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# Ing-AlexanderValdez
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# Monitoreo de Pedestal
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############## IMPORTA LIBRERIAS ###################
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import os,numpy,h5py
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import sys,time
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import matplotlib.pyplot as plt
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####################################################
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#################################################################
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# LA FECHA 21-10-20 CORRESPONDE A LAS PRUEBAS DEL DIA MIERCOLES
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# 1:15:51 pm hasta 3:49:32 pm
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#################################################################
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#path_ped = '/DATA_RM/TEST_PEDESTAL/P20211012-082745'
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path_ped = '/DATA_RM/TEST_PEDESTAL/P20211020-131248'
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# Metodo para verificar numero
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def isNumber(str):
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try:
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float(str)
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return True
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except:
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return False
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# Metodo para extraer el arreglo
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def getDatavaluefromDirFilename(path,file,value):
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dir_file= path+"/"+file
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fp = h5py.File(dir_file,'r')
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array = fp['Data'].get(value)[()]
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fp.close()
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return array
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# LISTA COMPLETA DE ARCHIVOS HDF5 Pedestal
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LIST= sorted(os.listdir(path_ped))
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m=len(LIST)
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print("TOTAL DE ARCHIVOS DE PEDESTAL:",m)
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# Contadores temporales
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k= 0
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l= 0
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t= 0
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# Marca de tiempo temporal
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time_ = numpy.zeros([m])
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# creacion de
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for i in range(m):
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print("order:",i)
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tmp_azi_pos = getDatavaluefromDirFilename(path=path_ped,file=LIST[i],value="azi_pos")
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tmp_ele_pos = getDatavaluefromDirFilename(path=path_ped,file=LIST[i],value="ele_pos")
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tmp_azi_vel = getDatavaluefromDirFilename(path=path_ped,file=LIST[i],value="azi_vel")
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tmp_ele_vel = getDatavaluefromDirFilename(path=path_ped,file=LIST[i],value="azi_vel")# nuevo :D
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time_[i] = getDatavaluefromDirFilename(path=path_ped,file=LIST[i],value="utc")
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k=k +tmp_azi_pos.shape[0]
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l=l +tmp_ele_pos.shape[0]
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t=t +tmp_azi_vel.shape[0]
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print("TOTAL DE MUESTRAS, ARCHIVOS X100:",k)
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time.sleep(5)
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######CREACION DE ARREGLOS CANTIDAD DE VALORES POR MUESTRA#################
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azi_pos = numpy.zeros([k])
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ele_pos = numpy.zeros([l])
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time_azi_pos= numpy.zeros([k])
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# Contadores temporales
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p=0
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r=0
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z=0
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# VARIABLES TMP para almacenar azimuth, elevacion y tiempo
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#for filename in sorted(os.listdir(path_ped)):
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# CONDICION POR LEER EN TIEMPO REAL NO OFFLINE
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for filename in LIST:
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tmp_azi_pos = getDatavaluefromDirFilename(path=path_ped,file=filename,value="azi_pos")
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tmp_ele_pos = getDatavaluefromDirFilename(path=path_ped,file=filename,value="ele_pos")
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# CONDICION POR LEER EN TIEMPO REAL NO OFFLINE
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if z==(m-1):
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tmp_azi_time=numpy.arange(time_[z],time_[z]+1,1/(tmp_azi_pos.shape[0]))
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else:
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tmp_azi_time=numpy.arange(time_[z],time_[z+1],(time_[z+1]-time_[z])/(tmp_azi_pos.shape[0]))
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print(filename,time_[z])
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print(z,tmp_azi_pos.shape[0])
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i=0
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for i in range(tmp_azi_pos.shape[0]):
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index=p+i
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azi_pos[index]=tmp_azi_pos[i]
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time_azi_pos[index]=tmp_azi_time[i]
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p=p+tmp_azi_pos.shape[0]
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i=0
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for i in range(tmp_ele_pos.shape[0]):
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index=r+i
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ele_pos[index]=tmp_ele_pos[i]
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r=r+tmp_ele_pos.shape[0]
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z+=1
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######## GRAFIQUEMOS Y VEAMOS LOS DATOS DEL Pedestal
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fig, ax = plt.subplots(figsize=(16,8))
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print(time_azi_pos.shape)
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print(azi_pos.shape)
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t=numpy.arange(time_azi_pos.shape[0])*0.01/(60.0)
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plt.plot(t,azi_pos,label='AZIMUTH_POS',color='blue')
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# AQUI ESTOY ADICIONANDO LA POSICION EN elevaciont=numpy.arange(len(ele_pos))*0.01/60.0
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t=numpy.arange(len(ele_pos))*0.01/60.0
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plt.plot(t,ele_pos,label='ELEVATION_POS',color='red')#*10
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#ax.set_xlim(0, 9)
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ax.set_ylim(-5, 400)
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plt.ylabel("Azimuth Position")
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plt.xlabel("Muestra")
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plt.title('Azimuth Position vs Muestra ', fontsize=20)
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axes = plt.gca()
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axes.yaxis.grid()
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plt.xticks(fontsize=16)
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plt.yticks(fontsize=16)
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plt.show()
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