
|
364 | min = int(prof_gen/2.0-1.0) | |
|
365 | max = int(prof_gen/2.0) | |
|
366 | else: | |
|
367 | min = int(prof_gen/2.0) | |
|
368 | max = int(prof_gen/2.0) | |
|
369 | specw_sig = numpy.linspace(-min,max,prof_gen) | |
|
370 | w = 4 | |
|
371 | A = 20 | |
|
372 | specw_sig = specw_sig/w | |
|
373 | specw_sig = numpy.sinc(specw_sig) | |
|
374 | specw_sig = A*numpy.array(specw_sig,dtype=numpy.complex64) | |
|
369 | 375 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· DATABLOCK + DOPPLERΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· |
|
370 | 376 | HD=int(Hdoppler/self.AcqDH_0) |
|
371 | 377 | for i in range(12): |
|
372 | 378 | self.datablock[0,:,HD+i]=self.datablock[0,:,HD+i]+ d_signal# RESULT |
|
373 | 379 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· DATABLOCK + DOPPLER*Sinc(x)Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· |
|
374 |
|
|
|
375 |
|
|
|
376 |
|
|
|
377 |
|
|
|
380 | HD=int(Hdoppler/self.AcqDH_0) | |
|
381 | HD=int(HD/2) | |
|
382 | for i in range(12): | |
|
383 | self.datablock[0,:,HD+i]=self.datablock[0,:,HD+i]+ specw_sig*d_signal# RESULT | |
|
378 | 384 | |
|
379 | 385 | def readBlock(self): |
|
380 | 386 | |
@@ -421,7 +427,8 class SimulatorReader(JRODataReader, ProcessingUnit): | |||
|
421 | 427 | FixPP_CohInt= 1,Tau_0= 250,AcqH0_0 = 70 ,AcqDH_0=1.25, Bauds= 32, |
|
422 | 428 | FixRCP_TXA = 40, FixRCP_TXB = 50, fAngle = 2.0*math.pi*(1/16),DC_level= 50, |
|
423 | 429 | stdev= 8,Num_Codes = 1 , Dyn_snCode = None, samples=200, |
|
424 |
channels=2,Fdoppler=20,Hdoppler=36,Adoppler=500, |
|
|
430 | channels=2,Fdoppler=20,Hdoppler=36,Adoppler=500, | |
|
431 | profilesPerBlock=300,dataBlocksPerFile=120,nTotalReadFiles=10000, | |
|
425 | 432 | **kwargs): |
|
426 | 433 | |
|
427 | 434 | self.set_kwargs(**kwargs) |
@@ -447,14 +454,14 class SimulatorReader(JRODataReader, ProcessingUnit): | |||
|
447 | 454 | codeType=0, nCode=Num_Codes, nBaud=32, code=Dyn_snCode, |
|
448 | 455 | flip1=0, flip2=0,Taus=Tau_0) |
|
449 | 456 | |
|
450 |
self.set_PH(dtype=0, blockSize=0, profilesPerBlock= |
|
|
451 |
dataBlocksPerFile= |
|
|
457 | self.set_PH(dtype=0, blockSize=0, profilesPerBlock=profilesPerBlock, | |
|
458 | dataBlocksPerFile=dataBlocksPerFile, nWindows=1, processFlags=numpy.array([1024]), nCohInt=1, | |
|
452 | 459 | nIncohInt=1, totalSpectra=0, nHeights=samples, firstHeight=AcqH0_0, |
|
453 | 460 | deltaHeight=AcqDH_0, samplesWin=samples, spectraComb=0, nCode=0, |
|
454 | 461 | code=0, nBaud=None, shif_fft=False, flag_dc=False, |
|
455 | 462 | flag_cspc=False, flag_decode=False, flag_deflip=False) |
|
456 | 463 | |
|
457 |
self.set_SH(nSamples=samples, nProfiles= |
|
|
464 | self.set_SH(nSamples=samples, nProfiles=profilesPerBlock, nChannels=channels) | |
|
458 | 465 | |
|
459 | 466 | self.readFirstHeader() |
|
460 | 467 |
|
1 | NO CONTENT: modified file | |
The requested commit or file is too big and content was truncated. Show full diff |
@@ -2,7 +2,7 import sys | |||
|
2 | 2 | import numpy,math |
|
3 | 3 | from scipy import interpolate |
|
4 | 4 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
5 | from schainpy.model.data.jrodata import Voltage | |
|
5 | from schainpy.model.data.jrodata import Voltage,hildebrand_sekhon | |
|
6 | 6 | from schainpy.utils import log |
|
7 | 7 | from time import time |
|
8 | 8 | |
@@ -1355,9 +1355,6 class PulsePairVoltage(Operation): | |||
|
1355 | 1355 | n, |
|
1356 | 1356 | dataOut.nHeights), |
|
1357 | 1357 | dtype='complex') |
|
1358 | #self.noise = numpy.zeros([self.__nch,self.__nHeis]) | |
|
1359 | #for i in range(self.__nch): | |
|
1360 | # self.noise[i]=dataOut.getNoise(channel=i) | |
|
1361 | 1358 | |
|
1362 | 1359 | def putData(self,data): |
|
1363 | 1360 | ''' |
@@ -1372,101 +1369,127 class PulsePairVoltage(Operation): | |||
|
1372 | 1369 | Return the PULSEPAIR and the profiles used in the operation |
|
1373 | 1370 | Affected : self.__profileIndex |
|
1374 | 1371 | ''' |
|
1372 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Remove DCΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
1375 | 1373 | if self.removeDC==True: |
|
1376 | 1374 | mean = numpy.mean(self.__buffer,1) |
|
1377 | 1375 | tmp = mean.reshape(self.__nch,1,self.__nHeis) |
|
1378 | 1376 | dc= numpy.tile(tmp,[1,self.__nProf,1]) |
|
1379 | 1377 | self.__buffer = self.__buffer - dc |
|
1378 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Calculo de Potencia Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
1379 | pair0 = self.__buffer*numpy.conj(self.__buffer) | |
|
1380 | pair0 = pair0.real | |
|
1381 | lag_0 = numpy.sum(pair0,1) | |
|
1382 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Calculo de Ruido x canalΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
1383 | self.noise = numpy.zeros(self.__nch) | |
|
1384 | for i in range(self.__nch): | |
|
1385 | daux = numpy.sort(pair0[i,:,:],axis= None) | |
|
1386 | self.noise[i]=hildebrand_sekhon( daux ,self.nCohInt) | |
|
1387 | ||
|
1388 | self.noise = self.noise.reshape(self.__nch,1) | |
|
1389 | self.noise = numpy.tile(self.noise,[1,self.__nHeis]) | |
|
1390 | noise_buffer = self.noise.reshape(self.__nch,1,self.__nHeis) | |
|
1391 | noise_buffer = numpy.tile(noise_buffer,[1,self.__nProf,1]) | |
|
1392 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Potencia recibida= P , Potencia senal = S , Ruido= NΒ·Β· | |
|
1393 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· P= S+N ,P=lag_0/N Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
1394 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Power Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
1395 | data_power = lag_0/(self.n*self.nCohInt) | |
|
1396 | #------------------ Senal Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
1397 | data_intensity = pair0 - noise_buffer | |
|
1398 | data_intensity = numpy.sum(data_intensity,axis=1)*(self.n*self.nCohInt)#*self.nCohInt) | |
|
1399 | #data_intensity = (lag_0-self.noise*self.n)*(self.n*self.nCohInt) | |
|
1400 | for i in range(self.__nch): | |
|
1401 | for j in range(self.__nHeis): | |
|
1402 | if data_intensity[i][j] < 0: | |
|
1403 | data_intensity[i][j] = numpy.min(numpy.absolute(data_intensity[i][j])) | |
|
1380 | 1404 | |
|
1381 | lag_0 = numpy.sum(self.__buffer*numpy.conj(self.__buffer),1) | |
|
1382 | data_intensity = lag_0/(self.n*self.nCohInt)#*self.nCohInt) | |
|
1383 | ||
|
1405 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Calculo de Frecuencia y Velocidad dopplerΒ·Β·Β·Β·Β·Β·Β·Β· | |
|
1384 | 1406 | pair1 = self.__buffer[:,:-1,:]*numpy.conjugate(self.__buffer[:,1:,:]) |
|
1385 | 1407 | lag_1 = numpy.sum(pair1,1) |
|
1386 | #angle = numpy.angle(numpy.sum(pair1,1))*180/(math.pi) | |
|
1387 | data_velocity = (-1.0*self.lambda_/(4*math.pi*self.ippSec))*numpy.angle(lag_1)#self.ippSec*self.nCohInt | |
|
1408 | data_freq = (-1/(2.0*math.pi*self.ippSec*self.nCohInt))*numpy.angle(lag_1) | |
|
1409 | data_velocity = (self.lambda_/2.0)*data_freq | |
|
1388 | 1410 | |
|
1389 | self.noise = numpy.zeros([self.__nch,self.__nHeis]) | |
|
1390 | for i in range(self.__nch): | |
|
1391 | self.noise[i]=dataOut.getNoise(channel=i) | |
|
1411 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Potencia promedio estimada de la SenalΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
1412 | lag_0 = lag_0/self.n | |
|
1413 | S = lag_0-self.noise | |
|
1392 | 1414 | |
|
1393 | lag_0 = lag_0.real/(self.n) | |
|
1415 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Frecuencia Doppler promedio Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
1394 | 1416 | lag_1 = lag_1/(self.n-1) |
|
1395 | 1417 | R1 = numpy.abs(lag_1) |
|
1396 | S = (lag_0-self.noise) | |
|
1397 | 1418 | |
|
1419 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Calculo del SNRΒ·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
1398 | 1420 | data_snrPP = S/self.noise |
|
1399 | data_snrPP = numpy.where(data_snrPP<0,1,data_snrPP) | |
|
1421 | for i in range(self.__nch): | |
|
1422 | for j in range(self.__nHeis): | |
|
1423 | if data_snrPP[i][j] < 1.e-20: | |
|
1424 | data_snrPP[i][j] = 1.e-20 | |
|
1400 | 1425 | |
|
1426 | #Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· Calculo del ancho espectral Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β·Β· | |
|
1401 | 1427 | L = S/R1 |
|
1402 | 1428 | L = numpy.where(L<0,1,L) |
|
1403 | 1429 | L = numpy.log(L) |
|
1404 | ||
|
1405 | 1430 | tmp = numpy.sqrt(numpy.absolute(L)) |
|
1406 | ||
|
1407 | data_specwidth = (self.lambda_/(2*math.sqrt(2)*math.pi*self.ippSec))*tmp*numpy.sign(L) | |
|
1408 | #data_specwidth = (self.lambda_/(2*math.sqrt(2)*math.pi*self.ippSec))*k | |
|
1431 | data_specwidth = (self.lambda_/(2*math.sqrt(2)*math.pi*self.ippSec*self.nCohInt))*tmp*numpy.sign(L) | |
|
1409 | 1432 | n = self.__profIndex |
|
1410 | 1433 | |
|
1411 | 1434 | self.__buffer = numpy.zeros((self.__nch, self.__nProf,self.__nHeis), dtype='complex') |
|
1412 | 1435 | self.__profIndex = 0 |
|
1413 | return data_intensity,data_velocity,data_snrPP,data_specwidth,n | |
|
1436 | return data_power,data_intensity,data_velocity,data_snrPP,data_specwidth,n | |
|
1437 | ||
|
1414 | 1438 | |
|
1415 | 1439 | def pulsePairbyProfiles(self,dataOut): |
|
1416 | 1440 | |
|
1417 | 1441 | self.__dataReady = False |
|
1442 | data_power = None | |
|
1418 | 1443 | data_intensity = None |
|
1419 | 1444 | data_velocity = None |
|
1420 | 1445 | data_specwidth = None |
|
1421 | 1446 | data_snrPP = None |
|
1422 | 1447 | self.putData(data=dataOut.data) |
|
1423 | 1448 | if self.__profIndex == self.n: |
|
1424 | #self.noise = numpy.zeros([self.__nch,self.__nHeis]) | |
|
1425 | #for i in range(self.__nch): | |
|
1426 | # self.noise[i]=data.getNoise(channel=i) | |
|
1427 | #print(self.noise.shape) | |
|
1428 | data_intensity, data_velocity,data_snrPP,data_specwidth, n = self.pushData(dataOut=dataOut) | |
|
1449 | data_power,data_intensity, data_velocity,data_snrPP,data_specwidth, n = self.pushData(dataOut=dataOut) | |
|
1429 | 1450 | self.__dataReady = True |
|
1430 | 1451 | |
|
1431 | return data_intensity, data_velocity,data_snrPP,data_specwidth | |
|
1452 | return data_power, data_intensity, data_velocity, data_snrPP, data_specwidth | |
|
1453 | ||
|
1432 | 1454 | |
|
1433 | 1455 | def pulsePairOp(self, dataOut, datatime= None): |
|
1434 | 1456 | |
|
1435 | 1457 | if self.__initime == None: |
|
1436 | 1458 | self.__initime = datatime |
|
1437 | #print("hola") | |
|
1438 | data_intensity, data_velocity,data_snrPP,data_specwidth = self.pulsePairbyProfiles(dataOut) | |
|
1459 | data_power, data_intensity, data_velocity, data_snrPP, data_specwidth = self.pulsePairbyProfiles(dataOut) | |
|
1439 | 1460 | self.__lastdatatime = datatime |
|
1440 | 1461 | |
|
1441 |
if data_ |
|
|
1442 | return None, None,None,None,None | |
|
1462 | if data_power is None: | |
|
1463 | return None, None, None,None,None,None | |
|
1443 | 1464 | |
|
1444 | 1465 | avgdatatime = self.__initime |
|
1445 | 1466 | deltatime = datatime - self.__lastdatatime |
|
1446 | 1467 | self.__initime = datatime |
|
1447 | 1468 | |
|
1448 | return data_intensity, data_velocity,data_snrPP,data_specwidth,avgdatatime | |
|
1469 | return data_power, data_intensity, data_velocity, data_snrPP, data_specwidth, avgdatatime | |
|
1449 | 1470 | |
|
1450 | 1471 | def run(self, dataOut,n = None,removeDC= False, overlapping= False,**kwargs): |
|
1451 | 1472 | |
|
1452 | 1473 | if not self.isConfig: |
|
1453 | 1474 | self.setup(dataOut = dataOut, n = n , removeDC=removeDC , **kwargs) |
|
1454 | 1475 | self.isConfig = True |
|
1455 | data_intensity, data_velocity,data_snrPP,data_specwidth, avgdatatime = self.pulsePairOp(dataOut, dataOut.utctime) | |
|
1476 | data_power, data_intensity, data_velocity,data_snrPP,data_specwidth, avgdatatime = self.pulsePairOp(dataOut, dataOut.utctime) | |
|
1456 | 1477 | dataOut.flagNoData = True |
|
1457 | 1478 | |
|
1458 | 1479 | if self.__dataReady: |
|
1459 | 1480 | dataOut.nCohInt *= self.n |
|
1460 |
dataOut.data |
|
|
1461 |
dataOut.data |
|
|
1462 |
dataOut.data |
|
|
1463 |
dataOut.data |
|
|
1481 | dataOut.dataPP_POW = data_intensity # S | |
|
1482 | dataOut.dataPP_POWER = data_power # P | |
|
1483 | dataOut.dataPP_DOP = data_velocity | |
|
1484 | dataOut.dataPP_SNR = data_snrPP | |
|
1485 | dataOut.dataPP_WIDTH = data_specwidth | |
|
1464 | 1486 | dataOut.PRFbyAngle = self.n #numero de PRF*cada angulo rotado que equivale a un tiempo. |
|
1465 | 1487 | dataOut.utctime = avgdatatime |
|
1466 | 1488 | dataOut.flagNoData = False |
|
1467 | 1489 | return dataOut |
|
1468 | 1490 | |
|
1469 | 1491 | |
|
1492 | ||
|
1470 | 1493 | # import collections |
|
1471 | 1494 | # from scipy.stats import mode |
|
1472 | 1495 | # |
@@ -25,8 +25,20 readUnitConfObj = controllerObj.addReadUnit(datatype='SimulatorReader', | |||
|
25 | 25 | delay=0, |
|
26 | 26 | online=0, |
|
27 | 27 | walk=0, |
|
28 |
|
|
|
29 | ||
|
28 | profilesPerBlock=625, | |
|
29 | dataBlocksPerFile=100)#,#nTotalReadFiles=2) | |
|
30 | ''' | |
|
31 | readUnitConfObj = controllerObj.addReadUnit(datatype='VoltageReader', | |
|
32 | path=path, | |
|
33 | startDate="2020/01/01", #"2020/01/01",#today, | |
|
34 | endDate= "2020/12/01", #"2020/12/30",#today, | |
|
35 | startTime='00:00:00', | |
|
36 | endTime='23:59:59', | |
|
37 | delay=0, | |
|
38 | #set=0, | |
|
39 | online=0, | |
|
40 | walk=1) | |
|
41 | ''' | |
|
30 | 42 | opObj11 = readUnitConfObj.addOperation(name='printInfo') |
|
31 | 43 | |
|
32 | 44 | procUnitConfObjA = controllerObj.addProcUnit(datatype='VoltageProc', inputId=readUnitConfObj.getId()) |
@@ -36,14 +48,26 procUnitConfObjA = controllerObj.addProcUnit(datatype='VoltageProc', inputId=rea | |||
|
36 | 48 | #opObj10 = procUnitConfObjA.addOperation(name='selectChannels') |
|
37 | 49 | #opObj10.addParameter(name='channelList', value=[0]) |
|
38 | 50 | opObj11 = procUnitConfObjA.addOperation(name='PulsePairVoltage', optype='other') |
|
39 |
opObj11.addParameter(name='n', value=' |
|
|
51 | opObj11.addParameter(name='n', value='625', format='int')#10 | |
|
40 | 52 | opObj11.addParameter(name='removeDC', value=1, format='int') |
|
41 | 53 | |
|
42 | 54 | #opObj11 = procUnitConfObjA.addOperation(name='PulsepairPowerPlot', optype='other') |
|
55 | #opObj11 = procUnitConfObjA.addOperation(name='PulsepairSignalPlot', optype='other') | |
|
56 | ||
|
43 | 57 | |
|
44 | opObj11 = procUnitConfObjA.addOperation(name='PulsepairVelocityPlot', optype='other') | |
|
58 | #opObj11 = procUnitConfObjA.addOperation(name='PulsepairVelocityPlot', optype='other') | |
|
45 | 59 | #opObj11.addParameter(name='xmax', value=8) |
|
46 | 60 | |
|
47 | opObj11 = procUnitConfObjA.addOperation(name='PulsepairSpecwidthPlot', optype='other') | |
|
61 | #opObj11 = procUnitConfObjA.addOperation(name='PulsepairSpecwidthPlot', optype='other') | |
|
62 | ||
|
63 | procUnitConfObjB= controllerObj.addProcUnit(datatype='ParametersProc',inputId=procUnitConfObjA.getId()) | |
|
64 | ||
|
65 | ||
|
66 | opObj10 = procUnitConfObjB.addOperation(name='ParameterWriter') | |
|
67 | opObj10.addParameter(name='path',value=figpath) | |
|
68 | #opObj10.addParameter(name='mode',value=0) | |
|
69 | opObj10.addParameter(name='blocksPerFile',value='100',format='int') | |
|
70 | opObj10.addParameter(name='metadataList',value='utctimeInit,timeInterval',format='list') | |
|
71 | opObj10.addParameter(name='dataList',value='dataPP_POW,dataPP_DOP,dataPP_SNR,dataPP_WIDTH')#,format='list' | |
|
48 | 72 | |
|
49 | 73 | controllerObj.start() |
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