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1 | 1 | ''' |
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2 | 2 | |
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3 | 3 | $Author: murco $ |
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4 | 4 | $Id: JROData.py 173 2012-11-20 15:06:21Z murco $ |
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5 | 5 | ''' |
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6 | 6 | |
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7 | 7 | import copy |
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8 | 8 | import numpy |
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9 | 9 | import datetime |
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10 | 10 | import json |
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11 | 11 | |
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12 | 12 | from schainpy.utils import log |
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13 | 13 | from .jroheaderIO import SystemHeader, RadarControllerHeader |
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14 | 14 | |
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15 | 15 | |
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16 | 16 | def getNumpyDtype(dataTypeCode): |
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17 | 17 | |
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18 | 18 | if dataTypeCode == 0: |
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19 | 19 | numpyDtype = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
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20 | 20 | elif dataTypeCode == 1: |
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21 | 21 | numpyDtype = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
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22 | 22 | elif dataTypeCode == 2: |
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23 | 23 | numpyDtype = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
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24 | 24 | elif dataTypeCode == 3: |
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25 | 25 | numpyDtype = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
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26 | 26 | elif dataTypeCode == 4: |
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27 | 27 | numpyDtype = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
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28 | 28 | elif dataTypeCode == 5: |
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29 | 29 | numpyDtype = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
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30 | 30 | else: |
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31 | 31 | raise ValueError('dataTypeCode was not defined') |
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32 | 32 | |
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33 | 33 | return numpyDtype |
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34 | 34 | |
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35 | 35 | |
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36 | 36 | def getDataTypeCode(numpyDtype): |
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37 | 37 | |
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38 | 38 | if numpyDtype == numpy.dtype([('real', '<i1'), ('imag', '<i1')]): |
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39 | 39 | datatype = 0 |
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40 | 40 | elif numpyDtype == numpy.dtype([('real', '<i2'), ('imag', '<i2')]): |
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41 | 41 | datatype = 1 |
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42 | 42 | elif numpyDtype == numpy.dtype([('real', '<i4'), ('imag', '<i4')]): |
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43 | 43 | datatype = 2 |
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44 | 44 | elif numpyDtype == numpy.dtype([('real', '<i8'), ('imag', '<i8')]): |
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45 | 45 | datatype = 3 |
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46 | 46 | elif numpyDtype == numpy.dtype([('real', '<f4'), ('imag', '<f4')]): |
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47 | 47 | datatype = 4 |
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48 | 48 | elif numpyDtype == numpy.dtype([('real', '<f8'), ('imag', '<f8')]): |
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49 | 49 | datatype = 5 |
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50 | 50 | else: |
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51 | 51 | datatype = None |
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52 | 52 | |
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53 | 53 | return datatype |
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54 | 54 | |
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55 | 55 | |
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56 | 56 | def hildebrand_sekhon(data, navg): |
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57 | 57 | """ |
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58 | 58 | This method is for the objective determination of the noise level in Doppler spectra. This |
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59 | 59 | implementation technique is based on the fact that the standard deviation of the spectral |
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60 | 60 | densities is equal to the mean spectral density for white Gaussian noise |
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61 | 61 | |
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62 | 62 | Inputs: |
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63 | 63 | Data : heights |
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64 | 64 | navg : numbers of averages |
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65 | 65 | |
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66 | 66 | Return: |
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67 | 67 | mean : noise's level |
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68 | 68 | """ |
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69 | 69 | |
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70 | 70 | sortdata = numpy.sort(data, axis=None) |
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71 | 71 | lenOfData = len(sortdata) |
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72 | 72 | nums_min = lenOfData*0.2 |
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73 | 73 | |
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74 | 74 | if nums_min <= 5: |
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75 | 75 | |
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76 | 76 | nums_min = 5 |
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77 | 77 | |
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78 | 78 | sump = 0. |
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79 | 79 | sumq = 0. |
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80 | 80 | |
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81 | 81 | j = 0 |
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82 | 82 | cont = 1 |
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83 | 83 | |
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84 | 84 | while((cont == 1)and(j < lenOfData)): |
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85 | 85 | |
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86 | 86 | sump += sortdata[j] |
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87 | 87 | sumq += sortdata[j]**2 |
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88 | 88 | |
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89 | 89 | if j > nums_min: |
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90 | 90 | rtest = float(j)/(j-1) + 1.0/navg |
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91 | 91 | if ((sumq*j) > (rtest*sump**2)): |
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92 | 92 | j = j - 1 |
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93 | 93 | sump = sump - sortdata[j] |
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94 | 94 | sumq = sumq - sortdata[j]**2 |
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95 | 95 | cont = 0 |
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96 | 96 | |
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97 | 97 | j += 1 |
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98 | 98 | |
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99 | 99 | lnoise = sump / j |
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100 | 100 | |
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101 | 101 | return lnoise |
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102 | 102 | |
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103 | 103 | |
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104 | 104 | class Beam: |
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105 | 105 | |
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106 | 106 | def __init__(self): |
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107 | 107 | self.codeList = [] |
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108 | 108 | self.azimuthList = [] |
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109 | 109 | self.zenithList = [] |
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110 | 110 | |
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111 | 111 | |
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112 | 112 | class GenericData(object): |
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113 | 113 | |
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114 | 114 | flagNoData = True |
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115 | 115 | |
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116 | 116 | def copy(self, inputObj=None): |
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117 | 117 | |
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118 | 118 | if inputObj == None: |
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119 | 119 | return copy.deepcopy(self) |
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120 | 120 | |
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121 | 121 | for key in list(inputObj.__dict__.keys()): |
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122 | 122 | |
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123 | 123 | attribute = inputObj.__dict__[key] |
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124 | 124 | |
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125 | 125 | # If this attribute is a tuple or list |
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126 | 126 | if type(inputObj.__dict__[key]) in (tuple, list): |
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127 | 127 | self.__dict__[key] = attribute[:] |
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128 | 128 | continue |
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129 | 129 | |
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130 | 130 | # If this attribute is another object or instance |
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131 | 131 | if hasattr(attribute, '__dict__'): |
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132 | 132 | self.__dict__[key] = attribute.copy() |
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133 | 133 | continue |
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134 | 134 | |
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135 | 135 | self.__dict__[key] = inputObj.__dict__[key] |
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136 | 136 | |
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137 | 137 | def deepcopy(self): |
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138 | 138 | |
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139 | 139 | return copy.deepcopy(self) |
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140 | 140 | |
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141 | 141 | def isEmpty(self): |
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142 | 142 | |
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143 | 143 | return self.flagNoData |
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144 | 144 | |
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145 | 145 | |
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146 | 146 | class JROData(GenericData): |
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147 | 147 | |
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148 | 148 | # m_BasicHeader = BasicHeader() |
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149 | 149 | # m_ProcessingHeader = ProcessingHeader() |
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150 | 150 | |
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151 | 151 | systemHeaderObj = SystemHeader() |
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152 | 152 | radarControllerHeaderObj = RadarControllerHeader() |
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153 | 153 | # data = None |
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154 | 154 | type = None |
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155 | 155 | datatype = None # dtype but in string |
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156 | 156 | # dtype = None |
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157 | 157 | # nChannels = None |
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158 | 158 | # nHeights = None |
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159 | 159 | nProfiles = None |
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160 | 160 | heightList = None |
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161 | 161 | channelList = None |
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162 | 162 | flagDiscontinuousBlock = False |
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163 | 163 | useLocalTime = False |
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164 | 164 | utctime = None |
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165 | 165 | timeZone = None |
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166 | 166 | dstFlag = None |
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167 | 167 | errorCount = None |
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168 | 168 | blocksize = None |
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169 | 169 | # nCode = None |
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170 | 170 | # nBaud = None |
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171 | 171 | # code = None |
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172 | 172 | flagDecodeData = False # asumo q la data no esta decodificada |
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173 | 173 | flagDeflipData = False # asumo q la data no esta sin flip |
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174 | 174 | flagShiftFFT = False |
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175 | 175 | # ippSeconds = None |
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176 | 176 | # timeInterval = None |
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177 | 177 | nCohInt = None |
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178 | 178 | # noise = None |
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179 | 179 | windowOfFilter = 1 |
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180 | 180 | # Speed of ligth |
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181 | 181 | C = 3e8 |
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182 | 182 | frequency = 49.92e6 |
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183 | 183 | realtime = False |
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184 | 184 | beacon_heiIndexList = None |
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185 | 185 | last_block = None |
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186 | 186 | blocknow = None |
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187 | 187 | azimuth = None |
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188 | 188 | zenith = None |
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189 | 189 | beam = Beam() |
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190 | 190 | profileIndex = None |
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191 | 191 | error = None |
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192 | 192 | data = None |
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193 | 193 | nmodes = None |
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194 | 194 | |
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195 | 195 | def __str__(self): |
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196 | 196 | |
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197 | 197 | return '{} - {}'.format(self.type, self.getDatatime()) |
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198 | 198 | |
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199 | 199 | def getNoise(self): |
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200 | 200 | |
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201 | 201 | raise NotImplementedError |
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202 | 202 | |
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203 | 203 | def getNChannels(self): |
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204 | 204 | |
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205 | 205 | return len(self.channelList) |
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206 | 206 | |
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207 | 207 | def getChannelIndexList(self): |
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208 | 208 | |
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209 | 209 | return list(range(self.nChannels)) |
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210 | 210 | |
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211 | 211 | def getNHeights(self): |
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212 | 212 | |
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213 | 213 | return len(self.heightList) |
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214 | 214 | |
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215 | 215 | def getHeiRange(self, extrapoints=0): |
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216 | 216 | |
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217 | 217 | heis = self.heightList |
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218 | 218 | # deltah = self.heightList[1] - self.heightList[0] |
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219 | 219 | # |
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220 | 220 | # heis.append(self.heightList[-1]) |
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221 | 221 | |
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222 | 222 | return heis |
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223 | 223 | |
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224 | 224 | def getDeltaH(self): |
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225 | 225 | |
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226 | 226 | delta = self.heightList[1] - self.heightList[0] |
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227 | 227 | |
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228 | 228 | return delta |
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229 | 229 | |
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230 | 230 | def getltctime(self): |
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231 | 231 | |
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232 | 232 | if self.useLocalTime: |
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233 | 233 | return self.utctime - self.timeZone * 60 |
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234 | 234 | |
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235 | 235 | return self.utctime |
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236 | 236 | |
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237 | 237 | def getDatatime(self): |
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238 | 238 | |
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239 | 239 | datatimeValue = datetime.datetime.utcfromtimestamp(self.ltctime) |
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240 | 240 | return datatimeValue |
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241 | 241 | |
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242 | 242 | def getTimeRange(self): |
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243 | 243 | |
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244 | 244 | datatime = [] |
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245 | 245 | |
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246 | 246 | datatime.append(self.ltctime) |
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247 | 247 | datatime.append(self.ltctime + self.timeInterval + 1) |
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248 | 248 | |
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249 | 249 | datatime = numpy.array(datatime) |
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250 | 250 | |
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251 | 251 | return datatime |
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252 | 252 | |
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253 | 253 | def getFmaxTimeResponse(self): |
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254 | 254 | |
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255 | 255 | period = (10**-6) * self.getDeltaH() / (0.15) |
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256 | 256 | |
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257 | 257 | PRF = 1. / (period * self.nCohInt) |
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258 | 258 | |
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259 | 259 | fmax = PRF |
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260 | 260 | |
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261 | 261 | return fmax |
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262 | 262 | |
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263 | 263 | def getFmax(self): |
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264 | 264 | PRF = 1. / (self.ippSeconds * self.nCohInt) |
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265 | 265 | |
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266 | 266 | fmax = PRF |
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267 | 267 | return fmax |
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268 | 268 | |
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269 | 269 | def getVmax(self): |
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270 | 270 | |
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271 | 271 | _lambda = self.C / self.frequency |
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272 | 272 | |
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273 | 273 | vmax = self.getFmax() * _lambda / 2 |
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274 | 274 | |
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275 | 275 | return vmax |
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276 | 276 | |
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277 | 277 | def get_ippSeconds(self): |
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278 | 278 | ''' |
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279 | 279 | ''' |
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280 | 280 | return self.radarControllerHeaderObj.ippSeconds |
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281 | 281 | |
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282 | 282 | def set_ippSeconds(self, ippSeconds): |
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283 | 283 | ''' |
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284 | 284 | ''' |
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285 | 285 | |
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286 | 286 | self.radarControllerHeaderObj.ippSeconds = ippSeconds |
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287 | 287 | |
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288 | 288 | return |
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289 | 289 | |
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290 | 290 | def get_dtype(self): |
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291 | 291 | ''' |
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292 | 292 | ''' |
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293 | 293 | return getNumpyDtype(self.datatype) |
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294 | 294 | |
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295 | 295 | def set_dtype(self, numpyDtype): |
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296 | 296 | ''' |
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297 | 297 | ''' |
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298 | 298 | |
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299 | 299 | self.datatype = getDataTypeCode(numpyDtype) |
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300 | 300 | |
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301 | 301 | def get_code(self): |
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302 | 302 | ''' |
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303 | 303 | ''' |
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304 | 304 | return self.radarControllerHeaderObj.code |
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305 | 305 | |
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306 | 306 | def set_code(self, code): |
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307 | 307 | ''' |
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308 | 308 | ''' |
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309 | 309 | self.radarControllerHeaderObj.code = code |
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310 | 310 | |
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311 | 311 | return |
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312 | 312 | |
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313 | 313 | def get_ncode(self): |
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314 | 314 | ''' |
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315 | 315 | ''' |
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316 | 316 | return self.radarControllerHeaderObj.nCode |
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317 | 317 | |
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318 | 318 | def set_ncode(self, nCode): |
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319 | 319 | ''' |
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320 | 320 | ''' |
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321 | 321 | self.radarControllerHeaderObj.nCode = nCode |
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322 | 322 | |
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323 | 323 | return |
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324 | 324 | |
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325 | 325 | def get_nbaud(self): |
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326 | 326 | ''' |
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327 | 327 | ''' |
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328 | 328 | return self.radarControllerHeaderObj.nBaud |
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329 | 329 | |
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330 | 330 | def set_nbaud(self, nBaud): |
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331 | 331 | ''' |
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332 | 332 | ''' |
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333 | 333 | self.radarControllerHeaderObj.nBaud = nBaud |
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334 | 334 | |
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335 | 335 | return |
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336 | 336 | |
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337 | 337 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
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338 | 338 | channelIndexList = property( |
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339 | 339 | getChannelIndexList, "I'm the 'channelIndexList' property.") |
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340 | 340 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
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341 | 341 | #noise = property(getNoise, "I'm the 'nHeights' property.") |
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342 | 342 | datatime = property(getDatatime, "I'm the 'datatime' property") |
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343 | 343 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
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344 | 344 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
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345 | 345 | dtype = property(get_dtype, set_dtype) |
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346 | 346 | # timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
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347 | 347 | code = property(get_code, set_code) |
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348 | 348 | nCode = property(get_ncode, set_ncode) |
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349 | 349 | nBaud = property(get_nbaud, set_nbaud) |
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350 | 350 | |
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351 | 351 | |
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352 | 352 | class Voltage(JROData): |
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353 | 353 | |
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354 | 354 | # data es un numpy array de 2 dmensiones (canales, alturas) |
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355 | 355 | data = None |
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356 | 356 | |
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357 | 357 | def __init__(self): |
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358 | 358 | ''' |
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359 | 359 | Constructor |
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360 | 360 | ''' |
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361 | 361 | |
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362 | 362 | self.useLocalTime = True |
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363 | 363 | self.radarControllerHeaderObj = RadarControllerHeader() |
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364 | 364 | self.systemHeaderObj = SystemHeader() |
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365 | 365 | self.type = "Voltage" |
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366 | 366 | self.data = None |
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367 | 367 | # self.dtype = None |
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368 | 368 | # self.nChannels = 0 |
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369 | 369 | # self.nHeights = 0 |
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370 | 370 | self.nProfiles = None |
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371 | 371 | self.heightList = None |
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372 | 372 | self.channelList = None |
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373 | 373 | # self.channelIndexList = None |
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374 | 374 | self.flagNoData = True |
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375 | 375 | self.flagDiscontinuousBlock = False |
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376 | 376 | self.utctime = None |
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377 | 377 | self.timeZone = None |
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378 | 378 | self.dstFlag = None |
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379 | 379 | self.errorCount = None |
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380 | 380 | self.nCohInt = None |
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381 | 381 | self.blocksize = None |
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382 | 382 | self.flagDecodeData = False # asumo q la data no esta decodificada |
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383 | 383 | self.flagDeflipData = False # asumo q la data no esta sin flip |
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384 | 384 | self.flagShiftFFT = False |
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385 | 385 | self.flagDataAsBlock = False # Asumo que la data es leida perfil a perfil |
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386 | 386 | self.profileIndex = 0 |
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387 | 387 | |
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388 | 388 | def getNoisebyHildebrand(self, channel=None): |
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389 | 389 | """ |
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390 | 390 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
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391 | 391 | |
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392 | 392 | Return: |
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393 | 393 | noiselevel |
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394 | 394 | """ |
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395 | 395 | |
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396 | 396 | if channel != None: |
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397 | 397 | data = self.data[channel] |
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398 | 398 | nChannels = 1 |
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399 | 399 | else: |
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400 | 400 | data = self.data |
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401 | 401 | nChannels = self.nChannels |
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402 | 402 | |
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403 | 403 | noise = numpy.zeros(nChannels) |
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404 | 404 | power = data * numpy.conjugate(data) |
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405 | 405 | |
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406 | 406 | for thisChannel in range(nChannels): |
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407 | 407 | if nChannels == 1: |
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408 | 408 | daux = power[:].real |
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409 | 409 | else: |
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410 | 410 | daux = power[thisChannel, :].real |
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411 | 411 | noise[thisChannel] = hildebrand_sekhon(daux, self.nCohInt) |
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412 | 412 | |
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413 | 413 | return noise |
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414 | 414 | |
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415 | 415 | def getNoise(self, type=1, channel=None): |
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416 | 416 | |
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417 | 417 | if type == 1: |
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418 | 418 | noise = self.getNoisebyHildebrand(channel) |
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419 | 419 | |
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420 | 420 | return noise |
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421 | 421 | |
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422 | 422 | def getPower(self, channel=None): |
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423 | 423 | |
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424 | 424 | if channel != None: |
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425 | 425 | data = self.data[channel] |
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426 | 426 | else: |
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427 | 427 | data = self.data |
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428 | 428 | |
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429 | 429 | power = data * numpy.conjugate(data) |
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430 | 430 | powerdB = 10 * numpy.log10(power.real) |
|
|
431 | 431 | powerdB = numpy.squeeze(powerdB) |
|
|
432 | 432 | |
|
|
433 | 433 | return powerdB |
|
|
434 | 434 | |
|
|
435 | 435 | def getTimeInterval(self): |
|
|
436 | 436 | |
|
|
437 | 437 | timeInterval = self.ippSeconds * self.nCohInt |
|
|
438 | 438 | |
|
|
439 | 439 | return timeInterval |
|
|
440 | 440 | |
|
|
441 | 441 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
442 | 442 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
443 | 443 | |
|
|
444 | 444 | |
|
|
445 | 445 | class Spectra(JROData): |
|
|
446 | 446 | |
|
|
447 | 447 | # data spc es un numpy array de 2 dmensiones (canales, perfiles, alturas) |
|
|
448 | 448 | data_spc = None |
|
|
449 | 449 | # data cspc es un numpy array de 2 dmensiones (canales, pares, alturas) |
|
|
450 | 450 | data_cspc = None |
|
|
451 | 451 | # data dc es un numpy array de 2 dmensiones (canales, alturas) |
|
|
452 | 452 | data_dc = None |
|
|
453 | 453 | # data power |
|
|
454 | 454 | data_pwr = None |
|
|
455 | 455 | nFFTPoints = None |
|
|
456 | 456 | # nPairs = None |
|
|
457 | 457 | pairsList = None |
|
|
458 | 458 | nIncohInt = None |
|
|
459 | 459 | wavelength = None # Necesario para cacular el rango de velocidad desde la frecuencia |
|
|
460 | 460 | nCohInt = None # se requiere para determinar el valor de timeInterval |
|
|
461 | 461 | ippFactor = None |
|
|
462 | 462 | profileIndex = 0 |
|
|
463 | 463 | plotting = "spectra" |
|
|
464 | 464 | |
|
|
465 | 465 | def __init__(self): |
|
|
466 | 466 | ''' |
|
|
467 | 467 | Constructor |
|
|
468 | 468 | ''' |
|
|
469 | 469 | |
|
|
470 | 470 | self.useLocalTime = True |
|
|
471 | 471 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
472 | 472 | self.systemHeaderObj = SystemHeader() |
|
|
473 | 473 | self.type = "Spectra" |
|
|
474 | 474 | # self.data = None |
|
|
475 | 475 | # self.dtype = None |
|
|
476 | 476 | # self.nChannels = 0 |
|
|
477 | 477 | # self.nHeights = 0 |
|
|
478 | 478 | self.nProfiles = None |
|
|
479 | 479 | self.heightList = None |
|
|
480 | 480 | self.channelList = None |
|
|
481 | 481 | # self.channelIndexList = None |
|
|
482 | 482 | self.pairsList = None |
|
|
483 | 483 | self.flagNoData = True |
|
|
484 | 484 | self.flagDiscontinuousBlock = False |
|
|
485 | 485 | self.utctime = None |
|
|
486 | 486 | self.nCohInt = None |
|
|
487 | 487 | self.nIncohInt = None |
|
|
488 | 488 | self.blocksize = None |
|
|
489 | 489 | self.nFFTPoints = None |
|
|
490 | 490 | self.wavelength = None |
|
|
491 | 491 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
492 | 492 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
493 | 493 | self.flagShiftFFT = False |
|
|
494 | 494 | self.ippFactor = 1 |
|
|
495 | 495 | #self.noise = None |
|
|
496 | 496 | self.beacon_heiIndexList = [] |
|
|
497 | 497 | self.noise_estimation = None |
|
|
498 | 498 | |
|
|
499 | 499 | def getNoisebyHildebrand(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
500 | 500 | """ |
|
|
501 | 501 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
502 | 502 | |
|
|
503 | 503 | Return: |
|
|
504 | 504 | noiselevel |
|
|
505 | 505 | """ |
|
|
506 | 506 | |
|
|
507 | 507 | noise = numpy.zeros(self.nChannels) |
|
|
508 | 508 | |
|
|
509 | 509 | for channel in range(self.nChannels): |
|
|
510 | 510 | daux = self.data_spc[channel, |
|
|
511 | 511 | xmin_index:xmax_index, ymin_index:ymax_index] |
|
|
512 | 512 | noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) |
|
|
513 | 513 | |
|
|
514 | 514 | return noise |
|
|
515 | 515 | |
|
|
516 | 516 | def getNoise(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
517 | 517 | |
|
|
518 | 518 | if self.noise_estimation is not None: |
|
|
519 | 519 | # this was estimated by getNoise Operation defined in jroproc_spectra.py |
|
|
520 | 520 | return self.noise_estimation |
|
|
521 | 521 | else: |
|
|
522 | 522 | noise = self.getNoisebyHildebrand( |
|
|
523 | 523 | xmin_index, xmax_index, ymin_index, ymax_index) |
|
|
524 | 524 | return noise |
|
|
525 | 525 | |
|
|
526 | 526 | def getFreqRangeTimeResponse(self, extrapoints=0): |
|
|
527 | 527 | |
|
|
528 | 528 | deltafreq = self.getFmaxTimeResponse() / (self.nFFTPoints * self.ippFactor) |
|
|
529 | 529 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) -self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
530 | 530 | |
|
|
531 | 531 | return freqrange |
|
|
532 | 532 | |
|
|
533 | 533 | def getAcfRange(self, extrapoints=0): |
|
|
534 | 534 | |
|
|
535 | 535 | deltafreq = 10. / (self.getFmax() / (self.nFFTPoints * self.ippFactor)) |
|
|
536 | 536 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) -self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
537 | 537 | |
|
|
538 | 538 | return freqrange |
|
|
539 | 539 | |
|
|
540 | 540 | def getFreqRange(self, extrapoints=0): |
|
|
541 | 541 | |
|
|
542 | 542 | deltafreq = self.getFmax() / (self.nFFTPoints * self.ippFactor) |
|
|
543 | 543 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) -self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
544 | 544 | |
|
|
545 | 545 | return freqrange |
|
|
546 | 546 | |
|
|
547 | 547 | def getVelRange(self, extrapoints=0): |
|
|
548 | 548 | |
|
|
549 | 549 | deltav = self.getVmax() / (self.nFFTPoints * self.ippFactor) |
|
|
550 | 550 | velrange = deltav * (numpy.arange(self.nFFTPoints + extrapoints) - self.nFFTPoints / 2.) |
|
|
551 | 551 | |
|
|
552 | 552 | if self.nmodes: |
|
|
553 | 553 | return velrange/self.nmodes |
|
|
554 | 554 | else: |
|
|
555 | 555 | return velrange |
|
|
556 | 556 | |
|
|
557 | 557 | def getNPairs(self): |
|
|
558 | 558 | |
|
|
559 | 559 | return len(self.pairsList) |
|
|
560 | 560 | |
|
|
561 | 561 | def getPairsIndexList(self): |
|
|
562 | 562 | |
|
|
563 | 563 | return list(range(self.nPairs)) |
|
|
564 | 564 | |
|
|
565 | 565 | def getNormFactor(self): |
|
|
566 | 566 | |
|
|
567 | 567 | pwcode = 1 |
|
|
568 | 568 | |
|
|
569 | 569 | if self.flagDecodeData: |
|
|
570 | 570 | pwcode = numpy.sum(self.code[0]**2) |
|
|
571 | 571 | #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
|
572 | 572 | normFactor = self.nProfiles * self.nIncohInt * self.nCohInt * pwcode * self.windowOfFilter |
|
|
573 | 573 | |
|
|
574 | 574 | return normFactor |
|
|
575 | 575 | |
|
|
576 | 576 | def getFlagCspc(self): |
|
|
577 | 577 | |
|
|
578 | 578 | if self.data_cspc is None: |
|
|
579 | 579 | return True |
|
|
580 | 580 | |
|
|
581 | 581 | return False |
|
|
582 | 582 | |
|
|
583 | 583 | def getFlagDc(self): |
|
|
584 | 584 | |
|
|
585 | 585 | if self.data_dc is None: |
|
|
586 | 586 | return True |
|
|
587 | 587 | |
|
|
588 | 588 | return False |
|
|
589 | 589 | |
|
|
590 | 590 | def getTimeInterval(self): |
|
|
591 | 591 | |
|
|
592 | 592 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt * self.nProfiles * self.ippFactor |
|
|
593 | 593 | if self.nmodes: |
|
|
594 | 594 | return self.nmodes*timeInterval |
|
|
595 | 595 | else: |
|
|
596 | 596 | return timeInterval |
|
|
597 | 597 | |
|
|
598 | 598 | def getPower(self): |
|
|
599 | 599 | |
|
|
600 | 600 | factor = self.normFactor |
|
|
601 | 601 | z = self.data_spc / factor |
|
|
602 | 602 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
603 | 603 | avg = numpy.average(z, axis=1) |
|
|
604 | 604 | |
|
|
605 | 605 | return 10 * numpy.log10(avg) |
|
|
606 | 606 | |
|
|
607 | 607 | def getCoherence(self, pairsList=None, phase=False): |
|
|
608 | 608 | |
|
|
609 | 609 | z = [] |
|
|
610 | 610 | if pairsList is None: |
|
|
611 | 611 | pairsIndexList = self.pairsIndexList |
|
|
612 | 612 | else: |
|
|
613 | 613 | pairsIndexList = [] |
|
|
614 | 614 | for pair in pairsList: |
|
|
615 | 615 | if pair not in self.pairsList: |
|
|
616 | 616 | raise ValueError("Pair %s is not in dataOut.pairsList" % ( |
|
|
617 | 617 | pair)) |
|
|
618 | 618 | pairsIndexList.append(self.pairsList.index(pair)) |
|
|
619 | 619 | for i in range(len(pairsIndexList)): |
|
|
620 | 620 | pair = self.pairsList[pairsIndexList[i]] |
|
|
621 | 621 | ccf = numpy.average(self.data_cspc[pairsIndexList[i], :, :], axis=0) |
|
|
622 | 622 | powa = numpy.average(self.data_spc[pair[0], :, :], axis=0) |
|
|
623 | 623 | powb = numpy.average(self.data_spc[pair[1], :, :], axis=0) |
|
|
624 | 624 | avgcoherenceComplex = ccf / numpy.sqrt(powa * powb) |
|
|
625 | 625 | if phase: |
|
|
626 | 626 | data = numpy.arctan2(avgcoherenceComplex.imag, |
|
|
627 | 627 | avgcoherenceComplex.real) * 180 / numpy.pi |
|
|
628 | 628 | else: |
|
|
629 | 629 | data = numpy.abs(avgcoherenceComplex) |
|
|
630 | 630 | |
|
|
631 | 631 | z.append(data) |
|
|
632 | 632 | |
|
|
633 | 633 | return numpy.array(z) |
|
|
634 | 634 | |
|
|
635 | 635 | def setValue(self, value): |
|
|
636 | 636 | |
|
|
637 | 637 | print("This property should not be initialized") |
|
|
638 | 638 | |
|
|
639 | 639 | return |
|
|
640 | 640 | |
|
|
641 | 641 | nPairs = property(getNPairs, setValue, "I'm the 'nPairs' property.") |
|
|
642 | 642 | pairsIndexList = property( |
|
|
643 | 643 | getPairsIndexList, setValue, "I'm the 'pairsIndexList' property.") |
|
|
644 | 644 | normFactor = property(getNormFactor, setValue, |
|
|
645 | 645 | "I'm the 'getNormFactor' property.") |
|
|
646 | 646 | flag_cspc = property(getFlagCspc, setValue) |
|
|
647 | 647 | flag_dc = property(getFlagDc, setValue) |
|
|
648 | 648 | noise = property(getNoise, setValue, "I'm the 'nHeights' property.") |
|
|
649 | 649 | timeInterval = property(getTimeInterval, setValue, |
|
|
650 | 650 | "I'm the 'timeInterval' property") |
|
|
651 | 651 | |
|
|
652 | 652 | |
|
|
653 | 653 | class SpectraHeis(Spectra): |
|
|
654 | 654 | |
|
|
655 | 655 | data_spc = None |
|
|
656 | 656 | data_cspc = None |
|
|
657 | 657 | data_dc = None |
|
|
658 | 658 | nFFTPoints = None |
|
|
659 | 659 | # nPairs = None |
|
|
660 | 660 | pairsList = None |
|
|
661 | 661 | nCohInt = None |
|
|
662 | 662 | nIncohInt = None |
|
|
663 | 663 | |
|
|
664 | 664 | def __init__(self): |
|
|
665 | 665 | |
|
|
666 | 666 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
667 | 667 | |
|
|
668 | 668 | self.systemHeaderObj = SystemHeader() |
|
|
669 | 669 | |
|
|
670 | 670 | self.type = "SpectraHeis" |
|
|
671 | 671 | |
|
|
672 | 672 | # self.dtype = None |
|
|
673 | 673 | |
|
|
674 | 674 | # self.nChannels = 0 |
|
|
675 | 675 | |
|
|
676 | 676 | # self.nHeights = 0 |
|
|
677 | 677 | |
|
|
678 | 678 | self.nProfiles = None |
|
|
679 | 679 | |
|
|
680 | 680 | self.heightList = None |
|
|
681 | 681 | |
|
|
682 | 682 | self.channelList = None |
|
|
683 | 683 | |
|
|
684 | 684 | # self.channelIndexList = None |
|
|
685 | 685 | |
|
|
686 | 686 | self.flagNoData = True |
|
|
687 | 687 | |
|
|
688 | 688 | self.flagDiscontinuousBlock = False |
|
|
689 | 689 | |
|
|
690 | 690 | # self.nPairs = 0 |
|
|
691 | 691 | |
|
|
692 | 692 | self.utctime = None |
|
|
693 | 693 | |
|
|
694 | 694 | self.blocksize = None |
|
|
695 | 695 | |
|
|
696 | 696 | self.profileIndex = 0 |
|
|
697 | 697 | |
|
|
698 | 698 | self.nCohInt = 1 |
|
|
699 | 699 | |
|
|
700 | 700 | self.nIncohInt = 1 |
|
|
701 | 701 | |
|
|
702 | 702 | def getNormFactor(self): |
|
|
703 | 703 | pwcode = 1 |
|
|
704 | 704 | if self.flagDecodeData: |
|
|
705 | 705 | pwcode = numpy.sum(self.code[0]**2) |
|
|
706 | 706 | |
|
|
707 | 707 | normFactor = self.nIncohInt * self.nCohInt * pwcode |
|
|
708 | 708 | |
|
|
709 | 709 | return normFactor |
|
|
710 | 710 | |
|
|
711 | 711 | def getTimeInterval(self): |
|
|
712 | 712 | |
|
|
713 | 713 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
714 | 714 | |
|
|
715 | 715 | return timeInterval |
|
|
716 | 716 | |
|
|
717 | 717 | normFactor = property(getNormFactor, "I'm the 'getNormFactor' property.") |
|
|
718 | 718 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
719 | 719 | |
|
|
720 | 720 | |
|
|
721 | 721 | class Fits(JROData): |
|
|
722 | 722 | |
|
|
723 | 723 | heightList = None |
|
|
724 | 724 | channelList = None |
|
|
725 | 725 | flagNoData = True |
|
|
726 | 726 | flagDiscontinuousBlock = False |
|
|
727 | 727 | useLocalTime = False |
|
|
728 | 728 | utctime = None |
|
|
729 | 729 | timeZone = None |
|
|
730 | 730 | # ippSeconds = None |
|
|
731 | 731 | # timeInterval = None |
|
|
732 | 732 | nCohInt = None |
|
|
733 | 733 | nIncohInt = None |
|
|
734 | 734 | noise = None |
|
|
735 | 735 | windowOfFilter = 1 |
|
|
736 | 736 | # Speed of ligth |
|
|
737 | 737 | C = 3e8 |
|
|
738 | 738 | frequency = 49.92e6 |
|
|
739 | 739 | realtime = False |
|
|
740 | 740 | |
|
|
741 | 741 | def __init__(self): |
|
|
742 | 742 | |
|
|
743 | 743 | self.type = "Fits" |
|
|
744 | 744 | |
|
|
745 | 745 | self.nProfiles = None |
|
|
746 | 746 | |
|
|
747 | 747 | self.heightList = None |
|
|
748 | 748 | |
|
|
749 | 749 | self.channelList = None |
|
|
750 | 750 | |
|
|
751 | 751 | # self.channelIndexList = None |
|
|
752 | 752 | |
|
|
753 | 753 | self.flagNoData = True |
|
|
754 | 754 | |
|
|
755 | 755 | self.utctime = None |
|
|
756 | 756 | |
|
|
757 | 757 | self.nCohInt = 1 |
|
|
758 | 758 | |
|
|
759 | 759 | self.nIncohInt = 1 |
|
|
760 | 760 | |
|
|
761 | 761 | self.useLocalTime = True |
|
|
762 | 762 | |
|
|
763 | 763 | self.profileIndex = 0 |
|
|
764 | 764 | |
|
|
765 | 765 | # self.utctime = None |
|
|
766 | 766 | # self.timeZone = None |
|
|
767 | 767 | # self.ltctime = None |
|
|
768 | 768 | # self.timeInterval = None |
|
|
769 | 769 | # self.header = None |
|
|
770 | 770 | # self.data_header = None |
|
|
771 | 771 | # self.data = None |
|
|
772 | 772 | # self.datatime = None |
|
|
773 | 773 | # self.flagNoData = False |
|
|
774 | 774 | # self.expName = '' |
|
|
775 | 775 | # self.nChannels = None |
|
|
776 | 776 | # self.nSamples = None |
|
|
777 | 777 | # self.dataBlocksPerFile = None |
|
|
778 | 778 | # self.comments = '' |
|
|
779 | 779 | # |
|
|
780 | 780 | |
|
|
781 | 781 | def getltctime(self): |
|
|
782 | 782 | |
|
|
783 | 783 | if self.useLocalTime: |
|
|
784 | 784 | return self.utctime - self.timeZone * 60 |
|
|
785 | 785 | |
|
|
786 | 786 | return self.utctime |
|
|
787 | 787 | |
|
|
788 | 788 | def getDatatime(self): |
|
|
789 | 789 | |
|
|
790 | 790 | datatime = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|
791 | 791 | return datatime |
|
|
792 | 792 | |
|
|
793 | 793 | def getTimeRange(self): |
|
|
794 | 794 | |
|
|
795 | 795 | datatime = [] |
|
|
796 | 796 | |
|
|
797 | 797 | datatime.append(self.ltctime) |
|
|
798 | 798 | datatime.append(self.ltctime + self.timeInterval) |
|
|
799 | 799 | |
|
|
800 | 800 | datatime = numpy.array(datatime) |
|
|
801 | 801 | |
|
|
802 | 802 | return datatime |
|
|
803 | 803 | |
|
|
804 | 804 | def getHeiRange(self): |
|
|
805 | 805 | |
|
|
806 | 806 | heis = self.heightList |
|
|
807 | 807 | |
|
|
808 | 808 | return heis |
|
|
809 | 809 | |
|
|
810 | 810 | def getNHeights(self): |
|
|
811 | 811 | |
|
|
812 | 812 | return len(self.heightList) |
|
|
813 | 813 | |
|
|
814 | 814 | def getNChannels(self): |
|
|
815 | 815 | |
|
|
816 | 816 | return len(self.channelList) |
|
|
817 | 817 | |
|
|
818 | 818 | def getChannelIndexList(self): |
|
|
819 | 819 | |
|
|
820 | 820 | return list(range(self.nChannels)) |
|
|
821 | 821 | |
|
|
822 | 822 | def getNoise(self, type=1): |
|
|
823 | 823 | |
|
|
824 | 824 | #noise = numpy.zeros(self.nChannels) |
|
|
825 | 825 | |
|
|
826 | 826 | if type == 1: |
|
|
827 | 827 | noise = self.getNoisebyHildebrand() |
|
|
828 | 828 | |
|
|
829 | 829 | if type == 2: |
|
|
830 | 830 | noise = self.getNoisebySort() |
|
|
831 | 831 | |
|
|
832 | 832 | if type == 3: |
|
|
833 | 833 | noise = self.getNoisebyWindow() |
|
|
834 | 834 | |
|
|
835 | 835 | return noise |
|
|
836 | 836 | |
|
|
837 | 837 | def getTimeInterval(self): |
|
|
838 | 838 | |
|
|
839 | 839 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
840 | 840 | |
|
|
841 | 841 | return timeInterval |
|
|
842 | 842 | |
|
|
843 | 843 | def get_ippSeconds(self): |
|
|
844 | 844 | ''' |
|
|
845 | 845 | ''' |
|
|
846 | 846 | return self.ipp_sec |
|
|
847 | 847 | |
|
|
848 | 848 | |
|
|
849 | 849 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|
850 | 850 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
|
851 | 851 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|
852 | 852 | channelIndexList = property( |
|
|
853 | 853 | getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|
854 | 854 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
855 | 855 | |
|
|
856 | 856 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|
857 | 857 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
858 | 858 | ippSeconds = property(get_ippSeconds, '') |
|
|
859 | 859 | |
|
|
860 | 860 | class Correlation(JROData): |
|
|
861 | 861 | |
|
|
862 | 862 | noise = None |
|
|
863 | 863 | SNR = None |
|
|
864 | 864 | #-------------------------------------------------- |
|
|
865 | 865 | mode = None |
|
|
866 | 866 | split = False |
|
|
867 | 867 | data_cf = None |
|
|
868 | 868 | lags = None |
|
|
869 | 869 | lagRange = None |
|
|
870 | 870 | pairsList = None |
|
|
871 | 871 | normFactor = None |
|
|
872 | 872 | #-------------------------------------------------- |
|
|
873 | 873 | # calculateVelocity = None |
|
|
874 | 874 | nLags = None |
|
|
875 | 875 | nPairs = None |
|
|
876 | 876 | nAvg = None |
|
|
877 | 877 | |
|
|
878 | 878 | def __init__(self): |
|
|
879 | 879 | ''' |
|
|
880 | 880 | Constructor |
|
|
881 | 881 | ''' |
|
|
882 | 882 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
883 | 883 | |
|
|
884 | 884 | self.systemHeaderObj = SystemHeader() |
|
|
885 | 885 | |
|
|
886 | 886 | self.type = "Correlation" |
|
|
887 | 887 | |
|
|
888 | 888 | self.data = None |
|
|
889 | 889 | |
|
|
890 | 890 | self.dtype = None |
|
|
891 | 891 | |
|
|
892 | 892 | self.nProfiles = None |
|
|
893 | 893 | |
|
|
894 | 894 | self.heightList = None |
|
|
895 | 895 | |
|
|
896 | 896 | self.channelList = None |
|
|
897 | 897 | |
|
|
898 | 898 | self.flagNoData = True |
|
|
899 | 899 | |
|
|
900 | 900 | self.flagDiscontinuousBlock = False |
|
|
901 | 901 | |
|
|
902 | 902 | self.utctime = None |
|
|
903 | 903 | |
|
|
904 | 904 | self.timeZone = None |
|
|
905 | 905 | |
|
|
906 | 906 | self.dstFlag = None |
|
|
907 | 907 | |
|
|
908 | 908 | self.errorCount = None |
|
|
909 | 909 | |
|
|
910 | 910 | self.blocksize = None |
|
|
911 | 911 | |
|
|
912 | 912 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
913 | 913 | |
|
|
914 | 914 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
915 | 915 | |
|
|
916 | 916 | self.pairsList = None |
|
|
917 | 917 | |
|
|
918 | 918 | self.nPoints = None |
|
|
919 | 919 | |
|
|
920 | 920 | def getPairsList(self): |
|
|
921 | 921 | |
|
|
922 | 922 | return self.pairsList |
|
|
923 | 923 | |
|
|
924 | 924 | def getNoise(self, mode=2): |
|
|
925 | 925 | |
|
|
926 | 926 | indR = numpy.where(self.lagR == 0)[0][0] |
|
|
927 | 927 | indT = numpy.where(self.lagT == 0)[0][0] |
|
|
928 | 928 | |
|
|
929 | 929 | jspectra0 = self.data_corr[:, :, indR, :] |
|
|
930 | 930 | jspectra = copy.copy(jspectra0) |
|
|
931 | 931 | |
|
|
932 | 932 | num_chan = jspectra.shape[0] |
|
|
933 | 933 | num_hei = jspectra.shape[2] |
|
|
934 | 934 | |
|
|
935 | 935 | freq_dc = jspectra.shape[1] / 2 |
|
|
936 | 936 | ind_vel = numpy.array([-2, -1, 1, 2]) + freq_dc |
|
|
937 | 937 | |
|
|
938 | 938 | if ind_vel[0] < 0: |
|
|
939 | 939 | ind_vel[list(range(0, 1))] = ind_vel[list( |
|
|
940 | 940 | range(0, 1))] + self.num_prof |
|
|
941 | 941 | |
|
|
942 | 942 | if mode == 1: |
|
|
943 | 943 | jspectra[:, freq_dc, :] = ( |
|
|
944 | 944 | jspectra[:, ind_vel[1], :] + jspectra[:, ind_vel[2], :]) / 2 # CORRECCION |
|
|
945 | 945 | |
|
|
946 | 946 | if mode == 2: |
|
|
947 | 947 | |
|
|
948 | 948 | vel = numpy.array([-2, -1, 1, 2]) |
|
|
949 | 949 | xx = numpy.zeros([4, 4]) |
|
|
950 | 950 | |
|
|
951 | 951 | for fil in range(4): |
|
|
952 | 952 | xx[fil, :] = vel[fil]**numpy.asarray(list(range(4))) |
|
|
953 | 953 | |
|
|
954 | 954 | xx_inv = numpy.linalg.inv(xx) |
|
|
955 | 955 | xx_aux = xx_inv[0, :] |
|
|
956 | 956 | |
|
|
957 | 957 | for ich in range(num_chan): |
|
|
958 | 958 | yy = jspectra[ich, ind_vel, :] |
|
|
959 | 959 | jspectra[ich, freq_dc, :] = numpy.dot(xx_aux, yy) |
|
|
960 | 960 | |
|
|
961 | 961 | junkid = jspectra[ich, freq_dc, :] <= 0 |
|
|
962 | 962 | cjunkid = sum(junkid) |
|
|
963 | 963 | |
|
|
964 | 964 | if cjunkid.any(): |
|
|
965 | 965 | jspectra[ich, freq_dc, junkid.nonzero()] = ( |
|
|
966 | 966 | jspectra[ich, ind_vel[1], junkid] + jspectra[ich, ind_vel[2], junkid]) / 2 |
|
|
967 | 967 | |
|
|
968 | 968 | noise = jspectra0[:, freq_dc, :] - jspectra[:, freq_dc, :] |
|
|
969 | 969 | |
|
|
970 | 970 | return noise |
|
|
971 | 971 | |
|
|
972 | 972 | def getTimeInterval(self): |
|
|
973 | 973 | |
|
|
974 | 974 | timeInterval = self.ippSeconds * self.nCohInt * self.nProfiles |
|
|
975 | 975 | |
|
|
976 | 976 | return timeInterval |
|
|
977 | 977 | |
|
|
978 | 978 | def splitFunctions(self): |
|
|
979 | 979 | |
|
|
980 | 980 | pairsList = self.pairsList |
|
|
981 | 981 | ccf_pairs = [] |
|
|
982 | 982 | acf_pairs = [] |
|
|
983 | 983 | ccf_ind = [] |
|
|
984 | 984 | acf_ind = [] |
|
|
985 | 985 | for l in range(len(pairsList)): |
|
|
986 | 986 | chan0 = pairsList[l][0] |
|
|
987 | 987 | chan1 = pairsList[l][1] |
|
|
988 | 988 | |
|
|
989 | 989 | # Obteniendo pares de Autocorrelacion |
|
|
990 | 990 | if chan0 == chan1: |
|
|
991 | 991 | acf_pairs.append(chan0) |
|
|
992 | 992 | acf_ind.append(l) |
|
|
993 | 993 | else: |
|
|
994 | 994 | ccf_pairs.append(pairsList[l]) |
|
|
995 | 995 | ccf_ind.append(l) |
|
|
996 | 996 | |
|
|
997 | 997 | data_acf = self.data_cf[acf_ind] |
|
|
998 | 998 | data_ccf = self.data_cf[ccf_ind] |
|
|
999 | 999 | |
|
|
1000 | 1000 | return acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf |
|
|
1001 | 1001 | |
|
|
1002 | 1002 | def getNormFactor(self): |
|
|
1003 | 1003 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.splitFunctions() |
|
|
1004 | 1004 | acf_pairs = numpy.array(acf_pairs) |
|
|
1005 | 1005 | normFactor = numpy.zeros((self.nPairs, self.nHeights)) |
|
|
1006 | 1006 | |
|
|
1007 | 1007 | for p in range(self.nPairs): |
|
|
1008 | 1008 | pair = self.pairsList[p] |
|
|
1009 | 1009 | |
|
|
1010 | 1010 | ch0 = pair[0] |
|
|
1011 | 1011 | ch1 = pair[1] |
|
|
1012 | 1012 | |
|
|
1013 | 1013 | ch0_max = numpy.max(data_acf[acf_pairs == ch0, :, :], axis=1) |
|
|
1014 | 1014 | ch1_max = numpy.max(data_acf[acf_pairs == ch1, :, :], axis=1) |
|
|
1015 | 1015 | normFactor[p, :] = numpy.sqrt(ch0_max * ch1_max) |
|
|
1016 | 1016 | |
|
|
1017 | 1017 | return normFactor |
|
|
1018 | 1018 | |
|
|
1019 | 1019 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
1020 | 1020 | normFactor = property(getNormFactor, "I'm the 'normFactor property'") |
|
|
1021 | 1021 | |
|
|
1022 | 1022 | |
|
|
1023 | 1023 | class Parameters(Spectra): |
|
|
1024 | 1024 | |
|
|
1025 | 1025 | experimentInfo = None # Information about the experiment |
|
|
1026 | 1026 | # Information from previous data |
|
|
1027 | 1027 | inputUnit = None # Type of data to be processed |
|
|
1028 | 1028 | operation = None # Type of operation to parametrize |
|
|
1029 | 1029 | # normFactor = None #Normalization Factor |
|
|
1030 | 1030 | groupList = None # List of Pairs, Groups, etc |
|
|
1031 | 1031 | # Parameters |
|
|
1032 | 1032 | data_param = None # Parameters obtained |
|
|
1033 | 1033 | data_pre = None # Data Pre Parametrization |
|
|
1034 | 1034 | data_SNR = None # Signal to Noise Ratio |
|
|
1035 | 1035 | # heightRange = None #Heights |
|
|
1036 | 1036 | abscissaList = None # Abscissa, can be velocities, lags or time |
|
|
1037 | 1037 | # noise = None #Noise Potency |
|
|
1038 | 1038 | utctimeInit = None # Initial UTC time |
|
|
1039 | 1039 | paramInterval = None # Time interval to calculate Parameters in seconds |
|
|
1040 | 1040 | useLocalTime = True |
|
|
1041 | 1041 | # Fitting |
|
|
1042 | 1042 | data_error = None # Error of the estimation |
|
|
1043 | 1043 | constants = None |
|
|
1044 | 1044 | library = None |
|
|
1045 | 1045 | # Output signal |
|
|
1046 | 1046 | outputInterval = None # Time interval to calculate output signal in seconds |
|
|
1047 | 1047 | data_output = None # Out signal |
|
|
1048 | 1048 | nAvg = None |
|
|
1049 | 1049 | noise_estimation = None |
|
|
1050 | 1050 | GauSPC = None # Fit gaussian SPC |
|
|
1051 | 1051 | |
|
|
1052 | 1052 | def __init__(self): |
|
|
1053 | 1053 | ''' |
|
|
1054 | 1054 | Constructor |
|
|
1055 | 1055 | ''' |
|
|
1056 | 1056 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1057 | 1057 | |
|
|
1058 | 1058 | self.systemHeaderObj = SystemHeader() |
|
|
1059 | 1059 | |
|
|
1060 | 1060 | self.type = "Parameters" |
|
|
1061 | 1061 | |
|
|
1062 | 1062 | def getTimeRange1(self, interval): |
|
|
1063 | 1063 | |
|
|
1064 | 1064 | datatime = [] |
|
|
1065 | 1065 | |
|
|
1066 | 1066 | if self.useLocalTime: |
|
|
1067 | 1067 | time1 = self.utctimeInit - self.timeZone * 60 |
|
|
1068 | 1068 | else: |
|
|
1069 | 1069 | time1 = self.utctimeInit |
|
|
1070 | 1070 | |
|
|
1071 | 1071 | datatime.append(time1) |
|
|
1072 | 1072 | datatime.append(time1 + interval) |
|
|
1073 | 1073 | datatime = numpy.array(datatime) |
|
|
1074 | 1074 | |
|
|
1075 | 1075 | return datatime |
|
|
1076 | 1076 | |
|
|
1077 | 1077 | def getTimeInterval(self): |
|
|
1078 | 1078 | |
|
|
1079 | 1079 | if hasattr(self, 'timeInterval1'): |
|
|
1080 | 1080 | return self.timeInterval1 |
|
|
1081 | 1081 | else: |
|
|
1082 | 1082 | return self.paramInterval |
|
|
1083 | 1083 | |
|
|
1084 | 1084 | def setValue(self, value): |
|
|
1085 | 1085 | |
|
|
1086 | 1086 | print("This property should not be initialized") |
|
|
1087 | 1087 | |
|
|
1088 | 1088 | return |
|
|
1089 | 1089 | |
|
|
1090 | 1090 | def getNoise(self): |
|
|
1091 | 1091 | |
|
|
1092 | 1092 | return self.spc_noise |
|
|
1093 | 1093 | |
|
|
1094 | 1094 | timeInterval = property(getTimeInterval) |
|
|
1095 | 1095 | noise = property(getNoise, setValue, "I'm the 'Noise' property.") |
|
|
1096 | 1096 | |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | class PlotterData(object): |
|
|
1099 | 1099 | ''' |
|
|
1100 | 1100 | Object to hold data to be plotted |
|
|
1101 | 1101 | ''' |
|
|
1102 | 1102 | |
|
|
1103 | 1103 | MAXNUMX = 100 |
|
|
1104 | 1104 | MAXNUMY = 100 |
|
|
1105 | 1105 | |
|
|
1106 | def __init__(self, code, throttle_value, exp_code, buffering=True): | |
|
|
1106 | def __init__(self, code, throttle_value, exp_code, buffering=True, snr=False): | |
|
|
1107 | 1107 | |
|
|
1108 | self.key = code | |
|
|
1108 | 1109 | self.throttle = throttle_value |
|
|
1109 | 1110 | self.exp_code = exp_code |
|
|
1110 | 1111 | self.buffering = buffering |
|
|
1111 | 1112 | self.ready = False |
|
|
1112 | 1113 | self.localtime = False |
|
|
1113 | 1114 | self.data = {} |
|
|
1114 | 1115 | self.meta = {} |
|
|
1115 | 1116 | self.__times = [] |
|
|
1116 | 1117 | self.__heights = [] |
|
|
1117 | 1118 | |
|
|
1118 | 1119 | if 'snr' in code: |
|
|
1119 | 1120 | self.plottypes = ['snr'] |
|
|
1120 | 1121 | elif code == 'spc': |
|
|
1121 | 1122 | self.plottypes = ['spc', 'noise', 'rti'] |
|
|
1122 | 1123 | elif code == 'rti': |
|
|
1123 | 1124 | self.plottypes = ['noise', 'rti'] |
|
|
1124 | 1125 | else: |
|
|
1125 | 1126 | self.plottypes = [code] |
|
|
1126 | ||
|
|
1127 | ||
|
|
1128 | if 'snr' not in self.plottypes and snr: | |
|
|
1129 | self.plottypes.append('snr') | |
|
|
1130 | ||
|
|
1127 | 1131 | for plot in self.plottypes: |
|
|
1128 | 1132 | self.data[plot] = {} |
|
|
1129 | 1133 | |
|
|
1130 | 1134 | def __str__(self): |
|
|
1131 | 1135 | dum = ['{}{}'.format(key, self.shape(key)) for key in self.data] |
|
|
1132 | 1136 | return 'Data[{}][{}]'.format(';'.join(dum), len(self.__times)) |
|
|
1133 | 1137 | |
|
|
1134 | 1138 | def __len__(self): |
|
|
1135 | 1139 | return len(self.__times) |
|
|
1136 | 1140 | |
|
|
1137 | 1141 | def __getitem__(self, key): |
|
|
1138 | 1142 | |
|
|
1139 | 1143 | if key not in self.data: |
|
|
1140 | 1144 | raise KeyError(log.error('Missing key: {}'.format(key))) |
|
|
1141 | 1145 | if 'spc' in key or not self.buffering: |
|
|
1142 | 1146 | ret = self.data[key] |
|
|
1143 | 1147 | elif 'scope' in key: |
|
|
1144 | 1148 | ret = numpy.array(self.data[key][float(self.tm)]) |
|
|
1145 | 1149 | else: |
|
|
1146 | 1150 | ret = numpy.array([self.data[key][x] for x in self.times]) |
|
|
1147 | 1151 | if ret.ndim > 1: |
|
|
1148 | 1152 | ret = numpy.swapaxes(ret, 0, 1) |
|
|
1149 | 1153 | return ret |
|
|
1150 | 1154 | |
|
|
1151 | 1155 | def __contains__(self, key): |
|
|
1152 | 1156 | return key in self.data |
|
|
1153 | 1157 | |
|
|
1154 | 1158 | def setup(self): |
|
|
1155 | 1159 | ''' |
|
|
1156 | 1160 | Configure object |
|
|
1157 | 1161 | ''' |
|
|
1158 | 1162 | |
|
|
1159 | 1163 | self.type = '' |
|
|
1160 | 1164 | self.ready = False |
|
|
1161 | 1165 | self.data = {} |
|
|
1162 | 1166 | self.__times = [] |
|
|
1163 | 1167 | self.__heights = [] |
|
|
1164 | 1168 | self.__all_heights = set() |
|
|
1165 | 1169 | for plot in self.plottypes: |
|
|
1166 | 1170 | if 'snr' in plot: |
|
|
1167 | 1171 | plot = 'snr' |
|
|
1168 | 1172 | elif 'spc_moments' == plot: |
|
|
1169 | 1173 | plot = 'moments' |
|
|
1170 | 1174 | self.data[plot] = {} |
|
|
1171 | 1175 | |
|
|
1172 | 1176 | if 'spc' in self.data or 'rti' in self.data or 'cspc' in self.data or 'moments' in self.data: |
|
|
1173 | 1177 | self.data['noise'] = {} |
|
|
1174 | 1178 | self.data['rti'] = {} |
|
|
1175 | 1179 | if 'noise' not in self.plottypes: |
|
|
1176 | 1180 | self.plottypes.append('noise') |
|
|
1177 | 1181 | if 'rti' not in self.plottypes: |
|
|
1178 | 1182 | self.plottypes.append('rti') |
|
|
1179 | 1183 | |
|
|
1180 | 1184 | def shape(self, key): |
|
|
1181 | 1185 | ''' |
|
|
1182 | 1186 | Get the shape of the one-element data for the given key |
|
|
1183 | 1187 | ''' |
|
|
1184 | 1188 | |
|
|
1185 | 1189 | if len(self.data[key]): |
|
|
1186 | 1190 | if 'spc' in key or not self.buffering: |
|
|
1187 | 1191 | return self.data[key].shape |
|
|
1188 | 1192 | return self.data[key][self.__times[0]].shape |
|
|
1189 | 1193 | return (0,) |
|
|
1190 | 1194 | |
|
|
1191 | 1195 | def update(self, dataOut, tm): |
|
|
1192 | 1196 | ''' |
|
|
1193 | 1197 | Update data object with new dataOut |
|
|
1194 | 1198 | ''' |
|
|
1195 | 1199 | |
|
|
1196 | 1200 | if tm in self.__times: |
|
|
1197 | 1201 | return |
|
|
1198 | 1202 | self.profileIndex = dataOut.profileIndex |
|
|
1199 | 1203 | self.tm = tm |
|
|
1200 | 1204 | self.type = dataOut.type |
|
|
1201 | 1205 | self.parameters = getattr(dataOut, 'parameters', []) |
|
|
1202 | if hasattr(dataOut, 'pairsList'): | |
|
|
1203 | self.pairs = dataOut.pairsList | |
|
|
1204 | 1206 | if hasattr(dataOut, 'meta'): |
|
|
1205 |
self.meta |
|
|
|
1207 | self.meta.update(dataOut.meta) | |
|
|
1206 | 1208 | self.channels = dataOut.channelList |
|
|
1207 | 1209 | self.interval = dataOut.getTimeInterval() |
|
|
1208 | 1210 | self.localtime = dataOut.useLocalTime |
|
|
1209 | 1211 | if 'spc' in self.plottypes or 'cspc' in self.plottypes or 'spc_moments' in self.plottypes: |
|
|
1210 | 1212 | self.xrange = (dataOut.getFreqRange(1)/1000., |
|
|
1211 | 1213 | dataOut.getAcfRange(1), dataOut.getVelRange(1)) |
|
|
1212 | 1214 | self.factor = dataOut.normFactor |
|
|
1213 | 1215 | self.__heights.append(dataOut.heightList) |
|
|
1214 | 1216 | self.__all_heights.update(dataOut.heightList) |
|
|
1215 | 1217 | self.__times.append(tm) |
|
|
1216 | 1218 | |
|
|
1217 | 1219 | for plot in self.plottypes: |
|
|
1218 | 1220 | if plot in ('spc', 'spc_moments'): |
|
|
1219 | 1221 | z = dataOut.data_spc/dataOut.normFactor |
|
|
1220 | 1222 | buffer = 10*numpy.log10(z) |
|
|
1221 | 1223 | if plot == 'cspc': |
|
|
1222 | 1224 | z = dataOut.data_spc/dataOut.normFactor |
|
|
1223 | 1225 | buffer = (dataOut.data_spc, dataOut.data_cspc) |
|
|
1224 | 1226 | if plot == 'noise': |
|
|
1225 | 1227 | buffer = 10*numpy.log10(dataOut.getNoise()/dataOut.normFactor) |
|
|
1226 | 1228 | if plot == 'rti': |
|
|
1227 | 1229 | buffer = dataOut.getPower() |
|
|
1228 | 1230 | if plot == 'snr_db': |
|
|
1229 | 1231 | buffer = dataOut.data_SNR |
|
|
1230 | 1232 | if plot == 'snr': |
|
|
1231 | 1233 | buffer = 10*numpy.log10(dataOut.data_SNR) |
|
|
1232 | 1234 | if plot == 'dop': |
|
|
1233 | 1235 | buffer = 10*numpy.log10(dataOut.data_DOP) |
|
|
1234 | 1236 | if plot == 'mean': |
|
|
1235 | 1237 | buffer = dataOut.data_MEAN |
|
|
1236 | 1238 | if plot == 'std': |
|
|
1237 | 1239 | buffer = dataOut.data_STD |
|
|
1238 | 1240 | if plot == 'coh': |
|
|
1239 | 1241 | buffer = dataOut.getCoherence() |
|
|
1240 | 1242 | if plot == 'phase': |
|
|
1241 | 1243 | buffer = dataOut.getCoherence(phase=True) |
|
|
1242 | 1244 | if plot == 'output': |
|
|
1243 | 1245 | buffer = dataOut.data_output |
|
|
1244 | 1246 | if plot == 'param': |
|
|
1245 | 1247 | buffer = dataOut.data_param |
|
|
1246 | 1248 | if plot == 'scope': |
|
|
1247 | 1249 | buffer = dataOut.data |
|
|
1248 | 1250 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1249 | 1251 | self.nProfiles = dataOut.nProfiles |
|
|
1250 | 1252 | |
|
|
1251 | 1253 | if plot == 'spc': |
|
|
1252 | 1254 | self.data['spc'] = buffer |
|
|
1253 | 1255 | elif plot == 'cspc': |
|
|
1254 | 1256 | self.data['spc'] = buffer[0] |
|
|
1255 | 1257 | self.data['cspc'] = buffer[1] |
|
|
1256 | 1258 | elif plot == 'spc_moments': |
|
|
1257 | 1259 | self.data['spc'] = buffer |
|
|
1258 | 1260 | self.data['moments'][tm] = dataOut.moments |
|
|
1259 | 1261 | else: |
|
|
1260 | 1262 | if self.buffering: |
|
|
1261 | 1263 | self.data[plot][tm] = buffer |
|
|
1262 | 1264 | else: |
|
|
1263 | 1265 | self.data[plot] = buffer |
|
|
1264 | 1266 | |
|
|
1265 | 1267 | def normalize_heights(self): |
|
|
1266 | 1268 | ''' |
|
|
1267 | 1269 | Ensure same-dimension of the data for different heighList |
|
|
1268 | 1270 | ''' |
|
|
1269 | 1271 | |
|
|
1270 | 1272 | H = numpy.array(list(self.__all_heights)) |
|
|
1271 | 1273 | H.sort() |
|
|
1272 | 1274 | for key in self.data: |
|
|
1273 | 1275 | shape = self.shape(key)[:-1] + H.shape |
|
|
1274 | 1276 | for tm, obj in list(self.data[key].items()): |
|
|
1275 | 1277 | h = self.__heights[self.__times.index(tm)] |
|
|
1276 | 1278 | if H.size == h.size: |
|
|
1277 | 1279 | continue |
|
|
1278 | 1280 | index = numpy.where(numpy.in1d(H, h))[0] |
|
|
1279 | 1281 | dummy = numpy.zeros(shape) + numpy.nan |
|
|
1280 | 1282 | if len(shape) == 2: |
|
|
1281 | 1283 | dummy[:, index] = obj |
|
|
1282 | 1284 | else: |
|
|
1283 | 1285 | dummy[index] = obj |
|
|
1284 | 1286 | self.data[key][tm] = dummy |
|
|
1285 | 1287 | |
|
|
1286 | 1288 | self.__heights = [H for tm in self.__times] |
|
|
1287 | 1289 | |
|
|
1288 | def jsonify(self, decimate=False): | |
|
|
1290 | def jsonify(self, plot_name, plot_type, decimate=False): | |
|
|
1289 | 1291 | ''' |
|
|
1290 | 1292 | Convert data to json |
|
|
1291 | 1293 | ''' |
|
|
1292 | 1294 | |
|
|
1293 | data = {} | |
|
|
1294 | 1295 | tm = self.times[-1] |
|
|
1295 | 1296 | dy = int(self.heights.size/self.MAXNUMY) + 1 |
|
|
1296 | for key in self.data: | |
|
|
1297 | if key in ('spc', 'cspc') or not self.buffering: | |
|
|
1298 | dx = int(self.data[key].shape[1]/self.MAXNUMX) + 1 | |
|
|
1299 | data[key] = self.roundFloats( | |
|
|
1300 | self.data[key][::, ::dx, ::dy].tolist()) | |
|
|
1301 | else: | |
|
|
1302 | data[key] = self.roundFloats(self.data[key][tm].tolist()) | |
|
|
1303 | ||
|
|
1304 | ret = {'data': data} | |
|
|
1305 | ret['exp_code'] = self.exp_code | |
|
|
1306 | ret['time'] = float(tm) | |
|
|
1307 | ret['interval'] = float(self.interval) | |
|
|
1308 | ret['localtime'] = self.localtime | |
|
|
1309 | ret['yrange'] = self.roundFloats(self.heights[::dy].tolist()) | |
|
|
1310 | if 'spc' in self.data or 'cspc' in self.data: | |
|
|
1311 | ret['xrange'] = self.roundFloats(self.xrange[2][::dx].tolist()) | |
|
|
1297 | if self.key in ('spc', 'cspc') or not self.buffering: | |
|
|
1298 | dx = int(self.data[self.key].shape[1]/self.MAXNUMX) + 1 | |
|
|
1299 | data = self.roundFloats( | |
|
|
1300 | self.data[self.key][::, ::dx, ::dy].tolist()) | |
|
|
1312 | 1301 | else: |
|
|
1313 | ret['xrange'] = [] | |
|
|
1314 |
if |
|
|
|
1315 | ret['pairs'] = [(int(p[0]), int(p[1])) for p in self.pairs] | |
|
|
1302 | data = self.roundFloats(self.data[self.key][tm].tolist()) | |
|
|
1303 | if self.key is 'noise': | |
|
|
1304 | data = [[x] for x in data] | |
|
|
1305 | ||
|
|
1306 | meta = {} | |
|
|
1307 | ret = { | |
|
|
1308 | 'plot': plot_name, | |
|
|
1309 | 'code': self.exp_code, | |
|
|
1310 | 'time': float(tm), | |
|
|
1311 | 'data': data, | |
|
|
1312 | } | |
|
|
1313 | meta['type'] = plot_type | |
|
|
1314 | meta['interval'] = float(self.interval) | |
|
|
1315 | meta['localtime'] = self.localtime | |
|
|
1316 | meta['yrange'] = self.roundFloats(self.heights[::dy].tolist()) | |
|
|
1317 | if 'spc' in self.data or 'cspc' in self.data: | |
|
|
1318 | meta['xrange'] = self.roundFloats(self.xrange[2][::dx].tolist()) | |
|
|
1316 | 1319 | else: |
|
|
1317 |
|
|
|
|
1318 | ||
|
|
1319 | for key, value in list(self.meta.items()): | |
|
|
1320 | ret[key] = value | |
|
|
1320 | meta['xrange'] = [] | |
|
|
1321 | 1321 | |
|
|
1322 | meta.update(self.meta) | |
|
|
1323 | ret['metadata'] = meta | |
|
|
1322 | 1324 | return json.dumps(ret) |
|
|
1323 | 1325 | |
|
|
1324 | 1326 | @property |
|
|
1325 | 1327 | def times(self): |
|
|
1326 | 1328 | ''' |
|
|
1327 | 1329 | Return the list of times of the current data |
|
|
1328 | 1330 | ''' |
|
|
1329 | 1331 | |
|
|
1330 | 1332 | ret = numpy.array(self.__times) |
|
|
1331 | 1333 | ret.sort() |
|
|
1332 | 1334 | return ret |
|
|
1333 | 1335 | |
|
|
1334 | 1336 | @property |
|
|
1335 | 1337 | def min_time(self): |
|
|
1336 | 1338 | ''' |
|
|
1337 | 1339 | Return the minimun time value |
|
|
1338 | 1340 | ''' |
|
|
1339 | 1341 | |
|
|
1340 | 1342 | return self.times[0] |
|
|
1341 | 1343 | |
|
|
1342 | 1344 | @property |
|
|
1343 | 1345 | def max_time(self): |
|
|
1344 | 1346 | ''' |
|
|
1345 | 1347 | Return the maximun time value |
|
|
1346 | 1348 | ''' |
|
|
1347 | 1349 | |
|
|
1348 | 1350 | return self.times[-1] |
|
|
1349 | 1351 | |
|
|
1350 | 1352 | @property |
|
|
1351 | 1353 | def heights(self): |
|
|
1352 | 1354 | ''' |
|
|
1353 | 1355 | Return the list of heights of the current data |
|
|
1354 | 1356 | ''' |
|
|
1355 | 1357 | |
|
|
1356 | 1358 | return numpy.array(self.__heights[-1]) |
|
|
1357 | 1359 | |
|
|
1358 | 1360 | @staticmethod |
|
|
1359 | 1361 | def roundFloats(obj): |
|
|
1360 | 1362 | if isinstance(obj, list): |
|
|
1361 | 1363 | return list(map(PlotterData.roundFloats, obj)) |
|
|
1362 | 1364 | elif isinstance(obj, float): |
|
|
1363 | 1365 | return round(obj, 2) |
| @@ -1,784 +1,808 | |||
|
|
1 | 1 | |
|
|
2 | 2 | import os |
|
|
3 | 3 | import sys |
|
|
4 | 4 | import zmq |
|
|
5 | 5 | import time |
|
|
6 | 6 | import numpy |
|
|
7 | 7 | import datetime |
|
|
8 | 8 | from functools import wraps |
|
|
9 | 9 | from threading import Thread |
|
|
10 | 10 | import matplotlib |
|
|
11 | 11 | |
|
|
12 | 12 | if 'BACKEND' in os.environ: |
|
|
13 | 13 | matplotlib.use(os.environ['BACKEND']) |
|
|
14 | 14 | elif 'linux' in sys.platform: |
|
|
15 | 15 | matplotlib.use("TkAgg") |
|
|
16 | 16 | elif 'darwin' in sys.platform: |
|
|
17 | 17 | matplotlib.use('WxAgg') |
|
|
18 | 18 | else: |
|
|
19 | 19 | from schainpy.utils import log |
|
|
20 | 20 | log.warning('Using default Backend="Agg"', 'INFO') |
|
|
21 | 21 | matplotlib.use('Agg') |
|
|
22 | 22 | |
|
|
23 | 23 | import matplotlib.pyplot as plt |
|
|
24 | 24 | from matplotlib.patches import Polygon |
|
|
25 | 25 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
|
26 | 26 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator |
|
|
27 | 27 | |
|
|
28 | 28 | from schainpy.model.data.jrodata import PlotterData |
|
|
29 | 29 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
|
30 | 30 | from schainpy.utils import log |
|
|
31 | 31 | |
|
|
32 | 32 | jet_values = matplotlib.pyplot.get_cmap('jet', 100)(numpy.arange(100))[10:90] |
|
|
33 | 33 | blu_values = matplotlib.pyplot.get_cmap( |
|
|
34 | 34 | 'seismic_r', 20)(numpy.arange(20))[10:15] |
|
|
35 | 35 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list( |
|
|
36 | 36 | 'jro', numpy.vstack((blu_values, jet_values))) |
|
|
37 | 37 | matplotlib.pyplot.register_cmap(cmap=ncmap) |
|
|
38 | 38 | |
|
|
39 | 39 | CMAPS = [plt.get_cmap(s) for s in ('jro', 'jet', 'viridis', |
|
|
40 | 40 | 'plasma', 'inferno', 'Greys', 'seismic', 'bwr', 'coolwarm')] |
|
|
41 | 41 | |
|
|
42 | 42 | EARTH_RADIUS = 6.3710e3 |
|
|
43 | 43 | |
|
|
44 | 44 | def ll2xy(lat1, lon1, lat2, lon2): |
|
|
45 | 45 | |
|
|
46 | 46 | p = 0.017453292519943295 |
|
|
47 | 47 | a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * \ |
|
|
48 | 48 | numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2 |
|
|
49 | 49 | r = 12742 * numpy.arcsin(numpy.sqrt(a)) |
|
|
50 | 50 | theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p) |
|
|
51 | 51 | * numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p)) |
|
|
52 | 52 | theta = -theta + numpy.pi/2 |
|
|
53 | 53 | return r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
54 | 54 | |
|
|
55 | 55 | |
|
|
56 | 56 | def km2deg(km): |
|
|
57 | 57 | ''' |
|
|
58 | 58 | Convert distance in km to degrees |
|
|
59 | 59 | ''' |
|
|
60 | 60 | |
|
|
61 | 61 | return numpy.rad2deg(km/EARTH_RADIUS) |
|
|
62 | 62 | |
|
|
63 | 63 | |
|
|
64 | 64 | def figpause(interval): |
|
|
65 | 65 | backend = plt.rcParams['backend'] |
|
|
66 | 66 | if backend in matplotlib.rcsetup.interactive_bk: |
|
|
67 | 67 | figManager = matplotlib._pylab_helpers.Gcf.get_active() |
|
|
68 | 68 | if figManager is not None: |
|
|
69 | 69 | canvas = figManager.canvas |
|
|
70 | 70 | if canvas.figure.stale: |
|
|
71 | 71 | canvas.draw() |
|
|
72 | 72 | try: |
|
|
73 | 73 | canvas.start_event_loop(interval) |
|
|
74 | 74 | except: |
|
|
75 | 75 | pass |
|
|
76 | 76 | return |
|
|
77 | 77 | |
|
|
78 | 78 | |
|
|
79 | 79 | def popup(message): |
|
|
80 | 80 | ''' |
|
|
81 | 81 | ''' |
|
|
82 | 82 | |
|
|
83 | 83 | fig = plt.figure(figsize=(12, 8), facecolor='r') |
|
|
84 | 84 | text = '\n'.join([s.strip() for s in message.split(':')]) |
|
|
85 | 85 | fig.text(0.01, 0.5, text, ha='left', va='center', |
|
|
86 | 86 | size='20', weight='heavy', color='w') |
|
|
87 | 87 | fig.show() |
|
|
88 | 88 | figpause(1000) |
|
|
89 | 89 | |
|
|
90 | 90 | |
|
|
91 | 91 | class Throttle(object): |
|
|
92 | 92 | ''' |
|
|
93 | 93 | Decorator that prevents a function from being called more than once every |
|
|
94 | 94 | time period. |
|
|
95 | 95 | To create a function that cannot be called more than once a minute, but |
|
|
96 | 96 | will sleep until it can be called: |
|
|
97 | 97 | @Throttle(minutes=1) |
|
|
98 | 98 | def foo(): |
|
|
99 | 99 | pass |
|
|
100 | 100 | |
|
|
101 | 101 | for i in range(10): |
|
|
102 | 102 | foo() |
|
|
103 | 103 | print "This function has run %s times." % i |
|
|
104 | 104 | ''' |
|
|
105 | 105 | |
|
|
106 | 106 | def __init__(self, seconds=0, minutes=0, hours=0): |
|
|
107 | 107 | self.throttle_period = datetime.timedelta( |
|
|
108 | 108 | seconds=seconds, minutes=minutes, hours=hours |
|
|
109 | 109 | ) |
|
|
110 | 110 | |
|
|
111 | 111 | self.time_of_last_call = datetime.datetime.min |
|
|
112 | 112 | |
|
|
113 | 113 | def __call__(self, fn): |
|
|
114 | 114 | @wraps(fn) |
|
|
115 | 115 | def wrapper(*args, **kwargs): |
|
|
116 | 116 | coerce = kwargs.pop('coerce', None) |
|
|
117 | 117 | if coerce: |
|
|
118 | 118 | self.time_of_last_call = datetime.datetime.now() |
|
|
119 | 119 | return fn(*args, **kwargs) |
|
|
120 | 120 | else: |
|
|
121 | 121 | now = datetime.datetime.now() |
|
|
122 | 122 | time_since_last_call = now - self.time_of_last_call |
|
|
123 | 123 | time_left = self.throttle_period - time_since_last_call |
|
|
124 | 124 | |
|
|
125 | 125 | if time_left > datetime.timedelta(seconds=0): |
|
|
126 | 126 | return |
|
|
127 | 127 | |
|
|
128 | 128 | self.time_of_last_call = datetime.datetime.now() |
|
|
129 | 129 | return fn(*args, **kwargs) |
|
|
130 | 130 | |
|
|
131 | 131 | return wrapper |
|
|
132 | 132 | |
|
|
133 | 133 | def apply_throttle(value): |
|
|
134 | 134 | |
|
|
135 | 135 | @Throttle(seconds=value) |
|
|
136 | 136 | def fnThrottled(fn): |
|
|
137 | 137 | fn() |
|
|
138 | 138 | |
|
|
139 | 139 | return fnThrottled |
|
|
140 | 140 | |
|
|
141 | 141 | |
|
|
142 | 142 | @MPDecorator |
|
|
143 | 143 | class Plot(Operation): |
|
|
144 | 144 | ''' |
|
|
145 | 145 | Base class for Schain plotting operations |
|
|
146 | 146 | ''' |
|
|
147 | 147 | |
|
|
148 | 148 | CODE = 'Figure' |
|
|
149 | 149 | colormap = 'jet' |
|
|
150 | 150 | bgcolor = 'white' |
|
|
151 | 151 | __missing = 1E30 |
|
|
152 | 152 | |
|
|
153 | 153 | __attrs__ = ['show', 'save', 'xmin', 'xmax', 'ymin', 'ymax', 'zmin', 'zmax', |
|
|
154 | 154 | 'zlimits', 'xlabel', 'ylabel', 'xaxis', 'cb_label', 'title', |
|
|
155 | 155 | 'colorbar', 'bgcolor', 'width', 'height', 'localtime', 'oneFigure', |
|
|
156 | 156 | 'showprofile', 'decimation', 'pause'] |
|
|
157 | 157 | |
|
|
158 | 158 | def __init__(self): |
|
|
159 | 159 | |
|
|
160 | 160 | Operation.__init__(self) |
|
|
161 | 161 | self.isConfig = False |
|
|
162 | 162 | self.isPlotConfig = False |
|
|
163 | 163 | self.save_counter = 1 |
|
|
164 | 164 | self.sender_counter = 1 |
|
|
165 | self.data = None | |
|
|
165 | 166 | |
|
|
166 | 167 | def __fmtTime(self, x, pos): |
|
|
167 | 168 | ''' |
|
|
168 | 169 | ''' |
|
|
169 | 170 | |
|
|
170 | 171 | return '{}'.format(self.getDateTime(x).strftime('%H:%M')) |
|
|
171 | 172 | |
|
|
172 | 173 | def __setup(self, **kwargs): |
|
|
173 | 174 | ''' |
|
|
174 | 175 | Initialize variables |
|
|
175 | 176 | ''' |
|
|
176 | 177 | |
|
|
177 | 178 | self.figures = [] |
|
|
178 | 179 | self.axes = [] |
|
|
179 | 180 | self.cb_axes = [] |
|
|
180 | 181 | self.localtime = kwargs.pop('localtime', True) |
|
|
181 | 182 | self.show = kwargs.get('show', True) |
|
|
182 | 183 | self.save = kwargs.get('save', False) |
|
|
183 | 184 | self.save_period = kwargs.get('save_period', 2) |
|
|
184 | 185 | self.ftp = kwargs.get('ftp', False) |
|
|
185 | 186 | self.colormap = kwargs.get('colormap', self.colormap) |
|
|
186 | 187 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') |
|
|
187 | 188 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') |
|
|
188 | 189 | self.colormaps = kwargs.get('colormaps', None) |
|
|
189 | 190 | self.bgcolor = kwargs.get('bgcolor', self.bgcolor) |
|
|
190 | 191 | self.showprofile = kwargs.get('showprofile', False) |
|
|
191 | 192 | self.title = kwargs.get('wintitle', self.CODE.upper()) |
|
|
192 | 193 | self.cb_label = kwargs.get('cb_label', None) |
|
|
193 | 194 | self.cb_labels = kwargs.get('cb_labels', None) |
|
|
194 | 195 | self.labels = kwargs.get('labels', None) |
|
|
195 | 196 | self.xaxis = kwargs.get('xaxis', 'frequency') |
|
|
196 | 197 | self.zmin = kwargs.get('zmin', None) |
|
|
197 | 198 | self.zmax = kwargs.get('zmax', None) |
|
|
198 | 199 | self.zlimits = kwargs.get('zlimits', None) |
|
|
199 | 200 | self.xmin = kwargs.get('xmin', None) |
|
|
200 | 201 | self.xmax = kwargs.get('xmax', None) |
|
|
201 | 202 | self.xrange = kwargs.get('xrange', 24) |
|
|
202 | 203 | self.xscale = kwargs.get('xscale', None) |
|
|
203 | 204 | self.ymin = kwargs.get('ymin', None) |
|
|
204 | 205 | self.ymax = kwargs.get('ymax', None) |
|
|
205 | 206 | self.yscale = kwargs.get('yscale', None) |
|
|
206 | 207 | self.xlabel = kwargs.get('xlabel', None) |
|
|
207 | 208 | self.decimation = kwargs.get('decimation', None) |
|
|
208 | 209 | self.showSNR = kwargs.get('showSNR', False) |
|
|
209 | 210 | self.oneFigure = kwargs.get('oneFigure', True) |
|
|
210 | 211 | self.width = kwargs.get('width', None) |
|
|
211 | 212 | self.height = kwargs.get('height', None) |
|
|
212 | 213 | self.colorbar = kwargs.get('colorbar', True) |
|
|
213 | 214 | self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) |
|
|
214 | 215 | self.channels = kwargs.get('channels', None) |
|
|
215 | 216 | self.titles = kwargs.get('titles', []) |
|
|
216 | 217 | self.polar = False |
|
|
217 | 218 | self.type = kwargs.get('type', 'iq') |
|
|
218 | 219 | self.grid = kwargs.get('grid', False) |
|
|
219 | 220 | self.pause = kwargs.get('pause', False) |
|
|
220 | 221 | self.save_labels = kwargs.get('save_labels', None) |
|
|
221 | 222 | self.realtime = kwargs.get('realtime', True) |
|
|
222 | 223 | self.buffering = kwargs.get('buffering', True) |
|
|
223 | 224 | self.throttle = kwargs.get('throttle', 2) |
|
|
224 | 225 | self.exp_code = kwargs.get('exp_code', None) |
|
|
225 | 226 | self.plot_server = kwargs.get('plot_server', False) |
|
|
226 | 227 | self.sender_period = kwargs.get('sender_period', 2) |
|
|
227 | 228 | self.__throttle_plot = apply_throttle(self.throttle) |
|
|
228 | 229 | self.data = PlotterData( |
|
|
229 | self.CODE, self.throttle, self.exp_code, self.buffering) | |
|
|
230 | self.CODE, self.throttle, self.exp_code, self.buffering, snr=self.showSNR) | |
|
|
230 | 231 | |
|
|
231 | 232 | if self.plot_server: |
|
|
232 | 233 | if not self.plot_server.startswith('tcp://'): |
|
|
233 | 234 | self.plot_server = 'tcp://{}'.format(self.plot_server) |
|
|
234 | 235 | log.success( |
|
|
235 | 236 | 'Sending to server: {}'.format(self.plot_server), |
|
|
236 | 237 | self.name |
|
|
237 | 238 | ) |
|
|
239 | if 'plot_name' in kwargs: | |
|
|
240 | self.plot_name = kwargs['plot_name'] | |
|
|
238 | 241 | |
|
|
239 | 242 | def __setup_plot(self): |
|
|
240 | 243 | ''' |
|
|
241 | 244 | Common setup for all figures, here figures and axes are created |
|
|
242 | 245 | ''' |
|
|
243 | 246 | |
|
|
244 | 247 | self.setup() |
|
|
245 | 248 | |
|
|
246 | self.time_label = 'LT' if self.localtime else 'UTC' | |
|
|
247 | if self.data.localtime: | |
|
|
248 | self.getDateTime = datetime.datetime.fromtimestamp | |
|
|
249 | else: | |
|
|
250 | self.getDateTime = datetime.datetime.utcfromtimestamp | |
|
|
249 | self.time_label = 'LT' if self.localtime else 'UTC' | |
|
|
251 | 250 | |
|
|
252 | 251 | if self.width is None: |
|
|
253 | 252 | self.width = 8 |
|
|
254 | 253 | |
|
|
255 | 254 | self.figures = [] |
|
|
256 | 255 | self.axes = [] |
|
|
257 | 256 | self.cb_axes = [] |
|
|
258 | 257 | self.pf_axes = [] |
|
|
259 | 258 | self.cmaps = [] |
|
|
260 | 259 | |
|
|
261 | 260 | size = '15%' if self.ncols == 1 else '30%' |
|
|
262 | 261 | pad = '4%' if self.ncols == 1 else '8%' |
|
|
263 | 262 | |
|
|
264 | 263 | if self.oneFigure: |
|
|
265 | 264 | if self.height is None: |
|
|
266 | 265 | self.height = 1.4 * self.nrows + 1 |
|
|
267 | 266 | fig = plt.figure(figsize=(self.width, self.height), |
|
|
268 | 267 | edgecolor='k', |
|
|
269 | 268 | facecolor='w') |
|
|
270 | 269 | self.figures.append(fig) |
|
|
271 | 270 | for n in range(self.nplots): |
|
|
272 | 271 | ax = fig.add_subplot(self.nrows, self.ncols, |
|
|
273 | 272 | n + 1, polar=self.polar) |
|
|
274 | 273 | ax.tick_params(labelsize=8) |
|
|
275 | 274 | ax.firsttime = True |
|
|
276 | 275 | ax.index = 0 |
|
|
277 | 276 | ax.press = None |
|
|
278 | 277 | self.axes.append(ax) |
|
|
279 | 278 | if self.showprofile: |
|
|
280 | 279 | cax = self.__add_axes(ax, size=size, pad=pad) |
|
|
281 | 280 | cax.tick_params(labelsize=8) |
|
|
282 | 281 | self.pf_axes.append(cax) |
|
|
283 | 282 | else: |
|
|
284 | 283 | if self.height is None: |
|
|
285 | 284 | self.height = 3 |
|
|
286 | 285 | for n in range(self.nplots): |
|
|
287 | 286 | fig = plt.figure(figsize=(self.width, self.height), |
|
|
288 | 287 | edgecolor='k', |
|
|
289 | 288 | facecolor='w') |
|
|
290 | 289 | ax = fig.add_subplot(1, 1, 1, polar=self.polar) |
|
|
291 | 290 | ax.tick_params(labelsize=8) |
|
|
292 | 291 | ax.firsttime = True |
|
|
293 | 292 | ax.index = 0 |
|
|
294 | 293 | ax.press = None |
|
|
295 | 294 | self.figures.append(fig) |
|
|
296 | 295 | self.axes.append(ax) |
|
|
297 | 296 | if self.showprofile: |
|
|
298 | 297 | cax = self.__add_axes(ax, size=size, pad=pad) |
|
|
299 | 298 | cax.tick_params(labelsize=8) |
|
|
300 | 299 | self.pf_axes.append(cax) |
|
|
301 | 300 | |
|
|
302 | 301 | for n in range(self.nrows): |
|
|
303 | 302 | if self.colormaps is not None: |
|
|
304 | 303 | cmap = plt.get_cmap(self.colormaps[n]) |
|
|
305 | 304 | else: |
|
|
306 | 305 | cmap = plt.get_cmap(self.colormap) |
|
|
307 | 306 | cmap.set_bad(self.bgcolor, 1.) |
|
|
308 | 307 | self.cmaps.append(cmap) |
|
|
309 | ||
|
|
308 | ||
|
|
310 | 309 | for fig in self.figures: |
|
|
311 | 310 | fig.canvas.mpl_connect('key_press_event', self.OnKeyPress) |
|
|
312 | 311 | fig.canvas.mpl_connect('scroll_event', self.OnBtnScroll) |
|
|
313 | 312 | fig.canvas.mpl_connect('button_press_event', self.onBtnPress) |
|
|
314 | 313 | fig.canvas.mpl_connect('motion_notify_event', self.onMotion) |
|
|
315 | 314 | fig.canvas.mpl_connect('button_release_event', self.onBtnRelease) |
|
|
316 | if self.show: | |
|
|
317 | fig.show() | |
|
|
318 | 315 | |
|
|
319 | 316 | def OnKeyPress(self, event): |
|
|
320 | 317 | ''' |
|
|
321 | 318 | Event for pressing keys (up, down) change colormap |
|
|
322 | 319 | ''' |
|
|
323 | 320 | ax = event.inaxes |
|
|
324 | 321 | if ax in self.axes: |
|
|
325 | 322 | if event.key == 'down': |
|
|
326 | 323 | ax.index += 1 |
|
|
327 | 324 | elif event.key == 'up': |
|
|
328 | 325 | ax.index -= 1 |
|
|
329 | 326 | if ax.index < 0: |
|
|
330 | 327 | ax.index = len(CMAPS) - 1 |
|
|
331 | 328 | elif ax.index == len(CMAPS): |
|
|
332 | 329 | ax.index = 0 |
|
|
333 | 330 | cmap = CMAPS[ax.index] |
|
|
334 | 331 | ax.cbar.set_cmap(cmap) |
|
|
335 | 332 | ax.cbar.draw_all() |
|
|
336 | 333 | ax.plt.set_cmap(cmap) |
|
|
337 | 334 | ax.cbar.patch.figure.canvas.draw() |
|
|
338 | 335 | self.colormap = cmap.name |
|
|
339 | 336 | |
|
|
340 | 337 | def OnBtnScroll(self, event): |
|
|
341 | 338 | ''' |
|
|
342 | 339 | Event for scrolling, scale figure |
|
|
343 | 340 | ''' |
|
|
344 | 341 | cb_ax = event.inaxes |
|
|
345 | 342 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
|
|
346 | 343 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] |
|
|
347 | 344 | pt = ax.cbar.ax.bbox.get_points()[:, 1] |
|
|
348 | 345 | nrm = ax.cbar.norm |
|
|
349 | 346 | vmin, vmax, p0, p1, pS = ( |
|
|
350 | 347 | nrm.vmin, nrm.vmax, pt[0], pt[1], event.y) |
|
|
351 | 348 | scale = 2 if event.step == 1 else 0.5 |
|
|
352 | 349 | point = vmin + (vmax - vmin) / (p1 - p0) * (pS - p0) |
|
|
353 | 350 | ax.cbar.norm.vmin = point - scale * (point - vmin) |
|
|
354 | 351 | ax.cbar.norm.vmax = point - scale * (point - vmax) |
|
|
355 | 352 | ax.plt.set_norm(ax.cbar.norm) |
|
|
356 | 353 | ax.cbar.draw_all() |
|
|
357 | 354 | ax.cbar.patch.figure.canvas.draw() |
|
|
358 | 355 | |
|
|
359 | 356 | def onBtnPress(self, event): |
|
|
360 | 357 | ''' |
|
|
361 | 358 | Event for mouse button press |
|
|
362 | 359 | ''' |
|
|
363 | 360 | cb_ax = event.inaxes |
|
|
364 | 361 | if cb_ax is None: |
|
|
365 | 362 | return |
|
|
366 | 363 | |
|
|
367 | 364 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
|
|
368 | 365 | cb_ax.press = event.x, event.y |
|
|
369 | 366 | else: |
|
|
370 | 367 | cb_ax.press = None |
|
|
371 | 368 | |
|
|
372 | 369 | def onMotion(self, event): |
|
|
373 | 370 | ''' |
|
|
374 | 371 | Event for move inside colorbar |
|
|
375 | 372 | ''' |
|
|
376 | 373 | cb_ax = event.inaxes |
|
|
377 | 374 | if cb_ax is None: |
|
|
378 | 375 | return |
|
|
379 | 376 | if cb_ax not in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
|
|
380 | 377 | return |
|
|
381 | 378 | if cb_ax.press is None: |
|
|
382 | 379 | return |
|
|
383 | 380 | |
|
|
384 | 381 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] |
|
|
385 | 382 | xprev, yprev = cb_ax.press |
|
|
386 | 383 | dx = event.x - xprev |
|
|
387 | 384 | dy = event.y - yprev |
|
|
388 | 385 | cb_ax.press = event.x, event.y |
|
|
389 | 386 | scale = ax.cbar.norm.vmax - ax.cbar.norm.vmin |
|
|
390 | 387 | perc = 0.03 |
|
|
391 | 388 | |
|
|
392 | 389 | if event.button == 1: |
|
|
393 | 390 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) |
|
|
394 | 391 | ax.cbar.norm.vmax -= (perc * scale) * numpy.sign(dy) |
|
|
395 | 392 | elif event.button == 3: |
|
|
396 | 393 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) |
|
|
397 | 394 | ax.cbar.norm.vmax += (perc * scale) * numpy.sign(dy) |
|
|
398 | 395 | |
|
|
399 | 396 | ax.cbar.draw_all() |
|
|
400 | 397 | ax.plt.set_norm(ax.cbar.norm) |
|
|
401 | 398 | ax.cbar.patch.figure.canvas.draw() |
|
|
402 | 399 | |
|
|
403 | 400 | def onBtnRelease(self, event): |
|
|
404 | 401 | ''' |
|
|
405 | 402 | Event for mouse button release |
|
|
406 | 403 | ''' |
|
|
407 | 404 | cb_ax = event.inaxes |
|
|
408 | 405 | if cb_ax is not None: |
|
|
409 | 406 | cb_ax.press = None |
|
|
410 | 407 | |
|
|
411 | 408 | def __add_axes(self, ax, size='30%', pad='8%'): |
|
|
412 | 409 | ''' |
|
|
413 | 410 | Add new axes to the given figure |
|
|
414 | 411 | ''' |
|
|
415 | 412 | divider = make_axes_locatable(ax) |
|
|
416 | 413 | nax = divider.new_horizontal(size=size, pad=pad) |
|
|
417 | 414 | ax.figure.add_axes(nax) |
|
|
418 | 415 | return nax |
|
|
419 | 416 | |
|
|
420 | 417 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
|
|
421 | 418 | ''' |
|
|
422 | 419 | Create a masked array for missing data |
|
|
423 | 420 | ''' |
|
|
424 | 421 | if x_buffer.shape[0] < 2: |
|
|
425 | 422 | return x_buffer, y_buffer, z_buffer |
|
|
426 | 423 | |
|
|
427 | 424 | deltas = x_buffer[1:] - x_buffer[0:-1] |
|
|
428 | 425 | x_median = numpy.median(deltas) |
|
|
429 | 426 | |
|
|
430 | 427 | index = numpy.where(deltas > 5 * x_median) |
|
|
431 | 428 | |
|
|
432 | 429 | if len(index[0]) != 0: |
|
|
433 | 430 | z_buffer[::, index[0], ::] = self.__missing |
|
|
434 | 431 | z_buffer = numpy.ma.masked_inside(z_buffer, |
|
|
435 | 432 | 0.99 * self.__missing, |
|
|
436 | 433 | 1.01 * self.__missing) |
|
|
437 | 434 | |
|
|
438 | 435 | return x_buffer, y_buffer, z_buffer |
|
|
439 | 436 | |
|
|
440 | 437 | def decimate(self): |
|
|
441 | 438 | |
|
|
442 | 439 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 |
|
|
443 | 440 | dy = int(len(self.y) / self.decimation) + 1 |
|
|
444 | 441 | |
|
|
445 | 442 | # x = self.x[::dx] |
|
|
446 | 443 | x = self.x |
|
|
447 | 444 | y = self.y[::dy] |
|
|
448 | 445 | z = self.z[::, ::, ::dy] |
|
|
449 | 446 | |
|
|
450 | 447 | return x, y, z |
|
|
451 | 448 | |
|
|
452 | 449 | def format(self): |
|
|
453 | 450 | ''' |
|
|
454 | 451 | Set min and max values, labels, ticks and titles |
|
|
455 | 452 | ''' |
|
|
456 | 453 | |
|
|
457 | 454 | if self.xmin is None: |
|
|
458 | 455 | xmin = self.data.min_time |
|
|
459 | 456 | else: |
|
|
460 | 457 | if self.xaxis is 'time': |
|
|
461 | 458 | dt = self.getDateTime(self.data.min_time) |
|
|
462 | 459 | xmin = (dt.replace(hour=int(self.xmin), minute=0, second=0) - |
|
|
463 | 460 | datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
464 | 461 | if self.data.localtime: |
|
|
465 | 462 | xmin += time.timezone |
|
|
466 | self.tmin = xmin | |
|
|
467 | 463 | else: |
|
|
468 | 464 | xmin = self.xmin |
|
|
469 | 465 | |
|
|
470 | 466 | if self.xmax is None: |
|
|
471 | 467 | xmax = xmin + self.xrange * 60 * 60 |
|
|
472 | 468 | else: |
|
|
473 | 469 | if self.xaxis is 'time': |
|
|
474 | 470 | dt = self.getDateTime(self.data.max_time) |
|
|
475 | 471 | xmax = (dt.replace(hour=int(self.xmax), minute=59, second=59) - |
|
|
476 | 472 | datetime.datetime(1970, 1, 1) + datetime.timedelta(seconds=1)).total_seconds() |
|
|
477 | 473 | if self.data.localtime: |
|
|
478 | 474 | xmax += time.timezone |
|
|
479 | 475 | else: |
|
|
480 | 476 | xmax = self.xmax |
|
|
481 | 477 | |
|
|
482 | 478 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) |
|
|
483 | 479 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) |
|
|
484 | 480 | #Y = numpy.array([1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000, 20000, 50000]) |
|
|
485 | 481 | |
|
|
486 | 482 | #i = 1 if numpy.where( |
|
|
487 | 483 | # abs(ymax-ymin) <= Y)[0][0] < 0 else numpy.where(abs(ymax-ymin) <= Y)[0][0] |
|
|
488 | 484 | #ystep = Y[i] / 10. |
|
|
489 | 485 | dig = int(numpy.log10(ymax)) |
|
|
490 | 486 | if dig == 0: |
|
|
491 | 487 | digD = len(str(ymax)) - 2 |
|
|
492 | 488 | ydec = ymax*(10**digD) |
|
|
493 | 489 | |
|
|
494 | 490 | dig = int(numpy.log10(ydec)) |
|
|
495 | 491 | ystep = ((ydec + (10**(dig)))//10**(dig))*(10**(dig)) |
|
|
496 | 492 | ystep = ystep/5 |
|
|
497 | 493 | ystep = ystep/(10**digD) |
|
|
498 | 494 | |
|
|
499 | 495 | else: |
|
|
500 | 496 | ystep = ((ymax + (10**(dig)))//10**(dig))*(10**(dig)) |
|
|
501 | 497 | ystep = ystep/5 |
|
|
502 | 498 | |
|
|
503 | 499 | if self.xaxis is not 'time': |
|
|
504 | 500 | |
|
|
505 | 501 | dig = int(numpy.log10(xmax)) |
|
|
506 | 502 | |
|
|
507 | 503 | if dig <= 0: |
|
|
508 | 504 | digD = len(str(xmax)) - 2 |
|
|
509 | 505 | xdec = xmax*(10**digD) |
|
|
510 | 506 | |
|
|
511 | 507 | dig = int(numpy.log10(xdec)) |
|
|
512 | 508 | xstep = ((xdec + (10**(dig)))//10**(dig))*(10**(dig)) |
|
|
513 | 509 | xstep = xstep*0.5 |
|
|
514 | 510 | xstep = xstep/(10**digD) |
|
|
515 | 511 | |
|
|
516 | 512 | else: |
|
|
517 | 513 | xstep = ((xmax + (10**(dig)))//10**(dig))*(10**(dig)) |
|
|
518 | 514 | xstep = xstep/5 |
|
|
519 | 515 | |
|
|
520 | 516 | for n, ax in enumerate(self.axes): |
|
|
521 | 517 | if ax.firsttime: |
|
|
522 | 518 | ax.set_facecolor(self.bgcolor) |
|
|
523 | 519 | ax.yaxis.set_major_locator(MultipleLocator(ystep)) |
|
|
524 | 520 | if self.xscale: |
|
|
525 | 521 | ax.xaxis.set_major_formatter(FuncFormatter( |
|
|
526 | 522 | lambda x, pos: '{0:g}'.format(x*self.xscale))) |
|
|
527 | 523 | if self.xscale: |
|
|
528 | 524 | ax.yaxis.set_major_formatter(FuncFormatter( |
|
|
529 | 525 | lambda x, pos: '{0:g}'.format(x*self.yscale))) |
|
|
530 | 526 | if self.xaxis is 'time': |
|
|
531 | 527 | ax.xaxis.set_major_formatter(FuncFormatter(self.__fmtTime)) |
|
|
532 | 528 | ax.xaxis.set_major_locator(LinearLocator(9)) |
|
|
533 | 529 | else: |
|
|
534 | 530 | ax.xaxis.set_major_locator(MultipleLocator(xstep)) |
|
|
535 | 531 | if self.xlabel is not None: |
|
|
536 | 532 | ax.set_xlabel(self.xlabel) |
|
|
537 | 533 | ax.set_ylabel(self.ylabel) |
|
|
538 | 534 | ax.firsttime = False |
|
|
539 | 535 | if self.showprofile: |
|
|
540 | 536 | self.pf_axes[n].set_ylim(ymin, ymax) |
|
|
541 | 537 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) |
|
|
542 | 538 | self.pf_axes[n].set_xlabel('dB') |
|
|
543 | 539 | self.pf_axes[n].grid(b=True, axis='x') |
|
|
544 | 540 | [tick.set_visible(False) |
|
|
545 | 541 | for tick in self.pf_axes[n].get_yticklabels()] |
|
|
546 | 542 | if self.colorbar: |
|
|
547 | 543 | ax.cbar = plt.colorbar( |
|
|
548 | 544 | ax.plt, ax=ax, fraction=0.05, pad=0.02, aspect=10) |
|
|
549 | 545 | ax.cbar.ax.tick_params(labelsize=8) |
|
|
550 | 546 | ax.cbar.ax.press = None |
|
|
551 | 547 | if self.cb_label: |
|
|
552 | 548 | ax.cbar.set_label(self.cb_label, size=8) |
|
|
553 | 549 | elif self.cb_labels: |
|
|
554 | 550 | ax.cbar.set_label(self.cb_labels[n], size=8) |
|
|
555 | 551 | else: |
|
|
556 | 552 | ax.cbar = None |
|
|
557 | 553 | if self.grid: |
|
|
558 | 554 | ax.grid(True) |
|
|
559 | 555 | |
|
|
560 | 556 | if not self.polar: |
|
|
561 | 557 | ax.set_xlim(xmin, xmax) |
|
|
562 | 558 | ax.set_ylim(ymin, ymax) |
|
|
563 | 559 | ax.set_title('{} {} {}'.format( |
|
|
564 | 560 | self.titles[n], |
|
|
565 | 561 | self.getDateTime(self.data.max_time).strftime( |
|
|
566 | '%H:%M:%S'), | |
|
|
562 | '%Y-%m-%d %H:%M:%S'), | |
|
|
567 | 563 | self.time_label), |
|
|
568 | 564 | size=8) |
|
|
569 | 565 | else: |
|
|
570 | 566 | ax.set_title('{}'.format(self.titles[n]), size=8) |
|
|
571 | 567 | ax.set_ylim(0, 90) |
|
|
572 | 568 | ax.set_yticks(numpy.arange(0, 90, 20)) |
|
|
573 | 569 | ax.yaxis.labelpad = 40 |
|
|
574 | 570 | |
|
|
575 | 571 | def clear_figures(self): |
|
|
576 | 572 | ''' |
|
|
577 | 573 | Reset axes for redraw plots |
|
|
578 | 574 | ''' |
|
|
579 | 575 | |
|
|
580 | 576 | for ax in self.axes: |
|
|
581 | 577 | ax.clear() |
|
|
582 | 578 | ax.firsttime = True |
|
|
583 | 579 | if ax.cbar: |
|
|
584 | 580 | ax.cbar.remove() |
|
|
585 | 581 | |
|
|
586 | 582 | def __plot(self): |
|
|
587 | 583 | ''' |
|
|
588 | 584 | Main function to plot, format and save figures |
|
|
589 | 585 | ''' |
|
|
590 | 586 | |
|
|
591 | 587 | try: |
|
|
592 | 588 | self.plot() |
|
|
593 | 589 | self.format() |
|
|
594 | 590 | except Exception as e: |
|
|
595 | 591 | log.warning('{} Plot could not be updated... check data'.format( |
|
|
596 | 592 | self.CODE), self.name) |
|
|
597 | 593 | log.error(str(e), '') |
|
|
598 | 594 | return |
|
|
599 | 595 | |
|
|
600 | 596 | for n, fig in enumerate(self.figures): |
|
|
601 | 597 | if self.nrows == 0 or self.nplots == 0: |
|
|
602 | 598 | log.warning('No data', self.name) |
|
|
603 | 599 | fig.text(0.5, 0.5, 'No Data', fontsize='large', ha='center') |
|
|
604 | 600 | fig.canvas.manager.set_window_title(self.CODE) |
|
|
605 | 601 | continue |
|
|
606 | 602 | |
|
|
607 | 603 | fig.tight_layout() |
|
|
608 | 604 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, |
|
|
609 | 605 | self.getDateTime(self.data.max_time).strftime('%Y/%m/%d'))) |
|
|
610 | 606 | fig.canvas.draw() |
|
|
607 | if self.show: | |
|
|
608 | fig.show() | |
|
|
609 | figpause(0.1) | |
|
|
611 | 610 | |
|
|
612 | 611 | if self.save: |
|
|
613 | 612 | self.save_figure(n) |
|
|
614 | 613 | |
|
|
615 | 614 | if self.plot_server: |
|
|
616 | 615 | self.send_to_server() |
|
|
617 | 616 | # t = Thread(target=self.send_to_server) |
|
|
618 | 617 | # t.start() |
|
|
619 | 618 | |
|
|
620 | 619 | def save_figure(self, n): |
|
|
621 | 620 | ''' |
|
|
622 | 621 | ''' |
|
|
623 | 622 | |
|
|
624 | 623 | if self.save_counter < self.save_period: |
|
|
625 | 624 | self.save_counter += 1 |
|
|
626 | 625 | return |
|
|
627 | 626 | |
|
|
628 | 627 | self.save_counter = 1 |
|
|
629 | 628 | |
|
|
630 | 629 | fig = self.figures[n] |
|
|
631 | 630 | |
|
|
632 | 631 | if self.save_labels: |
|
|
633 | 632 | labels = self.save_labels |
|
|
634 | 633 | else: |
|
|
635 | 634 | labels = list(range(self.nrows)) |
|
|
636 | 635 | |
|
|
637 | 636 | if self.oneFigure: |
|
|
638 | 637 | label = '' |
|
|
639 | 638 | else: |
|
|
640 | 639 | label = '-{}'.format(labels[n]) |
|
|
641 | 640 | figname = os.path.join( |
|
|
642 | 641 | self.save, |
|
|
643 | 642 | self.CODE, |
|
|
644 | 643 | '{}{}_{}.png'.format( |
|
|
645 | 644 | self.CODE, |
|
|
646 | 645 | label, |
|
|
647 | 646 | self.getDateTime(self.data.max_time).strftime( |
|
|
648 | 647 | '%Y%m%d_%H%M%S' |
|
|
649 | 648 | ), |
|
|
650 | 649 | ) |
|
|
651 | 650 | ) |
|
|
652 | 651 | log.log('Saving figure: {}'.format(figname), self.name) |
|
|
653 | 652 | if not os.path.isdir(os.path.dirname(figname)): |
|
|
654 | 653 | os.makedirs(os.path.dirname(figname)) |
|
|
655 | 654 | fig.savefig(figname) |
|
|
656 | 655 | |
|
|
657 | 656 | if self.realtime: |
|
|
658 | 657 | figname = os.path.join( |
|
|
659 | 658 | self.save, |
|
|
660 | 659 | '{}{}_{}.png'.format( |
|
|
661 | 660 | self.CODE, |
|
|
662 | 661 | label, |
|
|
663 | 662 | self.getDateTime(self.data.min_time).strftime( |
|
|
664 | 663 | '%Y%m%d' |
|
|
665 | 664 | ), |
|
|
666 | 665 | ) |
|
|
667 | 666 | ) |
|
|
668 | 667 | fig.savefig(figname) |
|
|
669 | 668 | |
|
|
670 | 669 | def send_to_server(self): |
|
|
671 | 670 | ''' |
|
|
672 | 671 | ''' |
|
|
673 | 672 | |
|
|
674 | 673 | if self.sender_counter < self.sender_period: |
|
|
675 | 674 | self.sender_counter += 1 |
|
|
676 | 675 | |
|
|
677 | 676 | self.sender_counter = 1 |
|
|
678 | ||
|
|
677 | self.data.meta['titles'] = self.titles | |
|
|
679 | 678 | retries = 2 |
|
|
680 | 679 | while True: |
|
|
681 | self.socket.send_string(self.data.jsonify()) | |
|
|
680 | self.socket.send_string(self.data.jsonify(self.plot_name, self.plot_type)) | |
|
|
682 | 681 | socks = dict(self.poll.poll(5000)) |
|
|
683 | 682 | if socks.get(self.socket) == zmq.POLLIN: |
|
|
684 | 683 | reply = self.socket.recv_string() |
|
|
685 | 684 | if reply == 'ok': |
|
|
686 | 685 | log.log("Response from server ok", self.name) |
|
|
687 | 686 | break |
|
|
688 | 687 | else: |
|
|
689 | 688 | log.warning( |
|
|
690 | 689 | "Malformed reply from server: {}".format(reply), self.name) |
|
|
691 | 690 | |
|
|
692 | 691 | else: |
|
|
693 | 692 | log.warning( |
|
|
694 | 693 | "No response from server, retrying...", self.name) |
|
|
695 | 694 | self.socket.setsockopt(zmq.LINGER, 0) |
|
|
696 | 695 | self.socket.close() |
|
|
697 | 696 | self.poll.unregister(self.socket) |
|
|
698 | 697 | retries -= 1 |
|
|
699 | 698 | if retries == 0: |
|
|
700 | 699 | log.error( |
|
|
701 | 700 | "Server seems to be offline, abandoning", self.name) |
|
|
702 | 701 | self.socket = self.context.socket(zmq.REQ) |
|
|
703 | 702 | self.socket.connect(self.plot_server) |
|
|
704 | 703 | self.poll.register(self.socket, zmq.POLLIN) |
|
|
705 | 704 | time.sleep(1) |
|
|
706 | 705 | break |
|
|
707 | 706 | self.socket = self.context.socket(zmq.REQ) |
|
|
708 | 707 | self.socket.connect(self.plot_server) |
|
|
709 | 708 | self.poll.register(self.socket, zmq.POLLIN) |
|
|
710 | 709 | time.sleep(0.5) |
|
|
711 | 710 | |
|
|
712 | 711 | def setup(self): |
|
|
713 | 712 | ''' |
|
|
714 | 713 | This method should be implemented in the child class, the following |
|
|
715 | 714 | attributes should be set: |
|
|
716 | 715 | |
|
|
717 | 716 | self.nrows: number of rows |
|
|
718 | 717 | self.ncols: number of cols |
|
|
719 | 718 | self.nplots: number of plots (channels or pairs) |
|
|
720 | 719 | self.ylabel: label for Y axes |
|
|
721 | 720 | self.titles: list of axes title |
|
|
722 | 721 | |
|
|
723 | 722 | ''' |
|
|
724 | 723 | raise NotImplementedError |
|
|
725 | 724 | |
|
|
726 | 725 | def plot(self): |
|
|
727 | 726 | ''' |
|
|
728 | 727 | Must be defined in the child class |
|
|
729 | 728 | ''' |
|
|
730 | 729 | raise NotImplementedError |
|
|
731 | 730 | |
|
|
732 | 731 | def run(self, dataOut, **kwargs): |
|
|
733 | ||
|
|
734 | if dataOut.error: | |
|
|
735 | coerce = True | |
|
|
736 | else: | |
|
|
737 | coerce = False | |
|
|
732 | ''' | |
|
|
733 | Main plotting routine | |
|
|
734 | ''' | |
|
|
738 | 735 | |
|
|
739 | 736 | if self.isConfig is False: |
|
|
740 | 737 | self.__setup(**kwargs) |
|
|
738 | if dataOut.type == 'Parameters': | |
|
|
739 | t = dataOut.utctimeInit | |
|
|
740 | else: | |
|
|
741 | t = dataOut.utctime | |
|
|
742 | ||
|
|
743 | if dataOut.useLocalTime: | |
|
|
744 | self.getDateTime = datetime.datetime.fromtimestamp | |
|
|
745 | if not self.localtime: | |
|
|
746 | t += time.timezone | |
|
|
747 | else: | |
|
|
748 | self.getDateTime = datetime.datetime.utcfromtimestamp | |
|
|
749 | if self.localtime: | |
|
|
750 | t -= time.timezone | |
|
|
751 | ||
|
|
752 | if self.xmin is None: | |
|
|
753 | self.tmin = t | |
|
|
754 | else: | |
|
|
755 | self.tmin = ( | |
|
|
756 | self.getDateTime(t).replace( | |
|
|
757 | hour=self.xmin, | |
|
|
758 | minute=0, | |
|
|
759 | second=0) - self.getDateTime(0)).total_seconds() | |
|
|
760 | ||
|
|
741 | 761 | self.data.setup() |
|
|
742 | 762 | self.isConfig = True |
|
|
743 | 763 | if self.plot_server: |
|
|
744 | 764 | self.context = zmq.Context() |
|
|
745 | 765 | self.socket = self.context.socket(zmq.REQ) |
|
|
746 | 766 | self.socket.connect(self.plot_server) |
|
|
747 | 767 | self.poll = zmq.Poller() |
|
|
748 | 768 | self.poll.register(self.socket, zmq.POLLIN) |
|
|
749 | 769 | |
|
|
750 | 770 | if dataOut.type == 'Parameters': |
|
|
751 | 771 | tm = dataOut.utctimeInit |
|
|
752 | 772 | else: |
|
|
753 | 773 | tm = dataOut.utctime |
|
|
754 | ||
|
|
755 | if dataOut.useLocalTime: | |
|
|
756 | if not self.localtime: | |
|
|
757 | tm += time.timezone | |
|
|
758 | else: | |
|
|
759 | if self.localtime: | |
|
|
760 | tm -= time.timezone | |
|
|
761 | 774 | |
|
|
762 | if self.xaxis is 'time' and self.data and (tm - self.tmin) >= self.xrange*60*60: | |
|
|
775 | if not dataOut.useLocalTime and self.localtime: | |
|
|
776 | tm -= time.timezone | |
|
|
777 | if dataOut.useLocalTime and not self.localtime: | |
|
|
778 | tm += time.timezone | |
|
|
779 | ||
|
|
780 | if self.xaxis is 'time' and self.data and (tm - self.tmin) >= self.xrange*60*60: | |
|
|
781 | self.save_counter = self.save_period | |
|
|
763 | 782 | self.__plot() |
|
|
783 | self.xmin += self.xrange | |
|
|
784 | if self.xmin >= 24: | |
|
|
785 | self.xmin -= 24 | |
|
|
786 | self.tmin += self.xrange*60*60 | |
|
|
764 | 787 | self.data.setup() |
|
|
765 | 788 | self.clear_figures() |
|
|
766 | 789 | |
|
|
767 | 790 | self.data.update(dataOut, tm) |
|
|
768 | 791 | |
|
|
769 | 792 | if self.isPlotConfig is False: |
|
|
770 | 793 | self.__setup_plot() |
|
|
771 | 794 | self.isPlotConfig = True |
|
|
772 | 795 | |
|
|
773 | 796 | if self.realtime: |
|
|
774 | 797 | self.__plot() |
|
|
775 | 798 | else: |
|
|
776 |
self.__throttle_plot(self.__plot |
|
|
|
777 | ||
|
|
778 | figpause(0.001) | |
|
|
799 | self.__throttle_plot(self.__plot)#, coerce=coerce) | |
|
|
779 | 800 | |
|
|
780 | 801 | def close(self): |
|
|
781 | 802 | |
|
|
803 | if self.data: | |
|
|
804 | self.save_counter = self.save_period | |
|
|
805 | self.__plot() | |
|
|
782 | 806 | if self.data and self.pause: |
|
|
783 | 807 | figpause(10) |
|
|
784 | 808 | |
| @@ -1,748 +1,759 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | New Plots Operations |
|
|
3 | 3 | |
|
|
4 | 4 | @author: juan.espinoza@jro.igp.gob.pe |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | |
|
|
8 | 8 | import time |
|
|
9 | 9 | import datetime |
|
|
10 | 10 | import numpy |
|
|
11 | 11 | |
|
|
12 | 12 | from schainpy.model.graphics.jroplot_base import Plot, plt |
|
|
13 | 13 | from schainpy.utils import log |
|
|
14 | 14 | |
|
|
15 | 15 | EARTH_RADIUS = 6.3710e3 |
|
|
16 | 16 | |
|
|
17 | 17 | |
|
|
18 | 18 | def ll2xy(lat1, lon1, lat2, lon2): |
|
|
19 | 19 | |
|
|
20 | 20 | p = 0.017453292519943295 |
|
|
21 | 21 | a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * \ |
|
|
22 | 22 | numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2 |
|
|
23 | 23 | r = 12742 * numpy.arcsin(numpy.sqrt(a)) |
|
|
24 | 24 | theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p) |
|
|
25 | 25 | * numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p)) |
|
|
26 | 26 | theta = -theta + numpy.pi/2 |
|
|
27 | 27 | return r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
28 | 28 | |
|
|
29 | 29 | |
|
|
30 | 30 | def km2deg(km): |
|
|
31 | 31 | ''' |
|
|
32 | 32 | Convert distance in km to degrees |
|
|
33 | 33 | ''' |
|
|
34 | 34 | |
|
|
35 | 35 | return numpy.rad2deg(km/EARTH_RADIUS) |
|
|
36 | 36 | |
|
|
37 | 37 | |
|
|
38 | 38 | class SpectraPlot(Plot): |
|
|
39 | 39 | ''' |
|
|
40 | 40 | Plot for Spectra data |
|
|
41 | 41 | ''' |
|
|
42 | 42 | |
|
|
43 | 43 | CODE = 'spc' |
|
|
44 | 44 | colormap = 'jro' |
|
|
45 | plot_name = 'Spectra' | |
|
|
46 | plot_type = 'pcolor' | |
|
|
45 | 47 | |
|
|
46 | 48 | def setup(self): |
|
|
47 | 49 | self.nplots = len(self.data.channels) |
|
|
48 | 50 | self.ncols = int(numpy.sqrt(self.nplots) + 0.9) |
|
|
49 | 51 | self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9) |
|
|
50 | 52 | self.width = 3.4 * self.ncols |
|
|
51 | 53 | self.height = 3 * self.nrows |
|
|
52 | 54 | self.cb_label = 'dB' |
|
|
53 | 55 | if self.showprofile: |
|
|
54 | 56 | self.width += 0.8 * self.ncols |
|
|
55 | 57 | |
|
|
56 | 58 | self.ylabel = 'Range [km]' |
|
|
57 | 59 | |
|
|
58 | 60 | def plot(self): |
|
|
59 | 61 | if self.xaxis == "frequency": |
|
|
60 | 62 | x = self.data.xrange[0] |
|
|
61 | 63 | self.xlabel = "Frequency (kHz)" |
|
|
62 | 64 | elif self.xaxis == "time": |
|
|
63 | 65 | x = self.data.xrange[1] |
|
|
64 | 66 | self.xlabel = "Time (ms)" |
|
|
65 | 67 | else: |
|
|
66 | 68 | x = self.data.xrange[2] |
|
|
67 | 69 | self.xlabel = "Velocity (m/s)" |
|
|
68 | 70 | |
|
|
69 | 71 | if self.CODE == 'spc_moments': |
|
|
70 | 72 | x = self.data.xrange[2] |
|
|
71 | 73 | self.xlabel = "Velocity (m/s)" |
|
|
72 | 74 | |
|
|
73 | 75 | self.titles = [] |
|
|
74 | 76 | |
|
|
75 | 77 | y = self.data.heights |
|
|
76 | 78 | self.y = y |
|
|
77 | 79 | z = self.data['spc'] |
|
|
78 | 80 | |
|
|
79 | 81 | for n, ax in enumerate(self.axes): |
|
|
80 | 82 | noise = self.data['noise'][n][-1] |
|
|
81 | 83 | if self.CODE == 'spc_moments': |
|
|
82 | 84 | mean = self.data['moments'][n, :, 1, :][-1] |
|
|
83 | 85 | if ax.firsttime: |
|
|
84 | 86 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
85 | 87 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
86 | 88 | self.zmin = self.zmin if self.zmin else numpy.nanmin(z) |
|
|
87 | 89 | self.zmax = self.zmax if self.zmax else numpy.nanmax(z) |
|
|
88 | 90 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
89 | 91 | vmin=self.zmin, |
|
|
90 | 92 | vmax=self.zmax, |
|
|
91 | 93 | cmap=plt.get_cmap(self.colormap) |
|
|
92 | 94 | ) |
|
|
93 | 95 | |
|
|
94 | 96 | if self.showprofile: |
|
|
95 | 97 | ax.plt_profile = self.pf_axes[n].plot( |
|
|
96 | 98 | self.data['rti'][n][-1], y)[0] |
|
|
97 | 99 | ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y, |
|
|
98 | 100 | color="k", linestyle="dashed", lw=1)[0] |
|
|
99 | 101 | if self.CODE == 'spc_moments': |
|
|
100 | 102 | ax.plt_mean = ax.plot(mean, y, color='k')[0] |
|
|
101 | 103 | else: |
|
|
102 | 104 | ax.plt.set_array(z[n].T.ravel()) |
|
|
103 | 105 | if self.showprofile: |
|
|
104 | 106 | ax.plt_profile.set_data(self.data['rti'][n][-1], y) |
|
|
105 | 107 | ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y) |
|
|
106 | 108 | if self.CODE == 'spc_moments': |
|
|
107 | 109 | ax.plt_mean.set_data(mean, y) |
|
|
108 | 110 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
109 | 111 | |
|
|
110 | 112 | |
|
|
111 | 113 | class CrossSpectraPlot(Plot): |
|
|
112 | 114 | |
|
|
113 | 115 | CODE = 'cspc' |
|
|
114 | 116 | colormap = 'jet' |
|
|
117 | plot_name = 'CrossSpectra' | |
|
|
118 | plot_type = 'pcolor' | |
|
|
115 | 119 | zmin_coh = None |
|
|
116 | 120 | zmax_coh = None |
|
|
117 | 121 | zmin_phase = None |
|
|
118 | 122 | zmax_phase = None |
|
|
119 | 123 | |
|
|
120 | 124 | def setup(self): |
|
|
121 | 125 | |
|
|
122 | 126 | self.ncols = 4 |
|
|
123 | 127 | self.nrows = len(self.data.pairs) |
|
|
124 | 128 | self.nplots = self.nrows * 4 |
|
|
125 | 129 | self.width = 3.4 * self.ncols |
|
|
126 | 130 | self.height = 3 * self.nrows |
|
|
127 | 131 | self.ylabel = 'Range [km]' |
|
|
128 | 132 | self.showprofile = False |
|
|
129 | 133 | |
|
|
130 | 134 | def plot(self): |
|
|
131 | 135 | |
|
|
132 | 136 | if self.xaxis == "frequency": |
|
|
133 | 137 | x = self.data.xrange[0] |
|
|
134 | 138 | self.xlabel = "Frequency (kHz)" |
|
|
135 | 139 | elif self.xaxis == "time": |
|
|
136 | 140 | x = self.data.xrange[1] |
|
|
137 | 141 | self.xlabel = "Time (ms)" |
|
|
138 | 142 | else: |
|
|
139 | 143 | x = self.data.xrange[2] |
|
|
140 | 144 | self.xlabel = "Velocity (m/s)" |
|
|
141 | 145 | |
|
|
142 | 146 | self.titles = [] |
|
|
143 | 147 | |
|
|
144 | 148 | y = self.data.heights |
|
|
145 | 149 | self.y = y |
|
|
146 | 150 | spc = self.data['spc'] |
|
|
147 | 151 | cspc = self.data['cspc'] |
|
|
148 | 152 | |
|
|
149 | 153 | for n in range(self.nrows): |
|
|
150 | 154 | noise = self.data['noise'][n][-1] |
|
|
151 | 155 | pair = self.data.pairs[n] |
|
|
152 | 156 | ax = self.axes[4 * n] |
|
|
153 | 157 | spc0 = 10.*numpy.log10(spc[pair[0]]/self.data.factor) |
|
|
154 | 158 | if ax.firsttime: |
|
|
155 | 159 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
156 | 160 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
157 | 161 | self.zmin = self.zmin if self.zmin else numpy.nanmin(spc) |
|
|
158 | 162 | self.zmax = self.zmax if self.zmax else numpy.nanmax(spc) |
|
|
159 | 163 | ax.plt = ax.pcolormesh(x , y , spc0.T, |
|
|
160 | 164 | vmin=self.zmin, |
|
|
161 | 165 | vmax=self.zmax, |
|
|
162 | 166 | cmap=plt.get_cmap(self.colormap) |
|
|
163 | 167 | ) |
|
|
164 | 168 | else: |
|
|
165 | 169 | ax.plt.set_array(spc0.T.ravel()) |
|
|
166 | 170 | self.titles.append('CH {}: {:3.2f}dB'.format(pair[0], noise)) |
|
|
167 | 171 | |
|
|
168 | 172 | ax = self.axes[4 * n + 1] |
|
|
169 | 173 | spc1 = 10.*numpy.log10(spc[pair[1]]/self.data.factor) |
|
|
170 | 174 | if ax.firsttime: |
|
|
171 | 175 | ax.plt = ax.pcolormesh(x , y, spc1.T, |
|
|
172 | 176 | vmin=self.zmin, |
|
|
173 | 177 | vmax=self.zmax, |
|
|
174 | 178 | cmap=plt.get_cmap(self.colormap) |
|
|
175 | 179 | ) |
|
|
176 | 180 | else: |
|
|
177 | 181 | ax.plt.set_array(spc1.T.ravel()) |
|
|
178 | 182 | self.titles.append('CH {}: {:3.2f}dB'.format(pair[1], noise)) |
|
|
179 | 183 | |
|
|
180 | 184 | out = cspc[n] / numpy.sqrt(spc[pair[0]] * spc[pair[1]]) |
|
|
181 | 185 | coh = numpy.abs(out) |
|
|
182 | 186 | phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi |
|
|
183 | 187 | |
|
|
184 | 188 | ax = self.axes[4 * n + 2] |
|
|
185 | 189 | if ax.firsttime: |
|
|
186 | 190 | ax.plt = ax.pcolormesh(x, y, coh.T, |
|
|
187 | 191 | vmin=0, |
|
|
188 | 192 | vmax=1, |
|
|
189 | 193 | cmap=plt.get_cmap(self.colormap_coh) |
|
|
190 | 194 | ) |
|
|
191 | 195 | else: |
|
|
192 | 196 | ax.plt.set_array(coh.T.ravel()) |
|
|
193 | 197 | self.titles.append( |
|
|
194 | 198 | 'Coherence Ch{} * Ch{}'.format(pair[0], pair[1])) |
|
|
195 | 199 | |
|
|
196 | 200 | ax = self.axes[4 * n + 3] |
|
|
197 | 201 | if ax.firsttime: |
|
|
198 | 202 | ax.plt = ax.pcolormesh(x, y, phase.T, |
|
|
199 | 203 | vmin=-180, |
|
|
200 | 204 | vmax=180, |
|
|
201 | 205 | cmap=plt.get_cmap(self.colormap_phase) |
|
|
202 | 206 | ) |
|
|
203 | 207 | else: |
|
|
204 | 208 | ax.plt.set_array(phase.T.ravel()) |
|
|
205 | 209 | self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1])) |
|
|
206 | 210 | |
|
|
207 | 211 | |
|
|
208 | 212 | class SpectralMomentsPlot(SpectraPlot): |
|
|
209 | 213 | ''' |
|
|
210 | 214 | Plot for Spectral Moments |
|
|
211 | 215 | ''' |
|
|
212 | 216 | CODE = 'spc_moments' |
|
|
213 | 217 | colormap = 'jro' |
|
|
218 | plot_name = 'SpectralMoments' | |
|
|
219 | plot_type = 'pcolor' | |
|
|
214 | 220 | |
|
|
215 | 221 | |
|
|
216 | 222 | class RTIPlot(Plot): |
|
|
217 | 223 | ''' |
|
|
218 | 224 | Plot for RTI data |
|
|
219 | 225 | ''' |
|
|
220 | 226 | |
|
|
221 | 227 | CODE = 'rti' |
|
|
222 | 228 | colormap = 'jro' |
|
|
229 | plot_name = 'RTI' | |
|
|
230 | plot_type = 'pcolorbuffer' | |
|
|
223 | 231 | |
|
|
224 | 232 | def setup(self): |
|
|
225 | 233 | self.xaxis = 'time' |
|
|
226 | 234 | self.ncols = 1 |
|
|
227 | 235 | self.nrows = len(self.data.channels) |
|
|
228 | 236 | self.nplots = len(self.data.channels) |
|
|
229 | 237 | self.ylabel = 'Range [km]' |
|
|
230 | 238 | self.cb_label = 'dB' |
|
|
231 | 239 | self.titles = ['{} Channel {}'.format( |
|
|
232 | 240 | self.CODE.upper(), x) for x in range(self.nrows)] |
|
|
233 | 241 | |
|
|
234 | 242 | def plot(self): |
|
|
235 | 243 | self.x = self.data.times |
|
|
236 | 244 | self.y = self.data.heights |
|
|
237 | 245 | self.z = self.data[self.CODE] |
|
|
238 | 246 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
239 | 247 | |
|
|
240 | 248 | if self.decimation is None: |
|
|
241 | 249 | x, y, z = self.fill_gaps(self.x, self.y, self.z) |
|
|
242 | 250 | else: |
|
|
243 | 251 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
244 | 252 | |
|
|
245 | 253 | for n, ax in enumerate(self.axes): |
|
|
246 | 254 | self.zmin = self.zmin if self.zmin else numpy.min(self.z) |
|
|
247 | 255 | self.zmax = self.zmax if self.zmax else numpy.max(self.z) |
|
|
248 | 256 | if ax.firsttime: |
|
|
249 | 257 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
250 | 258 | vmin=self.zmin, |
|
|
251 | 259 | vmax=self.zmax, |
|
|
252 | 260 | cmap=plt.get_cmap(self.colormap) |
|
|
253 | 261 | ) |
|
|
254 | 262 | if self.showprofile: |
|
|
255 | 263 | ax.plot_profile = self.pf_axes[n].plot( |
|
|
256 | 264 | self.data['rti'][n][-1], self.y)[0] |
|
|
257 | 265 | ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y, |
|
|
258 | 266 | color="k", linestyle="dashed", lw=1)[0] |
|
|
259 | 267 | else: |
|
|
260 | 268 | ax.collections.remove(ax.collections[0]) |
|
|
261 | 269 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
262 | 270 | vmin=self.zmin, |
|
|
263 | 271 | vmax=self.zmax, |
|
|
264 | 272 | cmap=plt.get_cmap(self.colormap) |
|
|
265 | 273 | ) |
|
|
266 | 274 | if self.showprofile: |
|
|
267 | 275 | ax.plot_profile.set_data(self.data['rti'][n][-1], self.y) |
|
|
268 | 276 | ax.plot_noise.set_data(numpy.repeat( |
|
|
269 | 277 | self.data['noise'][n][-1], len(self.y)), self.y) |
|
|
270 | 278 | |
|
|
271 | 279 | |
|
|
272 | 280 | class CoherencePlot(RTIPlot): |
|
|
273 | 281 | ''' |
|
|
274 | 282 | Plot for Coherence data |
|
|
275 | 283 | ''' |
|
|
276 | 284 | |
|
|
277 | 285 | CODE = 'coh' |
|
|
286 | plot_name = 'Coherence' | |
|
|
278 | 287 | |
|
|
279 | 288 | def setup(self): |
|
|
280 | 289 | self.xaxis = 'time' |
|
|
281 | 290 | self.ncols = 1 |
|
|
282 | 291 | self.nrows = len(self.data.pairs) |
|
|
283 | 292 | self.nplots = len(self.data.pairs) |
|
|
284 | 293 | self.ylabel = 'Range [km]' |
|
|
285 | 294 | if self.CODE == 'coh': |
|
|
286 | 295 | self.cb_label = '' |
|
|
287 | 296 | self.titles = [ |
|
|
288 | 297 | 'Coherence Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
289 | 298 | else: |
|
|
290 | 299 | self.cb_label = 'Degrees' |
|
|
291 | 300 | self.titles = [ |
|
|
292 | 301 | 'Phase Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
293 | 302 | |
|
|
294 | 303 | |
|
|
295 | 304 | class PhasePlot(CoherencePlot): |
|
|
296 | 305 | ''' |
|
|
297 | 306 | Plot for Phase map data |
|
|
298 | 307 | ''' |
|
|
299 | 308 | |
|
|
300 | 309 | CODE = 'phase' |
|
|
301 | 310 | colormap = 'seismic' |
|
|
311 | plot_name = 'Phase' | |
|
|
302 | 312 | |
|
|
303 | 313 | |
|
|
304 | 314 | class NoisePlot(Plot): |
|
|
305 | 315 | ''' |
|
|
306 | 316 | Plot for noise |
|
|
307 | 317 | ''' |
|
|
308 | 318 | |
|
|
309 | 319 | CODE = 'noise' |
|
|
320 | plot_name = 'Noise' | |
|
|
321 | plot_type = 'scatterbuffer' | |
|
|
322 | ||
|
|
310 | 323 | |
|
|
311 | 324 | def setup(self): |
|
|
312 | 325 | self.xaxis = 'time' |
|
|
313 | 326 | self.ncols = 1 |
|
|
314 | 327 | self.nrows = 1 |
|
|
315 | 328 | self.nplots = 1 |
|
|
316 | 329 | self.ylabel = 'Intensity [dB]' |
|
|
317 | 330 | self.titles = ['Noise'] |
|
|
318 | 331 | self.colorbar = False |
|
|
319 | 332 | |
|
|
320 | 333 | def plot(self): |
|
|
321 | 334 | |
|
|
322 | 335 | x = self.data.times |
|
|
323 | 336 | xmin = self.data.min_time |
|
|
324 | 337 | xmax = xmin + self.xrange * 60 * 60 |
|
|
325 | 338 | Y = self.data[self.CODE] |
|
|
326 | 339 | |
|
|
327 | 340 | if self.axes[0].firsttime: |
|
|
328 | 341 | for ch in self.data.channels: |
|
|
329 | 342 | y = Y[ch] |
|
|
330 | 343 | self.axes[0].plot(x, y, lw=1, label='Ch{}'.format(ch)) |
|
|
331 | 344 | plt.legend() |
|
|
332 | 345 | else: |
|
|
333 | 346 | for ch in self.data.channels: |
|
|
334 | 347 | y = Y[ch] |
|
|
335 | 348 | self.axes[0].lines[ch].set_data(x, y) |
|
|
336 | 349 | |
|
|
337 | 350 | self.ymin = numpy.nanmin(Y) - 5 |
|
|
338 | 351 | self.ymax = numpy.nanmax(Y) + 5 |
|
|
339 | 352 | |
|
|
340 | 353 | |
|
|
341 | 354 | class SnrPlot(RTIPlot): |
|
|
342 | 355 | ''' |
|
|
343 | 356 | Plot for SNR Data |
|
|
344 | 357 | ''' |
|
|
345 | 358 | |
|
|
346 | 359 | CODE = 'snr' |
|
|
347 | 360 | colormap = 'jet' |
|
|
361 | plot_name = 'SNR' | |
|
|
348 | 362 | |
|
|
349 | 363 | |
|
|
350 | 364 | class DopplerPlot(RTIPlot): |
|
|
351 | 365 | ''' |
|
|
352 | 366 | Plot for DOPPLER Data |
|
|
353 | 367 | ''' |
|
|
354 | 368 | |
|
|
355 | 369 | CODE = 'dop' |
|
|
356 | 370 | colormap = 'jet' |
|
|
371 | plot_name = 'Doppler' | |
|
|
357 | 372 | |
|
|
358 | 373 | |
|
|
359 | 374 | class SkyMapPlot(Plot): |
|
|
360 | 375 | ''' |
|
|
361 | 376 | Plot for meteors detection data |
|
|
362 | 377 | ''' |
|
|
363 | 378 | |
|
|
364 | 379 | CODE = 'param' |
|
|
365 | 380 | |
|
|
366 | 381 | def setup(self): |
|
|
367 | 382 | |
|
|
368 | 383 | self.ncols = 1 |
|
|
369 | 384 | self.nrows = 1 |
|
|
370 | 385 | self.width = 7.2 |
|
|
371 | 386 | self.height = 7.2 |
|
|
372 | 387 | self.nplots = 1 |
|
|
373 | 388 | self.xlabel = 'Zonal Zenith Angle (deg)' |
|
|
374 | 389 | self.ylabel = 'Meridional Zenith Angle (deg)' |
|
|
375 | 390 | self.polar = True |
|
|
376 | 391 | self.ymin = -180 |
|
|
377 | 392 | self.ymax = 180 |
|
|
378 | 393 | self.colorbar = False |
|
|
379 | 394 | |
|
|
380 | 395 | def plot(self): |
|
|
381 | 396 | |
|
|
382 | 397 | arrayParameters = numpy.concatenate(self.data['param']) |
|
|
383 | 398 | error = arrayParameters[:, -1] |
|
|
384 | 399 | indValid = numpy.where(error == 0)[0] |
|
|
385 | 400 | finalMeteor = arrayParameters[indValid, :] |
|
|
386 | 401 | finalAzimuth = finalMeteor[:, 3] |
|
|
387 | 402 | finalZenith = finalMeteor[:, 4] |
|
|
388 | 403 | |
|
|
389 | 404 | x = finalAzimuth * numpy.pi / 180 |
|
|
390 | 405 | y = finalZenith |
|
|
391 | 406 | |
|
|
392 | 407 | ax = self.axes[0] |
|
|
393 | 408 | |
|
|
394 | 409 | if ax.firsttime: |
|
|
395 | 410 | ax.plot = ax.plot(x, y, 'bo', markersize=5)[0] |
|
|
396 | 411 | else: |
|
|
397 | 412 | ax.plot.set_data(x, y) |
|
|
398 | 413 | |
|
|
399 | 414 | dt1 = self.getDateTime(self.data.min_time).strftime('%y/%m/%d %H:%M:%S') |
|
|
400 | 415 | dt2 = self.getDateTime(self.data.max_time).strftime('%y/%m/%d %H:%M:%S') |
|
|
401 | 416 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, |
|
|
402 | 417 | dt2, |
|
|
403 | 418 | len(x)) |
|
|
404 | 419 | self.titles[0] = title |
|
|
405 | 420 | |
|
|
406 | 421 | |
|
|
407 | 422 | class ParametersPlot(RTIPlot): |
|
|
408 | 423 | ''' |
|
|
409 | 424 | Plot for data_param object |
|
|
410 | 425 | ''' |
|
|
411 | 426 | |
|
|
412 | 427 | CODE = 'param' |
|
|
413 | 428 | colormap = 'seismic' |
|
|
429 | plot_name = 'Parameters' | |
|
|
414 | 430 | |
|
|
415 | 431 | def setup(self): |
|
|
416 | 432 | self.xaxis = 'time' |
|
|
417 | 433 | self.ncols = 1 |
|
|
418 | 434 | self.nrows = self.data.shape(self.CODE)[0] |
|
|
419 | 435 | self.nplots = self.nrows |
|
|
420 | 436 | if self.showSNR: |
|
|
421 | 437 | self.nrows += 1 |
|
|
422 | 438 | self.nplots += 1 |
|
|
423 | 439 | |
|
|
424 | 440 | self.ylabel = 'Height [km]' |
|
|
425 | 441 | if not self.titles: |
|
|
426 | 442 | self.titles = self.data.parameters \ |
|
|
427 | 443 | if self.data.parameters else ['Param {}'.format(x) for x in range(self.nrows)] |
|
|
428 | 444 | if self.showSNR: |
|
|
429 | 445 | self.titles.append('SNR') |
|
|
430 | 446 | |
|
|
431 | 447 | def plot(self): |
|
|
432 | 448 | self.data.normalize_heights() |
|
|
433 | 449 | self.x = self.data.times |
|
|
434 | 450 | self.y = self.data.heights |
|
|
435 | 451 | if self.showSNR: |
|
|
436 | 452 | self.z = numpy.concatenate( |
|
|
437 | 453 | (self.data[self.CODE], self.data['snr']) |
|
|
438 | 454 | ) |
|
|
439 | 455 | else: |
|
|
440 | 456 | self.z = self.data[self.CODE] |
|
|
441 | 457 | |
|
|
442 | 458 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
443 | 459 | |
|
|
444 | 460 | if self.decimation is None: |
|
|
445 | 461 | x, y, z = self.fill_gaps(self.x, self.y, self.z) |
|
|
446 | 462 | else: |
|
|
447 | 463 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
448 | 464 | |
|
|
449 | 465 | for n, ax in enumerate(self.axes): |
|
|
450 | 466 | |
|
|
451 | 467 | self.zmax = self.zmax if self.zmax is not None else numpy.max( |
|
|
452 | 468 | self.z[n]) |
|
|
453 | 469 | self.zmin = self.zmin if self.zmin is not None else numpy.min( |
|
|
454 | 470 | self.z[n]) |
|
|
455 | 471 | |
|
|
456 | 472 | if ax.firsttime: |
|
|
457 | 473 | if self.zlimits is not None: |
|
|
458 | 474 | self.zmin, self.zmax = self.zlimits[n] |
|
|
459 | 475 | |
|
|
460 | 476 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], |
|
|
461 | 477 | vmin=self.zmin, |
|
|
462 | 478 | vmax=self.zmax, |
|
|
463 | 479 | cmap=self.cmaps[n] |
|
|
464 | 480 | ) |
|
|
465 | 481 | else: |
|
|
466 | 482 | if self.zlimits is not None: |
|
|
467 | 483 | self.zmin, self.zmax = self.zlimits[n] |
|
|
468 | 484 | ax.collections.remove(ax.collections[0]) |
|
|
469 | 485 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], |
|
|
470 | 486 | vmin=self.zmin, |
|
|
471 | 487 | vmax=self.zmax, |
|
|
472 | 488 | cmap=self.cmaps[n] |
|
|
473 | 489 | ) |
|
|
474 | 490 | |
|
|
475 | 491 | |
|
|
476 | 492 | class OutputPlot(ParametersPlot): |
|
|
477 | 493 | ''' |
|
|
478 | 494 | Plot data_output object |
|
|
479 | 495 | ''' |
|
|
480 | 496 | |
|
|
481 | 497 | CODE = 'output' |
|
|
482 | 498 | colormap = 'seismic' |
|
|
499 | plot_name = 'Output' | |
|
|
483 | 500 | |
|
|
484 | 501 | |
|
|
485 | 502 | class PolarMapPlot(Plot): |
|
|
486 | 503 | ''' |
|
|
487 | 504 | Plot for weather radar |
|
|
488 | 505 | ''' |
|
|
489 | 506 | |
|
|
490 | 507 | CODE = 'param' |
|
|
491 | 508 | colormap = 'seismic' |
|
|
492 | 509 | |
|
|
493 | 510 | def setup(self): |
|
|
494 | 511 | self.ncols = 1 |
|
|
495 | 512 | self.nrows = 1 |
|
|
496 | 513 | self.width = 9 |
|
|
497 | 514 | self.height = 8 |
|
|
498 | 515 | self.mode = self.data.meta['mode'] |
|
|
499 | 516 | if self.channels is not None: |
|
|
500 | 517 | self.nplots = len(self.channels) |
|
|
501 | 518 | self.nrows = len(self.channels) |
|
|
502 | 519 | else: |
|
|
503 | 520 | self.nplots = self.data.shape(self.CODE)[0] |
|
|
504 | 521 | self.nrows = self.nplots |
|
|
505 | 522 | self.channels = list(range(self.nplots)) |
|
|
506 | 523 | if self.mode == 'E': |
|
|
507 | 524 | self.xlabel = 'Longitude' |
|
|
508 | 525 | self.ylabel = 'Latitude' |
|
|
509 | 526 | else: |
|
|
510 | 527 | self.xlabel = 'Range (km)' |
|
|
511 | 528 | self.ylabel = 'Height (km)' |
|
|
512 | 529 | self.bgcolor = 'white' |
|
|
513 | 530 | self.cb_labels = self.data.meta['units'] |
|
|
514 | 531 | self.lat = self.data.meta['latitude'] |
|
|
515 | 532 | self.lon = self.data.meta['longitude'] |
|
|
516 | 533 | self.xmin, self.xmax = float( |
|
|
517 | 534 | km2deg(self.xmin) + self.lon), float(km2deg(self.xmax) + self.lon) |
|
|
518 | 535 | self.ymin, self.ymax = float( |
|
|
519 | 536 | km2deg(self.ymin) + self.lat), float(km2deg(self.ymax) + self.lat) |
|
|
520 | 537 | # self.polar = True |
|
|
521 | 538 | |
|
|
522 | 539 | def plot(self): |
|
|
523 | 540 | |
|
|
524 | 541 | for n, ax in enumerate(self.axes): |
|
|
525 | 542 | data = self.data['param'][self.channels[n]] |
|
|
526 | 543 | |
|
|
527 | 544 | zeniths = numpy.linspace( |
|
|
528 | 545 | 0, self.data.meta['max_range'], data.shape[1]) |
|
|
529 | 546 | if self.mode == 'E': |
|
|
530 | 547 | azimuths = -numpy.radians(self.data.heights)+numpy.pi/2 |
|
|
531 | 548 | r, theta = numpy.meshgrid(zeniths, azimuths) |
|
|
532 | 549 | x, y = r*numpy.cos(theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])), r*numpy.sin( |
|
|
533 | 550 | theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])) |
|
|
534 | 551 | x = km2deg(x) + self.lon |
|
|
535 | 552 | y = km2deg(y) + self.lat |
|
|
536 | 553 | else: |
|
|
537 | 554 | azimuths = numpy.radians(self.data.heights) |
|
|
538 | 555 | r, theta = numpy.meshgrid(zeniths, azimuths) |
|
|
539 | 556 | x, y = r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
540 | 557 | self.y = zeniths |
|
|
541 | 558 | |
|
|
542 | 559 | if ax.firsttime: |
|
|
543 | 560 | if self.zlimits is not None: |
|
|
544 | 561 | self.zmin, self.zmax = self.zlimits[n] |
|
|
545 | 562 | ax.plt = ax.pcolormesh( # r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
546 | 563 | x, y, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
547 | 564 | vmin=self.zmin, |
|
|
548 | 565 | vmax=self.zmax, |
|
|
549 | 566 | cmap=self.cmaps[n]) |
|
|
550 | 567 | else: |
|
|
551 | 568 | if self.zlimits is not None: |
|
|
552 | 569 | self.zmin, self.zmax = self.zlimits[n] |
|
|
553 | 570 | ax.collections.remove(ax.collections[0]) |
|
|
554 | 571 | ax.plt = ax.pcolormesh( # r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
555 | 572 | x, y, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
556 | 573 | vmin=self.zmin, |
|
|
557 | 574 | vmax=self.zmax, |
|
|
558 | 575 | cmap=self.cmaps[n]) |
|
|
559 | 576 | |
|
|
560 | 577 | if self.mode == 'A': |
|
|
561 | 578 | continue |
|
|
562 | 579 | |
|
|
563 | 580 | # plot district names |
|
|
564 | 581 | f = open('/data/workspace/schain_scripts/distrito.csv') |
|
|
565 | 582 | for line in f: |
|
|
566 | 583 | label, lon, lat = [s.strip() for s in line.split(',') if s] |
|
|
567 | 584 | lat = float(lat) |
|
|
568 | 585 | lon = float(lon) |
|
|
569 | 586 | # ax.plot(lon, lat, '.b', ms=2) |
|
|
570 | 587 | ax.text(lon, lat, label.decode('utf8'), ha='center', |
|
|
571 | 588 | va='bottom', size='8', color='black') |
|
|
572 | 589 | |
|
|
573 | 590 | # plot limites |
|
|
574 | 591 | limites = [] |
|
|
575 | 592 | tmp = [] |
|
|
576 | 593 | for line in open('/data/workspace/schain_scripts/lima.csv'): |
|
|
577 | 594 | if '#' in line: |
|
|
578 | 595 | if tmp: |
|
|
579 | 596 | limites.append(tmp) |
|
|
580 | 597 | tmp = [] |
|
|
581 | 598 | continue |
|
|
582 | 599 | values = line.strip().split(',') |
|
|
583 | 600 | tmp.append((float(values[0]), float(values[1]))) |
|
|
584 | 601 | for points in limites: |
|
|
585 | 602 | ax.add_patch( |
|
|
586 | 603 | Polygon(points, ec='k', fc='none', ls='--', lw=0.5)) |
|
|
587 | 604 | |
|
|
588 | 605 | # plot Cuencas |
|
|
589 | 606 | for cuenca in ('rimac', 'lurin', 'mala', 'chillon', 'chilca', 'chancay-huaral'): |
|
|
590 | 607 | f = open('/data/workspace/schain_scripts/{}.csv'.format(cuenca)) |
|
|
591 | 608 | values = [line.strip().split(',') for line in f] |
|
|
592 | 609 | points = [(float(s[0]), float(s[1])) for s in values] |
|
|
593 | 610 | ax.add_patch(Polygon(points, ec='b', fc='none')) |
|
|
594 | 611 | |
|
|
595 | 612 | # plot grid |
|
|
596 | 613 | for r in (15, 30, 45, 60): |
|
|
597 | 614 | ax.add_artist(plt.Circle((self.lon, self.lat), |
|
|
598 | 615 | km2deg(r), color='0.6', fill=False, lw=0.2)) |
|
|
599 | 616 | ax.text( |
|
|
600 | 617 | self.lon + (km2deg(r))*numpy.cos(60*numpy.pi/180), |
|
|
601 | 618 | self.lat + (km2deg(r))*numpy.sin(60*numpy.pi/180), |
|
|
602 | 619 | '{}km'.format(r), |
|
|
603 | 620 | ha='center', va='bottom', size='8', color='0.6', weight='heavy') |
|
|
604 | 621 | |
|
|
605 | 622 | if self.mode == 'E': |
|
|
606 | 623 | title = 'El={}$^\circ$'.format(self.data.meta['elevation']) |
|
|
607 | 624 | label = 'E{:02d}'.format(int(self.data.meta['elevation'])) |
|
|
608 | 625 | else: |
|
|
609 | 626 | title = 'Az={}$^\circ$'.format(self.data.meta['azimuth']) |
|
|
610 | 627 | label = 'A{:02d}'.format(int(self.data.meta['azimuth'])) |
|
|
611 | 628 | |
|
|
612 | 629 | self.save_labels = ['{}-{}'.format(lbl, label) for lbl in self.labels] |
|
|
613 | 630 | self.titles = ['{} {}'.format( |
|
|
614 | 631 | self.data.parameters[x], title) for x in self.channels] |
|
|
615 | 632 | |
|
|
616 | 633 | |
|
|
617 | 634 | class ScopePlot(Plot): |
|
|
618 | 635 | |
|
|
619 | 636 | ''' |
|
|
620 | 637 | Plot for Scope |
|
|
621 | 638 | ''' |
|
|
622 | 639 | |
|
|
623 | 640 | CODE = 'scope' |
|
|
641 | plot_name = 'Scope' | |
|
|
642 | plot_type = 'scatter' | |
|
|
624 | 643 | |
|
|
625 | 644 | def setup(self): |
|
|
626 | 645 | |
|
|
627 | 646 | self.xaxis = 'Range (Km)' |
|
|
628 | 647 | self.ncols = 1 |
|
|
629 | 648 | self.nrows = 1 |
|
|
630 | 649 | self.nplots = 1 |
|
|
631 | 650 | self.ylabel = 'Intensity [dB]' |
|
|
632 | 651 | self.titles = ['Scope'] |
|
|
633 | 652 | self.colorbar = False |
|
|
634 | 653 | colspan = 3 |
|
|
635 | 654 | rowspan = 1 |
|
|
636 | 655 | |
|
|
637 | 656 | def plot_iq(self, x, y, channelIndexList, thisDatetime, wintitle): |
|
|
638 | 657 | |
|
|
639 | 658 | yreal = y[channelIndexList,:].real |
|
|
640 | 659 | yimag = y[channelIndexList,:].imag |
|
|
641 | 660 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
642 | 661 | self.xlabel = "Range (Km)" |
|
|
643 | 662 | self.ylabel = "Intensity - IQ" |
|
|
644 | 663 | |
|
|
645 | 664 | self.y = yreal |
|
|
646 | 665 | self.x = x |
|
|
647 | 666 | self.xmin = min(x) |
|
|
648 | 667 | self.xmax = max(x) |
|
|
649 | 668 | |
|
|
650 | 669 | |
|
|
651 | 670 | self.titles[0] = title |
|
|
652 | 671 | |
|
|
653 | 672 | for i,ax in enumerate(self.axes): |
|
|
654 | 673 | title = "Channel %d" %(i) |
|
|
655 | 674 | if ax.firsttime: |
|
|
656 | 675 | ax.plt_r = ax.plot(x, yreal[i,:], color='b')[0] |
|
|
657 | 676 | ax.plt_i = ax.plot(x, yimag[i,:], color='r')[0] |
|
|
658 | 677 | else: |
|
|
659 | 678 | #pass |
|
|
660 | 679 | ax.plt_r.set_data(x, yreal[i,:]) |
|
|
661 | 680 | ax.plt_i.set_data(x, yimag[i,:]) |
|
|
662 | 681 | |
|
|
663 | 682 | def plot_power(self, x, y, channelIndexList, thisDatetime, wintitle): |
|
|
664 | 683 | y = y[channelIndexList,:] * numpy.conjugate(y[channelIndexList,:]) |
|
|
665 | 684 | yreal = y.real |
|
|
666 | 685 | self.y = yreal |
|
|
667 | 686 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
668 | 687 | self.xlabel = "Range (Km)" |
|
|
669 | 688 | self.ylabel = "Intensity" |
|
|
670 | 689 | self.xmin = min(x) |
|
|
671 | 690 | self.xmax = max(x) |
|
|
672 | 691 | |
|
|
673 | 692 | |
|
|
674 | 693 | self.titles[0] = title |
|
|
675 | 694 | |
|
|
676 | 695 | for i,ax in enumerate(self.axes): |
|
|
677 | 696 | title = "Channel %d" %(i) |
|
|
678 | 697 | |
|
|
679 | 698 | ychannel = yreal[i,:] |
|
|
680 | 699 | |
|
|
681 | 700 | if ax.firsttime: |
|
|
682 | 701 | ax.plt_r = ax.plot(x, ychannel)[0] |
|
|
683 | 702 | else: |
|
|
684 | 703 | #pass |
|
|
685 | 704 | ax.plt_r.set_data(x, ychannel) |
|
|
686 | 705 | |
|
|
687 | 706 | |
|
|
688 | 707 | def plot(self): |
|
|
689 | 708 | |
|
|
690 | 709 | if self.channels: |
|
|
691 | 710 | channels = self.channels |
|
|
692 | 711 | else: |
|
|
693 | 712 | channels = self.data.channels |
|
|
694 | 713 | |
|
|
695 | 714 | |
|
|
696 | 715 | |
|
|
697 | 716 | thisDatetime = datetime.datetime.utcfromtimestamp(self.data.times[-1]) |
|
|
698 | 717 | |
|
|
699 | 718 | scope = self.data['scope'] |
|
|
700 | 719 | |
|
|
701 | 720 | |
|
|
702 | 721 | if self.data.flagDataAsBlock: |
|
|
703 | 722 | |
|
|
704 | 723 | for i in range(self.data.nProfiles): |
|
|
705 | 724 | |
|
|
706 | 725 | wintitle1 = " [Profile = %d] " %i |
|
|
707 | 726 | |
|
|
708 | 727 | if self.type == "power": |
|
|
709 | 728 | self.plot_power(self.data.heights, |
|
|
710 | 729 | scope[:,i,:], |
|
|
711 | 730 | channels, |
|
|
712 | 731 | thisDatetime, |
|
|
713 | 732 | wintitle1 |
|
|
714 | 733 | ) |
|
|
715 | 734 | |
|
|
716 | 735 | if self.type == "iq": |
|
|
717 | 736 | self.plot_iq(self.data.heights, |
|
|
718 | 737 | scope[:,i,:], |
|
|
719 | 738 | channels, |
|
|
720 | 739 | thisDatetime, |
|
|
721 | 740 | wintitle1 |
|
|
722 | 741 | ) |
|
|
723 | ||
|
|
724 | ||
|
|
725 | ||
|
|
726 | ||
|
|
727 | ||
|
|
728 | 742 | else: |
|
|
729 | 743 | wintitle = " [Profile = %d] " %self.data.profileIndex |
|
|
730 | 744 | |
|
|
731 | 745 | if self.type == "power": |
|
|
732 | 746 | self.plot_power(self.data.heights, |
|
|
733 | 747 | scope, |
|
|
734 | 748 | channels, |
|
|
735 | 749 | thisDatetime, |
|
|
736 | 750 | wintitle |
|
|
737 | 751 | ) |
|
|
738 | 752 | |
|
|
739 | 753 | if self.type == "iq": |
|
|
740 | 754 | self.plot_iq(self.data.heights, |
|
|
741 | 755 | scope, |
|
|
742 | 756 | channels, |
|
|
743 | 757 | thisDatetime, |
|
|
744 | 758 | wintitle |
|
|
745 | 759 | ) |
|
|
746 | ||
|
|
747 | ||
|
|
748 | No newline at end of file | |
| @@ -1,368 +1,408 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Nov 9, 2016 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj- LouVD |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | |
|
|
8 | 8 | import os |
|
|
9 | 9 | import sys |
|
|
10 | 10 | import time |
|
|
11 | 11 | import glob |
|
|
12 | 12 | import datetime |
|
|
13 | 13 | |
|
|
14 | 14 | import numpy |
|
|
15 | 15 | |
|
|
16 | 16 | from schainpy.model.proc.jroproc_base import ProcessingUnit, MPDecorator |
|
|
17 | 17 | from schainpy.model.data.jrodata import Parameters |
|
|
18 | 18 | from schainpy.model.io.jroIO_base import JRODataReader, isNumber |
|
|
19 | 19 | from schainpy.utils import log |
|
|
20 | 20 | |
|
|
21 | 21 | FILE_HEADER_STRUCTURE = numpy.dtype([ |
|
|
22 | 22 | ('FMN', '<u4'), |
|
|
23 | 23 | ('nrec', '<u4'), |
|
|
24 | 24 | ('fr_offset', '<u4'), |
|
|
25 | 25 | ('id', '<u4'), |
|
|
26 | 26 | ('site', 'u1', (32,)) |
|
|
27 | 27 | ]) |
|
|
28 | 28 | |
|
|
29 | 29 | REC_HEADER_STRUCTURE = numpy.dtype([ |
|
|
30 | 30 | ('rmn', '<u4'), |
|
|
31 | 31 | ('rcounter', '<u4'), |
|
|
32 | 32 | ('nr_offset', '<u4'), |
|
|
33 | 33 | ('tr_offset', '<u4'), |
|
|
34 | 34 | ('time', '<u4'), |
|
|
35 | 35 | ('time_msec', '<u4'), |
|
|
36 | 36 | ('tag', 'u1', (32,)), |
|
|
37 | 37 | ('comments', 'u1', (32,)), |
|
|
38 | 38 | ('lat', '<f4'), |
|
|
39 | 39 | ('lon', '<f4'), |
|
|
40 | 40 | ('gps_status', '<u4'), |
|
|
41 | 41 | ('freq', '<u4'), |
|
|
42 | 42 | ('freq0', '<u4'), |
|
|
43 | 43 | ('nchan', '<u4'), |
|
|
44 | 44 | ('delta_r', '<u4'), |
|
|
45 | 45 | ('nranges', '<u4'), |
|
|
46 | 46 | ('r0', '<u4'), |
|
|
47 | 47 | ('prf', '<u4'), |
|
|
48 | 48 | ('ncoh', '<u4'), |
|
|
49 | 49 | ('npoints', '<u4'), |
|
|
50 | 50 | ('polarization', '<i4'), |
|
|
51 | 51 | ('rx_filter', '<u4'), |
|
|
52 | 52 | ('nmodes', '<u4'), |
|
|
53 | 53 | ('dmode_index', '<u4'), |
|
|
54 | 54 | ('dmode_rngcorr', '<u4'), |
|
|
55 | 55 | ('nrxs', '<u4'), |
|
|
56 | 56 | ('acf_length', '<u4'), |
|
|
57 | 57 | ('acf_lags', '<u4'), |
|
|
58 | 58 | ('sea_to_atmos', '<f4'), |
|
|
59 | 59 | ('sea_notch', '<u4'), |
|
|
60 | 60 | ('lh_sea', '<u4'), |
|
|
61 | 61 | ('hh_sea', '<u4'), |
|
|
62 | 62 | ('nbins_sea', '<u4'), |
|
|
63 | 63 | ('min_snr', '<f4'), |
|
|
64 | 64 | ('min_cc', '<f4'), |
|
|
65 | 65 | ('max_time_diff', '<f4') |
|
|
66 | 66 | ]) |
|
|
67 | 67 | |
|
|
68 | 68 | DATA_STRUCTURE = numpy.dtype([ |
|
|
69 | 69 | ('range', '<u4'), |
|
|
70 | 70 | ('status', '<u4'), |
|
|
71 | 71 | ('zonal', '<f4'), |
|
|
72 | 72 | ('meridional', '<f4'), |
|
|
73 | 73 | ('vertical', '<f4'), |
|
|
74 | 74 | ('zonal_a', '<f4'), |
|
|
75 | 75 | ('meridional_a', '<f4'), |
|
|
76 | 76 | ('corrected_fading', '<f4'), # seconds |
|
|
77 | 77 | ('uncorrected_fading', '<f4'), # seconds |
|
|
78 | 78 | ('time_diff', '<f4'), |
|
|
79 | 79 | ('major_axis', '<f4'), |
|
|
80 | 80 | ('axial_ratio', '<f4'), |
|
|
81 | 81 | ('orientation', '<f4'), |
|
|
82 | 82 | ('sea_power', '<u4'), |
|
|
83 | 83 | ('sea_algorithm', '<u4') |
|
|
84 | 84 | ]) |
|
|
85 | 85 | |
|
|
86 | 86 | @MPDecorator |
|
|
87 | 87 | class BLTRParamReader(JRODataReader, ProcessingUnit): |
|
|
88 | 88 | ''' |
|
|
89 |
Boundary Layer and Tropospheric Radar (BLTR) reader, Wind velocities and SNR |
|
|
|
89 | Boundary Layer and Tropospheric Radar (BLTR) reader, Wind velocities and SNR | |
|
|
90 | from *.sswma files | |
|
|
90 | 91 | ''' |
|
|
91 | 92 | |
|
|
92 | 93 | ext = '.sswma' |
|
|
93 | 94 | |
|
|
94 | 95 | def __init__(self): |
|
|
95 | 96 | |
|
|
96 | 97 | ProcessingUnit.__init__(self) |
|
|
97 | 98 | |
|
|
98 | 99 | self.dataOut = Parameters() |
|
|
99 | 100 | self.counter_records = 0 |
|
|
100 | 101 | self.flagNoMoreFiles = 0 |
|
|
101 | 102 | self.isConfig = False |
|
|
102 | 103 | self.filename = None |
|
|
103 | 104 | |
|
|
104 | 105 | def setup(self, |
|
|
105 | 106 | path=None, |
|
|
106 | 107 | startDate=None, |
|
|
107 | 108 | endDate=None, |
|
|
108 | 109 | ext=None, |
|
|
109 | 110 | startTime=datetime.time(0, 0, 0), |
|
|
110 | 111 | endTime=datetime.time(23, 59, 59), |
|
|
111 | 112 | timezone=0, |
|
|
112 | 113 | status_value=0, |
|
|
113 | 114 | **kwargs): |
|
|
114 | 115 | self.path = path |
|
|
115 | 116 | self.startDate = startDate |
|
|
116 | 117 | self.endDate = endDate |
|
|
117 | 118 | self.startTime = startTime |
|
|
118 | 119 | self.endTime = endTime |
|
|
119 | 120 | self.status_value = status_value |
|
|
120 | 121 | self.datatime = datetime.datetime(1900,1,1) |
|
|
122 | self.delay = kwargs.get('delay', 10) | |
|
|
123 | self.online = kwargs.get('online', False) | |
|
|
124 | self.nTries = kwargs.get('nTries', 3) | |
|
|
121 | 125 | |
|
|
122 | 126 | if self.path is None: |
|
|
123 | 127 | raise ValueError("The path is not valid") |
|
|
124 | 128 | |
|
|
125 | 129 | if ext is None: |
|
|
126 | 130 | ext = self.ext |
|
|
127 | 131 | |
|
|
128 | self.search_files(self.path, startDate, endDate, ext) | |
|
|
132 | self.fileList = self.search_files(self.path, startDate, endDate, ext) | |
|
|
129 | 133 | self.timezone = timezone |
|
|
130 | 134 | self.fileIndex = 0 |
|
|
131 | 135 | |
|
|
132 | 136 | if not self.fileList: |
|
|
133 | 137 | raise Warning("There is no files matching these date in the folder: %s. \n Check 'startDate' and 'endDate' " % ( |
|
|
134 | 138 | path)) |
|
|
135 | 139 | |
|
|
136 | 140 | self.setNextFile() |
|
|
137 | 141 | |
|
|
142 | def search_last_file(self): | |
|
|
143 | ''' | |
|
|
144 | Get last file and add it to the list | |
|
|
145 | ''' | |
|
|
146 | ||
|
|
147 | for n in range(self.nTries+1): | |
|
|
148 | if n>0: | |
|
|
149 | log.warning( | |
|
|
150 | "Waiting %0.2f seconds for the next file, try %03d ..." % (self.delay, n+1), | |
|
|
151 | self.name | |
|
|
152 | ) | |
|
|
153 | time.sleep(self.delay) | |
|
|
154 | file_list = os.listdir(self.path) | |
|
|
155 | file_list.sort() | |
|
|
156 | if file_list: | |
|
|
157 | if self.filename: | |
|
|
158 | if file_list[-1] not in self.filename: | |
|
|
159 | return file_list[-1] | |
|
|
160 | else: | |
|
|
161 | continue | |
|
|
162 | return file_list[-1] | |
|
|
163 | return 0 | |
|
|
164 | ||
|
|
138 | 165 | def search_files(self, path, startDate, endDate, ext): |
|
|
139 | 166 | ''' |
|
|
140 | 167 | Searching for BLTR rawdata file in path |
|
|
141 | 168 | Creating a list of file to proces included in [startDate,endDate] |
|
|
142 | 169 | |
|
|
143 | 170 | Input: |
|
|
144 | 171 | path - Path to find BLTR rawdata files |
|
|
145 | 172 | startDate - Select file from this date |
|
|
146 | 173 | enDate - Select file until this date |
|
|
147 | 174 | ext - Extension of the file to read |
|
|
148 | 175 | ''' |
|
|
149 | 176 | |
|
|
150 | 177 | log.success('Searching files in {} '.format(path), 'BLTRParamReader') |
|
|
151 | 178 | foldercounter = 0 |
|
|
152 | 179 | fileList0 = glob.glob1(path, "*%s" % ext) |
|
|
153 | 180 | fileList0.sort() |
|
|
154 | 181 | |
|
|
155 | self.fileList = [] | |
|
|
156 | self.dateFileList = [] | |
|
|
157 | ||
|
|
158 | 182 | for thisFile in fileList0: |
|
|
159 | 183 | year = thisFile[-14:-10] |
|
|
160 | 184 | if not isNumber(year): |
|
|
161 | 185 | continue |
|
|
162 | 186 | |
|
|
163 | 187 | month = thisFile[-10:-8] |
|
|
164 | 188 | if not isNumber(month): |
|
|
165 | 189 | continue |
|
|
166 | 190 | |
|
|
167 | 191 | day = thisFile[-8:-6] |
|
|
168 | 192 | if not isNumber(day): |
|
|
169 | 193 | continue |
|
|
170 | 194 | |
|
|
171 | 195 | year, month, day = int(year), int(month), int(day) |
|
|
172 | 196 | dateFile = datetime.date(year, month, day) |
|
|
173 | 197 | |
|
|
174 | 198 | if (startDate > dateFile) or (endDate < dateFile): |
|
|
175 | 199 | continue |
|
|
176 | 200 | |
|
|
177 |
|
|
|
|
178 | self.dateFileList.append(dateFile) | |
|
|
201 | yield thisFile | |
|
|
179 | 202 | |
|
|
180 | 203 | return |
|
|
181 | 204 | |
|
|
182 | 205 | def setNextFile(self): |
|
|
183 | 206 | |
|
|
184 |
|
|
|
|
185 | ||
|
|
186 | if file_id == len(self.fileList): | |
|
|
187 | self.flagNoMoreFiles = 1 | |
|
|
188 | return 0 | |
|
|
189 | ||
|
|
190 | log.success('Opening {}'.format(self.fileList[file_id]), 'BLTRParamReader') | |
|
|
191 |
filename = |
|
|
|
207 | if self.online: | |
|
|
208 | filename = self.search_last_file() | |
|
|
209 | if not filename: | |
|
|
210 | self.flagNoMoreFiles = 1 | |
|
|
211 | return 0 | |
|
|
212 | else: | |
|
|
213 | try: | |
|
|
214 | filename = next(self.fileList) | |
|
|
215 | except StopIteration: | |
|
|
216 | self.flagNoMoreFiles = 1 | |
|
|
217 | return 0 | |
|
|
218 | ||
|
|
219 | log.success('Opening {}'.format(filename), 'BLTRParamReader') | |
|
|
192 | 220 | |
|
|
193 | 221 | dirname, name = os.path.split(filename) |
|
|
194 | 222 | # 'peru2' ---> Piura - 'peru1' ---> Huancayo or Porcuya |
|
|
195 | self.siteFile = name.split('.')[0] | |
|
|
223 | self.siteFile = filename.split('.')[0] | |
|
|
196 | 224 | if self.filename is not None: |
|
|
197 | 225 | self.fp.close() |
|
|
198 | self.filename = filename | |
|
|
226 | self.filename = os.path.join(self.path, filename) | |
|
|
199 | 227 | self.fp = open(self.filename, 'rb') |
|
|
200 | 228 | self.header_file = numpy.fromfile(self.fp, FILE_HEADER_STRUCTURE, 1) |
|
|
201 | 229 | self.nrecords = self.header_file['nrec'][0] |
|
|
202 | 230 | self.sizeOfFile = os.path.getsize(self.filename) |
|
|
203 | 231 | self.counter_records = 0 |
|
|
204 | 232 | self.flagIsNewFile = 0 |
|
|
205 | 233 | self.fileIndex += 1 |
|
|
234 | time.sleep(2) | |
|
|
206 | 235 | |
|
|
207 | 236 | return 1 |
|
|
208 | 237 | |
|
|
209 | 238 | def readNextBlock(self): |
|
|
210 | 239 | |
|
|
211 | 240 | while True: |
|
|
212 | if self.counter_records == self.nrecords: | |
|
|
241 | if not self.online and self.counter_records == self.nrecords: | |
|
|
213 | 242 | self.flagIsNewFile = 1 |
|
|
214 | 243 | if not self.setNextFile(): |
|
|
215 | 244 | return 0 |
|
|
216 | 245 | |
|
|
217 | self.readBlock() | |
|
|
246 | try: | |
|
|
247 | pointer = self.fp.tell() | |
|
|
248 | self.readBlock() | |
|
|
249 | except: | |
|
|
250 | if self.online and self.waitDataBlock(pointer, 38512) == 1: | |
|
|
251 | continue | |
|
|
252 | else: | |
|
|
253 | if not self.setNextFile(): | |
|
|
254 | return 0 | |
|
|
218 | 255 | |
|
|
219 | 256 | if (self.datatime < datetime.datetime.combine(self.startDate, self.startTime)) or \ |
|
|
220 | 257 | (self.datatime > datetime.datetime.combine(self.endDate, self.endTime)): |
|
|
221 | 258 | log.warning( |
|
|
222 | 259 | 'Reading Record No. {}/{} -> {} [Skipping]'.format( |
|
|
223 | 260 | self.counter_records, |
|
|
224 | 261 | self.nrecords, |
|
|
225 | 262 | self.datatime.ctime()), |
|
|
226 | 263 | 'BLTRParamReader') |
|
|
227 | 264 | continue |
|
|
228 | 265 | break |
|
|
229 | 266 | |
|
|
230 |
log.log('Reading Record No. {} |
|
|
|
267 | log.log('Reading Record No. {} -> {}'.format( | |
|
|
231 | 268 | self.counter_records, |
|
|
232 | self.nrecords, | |
|
|
269 | # self.nrecords, | |
|
|
233 | 270 | self.datatime.ctime()), 'BLTRParamReader') |
|
|
234 | 271 | |
|
|
235 | 272 | return 1 |
|
|
236 | 273 | |
|
|
237 | 274 | def readBlock(self): |
|
|
238 | 275 | |
|
|
239 | 276 | pointer = self.fp.tell() |
|
|
240 | 277 | header_rec = numpy.fromfile(self.fp, REC_HEADER_STRUCTURE, 1) |
|
|
241 | 278 | self.nchannels = int(header_rec['nchan'][0] / 2) |
|
|
242 | 279 | self.kchan = header_rec['nrxs'][0] |
|
|
243 | 280 | self.nmodes = header_rec['nmodes'][0] |
|
|
244 | 281 | self.nranges = header_rec['nranges'][0] |
|
|
245 | 282 | self.fp.seek(pointer) |
|
|
246 | 283 | self.height = numpy.empty((self.nmodes, self.nranges)) |
|
|
247 | 284 | self.snr = numpy.empty((self.nmodes, int(self.nchannels), self.nranges)) |
|
|
248 | 285 | self.buffer = numpy.empty((self.nmodes, 3, self.nranges)) |
|
|
249 | 286 | self.flagDiscontinuousBlock = 0 |
|
|
250 | 287 | |
|
|
251 | 288 | for mode in range(self.nmodes): |
|
|
252 | 289 | self.readHeader() |
|
|
253 | 290 | data = self.readData() |
|
|
254 | 291 | self.height[mode] = (data[0] - self.correction) / 1000. |
|
|
255 | 292 | self.buffer[mode] = data[1] |
|
|
256 | 293 | self.snr[mode] = data[2] |
|
|
257 | 294 | |
|
|
258 | 295 | self.counter_records = self.counter_records + self.nmodes |
|
|
259 | 296 | |
|
|
260 | 297 | return |
|
|
261 | 298 | |
|
|
262 | 299 | def readHeader(self): |
|
|
263 | 300 | ''' |
|
|
264 | 301 | RecordHeader of BLTR rawdata file |
|
|
265 | 302 | ''' |
|
|
266 | 303 | |
|
|
267 | 304 | header_structure = numpy.dtype( |
|
|
268 | 305 | REC_HEADER_STRUCTURE.descr + [ |
|
|
269 | 306 | ('antenna_coord', 'f4', (2, int(self.nchannels))), |
|
|
270 | 307 | ('rx_gains', 'u4', (int(self.nchannels),)), |
|
|
271 | 308 | ('rx_analysis', 'u4', (int(self.nchannels),)) |
|
|
272 | 309 | ] |
|
|
273 | 310 | ) |
|
|
274 | 311 | |
|
|
275 | 312 | self.header_rec = numpy.fromfile(self.fp, header_structure, 1) |
|
|
276 | 313 | self.lat = self.header_rec['lat'][0] |
|
|
277 | 314 | self.lon = self.header_rec['lon'][0] |
|
|
278 | 315 | self.delta = self.header_rec['delta_r'][0] |
|
|
279 | 316 | self.correction = self.header_rec['dmode_rngcorr'][0] |
|
|
280 | 317 | self.imode = self.header_rec['dmode_index'][0] |
|
|
281 | 318 | self.antenna = self.header_rec['antenna_coord'] |
|
|
282 | 319 | self.rx_gains = self.header_rec['rx_gains'] |
|
|
283 | 320 | self.time = self.header_rec['time'][0] |
|
|
284 | 321 | dt = datetime.datetime.utcfromtimestamp(self.time) |
|
|
285 | 322 | if dt.date()>self.datatime.date(): |
|
|
286 | 323 | self.flagDiscontinuousBlock = 1 |
|
|
287 | 324 | self.datatime = dt |
|
|
288 | 325 | |
|
|
289 | 326 | def readData(self): |
|
|
290 | 327 | ''' |
|
|
291 |
Reading and filtering data block record of BLTR rawdata file, |
|
|
|
328 | Reading and filtering data block record of BLTR rawdata file, | |
|
|
329 | filtering is according to status_value. | |
|
|
292 | 330 | |
|
|
293 | 331 | Input: |
|
|
294 |
status_value - Array data is set to NAN for values that are not |
|
|
|
332 | status_value - Array data is set to NAN for values that are not | |
|
|
333 | equal to status_value | |
|
|
295 | 334 | |
|
|
296 | 335 | ''' |
|
|
297 | 336 | self.nchannels = int(self.nchannels) |
|
|
298 | 337 | |
|
|
299 | 338 | data_structure = numpy.dtype( |
|
|
300 | 339 | DATA_STRUCTURE.descr + [ |
|
|
301 | 340 | ('rx_saturation', 'u4', (self.nchannels,)), |
|
|
302 | 341 | ('chan_offset', 'u4', (2 * self.nchannels,)), |
|
|
303 | 342 | ('rx_amp', 'u4', (self.nchannels,)), |
|
|
304 | 343 | ('rx_snr', 'f4', (self.nchannels,)), |
|
|
305 | 344 | ('cross_snr', 'f4', (self.kchan,)), |
|
|
306 | 345 | ('sea_power_relative', 'f4', (self.kchan,))] |
|
|
307 | 346 | ) |
|
|
308 | 347 | |
|
|
309 | 348 | data = numpy.fromfile(self.fp, data_structure, self.nranges) |
|
|
310 | 349 | |
|
|
311 | 350 | height = data['range'] |
|
|
312 | 351 | winds = numpy.array( |
|
|
313 | 352 | (data['zonal'], data['meridional'], data['vertical'])) |
|
|
314 | 353 | snr = data['rx_snr'].T |
|
|
315 | 354 | |
|
|
316 | 355 | winds[numpy.where(winds == -9999.)] = numpy.nan |
|
|
317 | 356 | winds[:, numpy.where(data['status'] != self.status_value)] = numpy.nan |
|
|
318 | 357 | snr[numpy.where(snr == -9999.)] = numpy.nan |
|
|
319 | 358 | snr[:, numpy.where(data['status'] != self.status_value)] = numpy.nan |
|
|
320 | 359 | snr = numpy.power(10, snr / 10) |
|
|
321 | 360 | |
|
|
322 | 361 | return height, winds, snr |
|
|
323 | 362 | |
|
|
324 | 363 | def set_output(self): |
|
|
325 | 364 | ''' |
|
|
326 | 365 | Storing data from databuffer to dataOut object |
|
|
327 | 366 | ''' |
|
|
328 | 367 | |
|
|
329 | 368 | self.dataOut.data_SNR = self.snr |
|
|
330 | 369 | self.dataOut.height = self.height |
|
|
331 | 370 | self.dataOut.data = self.buffer |
|
|
332 | 371 | self.dataOut.utctimeInit = self.time |
|
|
333 | 372 | self.dataOut.utctime = self.dataOut.utctimeInit |
|
|
334 | 373 | self.dataOut.useLocalTime = False |
|
|
335 | 374 | self.dataOut.paramInterval = 157 |
|
|
336 | 375 | self.dataOut.timezone = self.timezone |
|
|
337 | 376 | self.dataOut.site = self.siteFile |
|
|
338 | 377 | self.dataOut.nrecords = self.nrecords / self.nmodes |
|
|
339 | 378 | self.dataOut.sizeOfFile = self.sizeOfFile |
|
|
340 | 379 | self.dataOut.lat = self.lat |
|
|
341 | 380 | self.dataOut.lon = self.lon |
|
|
342 | 381 | self.dataOut.channelList = list(range(self.nchannels)) |
|
|
343 | 382 | self.dataOut.kchan = self.kchan |
|
|
344 | 383 | self.dataOut.delta = self.delta |
|
|
345 | 384 | self.dataOut.correction = self.correction |
|
|
346 | 385 | self.dataOut.nmodes = self.nmodes |
|
|
347 | 386 | self.dataOut.imode = self.imode |
|
|
348 | 387 | self.dataOut.antenna = self.antenna |
|
|
349 | 388 | self.dataOut.rx_gains = self.rx_gains |
|
|
350 | 389 | self.dataOut.flagNoData = False |
|
|
351 | 390 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
352 | 391 | |
|
|
353 | 392 | def getData(self): |
|
|
354 | 393 | ''' |
|
|
355 | 394 | Storing data from databuffer to dataOut object |
|
|
356 | 395 | ''' |
|
|
357 | 396 | if self.flagNoMoreFiles: |
|
|
358 | 397 | self.dataOut.flagNoData = True |
|
|
359 | 398 | self.dataOut.error = 'No More files to read' |
|
|
399 | return | |
|
|
360 | 400 | |
|
|
361 | 401 | if not self.readNextBlock(): |
|
|
362 | 402 | self.dataOut.flagNoData = True |
|
|
363 | return 0 | |
|
|
403 | self.dataOut.error = 'Time for wait new file reach!!!' | |
|
|
364 | 404 | |
|
|
365 | 405 | self.set_output() |
|
|
366 | 406 | |
|
|
367 | 407 | return 1 |
|
|
368 | 408 | No newline at end of file |
| @@ -1,1828 +1,1833 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import sys |
|
|
8 | 8 | import glob |
|
|
9 | 9 | import time |
|
|
10 | 10 | import numpy |
|
|
11 | 11 | import fnmatch |
|
|
12 | 12 | import inspect |
|
|
13 | 13 | import time |
|
|
14 | 14 | import datetime |
|
|
15 | 15 | import traceback |
|
|
16 | 16 | import zmq |
|
|
17 | 17 | |
|
|
18 | 18 | try: |
|
|
19 | 19 | from gevent import sleep |
|
|
20 | 20 | except: |
|
|
21 | 21 | from time import sleep |
|
|
22 | 22 | |
|
|
23 | 23 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
24 | 24 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width |
|
|
25 | 25 | from schainpy.utils import log |
|
|
26 | 26 | import schainpy.admin |
|
|
27 | 27 | |
|
|
28 | 28 | LOCALTIME = True |
|
|
29 | 29 | |
|
|
30 | 30 | |
|
|
31 | 31 | def isNumber(cad): |
|
|
32 | 32 | """ |
|
|
33 | 33 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
34 | 34 | |
|
|
35 | 35 | Excepciones: |
|
|
36 | 36 | Si un determinado string no puede ser convertido a numero |
|
|
37 | 37 | Input: |
|
|
38 | 38 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
39 | 39 | |
|
|
40 | 40 | Return: |
|
|
41 | 41 | True : si el string es uno numerico |
|
|
42 | 42 | False : no es un string numerico |
|
|
43 | 43 | """ |
|
|
44 | 44 | try: |
|
|
45 | 45 | float(cad) |
|
|
46 | 46 | return True |
|
|
47 | 47 | except: |
|
|
48 | 48 | return False |
|
|
49 | 49 | |
|
|
50 | 50 | |
|
|
51 | 51 | def isFileInEpoch(filename, startUTSeconds, endUTSeconds): |
|
|
52 | 52 | """ |
|
|
53 | 53 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|
54 | 54 | |
|
|
55 | 55 | Inputs: |
|
|
56 | 56 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
57 | 57 | |
|
|
58 | 58 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|
59 | 59 | segundos contados desde 01/01/1970. |
|
|
60 | 60 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|
61 | 61 | segundos contados desde 01/01/1970. |
|
|
62 | 62 | |
|
|
63 | 63 | Return: |
|
|
64 | 64 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
65 | 65 | fecha especificado, de lo contrario retorna False. |
|
|
66 | 66 | |
|
|
67 | 67 | Excepciones: |
|
|
68 | 68 | Si el archivo no existe o no puede ser abierto |
|
|
69 | 69 | Si la cabecera no puede ser leida. |
|
|
70 | 70 | |
|
|
71 | 71 | """ |
|
|
72 | 72 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
73 | 73 | |
|
|
74 | 74 | try: |
|
|
75 | 75 | fp = open(filename, 'rb') |
|
|
76 | 76 | except IOError: |
|
|
77 | 77 | print("The file %s can't be opened" % (filename)) |
|
|
78 | 78 | return 0 |
|
|
79 | 79 | |
|
|
80 | 80 | sts = basicHeaderObj.read(fp) |
|
|
81 | 81 | fp.close() |
|
|
82 | 82 | |
|
|
83 | 83 | if not(sts): |
|
|
84 | 84 | print("Skipping the file %s because it has not a valid header" % (filename)) |
|
|
85 | 85 | return 0 |
|
|
86 | 86 | |
|
|
87 | 87 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|
88 | 88 | return 0 |
|
|
89 | 89 | |
|
|
90 | 90 | return 1 |
|
|
91 | 91 | |
|
|
92 | 92 | |
|
|
93 | 93 | def isTimeInRange(thisTime, startTime, endTime): |
|
|
94 | 94 | if endTime >= startTime: |
|
|
95 | 95 | if (thisTime < startTime) or (thisTime > endTime): |
|
|
96 | 96 | return 0 |
|
|
97 | 97 | return 1 |
|
|
98 | 98 | else: |
|
|
99 | 99 | if (thisTime < startTime) and (thisTime > endTime): |
|
|
100 | 100 | return 0 |
|
|
101 | 101 | return 1 |
|
|
102 | 102 | |
|
|
103 | 103 | |
|
|
104 | 104 | def isFileInTimeRange(filename, startDate, endDate, startTime, endTime): |
|
|
105 | 105 | """ |
|
|
106 | 106 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
107 | 107 | |
|
|
108 | 108 | Inputs: |
|
|
109 | 109 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
110 | 110 | |
|
|
111 | 111 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
112 | 112 | |
|
|
113 | 113 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
114 | 114 | |
|
|
115 | 115 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|
116 | 116 | |
|
|
117 | 117 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|
118 | 118 | |
|
|
119 | 119 | Return: |
|
|
120 | 120 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
121 | 121 | fecha especificado, de lo contrario retorna False. |
|
|
122 | 122 | |
|
|
123 | 123 | Excepciones: |
|
|
124 | 124 | Si el archivo no existe o no puede ser abierto |
|
|
125 | 125 | Si la cabecera no puede ser leida. |
|
|
126 | 126 | |
|
|
127 | 127 | """ |
|
|
128 | 128 | |
|
|
129 | 129 | try: |
|
|
130 | 130 | fp = open(filename, 'rb') |
|
|
131 | 131 | except IOError: |
|
|
132 | 132 | print("The file %s can't be opened" % (filename)) |
|
|
133 | 133 | return None |
|
|
134 | 134 | |
|
|
135 | 135 | firstBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
136 | 136 | systemHeaderObj = SystemHeader() |
|
|
137 | 137 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
138 | 138 | processingHeaderObj = ProcessingHeader() |
|
|
139 | 139 | |
|
|
140 | 140 | lastBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
141 | 141 | |
|
|
142 | 142 | sts = firstBasicHeaderObj.read(fp) |
|
|
143 | 143 | |
|
|
144 | 144 | if not(sts): |
|
|
145 | 145 | print("[Reading] Skipping the file %s because it has not a valid header" % (filename)) |
|
|
146 | 146 | return None |
|
|
147 | 147 | |
|
|
148 | 148 | if not systemHeaderObj.read(fp): |
|
|
149 | 149 | return None |
|
|
150 | 150 | |
|
|
151 | 151 | if not radarControllerHeaderObj.read(fp): |
|
|
152 | 152 | return None |
|
|
153 | 153 | |
|
|
154 | 154 | if not processingHeaderObj.read(fp): |
|
|
155 | 155 | return None |
|
|
156 | 156 | |
|
|
157 | 157 | filesize = os.path.getsize(filename) |
|
|
158 | 158 | |
|
|
159 | 159 | offset = processingHeaderObj.blockSize + 24 # header size |
|
|
160 | 160 | |
|
|
161 | 161 | if filesize <= offset: |
|
|
162 | 162 | print("[Reading] %s: This file has not enough data" % filename) |
|
|
163 | 163 | return None |
|
|
164 | 164 | |
|
|
165 | 165 | fp.seek(-offset, 2) |
|
|
166 | 166 | |
|
|
167 | 167 | sts = lastBasicHeaderObj.read(fp) |
|
|
168 | 168 | |
|
|
169 | 169 | fp.close() |
|
|
170 | 170 | |
|
|
171 | 171 | thisDatetime = lastBasicHeaderObj.datatime |
|
|
172 | 172 | thisTime_last_block = thisDatetime.time() |
|
|
173 | 173 | |
|
|
174 | 174 | thisDatetime = firstBasicHeaderObj.datatime |
|
|
175 | 175 | thisDate = thisDatetime.date() |
|
|
176 | 176 | thisTime_first_block = thisDatetime.time() |
|
|
177 | 177 | |
|
|
178 | 178 | # General case |
|
|
179 | 179 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
|
|
180 | 180 | #-----------o----------------------------o----------- |
|
|
181 | 181 | # startTime endTime |
|
|
182 | 182 | |
|
|
183 | 183 | if endTime >= startTime: |
|
|
184 | 184 | if (thisTime_last_block < startTime) or (thisTime_first_block > endTime): |
|
|
185 | 185 | return None |
|
|
186 | 186 | |
|
|
187 | 187 | return thisDatetime |
|
|
188 | 188 | |
|
|
189 | 189 | # If endTime < startTime then endTime belongs to the next day |
|
|
190 | 190 | |
|
|
191 | 191 | #<<<<<<<<<<<o o>>>>>>>>>>> |
|
|
192 | 192 | #-----------o----------------------------o----------- |
|
|
193 | 193 | # endTime startTime |
|
|
194 | 194 | |
|
|
195 | 195 | if (thisDate == startDate) and (thisTime_last_block < startTime): |
|
|
196 | 196 | return None |
|
|
197 | 197 | |
|
|
198 | 198 | if (thisDate == endDate) and (thisTime_first_block > endTime): |
|
|
199 | 199 | return None |
|
|
200 | 200 | |
|
|
201 | 201 | if (thisTime_last_block < startTime) and (thisTime_first_block > endTime): |
|
|
202 | 202 | return None |
|
|
203 | 203 | |
|
|
204 | 204 | return thisDatetime |
|
|
205 | 205 | |
|
|
206 | 206 | |
|
|
207 | 207 | def isFolderInDateRange(folder, startDate=None, endDate=None): |
|
|
208 | 208 | """ |
|
|
209 | 209 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
210 | 210 | |
|
|
211 | 211 | Inputs: |
|
|
212 | 212 | folder : nombre completo del directorio. |
|
|
213 | 213 | Su formato deberia ser "/path_root/?YYYYDDD" |
|
|
214 | 214 | |
|
|
215 | 215 | siendo: |
|
|
216 | 216 | YYYY : Anio (ejemplo 2015) |
|
|
217 | 217 | DDD : Dia del anio (ejemplo 305) |
|
|
218 | 218 | |
|
|
219 | 219 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
220 | 220 | |
|
|
221 | 221 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
222 | 222 | |
|
|
223 | 223 | Return: |
|
|
224 | 224 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
225 | 225 | fecha especificado, de lo contrario retorna False. |
|
|
226 | 226 | Excepciones: |
|
|
227 | 227 | Si el directorio no tiene el formato adecuado |
|
|
228 | 228 | """ |
|
|
229 | 229 | |
|
|
230 | 230 | basename = os.path.basename(folder) |
|
|
231 | 231 | |
|
|
232 | 232 | if not isRadarFolder(basename): |
|
|
233 | 233 | print("The folder %s has not the rigth format" % folder) |
|
|
234 | 234 | return 0 |
|
|
235 | 235 | |
|
|
236 | 236 | if startDate and endDate: |
|
|
237 | 237 | thisDate = getDateFromRadarFolder(basename) |
|
|
238 | 238 | |
|
|
239 | 239 | if thisDate < startDate: |
|
|
240 | 240 | return 0 |
|
|
241 | 241 | |
|
|
242 | 242 | if thisDate > endDate: |
|
|
243 | 243 | return 0 |
|
|
244 | 244 | |
|
|
245 | 245 | return 1 |
|
|
246 | 246 | |
|
|
247 | 247 | |
|
|
248 | 248 | def isFileInDateRange(filename, startDate=None, endDate=None): |
|
|
249 | 249 | """ |
|
|
250 | 250 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
251 | 251 | |
|
|
252 | 252 | Inputs: |
|
|
253 | 253 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
254 | 254 | |
|
|
255 | 255 | Su formato deberia ser "?YYYYDDDsss" |
|
|
256 | 256 | |
|
|
257 | 257 | siendo: |
|
|
258 | 258 | YYYY : Anio (ejemplo 2015) |
|
|
259 | 259 | DDD : Dia del anio (ejemplo 305) |
|
|
260 | 260 | sss : set |
|
|
261 | 261 | |
|
|
262 | 262 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
263 | 263 | |
|
|
264 | 264 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
265 | 265 | |
|
|
266 | 266 | Return: |
|
|
267 | 267 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
268 | 268 | fecha especificado, de lo contrario retorna False. |
|
|
269 | 269 | Excepciones: |
|
|
270 | 270 | Si el archivo no tiene el formato adecuado |
|
|
271 | 271 | """ |
|
|
272 | 272 | |
|
|
273 | 273 | basename = os.path.basename(filename) |
|
|
274 | 274 | |
|
|
275 | 275 | if not isRadarFile(basename): |
|
|
276 | 276 | print("The filename %s has not the rigth format" % filename) |
|
|
277 | 277 | return 0 |
|
|
278 | 278 | |
|
|
279 | 279 | if startDate and endDate: |
|
|
280 | 280 | thisDate = getDateFromRadarFile(basename) |
|
|
281 | 281 | |
|
|
282 | 282 | if thisDate < startDate: |
|
|
283 | 283 | return 0 |
|
|
284 | 284 | |
|
|
285 | 285 | if thisDate > endDate: |
|
|
286 | 286 | return 0 |
|
|
287 | 287 | |
|
|
288 | 288 | return 1 |
|
|
289 | 289 | |
|
|
290 | 290 | |
|
|
291 | 291 | def getFileFromSet(path, ext, set): |
|
|
292 | 292 | validFilelist = [] |
|
|
293 | 293 | fileList = os.listdir(path) |
|
|
294 | 294 | |
|
|
295 | 295 | # 0 1234 567 89A BCDE |
|
|
296 | 296 | # H YYYY DDD SSS .ext |
|
|
297 | 297 | |
|
|
298 | 298 | for thisFile in fileList: |
|
|
299 | 299 | try: |
|
|
300 | 300 | year = int(thisFile[1:5]) |
|
|
301 | 301 | doy = int(thisFile[5:8]) |
|
|
302 | 302 | except: |
|
|
303 | 303 | continue |
|
|
304 | 304 | |
|
|
305 | 305 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
306 | 306 | continue |
|
|
307 | 307 | |
|
|
308 | 308 | validFilelist.append(thisFile) |
|
|
309 | 309 | |
|
|
310 | 310 | myfile = fnmatch.filter( |
|
|
311 | 311 | validFilelist, '*%4.4d%3.3d%3.3d*' % (year, doy, set)) |
|
|
312 | 312 | |
|
|
313 | 313 | if len(myfile) != 0: |
|
|
314 | 314 | return myfile[0] |
|
|
315 | 315 | else: |
|
|
316 | 316 | filename = '*%4.4d%3.3d%3.3d%s' % (year, doy, set, ext.lower()) |
|
|
317 | 317 | print('the filename %s does not exist' % filename) |
|
|
318 | 318 | print('...going to the last file: ') |
|
|
319 | 319 | |
|
|
320 | 320 | if validFilelist: |
|
|
321 | 321 | validFilelist = sorted(validFilelist, key=str.lower) |
|
|
322 | 322 | return validFilelist[-1] |
|
|
323 | 323 | |
|
|
324 | 324 | return None |
|
|
325 | 325 | |
|
|
326 | 326 | |
|
|
327 | 327 | def getlastFileFromPath(path, ext): |
|
|
328 | 328 | """ |
|
|
329 | 329 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|
330 | 330 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|
331 | 331 | |
|
|
332 | 332 | Input: |
|
|
333 | 333 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|
334 | 334 | ext : extension de los files contenidos en una carpeta |
|
|
335 | 335 | |
|
|
336 | 336 | Return: |
|
|
337 | 337 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
338 | 338 | """ |
|
|
339 | 339 | validFilelist = [] |
|
|
340 | 340 | fileList = os.listdir(path) |
|
|
341 | 341 | |
|
|
342 | 342 | # 0 1234 567 89A BCDE |
|
|
343 | 343 | # H YYYY DDD SSS .ext |
|
|
344 | 344 | |
|
|
345 | 345 | for thisFile in fileList: |
|
|
346 | 346 | |
|
|
347 | 347 | year = thisFile[1:5] |
|
|
348 | 348 | if not isNumber(year): |
|
|
349 | 349 | continue |
|
|
350 | 350 | |
|
|
351 | 351 | doy = thisFile[5:8] |
|
|
352 | 352 | if not isNumber(doy): |
|
|
353 | 353 | continue |
|
|
354 | 354 | |
|
|
355 | 355 | year = int(year) |
|
|
356 | 356 | doy = int(doy) |
|
|
357 | 357 | |
|
|
358 | 358 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
359 | 359 | continue |
|
|
360 | 360 | |
|
|
361 | 361 | validFilelist.append(thisFile) |
|
|
362 | 362 | |
|
|
363 | 363 | if validFilelist: |
|
|
364 | 364 | validFilelist = sorted(validFilelist, key=str.lower) |
|
|
365 | 365 | return validFilelist[-1] |
|
|
366 | 366 | |
|
|
367 | 367 | return None |
|
|
368 | 368 | |
|
|
369 | 369 | |
|
|
370 | 370 | def checkForRealPath(path, foldercounter, year, doy, set, ext): |
|
|
371 | 371 | """ |
|
|
372 | 372 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
|
|
373 | 373 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
|
|
374 | 374 | el path exacto de un determinado file. |
|
|
375 | 375 | |
|
|
376 | 376 | Example : |
|
|
377 | 377 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
378 | 378 | |
|
|
379 | 379 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
380 | 380 | .../.../y2009307367.ext |
|
|
381 | 381 | .../.../Y2009307367.ext |
|
|
382 | 382 | .../.../x2009307/y2009307367.ext |
|
|
383 | 383 | .../.../x2009307/Y2009307367.ext |
|
|
384 | 384 | .../.../X2009307/y2009307367.ext |
|
|
385 | 385 | .../.../X2009307/Y2009307367.ext |
|
|
386 | 386 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
387 | 387 | |
|
|
388 | 388 | Return: |
|
|
389 | 389 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
|
|
390 | 390 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
|
|
391 | 391 | para el filename |
|
|
392 | 392 | """ |
|
|
393 | 393 | fullfilename = None |
|
|
394 | 394 | find_flag = False |
|
|
395 | 395 | filename = None |
|
|
396 | 396 | |
|
|
397 | 397 | prefixDirList = [None, 'd', 'D'] |
|
|
398 | 398 | if ext.lower() == ".r": # voltage |
|
|
399 | 399 | prefixFileList = ['d', 'D'] |
|
|
400 | 400 | elif ext.lower() == ".pdata": # spectra |
|
|
401 | 401 | prefixFileList = ['p', 'P'] |
|
|
402 | 402 | else: |
|
|
403 | 403 | return None, filename |
|
|
404 | 404 | |
|
|
405 | 405 | # barrido por las combinaciones posibles |
|
|
406 | 406 | for prefixDir in prefixDirList: |
|
|
407 | 407 | thispath = path |
|
|
408 | 408 | if prefixDir != None: |
|
|
409 | 409 | # formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
410 | 410 | if foldercounter == 0: |
|
|
411 | 411 | thispath = os.path.join(path, "%s%04d%03d" % |
|
|
412 | 412 | (prefixDir, year, doy)) |
|
|
413 | 413 | else: |
|
|
414 | 414 | thispath = os.path.join(path, "%s%04d%03d_%02d" % ( |
|
|
415 | 415 | prefixDir, year, doy, foldercounter)) |
|
|
416 | 416 | for prefixFile in prefixFileList: # barrido por las dos combinaciones posibles de "D" |
|
|
417 | 417 | # formo el nombre del file xYYYYDDDSSS.ext |
|
|
418 | 418 | filename = "%s%04d%03d%03d%s" % (prefixFile, year, doy, set, ext) |
|
|
419 | 419 | fullfilename = os.path.join( |
|
|
420 | 420 | thispath, filename) # formo el path completo |
|
|
421 | 421 | |
|
|
422 | 422 | if os.path.exists(fullfilename): # verifico que exista |
|
|
423 | 423 | find_flag = True |
|
|
424 | 424 | break |
|
|
425 | 425 | if find_flag: |
|
|
426 | 426 | break |
|
|
427 | 427 | |
|
|
428 | 428 | if not(find_flag): |
|
|
429 | 429 | return None, filename |
|
|
430 | 430 | |
|
|
431 | 431 | return fullfilename, filename |
|
|
432 | 432 | |
|
|
433 | 433 | |
|
|
434 | 434 | def isRadarFolder(folder): |
|
|
435 | 435 | try: |
|
|
436 | 436 | year = int(folder[1:5]) |
|
|
437 | 437 | doy = int(folder[5:8]) |
|
|
438 | 438 | except: |
|
|
439 | 439 | return 0 |
|
|
440 | 440 | |
|
|
441 | 441 | return 1 |
|
|
442 | 442 | |
|
|
443 | 443 | |
|
|
444 | 444 | def isRadarFile(file): |
|
|
445 | 445 | try: |
|
|
446 | 446 | year = int(file[1:5]) |
|
|
447 | 447 | doy = int(file[5:8]) |
|
|
448 | 448 | set = int(file[8:11]) |
|
|
449 | 449 | except: |
|
|
450 | 450 | return 0 |
|
|
451 | 451 | |
|
|
452 | 452 | return 1 |
|
|
453 | 453 | |
|
|
454 | 454 | |
|
|
455 | 455 | def getDateFromRadarFile(file): |
|
|
456 | 456 | try: |
|
|
457 | 457 | year = int(file[1:5]) |
|
|
458 | 458 | doy = int(file[5:8]) |
|
|
459 | 459 | set = int(file[8:11]) |
|
|
460 | 460 | except: |
|
|
461 | 461 | return None |
|
|
462 | 462 | |
|
|
463 | 463 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy - 1) |
|
|
464 | 464 | return thisDate |
|
|
465 | 465 | |
|
|
466 | 466 | |
|
|
467 | 467 | def getDateFromRadarFolder(folder): |
|
|
468 | 468 | try: |
|
|
469 | 469 | year = int(folder[1:5]) |
|
|
470 | 470 | doy = int(folder[5:8]) |
|
|
471 | 471 | except: |
|
|
472 | 472 | return None |
|
|
473 | 473 | |
|
|
474 | 474 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy - 1) |
|
|
475 | 475 | return thisDate |
|
|
476 | 476 | |
|
|
477 | 477 | |
|
|
478 | 478 | class JRODataIO: |
|
|
479 | 479 | |
|
|
480 | 480 | c = 3E8 |
|
|
481 | 481 | |
|
|
482 | 482 | isConfig = False |
|
|
483 | 483 | |
|
|
484 | 484 | basicHeaderObj = None |
|
|
485 | 485 | |
|
|
486 | 486 | systemHeaderObj = None |
|
|
487 | 487 | |
|
|
488 | 488 | radarControllerHeaderObj = None |
|
|
489 | 489 | |
|
|
490 | 490 | processingHeaderObj = None |
|
|
491 | 491 | |
|
|
492 | 492 | dtype = None |
|
|
493 | 493 | |
|
|
494 | 494 | pathList = [] |
|
|
495 | 495 | |
|
|
496 | 496 | filenameList = [] |
|
|
497 | 497 | |
|
|
498 | 498 | filename = None |
|
|
499 | 499 | |
|
|
500 | 500 | ext = None |
|
|
501 | 501 | |
|
|
502 | 502 | flagIsNewFile = 1 |
|
|
503 | 503 | |
|
|
504 | 504 | flagDiscontinuousBlock = 0 |
|
|
505 | 505 | |
|
|
506 | 506 | flagIsNewBlock = 0 |
|
|
507 | 507 | |
|
|
508 | 508 | fp = None |
|
|
509 | 509 | |
|
|
510 | 510 | firstHeaderSize = 0 |
|
|
511 | 511 | |
|
|
512 | 512 | basicHeaderSize = 24 |
|
|
513 | 513 | |
|
|
514 | 514 | versionFile = 1103 |
|
|
515 | 515 | |
|
|
516 | 516 | fileSize = None |
|
|
517 | 517 | |
|
|
518 | 518 | # ippSeconds = None |
|
|
519 | 519 | |
|
|
520 | 520 | fileSizeByHeader = None |
|
|
521 | 521 | |
|
|
522 | 522 | fileIndex = None |
|
|
523 | 523 | |
|
|
524 | 524 | profileIndex = None |
|
|
525 | 525 | |
|
|
526 | 526 | blockIndex = None |
|
|
527 | 527 | |
|
|
528 | 528 | nTotalBlocks = None |
|
|
529 | 529 | |
|
|
530 | 530 | maxTimeStep = 30 |
|
|
531 | 531 | |
|
|
532 | 532 | lastUTTime = None |
|
|
533 | 533 | |
|
|
534 | 534 | datablock = None |
|
|
535 | 535 | |
|
|
536 | 536 | dataOut = None |
|
|
537 | 537 | |
|
|
538 | 538 | blocksize = None |
|
|
539 | 539 | |
|
|
540 | 540 | getByBlock = False |
|
|
541 | 541 | |
|
|
542 | 542 | def __init__(self): |
|
|
543 | 543 | |
|
|
544 | 544 | raise NotImplementedError |
|
|
545 | 545 | |
|
|
546 | 546 | def run(self): |
|
|
547 | 547 | |
|
|
548 | 548 | raise NotImplementedError |
|
|
549 | 549 | |
|
|
550 | 550 | def getDtypeWidth(self): |
|
|
551 | 551 | |
|
|
552 | 552 | dtype_index = get_dtype_index(self.dtype) |
|
|
553 | 553 | dtype_width = get_dtype_width(dtype_index) |
|
|
554 | 554 | |
|
|
555 | 555 | return dtype_width |
|
|
556 | 556 | |
|
|
557 | 557 | def getAllowedArgs(self): |
|
|
558 | 558 | if hasattr(self, '__attrs__'): |
|
|
559 | 559 | return self.__attrs__ |
|
|
560 | 560 | else: |
|
|
561 | 561 | return inspect.getargspec(self.run).args |
|
|
562 | 562 | |
|
|
563 | 563 | |
|
|
564 | 564 | class JRODataReader(JRODataIO): |
|
|
565 | 565 | |
|
|
566 | 566 | online = 0 |
|
|
567 | 567 | |
|
|
568 | 568 | realtime = 0 |
|
|
569 | 569 | |
|
|
570 | 570 | nReadBlocks = 0 |
|
|
571 | 571 | |
|
|
572 | 572 | delay = 10 # number of seconds waiting a new file |
|
|
573 | 573 | |
|
|
574 | 574 | nTries = 3 # quantity tries |
|
|
575 | 575 | |
|
|
576 | 576 | nFiles = 3 # number of files for searching |
|
|
577 | 577 | |
|
|
578 | 578 | path = None |
|
|
579 | 579 | |
|
|
580 | 580 | foldercounter = 0 |
|
|
581 | 581 | |
|
|
582 | 582 | flagNoMoreFiles = 0 |
|
|
583 | 583 | |
|
|
584 | 584 | datetimeList = [] |
|
|
585 | 585 | |
|
|
586 | 586 | __isFirstTimeOnline = 1 |
|
|
587 | 587 | |
|
|
588 | 588 | __printInfo = True |
|
|
589 | 589 | |
|
|
590 | 590 | profileIndex = None |
|
|
591 | 591 | |
|
|
592 | 592 | nTxs = 1 |
|
|
593 | 593 | |
|
|
594 | 594 | txIndex = None |
|
|
595 | 595 | |
|
|
596 | 596 | # Added-------------------- |
|
|
597 | 597 | |
|
|
598 | 598 | selBlocksize = None |
|
|
599 | 599 | |
|
|
600 | 600 | selBlocktime = None |
|
|
601 | 601 | |
|
|
602 | 602 | def __init__(self): |
|
|
603 | 603 | """ |
|
|
604 | 604 | This class is used to find data files |
|
|
605 | 605 | |
|
|
606 | 606 | Example: |
|
|
607 | 607 | reader = JRODataReader() |
|
|
608 | 608 | fileList = reader.findDataFiles() |
|
|
609 | 609 | |
|
|
610 | 610 | """ |
|
|
611 | 611 | pass |
|
|
612 | 612 | |
|
|
613 | 613 | def createObjByDefault(self): |
|
|
614 | 614 | """ |
|
|
615 | 615 | |
|
|
616 | 616 | """ |
|
|
617 | 617 | raise NotImplementedError |
|
|
618 | 618 | |
|
|
619 | 619 | def getBlockDimension(self): |
|
|
620 | 620 | |
|
|
621 | 621 | raise NotImplementedError |
|
|
622 | 622 | |
|
|
623 | 623 | def searchFilesOffLine(self, |
|
|
624 | 624 | path, |
|
|
625 | 625 | startDate=None, |
|
|
626 | 626 | endDate=None, |
|
|
627 | 627 | startTime=datetime.time(0, 0, 0), |
|
|
628 | 628 | endTime=datetime.time(23, 59, 59), |
|
|
629 | 629 | set=None, |
|
|
630 | 630 | expLabel='', |
|
|
631 | 631 | ext='.r', |
|
|
632 | 632 | cursor=None, |
|
|
633 | 633 | skip=None, |
|
|
634 | 634 | walk=True): |
|
|
635 | 635 | |
|
|
636 | 636 | self.filenameList = [] |
|
|
637 | 637 | self.datetimeList = [] |
|
|
638 | 638 | |
|
|
639 | 639 | pathList = [] |
|
|
640 | 640 | |
|
|
641 | 641 | dateList, pathList = self.findDatafiles( |
|
|
642 | 642 | path, startDate, endDate, expLabel, ext, walk, include_path=True) |
|
|
643 | 643 | |
|
|
644 | 644 | if dateList == []: |
|
|
645 | 645 | return [], [] |
|
|
646 | 646 | |
|
|
647 | 647 | if len(dateList) > 1: |
|
|
648 | 648 | print("[Reading] Data found for date range [%s - %s]: total days = %d" % (startDate, endDate, len(dateList))) |
|
|
649 | 649 | else: |
|
|
650 | 650 | print("[Reading] Data found for date range [%s - %s]: date = %s" % (startDate, endDate, dateList[0])) |
|
|
651 | 651 | |
|
|
652 | 652 | filenameList = [] |
|
|
653 | 653 | datetimeList = [] |
|
|
654 | 654 | |
|
|
655 | 655 | for thisPath in pathList: |
|
|
656 | 656 | |
|
|
657 | 657 | fileList = glob.glob1(thisPath, "*%s" % ext) |
|
|
658 | 658 | fileList.sort() |
|
|
659 | 659 | |
|
|
660 | 660 | for file in fileList: |
|
|
661 | 661 | |
|
|
662 | 662 | filename = os.path.join(thisPath, file) |
|
|
663 | 663 | |
|
|
664 | 664 | if not isFileInDateRange(filename, startDate, endDate): |
|
|
665 | 665 | continue |
|
|
666 | 666 | |
|
|
667 | 667 | thisDatetime = isFileInTimeRange( |
|
|
668 | 668 | filename, startDate, endDate, startTime, endTime) |
|
|
669 | 669 | |
|
|
670 | 670 | if not(thisDatetime): |
|
|
671 | 671 | continue |
|
|
672 | 672 | |
|
|
673 | 673 | filenameList.append(filename) |
|
|
674 | 674 | datetimeList.append(thisDatetime) |
|
|
675 | 675 | |
|
|
676 | 676 | if cursor is not None and skip is not None: |
|
|
677 | 677 | filenameList = filenameList[cursor * skip:cursor * skip + skip] |
|
|
678 | 678 | datetimeList = datetimeList[cursor * skip:cursor * skip + skip] |
|
|
679 | 679 | |
|
|
680 | 680 | if not(filenameList): |
|
|
681 | 681 | print("[Reading] Time range selected invalid [%s - %s]: No *%s files in %s)" % (startTime, endTime, ext, path)) |
|
|
682 | 682 | return [], [] |
|
|
683 | 683 | |
|
|
684 | 684 | print("[Reading] %d file(s) was(were) found in time range: %s - %s" % (len(filenameList), startTime, endTime)) |
|
|
685 | 685 | |
|
|
686 | 686 | # for i in range(len(filenameList)): |
|
|
687 | 687 | # print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
|
688 | 688 | |
|
|
689 | 689 | self.filenameList = filenameList |
|
|
690 | 690 | self.datetimeList = datetimeList |
|
|
691 | 691 | |
|
|
692 | 692 | return pathList, filenameList |
|
|
693 | 693 | |
|
|
694 | 694 | def __searchFilesOnLine(self, path, expLabel="", ext=None, walk=True, set=None): |
|
|
695 | 695 | """ |
|
|
696 | 696 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|
697 | 697 | devuelve el archivo encontrado ademas de otros datos. |
|
|
698 | 698 | |
|
|
699 | 699 | Input: |
|
|
700 | 700 | path : carpeta donde estan contenidos los files que contiene data |
|
|
701 | 701 | |
|
|
702 | 702 | expLabel : Nombre del subexperimento (subfolder) |
|
|
703 | 703 | |
|
|
704 | 704 | ext : extension de los files |
|
|
705 | 705 | |
|
|
706 | 706 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
707 | 707 | |
|
|
708 | 708 | Return: |
|
|
709 | 709 | directory : eL directorio donde esta el file encontrado |
|
|
710 | 710 | filename : el ultimo file de una determinada carpeta |
|
|
711 | 711 | year : el anho |
|
|
712 | 712 | doy : el numero de dia del anho |
|
|
713 | 713 | set : el set del archivo |
|
|
714 | 714 | |
|
|
715 | 715 | |
|
|
716 | 716 | """ |
|
|
717 | 717 | if not os.path.isdir(path): |
|
|
718 | 718 | return None, None, None, None, None, None |
|
|
719 | 719 | |
|
|
720 | 720 | dirList = [] |
|
|
721 | 721 | |
|
|
722 | 722 | if not walk: |
|
|
723 | 723 | fullpath = path |
|
|
724 | 724 | foldercounter = 0 |
|
|
725 | 725 | else: |
|
|
726 | 726 | # Filtra solo los directorios |
|
|
727 | 727 | for thisPath in os.listdir(path): |
|
|
728 | 728 | if not os.path.isdir(os.path.join(path, thisPath)): |
|
|
729 | 729 | continue |
|
|
730 | 730 | if not isRadarFolder(thisPath): |
|
|
731 | 731 | continue |
|
|
732 | 732 | |
|
|
733 | 733 | dirList.append(thisPath) |
|
|
734 | 734 | |
|
|
735 | 735 | if not(dirList): |
|
|
736 | 736 | return None, None, None, None, None, None |
|
|
737 | 737 | |
|
|
738 | 738 | dirList = sorted(dirList, key=str.lower) |
|
|
739 | 739 | |
|
|
740 | 740 | doypath = dirList[-1] |
|
|
741 | 741 | foldercounter = int(doypath.split('_')[1]) if len( |
|
|
742 | 742 | doypath.split('_')) > 1 else 0 |
|
|
743 | 743 | fullpath = os.path.join(path, doypath, expLabel) |
|
|
744 | 744 | |
|
|
745 | 745 | print("[Reading] %s folder was found: " % (fullpath)) |
|
|
746 | 746 | |
|
|
747 | 747 | if set == None: |
|
|
748 | 748 | filename = getlastFileFromPath(fullpath, ext) |
|
|
749 | 749 | else: |
|
|
750 | 750 | filename = getFileFromSet(fullpath, ext, set) |
|
|
751 | 751 | |
|
|
752 | 752 | if not(filename): |
|
|
753 | 753 | return None, None, None, None, None, None |
|
|
754 | 754 | |
|
|
755 | 755 | print("[Reading] %s file was found" % (filename)) |
|
|
756 | 756 | |
|
|
757 | 757 | if not(self.__verifyFile(os.path.join(fullpath, filename))): |
|
|
758 | 758 | return None, None, None, None, None, None |
|
|
759 | 759 | |
|
|
760 | 760 | year = int(filename[1:5]) |
|
|
761 | 761 | doy = int(filename[5:8]) |
|
|
762 | 762 | set = int(filename[8:11]) |
|
|
763 | 763 | |
|
|
764 | 764 | return fullpath, foldercounter, filename, year, doy, set |
|
|
765 | 765 | |
|
|
766 | 766 | def __setNextFileOffline(self): |
|
|
767 | 767 | |
|
|
768 | 768 | idFile = self.fileIndex |
|
|
769 | 769 | |
|
|
770 | 770 | while (True): |
|
|
771 | 771 | idFile += 1 |
|
|
772 | 772 | if not(idFile < len(self.filenameList)): |
|
|
773 | 773 | self.flagNoMoreFiles = 1 |
|
|
774 | 774 | # print "[Reading] No more Files" |
|
|
775 | 775 | return 0 |
|
|
776 | 776 | |
|
|
777 | 777 | filename = self.filenameList[idFile] |
|
|
778 | 778 | |
|
|
779 | 779 | if not(self.__verifyFile(filename)): |
|
|
780 | 780 | continue |
|
|
781 | 781 | |
|
|
782 | 782 | fileSize = os.path.getsize(filename) |
|
|
783 | 783 | fp = open(filename, 'rb') |
|
|
784 | 784 | break |
|
|
785 | 785 | |
|
|
786 | 786 | self.flagIsNewFile = 1 |
|
|
787 | 787 | self.fileIndex = idFile |
|
|
788 | 788 | self.filename = filename |
|
|
789 | 789 | self.fileSize = fileSize |
|
|
790 | 790 | self.fp = fp |
|
|
791 | 791 | |
|
|
792 | 792 | # print "[Reading] Setting the file: %s"%self.filename |
|
|
793 | 793 | |
|
|
794 | 794 | return 1 |
|
|
795 | 795 | |
|
|
796 | 796 | def __setNextFileOnline(self): |
|
|
797 | 797 | """ |
|
|
798 | 798 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|
799 | 799 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|
800 | 800 | siguientes. |
|
|
801 | 801 | |
|
|
802 | 802 | Affected: |
|
|
803 | 803 | self.flagIsNewFile |
|
|
804 | 804 | self.filename |
|
|
805 | 805 | self.fileSize |
|
|
806 | 806 | self.fp |
|
|
807 | 807 | self.set |
|
|
808 | 808 | self.flagNoMoreFiles |
|
|
809 | 809 | |
|
|
810 | 810 | Return: |
|
|
811 | 811 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|
812 | 812 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|
813 | 813 | |
|
|
814 | 814 | Excepciones: |
|
|
815 | 815 | Si un determinado file no puede ser abierto |
|
|
816 | 816 | """ |
|
|
817 | 817 | nFiles = 0 |
|
|
818 | 818 | fileOk_flag = False |
|
|
819 | 819 | firstTime_flag = True |
|
|
820 | 820 | |
|
|
821 | 821 | self.set += 1 |
|
|
822 | 822 | |
|
|
823 | 823 | if self.set > 999: |
|
|
824 | 824 | self.set = 0 |
|
|
825 | 825 | self.foldercounter += 1 |
|
|
826 | 826 | |
|
|
827 | 827 | # busca el 1er file disponible |
|
|
828 | 828 | fullfilename, filename = checkForRealPath( |
|
|
829 | 829 | self.path, self.foldercounter, self.year, self.doy, self.set, self.ext) |
|
|
830 | 830 | if fullfilename: |
|
|
831 | 831 | if self.__verifyFile(fullfilename, False): |
|
|
832 | 832 | fileOk_flag = True |
|
|
833 | 833 | |
|
|
834 | 834 | # si no encuentra un file entonces espera y vuelve a buscar |
|
|
835 | 835 | if not(fileOk_flag): |
|
|
836 | 836 | # busco en los siguientes self.nFiles+1 files posibles |
|
|
837 | 837 | for nFiles in range(self.nFiles + 1): |
|
|
838 | 838 | |
|
|
839 | 839 | if firstTime_flag: # si es la 1era vez entonces hace el for self.nTries veces |
|
|
840 | 840 | tries = self.nTries |
|
|
841 | 841 | else: |
|
|
842 | 842 | tries = 1 # si no es la 1era vez entonces solo lo hace una vez |
|
|
843 | 843 | |
|
|
844 | 844 | for nTries in range(tries): |
|
|
845 | 845 | if firstTime_flag: |
|
|
846 | 846 | print("\t[Reading] Waiting %0.2f sec for the next file: \"%s\" , try %03d ..." % (self.delay, filename, nTries + 1)) |
|
|
847 | 847 | sleep(self.delay) |
|
|
848 | 848 | else: |
|
|
849 | 849 | print("\t[Reading] Searching the next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext)) |
|
|
850 | 850 | |
|
|
851 | 851 | fullfilename, filename = checkForRealPath( |
|
|
852 | 852 | self.path, self.foldercounter, self.year, self.doy, self.set, self.ext) |
|
|
853 | 853 | if fullfilename: |
|
|
854 | 854 | if self.__verifyFile(fullfilename): |
|
|
855 | 855 | fileOk_flag = True |
|
|
856 | 856 | break |
|
|
857 | 857 | |
|
|
858 | 858 | if fileOk_flag: |
|
|
859 | 859 | break |
|
|
860 | 860 | |
|
|
861 | 861 | firstTime_flag = False |
|
|
862 | 862 | |
|
|
863 | 863 | log.warning('Skipping the file {} due to this file doesn\'t exist'.format(filename)) |
|
|
864 | 864 | self.set += 1 |
|
|
865 | 865 | |
|
|
866 | 866 | # si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|
867 | 867 | if nFiles == (self.nFiles - 1): |
|
|
868 | 868 | self.set = 0 |
|
|
869 | 869 | self.doy += 1 |
|
|
870 | 870 | self.foldercounter = 0 |
|
|
871 | 871 | |
|
|
872 | 872 | if fileOk_flag: |
|
|
873 | 873 | self.fileSize = os.path.getsize(fullfilename) |
|
|
874 | 874 | self.filename = fullfilename |
|
|
875 | 875 | self.flagIsNewFile = 1 |
|
|
876 | 876 | if self.fp != None: |
|
|
877 | 877 | self.fp.close() |
|
|
878 | 878 | self.fp = open(fullfilename, 'rb') |
|
|
879 | 879 | self.flagNoMoreFiles = 0 |
|
|
880 | 880 | # print '[Reading] Setting the file: %s' % fullfilename |
|
|
881 | 881 | else: |
|
|
882 | 882 | self.fileSize = 0 |
|
|
883 | 883 | self.filename = None |
|
|
884 | 884 | self.flagIsNewFile = 0 |
|
|
885 | 885 | self.fp = None |
|
|
886 | 886 | self.flagNoMoreFiles = 1 |
|
|
887 | 887 | # print '[Reading] No more files to read' |
|
|
888 | 888 | |
|
|
889 | 889 | return fileOk_flag |
|
|
890 | 890 | |
|
|
891 | 891 | def setNextFile(self): |
|
|
892 | 892 | if self.fp != None: |
|
|
893 | 893 | self.fp.close() |
|
|
894 | 894 | |
|
|
895 | 895 | if self.online: |
|
|
896 | 896 | newFile = self.__setNextFileOnline() |
|
|
897 | 897 | else: |
|
|
898 | 898 | newFile = self.__setNextFileOffline() |
|
|
899 | 899 | |
|
|
900 | 900 | if not(newFile): |
|
|
901 | 901 | self.dataOut.error = 'No more files to read' |
|
|
902 | 902 | return 0 |
|
|
903 | 903 | |
|
|
904 | 904 | if self.verbose: |
|
|
905 | 905 | print('[Reading] Setting the file: %s' % self.filename) |
|
|
906 | 906 | |
|
|
907 | 907 | self.__readFirstHeader() |
|
|
908 | 908 | self.nReadBlocks = 0 |
|
|
909 | 909 | return 1 |
|
|
910 | 910 | |
|
|
911 | 911 | def __waitNewBlock(self): |
|
|
912 | 912 | """ |
|
|
913 | 913 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
914 | 914 | |
|
|
915 | 915 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
916 | 916 | """ |
|
|
917 | 917 | if not self.online: |
|
|
918 | 918 | return 0 |
|
|
919 | 919 | |
|
|
920 | 920 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
921 | 921 | return 0 |
|
|
922 | 922 | |
|
|
923 | 923 | currentPointer = self.fp.tell() |
|
|
924 | 924 | |
|
|
925 | 925 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
926 | 926 | |
|
|
927 | 927 | for nTries in range(self.nTries): |
|
|
928 | 928 | |
|
|
929 | 929 | self.fp.close() |
|
|
930 | 930 | self.fp = open(self.filename, 'rb') |
|
|
931 | 931 | self.fp.seek(currentPointer) |
|
|
932 | 932 | |
|
|
933 | 933 | self.fileSize = os.path.getsize(self.filename) |
|
|
934 | 934 | currentSize = self.fileSize - currentPointer |
|
|
935 | 935 | |
|
|
936 | 936 | if (currentSize >= neededSize): |
|
|
937 | 937 | self.basicHeaderObj.read(self.fp) |
|
|
938 | 938 | return 1 |
|
|
939 | 939 | |
|
|
940 | 940 | if self.fileSize == self.fileSizeByHeader: |
|
|
941 | 941 | # self.flagEoF = True |
|
|
942 | 942 | return 0 |
|
|
943 | 943 | |
|
|
944 | 944 | print("[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1)) |
|
|
945 | 945 | sleep(self.delay) |
|
|
946 | 946 | |
|
|
947 | 947 | return 0 |
|
|
948 | 948 | |
|
|
949 | def waitDataBlock(self, pointer_location): | |
|
|
949 | def waitDataBlock(self, pointer_location, blocksize=None): | |
|
|
950 | 950 | |
|
|
951 | 951 | currentPointer = pointer_location |
|
|
952 | ||
|
|
953 | neededSize = self.processingHeaderObj.blockSize # + self.basicHeaderSize | |
|
|
952 | if blocksize is None: | |
|
|
953 | neededSize = self.processingHeaderObj.blockSize # + self.basicHeaderSize | |
|
|
954 | else: | |
|
|
955 | neededSize = blocksize | |
|
|
954 | 956 | |
|
|
955 | 957 | for nTries in range(self.nTries): |
|
|
956 | 958 | self.fp.close() |
|
|
957 | 959 | self.fp = open(self.filename, 'rb') |
|
|
958 | 960 | self.fp.seek(currentPointer) |
|
|
959 | 961 | |
|
|
960 | 962 | self.fileSize = os.path.getsize(self.filename) |
|
|
961 | 963 | currentSize = self.fileSize - currentPointer |
|
|
962 | 964 | |
|
|
963 | 965 | if (currentSize >= neededSize): |
|
|
964 | 966 | return 1 |
|
|
965 | 967 | |
|
|
966 | print("[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1)) | |
|
|
968 | log.warning( | |
|
|
969 | "Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1), | |
|
|
970 | self.name | |
|
|
971 | ) | |
|
|
967 | 972 | sleep(self.delay) |
|
|
968 | 973 | |
|
|
969 | 974 | return 0 |
|
|
970 | 975 | |
|
|
971 | 976 | def __jumpToLastBlock(self): |
|
|
972 | 977 | |
|
|
973 | 978 | if not(self.__isFirstTimeOnline): |
|
|
974 | 979 | return |
|
|
975 | 980 | |
|
|
976 | 981 | csize = self.fileSize - self.fp.tell() |
|
|
977 | 982 | blocksize = self.processingHeaderObj.blockSize |
|
|
978 | 983 | |
|
|
979 | 984 | # salta el primer bloque de datos |
|
|
980 | 985 | if csize > self.processingHeaderObj.blockSize: |
|
|
981 | 986 | self.fp.seek(self.fp.tell() + blocksize) |
|
|
982 | 987 | else: |
|
|
983 | 988 | return |
|
|
984 | 989 | |
|
|
985 | 990 | csize = self.fileSize - self.fp.tell() |
|
|
986 | 991 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
987 | 992 | while True: |
|
|
988 | 993 | |
|
|
989 | 994 | if self.fp.tell() < self.fileSize: |
|
|
990 | 995 | self.fp.seek(self.fp.tell() + neededsize) |
|
|
991 | 996 | else: |
|
|
992 | 997 | self.fp.seek(self.fp.tell() - neededsize) |
|
|
993 | 998 | break |
|
|
994 | 999 | |
|
|
995 | 1000 | # csize = self.fileSize - self.fp.tell() |
|
|
996 | 1001 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
997 | 1002 | # factor = int(csize/neededsize) |
|
|
998 | 1003 | # if factor > 0: |
|
|
999 | 1004 | # self.fp.seek(self.fp.tell() + factor*neededsize) |
|
|
1000 | 1005 | |
|
|
1001 | 1006 | self.flagIsNewFile = 0 |
|
|
1002 | 1007 | self.__isFirstTimeOnline = 0 |
|
|
1003 | 1008 | |
|
|
1004 | 1009 | def __setNewBlock(self): |
|
|
1005 | 1010 | # if self.server is None: |
|
|
1006 | 1011 | if self.fp == None: |
|
|
1007 | 1012 | return 0 |
|
|
1008 | 1013 | |
|
|
1009 | 1014 | # if self.online: |
|
|
1010 | 1015 | # self.__jumpToLastBlock() |
|
|
1011 | 1016 | |
|
|
1012 | 1017 | if self.flagIsNewFile: |
|
|
1013 | 1018 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1014 | 1019 | return 1 |
|
|
1015 | 1020 | |
|
|
1016 | 1021 | if self.realtime: |
|
|
1017 | 1022 | self.flagDiscontinuousBlock = 1 |
|
|
1018 | 1023 | if not(self.setNextFile()): |
|
|
1019 | 1024 | return 0 |
|
|
1020 | 1025 | else: |
|
|
1021 | 1026 | return 1 |
|
|
1022 | 1027 | # if self.server is None: |
|
|
1023 | 1028 | currentSize = self.fileSize - self.fp.tell() |
|
|
1024 | 1029 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
1025 | 1030 | if (currentSize >= neededSize): |
|
|
1026 | 1031 | self.basicHeaderObj.read(self.fp) |
|
|
1027 | 1032 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1028 | 1033 | return 1 |
|
|
1029 | 1034 | # else: |
|
|
1030 | 1035 | # self.basicHeaderObj.read(self.zHeader) |
|
|
1031 | 1036 | # self.lastUTTime = self.basicHeaderObj.utc |
|
|
1032 | 1037 | # return 1 |
|
|
1033 | 1038 | if self.__waitNewBlock(): |
|
|
1034 | 1039 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1035 | 1040 | return 1 |
|
|
1036 | 1041 | # if self.server is None: |
|
|
1037 | 1042 | if not(self.setNextFile()): |
|
|
1038 | 1043 | return 0 |
|
|
1039 | 1044 | |
|
|
1040 | 1045 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime |
|
|
1041 | 1046 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1042 | 1047 | |
|
|
1043 | 1048 | self.flagDiscontinuousBlock = 0 |
|
|
1044 | 1049 | |
|
|
1045 | 1050 | if deltaTime > self.maxTimeStep: |
|
|
1046 | 1051 | self.flagDiscontinuousBlock = 1 |
|
|
1047 | 1052 | |
|
|
1048 | 1053 | return 1 |
|
|
1049 | 1054 | |
|
|
1050 | 1055 | def readNextBlock(self): |
|
|
1051 | 1056 | |
|
|
1052 | 1057 | # Skip block out of startTime and endTime |
|
|
1053 | 1058 | while True: |
|
|
1054 | 1059 | if not(self.__setNewBlock()): |
|
|
1055 | 1060 | self.dataOut.error = 'No more files to read' |
|
|
1056 | 1061 | return 0 |
|
|
1057 | 1062 | |
|
|
1058 | 1063 | if not(self.readBlock()): |
|
|
1059 | 1064 | return 0 |
|
|
1060 | 1065 | |
|
|
1061 | 1066 | self.getBasicHeader() |
|
|
1062 | 1067 | if (self.dataOut.datatime < datetime.datetime.combine(self.startDate, self.startTime)) or (self.dataOut.datatime > datetime.datetime.combine(self.endDate, self.endTime)): |
|
|
1063 | 1068 | print("[Reading] Block No. %d/%d -> %s [Skipping]" % (self.nReadBlocks, |
|
|
1064 | 1069 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
1065 | 1070 | self.dataOut.datatime.ctime())) |
|
|
1066 | 1071 | continue |
|
|
1067 | 1072 | |
|
|
1068 | 1073 | break |
|
|
1069 | 1074 | |
|
|
1070 | 1075 | if self.verbose: |
|
|
1071 | 1076 | print("[Reading] Block No. %d/%d -> %s" % (self.nReadBlocks, |
|
|
1072 | 1077 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
1073 | 1078 | self.dataOut.datatime.ctime())) |
|
|
1074 | 1079 | return 1 |
|
|
1075 | 1080 | |
|
|
1076 | 1081 | def __readFirstHeader(self): |
|
|
1077 | 1082 | |
|
|
1078 | 1083 | self.basicHeaderObj.read(self.fp) |
|
|
1079 | 1084 | self.systemHeaderObj.read(self.fp) |
|
|
1080 | 1085 | self.radarControllerHeaderObj.read(self.fp) |
|
|
1081 | 1086 | self.processingHeaderObj.read(self.fp) |
|
|
1082 | 1087 | |
|
|
1083 | 1088 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
1084 | 1089 | |
|
|
1085 | 1090 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & |
|
|
1086 | 1091 | PROCFLAG.DATATYPE_MASK)) - numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
1087 | 1092 | if datatype == 0: |
|
|
1088 | 1093 | datatype_str = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
|
1089 | 1094 | elif datatype == 1: |
|
|
1090 | 1095 | datatype_str = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
|
1091 | 1096 | elif datatype == 2: |
|
|
1092 | 1097 | datatype_str = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
|
1093 | 1098 | elif datatype == 3: |
|
|
1094 | 1099 | datatype_str = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
|
1095 | 1100 | elif datatype == 4: |
|
|
1096 | 1101 | datatype_str = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
|
1097 | 1102 | elif datatype == 5: |
|
|
1098 | 1103 | datatype_str = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
|
1099 | 1104 | else: |
|
|
1100 | 1105 | raise ValueError('Data type was not defined') |
|
|
1101 | 1106 | |
|
|
1102 | 1107 | self.dtype = datatype_str |
|
|
1103 | 1108 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
1104 | 1109 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + \ |
|
|
1105 | 1110 | self.firstHeaderSize + self.basicHeaderSize * \ |
|
|
1106 | 1111 | (self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
1107 | 1112 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
1108 | 1113 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
1109 | 1114 | self.getBlockDimension() |
|
|
1110 | 1115 | |
|
|
1111 | 1116 | def __verifyFile(self, filename, msgFlag=True): |
|
|
1112 | 1117 | |
|
|
1113 | 1118 | msg = None |
|
|
1114 | 1119 | |
|
|
1115 | 1120 | try: |
|
|
1116 | 1121 | fp = open(filename, 'rb') |
|
|
1117 | 1122 | except IOError: |
|
|
1118 | 1123 | |
|
|
1119 | 1124 | if msgFlag: |
|
|
1120 | 1125 | print("[Reading] File %s can't be opened" % (filename)) |
|
|
1121 | 1126 | |
|
|
1122 | 1127 | return False |
|
|
1123 | 1128 | |
|
|
1124 | 1129 | currentPosition = fp.tell() |
|
|
1125 | 1130 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|
1126 | 1131 | |
|
|
1127 | 1132 | if neededSize == 0: |
|
|
1128 | 1133 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
1129 | 1134 | systemHeaderObj = SystemHeader() |
|
|
1130 | 1135 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
1131 | 1136 | processingHeaderObj = ProcessingHeader() |
|
|
1132 | 1137 | |
|
|
1133 | 1138 | if not(basicHeaderObj.read(fp)): |
|
|
1134 | 1139 | fp.close() |
|
|
1135 | 1140 | return False |
|
|
1136 | 1141 | |
|
|
1137 | 1142 | if not(systemHeaderObj.read(fp)): |
|
|
1138 | 1143 | fp.close() |
|
|
1139 | 1144 | return False |
|
|
1140 | 1145 | |
|
|
1141 | 1146 | if not(radarControllerHeaderObj.read(fp)): |
|
|
1142 | 1147 | fp.close() |
|
|
1143 | 1148 | return False |
|
|
1144 | 1149 | |
|
|
1145 | 1150 | if not(processingHeaderObj.read(fp)): |
|
|
1146 | 1151 | fp.close() |
|
|
1147 | 1152 | return False |
|
|
1148 | 1153 | |
|
|
1149 | 1154 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|
1150 | 1155 | else: |
|
|
1151 | 1156 | msg = "[Reading] Skipping the file %s due to it hasn't enough data" % filename |
|
|
1152 | 1157 | |
|
|
1153 | 1158 | fp.close() |
|
|
1154 | 1159 | |
|
|
1155 | 1160 | fileSize = os.path.getsize(filename) |
|
|
1156 | 1161 | currentSize = fileSize - currentPosition |
|
|
1157 | 1162 | |
|
|
1158 | 1163 | if currentSize < neededSize: |
|
|
1159 | 1164 | if msgFlag and (msg != None): |
|
|
1160 | 1165 | print(msg) |
|
|
1161 | 1166 | return False |
|
|
1162 | 1167 | |
|
|
1163 | 1168 | return True |
|
|
1164 | 1169 | |
|
|
1165 | 1170 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False): |
|
|
1166 | 1171 | |
|
|
1167 | 1172 | path_empty = True |
|
|
1168 | 1173 | |
|
|
1169 | 1174 | dateList = [] |
|
|
1170 | 1175 | pathList = [] |
|
|
1171 | 1176 | |
|
|
1172 | 1177 | multi_path = path.split(',') |
|
|
1173 | 1178 | |
|
|
1174 | 1179 | if not walk: |
|
|
1175 | 1180 | |
|
|
1176 | 1181 | for single_path in multi_path: |
|
|
1177 | 1182 | |
|
|
1178 | 1183 | if not os.path.isdir(single_path): |
|
|
1179 | 1184 | continue |
|
|
1180 | 1185 | |
|
|
1181 | 1186 | fileList = glob.glob1(single_path, "*" + ext) |
|
|
1182 | 1187 | |
|
|
1183 | 1188 | if not fileList: |
|
|
1184 | 1189 | continue |
|
|
1185 | 1190 | |
|
|
1186 | 1191 | path_empty = False |
|
|
1187 | 1192 | |
|
|
1188 | 1193 | fileList.sort() |
|
|
1189 | 1194 | |
|
|
1190 | 1195 | for thisFile in fileList: |
|
|
1191 | 1196 | |
|
|
1192 | 1197 | if not os.path.isfile(os.path.join(single_path, thisFile)): |
|
|
1193 | 1198 | continue |
|
|
1194 | 1199 | |
|
|
1195 | 1200 | if not isRadarFile(thisFile): |
|
|
1196 | 1201 | continue |
|
|
1197 | 1202 | |
|
|
1198 | 1203 | if not isFileInDateRange(thisFile, startDate, endDate): |
|
|
1199 | 1204 | continue |
|
|
1200 | 1205 | |
|
|
1201 | 1206 | thisDate = getDateFromRadarFile(thisFile) |
|
|
1202 | 1207 | |
|
|
1203 | 1208 | if thisDate in dateList: |
|
|
1204 | 1209 | continue |
|
|
1205 | 1210 | |
|
|
1206 | 1211 | dateList.append(thisDate) |
|
|
1207 | 1212 | pathList.append(single_path) |
|
|
1208 | 1213 | |
|
|
1209 | 1214 | else: |
|
|
1210 | 1215 | for single_path in multi_path: |
|
|
1211 | 1216 | |
|
|
1212 | 1217 | if not os.path.isdir(single_path): |
|
|
1213 | 1218 | continue |
|
|
1214 | 1219 | |
|
|
1215 | 1220 | dirList = [] |
|
|
1216 | 1221 | |
|
|
1217 | 1222 | for thisPath in os.listdir(single_path): |
|
|
1218 | 1223 | |
|
|
1219 | 1224 | if not os.path.isdir(os.path.join(single_path, thisPath)): |
|
|
1220 | 1225 | continue |
|
|
1221 | 1226 | |
|
|
1222 | 1227 | if not isRadarFolder(thisPath): |
|
|
1223 | 1228 | continue |
|
|
1224 | 1229 | |
|
|
1225 | 1230 | if not isFolderInDateRange(thisPath, startDate, endDate): |
|
|
1226 | 1231 | continue |
|
|
1227 | 1232 | |
|
|
1228 | 1233 | dirList.append(thisPath) |
|
|
1229 | 1234 | |
|
|
1230 | 1235 | if not dirList: |
|
|
1231 | 1236 | continue |
|
|
1232 | 1237 | |
|
|
1233 | 1238 | dirList.sort() |
|
|
1234 | 1239 | |
|
|
1235 | 1240 | for thisDir in dirList: |
|
|
1236 | 1241 | |
|
|
1237 | 1242 | datapath = os.path.join(single_path, thisDir, expLabel) |
|
|
1238 | 1243 | fileList = glob.glob1(datapath, "*" + ext) |
|
|
1239 | 1244 | |
|
|
1240 | 1245 | if not fileList: |
|
|
1241 | 1246 | continue |
|
|
1242 | 1247 | |
|
|
1243 | 1248 | path_empty = False |
|
|
1244 | 1249 | |
|
|
1245 | 1250 | thisDate = getDateFromRadarFolder(thisDir) |
|
|
1246 | 1251 | |
|
|
1247 | 1252 | pathList.append(datapath) |
|
|
1248 | 1253 | dateList.append(thisDate) |
|
|
1249 | 1254 | |
|
|
1250 | 1255 | dateList.sort() |
|
|
1251 | 1256 | |
|
|
1252 | 1257 | if walk: |
|
|
1253 | 1258 | pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel) |
|
|
1254 | 1259 | else: |
|
|
1255 | 1260 | pattern_path = multi_path[0] |
|
|
1256 | 1261 | |
|
|
1257 | 1262 | if path_empty: |
|
|
1258 | 1263 | print("[Reading] No *%s files in %s for %s to %s" % (ext, pattern_path, startDate, endDate)) |
|
|
1259 | 1264 | else: |
|
|
1260 | 1265 | if not dateList: |
|
|
1261 | 1266 | print("[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" % (startDate, endDate, ext, path)) |
|
|
1262 | 1267 | |
|
|
1263 | 1268 | if include_path: |
|
|
1264 | 1269 | return dateList, pathList |
|
|
1265 | 1270 | |
|
|
1266 | 1271 | return dateList |
|
|
1267 | 1272 | |
|
|
1268 | 1273 | def setup(self, |
|
|
1269 | 1274 | path=None, |
|
|
1270 | 1275 | startDate=None, |
|
|
1271 | 1276 | endDate=None, |
|
|
1272 | 1277 | startTime=datetime.time(0, 0, 0), |
|
|
1273 | 1278 | endTime=datetime.time(23, 59, 59), |
|
|
1274 | 1279 | set=None, |
|
|
1275 | 1280 | expLabel="", |
|
|
1276 | 1281 | ext=None, |
|
|
1277 | 1282 | online=False, |
|
|
1278 | 1283 | delay=60, |
|
|
1279 | 1284 | walk=True, |
|
|
1280 | 1285 | getblock=False, |
|
|
1281 | 1286 | nTxs=1, |
|
|
1282 | 1287 | realtime=False, |
|
|
1283 | 1288 | blocksize=None, |
|
|
1284 | 1289 | blocktime=None, |
|
|
1285 | 1290 | skip=None, |
|
|
1286 | 1291 | cursor=None, |
|
|
1287 | 1292 | warnings=True, |
|
|
1288 | 1293 | verbose=True, |
|
|
1289 | 1294 | server=None, |
|
|
1290 | 1295 | format=None, |
|
|
1291 | 1296 | oneDDict=None, |
|
|
1292 | 1297 | twoDDict=None, |
|
|
1293 | 1298 | independentParam=None): |
|
|
1294 | 1299 | if server is not None: |
|
|
1295 | 1300 | if 'tcp://' in server: |
|
|
1296 | 1301 | address = server |
|
|
1297 | 1302 | else: |
|
|
1298 | 1303 | address = 'ipc:///tmp/%s' % server |
|
|
1299 | 1304 | self.server = address |
|
|
1300 | 1305 | self.context = zmq.Context() |
|
|
1301 | 1306 | self.receiver = self.context.socket(zmq.PULL) |
|
|
1302 | 1307 | self.receiver.connect(self.server) |
|
|
1303 | 1308 | time.sleep(0.5) |
|
|
1304 | 1309 | print('[Starting] ReceiverData from {}'.format(self.server)) |
|
|
1305 | 1310 | else: |
|
|
1306 | 1311 | self.server = None |
|
|
1307 | 1312 | if path == None: |
|
|
1308 | 1313 | raise ValueError("[Reading] The path is not valid") |
|
|
1309 | 1314 | |
|
|
1310 | 1315 | if ext == None: |
|
|
1311 | 1316 | ext = self.ext |
|
|
1312 | 1317 | |
|
|
1313 | 1318 | if online: |
|
|
1314 | 1319 | print("[Reading] Searching files in online mode...") |
|
|
1315 | 1320 | |
|
|
1316 | 1321 | for nTries in range(self.nTries): |
|
|
1317 | 1322 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine( |
|
|
1318 | 1323 | path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) |
|
|
1319 | 1324 | |
|
|
1320 | 1325 | if fullpath: |
|
|
1321 | 1326 | break |
|
|
1322 | 1327 | |
|
|
1323 | 1328 | print('[Reading] Waiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries + 1)) |
|
|
1324 | 1329 | sleep(self.delay) |
|
|
1325 | 1330 | |
|
|
1326 | 1331 | if not(fullpath): |
|
|
1327 | 1332 | self.dataOut.error = 'There isn\'t any valid file in {}'.format(path) |
|
|
1328 | 1333 | return |
|
|
1329 | 1334 | |
|
|
1330 | 1335 | self.year = year |
|
|
1331 | 1336 | self.doy = doy |
|
|
1332 | 1337 | self.set = set - 1 |
|
|
1333 | 1338 | self.path = path |
|
|
1334 | 1339 | self.foldercounter = foldercounter |
|
|
1335 | 1340 | last_set = None |
|
|
1336 | 1341 | else: |
|
|
1337 | 1342 | print("[Reading] Searching files in offline mode ...") |
|
|
1338 | 1343 | pathList, filenameList = self.searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|
1339 | 1344 | startTime=startTime, endTime=endTime, |
|
|
1340 | 1345 | set=set, expLabel=expLabel, ext=ext, |
|
|
1341 | 1346 | walk=walk, cursor=cursor, |
|
|
1342 | 1347 | skip=skip) |
|
|
1343 | 1348 | |
|
|
1344 | 1349 | if not(pathList): |
|
|
1345 | 1350 | self.fileIndex = -1 |
|
|
1346 | 1351 | self.pathList = [] |
|
|
1347 | 1352 | self.filenameList = [] |
|
|
1348 | 1353 | return |
|
|
1349 | 1354 | |
|
|
1350 | 1355 | self.fileIndex = -1 |
|
|
1351 | 1356 | self.pathList = pathList |
|
|
1352 | 1357 | self.filenameList = filenameList |
|
|
1353 | 1358 | file_name = os.path.basename(filenameList[-1]) |
|
|
1354 | 1359 | basename, ext = os.path.splitext(file_name) |
|
|
1355 | 1360 | last_set = int(basename[-3:]) |
|
|
1356 | 1361 | |
|
|
1357 | 1362 | self.online = online |
|
|
1358 | 1363 | self.realtime = realtime |
|
|
1359 | 1364 | self.delay = delay |
|
|
1360 | 1365 | ext = ext.lower() |
|
|
1361 | 1366 | self.ext = ext |
|
|
1362 | 1367 | self.getByBlock = getblock |
|
|
1363 | 1368 | self.nTxs = nTxs |
|
|
1364 | 1369 | self.startTime = startTime |
|
|
1365 | 1370 | self.endTime = endTime |
|
|
1366 | 1371 | self.endDate = endDate |
|
|
1367 | 1372 | self.startDate = startDate |
|
|
1368 | 1373 | # Added----------------- |
|
|
1369 | 1374 | self.selBlocksize = blocksize |
|
|
1370 | 1375 | self.selBlocktime = blocktime |
|
|
1371 | 1376 | |
|
|
1372 | 1377 | # Verbose----------- |
|
|
1373 | 1378 | self.verbose = verbose |
|
|
1374 | 1379 | self.warnings = warnings |
|
|
1375 | 1380 | |
|
|
1376 | 1381 | if not(self.setNextFile()): |
|
|
1377 | 1382 | if (startDate != None) and (endDate != None): |
|
|
1378 | 1383 | print("[Reading] No files in range: %s - %s" % (datetime.datetime.combine(startDate, startTime).ctime(), datetime.datetime.combine(endDate, endTime).ctime())) |
|
|
1379 | 1384 | elif startDate != None: |
|
|
1380 | 1385 | print("[Reading] No files in range: %s" % (datetime.datetime.combine(startDate, startTime).ctime())) |
|
|
1381 | 1386 | else: |
|
|
1382 | 1387 | print("[Reading] No files") |
|
|
1383 | 1388 | |
|
|
1384 | 1389 | self.fileIndex = -1 |
|
|
1385 | 1390 | self.pathList = [] |
|
|
1386 | 1391 | self.filenameList = [] |
|
|
1387 | 1392 | return |
|
|
1388 | 1393 | |
|
|
1389 | 1394 | # self.getBasicHeader() |
|
|
1390 | 1395 | |
|
|
1391 | 1396 | if last_set != None: |
|
|
1392 | 1397 | self.dataOut.last_block = last_set * \ |
|
|
1393 | 1398 | self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock |
|
|
1394 | 1399 | return |
|
|
1395 | 1400 | |
|
|
1396 | 1401 | def getBasicHeader(self): |
|
|
1397 | 1402 | |
|
|
1398 | 1403 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond / \ |
|
|
1399 | 1404 | 1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1400 | 1405 | |
|
|
1401 | 1406 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
1402 | 1407 | |
|
|
1403 | 1408 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1404 | 1409 | |
|
|
1405 | 1410 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1406 | 1411 | |
|
|
1407 | 1412 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1408 | 1413 | |
|
|
1409 | 1414 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1410 | 1415 | |
|
|
1411 | 1416 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds / self.nTxs |
|
|
1412 | 1417 | |
|
|
1413 | 1418 | # self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
1414 | 1419 | |
|
|
1415 | 1420 | def getFirstHeader(self): |
|
|
1416 | 1421 | |
|
|
1417 | 1422 | raise NotImplementedError |
|
|
1418 | 1423 | |
|
|
1419 | 1424 | def getData(self): |
|
|
1420 | 1425 | |
|
|
1421 | 1426 | raise NotImplementedError |
|
|
1422 | 1427 | |
|
|
1423 | 1428 | def hasNotDataInBuffer(self): |
|
|
1424 | 1429 | |
|
|
1425 | 1430 | raise NotImplementedError |
|
|
1426 | 1431 | |
|
|
1427 | 1432 | def readBlock(self): |
|
|
1428 | 1433 | |
|
|
1429 | 1434 | raise NotImplementedError |
|
|
1430 | 1435 | |
|
|
1431 | 1436 | def isEndProcess(self): |
|
|
1432 | 1437 | |
|
|
1433 | 1438 | return self.flagNoMoreFiles |
|
|
1434 | 1439 | |
|
|
1435 | 1440 | def printReadBlocks(self): |
|
|
1436 | 1441 | |
|
|
1437 | 1442 | print("[Reading] Number of read blocks per file %04d" % self.nReadBlocks) |
|
|
1438 | 1443 | |
|
|
1439 | 1444 | def printTotalBlocks(self): |
|
|
1440 | 1445 | |
|
|
1441 | 1446 | print("[Reading] Number of read blocks %04d" % self.nTotalBlocks) |
|
|
1442 | 1447 | |
|
|
1443 | 1448 | def printNumberOfBlock(self): |
|
|
1444 | 1449 | 'SPAM!' |
|
|
1445 | 1450 | |
|
|
1446 | 1451 | # if self.flagIsNewBlock: |
|
|
1447 | 1452 | # print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, |
|
|
1448 | 1453 | # self.processingHeaderObj.dataBlocksPerFile, |
|
|
1449 | 1454 | # self.dataOut.datatime.ctime()) |
|
|
1450 | 1455 | |
|
|
1451 | 1456 | def printInfo(self): |
|
|
1452 | 1457 | |
|
|
1453 | 1458 | if self.__printInfo == False: |
|
|
1454 | 1459 | return |
|
|
1455 | 1460 | |
|
|
1456 | 1461 | self.basicHeaderObj.printInfo() |
|
|
1457 | 1462 | self.systemHeaderObj.printInfo() |
|
|
1458 | 1463 | self.radarControllerHeaderObj.printInfo() |
|
|
1459 | 1464 | self.processingHeaderObj.printInfo() |
|
|
1460 | 1465 | |
|
|
1461 | 1466 | self.__printInfo = False |
|
|
1462 | 1467 | |
|
|
1463 | 1468 | def run(self, |
|
|
1464 | 1469 | path=None, |
|
|
1465 | 1470 | startDate=None, |
|
|
1466 | 1471 | endDate=None, |
|
|
1467 | 1472 | startTime=datetime.time(0, 0, 0), |
|
|
1468 | 1473 | endTime=datetime.time(23, 59, 59), |
|
|
1469 | 1474 | set=None, |
|
|
1470 | 1475 | expLabel="", |
|
|
1471 | 1476 | ext=None, |
|
|
1472 | 1477 | online=False, |
|
|
1473 | 1478 | delay=60, |
|
|
1474 | 1479 | walk=True, |
|
|
1475 | 1480 | getblock=False, |
|
|
1476 | 1481 | nTxs=1, |
|
|
1477 | 1482 | realtime=False, |
|
|
1478 | 1483 | blocksize=None, |
|
|
1479 | 1484 | blocktime=None, |
|
|
1480 | 1485 | skip=None, |
|
|
1481 | 1486 | cursor=None, |
|
|
1482 | 1487 | warnings=True, |
|
|
1483 | 1488 | server=None, |
|
|
1484 | 1489 | verbose=True, |
|
|
1485 | 1490 | format=None, |
|
|
1486 | 1491 | oneDDict=None, |
|
|
1487 | 1492 | twoDDict=None, |
|
|
1488 | 1493 | independentParam=None, **kwargs): |
|
|
1489 | 1494 | |
|
|
1490 | 1495 | if not(self.isConfig): |
|
|
1491 | 1496 | self.setup(path=path, |
|
|
1492 | 1497 | startDate=startDate, |
|
|
1493 | 1498 | endDate=endDate, |
|
|
1494 | 1499 | startTime=startTime, |
|
|
1495 | 1500 | endTime=endTime, |
|
|
1496 | 1501 | set=set, |
|
|
1497 | 1502 | expLabel=expLabel, |
|
|
1498 | 1503 | ext=ext, |
|
|
1499 | 1504 | online=online, |
|
|
1500 | 1505 | delay=delay, |
|
|
1501 | 1506 | walk=walk, |
|
|
1502 | 1507 | getblock=getblock, |
|
|
1503 | 1508 | nTxs=nTxs, |
|
|
1504 | 1509 | realtime=realtime, |
|
|
1505 | 1510 | blocksize=blocksize, |
|
|
1506 | 1511 | blocktime=blocktime, |
|
|
1507 | 1512 | skip=skip, |
|
|
1508 | 1513 | cursor=cursor, |
|
|
1509 | 1514 | warnings=warnings, |
|
|
1510 | 1515 | server=server, |
|
|
1511 | 1516 | verbose=verbose, |
|
|
1512 | 1517 | format=format, |
|
|
1513 | 1518 | oneDDict=oneDDict, |
|
|
1514 | 1519 | twoDDict=twoDDict, |
|
|
1515 | 1520 | independentParam=independentParam) |
|
|
1516 | 1521 | self.isConfig = True |
|
|
1517 | 1522 | if server is None: |
|
|
1518 | 1523 | self.getData() |
|
|
1519 | 1524 | else: |
|
|
1520 | 1525 | self.getFromServer() |
|
|
1521 | 1526 | |
|
|
1522 | 1527 | |
|
|
1523 | 1528 | class JRODataWriter(JRODataIO): |
|
|
1524 | 1529 | |
|
|
1525 | 1530 | """ |
|
|
1526 | 1531 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1527 | 1532 | de los datos siempre se realiza por bloques. |
|
|
1528 | 1533 | """ |
|
|
1529 | 1534 | |
|
|
1530 | 1535 | blockIndex = 0 |
|
|
1531 | 1536 | |
|
|
1532 | 1537 | path = None |
|
|
1533 | 1538 | |
|
|
1534 | 1539 | setFile = None |
|
|
1535 | 1540 | |
|
|
1536 | 1541 | profilesPerBlock = None |
|
|
1537 | 1542 | |
|
|
1538 | 1543 | blocksPerFile = None |
|
|
1539 | 1544 | |
|
|
1540 | 1545 | nWriteBlocks = 0 |
|
|
1541 | 1546 | |
|
|
1542 | 1547 | fileDate = None |
|
|
1543 | 1548 | |
|
|
1544 | 1549 | def __init__(self, dataOut=None): |
|
|
1545 | 1550 | raise NotImplementedError |
|
|
1546 | 1551 | |
|
|
1547 | 1552 | def hasAllDataInBuffer(self): |
|
|
1548 | 1553 | raise NotImplementedError |
|
|
1549 | 1554 | |
|
|
1550 | 1555 | def setBlockDimension(self): |
|
|
1551 | 1556 | raise NotImplementedError |
|
|
1552 | 1557 | |
|
|
1553 | 1558 | def writeBlock(self): |
|
|
1554 | 1559 | raise NotImplementedError |
|
|
1555 | 1560 | |
|
|
1556 | 1561 | def putData(self): |
|
|
1557 | 1562 | raise NotImplementedError |
|
|
1558 | 1563 | |
|
|
1559 | 1564 | def getProcessFlags(self): |
|
|
1560 | 1565 | |
|
|
1561 | 1566 | processFlags = 0 |
|
|
1562 | 1567 | |
|
|
1563 | 1568 | dtype_index = get_dtype_index(self.dtype) |
|
|
1564 | 1569 | procflag_dtype = get_procflag_dtype(dtype_index) |
|
|
1565 | 1570 | |
|
|
1566 | 1571 | processFlags += procflag_dtype |
|
|
1567 | 1572 | |
|
|
1568 | 1573 | if self.dataOut.flagDecodeData: |
|
|
1569 | 1574 | processFlags += PROCFLAG.DECODE_DATA |
|
|
1570 | 1575 | |
|
|
1571 | 1576 | if self.dataOut.flagDeflipData: |
|
|
1572 | 1577 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
1573 | 1578 | |
|
|
1574 | 1579 | if self.dataOut.code is not None: |
|
|
1575 | 1580 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
1576 | 1581 | |
|
|
1577 | 1582 | if self.dataOut.nCohInt > 1: |
|
|
1578 | 1583 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
1579 | 1584 | |
|
|
1580 | 1585 | if self.dataOut.type == "Spectra": |
|
|
1581 | 1586 | if self.dataOut.nIncohInt > 1: |
|
|
1582 | 1587 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|
1583 | 1588 | |
|
|
1584 | 1589 | if self.dataOut.data_dc is not None: |
|
|
1585 | 1590 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|
1586 | 1591 | |
|
|
1587 | 1592 | if self.dataOut.flagShiftFFT: |
|
|
1588 | 1593 | processFlags += PROCFLAG.SHIFT_FFT_DATA |
|
|
1589 | 1594 | |
|
|
1590 | 1595 | return processFlags |
|
|
1591 | 1596 | |
|
|
1592 | 1597 | def setBasicHeader(self): |
|
|
1593 | 1598 | |
|
|
1594 | 1599 | self.basicHeaderObj.size = self.basicHeaderSize # bytes |
|
|
1595 | 1600 | self.basicHeaderObj.version = self.versionFile |
|
|
1596 | 1601 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
1597 | 1602 | |
|
|
1598 | 1603 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1599 | 1604 | milisecond = (self.dataOut.utctime - utc) * 1000.0 |
|
|
1600 | 1605 | |
|
|
1601 | 1606 | self.basicHeaderObj.utc = utc |
|
|
1602 | 1607 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1603 | 1608 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1604 | 1609 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1605 | 1610 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1606 | 1611 | |
|
|
1607 | 1612 | def setFirstHeader(self): |
|
|
1608 | 1613 | """ |
|
|
1609 | 1614 | Obtiene una copia del First Header |
|
|
1610 | 1615 | |
|
|
1611 | 1616 | Affected: |
|
|
1612 | 1617 | |
|
|
1613 | 1618 | self.basicHeaderObj |
|
|
1614 | 1619 | self.systemHeaderObj |
|
|
1615 | 1620 | self.radarControllerHeaderObj |
|
|
1616 | 1621 | self.processingHeaderObj self. |
|
|
1617 | 1622 | |
|
|
1618 | 1623 | Return: |
|
|
1619 | 1624 | None |
|
|
1620 | 1625 | """ |
|
|
1621 | 1626 | |
|
|
1622 | 1627 | raise NotImplementedError |
|
|
1623 | 1628 | |
|
|
1624 | 1629 | def __writeFirstHeader(self): |
|
|
1625 | 1630 | """ |
|
|
1626 | 1631 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1627 | 1632 | |
|
|
1628 | 1633 | Affected: |
|
|
1629 | 1634 | __dataType |
|
|
1630 | 1635 | |
|
|
1631 | 1636 | Return: |
|
|
1632 | 1637 | None |
|
|
1633 | 1638 | """ |
|
|
1634 | 1639 | |
|
|
1635 | 1640 | # CALCULAR PARAMETROS |
|
|
1636 | 1641 | |
|
|
1637 | 1642 | sizeLongHeader = self.systemHeaderObj.size + \ |
|
|
1638 | 1643 | self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1639 | 1644 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1640 | 1645 | |
|
|
1641 | 1646 | self.basicHeaderObj.write(self.fp) |
|
|
1642 | 1647 | self.systemHeaderObj.write(self.fp) |
|
|
1643 | 1648 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1644 | 1649 | self.processingHeaderObj.write(self.fp) |
|
|
1645 | 1650 | |
|
|
1646 | 1651 | def __setNewBlock(self): |
|
|
1647 | 1652 | """ |
|
|
1648 | 1653 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1649 | 1654 | |
|
|
1650 | 1655 | Return: |
|
|
1651 | 1656 | 0 : si no pudo escribir nada |
|
|
1652 | 1657 | 1 : Si escribio el Basic el First Header |
|
|
1653 | 1658 | """ |
|
|
1654 | 1659 | if self.fp == None: |
|
|
1655 | 1660 | self.setNextFile() |
|
|
1656 | 1661 | |
|
|
1657 | 1662 | if self.flagIsNewFile: |
|
|
1658 | 1663 | return 1 |
|
|
1659 | 1664 | |
|
|
1660 | 1665 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1661 | 1666 | self.basicHeaderObj.write(self.fp) |
|
|
1662 | 1667 | return 1 |
|
|
1663 | 1668 | |
|
|
1664 | 1669 | if not(self.setNextFile()): |
|
|
1665 | 1670 | return 0 |
|
|
1666 | 1671 | |
|
|
1667 | 1672 | return 1 |
|
|
1668 | 1673 | |
|
|
1669 | 1674 | def writeNextBlock(self): |
|
|
1670 | 1675 | """ |
|
|
1671 | 1676 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1672 | 1677 | |
|
|
1673 | 1678 | Return: |
|
|
1674 | 1679 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1675 | 1680 | 1 : Si no pudo escribir el bloque de datos |
|
|
1676 | 1681 | """ |
|
|
1677 | 1682 | if not(self.__setNewBlock()): |
|
|
1678 | 1683 | return 0 |
|
|
1679 | 1684 | |
|
|
1680 | 1685 | self.writeBlock() |
|
|
1681 | 1686 | |
|
|
1682 | 1687 | print("[Writing] Block No. %d/%d" % (self.blockIndex, |
|
|
1683 | 1688 | self.processingHeaderObj.dataBlocksPerFile)) |
|
|
1684 | 1689 | |
|
|
1685 | 1690 | return 1 |
|
|
1686 | 1691 | |
|
|
1687 | 1692 | def setNextFile(self): |
|
|
1688 | 1693 | """ |
|
|
1689 | 1694 | Determina el siguiente file que sera escrito |
|
|
1690 | 1695 | |
|
|
1691 | 1696 | Affected: |
|
|
1692 | 1697 | self.filename |
|
|
1693 | 1698 | self.subfolder |
|
|
1694 | 1699 | self.fp |
|
|
1695 | 1700 | self.setFile |
|
|
1696 | 1701 | self.flagIsNewFile |
|
|
1697 | 1702 | |
|
|
1698 | 1703 | Return: |
|
|
1699 | 1704 | 0 : Si el archivo no puede ser escrito |
|
|
1700 | 1705 | 1 : Si el archivo esta listo para ser escrito |
|
|
1701 | 1706 | """ |
|
|
1702 | 1707 | ext = self.ext |
|
|
1703 | 1708 | path = self.path |
|
|
1704 | 1709 | |
|
|
1705 | 1710 | if self.fp != None: |
|
|
1706 | 1711 | self.fp.close() |
|
|
1707 | 1712 | |
|
|
1708 | 1713 | timeTuple = time.localtime(self.dataOut.utctime) |
|
|
1709 | 1714 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year, timeTuple.tm_yday) |
|
|
1710 | 1715 | |
|
|
1711 | 1716 | fullpath = os.path.join(path, subfolder) |
|
|
1712 | 1717 | setFile = self.setFile |
|
|
1713 | 1718 | |
|
|
1714 | 1719 | if not(os.path.exists(fullpath)): |
|
|
1715 | 1720 | os.mkdir(fullpath) |
|
|
1716 | 1721 | setFile = -1 # inicializo mi contador de seteo |
|
|
1717 | 1722 | else: |
|
|
1718 | 1723 | filesList = os.listdir(fullpath) |
|
|
1719 | 1724 | if len(filesList) > 0: |
|
|
1720 | 1725 | filesList = sorted(filesList, key=str.lower) |
|
|
1721 | 1726 | filen = filesList[-1] |
|
|
1722 | 1727 | # el filename debera tener el siguiente formato |
|
|
1723 | 1728 | # 0 1234 567 89A BCDE (hex) |
|
|
1724 | 1729 | # x YYYY DDD SSS .ext |
|
|
1725 | 1730 | if isNumber(filen[8:11]): |
|
|
1726 | 1731 | # inicializo mi contador de seteo al seteo del ultimo file |
|
|
1727 | 1732 | setFile = int(filen[8:11]) |
|
|
1728 | 1733 | else: |
|
|
1729 | 1734 | setFile = -1 |
|
|
1730 | 1735 | else: |
|
|
1731 | 1736 | setFile = -1 # inicializo mi contador de seteo |
|
|
1732 | 1737 | |
|
|
1733 | 1738 | setFile += 1 |
|
|
1734 | 1739 | |
|
|
1735 | 1740 | # If this is a new day it resets some values |
|
|
1736 | 1741 | if self.dataOut.datatime.date() > self.fileDate: |
|
|
1737 | 1742 | setFile = 0 |
|
|
1738 | 1743 | self.nTotalBlocks = 0 |
|
|
1739 | 1744 | |
|
|
1740 | 1745 | filen = '{}{:04d}{:03d}{:03d}{}'.format( |
|
|
1741 | 1746 | self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext) |
|
|
1742 | 1747 | |
|
|
1743 | 1748 | filename = os.path.join(path, subfolder, filen) |
|
|
1744 | 1749 | |
|
|
1745 | 1750 | fp = open(filename, 'wb') |
|
|
1746 | 1751 | |
|
|
1747 | 1752 | self.blockIndex = 0 |
|
|
1748 | 1753 | |
|
|
1749 | 1754 | # guardando atributos |
|
|
1750 | 1755 | self.filename = filename |
|
|
1751 | 1756 | self.subfolder = subfolder |
|
|
1752 | 1757 | self.fp = fp |
|
|
1753 | 1758 | self.setFile = setFile |
|
|
1754 | 1759 | self.flagIsNewFile = 1 |
|
|
1755 | 1760 | self.fileDate = self.dataOut.datatime.date() |
|
|
1756 | 1761 | |
|
|
1757 | 1762 | self.setFirstHeader() |
|
|
1758 | 1763 | |
|
|
1759 | 1764 | print('[Writing] Opening file: %s' % self.filename) |
|
|
1760 | 1765 | |
|
|
1761 | 1766 | self.__writeFirstHeader() |
|
|
1762 | 1767 | |
|
|
1763 | 1768 | return 1 |
|
|
1764 | 1769 | |
|
|
1765 | 1770 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4): |
|
|
1766 | 1771 | """ |
|
|
1767 | 1772 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1768 | 1773 | |
|
|
1769 | 1774 | Inputs: |
|
|
1770 | 1775 | path : directory where data will be saved |
|
|
1771 | 1776 | profilesPerBlock : number of profiles per block |
|
|
1772 | 1777 | set : initial file set |
|
|
1773 | 1778 | datatype : An integer number that defines data type: |
|
|
1774 | 1779 | 0 : int8 (1 byte) |
|
|
1775 | 1780 | 1 : int16 (2 bytes) |
|
|
1776 | 1781 | 2 : int32 (4 bytes) |
|
|
1777 | 1782 | 3 : int64 (8 bytes) |
|
|
1778 | 1783 | 4 : float32 (4 bytes) |
|
|
1779 | 1784 | 5 : double64 (8 bytes) |
|
|
1780 | 1785 | |
|
|
1781 | 1786 | Return: |
|
|
1782 | 1787 | 0 : Si no realizo un buen seteo |
|
|
1783 | 1788 | 1 : Si realizo un buen seteo |
|
|
1784 | 1789 | """ |
|
|
1785 | 1790 | |
|
|
1786 | 1791 | if ext == None: |
|
|
1787 | 1792 | ext = self.ext |
|
|
1788 | 1793 | |
|
|
1789 | 1794 | self.ext = ext.lower() |
|
|
1790 | 1795 | |
|
|
1791 | 1796 | self.path = path |
|
|
1792 | 1797 | |
|
|
1793 | 1798 | if set is None: |
|
|
1794 | 1799 | self.setFile = -1 |
|
|
1795 | 1800 | else: |
|
|
1796 | 1801 | self.setFile = set - 1 |
|
|
1797 | 1802 | |
|
|
1798 | 1803 | self.blocksPerFile = blocksPerFile |
|
|
1799 | 1804 | |
|
|
1800 | 1805 | self.profilesPerBlock = profilesPerBlock |
|
|
1801 | 1806 | |
|
|
1802 | 1807 | self.dataOut = dataOut |
|
|
1803 | 1808 | self.fileDate = self.dataOut.datatime.date() |
|
|
1804 | 1809 | # By default |
|
|
1805 | 1810 | self.dtype = self.dataOut.dtype |
|
|
1806 | 1811 | |
|
|
1807 | 1812 | if datatype is not None: |
|
|
1808 | 1813 | self.dtype = get_numpy_dtype(datatype) |
|
|
1809 | 1814 | |
|
|
1810 | 1815 | if not(self.setNextFile()): |
|
|
1811 | 1816 | print("[Writing] There isn't a next file") |
|
|
1812 | 1817 | return 0 |
|
|
1813 | 1818 | |
|
|
1814 | 1819 | self.setBlockDimension() |
|
|
1815 | 1820 | |
|
|
1816 | 1821 | return 1 |
|
|
1817 | 1822 | |
|
|
1818 | 1823 | def run(self, dataOut, path, blocksPerFile=100, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): |
|
|
1819 | 1824 | |
|
|
1820 | 1825 | if not(self.isConfig): |
|
|
1821 | 1826 | |
|
|
1822 | 1827 | self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, |
|
|
1823 | 1828 | set=set, ext=ext, datatype=datatype, **kwargs) |
|
|
1824 | 1829 | self.isConfig = True |
|
|
1825 | 1830 | |
|
|
1826 | 1831 | self.dataOut = dataOut |
|
|
1827 | 1832 | self.putData() |
|
|
1828 | 1833 | return self.dataOut No newline at end of file |
| @@ -1,390 +1,404 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Updated for multiprocessing |
|
|
3 | 3 | Author : Sergio Cortez |
|
|
4 | 4 | Jan 2018 |
|
|
5 | 5 | Abstract: |
|
|
6 | 6 | Base class for processing units and operations. A decorator provides multiprocessing features and interconnect the processes created. |
|
|
7 | 7 | The argument (kwargs) sent from the controller is parsed and filtered via the decorator for each processing unit or operation instantiated. |
|
|
8 | 8 | The decorator handle also the methods inside the processing unit to be called from the main script (not as operations) (OPERATION -> type ='self'). |
|
|
9 | 9 | |
|
|
10 | 10 | Based on: |
|
|
11 | 11 | $Author: murco $ |
|
|
12 | 12 | $Id: jroproc_base.py 1 2012-11-12 18:56:07Z murco $ |
|
|
13 | 13 | ''' |
|
|
14 | 14 | |
|
|
15 | 15 | import os |
|
|
16 | 16 | import inspect |
|
|
17 | 17 | import zmq |
|
|
18 | 18 | import time |
|
|
19 | 19 | import pickle |
|
|
20 | 20 | from multiprocessing import Process |
|
|
21 | 21 | from zmq.utils.monitor import recv_monitor_message |
|
|
22 | 22 | |
|
|
23 | 23 | from schainpy.utils import log |
|
|
24 | 24 | |
|
|
25 | 25 | |
|
|
26 | 26 | class ProcessingUnit(object): |
|
|
27 | 27 | |
|
|
28 | 28 | """ |
|
|
29 | 29 | Update - Jan 2018 - MULTIPROCESSING |
|
|
30 | 30 | All the "call" methods present in the previous base were removed. |
|
|
31 | 31 | The majority of operations are independant processes, thus |
|
|
32 | 32 | the decorator is in charge of communicate the operation processes |
|
|
33 | 33 | with the proccessing unit via IPC. |
|
|
34 | 34 | |
|
|
35 | 35 | The constructor does not receive any argument. The remaining methods |
|
|
36 | 36 | are related with the operations to execute. |
|
|
37 | 37 | |
|
|
38 | 38 | |
|
|
39 | 39 | """ |
|
|
40 | 40 | |
|
|
41 | 41 | def __init__(self): |
|
|
42 | 42 | |
|
|
43 | 43 | self.dataIn = None |
|
|
44 | 44 | self.dataOut = None |
|
|
45 | 45 | self.isConfig = False |
|
|
46 | 46 | self.operations = [] |
|
|
47 | 47 | self.plots = [] |
|
|
48 | 48 | |
|
|
49 | 49 | def getAllowedArgs(self): |
|
|
50 | 50 | if hasattr(self, '__attrs__'): |
|
|
51 | 51 | return self.__attrs__ |
|
|
52 | 52 | else: |
|
|
53 | 53 | return inspect.getargspec(self.run).args |
|
|
54 | 54 | |
|
|
55 | 55 | def addOperation(self, conf, operation): |
|
|
56 | 56 | """ |
|
|
57 | 57 | This method is used in the controller, and update the dictionary containing the operations to execute. The dict |
|
|
58 | 58 | posses the id of the operation process (IPC purposes) |
|
|
59 | 59 | |
|
|
60 | 60 | Agrega un objeto del tipo "Operation" (opObj) a la lista de objetos "self.objectList" y retorna el |
|
|
61 | 61 | identificador asociado a este objeto. |
|
|
62 | 62 | |
|
|
63 | 63 | Input: |
|
|
64 | 64 | |
|
|
65 | 65 | object : objeto de la clase "Operation" |
|
|
66 | 66 | |
|
|
67 | 67 | Return: |
|
|
68 | 68 | |
|
|
69 | 69 | objId : identificador del objeto, necesario para comunicar con master(procUnit) |
|
|
70 | 70 | """ |
|
|
71 | 71 | |
|
|
72 | 72 | self.operations.append( |
|
|
73 | 73 | (operation, conf.type, conf.id, conf.getKwargs())) |
|
|
74 | 74 | |
|
|
75 | 75 | if 'plot' in self.name.lower(): |
|
|
76 | 76 | self.plots.append(operation.CODE) |
|
|
77 | 77 | |
|
|
78 | 78 | def getOperationObj(self, objId): |
|
|
79 | 79 | |
|
|
80 | 80 | if objId not in list(self.operations.keys()): |
|
|
81 | 81 | return None |
|
|
82 | 82 | |
|
|
83 | 83 | return self.operations[objId] |
|
|
84 | 84 | |
|
|
85 | 85 | def operation(self, **kwargs): |
|
|
86 | 86 | """ |
|
|
87 | 87 | Operacion directa sobre la data (dataOut.data). Es necesario actualizar los valores de los |
|
|
88 | 88 | atributos del objeto dataOut |
|
|
89 | 89 | |
|
|
90 | 90 | Input: |
|
|
91 | 91 | |
|
|
92 | 92 | **kwargs : Diccionario de argumentos de la funcion a ejecutar |
|
|
93 | 93 | """ |
|
|
94 | 94 | |
|
|
95 | 95 | raise NotImplementedError |
|
|
96 | 96 | |
|
|
97 | 97 | def setup(self): |
|
|
98 | 98 | |
|
|
99 | 99 | raise NotImplementedError |
|
|
100 | 100 | |
|
|
101 | 101 | def run(self): |
|
|
102 | 102 | |
|
|
103 | 103 | raise NotImplementedError |
|
|
104 | 104 | |
|
|
105 | 105 | def close(self): |
|
|
106 | 106 | |
|
|
107 | 107 | return |
|
|
108 | 108 | |
|
|
109 | 109 | |
|
|
110 | 110 | class Operation(object): |
|
|
111 | 111 | |
|
|
112 | 112 | """ |
|
|
113 | 113 | Update - Jan 2018 - MULTIPROCESSING |
|
|
114 | 114 | |
|
|
115 | 115 | Most of the methods remained the same. The decorator parse the arguments and executed the run() method for each process. |
|
|
116 | 116 | The constructor doe snot receive any argument, neither the baseclass. |
|
|
117 | 117 | |
|
|
118 | 118 | |
|
|
119 | 119 | Clase base para definir las operaciones adicionales que se pueden agregar a la clase ProcessingUnit |
|
|
120 | 120 | y necesiten acumular informacion previa de los datos a procesar. De preferencia usar un buffer de |
|
|
121 | 121 | acumulacion dentro de esta clase |
|
|
122 | 122 | |
|
|
123 | 123 | Ejemplo: Integraciones coherentes, necesita la informacion previa de los n perfiles anteriores (bufffer) |
|
|
124 | 124 | |
|
|
125 | 125 | """ |
|
|
126 | 126 | |
|
|
127 | 127 | def __init__(self): |
|
|
128 | 128 | |
|
|
129 | 129 | self.id = None |
|
|
130 | 130 | self.isConfig = False |
|
|
131 | 131 | |
|
|
132 | 132 | if not hasattr(self, 'name'): |
|
|
133 | 133 | self.name = self.__class__.__name__ |
|
|
134 | 134 | |
|
|
135 | 135 | def getAllowedArgs(self): |
|
|
136 | 136 | if hasattr(self, '__attrs__'): |
|
|
137 | 137 | return self.__attrs__ |
|
|
138 | 138 | else: |
|
|
139 | 139 | return inspect.getargspec(self.run).args |
|
|
140 | 140 | |
|
|
141 | 141 | def setup(self): |
|
|
142 | 142 | |
|
|
143 | 143 | self.isConfig = True |
|
|
144 | 144 | |
|
|
145 | 145 | raise NotImplementedError |
|
|
146 | 146 | |
|
|
147 | 147 | def run(self, dataIn, **kwargs): |
|
|
148 | 148 | """ |
|
|
149 | 149 | Realiza las operaciones necesarias sobre la dataIn.data y actualiza los |
|
|
150 | 150 | atributos del objeto dataIn. |
|
|
151 | 151 | |
|
|
152 | 152 | Input: |
|
|
153 | 153 | |
|
|
154 | 154 | dataIn : objeto del tipo JROData |
|
|
155 | 155 | |
|
|
156 | 156 | Return: |
|
|
157 | 157 | |
|
|
158 | 158 | None |
|
|
159 | 159 | |
|
|
160 | 160 | Affected: |
|
|
161 | 161 | __buffer : buffer de recepcion de datos. |
|
|
162 | 162 | |
|
|
163 | 163 | """ |
|
|
164 | 164 | if not self.isConfig: |
|
|
165 | 165 | self.setup(**kwargs) |
|
|
166 | 166 | |
|
|
167 | 167 | raise NotImplementedError |
|
|
168 | 168 | |
|
|
169 | 169 | def close(self): |
|
|
170 | 170 | |
|
|
171 | 171 | return |
|
|
172 | 172 | |
|
|
173 | 173 | |
|
|
174 | 174 | def MPDecorator(BaseClass): |
|
|
175 | 175 | """ |
|
|
176 | 176 | Multiprocessing class decorator |
|
|
177 | 177 | |
|
|
178 | 178 | This function add multiprocessing features to a BaseClass. Also, it handle |
|
|
179 | 179 | the communication beetween processes (readers, procUnits and operations). |
|
|
180 | 180 | """ |
|
|
181 | 181 | |
|
|
182 | 182 | class MPClass(BaseClass, Process): |
|
|
183 | 183 | |
|
|
184 | 184 | def __init__(self, *args, **kwargs): |
|
|
185 | 185 | super(MPClass, self).__init__() |
|
|
186 | 186 | Process.__init__(self) |
|
|
187 | 187 | self.operationKwargs = {} |
|
|
188 | 188 | self.args = args |
|
|
189 | 189 | self.kwargs = kwargs |
|
|
190 | 190 | self.sender = None |
|
|
191 | 191 | self.receiver = None |
|
|
192 | self.i = 0 | |
|
|
192 | 193 | self.name = BaseClass.__name__ |
|
|
193 | 194 | if 'plot' in self.name.lower() and not self.name.endswith('_'): |
|
|
194 | 195 | self.name = '{}{}'.format(self.CODE.upper(), 'Plot') |
|
|
195 | 196 | self.start_time = time.time() |
|
|
196 | 197 | |
|
|
197 | 198 | if len(self.args) is 3: |
|
|
198 | 199 | self.typeProc = "ProcUnit" |
|
|
199 | 200 | self.id = args[0] |
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200 | 201 | self.inputId = args[1] |
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201 | 202 | self.project_id = args[2] |
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202 | 203 | elif len(self.args) is 2: |
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203 | 204 | self.id = args[0] |
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204 | 205 | self.inputId = args[0] |
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205 | 206 | self.project_id = args[1] |
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206 | 207 | self.typeProc = "Operation" |
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208 | ||
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209 | def fix_publish(self,valor,multiple1): | |
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210 | return True if valor%multiple1 ==0 else False | |
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207 | 211 | |
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208 | 212 | def subscribe(self): |
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209 | 213 | ''' |
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210 | 214 | This function create a socket to receive objects from the |
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211 | 215 | topic `inputId`. |
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212 | 216 | ''' |
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213 | 217 | |
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214 | 218 | c = zmq.Context() |
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215 | 219 | self.receiver = c.socket(zmq.SUB) |
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216 | 220 | self.receiver.connect( |
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217 | 221 | 'ipc:///tmp/schain/{}_pub'.format(self.project_id)) |
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218 | 222 | self.receiver.setsockopt(zmq.SUBSCRIBE, self.inputId.encode()) |
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219 | 223 | |
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220 | 224 | def listen(self): |
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221 | 225 | ''' |
|
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222 | 226 | This function waits for objects and deserialize using pickle |
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223 | 227 | ''' |
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224 | ||
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225 | data = pickle.loads(self.receiver.recv_multipart()[1]) | |
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228 | try: | |
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229 | data = pickle.loads(self.receiver.recv_multipart()[1]) | |
|
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230 | except zmq.ZMQError as e: | |
|
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231 | if e.errno == zmq.ETERM: | |
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232 | print (e.errno) | |
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226 | 233 | |
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227 | 234 | return data |
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228 | 235 | |
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229 | 236 | def set_publisher(self): |
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230 | 237 | ''' |
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231 | 238 | This function create a socket for publishing purposes. |
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232 | 239 | ''' |
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233 | 240 | |
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234 | 241 | time.sleep(1) |
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235 | 242 | c = zmq.Context() |
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236 | 243 | self.sender = c.socket(zmq.PUB) |
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237 | 244 | self.sender.connect( |
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238 | 245 | 'ipc:///tmp/schain/{}_sub'.format(self.project_id)) |
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239 | 246 | |
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240 | 247 | def publish(self, data, id): |
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241 | 248 | ''' |
|
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242 | 249 | This function publish an object, to a specific topic. |
|
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250 | The fix method only affect inputId None which is Read Unit | |
|
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251 | Use value between 64 80, you should notice a little retard in processing | |
|
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243 | 252 | ''' |
|
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253 | if self.inputId is None: | |
|
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254 | self.i+=1 | |
|
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255 | if self.fix_publish(self.i,80) == True:# value n | |
|
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256 | time.sleep(0.01) | |
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257 | ||
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244 | 258 | self.sender.send_multipart([str(id).encode(), pickle.dumps(data)]) |
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245 | 259 | |
|
|
246 | 260 | def runReader(self): |
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247 | 261 | ''' |
|
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248 | 262 | Run fuction for read units |
|
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249 | 263 | ''' |
|
|
250 | 264 | while True: |
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251 | 265 | |
|
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252 | 266 | BaseClass.run(self, **self.kwargs) |
|
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253 | 267 | |
|
|
254 | 268 | for op, optype, opId, kwargs in self.operations: |
|
|
255 | 269 | if optype == 'self' and not self.dataOut.flagNoData: |
|
|
256 | 270 | op(**kwargs) |
|
|
257 | 271 | elif optype == 'other' and not self.dataOut.flagNoData: |
|
|
258 | 272 | self.dataOut = op.run(self.dataOut, **self.kwargs) |
|
|
259 | 273 | elif optype == 'external': |
|
|
260 | 274 | self.publish(self.dataOut, opId) |
|
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261 | 275 | |
|
|
262 | 276 | if self.dataOut.flagNoData and not self.dataOut.error: |
|
|
263 | 277 | continue |
|
|
264 | 278 | |
|
|
265 | 279 | self.publish(self.dataOut, self.id) |
|
|
266 | 280 | |
|
|
267 | 281 | if self.dataOut.error: |
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|
268 | 282 | log.error(self.dataOut.error, self.name) |
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269 | 283 | # self.sender.send_multipart([str(self.project_id).encode(), 'end'.encode()]) |
|
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270 | 284 | break |
|
|
271 | 285 | |
|
|
272 | 286 | time.sleep(1) |
|
|
273 | 287 | |
|
|
274 | 288 | def runProc(self): |
|
|
275 | 289 | ''' |
|
|
276 | 290 | Run function for proccessing units |
|
|
277 | 291 | ''' |
|
|
278 | 292 | |
|
|
279 | 293 | while True: |
|
|
280 | 294 | self.dataIn = self.listen() |
|
|
281 | 295 | |
|
|
282 | 296 | if self.dataIn.flagNoData and self.dataIn.error is None: |
|
|
283 | 297 | continue |
|
|
284 | 298 | |
|
|
285 | 299 | BaseClass.run(self, **self.kwargs) |
|
|
286 | 300 | |
|
|
287 | 301 | if self.dataIn.error: |
|
|
288 | 302 | self.dataOut.error = self.dataIn.error |
|
|
289 | 303 | self.dataOut.flagNoData = True |
|
|
290 | 304 | |
|
|
291 | 305 | for op, optype, opId, kwargs in self.operations: |
|
|
292 | 306 | if optype == 'self' and not self.dataOut.flagNoData: |
|
|
293 | 307 | op(**kwargs) |
|
|
294 | 308 | elif optype == 'other' and not self.dataOut.flagNoData: |
|
|
295 | 309 | self.dataOut = op.run(self.dataOut, **kwargs) |
|
|
296 | 310 | elif optype == 'external' and not self.dataOut.flagNoData: |
|
|
297 | 311 | self.publish(self.dataOut, opId) |
|
|
298 | 312 | |
|
|
299 | 313 | if not self.dataOut.flagNoData or self.dataOut.error: |
|
|
300 | 314 | self.publish(self.dataOut, self.id) |
|
|
301 | 315 | for op, optype, opId, kwargs in self.operations: |
|
|
302 | 316 | if optype == 'self' and self.dataOut.error: |
|
|
303 | 317 | op(**kwargs) |
|
|
304 | 318 | elif optype == 'other' and self.dataOut.error: |
|
|
305 | 319 | self.dataOut = op.run(self.dataOut, **kwargs) |
|
|
306 | 320 | elif optype == 'external' and self.dataOut.error: |
|
|
307 | 321 | self.publish(self.dataOut, opId) |
|
|
308 | 322 | |
|
|
309 | 323 | if self.dataIn.error: |
|
|
310 | 324 | break |
|
|
311 | 325 | |
|
|
312 | 326 | time.sleep(1) |
|
|
313 | 327 | |
|
|
314 | 328 | def runOp(self): |
|
|
315 | 329 | ''' |
|
|
316 | 330 | Run function for external operations (this operations just receive data |
|
|
317 | 331 | ex: plots, writers, publishers) |
|
|
318 | 332 | ''' |
|
|
319 | 333 | |
|
|
320 | 334 | while True: |
|
|
321 | 335 | |
|
|
322 | 336 | dataOut = self.listen() |
|
|
323 | 337 | |
|
|
324 | 338 | BaseClass.run(self, dataOut, **self.kwargs) |
|
|
325 | 339 | |
|
|
326 | 340 | if dataOut.error: |
|
|
327 | 341 | break |
|
|
328 | 342 | |
|
|
329 | 343 | time.sleep(1) |
|
|
330 | 344 | |
|
|
331 | 345 | def run(self): |
|
|
332 | 346 | if self.typeProc is "ProcUnit": |
|
|
333 | 347 | |
|
|
334 | 348 | if self.inputId is not None: |
|
|
335 | 349 | |
|
|
336 | 350 | self.subscribe() |
|
|
337 | 351 | |
|
|
338 | 352 | self.set_publisher() |
|
|
339 | 353 | |
|
|
340 | 354 | if 'Reader' not in BaseClass.__name__: |
|
|
341 | 355 | self.runProc() |
|
|
342 | 356 | else: |
|
|
343 | 357 | self.runReader() |
|
|
344 | 358 | |
|
|
345 | 359 | elif self.typeProc is "Operation": |
|
|
346 | 360 | |
|
|
347 | 361 | self.subscribe() |
|
|
348 | 362 | self.runOp() |
|
|
349 | 363 | |
|
|
350 | 364 | else: |
|
|
351 | 365 | raise ValueError("Unknown type") |
|
|
352 | 366 | |
|
|
353 | 367 | self.close() |
|
|
354 | 368 | |
|
|
355 | 369 | def event_monitor(self, monitor): |
|
|
356 | 370 | |
|
|
357 | 371 | events = {} |
|
|
358 | 372 | |
|
|
359 | 373 | for name in dir(zmq): |
|
|
360 | 374 | if name.startswith('EVENT_'): |
|
|
361 | 375 | value = getattr(zmq, name) |
|
|
362 | 376 | events[value] = name |
|
|
363 | 377 | |
|
|
364 | 378 | while monitor.poll(): |
|
|
365 | 379 | evt = recv_monitor_message(monitor) |
|
|
366 | 380 | if evt['event'] == 32: |
|
|
367 | 381 | self.connections += 1 |
|
|
368 | 382 | if evt['event'] == 512: |
|
|
369 | 383 | pass |
|
|
370 | 384 | |
|
|
371 | 385 | evt.update({'description': events[evt['event']]}) |
|
|
372 | 386 | |
|
|
373 | 387 | if evt['event'] == zmq.EVENT_MONITOR_STOPPED: |
|
|
374 | 388 | break |
|
|
375 | 389 | monitor.close() |
|
|
376 | 390 | print('event monitor thread done!') |
|
|
377 | 391 | |
|
|
378 | 392 | def close(self): |
|
|
379 | 393 | |
|
|
380 | 394 | BaseClass.close(self) |
|
|
381 | 395 | |
|
|
382 | 396 | if self.sender: |
|
|
383 | 397 | self.sender.close() |
|
|
384 | 398 | |
|
|
385 | 399 | if self.receiver: |
|
|
386 | 400 | self.receiver.close() |
|
|
387 | 401 | |
|
|
388 | 402 | log.success('Done...(Time:{:4.2f} secs)'.format(time.time()-self.start_time), self.name) |
|
|
389 | 403 | |
|
|
390 | 404 | return MPClass |
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