| @@ -1,1397 +1,1397 | |||
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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 | import schainpy.admin |
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13 | 13 | from schainpy.utils import log |
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14 | 14 | from .jroheaderIO import SystemHeader, RadarControllerHeader |
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15 | 15 | from schainpy.model.data import _noise |
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16 | 16 | |
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17 | 17 | |
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18 | 18 | def getNumpyDtype(dataTypeCode): |
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19 | 19 | |
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20 | 20 | if dataTypeCode == 0: |
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21 | 21 | numpyDtype = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
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22 | 22 | elif dataTypeCode == 1: |
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23 | 23 | numpyDtype = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
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24 | 24 | elif dataTypeCode == 2: |
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25 | 25 | numpyDtype = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
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26 | 26 | elif dataTypeCode == 3: |
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27 | 27 | numpyDtype = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
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28 | 28 | elif dataTypeCode == 4: |
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29 | 29 | numpyDtype = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
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30 | 30 | elif dataTypeCode == 5: |
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31 | 31 | numpyDtype = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
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32 | 32 | else: |
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33 | 33 | raise ValueError('dataTypeCode was not defined') |
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34 | 34 | |
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35 | 35 | return numpyDtype |
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36 | 36 | |
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37 | 37 | |
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38 | 38 | def getDataTypeCode(numpyDtype): |
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39 | 39 | |
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40 | 40 | if numpyDtype == numpy.dtype([('real', '<i1'), ('imag', '<i1')]): |
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41 | 41 | datatype = 0 |
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42 | 42 | elif numpyDtype == numpy.dtype([('real', '<i2'), ('imag', '<i2')]): |
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43 | 43 | datatype = 1 |
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44 | 44 | elif numpyDtype == numpy.dtype([('real', '<i4'), ('imag', '<i4')]): |
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45 | 45 | datatype = 2 |
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46 | 46 | elif numpyDtype == numpy.dtype([('real', '<i8'), ('imag', '<i8')]): |
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47 | 47 | datatype = 3 |
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48 | 48 | elif numpyDtype == numpy.dtype([('real', '<f4'), ('imag', '<f4')]): |
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49 | 49 | datatype = 4 |
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50 | 50 | elif numpyDtype == numpy.dtype([('real', '<f8'), ('imag', '<f8')]): |
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51 | 51 | datatype = 5 |
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52 | 52 | else: |
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53 | 53 | datatype = None |
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54 | 54 | |
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55 | 55 | return datatype |
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56 | 56 | |
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57 | 57 | |
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58 | 58 | def hildebrand_sekhon(data, navg): |
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59 | 59 | """ |
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60 | 60 | This method is for the objective determination of the noise level in Doppler spectra. This |
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61 | 61 | implementation technique is based on the fact that the standard deviation of the spectral |
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62 | 62 | densities is equal to the mean spectral density for white Gaussian noise |
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63 | 63 | |
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64 | 64 | Inputs: |
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65 | 65 | Data : heights |
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66 | 66 | navg : numbers of averages |
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67 | 67 | |
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68 | 68 | Return: |
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69 | 69 | mean : noise's level |
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70 | 70 | """ |
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71 | 71 | |
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72 | 72 | sortdata = numpy.sort(data, axis=None) |
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73 | 73 | ''' |
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74 | 74 | lenOfData = len(sortdata) |
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75 | 75 | nums_min = lenOfData*0.2 |
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76 | 76 | |
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77 | 77 | if nums_min <= 5: |
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78 | 78 | |
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79 | 79 | nums_min = 5 |
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80 | 80 | |
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81 | 81 | sump = 0. |
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82 | 82 | sumq = 0. |
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83 | 83 | |
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84 | 84 | j = 0 |
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85 | 85 | cont = 1 |
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86 | 86 | |
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87 | 87 | while((cont == 1)and(j < lenOfData)): |
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88 | 88 | |
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89 | 89 | sump += sortdata[j] |
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90 | 90 | sumq += sortdata[j]**2 |
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91 | 91 | |
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92 | 92 | if j > nums_min: |
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93 | 93 | rtest = float(j)/(j-1) + 1.0/navg |
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94 | 94 | if ((sumq*j) > (rtest*sump**2)): |
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95 | 95 | j = j - 1 |
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96 | 96 | sump = sump - sortdata[j] |
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97 | 97 | sumq = sumq - sortdata[j]**2 |
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98 | 98 | cont = 0 |
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99 | 99 | |
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100 | 100 | j += 1 |
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101 | 101 | |
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102 | 102 | lnoise = sump / j |
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103 | 103 | ''' |
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104 | 104 | return _noise.hildebrand_sekhon(sortdata, navg) |
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105 | 105 | |
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106 | 106 | |
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107 | 107 | class Beam: |
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108 | 108 | |
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109 | 109 | def __init__(self): |
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110 | 110 | self.codeList = [] |
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111 | 111 | self.azimuthList = [] |
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112 | 112 | self.zenithList = [] |
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113 | 113 | |
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114 | 114 | |
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115 | 115 | class GenericData(object): |
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116 | 116 | |
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117 | 117 | flagNoData = True |
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118 | 118 | |
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119 | 119 | def copy(self, inputObj=None): |
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120 | 120 | |
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121 | 121 | if inputObj == None: |
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122 | 122 | return copy.deepcopy(self) |
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123 | 123 | |
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124 | 124 | for key in list(inputObj.__dict__.keys()): |
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125 | 125 | |
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126 | 126 | attribute = inputObj.__dict__[key] |
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127 | 127 | |
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128 | 128 | # If this attribute is a tuple or list |
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129 | 129 | if type(inputObj.__dict__[key]) in (tuple, list): |
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130 | 130 | self.__dict__[key] = attribute[:] |
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131 | 131 | continue |
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132 | 132 | |
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133 | 133 | # If this attribute is another object or instance |
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134 | 134 | if hasattr(attribute, '__dict__'): |
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135 | 135 | self.__dict__[key] = attribute.copy() |
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136 | 136 | continue |
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137 | 137 | |
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138 | 138 | self.__dict__[key] = inputObj.__dict__[key] |
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139 | 139 | |
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140 | 140 | def deepcopy(self): |
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141 | 141 | |
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142 | 142 | return copy.deepcopy(self) |
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143 | 143 | |
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144 | 144 | def isEmpty(self): |
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145 | 145 | |
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146 | 146 | return self.flagNoData |
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147 | 147 | |
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148 | 148 | def isReady(self): |
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149 | 149 | |
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150 | 150 | return not self.flagNoData |
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151 | 151 | |
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152 | 152 | |
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153 | 153 | class JROData(GenericData): |
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154 | 154 | |
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155 | 155 | # m_BasicHeader = BasicHeader() |
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156 | 156 | # m_ProcessingHeader = ProcessingHeader() |
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157 | 157 | |
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158 | 158 | systemHeaderObj = SystemHeader() |
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159 | 159 | radarControllerHeaderObj = RadarControllerHeader() |
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160 | 160 | # data = None |
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161 | 161 | type = None |
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162 | 162 | datatype = None # dtype but in string |
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163 | 163 | # dtype = None |
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164 | 164 | # nChannels = None |
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165 | 165 | # nHeights = None |
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166 | 166 | nProfiles = None |
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167 | 167 | heightList = None |
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168 | 168 | channelList = None |
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169 | 169 | flagDiscontinuousBlock = False |
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170 | 170 | useLocalTime = False |
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171 | 171 | utctime = None |
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172 | 172 | timeZone = None |
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173 | 173 | dstFlag = None |
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174 | 174 | errorCount = None |
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175 | 175 | blocksize = None |
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176 | 176 | # nCode = None |
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177 | 177 | # nBaud = None |
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178 | 178 | # code = None |
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179 | 179 | flagDecodeData = False # asumo q la data no esta decodificada |
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180 | 180 | flagDeflipData = False # asumo q la data no esta sin flip |
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181 | 181 | flagShiftFFT = False |
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182 | 182 | # ippSeconds = None |
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183 | 183 | # timeInterval = None |
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184 | 184 | nCohInt = None |
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185 | 185 | # noise = None |
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186 | 186 | windowOfFilter = 1 |
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187 | 187 | # Speed of ligth |
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188 | 188 | C = 3e8 |
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189 | 189 | frequency = 49.92e6 |
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190 | 190 | realtime = False |
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191 | 191 | beacon_heiIndexList = None |
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192 | 192 | last_block = None |
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193 | 193 | blocknow = None |
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194 | 194 | azimuth = None |
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195 | 195 | zenith = None |
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196 | 196 | beam = Beam() |
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197 | 197 | profileIndex = None |
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198 | 198 | error = None |
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199 | 199 | data = None |
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200 | 200 | nmodes = None |
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201 | 201 | |
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202 | 202 | def __str__(self): |
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203 | 203 | |
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204 | 204 | return '{} - {}'.format(self.type, self.getDatatime()) |
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205 | 205 | |
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206 | 206 | def getNoise(self): |
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207 | 207 | |
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208 | 208 | raise NotImplementedError |
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209 | 209 | |
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210 | 210 | def getNChannels(self): |
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211 | 211 | |
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212 | 212 | return len(self.channelList) |
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213 | 213 | |
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214 | 214 | def getChannelIndexList(self): |
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215 | 215 | |
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216 | 216 | return list(range(self.nChannels)) |
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217 | 217 | |
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218 | 218 | def getNHeights(self): |
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219 | 219 | |
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220 | 220 | return len(self.heightList) |
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221 | 221 | |
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222 | 222 | def getHeiRange(self, extrapoints=0): |
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223 | 223 | |
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224 | 224 | heis = self.heightList |
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225 | 225 | # deltah = self.heightList[1] - self.heightList[0] |
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226 | 226 | # |
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227 | 227 | # heis.append(self.heightList[-1]) |
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228 | 228 | |
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229 | 229 | return heis |
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230 | 230 | |
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231 | 231 | def getDeltaH(self): |
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232 | 232 | |
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233 | 233 | delta = self.heightList[1] - self.heightList[0] |
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234 | 234 | |
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235 | 235 | return delta |
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236 | 236 | |
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237 | 237 | def getltctime(self): |
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238 | 238 | |
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239 | 239 | if self.useLocalTime: |
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240 | 240 | return self.utctime - self.timeZone * 60 |
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241 | 241 | |
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242 | 242 | return self.utctime |
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243 | 243 | |
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244 | 244 | def getDatatime(self): |
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245 | 245 | |
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246 | 246 | datatimeValue = datetime.datetime.utcfromtimestamp(self.ltctime) |
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247 | 247 | return datatimeValue |
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248 | 248 | |
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249 | 249 | def getTimeRange(self): |
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250 | 250 | |
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251 | 251 | datatime = [] |
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252 | 252 | |
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253 | 253 | datatime.append(self.ltctime) |
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254 | 254 | datatime.append(self.ltctime + self.timeInterval + 1) |
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255 | 255 | |
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256 | 256 | datatime = numpy.array(datatime) |
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257 | 257 | |
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258 | 258 | return datatime |
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259 | 259 | |
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260 | 260 | def getFmaxTimeResponse(self): |
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261 | 261 | |
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262 | 262 | period = (10**-6) * self.getDeltaH() / (0.15) |
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263 | 263 | |
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264 | 264 | PRF = 1. / (period * self.nCohInt) |
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265 | 265 | |
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266 | 266 | fmax = PRF |
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267 | 267 | |
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268 | 268 | return fmax |
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269 | 269 | |
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270 | 270 | def getFmax(self): |
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271 | 271 | PRF = 1. / (self.ippSeconds * self.nCohInt) |
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272 | 272 | |
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273 | 273 | fmax = PRF |
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274 | 274 | return fmax |
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275 | 275 | |
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276 | 276 | def getVmax(self): |
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277 | 277 | |
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278 | 278 | _lambda = self.C / self.frequency |
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279 | 279 | |
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280 | 280 | vmax = self.getFmax() * _lambda / 2 |
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281 | 281 | |
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282 | 282 | return vmax |
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283 | 283 | |
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284 | 284 | def get_ippSeconds(self): |
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285 | 285 | ''' |
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286 | 286 | ''' |
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287 | 287 | return self.radarControllerHeaderObj.ippSeconds |
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288 | 288 | |
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289 | 289 | def set_ippSeconds(self, ippSeconds): |
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290 | 290 | ''' |
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291 | 291 | ''' |
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292 | 292 | |
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293 | 293 | self.radarControllerHeaderObj.ippSeconds = ippSeconds |
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294 | 294 | |
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295 | 295 | return |
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296 | 296 | |
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297 | 297 | def get_dtype(self): |
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298 | 298 | ''' |
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299 | 299 | ''' |
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300 | 300 | return getNumpyDtype(self.datatype) |
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301 | 301 | |
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302 | 302 | def set_dtype(self, numpyDtype): |
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303 | 303 | ''' |
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304 | 304 | ''' |
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305 | 305 | |
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306 | 306 | self.datatype = getDataTypeCode(numpyDtype) |
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307 | 307 | |
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308 | 308 | def get_code(self): |
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309 | 309 | ''' |
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310 | 310 | ''' |
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311 | 311 | return self.radarControllerHeaderObj.code |
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312 | 312 | |
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313 | 313 | def set_code(self, code): |
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314 | 314 | ''' |
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315 | 315 | ''' |
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316 | 316 | self.radarControllerHeaderObj.code = code |
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317 | 317 | |
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318 | 318 | return |
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319 | 319 | |
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320 | 320 | def get_ncode(self): |
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321 | 321 | ''' |
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322 | 322 | ''' |
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323 | 323 | return self.radarControllerHeaderObj.nCode |
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324 | 324 | |
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325 | 325 | def set_ncode(self, nCode): |
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326 | 326 | ''' |
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327 | 327 | ''' |
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328 | 328 | self.radarControllerHeaderObj.nCode = nCode |
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329 | 329 | |
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330 | 330 | return |
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331 | 331 | |
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332 | 332 | def get_nbaud(self): |
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333 | 333 | ''' |
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334 | 334 | ''' |
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335 | 335 | return self.radarControllerHeaderObj.nBaud |
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336 | 336 | |
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337 | 337 | def set_nbaud(self, nBaud): |
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338 | 338 | ''' |
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339 | 339 | ''' |
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340 | 340 | self.radarControllerHeaderObj.nBaud = nBaud |
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341 | 341 | |
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342 | 342 | return |
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343 | 343 | |
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344 | 344 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
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345 | 345 | channelIndexList = property( |
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346 | 346 | getChannelIndexList, "I'm the 'channelIndexList' property.") |
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347 | 347 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
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348 | 348 | #noise = property(getNoise, "I'm the 'nHeights' property.") |
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349 | 349 | datatime = property(getDatatime, "I'm the 'datatime' property") |
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350 | 350 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
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351 | 351 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
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352 | 352 | dtype = property(get_dtype, set_dtype) |
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353 | 353 | # timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
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354 | 354 | code = property(get_code, set_code) |
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355 | 355 | nCode = property(get_ncode, set_ncode) |
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356 | 356 | nBaud = property(get_nbaud, set_nbaud) |
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357 | 357 | |
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358 | 358 | |
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359 | 359 | class Voltage(JROData): |
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360 | 360 | |
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361 | 361 | # data es un numpy array de 2 dmensiones (canales, alturas) |
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362 | 362 | data = None |
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363 | 363 | data_intensity = None |
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364 | 364 | data_velocity = None |
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365 | 365 | data_specwidth = None |
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366 | 366 | def __init__(self): |
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367 | 367 | ''' |
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368 | 368 | Constructor |
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369 | 369 | ''' |
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370 | 370 | |
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371 | 371 | self.useLocalTime = True |
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372 | 372 | self.radarControllerHeaderObj = RadarControllerHeader() |
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373 | 373 | self.systemHeaderObj = SystemHeader() |
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374 | 374 | self.type = "Voltage" |
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375 | 375 | self.data = None |
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376 | 376 | # self.dtype = None |
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377 | 377 | # self.nChannels = 0 |
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378 | 378 | # self.nHeights = 0 |
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379 | 379 | self.nProfiles = None |
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380 | 380 | self.heightList = None |
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381 | 381 | self.channelList = None |
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382 | 382 | # self.channelIndexList = None |
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383 | 383 | self.flagNoData = True |
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384 | 384 | self.flagDiscontinuousBlock = False |
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385 | 385 | self.utctime = None |
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386 | 386 | self.timeZone = None |
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387 | 387 | self.dstFlag = None |
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388 | 388 | self.errorCount = None |
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389 | 389 | self.nCohInt = None |
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390 | 390 | self.blocksize = None |
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391 | 391 | self.flagCohInt = False |
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392 | 392 | self.flagDecodeData = False # asumo q la data no esta decodificada |
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393 | 393 | self.flagDeflipData = False # asumo q la data no esta sin flip |
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394 | 394 | self.flagShiftFFT = False |
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395 | 395 | self.flagDataAsBlock = False # Asumo que la data es leida perfil a perfil |
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396 | 396 | self.profileIndex = 0 |
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397 | 397 | |
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398 | 398 | def getNoisebyHildebrand(self, channel=None): |
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399 | 399 | """ |
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400 | 400 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
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401 | 401 | |
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402 | 402 | Return: |
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403 | 403 | noiselevel |
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404 | 404 | """ |
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405 | 405 | |
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406 | 406 | if channel != None: |
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407 | 407 | data = self.data[channel] |
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408 | 408 | nChannels = 1 |
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409 | 409 | else: |
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410 | 410 | data = self.data |
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411 | 411 | nChannels = self.nChannels |
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412 | 412 | |
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413 | 413 | noise = numpy.zeros(nChannels) |
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414 | 414 | power = data * numpy.conjugate(data) |
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415 | 415 | |
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416 | 416 | for thisChannel in range(nChannels): |
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417 | 417 | if nChannels == 1: |
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418 | 418 | daux = power[:].real |
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419 | 419 | else: |
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420 | 420 | daux = power[thisChannel, :].real |
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421 | 421 | noise[thisChannel] = hildebrand_sekhon(daux, self.nCohInt) |
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422 | 422 | |
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423 | 423 | return noise |
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424 | 424 | |
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425 | 425 | def getNoise(self, type=1, channel=None): |
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426 | 426 | |
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427 | 427 | if type == 1: |
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428 | 428 | noise = self.getNoisebyHildebrand(channel) |
|
|
429 | 429 | |
|
|
430 | 430 | return noise |
|
|
431 | 431 | |
|
|
432 | 432 | def getPower(self, channel=None): |
|
|
433 | 433 | |
|
|
434 | 434 | if channel != None: |
|
|
435 | 435 | data = self.data[channel] |
|
|
436 | 436 | else: |
|
|
437 | 437 | data = self.data |
|
|
438 | 438 | |
|
|
439 | 439 | power = data * numpy.conjugate(data) |
|
|
440 | 440 | powerdB = 10 * numpy.log10(power.real) |
|
|
441 | 441 | powerdB = numpy.squeeze(powerdB) |
|
|
442 | 442 | |
|
|
443 | 443 | return powerdB |
|
|
444 | 444 | |
|
|
445 | 445 | def getTimeInterval(self): |
|
|
446 | 446 | |
|
|
447 | 447 | timeInterval = self.ippSeconds * self.nCohInt |
|
|
448 | 448 | |
|
|
449 | 449 | return timeInterval |
|
|
450 | 450 | |
|
|
451 | 451 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
452 | 452 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
453 | 453 | |
|
|
454 | 454 | |
|
|
455 | 455 | class Spectra(JROData): |
|
|
456 | 456 | |
|
|
457 | 457 | # data spc es un numpy array de 2 dmensiones (canales, perfiles, alturas) |
|
|
458 | 458 | data_spc = None |
|
|
459 | 459 | # data cspc es un numpy array de 2 dmensiones (canales, pares, alturas) |
|
|
460 | 460 | data_cspc = None |
|
|
461 | 461 | # data dc es un numpy array de 2 dmensiones (canales, alturas) |
|
|
462 | 462 | data_dc = None |
|
|
463 | 463 | # data power |
|
|
464 | 464 | data_pwr = None |
|
|
465 | 465 | nFFTPoints = None |
|
|
466 | 466 | # nPairs = None |
|
|
467 | 467 | pairsList = None |
|
|
468 | 468 | nIncohInt = None |
|
|
469 | 469 | wavelength = None # Necesario para cacular el rango de velocidad desde la frecuencia |
|
|
470 | 470 | nCohInt = None # se requiere para determinar el valor de timeInterval |
|
|
471 | 471 | ippFactor = None |
|
|
472 | 472 | profileIndex = 0 |
|
|
473 | 473 | plotting = "spectra" |
|
|
474 | 474 | |
|
|
475 | 475 | def __init__(self): |
|
|
476 | 476 | ''' |
|
|
477 | 477 | Constructor |
|
|
478 | 478 | ''' |
|
|
479 | 479 | |
|
|
480 | 480 | self.useLocalTime = True |
|
|
481 | 481 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
482 | 482 | self.systemHeaderObj = SystemHeader() |
|
|
483 | 483 | self.type = "Spectra" |
|
|
484 | 484 | # self.data = None |
|
|
485 | 485 | # self.dtype = None |
|
|
486 | 486 | # self.nChannels = 0 |
|
|
487 | 487 | # self.nHeights = 0 |
|
|
488 | 488 | self.nProfiles = None |
|
|
489 | 489 | self.heightList = None |
|
|
490 | 490 | self.channelList = None |
|
|
491 | 491 | # self.channelIndexList = None |
|
|
492 | 492 | self.pairsList = None |
|
|
493 | 493 | self.flagNoData = True |
|
|
494 | 494 | self.flagDiscontinuousBlock = False |
|
|
495 | 495 | self.utctime = None |
|
|
496 | 496 | self.nCohInt = None |
|
|
497 | 497 | self.nIncohInt = None |
|
|
498 | 498 | self.blocksize = None |
|
|
499 | 499 | self.nFFTPoints = None |
|
|
500 | 500 | self.wavelength = None |
|
|
501 | 501 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
502 | 502 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
503 | 503 | self.flagShiftFFT = False |
|
|
504 | 504 | self.ippFactor = 1 |
|
|
505 | 505 | #self.noise = None |
|
|
506 | 506 | self.beacon_heiIndexList = [] |
|
|
507 | 507 | self.noise_estimation = None |
|
|
508 | 508 | |
|
|
509 | 509 | def getNoisebyHildebrand(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
510 | 510 | """ |
|
|
511 | 511 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
512 | 512 | |
|
|
513 | 513 | Return: |
|
|
514 | 514 | noiselevel |
|
|
515 | 515 | """ |
|
|
516 | 516 | |
|
|
517 | 517 | noise = numpy.zeros(self.nChannels) |
|
|
518 | 518 | |
|
|
519 | 519 | for channel in range(self.nChannels): |
|
|
520 | 520 | daux = self.data_spc[channel, |
|
|
521 | 521 | xmin_index:xmax_index, ymin_index:ymax_index] |
|
|
522 | 522 | noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) |
|
|
523 | 523 | |
|
|
524 | 524 | return noise |
|
|
525 | 525 | |
|
|
526 | 526 | def getNoise(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
527 | 527 | |
|
|
528 | 528 | if self.noise_estimation is not None: |
|
|
529 | 529 | # this was estimated by getNoise Operation defined in jroproc_spectra.py |
|
|
530 | 530 | return self.noise_estimation |
|
|
531 | 531 | else: |
|
|
532 | 532 | noise = self.getNoisebyHildebrand( |
|
|
533 | 533 | xmin_index, xmax_index, ymin_index, ymax_index) |
|
|
534 | 534 | return noise |
|
|
535 | 535 | |
|
|
536 | 536 | def getFreqRangeTimeResponse(self, extrapoints=0): |
|
|
537 | 537 | |
|
|
538 | 538 | deltafreq = self.getFmaxTimeResponse() / (self.nFFTPoints * self.ippFactor) |
|
|
539 | 539 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) - self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
540 | 540 | |
|
|
541 | 541 | return freqrange |
|
|
542 | 542 | |
|
|
543 | 543 | def getAcfRange(self, extrapoints=0): |
|
|
544 | 544 | |
|
|
545 | 545 | deltafreq = 10. / (self.getFmax() / (self.nFFTPoints * self.ippFactor)) |
|
|
546 | 546 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) -self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
547 | 547 | |
|
|
548 | 548 | return freqrange |
|
|
549 | 549 | |
|
|
550 | 550 | def getFreqRange(self, extrapoints=0): |
|
|
551 | 551 | |
|
|
552 | 552 | deltafreq = self.getFmax() / (self.nFFTPoints * self.ippFactor) |
|
|
553 | 553 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) -self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
554 | 554 | |
|
|
555 | 555 | return freqrange |
|
|
556 | 556 | |
|
|
557 | 557 | def getVelRange(self, extrapoints=0): |
|
|
558 | 558 | |
|
|
559 | 559 | deltav = self.getVmax() / (self.nFFTPoints * self.ippFactor) |
|
|
560 | 560 | velrange = deltav * (numpy.arange(self.nFFTPoints + extrapoints) - self.nFFTPoints / 2.) |
|
|
561 | 561 | |
|
|
562 | 562 | if self.nmodes: |
|
|
563 | 563 | return velrange/self.nmodes |
|
|
564 | 564 | else: |
|
|
565 | 565 | return velrange |
|
|
566 | 566 | |
|
|
567 | 567 | def getNPairs(self): |
|
|
568 | 568 | |
|
|
569 | 569 | return len(self.pairsList) |
|
|
570 | 570 | |
|
|
571 | 571 | def getPairsIndexList(self): |
|
|
572 | 572 | |
|
|
573 | 573 | return list(range(self.nPairs)) |
|
|
574 | 574 | |
|
|
575 | 575 | def getNormFactor(self): |
|
|
576 | 576 | |
|
|
577 | 577 | pwcode = 1 |
|
|
578 | 578 | |
|
|
579 | 579 | if self.flagDecodeData: |
|
|
580 | 580 | pwcode = numpy.sum(self.code[0]**2) |
|
|
581 | 581 | #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
|
582 | 582 | normFactor = self.nProfiles * self.nIncohInt * self.nCohInt * pwcode * self.windowOfFilter |
|
|
583 | 583 | |
|
|
584 | 584 | return normFactor |
|
|
585 | 585 | |
|
|
586 | 586 | def getFlagCspc(self): |
|
|
587 | 587 | |
|
|
588 | 588 | if self.data_cspc is None: |
|
|
589 | 589 | return True |
|
|
590 | 590 | |
|
|
591 | 591 | return False |
|
|
592 | 592 | |
|
|
593 | 593 | def getFlagDc(self): |
|
|
594 | 594 | |
|
|
595 | 595 | if self.data_dc is None: |
|
|
596 | 596 | return True |
|
|
597 | 597 | |
|
|
598 | 598 | return False |
|
|
599 | 599 | |
|
|
600 | 600 | def getTimeInterval(self): |
|
|
601 | 601 | |
|
|
602 | 602 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt * self.nProfiles * self.ippFactor |
|
|
603 | 603 | if self.nmodes: |
|
|
604 | 604 | return self.nmodes*timeInterval |
|
|
605 | 605 | else: |
|
|
606 | 606 | return timeInterval |
|
|
607 | 607 | |
|
|
608 | 608 | def getPower(self): |
|
|
609 | 609 | |
|
|
610 | 610 | factor = self.normFactor |
|
|
611 | 611 | z = self.data_spc / factor |
|
|
612 | 612 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
613 | 613 | avg = numpy.average(z, axis=1) |
|
|
614 | 614 | |
|
|
615 | 615 | return 10 * numpy.log10(avg) |
|
|
616 | 616 | |
|
|
617 | 617 | def getCoherence(self, pairsList=None, phase=False): |
|
|
618 | 618 | |
|
|
619 | 619 | z = [] |
|
|
620 | 620 | if pairsList is None: |
|
|
621 | 621 | pairsIndexList = self.pairsIndexList |
|
|
622 | 622 | else: |
|
|
623 | 623 | pairsIndexList = [] |
|
|
624 | 624 | for pair in pairsList: |
|
|
625 | 625 | if pair not in self.pairsList: |
|
|
626 | 626 | raise ValueError("Pair %s is not in dataOut.pairsList" % ( |
|
|
627 | 627 | pair)) |
|
|
628 | 628 | pairsIndexList.append(self.pairsList.index(pair)) |
|
|
629 | 629 | for i in range(len(pairsIndexList)): |
|
|
630 | 630 | pair = self.pairsList[pairsIndexList[i]] |
|
|
631 | 631 | ccf = numpy.average(self.data_cspc[pairsIndexList[i], :, :], axis=0) |
|
|
632 | 632 | powa = numpy.average(self.data_spc[pair[0], :, :], axis=0) |
|
|
633 | 633 | powb = numpy.average(self.data_spc[pair[1], :, :], axis=0) |
|
|
634 | 634 | avgcoherenceComplex = ccf / numpy.sqrt(powa * powb) |
|
|
635 | 635 | if phase: |
|
|
636 | 636 | data = numpy.arctan2(avgcoherenceComplex.imag, |
|
|
637 | 637 | avgcoherenceComplex.real) * 180 / numpy.pi |
|
|
638 | 638 | else: |
|
|
639 | 639 | data = numpy.abs(avgcoherenceComplex) |
|
|
640 | 640 | |
|
|
641 | 641 | z.append(data) |
|
|
642 | 642 | |
|
|
643 | 643 | return numpy.array(z) |
|
|
644 | 644 | |
|
|
645 | 645 | def setValue(self, value): |
|
|
646 | 646 | |
|
|
647 | 647 | print("This property should not be initialized") |
|
|
648 | 648 | |
|
|
649 | 649 | return |
|
|
650 | 650 | |
|
|
651 | 651 | nPairs = property(getNPairs, setValue, "I'm the 'nPairs' property.") |
|
|
652 | 652 | pairsIndexList = property( |
|
|
653 | 653 | getPairsIndexList, setValue, "I'm the 'pairsIndexList' property.") |
|
|
654 | 654 | normFactor = property(getNormFactor, setValue, |
|
|
655 | 655 | "I'm the 'getNormFactor' property.") |
|
|
656 | 656 | flag_cspc = property(getFlagCspc, setValue) |
|
|
657 | 657 | flag_dc = property(getFlagDc, setValue) |
|
|
658 | 658 | noise = property(getNoise, setValue, "I'm the 'nHeights' property.") |
|
|
659 | 659 | timeInterval = property(getTimeInterval, setValue, |
|
|
660 | 660 | "I'm the 'timeInterval' property") |
|
|
661 | 661 | |
|
|
662 | 662 | |
|
|
663 | 663 | class SpectraHeis(Spectra): |
|
|
664 | 664 | |
|
|
665 | 665 | data_spc = None |
|
|
666 | 666 | data_cspc = None |
|
|
667 | 667 | data_dc = None |
|
|
668 | 668 | nFFTPoints = None |
|
|
669 | 669 | # nPairs = None |
|
|
670 | 670 | pairsList = None |
|
|
671 | 671 | nCohInt = None |
|
|
672 | 672 | nIncohInt = None |
|
|
673 | 673 | |
|
|
674 | 674 | def __init__(self): |
|
|
675 | 675 | |
|
|
676 | 676 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
677 | 677 | |
|
|
678 | 678 | self.systemHeaderObj = SystemHeader() |
|
|
679 | 679 | |
|
|
680 | 680 | self.type = "SpectraHeis" |
|
|
681 | 681 | |
|
|
682 | 682 | # self.dtype = None |
|
|
683 | 683 | |
|
|
684 | 684 | # self.nChannels = 0 |
|
|
685 | 685 | |
|
|
686 | 686 | # self.nHeights = 0 |
|
|
687 | 687 | |
|
|
688 | 688 | self.nProfiles = None |
|
|
689 | 689 | |
|
|
690 | 690 | self.heightList = None |
|
|
691 | 691 | |
|
|
692 | 692 | self.channelList = None |
|
|
693 | 693 | |
|
|
694 | 694 | # self.channelIndexList = None |
|
|
695 | 695 | |
|
|
696 | 696 | self.flagNoData = True |
|
|
697 | 697 | |
|
|
698 | 698 | self.flagDiscontinuousBlock = False |
|
|
699 | 699 | |
|
|
700 | 700 | # self.nPairs = 0 |
|
|
701 | 701 | |
|
|
702 | 702 | self.utctime = None |
|
|
703 | 703 | |
|
|
704 | 704 | self.blocksize = None |
|
|
705 | 705 | |
|
|
706 | 706 | self.profileIndex = 0 |
|
|
707 | 707 | |
|
|
708 | 708 | self.nCohInt = 1 |
|
|
709 | 709 | |
|
|
710 | 710 | self.nIncohInt = 1 |
|
|
711 | 711 | |
|
|
712 | 712 | def getNormFactor(self): |
|
|
713 | 713 | pwcode = 1 |
|
|
714 | 714 | if self.flagDecodeData: |
|
|
715 | 715 | pwcode = numpy.sum(self.code[0]**2) |
|
|
716 | 716 | |
|
|
717 | 717 | normFactor = self.nIncohInt * self.nCohInt * pwcode |
|
|
718 | 718 | |
|
|
719 | 719 | return normFactor |
|
|
720 | 720 | |
|
|
721 | 721 | def getTimeInterval(self): |
|
|
722 | 722 | |
|
|
723 | 723 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
724 | 724 | |
|
|
725 | 725 | return timeInterval |
|
|
726 | 726 | |
|
|
727 | 727 | normFactor = property(getNormFactor, "I'm the 'getNormFactor' property.") |
|
|
728 | 728 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
729 | 729 | |
|
|
730 | 730 | |
|
|
731 | 731 | class Fits(JROData): |
|
|
732 | 732 | |
|
|
733 | 733 | heightList = None |
|
|
734 | 734 | channelList = None |
|
|
735 | 735 | flagNoData = True |
|
|
736 | 736 | flagDiscontinuousBlock = False |
|
|
737 | 737 | useLocalTime = False |
|
|
738 | 738 | utctime = None |
|
|
739 | 739 | timeZone = None |
|
|
740 | 740 | # ippSeconds = None |
|
|
741 | 741 | # timeInterval = None |
|
|
742 | 742 | nCohInt = None |
|
|
743 | 743 | nIncohInt = None |
|
|
744 | 744 | noise = None |
|
|
745 | 745 | windowOfFilter = 1 |
|
|
746 | 746 | # Speed of ligth |
|
|
747 | 747 | C = 3e8 |
|
|
748 | 748 | frequency = 49.92e6 |
|
|
749 | 749 | realtime = False |
|
|
750 | 750 | |
|
|
751 | 751 | def __init__(self): |
|
|
752 | 752 | |
|
|
753 | 753 | self.type = "Fits" |
|
|
754 | 754 | |
|
|
755 | 755 | self.nProfiles = None |
|
|
756 | 756 | |
|
|
757 | 757 | self.heightList = None |
|
|
758 | 758 | |
|
|
759 | 759 | self.channelList = None |
|
|
760 | 760 | |
|
|
761 | 761 | # self.channelIndexList = None |
|
|
762 | 762 | |
|
|
763 | 763 | self.flagNoData = True |
|
|
764 | 764 | |
|
|
765 | 765 | self.utctime = None |
|
|
766 | 766 | |
|
|
767 | 767 | self.nCohInt = 1 |
|
|
768 | 768 | |
|
|
769 | 769 | self.nIncohInt = 1 |
|
|
770 | 770 | |
|
|
771 | 771 | self.useLocalTime = True |
|
|
772 | 772 | |
|
|
773 | 773 | self.profileIndex = 0 |
|
|
774 | 774 | |
|
|
775 | 775 | # self.utctime = None |
|
|
776 | 776 | # self.timeZone = None |
|
|
777 | 777 | # self.ltctime = None |
|
|
778 | 778 | # self.timeInterval = None |
|
|
779 | 779 | # self.header = None |
|
|
780 | 780 | # self.data_header = None |
|
|
781 | 781 | # self.data = None |
|
|
782 | 782 | # self.datatime = None |
|
|
783 | 783 | # self.flagNoData = False |
|
|
784 | 784 | # self.expName = '' |
|
|
785 | 785 | # self.nChannels = None |
|
|
786 | 786 | # self.nSamples = None |
|
|
787 | 787 | # self.dataBlocksPerFile = None |
|
|
788 | 788 | # self.comments = '' |
|
|
789 | 789 | # |
|
|
790 | 790 | |
|
|
791 | 791 | def getltctime(self): |
|
|
792 | 792 | |
|
|
793 | 793 | if self.useLocalTime: |
|
|
794 | 794 | return self.utctime - self.timeZone * 60 |
|
|
795 | 795 | |
|
|
796 | 796 | return self.utctime |
|
|
797 | 797 | |
|
|
798 | 798 | def getDatatime(self): |
|
|
799 | 799 | |
|
|
800 | 800 | datatime = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|
801 | 801 | return datatime |
|
|
802 | 802 | |
|
|
803 | 803 | def getTimeRange(self): |
|
|
804 | 804 | |
|
|
805 | 805 | datatime = [] |
|
|
806 | 806 | |
|
|
807 | 807 | datatime.append(self.ltctime) |
|
|
808 | 808 | datatime.append(self.ltctime + self.timeInterval) |
|
|
809 | 809 | |
|
|
810 | 810 | datatime = numpy.array(datatime) |
|
|
811 | 811 | |
|
|
812 | 812 | return datatime |
|
|
813 | 813 | |
|
|
814 | 814 | def getHeiRange(self): |
|
|
815 | 815 | |
|
|
816 | 816 | heis = self.heightList |
|
|
817 | 817 | |
|
|
818 | 818 | return heis |
|
|
819 | 819 | |
|
|
820 | 820 | def getNHeights(self): |
|
|
821 | 821 | |
|
|
822 | 822 | return len(self.heightList) |
|
|
823 | 823 | |
|
|
824 | 824 | def getNChannels(self): |
|
|
825 | 825 | |
|
|
826 | 826 | return len(self.channelList) |
|
|
827 | 827 | |
|
|
828 | 828 | def getChannelIndexList(self): |
|
|
829 | 829 | |
|
|
830 | 830 | return list(range(self.nChannels)) |
|
|
831 | 831 | |
|
|
832 | 832 | def getNoise(self, type=1): |
|
|
833 | 833 | |
|
|
834 | 834 | #noise = numpy.zeros(self.nChannels) |
|
|
835 | 835 | |
|
|
836 | 836 | if type == 1: |
|
|
837 | 837 | noise = self.getNoisebyHildebrand() |
|
|
838 | 838 | |
|
|
839 | 839 | if type == 2: |
|
|
840 | 840 | noise = self.getNoisebySort() |
|
|
841 | 841 | |
|
|
842 | 842 | if type == 3: |
|
|
843 | 843 | noise = self.getNoisebyWindow() |
|
|
844 | 844 | |
|
|
845 | 845 | return noise |
|
|
846 | 846 | |
|
|
847 | 847 | def getTimeInterval(self): |
|
|
848 | 848 | |
|
|
849 | 849 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
850 | 850 | |
|
|
851 | 851 | return timeInterval |
|
|
852 | 852 | |
|
|
853 | 853 | def get_ippSeconds(self): |
|
|
854 | 854 | ''' |
|
|
855 | 855 | ''' |
|
|
856 | 856 | return self.ipp_sec |
|
|
857 | 857 | |
|
|
858 | 858 | |
|
|
859 | 859 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|
860 | 860 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
|
861 | 861 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|
862 | 862 | channelIndexList = property( |
|
|
863 | 863 | getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|
864 | 864 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
865 | 865 | |
|
|
866 | 866 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|
867 | 867 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
868 | 868 | ippSeconds = property(get_ippSeconds, '') |
|
|
869 | 869 | |
|
|
870 | 870 | class Correlation(JROData): |
|
|
871 | 871 | |
|
|
872 | 872 | noise = None |
|
|
873 | 873 | SNR = None |
|
|
874 | 874 | #-------------------------------------------------- |
|
|
875 | 875 | mode = None |
|
|
876 | 876 | split = False |
|
|
877 | 877 | data_cf = None |
|
|
878 | 878 | lags = None |
|
|
879 | 879 | lagRange = None |
|
|
880 | 880 | pairsList = None |
|
|
881 | 881 | normFactor = None |
|
|
882 | 882 | #-------------------------------------------------- |
|
|
883 | 883 | # calculateVelocity = None |
|
|
884 | 884 | nLags = None |
|
|
885 | 885 | nPairs = None |
|
|
886 | 886 | nAvg = None |
|
|
887 | 887 | |
|
|
888 | 888 | def __init__(self): |
|
|
889 | 889 | ''' |
|
|
890 | 890 | Constructor |
|
|
891 | 891 | ''' |
|
|
892 | 892 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
893 | 893 | |
|
|
894 | 894 | self.systemHeaderObj = SystemHeader() |
|
|
895 | 895 | |
|
|
896 | 896 | self.type = "Correlation" |
|
|
897 | 897 | |
|
|
898 | 898 | self.data = None |
|
|
899 | 899 | |
|
|
900 | 900 | self.dtype = None |
|
|
901 | 901 | |
|
|
902 | 902 | self.nProfiles = None |
|
|
903 | 903 | |
|
|
904 | 904 | self.heightList = None |
|
|
905 | 905 | |
|
|
906 | 906 | self.channelList = None |
|
|
907 | 907 | |
|
|
908 | 908 | self.flagNoData = True |
|
|
909 | 909 | |
|
|
910 | 910 | self.flagDiscontinuousBlock = False |
|
|
911 | 911 | |
|
|
912 | 912 | self.utctime = None |
|
|
913 | 913 | |
|
|
914 | 914 | self.timeZone = None |
|
|
915 | 915 | |
|
|
916 | 916 | self.dstFlag = None |
|
|
917 | 917 | |
|
|
918 | 918 | self.errorCount = None |
|
|
919 | 919 | |
|
|
920 | 920 | self.blocksize = None |
|
|
921 | 921 | |
|
|
922 | 922 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
923 | 923 | |
|
|
924 | 924 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
925 | 925 | |
|
|
926 | 926 | self.pairsList = None |
|
|
927 | 927 | |
|
|
928 | 928 | self.nPoints = None |
|
|
929 | 929 | |
|
|
930 | 930 | def getPairsList(self): |
|
|
931 | 931 | |
|
|
932 | 932 | return self.pairsList |
|
|
933 | 933 | |
|
|
934 | 934 | def getNoise(self, mode=2): |
|
|
935 | 935 | |
|
|
936 | 936 | indR = numpy.where(self.lagR == 0)[0][0] |
|
|
937 | 937 | indT = numpy.where(self.lagT == 0)[0][0] |
|
|
938 | 938 | |
|
|
939 | 939 | jspectra0 = self.data_corr[:, :, indR, :] |
|
|
940 | 940 | jspectra = copy.copy(jspectra0) |
|
|
941 | 941 | |
|
|
942 | 942 | num_chan = jspectra.shape[0] |
|
|
943 | 943 | num_hei = jspectra.shape[2] |
|
|
944 | 944 | |
|
|
945 | 945 | freq_dc = jspectra.shape[1] / 2 |
|
|
946 | 946 | ind_vel = numpy.array([-2, -1, 1, 2]) + freq_dc |
|
|
947 | 947 | |
|
|
948 | 948 | if ind_vel[0] < 0: |
|
|
949 | 949 | ind_vel[list(range(0, 1))] = ind_vel[list( |
|
|
950 | 950 | range(0, 1))] + self.num_prof |
|
|
951 | 951 | |
|
|
952 | 952 | if mode == 1: |
|
|
953 | 953 | jspectra[:, freq_dc, :] = ( |
|
|
954 | 954 | jspectra[:, ind_vel[1], :] + jspectra[:, ind_vel[2], :]) / 2 # CORRECCION |
|
|
955 | 955 | |
|
|
956 | 956 | if mode == 2: |
|
|
957 | 957 | |
|
|
958 | 958 | vel = numpy.array([-2, -1, 1, 2]) |
|
|
959 | 959 | xx = numpy.zeros([4, 4]) |
|
|
960 | 960 | |
|
|
961 | 961 | for fil in range(4): |
|
|
962 | 962 | xx[fil, :] = vel[fil]**numpy.asarray(list(range(4))) |
|
|
963 | 963 | |
|
|
964 | 964 | xx_inv = numpy.linalg.inv(xx) |
|
|
965 | 965 | xx_aux = xx_inv[0, :] |
|
|
966 | 966 | |
|
|
967 | 967 | for ich in range(num_chan): |
|
|
968 | 968 | yy = jspectra[ich, ind_vel, :] |
|
|
969 | 969 | jspectra[ich, freq_dc, :] = numpy.dot(xx_aux, yy) |
|
|
970 | 970 | |
|
|
971 | 971 | junkid = jspectra[ich, freq_dc, :] <= 0 |
|
|
972 | 972 | cjunkid = sum(junkid) |
|
|
973 | 973 | |
|
|
974 | 974 | if cjunkid.any(): |
|
|
975 | 975 | jspectra[ich, freq_dc, junkid.nonzero()] = ( |
|
|
976 | 976 | jspectra[ich, ind_vel[1], junkid] + jspectra[ich, ind_vel[2], junkid]) / 2 |
|
|
977 | 977 | |
|
|
978 | 978 | noise = jspectra0[:, freq_dc, :] - jspectra[:, freq_dc, :] |
|
|
979 | 979 | |
|
|
980 | 980 | return noise |
|
|
981 | 981 | |
|
|
982 | 982 | def getTimeInterval(self): |
|
|
983 | 983 | |
|
|
984 | 984 | timeInterval = self.ippSeconds * self.nCohInt * self.nProfiles |
|
|
985 | 985 | |
|
|
986 | 986 | return timeInterval |
|
|
987 | 987 | |
|
|
988 | 988 | def splitFunctions(self): |
|
|
989 | 989 | |
|
|
990 | 990 | pairsList = self.pairsList |
|
|
991 | 991 | ccf_pairs = [] |
|
|
992 | 992 | acf_pairs = [] |
|
|
993 | 993 | ccf_ind = [] |
|
|
994 | 994 | acf_ind = [] |
|
|
995 | 995 | for l in range(len(pairsList)): |
|
|
996 | 996 | chan0 = pairsList[l][0] |
|
|
997 | 997 | chan1 = pairsList[l][1] |
|
|
998 | 998 | |
|
|
999 | 999 | # Obteniendo pares de Autocorrelacion |
|
|
1000 | 1000 | if chan0 == chan1: |
|
|
1001 | 1001 | acf_pairs.append(chan0) |
|
|
1002 | 1002 | acf_ind.append(l) |
|
|
1003 | 1003 | else: |
|
|
1004 | 1004 | ccf_pairs.append(pairsList[l]) |
|
|
1005 | 1005 | ccf_ind.append(l) |
|
|
1006 | 1006 | |
|
|
1007 | 1007 | data_acf = self.data_cf[acf_ind] |
|
|
1008 | 1008 | data_ccf = self.data_cf[ccf_ind] |
|
|
1009 | 1009 | |
|
|
1010 | 1010 | return acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf |
|
|
1011 | 1011 | |
|
|
1012 | 1012 | def getNormFactor(self): |
|
|
1013 | 1013 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.splitFunctions() |
|
|
1014 | 1014 | acf_pairs = numpy.array(acf_pairs) |
|
|
1015 | 1015 | normFactor = numpy.zeros((self.nPairs, self.nHeights)) |
|
|
1016 | 1016 | |
|
|
1017 | 1017 | for p in range(self.nPairs): |
|
|
1018 | 1018 | pair = self.pairsList[p] |
|
|
1019 | 1019 | |
|
|
1020 | 1020 | ch0 = pair[0] |
|
|
1021 | 1021 | ch1 = pair[1] |
|
|
1022 | 1022 | |
|
|
1023 | 1023 | ch0_max = numpy.max(data_acf[acf_pairs == ch0, :, :], axis=1) |
|
|
1024 | 1024 | ch1_max = numpy.max(data_acf[acf_pairs == ch1, :, :], axis=1) |
|
|
1025 | 1025 | normFactor[p, :] = numpy.sqrt(ch0_max * ch1_max) |
|
|
1026 | 1026 | |
|
|
1027 | 1027 | return normFactor |
|
|
1028 | 1028 | |
|
|
1029 | 1029 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
1030 | 1030 | normFactor = property(getNormFactor, "I'm the 'normFactor property'") |
|
|
1031 | 1031 | |
|
|
1032 | 1032 | |
|
|
1033 | 1033 | class Parameters(Spectra): |
|
|
1034 | 1034 | |
|
|
1035 | 1035 | experimentInfo = None # Information about the experiment |
|
|
1036 | 1036 | # Information from previous data |
|
|
1037 | 1037 | inputUnit = None # Type of data to be processed |
|
|
1038 | 1038 | operation = None # Type of operation to parametrize |
|
|
1039 | 1039 | # normFactor = None #Normalization Factor |
|
|
1040 | 1040 | groupList = None # List of Pairs, Groups, etc |
|
|
1041 | 1041 | # Parameters |
|
|
1042 | 1042 | data_param = None # Parameters obtained |
|
|
1043 | 1043 | data_pre = None # Data Pre Parametrization |
|
|
1044 | 1044 | data_SNR = None # Signal to Noise Ratio |
|
|
1045 | 1045 | # heightRange = None #Heights |
|
|
1046 | 1046 | abscissaList = None # Abscissa, can be velocities, lags or time |
|
|
1047 | 1047 | # noise = None #Noise Potency |
|
|
1048 | 1048 | utctimeInit = None # Initial UTC time |
|
|
1049 | 1049 | paramInterval = None # Time interval to calculate Parameters in seconds |
|
|
1050 | 1050 | useLocalTime = True |
|
|
1051 | 1051 | # Fitting |
|
|
1052 | 1052 | data_error = None # Error of the estimation |
|
|
1053 | 1053 | constants = None |
|
|
1054 | 1054 | library = None |
|
|
1055 | 1055 | # Output signal |
|
|
1056 | 1056 | outputInterval = None # Time interval to calculate output signal in seconds |
|
|
1057 | 1057 | data_output = None # Out signal |
|
|
1058 | 1058 | nAvg = None |
|
|
1059 | 1059 | noise_estimation = None |
|
|
1060 | 1060 | GauSPC = None # Fit gaussian SPC |
|
|
1061 | 1061 | |
|
|
1062 | 1062 | def __init__(self): |
|
|
1063 | 1063 | ''' |
|
|
1064 | 1064 | Constructor |
|
|
1065 | 1065 | ''' |
|
|
1066 | 1066 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1067 | 1067 | |
|
|
1068 | 1068 | self.systemHeaderObj = SystemHeader() |
|
|
1069 | 1069 | |
|
|
1070 | 1070 | self.type = "Parameters" |
|
|
1071 | 1071 | |
|
|
1072 | 1072 | def getTimeRange1(self, interval): |
|
|
1073 | 1073 | |
|
|
1074 | 1074 | datatime = [] |
|
|
1075 | 1075 | |
|
|
1076 | 1076 | if self.useLocalTime: |
|
|
1077 | 1077 | time1 = self.utctimeInit - self.timeZone * 60 |
|
|
1078 | 1078 | else: |
|
|
1079 | 1079 | time1 = self.utctimeInit |
|
|
1080 | 1080 | |
|
|
1081 | 1081 | datatime.append(time1) |
|
|
1082 | 1082 | datatime.append(time1 + interval) |
|
|
1083 | 1083 | datatime = numpy.array(datatime) |
|
|
1084 | 1084 | |
|
|
1085 | 1085 | return datatime |
|
|
1086 | 1086 | |
|
|
1087 | 1087 | def getTimeInterval(self): |
|
|
1088 | 1088 | |
|
|
1089 | 1089 | if hasattr(self, 'timeInterval1'): |
|
|
1090 | 1090 | return self.timeInterval1 |
|
|
1091 | 1091 | else: |
|
|
1092 | 1092 | return self.paramInterval |
|
|
1093 | 1093 | |
|
|
1094 | 1094 | def setValue(self, value): |
|
|
1095 | 1095 | |
|
|
1096 | 1096 | print("This property should not be initialized") |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | return |
|
|
1099 | 1099 | |
|
|
1100 | 1100 | def getNoise(self): |
|
|
1101 | 1101 | |
|
|
1102 | 1102 | return self.spc_noise |
|
|
1103 | 1103 | |
|
|
1104 | 1104 | timeInterval = property(getTimeInterval) |
|
|
1105 | 1105 | noise = property(getNoise, setValue, "I'm the 'Noise' property.") |
|
|
1106 | 1106 | |
|
|
1107 | 1107 | |
|
|
1108 | 1108 | class PlotterData(object): |
|
|
1109 | 1109 | ''' |
|
|
1110 | 1110 | Object to hold data to be plotted |
|
|
1111 | 1111 | ''' |
|
|
1112 | 1112 | |
|
|
1113 | 1113 | MAXNUMX = 200 |
|
|
1114 | 1114 | MAXNUMY = 200 |
|
|
1115 | 1115 | |
|
|
1116 | 1116 | def __init__(self, code, throttle_value, exp_code, buffering=True, snr=False): |
|
|
1117 | 1117 | |
|
|
1118 | 1118 | self.key = code |
|
|
1119 | 1119 | self.throttle = throttle_value |
|
|
1120 | 1120 | self.exp_code = exp_code |
|
|
1121 | 1121 | self.buffering = buffering |
|
|
1122 | 1122 | self.ready = False |
|
|
1123 | 1123 | self.flagNoData = False |
|
|
1124 | 1124 | self.localtime = False |
|
|
1125 | 1125 | self.data = {} |
|
|
1126 | 1126 | self.meta = {} |
|
|
1127 | 1127 | self.__heights = [] |
|
|
1128 | 1128 | |
|
|
1129 | 1129 | if 'snr' in code: |
|
|
1130 | 1130 | self.plottypes = ['snr'] |
|
|
1131 | 1131 | elif code == 'spc': |
|
|
1132 | 1132 | self.plottypes = ['spc', 'noise', 'rti'] |
|
|
1133 | 1133 | elif code == 'cspc': |
|
|
1134 | 1134 | self.plottypes = ['cspc', 'spc', 'noise', 'rti'] |
|
|
1135 | 1135 | elif code == 'rti': |
|
|
1136 | 1136 | self.plottypes = ['noise', 'rti'] |
|
|
1137 | 1137 | else: |
|
|
1138 | 1138 | self.plottypes = [code] |
|
|
1139 | 1139 | |
|
|
1140 | 1140 | if 'snr' not in self.plottypes and snr: |
|
|
1141 | 1141 | self.plottypes.append('snr') |
|
|
1142 | 1142 | |
|
|
1143 | 1143 | for plot in self.plottypes: |
|
|
1144 | 1144 | self.data[plot] = {} |
|
|
1145 | 1145 | |
|
|
1146 | 1146 | |
|
|
1147 | 1147 | def __str__(self): |
|
|
1148 | 1148 | dum = ['{}{}'.format(key, self.shape(key)) for key in self.data] |
|
|
1149 | 1149 | return 'Data[{}][{}]'.format(';'.join(dum), len(self.times)) |
|
|
1150 | 1150 | |
|
|
1151 | 1151 | def __len__(self): |
|
|
1152 | 1152 | return len(self.data[self.key]) |
|
|
1153 | 1153 | |
|
|
1154 | 1154 | def __getitem__(self, key): |
|
|
1155 | 1155 | |
|
|
1156 | 1156 | if key not in self.data: |
|
|
1157 | 1157 | raise KeyError(log.error('Missing key: {}'.format(key))) |
|
|
1158 | 1158 | if 'spc' in key or not self.buffering: |
|
|
1159 | 1159 | ret = self.data[key][self.tm] |
|
|
1160 | 1160 | elif 'scope' in key: |
|
|
1161 | 1161 | ret = numpy.array(self.data[key][float(self.tm)]) |
|
|
1162 | 1162 | else: |
|
|
1163 | 1163 | ret = numpy.array([self.data[key][x] for x in self.times]) |
|
|
1164 | 1164 | if ret.ndim > 1: |
|
|
1165 | 1165 | ret = numpy.swapaxes(ret, 0, 1) |
|
|
1166 | 1166 | return ret |
|
|
1167 | 1167 | |
|
|
1168 | 1168 | def __contains__(self, key): |
|
|
1169 | 1169 | return key in self.data |
|
|
1170 | 1170 | |
|
|
1171 | 1171 | def setup(self): |
|
|
1172 | 1172 | ''' |
|
|
1173 | 1173 | Configure object |
|
|
1174 | 1174 | ''' |
|
|
1175 | 1175 | self.type = '' |
|
|
1176 | 1176 | self.ready = False |
|
|
1177 | 1177 | del self.data |
|
|
1178 | 1178 | self.data = {} |
|
|
1179 | 1179 | self.__heights = [] |
|
|
1180 | 1180 | self.__all_heights = set() |
|
|
1181 | 1181 | for plot in self.plottypes: |
|
|
1182 | 1182 | if 'snr' in plot: |
|
|
1183 | 1183 | plot = 'snr' |
|
|
1184 | 1184 | elif 'spc_moments' == plot: |
|
|
1185 | 1185 | plot = 'moments' |
|
|
1186 | 1186 | self.data[plot] = {} |
|
|
1187 | 1187 | |
|
|
1188 | 1188 | if 'spc' in self.data or 'rti' in self.data or 'cspc' in self.data or 'moments' in self.data: |
|
|
1189 | 1189 | self.data['noise'] = {} |
|
|
1190 | 1190 | self.data['rti'] = {} |
|
|
1191 | 1191 | if 'noise' not in self.plottypes: |
|
|
1192 | 1192 | self.plottypes.append('noise') |
|
|
1193 | 1193 | if 'rti' not in self.plottypes: |
|
|
1194 | 1194 | self.plottypes.append('rti') |
|
|
1195 | 1195 | |
|
|
1196 | 1196 | def shape(self, key): |
|
|
1197 | 1197 | ''' |
|
|
1198 | 1198 | Get the shape of the one-element data for the given key |
|
|
1199 | 1199 | ''' |
|
|
1200 | 1200 | |
|
|
1201 | 1201 | if len(self.data[key]): |
|
|
1202 | 1202 | if 'spc' in key or not self.buffering: |
|
|
1203 | 1203 | return self.data[key].shape |
|
|
1204 | 1204 | return self.data[key][self.times[0]].shape |
|
|
1205 | 1205 | return (0,) |
|
|
1206 | 1206 | |
|
|
1207 | 1207 | def update(self, dataOut, tm): |
|
|
1208 | 1208 | ''' |
|
|
1209 | 1209 | Update data object with new dataOut |
|
|
1210 | 1210 | ''' |
|
|
1211 | 1211 | |
|
|
1212 | 1212 | self.profileIndex = dataOut.profileIndex |
|
|
1213 | 1213 | self.tm = tm |
|
|
1214 | 1214 | self.type = dataOut.type |
|
|
1215 | 1215 | self.parameters = getattr(dataOut, 'parameters', []) |
|
|
1216 | 1216 | |
|
|
1217 | 1217 | if hasattr(dataOut, 'meta'): |
|
|
1218 | 1218 | self.meta.update(dataOut.meta) |
|
|
1219 | 1219 | |
|
|
1220 | 1220 | if hasattr(dataOut, 'pairsList'): |
|
|
1221 | 1221 | self.pairs = dataOut.pairsList |
|
|
1222 | 1222 | |
|
|
1223 | 1223 | self.interval = dataOut.getTimeInterval() |
|
|
1224 | 1224 | self.localtime = dataOut.useLocalTime |
|
|
1225 | 1225 | if True in ['spc' in ptype for ptype in self.plottypes]: |
|
|
1226 | 1226 | self.xrange = (dataOut.getFreqRange(1)/1000., |
|
|
1227 | 1227 | dataOut.getAcfRange(1), dataOut.getVelRange(1)) |
|
|
1228 | 1228 | self.__heights.append(dataOut.heightList) |
|
|
1229 | 1229 | self.__all_heights.update(dataOut.heightList) |
|
|
1230 | 1230 | |
|
|
1231 | 1231 | for plot in self.plottypes: |
|
|
1232 | 1232 | if plot in ('spc', 'spc_moments', 'spc_cut'): |
|
|
1233 | 1233 | z = dataOut.data_spc/dataOut.normFactor |
|
|
1234 | 1234 | buffer = 10*numpy.log10(z) |
|
|
1235 | 1235 | if plot == 'cspc': |
|
|
1236 | 1236 | buffer = (dataOut.data_spc, dataOut.data_cspc) |
|
|
1237 | 1237 | if plot == 'noise': |
|
|
1238 | 1238 | buffer = 10*numpy.log10(dataOut.getNoise()/dataOut.normFactor) |
|
|
1239 | 1239 | if plot in ('rti', 'spcprofile'): |
|
|
1240 | 1240 | buffer = dataOut.getPower() |
|
|
1241 | 1241 | if plot == 'snr_db': |
|
|
1242 | 1242 | buffer = dataOut.data_SNR |
|
|
1243 | 1243 | if plot == 'snr': |
|
|
1244 | 1244 | buffer = 10*numpy.log10(dataOut.data_SNR) |
|
|
1245 | 1245 | if plot == 'dop': |
|
|
1246 | 1246 | buffer = dataOut.data_DOP |
|
|
1247 | 1247 | if plot == 'pow': |
|
|
1248 | 1248 | buffer = 10*numpy.log10(dataOut.data_POW) |
|
|
1249 | 1249 | if plot == 'width': |
|
|
1250 | 1250 | buffer = dataOut.data_WIDTH |
|
|
1251 | 1251 | if plot == 'coh': |
|
|
1252 | 1252 | buffer = dataOut.getCoherence() |
|
|
1253 | 1253 | if plot == 'phase': |
|
|
1254 | 1254 | buffer = dataOut.getCoherence(phase=True) |
|
|
1255 | 1255 | if plot == 'output': |
|
|
1256 | 1256 | buffer = dataOut.data_output |
|
|
1257 | 1257 | if plot == 'param': |
|
|
1258 | 1258 | buffer = dataOut.data_param |
|
|
1259 | 1259 | if plot == 'scope': |
|
|
1260 | 1260 | buffer = dataOut.data |
|
|
1261 | 1261 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1262 | 1262 | self.nProfiles = dataOut.nProfiles |
|
|
1263 | 1263 | if plot == 'pp_power': |
|
|
1264 | 1264 | buffer = dataOut.data_intensity |
|
|
1265 | 1265 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1266 | 1266 | self.nProfiles = dataOut.nProfiles |
|
|
1267 | 1267 | if plot == 'pp_velocity': |
|
|
1268 | 1268 | buffer = dataOut.data_velocity |
|
|
1269 | 1269 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1270 | 1270 | self.nProfiles = dataOut.nProfiles |
|
|
1271 | 1271 | if plot == 'pp_specwidth': |
|
|
1272 | 1272 | buffer = dataOut.data_specwidth |
|
|
1273 | 1273 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1274 | 1274 | self.nProfiles = dataOut.nProfiles |
|
|
1275 | 1275 | |
|
|
1276 | 1276 | if plot == 'spc': |
|
|
1277 | 1277 | self.data['spc'][tm] = buffer |
|
|
1278 | 1278 | elif plot == 'cspc': |
|
|
1279 | 1279 | self.data['cspc'][tm] = buffer |
|
|
1280 | 1280 | elif plot == 'spc_moments': |
|
|
1281 | 1281 | self.data['spc'][tm] = buffer |
|
|
1282 | 1282 | self.data['moments'][tm] = dataOut.moments |
|
|
1283 | 1283 | else: |
|
|
1284 | 1284 | if self.buffering: |
|
|
1285 | 1285 | self.data[plot][tm] = buffer |
|
|
1286 | 1286 | else: |
|
|
1287 | 1287 | self.data[plot][tm] = buffer |
|
|
1288 | 1288 | |
|
|
1289 | 1289 | if dataOut.channelList is None: |
|
|
1290 | 1290 | self.channels = range(buffer.shape[0]) |
|
|
1291 | 1291 | else: |
|
|
1292 | 1292 | self.channels = dataOut.channelList |
|
|
1293 | 1293 | |
|
|
1294 | 1294 | if buffer is None: |
|
|
1295 | 1295 | self.flagNoData = True |
|
|
1296 | 1296 | raise schainpy.admin.SchainWarning('Attribute data_{} is empty'.format(self.key)) |
|
|
1297 | 1297 | |
|
|
1298 | 1298 | def normalize_heights(self): |
|
|
1299 | 1299 | ''' |
|
|
1300 | 1300 | Ensure same-dimension of the data for different heighList |
|
|
1301 | 1301 | ''' |
|
|
1302 | 1302 | |
|
|
1303 | 1303 | H = numpy.array(list(self.__all_heights)) |
|
|
1304 | 1304 | H.sort() |
|
|
1305 | 1305 | for key in self.data: |
|
|
1306 | 1306 | shape = self.shape(key)[:-1] + H.shape |
|
|
1307 | 1307 | for tm, obj in list(self.data[key].items()): |
|
|
1308 | h = self.__heights[self.times.index(tm)] | |
|
|
1308 | h = self.__heights[self.times.tolist().index(tm)] | |
|
|
1309 | 1309 | if H.size == h.size: |
|
|
1310 | 1310 | continue |
|
|
1311 | 1311 | index = numpy.where(numpy.in1d(H, h))[0] |
|
|
1312 | 1312 | dummy = numpy.zeros(shape) + numpy.nan |
|
|
1313 | 1313 | if len(shape) == 2: |
|
|
1314 | 1314 | dummy[:, index] = obj |
|
|
1315 | 1315 | else: |
|
|
1316 | 1316 | dummy[index] = obj |
|
|
1317 | 1317 | self.data[key][tm] = dummy |
|
|
1318 | 1318 | |
|
|
1319 | 1319 | self.__heights = [H for tm in self.times] |
|
|
1320 | 1320 | |
|
|
1321 | 1321 | def jsonify(self, tm, plot_name, plot_type, decimate=False): |
|
|
1322 | 1322 | ''' |
|
|
1323 | 1323 | Convert data to json |
|
|
1324 | 1324 | ''' |
|
|
1325 | 1325 | |
|
|
1326 | 1326 | dy = int(self.heights.size/self.MAXNUMY) + 1 |
|
|
1327 | 1327 | if self.key in ('spc', 'cspc'): |
|
|
1328 | 1328 | dx = int(self.data[self.key][tm].shape[1]/self.MAXNUMX) + 1 |
|
|
1329 | 1329 | data = self.roundFloats( |
|
|
1330 | 1330 | self.data[self.key][tm][::, ::dx, ::dy].tolist()) |
|
|
1331 | 1331 | else: |
|
|
1332 | 1332 | if self.key is 'noise': |
|
|
1333 | 1333 | data = [[x] for x in self.roundFloats(self.data[self.key][tm].tolist())] |
|
|
1334 | 1334 | else: |
|
|
1335 | 1335 | data = self.roundFloats(self.data[self.key][tm][::, ::dy].tolist()) |
|
|
1336 | 1336 | |
|
|
1337 | 1337 | meta = {} |
|
|
1338 | 1338 | ret = { |
|
|
1339 | 1339 | 'plot': plot_name, |
|
|
1340 | 1340 | 'code': self.exp_code, |
|
|
1341 | 1341 | 'time': float(tm), |
|
|
1342 | 1342 | 'data': data, |
|
|
1343 | 1343 | } |
|
|
1344 | 1344 | meta['type'] = plot_type |
|
|
1345 | 1345 | meta['interval'] = float(self.interval) |
|
|
1346 | 1346 | meta['localtime'] = self.localtime |
|
|
1347 | 1347 | meta['yrange'] = self.roundFloats(self.heights[::dy].tolist()) |
|
|
1348 | 1348 | if 'spc' in self.data or 'cspc' in self.data: |
|
|
1349 | 1349 | meta['xrange'] = self.roundFloats(self.xrange[2][::dx].tolist()) |
|
|
1350 | 1350 | else: |
|
|
1351 | 1351 | meta['xrange'] = [] |
|
|
1352 | 1352 | |
|
|
1353 | 1353 | meta.update(self.meta) |
|
|
1354 | 1354 | ret['metadata'] = meta |
|
|
1355 | 1355 | return json.dumps(ret) |
|
|
1356 | 1356 | |
|
|
1357 | 1357 | @property |
|
|
1358 | 1358 | def times(self): |
|
|
1359 | 1359 | ''' |
|
|
1360 | 1360 | Return the list of times of the current data |
|
|
1361 | 1361 | ''' |
|
|
1362 | 1362 | |
|
|
1363 | 1363 | ret = numpy.array([*self.data[self.key]]) |
|
|
1364 | 1364 | if self: |
|
|
1365 | 1365 | ret.sort() |
|
|
1366 | 1366 | return ret |
|
|
1367 | 1367 | |
|
|
1368 | 1368 | @property |
|
|
1369 | 1369 | def min_time(self): |
|
|
1370 | 1370 | ''' |
|
|
1371 | 1371 | Return the minimun time value |
|
|
1372 | 1372 | ''' |
|
|
1373 | 1373 | |
|
|
1374 | 1374 | return self.times[0] |
|
|
1375 | 1375 | |
|
|
1376 | 1376 | @property |
|
|
1377 | 1377 | def max_time(self): |
|
|
1378 | 1378 | ''' |
|
|
1379 | 1379 | Return the maximun time value |
|
|
1380 | 1380 | ''' |
|
|
1381 | 1381 | |
|
|
1382 | 1382 | return self.times[-1] |
|
|
1383 | 1383 | |
|
|
1384 | 1384 | @property |
|
|
1385 | 1385 | def heights(self): |
|
|
1386 | 1386 | ''' |
|
|
1387 | 1387 | Return the list of heights of the current data |
|
|
1388 | 1388 | ''' |
|
|
1389 | 1389 | |
|
|
1390 | 1390 | return numpy.array(self.__heights[-1]) |
|
|
1391 | 1391 | |
|
|
1392 | 1392 | @staticmethod |
|
|
1393 | 1393 | def roundFloats(obj): |
|
|
1394 | 1394 | if isinstance(obj, list): |
|
|
1395 | 1395 | return list(map(PlotterData.roundFloats, obj)) |
|
|
1396 | 1396 | elif isinstance(obj, float): |
|
|
1397 | 1397 | return round(obj, 2) |
| @@ -1,341 +1,346 | |||
|
|
1 | 1 | import os |
|
|
2 | 2 | import datetime |
|
|
3 | 3 | import numpy |
|
|
4 | 4 | |
|
|
5 | 5 | from schainpy.model.graphics.jroplot_base import Plot, plt |
|
|
6 | 6 | from schainpy.model.graphics.jroplot_spectra import SpectraPlot, RTIPlot, CoherencePlot |
|
|
7 | 7 | from schainpy.utils import log |
|
|
8 | 8 | |
|
|
9 | 9 | EARTH_RADIUS = 6.3710e3 |
|
|
10 | 10 | |
|
|
11 | 11 | |
|
|
12 | 12 | def ll2xy(lat1, lon1, lat2, lon2): |
|
|
13 | 13 | |
|
|
14 | 14 | p = 0.017453292519943295 |
|
|
15 | 15 | a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * \ |
|
|
16 | 16 | numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2 |
|
|
17 | 17 | r = 12742 * numpy.arcsin(numpy.sqrt(a)) |
|
|
18 | 18 | theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p) |
|
|
19 | 19 | * numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p)) |
|
|
20 | 20 | theta = -theta + numpy.pi/2 |
|
|
21 | 21 | return r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
22 | 22 | |
|
|
23 | 23 | |
|
|
24 | 24 | def km2deg(km): |
|
|
25 | 25 | ''' |
|
|
26 | 26 | Convert distance in km to degrees |
|
|
27 | 27 | ''' |
|
|
28 | 28 | |
|
|
29 | 29 | return numpy.rad2deg(km/EARTH_RADIUS) |
|
|
30 | 30 | |
|
|
31 | 31 | |
|
|
32 | 32 | |
|
|
33 | 33 | class SpectralMomentsPlot(SpectraPlot): |
|
|
34 | 34 | ''' |
|
|
35 | 35 | Plot for Spectral Moments |
|
|
36 | 36 | ''' |
|
|
37 | 37 | CODE = 'spc_moments' |
|
|
38 | 38 | colormap = 'jet' |
|
|
39 | 39 | plot_name = 'SpectralMoments' |
|
|
40 | 40 | plot_type = 'pcolor' |
|
|
41 | 41 | |
|
|
42 | 42 | |
|
|
43 | 43 | class SnrPlot(RTIPlot): |
|
|
44 | 44 | ''' |
|
|
45 | 45 | Plot for SNR Data |
|
|
46 | 46 | ''' |
|
|
47 | 47 | |
|
|
48 | 48 | CODE = 'snr' |
|
|
49 | 49 | colormap = 'jet' |
|
|
50 | 50 | plot_name = 'SNR' |
|
|
51 | 51 | |
|
|
52 | 52 | |
|
|
53 | 53 | class DopplerPlot(RTIPlot): |
|
|
54 | 54 | ''' |
|
|
55 | 55 | Plot for DOPPLER Data (1st moment) |
|
|
56 | 56 | ''' |
|
|
57 | 57 | |
|
|
58 | 58 | CODE = 'dop' |
|
|
59 | 59 | colormap = 'jet' |
|
|
60 | 60 | plot_name = 'DopplerShift' |
|
|
61 | 61 | |
|
|
62 | 62 | |
|
|
63 | 63 | class PowerPlot(RTIPlot): |
|
|
64 | 64 | ''' |
|
|
65 | 65 | Plot for Power Data (0 moment) |
|
|
66 | 66 | ''' |
|
|
67 | 67 | |
|
|
68 | 68 | CODE = 'pow' |
|
|
69 | 69 | colormap = 'jet' |
|
|
70 | 70 | plot_name = 'TotalPower' |
|
|
71 | 71 | |
|
|
72 | 72 | |
|
|
73 | 73 | class SpectralWidthPlot(RTIPlot): |
|
|
74 | 74 | ''' |
|
|
75 | 75 | Plot for Spectral Width Data (2nd moment) |
|
|
76 | 76 | ''' |
|
|
77 | 77 | |
|
|
78 | 78 | CODE = 'width' |
|
|
79 | 79 | colormap = 'jet' |
|
|
80 | 80 | plot_name = 'SpectralWidth' |
|
|
81 | 81 | |
|
|
82 | 82 | |
|
|
83 | 83 | class SkyMapPlot(Plot): |
|
|
84 | 84 | ''' |
|
|
85 | 85 | Plot for meteors detection data |
|
|
86 | 86 | ''' |
|
|
87 | 87 | |
|
|
88 | 88 | CODE = 'param' |
|
|
89 | 89 | |
|
|
90 | 90 | def setup(self): |
|
|
91 | 91 | |
|
|
92 | 92 | self.ncols = 1 |
|
|
93 | 93 | self.nrows = 1 |
|
|
94 | 94 | self.width = 7.2 |
|
|
95 | 95 | self.height = 7.2 |
|
|
96 | 96 | self.nplots = 1 |
|
|
97 | 97 | self.xlabel = 'Zonal Zenith Angle (deg)' |
|
|
98 | 98 | self.ylabel = 'Meridional Zenith Angle (deg)' |
|
|
99 | 99 | self.polar = True |
|
|
100 | 100 | self.ymin = -180 |
|
|
101 | 101 | self.ymax = 180 |
|
|
102 | 102 | self.colorbar = False |
|
|
103 | 103 | |
|
|
104 | 104 | def plot(self): |
|
|
105 | 105 | |
|
|
106 | 106 | arrayParameters = numpy.concatenate(self.data['param']) |
|
|
107 | 107 | error = arrayParameters[:, -1] |
|
|
108 | 108 | indValid = numpy.where(error == 0)[0] |
|
|
109 | 109 | finalMeteor = arrayParameters[indValid, :] |
|
|
110 | 110 | finalAzimuth = finalMeteor[:, 3] |
|
|
111 | 111 | finalZenith = finalMeteor[:, 4] |
|
|
112 | 112 | |
|
|
113 | 113 | x = finalAzimuth * numpy.pi / 180 |
|
|
114 | 114 | y = finalZenith |
|
|
115 | 115 | |
|
|
116 | 116 | ax = self.axes[0] |
|
|
117 | 117 | |
|
|
118 | 118 | if ax.firsttime: |
|
|
119 | 119 | ax.plot = ax.plot(x, y, 'bo', markersize=5)[0] |
|
|
120 | 120 | else: |
|
|
121 | 121 | ax.plot.set_data(x, y) |
|
|
122 | 122 | |
|
|
123 | 123 | dt1 = self.getDateTime(self.data.min_time).strftime('%y/%m/%d %H:%M:%S') |
|
|
124 | 124 | dt2 = self.getDateTime(self.data.max_time).strftime('%y/%m/%d %H:%M:%S') |
|
|
125 | 125 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, |
|
|
126 | 126 | dt2, |
|
|
127 | 127 | len(x)) |
|
|
128 | 128 | self.titles[0] = title |
|
|
129 | 129 | |
|
|
130 | 130 | |
|
|
131 | 131 | class ParametersPlot(RTIPlot): |
|
|
132 | 132 | ''' |
|
|
133 | 133 | Plot for data_param object |
|
|
134 | 134 | ''' |
|
|
135 | 135 | |
|
|
136 | 136 | CODE = 'param' |
|
|
137 | 137 | colormap = 'seismic' |
|
|
138 | 138 | plot_name = 'Parameters' |
|
|
139 | 139 | |
|
|
140 | 140 | def setup(self): |
|
|
141 | 141 | self.xaxis = 'time' |
|
|
142 | 142 | self.ncols = 1 |
|
|
143 | 143 | self.nrows = self.data.shape(self.CODE)[0] |
|
|
144 | 144 | self.nplots = self.nrows |
|
|
145 | self.plots_adjust.update({'hspace':0.8, 'left': 0.1, 'bottom': 0.08, 'right':0.95, 'top': 0.95}) | |
|
|
146 | ||
|
|
147 | if not self.xlabel: | |
|
|
148 | self.xlabel = 'Time' | |
|
|
149 | ||
|
|
145 | 150 | if self.showSNR: |
|
|
146 | 151 | self.nrows += 1 |
|
|
147 | 152 | self.nplots += 1 |
|
|
148 | 153 | |
|
|
149 | 154 | self.ylabel = 'Height [km]' |
|
|
150 | 155 | if not self.titles: |
|
|
151 | 156 | self.titles = self.data.parameters \ |
|
|
152 | 157 | if self.data.parameters else ['Param {}'.format(x) for x in range(self.nrows)] |
|
|
153 | 158 | if self.showSNR: |
|
|
154 | 159 | self.titles.append('SNR') |
|
|
155 | 160 | |
|
|
156 | 161 | def plot(self): |
|
|
157 | 162 | self.data.normalize_heights() |
|
|
158 | 163 | self.x = self.data.times |
|
|
159 | 164 | self.y = self.data.heights |
|
|
160 | 165 | if self.showSNR: |
|
|
161 | 166 | self.z = numpy.concatenate( |
|
|
162 | 167 | (self.data[self.CODE], self.data['snr']) |
|
|
163 | 168 | ) |
|
|
164 | 169 | else: |
|
|
165 | 170 | self.z = self.data[self.CODE] |
|
|
166 | 171 | |
|
|
167 | 172 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
168 | 173 | |
|
|
169 | 174 | if self.decimation is None: |
|
|
170 | 175 | x, y, z = self.fill_gaps(self.x, self.y, self.z) |
|
|
171 | 176 | else: |
|
|
172 | 177 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
173 | 178 | |
|
|
174 | 179 | for n, ax in enumerate(self.axes): |
|
|
175 | 180 | |
|
|
176 | 181 | self.zmax = self.zmax if self.zmax is not None else numpy.max( |
|
|
177 | 182 | self.z[n]) |
|
|
178 | 183 | self.zmin = self.zmin if self.zmin is not None else numpy.min( |
|
|
179 | 184 | self.z[n]) |
|
|
180 | 185 | |
|
|
181 | 186 | if ax.firsttime: |
|
|
182 | 187 | if self.zlimits is not None: |
|
|
183 | 188 | self.zmin, self.zmax = self.zlimits[n] |
|
|
184 | 189 | |
|
|
185 | 190 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], |
|
|
186 | 191 | vmin=self.zmin, |
|
|
187 | 192 | vmax=self.zmax, |
|
|
188 | 193 | cmap=self.cmaps[n] |
|
|
189 | 194 | ) |
|
|
190 | 195 | else: |
|
|
191 | 196 | if self.zlimits is not None: |
|
|
192 | 197 | self.zmin, self.zmax = self.zlimits[n] |
|
|
193 | 198 | ax.collections.remove(ax.collections[0]) |
|
|
194 | 199 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], |
|
|
195 | 200 | vmin=self.zmin, |
|
|
196 | 201 | vmax=self.zmax, |
|
|
197 | 202 | cmap=self.cmaps[n] |
|
|
198 | 203 | ) |
|
|
199 | 204 | |
|
|
200 | 205 | |
|
|
201 | 206 | class OutputPlot(ParametersPlot): |
|
|
202 | 207 | ''' |
|
|
203 | 208 | Plot data_output object |
|
|
204 | 209 | ''' |
|
|
205 | 210 | |
|
|
206 | 211 | CODE = 'output' |
|
|
207 | 212 | colormap = 'seismic' |
|
|
208 | 213 | plot_name = 'Output' |
|
|
209 | 214 | |
|
|
210 | 215 | |
|
|
211 | 216 | class PolarMapPlot(Plot): |
|
|
212 | 217 | ''' |
|
|
213 | 218 | Plot for weather radar |
|
|
214 | 219 | ''' |
|
|
215 | 220 | |
|
|
216 | 221 | CODE = 'param' |
|
|
217 | 222 | colormap = 'seismic' |
|
|
218 | 223 | |
|
|
219 | 224 | def setup(self): |
|
|
220 | 225 | self.ncols = 1 |
|
|
221 | 226 | self.nrows = 1 |
|
|
222 | 227 | self.width = 9 |
|
|
223 | 228 | self.height = 8 |
|
|
224 | 229 | self.mode = self.data.meta['mode'] |
|
|
225 | 230 | if self.channels is not None: |
|
|
226 | 231 | self.nplots = len(self.channels) |
|
|
227 | 232 | self.nrows = len(self.channels) |
|
|
228 | 233 | else: |
|
|
229 | 234 | self.nplots = self.data.shape(self.CODE)[0] |
|
|
230 | 235 | self.nrows = self.nplots |
|
|
231 | 236 | self.channels = list(range(self.nplots)) |
|
|
232 | 237 | if self.mode == 'E': |
|
|
233 | 238 | self.xlabel = 'Longitude' |
|
|
234 | 239 | self.ylabel = 'Latitude' |
|
|
235 | 240 | else: |
|
|
236 | 241 | self.xlabel = 'Range (km)' |
|
|
237 | 242 | self.ylabel = 'Height (km)' |
|
|
238 | 243 | self.bgcolor = 'white' |
|
|
239 | 244 | self.cb_labels = self.data.meta['units'] |
|
|
240 | 245 | self.lat = self.data.meta['latitude'] |
|
|
241 | 246 | self.lon = self.data.meta['longitude'] |
|
|
242 | 247 | self.xmin, self.xmax = float( |
|
|
243 | 248 | km2deg(self.xmin) + self.lon), float(km2deg(self.xmax) + self.lon) |
|
|
244 | 249 | self.ymin, self.ymax = float( |
|
|
245 | 250 | km2deg(self.ymin) + self.lat), float(km2deg(self.ymax) + self.lat) |
|
|
246 | 251 | # self.polar = True |
|
|
247 | 252 | |
|
|
248 | 253 | def plot(self): |
|
|
249 | 254 | |
|
|
250 | 255 | for n, ax in enumerate(self.axes): |
|
|
251 | 256 | data = self.data['param'][self.channels[n]] |
|
|
252 | 257 | |
|
|
253 | 258 | zeniths = numpy.linspace( |
|
|
254 | 259 | 0, self.data.meta['max_range'], data.shape[1]) |
|
|
255 | 260 | if self.mode == 'E': |
|
|
256 | 261 | azimuths = -numpy.radians(self.data.heights)+numpy.pi/2 |
|
|
257 | 262 | r, theta = numpy.meshgrid(zeniths, azimuths) |
|
|
258 | 263 | x, y = r*numpy.cos(theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])), r*numpy.sin( |
|
|
259 | 264 | theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])) |
|
|
260 | 265 | x = km2deg(x) + self.lon |
|
|
261 | 266 | y = km2deg(y) + self.lat |
|
|
262 | 267 | else: |
|
|
263 | 268 | azimuths = numpy.radians(self.data.heights) |
|
|
264 | 269 | r, theta = numpy.meshgrid(zeniths, azimuths) |
|
|
265 | 270 | x, y = r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
266 | 271 | self.y = zeniths |
|
|
267 | 272 | |
|
|
268 | 273 | if ax.firsttime: |
|
|
269 | 274 | if self.zlimits is not None: |
|
|
270 | 275 | self.zmin, self.zmax = self.zlimits[n] |
|
|
271 | 276 | ax.plt = ax.pcolormesh( # r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
272 | 277 | x, y, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
273 | 278 | vmin=self.zmin, |
|
|
274 | 279 | vmax=self.zmax, |
|
|
275 | 280 | cmap=self.cmaps[n]) |
|
|
276 | 281 | else: |
|
|
277 | 282 | if self.zlimits is not None: |
|
|
278 | 283 | self.zmin, self.zmax = self.zlimits[n] |
|
|
279 | 284 | ax.collections.remove(ax.collections[0]) |
|
|
280 | 285 | ax.plt = ax.pcolormesh( # r, theta, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
281 | 286 | x, y, numpy.ma.array(data, mask=numpy.isnan(data)), |
|
|
282 | 287 | vmin=self.zmin, |
|
|
283 | 288 | vmax=self.zmax, |
|
|
284 | 289 | cmap=self.cmaps[n]) |
|
|
285 | 290 | |
|
|
286 | 291 | if self.mode == 'A': |
|
|
287 | 292 | continue |
|
|
288 | 293 | |
|
|
289 | 294 | # plot district names |
|
|
290 | 295 | f = open('/data/workspace/schain_scripts/distrito.csv') |
|
|
291 | 296 | for line in f: |
|
|
292 | 297 | label, lon, lat = [s.strip() for s in line.split(',') if s] |
|
|
293 | 298 | lat = float(lat) |
|
|
294 | 299 | lon = float(lon) |
|
|
295 | 300 | # ax.plot(lon, lat, '.b', ms=2) |
|
|
296 | 301 | ax.text(lon, lat, label.decode('utf8'), ha='center', |
|
|
297 | 302 | va='bottom', size='8', color='black') |
|
|
298 | 303 | |
|
|
299 | 304 | # plot limites |
|
|
300 | 305 | limites = [] |
|
|
301 | 306 | tmp = [] |
|
|
302 | 307 | for line in open('/data/workspace/schain_scripts/lima.csv'): |
|
|
303 | 308 | if '#' in line: |
|
|
304 | 309 | if tmp: |
|
|
305 | 310 | limites.append(tmp) |
|
|
306 | 311 | tmp = [] |
|
|
307 | 312 | continue |
|
|
308 | 313 | values = line.strip().split(',') |
|
|
309 | 314 | tmp.append((float(values[0]), float(values[1]))) |
|
|
310 | 315 | for points in limites: |
|
|
311 | 316 | ax.add_patch( |
|
|
312 | 317 | Polygon(points, ec='k', fc='none', ls='--', lw=0.5)) |
|
|
313 | 318 | |
|
|
314 | 319 | # plot Cuencas |
|
|
315 | 320 | for cuenca in ('rimac', 'lurin', 'mala', 'chillon', 'chilca', 'chancay-huaral'): |
|
|
316 | 321 | f = open('/data/workspace/schain_scripts/{}.csv'.format(cuenca)) |
|
|
317 | 322 | values = [line.strip().split(',') for line in f] |
|
|
318 | 323 | points = [(float(s[0]), float(s[1])) for s in values] |
|
|
319 | 324 | ax.add_patch(Polygon(points, ec='b', fc='none')) |
|
|
320 | 325 | |
|
|
321 | 326 | # plot grid |
|
|
322 | 327 | for r in (15, 30, 45, 60): |
|
|
323 | 328 | ax.add_artist(plt.Circle((self.lon, self.lat), |
|
|
324 | 329 | km2deg(r), color='0.6', fill=False, lw=0.2)) |
|
|
325 | 330 | ax.text( |
|
|
326 | 331 | self.lon + (km2deg(r))*numpy.cos(60*numpy.pi/180), |
|
|
327 | 332 | self.lat + (km2deg(r))*numpy.sin(60*numpy.pi/180), |
|
|
328 | 333 | '{}km'.format(r), |
|
|
329 | 334 | ha='center', va='bottom', size='8', color='0.6', weight='heavy') |
|
|
330 | 335 | |
|
|
331 | 336 | if self.mode == 'E': |
|
|
332 | 337 | title = 'El={}$^\circ$'.format(self.data.meta['elevation']) |
|
|
333 | 338 | label = 'E{:02d}'.format(int(self.data.meta['elevation'])) |
|
|
334 | 339 | else: |
|
|
335 | 340 | title = 'Az={}$^\circ$'.format(self.data.meta['azimuth']) |
|
|
336 | 341 | label = 'A{:02d}'.format(int(self.data.meta['azimuth'])) |
|
|
337 | 342 | |
|
|
338 | 343 | self.save_labels = ['{}-{}'.format(lbl, label) for lbl in self.labels] |
|
|
339 | 344 | self.titles = ['{} {}'.format( |
|
|
340 | 345 | self.data.parameters[x], title) for x in self.channels] |
|
|
341 | 346 | |
| @@ -1,407 +1,355 | |||
|
|
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 | import schainpy.admin |
|
|
17 | 17 | from schainpy.model.proc.jroproc_base import ProcessingUnit, MPDecorator |
|
|
18 | 18 | from schainpy.model.data.jrodata import Parameters |
|
|
19 |
from schainpy.model.io.jroIO_base import |
|
|
|
19 | from schainpy.model.io.jroIO_base import Reader | |
|
|
20 | 20 | from schainpy.utils import log |
|
|
21 | 21 | |
|
|
22 | 22 | FILE_HEADER_STRUCTURE = numpy.dtype([ |
|
|
23 | 23 | ('FMN', '<u4'), |
|
|
24 | 24 | ('nrec', '<u4'), |
|
|
25 | 25 | ('fr_offset', '<u4'), |
|
|
26 | 26 | ('id', '<u4'), |
|
|
27 | 27 | ('site', 'u1', (32,)) |
|
|
28 | 28 | ]) |
|
|
29 | 29 | |
|
|
30 | 30 | REC_HEADER_STRUCTURE = numpy.dtype([ |
|
|
31 | 31 | ('rmn', '<u4'), |
|
|
32 | 32 | ('rcounter', '<u4'), |
|
|
33 | 33 | ('nr_offset', '<u4'), |
|
|
34 | 34 | ('tr_offset', '<u4'), |
|
|
35 | 35 | ('time', '<u4'), |
|
|
36 | 36 | ('time_msec', '<u4'), |
|
|
37 | 37 | ('tag', 'u1', (32,)), |
|
|
38 | 38 | ('comments', 'u1', (32,)), |
|
|
39 | 39 | ('lat', '<f4'), |
|
|
40 | 40 | ('lon', '<f4'), |
|
|
41 | 41 | ('gps_status', '<u4'), |
|
|
42 | 42 | ('freq', '<u4'), |
|
|
43 | 43 | ('freq0', '<u4'), |
|
|
44 | 44 | ('nchan', '<u4'), |
|
|
45 | 45 | ('delta_r', '<u4'), |
|
|
46 | 46 | ('nranges', '<u4'), |
|
|
47 | 47 | ('r0', '<u4'), |
|
|
48 | 48 | ('prf', '<u4'), |
|
|
49 | 49 | ('ncoh', '<u4'), |
|
|
50 | 50 | ('npoints', '<u4'), |
|
|
51 | 51 | ('polarization', '<i4'), |
|
|
52 | 52 | ('rx_filter', '<u4'), |
|
|
53 | 53 | ('nmodes', '<u4'), |
|
|
54 | 54 | ('dmode_index', '<u4'), |
|
|
55 | 55 | ('dmode_rngcorr', '<u4'), |
|
|
56 | 56 | ('nrxs', '<u4'), |
|
|
57 | 57 | ('acf_length', '<u4'), |
|
|
58 | 58 | ('acf_lags', '<u4'), |
|
|
59 | 59 | ('sea_to_atmos', '<f4'), |
|
|
60 | 60 | ('sea_notch', '<u4'), |
|
|
61 | 61 | ('lh_sea', '<u4'), |
|
|
62 | 62 | ('hh_sea', '<u4'), |
|
|
63 | 63 | ('nbins_sea', '<u4'), |
|
|
64 | 64 | ('min_snr', '<f4'), |
|
|
65 | 65 | ('min_cc', '<f4'), |
|
|
66 | 66 | ('max_time_diff', '<f4') |
|
|
67 | 67 | ]) |
|
|
68 | 68 | |
|
|
69 | 69 | DATA_STRUCTURE = numpy.dtype([ |
|
|
70 | 70 | ('range', '<u4'), |
|
|
71 | 71 | ('status', '<u4'), |
|
|
72 | 72 | ('zonal', '<f4'), |
|
|
73 | 73 | ('meridional', '<f4'), |
|
|
74 | 74 | ('vertical', '<f4'), |
|
|
75 | 75 | ('zonal_a', '<f4'), |
|
|
76 | 76 | ('meridional_a', '<f4'), |
|
|
77 | 77 | ('corrected_fading', '<f4'), # seconds |
|
|
78 | 78 | ('uncorrected_fading', '<f4'), # seconds |
|
|
79 | 79 | ('time_diff', '<f4'), |
|
|
80 | 80 | ('major_axis', '<f4'), |
|
|
81 | 81 | ('axial_ratio', '<f4'), |
|
|
82 | 82 | ('orientation', '<f4'), |
|
|
83 | 83 | ('sea_power', '<u4'), |
|
|
84 | 84 | ('sea_algorithm', '<u4') |
|
|
85 | 85 | ]) |
|
|
86 | 86 | |
|
|
87 | 87 | |
|
|
88 |
class BLTRParamReader( |
|
|
|
88 | class BLTRParamReader(Reader, ProcessingUnit): | |
|
|
89 | 89 | ''' |
|
|
90 | 90 | Boundary Layer and Tropospheric Radar (BLTR) reader, Wind velocities and SNR |
|
|
91 | 91 | from *.sswma files |
|
|
92 | 92 | ''' |
|
|
93 | 93 | |
|
|
94 | 94 | ext = '.sswma' |
|
|
95 | 95 | |
|
|
96 | 96 | def __init__(self): |
|
|
97 | 97 | |
|
|
98 | 98 | ProcessingUnit.__init__(self) |
|
|
99 | 99 | |
|
|
100 | 100 | self.dataOut = Parameters() |
|
|
101 | self.dataOut.timezone = 300 | |
|
|
101 | 102 | self.counter_records = 0 |
|
|
102 | 103 | self.flagNoMoreFiles = 0 |
|
|
103 | 104 | self.isConfig = False |
|
|
104 | 105 | self.filename = None |
|
|
105 | ||
|
|
106 | def setup(self, | |
|
|
107 | path=None, | |
|
|
108 | startDate=None, | |
|
|
109 | endDate=None, | |
|
|
110 | ext=None, | |
|
|
111 | startTime=datetime.time(0, 0, 0), | |
|
|
112 | endTime=datetime.time(23, 59, 59), | |
|
|
113 | timezone=0, | |
|
|
114 | status_value=0, | |
|
|
115 | **kwargs): | |
|
|
116 | self.path = path | |
|
|
117 | self.startDate = startDate | |
|
|
118 | self.endDate = endDate | |
|
|
119 | self.startTime = startTime | |
|
|
120 | self.endTime = endTime | |
|
|
121 | self.status_value = status_value | |
|
|
106 | self.status_value = 0 | |
|
|
122 | 107 | self.datatime = datetime.datetime(1900,1,1) |
|
|
123 | self.delay = kwargs.get('delay', 10) | |
|
|
124 | self.online = kwargs.get('online', False) | |
|
|
125 | self.nTries = kwargs.get('nTries', 3) | |
|
|
108 | self.filefmt = "*********%Y%m%d******" | |
|
|
109 | ||
|
|
110 | def setup(self, **kwargs): | |
|
|
111 | ||
|
|
112 | self.set_kwargs(**kwargs) | |
|
|
126 | 113 | |
|
|
127 | 114 | if self.path is None: |
|
|
128 | 115 | raise ValueError("The path is not valid") |
|
|
129 | 116 | |
|
|
130 |
if |
|
|
|
131 | ext = self.ext | |
|
|
132 | ||
|
|
133 | self.fileList = self.search_files(self.path, startDate, endDate, ext) | |
|
|
134 | self.timezone = timezone | |
|
|
135 | self.fileIndex = 0 | |
|
|
117 | if self.online: | |
|
|
118 | log.log("Searching files in online mode...", self.name) | |
|
|
119 | ||
|
|
120 | for nTries in range(self.nTries): | |
|
|
121 | fullpath = self.searchFilesOnLine(self.path, self.startDate, | |
|
|
122 | self.endDate, self.expLabel, self.ext, self.walk, | |
|
|
123 | self.filefmt, self.folderfmt) | |
|
|
124 | try: | |
|
|
125 | fullpath = next(fullpath) | |
|
|
126 | except: | |
|
|
127 | fullpath = None | |
|
|
128 | ||
|
|
129 | if fullpath: | |
|
|
130 | self.fileSize = os.path.getsize(fullpath) | |
|
|
131 | self.filename = fullpath | |
|
|
132 | self.flagIsNewFile = 1 | |
|
|
133 | if self.fp != None: | |
|
|
134 | self.fp.close() | |
|
|
135 | self.fp = self.open_file(fullpath, self.open_mode) | |
|
|
136 | self.flagNoMoreFiles = 0 | |
|
|
137 | break | |
|
|
136 | 138 | |
|
|
137 | if not self.fileList: | |
|
|
138 | raise Warning("There is no files matching these date in the folder: %s. \n Check 'startDate' and 'endDate' " % ( | |
|
|
139 | path)) | |
|
|
139 | log.warning( | |
|
|
140 | 'Waiting {} sec for a valid file in {}: try {} ...'.format( | |
|
|
141 | self.delay, self.path, nTries + 1), | |
|
|
142 | self.name) | |
|
|
143 | time.sleep(self.delay) | |
|
|
140 | 144 | |
|
|
141 | self.setNextFile() | |
|
|
145 | if not(fullpath): | |
|
|
146 | raise schainpy.admin.SchainError( | |
|
|
147 | 'There isn\'t any valid file in {}'.format(self.path)) | |
|
|
148 | self.readFirstHeader() | |
|
|
149 | else: | |
|
|
150 | log.log("Searching files in {}".format(self.path), self.name) | |
|
|
151 | self.filenameList = self.searchFilesOffLine(self.path, self.startDate, | |
|
|
152 | self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt) | |
|
|
153 | self.setNextFile() | |
|
|
142 | 154 | |
|
|
143 | def search_last_file(self): | |
|
|
155 | def checkForRealPath(self, nextFile, nextDay): | |
|
|
144 | 156 | ''' |
|
|
145 | Get last file and add it to the list | |
|
|
146 | 157 | ''' |
|
|
147 | 158 | |
|
|
148 | for n in range(self.nTries+1): | |
|
|
149 | if n>0: | |
|
|
150 | log.warning( | |
|
|
151 | "Waiting %0.2f seconds for the next file, try %03d ..." % (self.delay, n+1), | |
|
|
152 | self.name | |
|
|
153 | ) | |
|
|
154 | time.sleep(self.delay) | |
|
|
155 | file_list = os.listdir(self.path) | |
|
|
156 | file_list.sort() | |
|
|
157 | if file_list: | |
|
|
158 | if self.filename: | |
|
|
159 | if file_list[-1] not in self.filename: | |
|
|
160 | return file_list[-1] | |
|
|
161 | else: | |
|
|
162 | continue | |
|
|
163 | return file_list[-1] | |
|
|
164 | return 0 | |
|
|
165 | ||
|
|
166 | def search_files(self, path, startDate, endDate, ext): | |
|
|
159 | dt = self.datatime + datetime.timedelta(1) | |
|
|
160 | filename = '{}.{}{}'.format(self.siteFile, dt.strftime('%Y%m%d'), self.ext) | |
|
|
161 | fullfilename = os.path.join(self.path, filename) | |
|
|
162 | if os.path.exists(fullfilename): | |
|
|
163 | return fullfilename, filename | |
|
|
164 | return None, filename | |
|
|
165 | ||
|
|
166 | ||
|
|
167 | def readFirstHeader(self): | |
|
|
167 | 168 | ''' |
|
|
168 | Searching for BLTR rawdata file in path | |
|
|
169 | Creating a list of file to proces included in [startDate,endDate] | |
|
|
170 | ||
|
|
171 | Input: | |
|
|
172 | path - Path to find BLTR rawdata files | |
|
|
173 | startDate - Select file from this date | |
|
|
174 | enDate - Select file until this date | |
|
|
175 | ext - Extension of the file to read | |
|
|
176 | 169 | ''' |
|
|
177 | ||
|
|
178 | log.success('Searching files in {} '.format(path), 'BLTRParamReader') | |
|
|
179 | foldercounter = 0 | |
|
|
180 | fileList0 = glob.glob1(path, "*%s" % ext) | |
|
|
181 | fileList0.sort() | |
|
|
182 | ||
|
|
183 | for thisFile in fileList0: | |
|
|
184 | year = thisFile[-14:-10] | |
|
|
185 | if not isNumber(year): | |
|
|
186 | continue | |
|
|
187 | ||
|
|
188 | month = thisFile[-10:-8] | |
|
|
189 | if not isNumber(month): | |
|
|
190 | continue | |
|
|
191 | ||
|
|
192 | day = thisFile[-8:-6] | |
|
|
193 | if not isNumber(day): | |
|
|
194 | continue | |
|
|
195 | 170 | |
|
|
196 | year, month, day = int(year), int(month), int(day) | |
|
|
197 | dateFile = datetime.date(year, month, day) | |
|
|
198 | ||
|
|
199 | if (startDate > dateFile) or (endDate < dateFile): | |
|
|
200 | continue | |
|
|
201 | ||
|
|
202 | yield thisFile | |
|
|
203 | ||
|
|
204 | return | |
|
|
205 | ||
|
|
206 | def setNextFile(self): | |
|
|
207 | ||
|
|
208 | if self.online: | |
|
|
209 | filename = self.search_last_file() | |
|
|
210 | if not filename: | |
|
|
211 | self.flagNoMoreFiles = 1 | |
|
|
212 | return 0 | |
|
|
213 | else: | |
|
|
214 | try: | |
|
|
215 | filename = next(self.fileList) | |
|
|
216 | except StopIteration: | |
|
|
217 | self.flagNoMoreFiles = 1 | |
|
|
218 | return 0 | |
|
|
219 | ||
|
|
220 | log.success('Opening {}'.format(filename), 'BLTRParamReader') | |
|
|
221 | ||
|
|
222 | dirname, name = os.path.split(filename) | |
|
|
223 | 171 | # 'peru2' ---> Piura - 'peru1' ---> Huancayo or Porcuya |
|
|
224 | self.siteFile = filename.split('.')[0] | |
|
|
225 | if self.filename is not None: | |
|
|
226 | self.fp.close() | |
|
|
227 | self.filename = os.path.join(self.path, filename) | |
|
|
228 | self.fp = open(self.filename, 'rb') | |
|
|
172 | self.siteFile = self.filename.split('/')[-1].split('.')[0] | |
|
|
229 | 173 | self.header_file = numpy.fromfile(self.fp, FILE_HEADER_STRUCTURE, 1) |
|
|
230 | 174 | self.nrecords = self.header_file['nrec'][0] |
|
|
231 | self.sizeOfFile = os.path.getsize(self.filename) | |
|
|
232 | 175 | self.counter_records = 0 |
|
|
233 | 176 | self.flagIsNewFile = 0 |
|
|
234 | 177 | self.fileIndex += 1 |
|
|
235 | 178 | |
|
|
236 | return 1 | |
|
|
237 | ||
|
|
238 | 179 | def readNextBlock(self): |
|
|
239 | 180 | |
|
|
240 | 181 | while True: |
|
|
241 | 182 | if not self.online and self.counter_records == self.nrecords: |
|
|
242 | 183 | self.flagIsNewFile = 1 |
|
|
243 | 184 | if not self.setNextFile(): |
|
|
244 | 185 | return 0 |
|
|
245 | ||
|
|
246 | 186 | try: |
|
|
247 | 187 | pointer = self.fp.tell() |
|
|
248 | 188 | self.readBlock() |
|
|
249 | 189 | except: |
|
|
250 | 190 | if self.online and self.waitDataBlock(pointer, 38512) == 1: |
|
|
251 | 191 | continue |
|
|
252 | 192 | else: |
|
|
253 | 193 | if not self.setNextFile(): |
|
|
254 | 194 | return 0 |
|
|
255 | 195 | |
|
|
256 | 196 | if (self.datatime < datetime.datetime.combine(self.startDate, self.startTime)) or \ |
|
|
257 | 197 | (self.datatime > datetime.datetime.combine(self.endDate, self.endTime)): |
|
|
258 | 198 | log.warning( |
|
|
259 | 199 | 'Reading Record No. {}/{} -> {} [Skipping]'.format( |
|
|
260 | 200 | self.counter_records, |
|
|
261 | 201 | self.nrecords, |
|
|
262 | 202 | self.datatime.ctime()), |
|
|
263 | 203 | 'BLTRParamReader') |
|
|
264 | 204 | continue |
|
|
265 | 205 | break |
|
|
266 | 206 | |
|
|
267 | 207 | log.log('Reading Record No. {} -> {}'.format( |
|
|
268 | 208 | self.counter_records, |
|
|
269 | # self.nrecords, | |
|
|
270 | 209 | self.datatime.ctime()), 'BLTRParamReader') |
|
|
271 | 210 | |
|
|
272 | 211 | return 1 |
|
|
273 | 212 | |
|
|
274 | 213 | def readBlock(self): |
|
|
275 | 214 | |
|
|
276 | 215 | pointer = self.fp.tell() |
|
|
277 | 216 | header_rec = numpy.fromfile(self.fp, REC_HEADER_STRUCTURE, 1) |
|
|
278 | 217 | self.nchannels = int(header_rec['nchan'][0] / 2) |
|
|
279 | 218 | self.kchan = header_rec['nrxs'][0] |
|
|
280 | 219 | self.nmodes = header_rec['nmodes'][0] |
|
|
281 | 220 | self.nranges = header_rec['nranges'][0] |
|
|
282 | 221 | self.fp.seek(pointer) |
|
|
283 | 222 | self.height = numpy.empty((self.nmodes, self.nranges)) |
|
|
284 | 223 | self.snr = numpy.empty((self.nmodes, int(self.nchannels), self.nranges)) |
|
|
285 | 224 | self.buffer = numpy.empty((self.nmodes, 3, self.nranges)) |
|
|
286 | 225 | self.flagDiscontinuousBlock = 0 |
|
|
287 | 226 | |
|
|
288 | 227 | for mode in range(self.nmodes): |
|
|
289 | 228 | self.readHeader() |
|
|
290 | 229 | data = self.readData() |
|
|
291 | 230 | self.height[mode] = (data[0] - self.correction) / 1000. |
|
|
292 | 231 | self.buffer[mode] = data[1] |
|
|
293 | 232 | self.snr[mode] = data[2] |
|
|
294 | 233 | |
|
|
295 | 234 | self.counter_records = self.counter_records + self.nmodes |
|
|
296 | 235 | |
|
|
297 | 236 | return |
|
|
298 | 237 | |
|
|
299 | 238 | def readHeader(self): |
|
|
300 | 239 | ''' |
|
|
301 | 240 | RecordHeader of BLTR rawdata file |
|
|
302 | 241 | ''' |
|
|
303 | 242 | |
|
|
304 | 243 | header_structure = numpy.dtype( |
|
|
305 | 244 | REC_HEADER_STRUCTURE.descr + [ |
|
|
306 | 245 | ('antenna_coord', 'f4', (2, int(self.nchannels))), |
|
|
307 | 246 | ('rx_gains', 'u4', (int(self.nchannels),)), |
|
|
308 | 247 | ('rx_analysis', 'u4', (int(self.nchannels),)) |
|
|
309 | 248 | ] |
|
|
310 | 249 | ) |
|
|
311 | 250 | |
|
|
312 | 251 | self.header_rec = numpy.fromfile(self.fp, header_structure, 1) |
|
|
313 | 252 | self.lat = self.header_rec['lat'][0] |
|
|
314 | 253 | self.lon = self.header_rec['lon'][0] |
|
|
315 | 254 | self.delta = self.header_rec['delta_r'][0] |
|
|
316 | 255 | self.correction = self.header_rec['dmode_rngcorr'][0] |
|
|
317 | 256 | self.imode = self.header_rec['dmode_index'][0] |
|
|
318 | 257 | self.antenna = self.header_rec['antenna_coord'] |
|
|
319 | 258 | self.rx_gains = self.header_rec['rx_gains'] |
|
|
320 | 259 | self.time = self.header_rec['time'][0] |
|
|
321 | 260 | dt = datetime.datetime.utcfromtimestamp(self.time) |
|
|
322 | 261 | if dt.date()>self.datatime.date(): |
|
|
323 | 262 | self.flagDiscontinuousBlock = 1 |
|
|
324 | 263 | self.datatime = dt |
|
|
325 | 264 | |
|
|
326 | 265 | def readData(self): |
|
|
327 | 266 | ''' |
|
|
328 | 267 | Reading and filtering data block record of BLTR rawdata file, |
|
|
329 | 268 | filtering is according to status_value. |
|
|
330 | 269 | |
|
|
331 | 270 | Input: |
|
|
332 | 271 | status_value - Array data is set to NAN for values that are not |
|
|
333 | 272 | equal to status_value |
|
|
334 | 273 | |
|
|
335 | 274 | ''' |
|
|
336 | 275 | self.nchannels = int(self.nchannels) |
|
|
337 | 276 | |
|
|
338 | 277 | data_structure = numpy.dtype( |
|
|
339 | 278 | DATA_STRUCTURE.descr + [ |
|
|
340 | 279 | ('rx_saturation', 'u4', (self.nchannels,)), |
|
|
341 | 280 | ('chan_offset', 'u4', (2 * self.nchannels,)), |
|
|
342 | 281 | ('rx_amp', 'u4', (self.nchannels,)), |
|
|
343 | 282 | ('rx_snr', 'f4', (self.nchannels,)), |
|
|
344 | 283 | ('cross_snr', 'f4', (self.kchan,)), |
|
|
345 | 284 | ('sea_power_relative', 'f4', (self.kchan,))] |
|
|
346 | 285 | ) |
|
|
347 | 286 | |
|
|
348 | 287 | data = numpy.fromfile(self.fp, data_structure, self.nranges) |
|
|
349 | 288 | |
|
|
350 | 289 | height = data['range'] |
|
|
351 | 290 | winds = numpy.array( |
|
|
352 | 291 | (data['zonal'], data['meridional'], data['vertical'])) |
|
|
353 | 292 | snr = data['rx_snr'].T |
|
|
354 | 293 | |
|
|
355 | 294 | winds[numpy.where(winds == -9999.)] = numpy.nan |
|
|
356 | 295 | winds[:, numpy.where(data['status'] != self.status_value)] = numpy.nan |
|
|
357 | 296 | snr[numpy.where(snr == -9999.)] = numpy.nan |
|
|
358 | 297 | snr[:, numpy.where(data['status'] != self.status_value)] = numpy.nan |
|
|
359 | 298 | snr = numpy.power(10, snr / 10) |
|
|
360 | 299 | |
|
|
361 | 300 | return height, winds, snr |
|
|
362 | 301 | |
|
|
363 | 302 | def set_output(self): |
|
|
364 | 303 | ''' |
|
|
365 | 304 | Storing data from databuffer to dataOut object |
|
|
366 | 305 | ''' |
|
|
367 | 306 | |
|
|
368 | 307 | self.dataOut.data_SNR = self.snr |
|
|
369 | 308 | self.dataOut.height = self.height |
|
|
370 | 309 | self.dataOut.data = self.buffer |
|
|
371 | 310 | self.dataOut.utctimeInit = self.time |
|
|
372 | 311 | self.dataOut.utctime = self.dataOut.utctimeInit |
|
|
373 | 312 | self.dataOut.useLocalTime = False |
|
|
374 | 313 | self.dataOut.paramInterval = 157 |
|
|
375 | self.dataOut.timezone = self.timezone | |
|
|
376 | 314 | self.dataOut.site = self.siteFile |
|
|
377 | 315 | self.dataOut.nrecords = self.nrecords / self.nmodes |
|
|
378 | self.dataOut.sizeOfFile = self.sizeOfFile | |
|
|
379 | 316 | self.dataOut.lat = self.lat |
|
|
380 | 317 | self.dataOut.lon = self.lon |
|
|
381 | 318 | self.dataOut.channelList = list(range(self.nchannels)) |
|
|
382 | 319 | self.dataOut.kchan = self.kchan |
|
|
383 | 320 | self.dataOut.delta = self.delta |
|
|
384 | 321 | self.dataOut.correction = self.correction |
|
|
385 | 322 | self.dataOut.nmodes = self.nmodes |
|
|
386 | 323 | self.dataOut.imode = self.imode |
|
|
387 | 324 | self.dataOut.antenna = self.antenna |
|
|
388 | 325 | self.dataOut.rx_gains = self.rx_gains |
|
|
389 | 326 | self.dataOut.flagNoData = False |
|
|
390 | 327 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
391 | 328 | |
|
|
392 | 329 | def getData(self): |
|
|
393 | 330 | ''' |
|
|
394 | 331 | Storing data from databuffer to dataOut object |
|
|
395 | 332 | ''' |
|
|
396 | 333 | if self.flagNoMoreFiles: |
|
|
397 | 334 | self.dataOut.flagNoData = True |
|
|
398 | raise schainpy.admin.SchainError('No More files to read') | |
|
|
335 | return 0 | |
|
|
399 | 336 | |
|
|
400 | 337 | if not self.readNextBlock(): |
|
|
401 | 338 | self.dataOut.flagNoData = True |
|
|
402 | raise schainpy.admin.SchainError('Time for wait new file reach!!!') | |
|
|
339 | return 0 | |
|
|
403 | 340 | |
|
|
404 | 341 | self.set_output() |
|
|
405 | 342 | |
|
|
406 | 343 | return 1 |
|
|
407 | No newline at end of file | |
|
|
344 | ||
|
|
345 | def run(self, **kwargs): | |
|
|
346 | ''' | |
|
|
347 | ''' | |
|
|
348 | ||
|
|
349 | if not(self.isConfig): | |
|
|
350 | self.setup(**kwargs) | |
|
|
351 | self.isConfig = True | |
|
|
352 | ||
|
|
353 | self.getData() | |
|
|
354 | ||
|
|
355 | return No newline at end of file | |
| @@ -1,1575 +1,1577 | |||
|
|
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 zmq |
|
|
16 | 16 | |
|
|
17 | 17 | from schainpy.model.proc.jroproc_base import Operation, MPDecorator |
|
|
18 | 18 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
19 | 19 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width |
|
|
20 | 20 | from schainpy.utils import log |
|
|
21 | 21 | import schainpy.admin |
|
|
22 | 22 | |
|
|
23 | 23 | LOCALTIME = True |
|
|
24 | 24 | DT_DIRECTIVES = { |
|
|
25 | 25 | '%Y': 4, |
|
|
26 | 26 | '%y': 2, |
|
|
27 | 27 | '%m': 2, |
|
|
28 | 28 | '%d': 2, |
|
|
29 | 29 | '%j': 3, |
|
|
30 | 30 | '%H': 2, |
|
|
31 | 31 | '%M': 2, |
|
|
32 | 32 | '%S': 2, |
|
|
33 | 33 | '%f': 6 |
|
|
34 | 34 | } |
|
|
35 | 35 | |
|
|
36 | 36 | |
|
|
37 | 37 | def isNumber(cad): |
|
|
38 | 38 | """ |
|
|
39 | 39 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
40 | 40 | |
|
|
41 | 41 | Excepciones: |
|
|
42 | 42 | Si un determinado string no puede ser convertido a numero |
|
|
43 | 43 | Input: |
|
|
44 | 44 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
45 | 45 | |
|
|
46 | 46 | Return: |
|
|
47 | 47 | True : si el string es uno numerico |
|
|
48 | 48 | False : no es un string numerico |
|
|
49 | 49 | """ |
|
|
50 | 50 | try: |
|
|
51 | 51 | float(cad) |
|
|
52 | 52 | return True |
|
|
53 | 53 | except: |
|
|
54 | 54 | return False |
|
|
55 | 55 | |
|
|
56 | 56 | |
|
|
57 | 57 | def isFileInEpoch(filename, startUTSeconds, endUTSeconds): |
|
|
58 | 58 | """ |
|
|
59 | 59 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|
60 | 60 | |
|
|
61 | 61 | Inputs: |
|
|
62 | 62 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
63 | 63 | |
|
|
64 | 64 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|
65 | 65 | segundos contados desde 01/01/1970. |
|
|
66 | 66 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|
67 | 67 | segundos contados desde 01/01/1970. |
|
|
68 | 68 | |
|
|
69 | 69 | Return: |
|
|
70 | 70 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
71 | 71 | fecha especificado, de lo contrario retorna False. |
|
|
72 | 72 | |
|
|
73 | 73 | Excepciones: |
|
|
74 | 74 | Si el archivo no existe o no puede ser abierto |
|
|
75 | 75 | Si la cabecera no puede ser leida. |
|
|
76 | 76 | |
|
|
77 | 77 | """ |
|
|
78 | 78 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
79 | 79 | |
|
|
80 | 80 | try: |
|
|
81 | 81 | fp = open(filename, 'rb') |
|
|
82 | 82 | except IOError: |
|
|
83 | 83 | print("The file %s can't be opened" % (filename)) |
|
|
84 | 84 | return 0 |
|
|
85 | 85 | |
|
|
86 | 86 | sts = basicHeaderObj.read(fp) |
|
|
87 | 87 | fp.close() |
|
|
88 | 88 | |
|
|
89 | 89 | if not(sts): |
|
|
90 | 90 | print("Skipping the file %s because it has not a valid header" % (filename)) |
|
|
91 | 91 | return 0 |
|
|
92 | 92 | |
|
|
93 | 93 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|
94 | 94 | return 0 |
|
|
95 | 95 | |
|
|
96 | 96 | return 1 |
|
|
97 | 97 | |
|
|
98 | 98 | |
|
|
99 | 99 | def isTimeInRange(thisTime, startTime, endTime): |
|
|
100 | 100 | if endTime >= startTime: |
|
|
101 | 101 | if (thisTime < startTime) or (thisTime > endTime): |
|
|
102 | 102 | return 0 |
|
|
103 | 103 | return 1 |
|
|
104 | 104 | else: |
|
|
105 | 105 | if (thisTime < startTime) and (thisTime > endTime): |
|
|
106 | 106 | return 0 |
|
|
107 | 107 | return 1 |
|
|
108 | 108 | |
|
|
109 | 109 | |
|
|
110 | 110 | def isFileInTimeRange(filename, startDate, endDate, startTime, endTime): |
|
|
111 | 111 | """ |
|
|
112 | 112 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
113 | 113 | |
|
|
114 | 114 | Inputs: |
|
|
115 | 115 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
116 | 116 | |
|
|
117 | 117 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
118 | 118 | |
|
|
119 | 119 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
120 | 120 | |
|
|
121 | 121 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|
122 | 122 | |
|
|
123 | 123 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|
124 | 124 | |
|
|
125 | 125 | Return: |
|
|
126 | 126 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
127 | 127 | fecha especificado, de lo contrario retorna False. |
|
|
128 | 128 | |
|
|
129 | 129 | Excepciones: |
|
|
130 | 130 | Si el archivo no existe o no puede ser abierto |
|
|
131 | 131 | Si la cabecera no puede ser leida. |
|
|
132 | 132 | |
|
|
133 | 133 | """ |
|
|
134 | 134 | |
|
|
135 | 135 | try: |
|
|
136 | 136 | fp = open(filename, 'rb') |
|
|
137 | 137 | except IOError: |
|
|
138 | 138 | print("The file %s can't be opened" % (filename)) |
|
|
139 | 139 | return None |
|
|
140 | 140 | |
|
|
141 | 141 | firstBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
142 | 142 | systemHeaderObj = SystemHeader() |
|
|
143 | 143 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
144 | 144 | processingHeaderObj = ProcessingHeader() |
|
|
145 | 145 | |
|
|
146 | 146 | lastBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
147 | 147 | |
|
|
148 | 148 | sts = firstBasicHeaderObj.read(fp) |
|
|
149 | 149 | |
|
|
150 | 150 | if not(sts): |
|
|
151 | 151 | print("[Reading] Skipping the file %s because it has not a valid header" % (filename)) |
|
|
152 | 152 | return None |
|
|
153 | 153 | |
|
|
154 | 154 | if not systemHeaderObj.read(fp): |
|
|
155 | 155 | return None |
|
|
156 | 156 | |
|
|
157 | 157 | if not radarControllerHeaderObj.read(fp): |
|
|
158 | 158 | return None |
|
|
159 | 159 | |
|
|
160 | 160 | if not processingHeaderObj.read(fp): |
|
|
161 | 161 | return None |
|
|
162 | 162 | |
|
|
163 | 163 | filesize = os.path.getsize(filename) |
|
|
164 | 164 | |
|
|
165 | 165 | offset = processingHeaderObj.blockSize + 24 # header size |
|
|
166 | 166 | |
|
|
167 | 167 | if filesize <= offset: |
|
|
168 | 168 | print("[Reading] %s: This file has not enough data" % filename) |
|
|
169 | 169 | return None |
|
|
170 | 170 | |
|
|
171 | 171 | fp.seek(-offset, 2) |
|
|
172 | 172 | |
|
|
173 | 173 | sts = lastBasicHeaderObj.read(fp) |
|
|
174 | 174 | |
|
|
175 | 175 | fp.close() |
|
|
176 | 176 | |
|
|
177 | 177 | thisDatetime = lastBasicHeaderObj.datatime |
|
|
178 | 178 | thisTime_last_block = thisDatetime.time() |
|
|
179 | 179 | |
|
|
180 | 180 | thisDatetime = firstBasicHeaderObj.datatime |
|
|
181 | 181 | thisDate = thisDatetime.date() |
|
|
182 | 182 | thisTime_first_block = thisDatetime.time() |
|
|
183 | 183 | |
|
|
184 | 184 | # General case |
|
|
185 | 185 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
|
|
186 | 186 | #-----------o----------------------------o----------- |
|
|
187 | 187 | # startTime endTime |
|
|
188 | 188 | |
|
|
189 | 189 | if endTime >= startTime: |
|
|
190 | 190 | if (thisTime_last_block < startTime) or (thisTime_first_block > endTime): |
|
|
191 | 191 | return None |
|
|
192 | 192 | |
|
|
193 | 193 | return thisDatetime |
|
|
194 | 194 | |
|
|
195 | 195 | # If endTime < startTime then endTime belongs to the next day |
|
|
196 | 196 | |
|
|
197 | 197 | #<<<<<<<<<<<o o>>>>>>>>>>> |
|
|
198 | 198 | #-----------o----------------------------o----------- |
|
|
199 | 199 | # endTime startTime |
|
|
200 | 200 | |
|
|
201 | 201 | if (thisDate == startDate) and (thisTime_last_block < startTime): |
|
|
202 | 202 | return None |
|
|
203 | 203 | |
|
|
204 | 204 | if (thisDate == endDate) and (thisTime_first_block > endTime): |
|
|
205 | 205 | return None |
|
|
206 | 206 | |
|
|
207 | 207 | if (thisTime_last_block < startTime) and (thisTime_first_block > endTime): |
|
|
208 | 208 | return None |
|
|
209 | 209 | |
|
|
210 | 210 | return thisDatetime |
|
|
211 | 211 | |
|
|
212 | 212 | |
|
|
213 | 213 | def isFolderInDateRange(folder, startDate=None, endDate=None): |
|
|
214 | 214 | """ |
|
|
215 | 215 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
216 | 216 | |
|
|
217 | 217 | Inputs: |
|
|
218 | 218 | folder : nombre completo del directorio. |
|
|
219 | 219 | Su formato deberia ser "/path_root/?YYYYDDD" |
|
|
220 | 220 | |
|
|
221 | 221 | siendo: |
|
|
222 | 222 | YYYY : Anio (ejemplo 2015) |
|
|
223 | 223 | DDD : Dia del anio (ejemplo 305) |
|
|
224 | 224 | |
|
|
225 | 225 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
226 | 226 | |
|
|
227 | 227 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
228 | 228 | |
|
|
229 | 229 | Return: |
|
|
230 | 230 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
231 | 231 | fecha especificado, de lo contrario retorna False. |
|
|
232 | 232 | Excepciones: |
|
|
233 | 233 | Si el directorio no tiene el formato adecuado |
|
|
234 | 234 | """ |
|
|
235 | 235 | |
|
|
236 | 236 | basename = os.path.basename(folder) |
|
|
237 | 237 | |
|
|
238 | 238 | if not isRadarFolder(basename): |
|
|
239 | 239 | print("The folder %s has not the rigth format" % folder) |
|
|
240 | 240 | return 0 |
|
|
241 | 241 | |
|
|
242 | 242 | if startDate and endDate: |
|
|
243 | 243 | thisDate = getDateFromRadarFolder(basename) |
|
|
244 | 244 | |
|
|
245 | 245 | if thisDate < startDate: |
|
|
246 | 246 | return 0 |
|
|
247 | 247 | |
|
|
248 | 248 | if thisDate > endDate: |
|
|
249 | 249 | return 0 |
|
|
250 | 250 | |
|
|
251 | 251 | return 1 |
|
|
252 | 252 | |
|
|
253 | 253 | |
|
|
254 | 254 | def isFileInDateRange(filename, startDate=None, endDate=None): |
|
|
255 | 255 | """ |
|
|
256 | 256 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
257 | 257 | |
|
|
258 | 258 | Inputs: |
|
|
259 | 259 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
260 | 260 | |
|
|
261 | 261 | Su formato deberia ser "?YYYYDDDsss" |
|
|
262 | 262 | |
|
|
263 | 263 | siendo: |
|
|
264 | 264 | YYYY : Anio (ejemplo 2015) |
|
|
265 | 265 | DDD : Dia del anio (ejemplo 305) |
|
|
266 | 266 | sss : set |
|
|
267 | 267 | |
|
|
268 | 268 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
269 | 269 | |
|
|
270 | 270 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
271 | 271 | |
|
|
272 | 272 | Return: |
|
|
273 | 273 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
274 | 274 | fecha especificado, de lo contrario retorna False. |
|
|
275 | 275 | Excepciones: |
|
|
276 | 276 | Si el archivo no tiene el formato adecuado |
|
|
277 | 277 | """ |
|
|
278 | 278 | |
|
|
279 | 279 | basename = os.path.basename(filename) |
|
|
280 | 280 | |
|
|
281 | 281 | if not isRadarFile(basename): |
|
|
282 | 282 | print("The filename %s has not the rigth format" % filename) |
|
|
283 | 283 | return 0 |
|
|
284 | 284 | |
|
|
285 | 285 | if startDate and endDate: |
|
|
286 | 286 | thisDate = getDateFromRadarFile(basename) |
|
|
287 | 287 | |
|
|
288 | 288 | if thisDate < startDate: |
|
|
289 | 289 | return 0 |
|
|
290 | 290 | |
|
|
291 | 291 | if thisDate > endDate: |
|
|
292 | 292 | return 0 |
|
|
293 | 293 | |
|
|
294 | 294 | return 1 |
|
|
295 | 295 | |
|
|
296 | 296 | |
|
|
297 | 297 | def getFileFromSet(path, ext, set): |
|
|
298 | 298 | validFilelist = [] |
|
|
299 | 299 | fileList = os.listdir(path) |
|
|
300 | 300 | |
|
|
301 | 301 | # 0 1234 567 89A BCDE |
|
|
302 | 302 | # H YYYY DDD SSS .ext |
|
|
303 | 303 | |
|
|
304 | 304 | for thisFile in fileList: |
|
|
305 | 305 | try: |
|
|
306 | 306 | year = int(thisFile[1:5]) |
|
|
307 | 307 | doy = int(thisFile[5:8]) |
|
|
308 | 308 | except: |
|
|
309 | 309 | continue |
|
|
310 | 310 | |
|
|
311 | 311 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
312 | 312 | continue |
|
|
313 | 313 | |
|
|
314 | 314 | validFilelist.append(thisFile) |
|
|
315 | 315 | |
|
|
316 | 316 | myfile = fnmatch.filter( |
|
|
317 | 317 | validFilelist, '*%4.4d%3.3d%3.3d*' % (year, doy, set)) |
|
|
318 | 318 | |
|
|
319 | 319 | if len(myfile) != 0: |
|
|
320 | 320 | return myfile[0] |
|
|
321 | 321 | else: |
|
|
322 | 322 | filename = '*%4.4d%3.3d%3.3d%s' % (year, doy, set, ext.lower()) |
|
|
323 | 323 | print('the filename %s does not exist' % filename) |
|
|
324 | 324 | print('...going to the last file: ') |
|
|
325 | 325 | |
|
|
326 | 326 | if validFilelist: |
|
|
327 | 327 | validFilelist = sorted(validFilelist, key=str.lower) |
|
|
328 | 328 | return validFilelist[-1] |
|
|
329 | 329 | |
|
|
330 | 330 | return None |
|
|
331 | 331 | |
|
|
332 | 332 | |
|
|
333 | 333 | def getlastFileFromPath(path, ext): |
|
|
334 | 334 | """ |
|
|
335 | 335 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|
336 | 336 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|
337 | 337 | |
|
|
338 | 338 | Input: |
|
|
339 | 339 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|
340 | 340 | ext : extension de los files contenidos en una carpeta |
|
|
341 | 341 | |
|
|
342 | 342 | Return: |
|
|
343 | 343 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
344 | 344 | """ |
|
|
345 | 345 | validFilelist = [] |
|
|
346 | 346 | fileList = os.listdir(path) |
|
|
347 | 347 | |
|
|
348 | 348 | # 0 1234 567 89A BCDE |
|
|
349 | 349 | # H YYYY DDD SSS .ext |
|
|
350 | 350 | |
|
|
351 | 351 | for thisFile in fileList: |
|
|
352 | 352 | |
|
|
353 | 353 | year = thisFile[1:5] |
|
|
354 | 354 | if not isNumber(year): |
|
|
355 | 355 | continue |
|
|
356 | 356 | |
|
|
357 | 357 | doy = thisFile[5:8] |
|
|
358 | 358 | if not isNumber(doy): |
|
|
359 | 359 | continue |
|
|
360 | 360 | |
|
|
361 | 361 | year = int(year) |
|
|
362 | 362 | doy = int(doy) |
|
|
363 | 363 | |
|
|
364 | 364 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
365 | 365 | continue |
|
|
366 | 366 | |
|
|
367 | 367 | validFilelist.append(thisFile) |
|
|
368 | 368 | |
|
|
369 | 369 | if validFilelist: |
|
|
370 | 370 | validFilelist = sorted(validFilelist, key=str.lower) |
|
|
371 | 371 | return validFilelist[-1] |
|
|
372 | 372 | |
|
|
373 | 373 | return None |
|
|
374 | 374 | |
|
|
375 | 375 | |
|
|
376 | 376 | def isRadarFolder(folder): |
|
|
377 | 377 | try: |
|
|
378 | 378 | year = int(folder[1:5]) |
|
|
379 | 379 | doy = int(folder[5:8]) |
|
|
380 | 380 | except: |
|
|
381 | 381 | return 0 |
|
|
382 | 382 | |
|
|
383 | 383 | return 1 |
|
|
384 | 384 | |
|
|
385 | 385 | |
|
|
386 | 386 | def isRadarFile(file): |
|
|
387 | 387 | try: |
|
|
388 | 388 | year = int(file[1:5]) |
|
|
389 | 389 | doy = int(file[5:8]) |
|
|
390 | 390 | set = int(file[8:11]) |
|
|
391 | 391 | except: |
|
|
392 | 392 | return 0 |
|
|
393 | 393 | |
|
|
394 | 394 | return 1 |
|
|
395 | 395 | |
|
|
396 | 396 | |
|
|
397 | 397 | def getDateFromRadarFile(file): |
|
|
398 | 398 | try: |
|
|
399 | 399 | year = int(file[1:5]) |
|
|
400 | 400 | doy = int(file[5:8]) |
|
|
401 | 401 | set = int(file[8:11]) |
|
|
402 | 402 | except: |
|
|
403 | 403 | return None |
|
|
404 | 404 | |
|
|
405 | 405 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy - 1) |
|
|
406 | 406 | return thisDate |
|
|
407 | 407 | |
|
|
408 | 408 | |
|
|
409 | 409 | def getDateFromRadarFolder(folder): |
|
|
410 | 410 | try: |
|
|
411 | 411 | year = int(folder[1:5]) |
|
|
412 | 412 | doy = int(folder[5:8]) |
|
|
413 | 413 | except: |
|
|
414 | 414 | return None |
|
|
415 | 415 | |
|
|
416 | 416 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy - 1) |
|
|
417 | 417 | return thisDate |
|
|
418 | 418 | |
|
|
419 | 419 | def parse_format(s, fmt): |
|
|
420 | 420 | |
|
|
421 | 421 | for i in range(fmt.count('%')): |
|
|
422 | 422 | x = fmt.index('%') |
|
|
423 | 423 | d = DT_DIRECTIVES[fmt[x:x+2]] |
|
|
424 | 424 | fmt = fmt.replace(fmt[x:x+2], s[x:x+d]) |
|
|
425 | 425 | return fmt |
|
|
426 | 426 | |
|
|
427 | 427 | class Reader(object): |
|
|
428 | 428 | |
|
|
429 | 429 | c = 3E8 |
|
|
430 | 430 | isConfig = False |
|
|
431 | 431 | dtype = None |
|
|
432 | 432 | pathList = [] |
|
|
433 | 433 | filenameList = [] |
|
|
434 | 434 | datetimeList = [] |
|
|
435 | 435 | filename = None |
|
|
436 | 436 | ext = None |
|
|
437 | 437 | flagIsNewFile = 1 |
|
|
438 | 438 | flagDiscontinuousBlock = 0 |
|
|
439 | 439 | flagIsNewBlock = 0 |
|
|
440 | 440 | flagNoMoreFiles = 0 |
|
|
441 | 441 | fp = None |
|
|
442 | 442 | firstHeaderSize = 0 |
|
|
443 | 443 | basicHeaderSize = 24 |
|
|
444 | 444 | versionFile = 1103 |
|
|
445 | 445 | fileSize = None |
|
|
446 | 446 | fileSizeByHeader = None |
|
|
447 | 447 | fileIndex = -1 |
|
|
448 | 448 | profileIndex = None |
|
|
449 | 449 | blockIndex = 0 |
|
|
450 | 450 | nTotalBlocks = 0 |
|
|
451 | 451 | maxTimeStep = 30 |
|
|
452 | 452 | lastUTTime = None |
|
|
453 | 453 | datablock = None |
|
|
454 | 454 | dataOut = None |
|
|
455 | 455 | getByBlock = False |
|
|
456 | 456 | path = None |
|
|
457 | 457 | startDate = None |
|
|
458 | 458 | endDate = None |
|
|
459 | 459 | startTime = datetime.time(0, 0, 0) |
|
|
460 | 460 | endTime = datetime.time(23, 59, 59) |
|
|
461 | 461 | set = None |
|
|
462 | 462 | expLabel = "" |
|
|
463 | 463 | online = False |
|
|
464 | 464 | delay = 60 |
|
|
465 | 465 | nTries = 3 # quantity tries |
|
|
466 | 466 | nFiles = 3 # number of files for searching |
|
|
467 | 467 | walk = True |
|
|
468 | 468 | getblock = False |
|
|
469 | 469 | nTxs = 1 |
|
|
470 | 470 | realtime = False |
|
|
471 | 471 | blocksize = 0 |
|
|
472 | 472 | blocktime = None |
|
|
473 | 473 | warnings = True |
|
|
474 | 474 | verbose = True |
|
|
475 | 475 | server = None |
|
|
476 | 476 | format = None |
|
|
477 | 477 | oneDDict = None |
|
|
478 | 478 | twoDDict = None |
|
|
479 | 479 | independentParam = None |
|
|
480 | 480 | filefmt = None |
|
|
481 | 481 | folderfmt = None |
|
|
482 | 482 | open_file = open |
|
|
483 | 483 | open_mode = 'rb' |
|
|
484 | 484 | |
|
|
485 | 485 | def run(self): |
|
|
486 | 486 | |
|
|
487 | 487 | raise NotImplementedError |
|
|
488 | 488 | |
|
|
489 | 489 | def getAllowedArgs(self): |
|
|
490 | 490 | if hasattr(self, '__attrs__'): |
|
|
491 | 491 | return self.__attrs__ |
|
|
492 | 492 | else: |
|
|
493 | 493 | return inspect.getargspec(self.run).args |
|
|
494 | 494 | |
|
|
495 | 495 | def set_kwargs(self, **kwargs): |
|
|
496 | 496 | |
|
|
497 | 497 | for key, value in kwargs.items(): |
|
|
498 | 498 | setattr(self, key, value) |
|
|
499 | 499 | |
|
|
500 | 500 | def find_folders(self, path, startDate, endDate, folderfmt, last=False): |
|
|
501 | 501 | |
|
|
502 | 502 | folders = [x for f in path.split(',') |
|
|
503 | 503 | for x in os.listdir(f) if os.path.isdir(os.path.join(f, x))] |
|
|
504 | 504 | folders.sort() |
|
|
505 | 505 | |
|
|
506 | 506 | if last: |
|
|
507 | 507 | folders = [folders[-1]] |
|
|
508 | 508 | |
|
|
509 | 509 | for folder in folders: |
|
|
510 | 510 | try: |
|
|
511 | 511 | dt = datetime.datetime.strptime(parse_format(folder, folderfmt), folderfmt).date() |
|
|
512 | 512 | if dt >= startDate and dt <= endDate: |
|
|
513 | 513 | yield os.path.join(path, folder) |
|
|
514 | 514 | else: |
|
|
515 | 515 | log.log('Skiping folder {}'.format(folder), self.name) |
|
|
516 | 516 | except Exception as e: |
|
|
517 | 517 | log.log('Skiping folder {}'.format(folder), self.name) |
|
|
518 | 518 | continue |
|
|
519 | 519 | return |
|
|
520 | 520 | |
|
|
521 | 521 | def find_files(self, folders, ext, filefmt, startDate=None, endDate=None, |
|
|
522 | 522 | expLabel='', last=False): |
|
|
523 | 523 | |
|
|
524 | 524 | for path in folders: |
|
|
525 | 525 | files = glob.glob1(path, '*{}'.format(ext)) |
|
|
526 | 526 | files.sort() |
|
|
527 | 527 | if last: |
|
|
528 | 528 | if files: |
|
|
529 | 529 | fo = files[-1] |
|
|
530 | 530 | try: |
|
|
531 |
dt = datetime.datetime.strptime(parse_format(fo, filefmt), filefmt).date() |
|
|
|
531 | dt = datetime.datetime.strptime(parse_format(fo, filefmt), filefmt).date() | |
|
|
532 | 532 | yield os.path.join(path, expLabel, fo) |
|
|
533 | 533 | except Exception as e: |
|
|
534 | 534 | pass |
|
|
535 | 535 | return |
|
|
536 | 536 | else: |
|
|
537 | 537 | return |
|
|
538 | 538 | |
|
|
539 | 539 | for fo in files: |
|
|
540 | 540 | try: |
|
|
541 | 541 | dt = datetime.datetime.strptime(parse_format(fo, filefmt), filefmt).date() |
|
|
542 | 542 | if dt >= startDate and dt <= endDate: |
|
|
543 | 543 | yield os.path.join(path, expLabel, fo) |
|
|
544 | 544 | else: |
|
|
545 | 545 | log.log('Skiping file {}'.format(fo), self.name) |
|
|
546 | 546 | except Exception as e: |
|
|
547 | 547 | log.log('Skiping file {}'.format(fo), self.name) |
|
|
548 | 548 | continue |
|
|
549 | 549 | |
|
|
550 | 550 | def searchFilesOffLine(self, path, startDate, endDate, |
|
|
551 | 551 | expLabel, ext, walk, |
|
|
552 | 552 | filefmt, folderfmt): |
|
|
553 | 553 | """Search files in offline mode for the given arguments |
|
|
554 | 554 | |
|
|
555 | 555 | Return: |
|
|
556 | 556 | Generator of files |
|
|
557 | 557 | """ |
|
|
558 | 558 | |
|
|
559 | 559 | if walk: |
|
|
560 | 560 | folders = self.find_folders( |
|
|
561 | 561 | path, startDate, endDate, folderfmt) |
|
|
562 | 562 | else: |
|
|
563 | 563 | folders = path.split(',') |
|
|
564 | 564 | |
|
|
565 | 565 | return self.find_files( |
|
|
566 | 566 | folders, ext, filefmt, startDate, endDate, expLabel) |
|
|
567 | 567 | |
|
|
568 | 568 | def searchFilesOnLine(self, path, startDate, endDate, |
|
|
569 | 569 | expLabel, ext, walk, |
|
|
570 | 570 | filefmt, folderfmt): |
|
|
571 | 571 | """Search for the last file of the last folder |
|
|
572 | 572 | |
|
|
573 | 573 | Arguments: |
|
|
574 | 574 | path : carpeta donde estan contenidos los files que contiene data |
|
|
575 | 575 | expLabel : Nombre del subexperimento (subfolder) |
|
|
576 | 576 | ext : extension de los files |
|
|
577 | 577 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
578 | 578 | |
|
|
579 | 579 | Return: |
|
|
580 | 580 | generator with the full path of last filename |
|
|
581 | 581 | """ |
|
|
582 | 582 | |
|
|
583 | 583 | if walk: |
|
|
584 | 584 | folders = self.find_folders( |
|
|
585 | 585 | path, startDate, endDate, folderfmt, last=True) |
|
|
586 | 586 | else: |
|
|
587 | 587 | folders = path.split(',') |
|
|
588 | 588 | |
|
|
589 | 589 | return self.find_files( |
|
|
590 | 590 | folders, ext, filefmt, startDate, endDate, expLabel, last=True) |
|
|
591 | 591 | |
|
|
592 | 592 | def setNextFile(self): |
|
|
593 | 593 | """Set the next file to be readed open it and parse de file header""" |
|
|
594 | 594 | |
|
|
595 | 595 | while True: |
|
|
596 | 596 | if self.fp != None: |
|
|
597 | 597 | self.fp.close() |
|
|
598 | 598 | |
|
|
599 | 599 | if self.online: |
|
|
600 | 600 | newFile = self.setNextFileOnline() |
|
|
601 | 601 | else: |
|
|
602 | 602 | newFile = self.setNextFileOffline() |
|
|
603 | 603 | |
|
|
604 | 604 | if not(newFile): |
|
|
605 | 605 | if self.online: |
|
|
606 | 606 | raise schainpy.admin.SchainError('Time to wait for new files reach') |
|
|
607 | 607 | else: |
|
|
608 | 608 | if self.fileIndex == -1: |
|
|
609 | 609 | raise schainpy.admin.SchainWarning('No files found in the given path') |
|
|
610 | 610 | else: |
|
|
611 | 611 | raise schainpy.admin.SchainWarning('No more files to read') |
|
|
612 | 612 | |
|
|
613 | 613 | if self.verifyFile(self.filename): |
|
|
614 | 614 | break |
|
|
615 | 615 | |
|
|
616 | 616 | log.log('Opening file: %s' % self.filename, self.name) |
|
|
617 | 617 | |
|
|
618 | 618 | self.readFirstHeader() |
|
|
619 | 619 | self.nReadBlocks = 0 |
|
|
620 | 620 | |
|
|
621 | 621 | def setNextFileOnline(self): |
|
|
622 | 622 | """Check for the next file to be readed in online mode. |
|
|
623 | 623 | |
|
|
624 | 624 | Set: |
|
|
625 | 625 | self.filename |
|
|
626 | 626 | self.fp |
|
|
627 | 627 | self.filesize |
|
|
628 | 628 | |
|
|
629 | 629 | Return: |
|
|
630 | 630 | boolean |
|
|
631 | 631 | |
|
|
632 | 632 | """ |
|
|
633 | 633 | nextFile = True |
|
|
634 | 634 | nextDay = False |
|
|
635 | 635 | |
|
|
636 | 636 | for nFiles in range(self.nFiles+1): |
|
|
637 | 637 | for nTries in range(self.nTries): |
|
|
638 | 638 | fullfilename, filename = self.checkForRealPath(nextFile, nextDay) |
|
|
639 | 639 | if fullfilename is not None: |
|
|
640 | 640 | break |
|
|
641 | 641 | log.warning( |
|
|
642 | 642 | "Waiting %0.2f sec for the next file: \"%s\" , try %02d ..." % (self.delay, filename, nTries + 1), |
|
|
643 | 643 | self.name) |
|
|
644 | 644 | time.sleep(self.delay) |
|
|
645 | 645 | nextFile = False |
|
|
646 | 646 | continue |
|
|
647 | 647 | |
|
|
648 | 648 | if fullfilename is not None: |
|
|
649 | 649 | break |
|
|
650 | 650 | |
|
|
651 | 651 | self.nTries = 1 |
|
|
652 | 652 | nextFile = True |
|
|
653 | 653 | |
|
|
654 | 654 | if nFiles == (self.nFiles - 1): |
|
|
655 | 655 | log.log('Trying with next day...', self.name) |
|
|
656 | 656 | nextDay = True |
|
|
657 | 657 | self.nTries = 3 |
|
|
658 | 658 | |
|
|
659 | 659 | if fullfilename: |
|
|
660 | 660 | self.fileSize = os.path.getsize(fullfilename) |
|
|
661 | 661 | self.filename = fullfilename |
|
|
662 | 662 | self.flagIsNewFile = 1 |
|
|
663 | 663 | if self.fp != None: |
|
|
664 | 664 | self.fp.close() |
|
|
665 | 665 | self.fp = self.open_file(fullfilename, self.open_mode) |
|
|
666 | 666 | self.flagNoMoreFiles = 0 |
|
|
667 | 667 | self.fileIndex += 1 |
|
|
668 | 668 | return 1 |
|
|
669 | 669 | else: |
|
|
670 | 670 | return 0 |
|
|
671 | 671 | |
|
|
672 | 672 | def setNextFileOffline(self): |
|
|
673 | 673 | """Open the next file to be readed in offline mode""" |
|
|
674 | 674 | |
|
|
675 | 675 | try: |
|
|
676 | 676 | filename = next(self.filenameList) |
|
|
677 | 677 | self.fileIndex +=1 |
|
|
678 | 678 | except StopIteration: |
|
|
679 | 679 | self.flagNoMoreFiles = 1 |
|
|
680 | 680 | return 0 |
|
|
681 | 681 | |
|
|
682 | 682 | self.filename = filename |
|
|
683 | 683 | self.fileSize = os.path.getsize(filename) |
|
|
684 | 684 | self.fp = self.open_file(filename, self.open_mode) |
|
|
685 | 685 | self.flagIsNewFile = 1 |
|
|
686 | 686 | |
|
|
687 | 687 | return 1 |
|
|
688 | 688 | |
|
|
689 | 689 | @staticmethod |
|
|
690 | 690 | def isDateTimeInRange(dt, startDate, endDate, startTime, endTime): |
|
|
691 | 691 | """Check if the given datetime is in range""" |
|
|
692 | 692 | |
|
|
693 | 693 | if startDate <= dt.date() <= endDate: |
|
|
694 | 694 | if startTime <= dt.time() <= endTime: |
|
|
695 | 695 | return True |
|
|
696 | 696 | return False |
|
|
697 | 697 | |
|
|
698 | 698 | def verifyFile(self, filename): |
|
|
699 | 699 | """Check for a valid file |
|
|
700 | 700 | |
|
|
701 | 701 | Arguments: |
|
|
702 | 702 | filename -- full path filename |
|
|
703 | 703 | |
|
|
704 | 704 | Return: |
|
|
705 | 705 | boolean |
|
|
706 | 706 | """ |
|
|
707 | 707 | |
|
|
708 | 708 | return True |
|
|
709 | 709 | |
|
|
710 | 710 | def checkForRealPath(self, nextFile, nextDay): |
|
|
711 | 711 | """Check if the next file to be readed exists""" |
|
|
712 | 712 | |
|
|
713 | 713 | raise NotImplementedError |
|
|
714 | 714 | |
|
|
715 | 715 | def readFirstHeader(self): |
|
|
716 | 716 | """Parse the file header""" |
|
|
717 | 717 | |
|
|
718 | 718 | pass |
|
|
719 | 719 | |
|
|
720 | def waitDataBlock(self, pointer_location, blocksize=None): | |
|
|
721 | """ | |
|
|
722 | """ | |
|
|
723 | ||
|
|
724 | currentPointer = pointer_location | |
|
|
725 | if blocksize is None: | |
|
|
726 | neededSize = self.processingHeaderObj.blockSize # + self.basicHeaderSize | |
|
|
727 | else: | |
|
|
728 | neededSize = blocksize | |
|
|
729 | ||
|
|
730 | for nTries in range(self.nTries): | |
|
|
731 | self.fp.close() | |
|
|
732 | self.fp = open(self.filename, 'rb') | |
|
|
733 | self.fp.seek(currentPointer) | |
|
|
734 | ||
|
|
735 | self.fileSize = os.path.getsize(self.filename) | |
|
|
736 | currentSize = self.fileSize - currentPointer | |
|
|
737 | ||
|
|
738 | if (currentSize >= neededSize): | |
|
|
739 | return 1 | |
|
|
740 | ||
|
|
741 | log.warning( | |
|
|
742 | "Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1), | |
|
|
743 | self.name | |
|
|
744 | ) | |
|
|
745 | time.sleep(self.delay) | |
|
|
746 | ||
|
|
747 | return 0 | |
|
|
748 | ||
|
|
720 | 749 | class JRODataReader(Reader): |
|
|
721 | 750 | |
|
|
722 | 751 | utc = 0 |
|
|
723 | 752 | nReadBlocks = 0 |
|
|
724 | 753 | foldercounter = 0 |
|
|
725 | 754 | firstHeaderSize = 0 |
|
|
726 | 755 | basicHeaderSize = 24 |
|
|
727 | 756 | __isFirstTimeOnline = 1 |
|
|
728 | 757 | filefmt = "*%Y%j***" |
|
|
729 | 758 | folderfmt = "*%Y%j" |
|
|
730 | 759 | __attrs__ = ['path', 'startDate', 'endDate', 'startTime', 'endTime', 'online', 'delay', 'walk'] |
|
|
731 | 760 | |
|
|
732 | 761 | def getDtypeWidth(self): |
|
|
733 | 762 | |
|
|
734 | 763 | dtype_index = get_dtype_index(self.dtype) |
|
|
735 | 764 | dtype_width = get_dtype_width(dtype_index) |
|
|
736 | 765 | |
|
|
737 | 766 | return dtype_width |
|
|
738 | 767 | |
|
|
739 | 768 | def checkForRealPath(self, nextFile, nextDay): |
|
|
740 | 769 | """Check if the next file to be readed exists. |
|
|
741 | 770 | |
|
|
742 | 771 | Example : |
|
|
743 | 772 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
744 | 773 | |
|
|
745 | 774 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
746 | 775 | .../.../y2009307367.ext |
|
|
747 | 776 | .../.../Y2009307367.ext |
|
|
748 | 777 | .../.../x2009307/y2009307367.ext |
|
|
749 | 778 | .../.../x2009307/Y2009307367.ext |
|
|
750 | 779 | .../.../X2009307/y2009307367.ext |
|
|
751 | 780 | .../.../X2009307/Y2009307367.ext |
|
|
752 | 781 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
753 | 782 | |
|
|
754 | 783 | Return: |
|
|
755 | 784 | str -- fullpath of the file |
|
|
756 | 785 | """ |
|
|
757 | 786 | |
|
|
758 | 787 | |
|
|
759 | 788 | if nextFile: |
|
|
760 | 789 | self.set += 1 |
|
|
761 | 790 | if nextDay: |
|
|
762 | 791 | self.set = 0 |
|
|
763 | 792 | self.doy += 1 |
|
|
764 | 793 | foldercounter = 0 |
|
|
765 | 794 | prefixDirList = [None, 'd', 'D'] |
|
|
766 | 795 | if self.ext.lower() == ".r": # voltage |
|
|
767 | 796 | prefixFileList = ['d', 'D'] |
|
|
768 | 797 | elif self.ext.lower() == ".pdata": # spectra |
|
|
769 | 798 | prefixFileList = ['p', 'P'] |
|
|
770 | 799 | |
|
|
771 | 800 | # barrido por las combinaciones posibles |
|
|
772 | 801 | for prefixDir in prefixDirList: |
|
|
773 | 802 | thispath = self.path |
|
|
774 | 803 | if prefixDir != None: |
|
|
775 | 804 | # formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
776 | 805 | if foldercounter == 0: |
|
|
777 | 806 | thispath = os.path.join(self.path, "%s%04d%03d" % |
|
|
778 | 807 | (prefixDir, self.year, self.doy)) |
|
|
779 | 808 | else: |
|
|
780 | 809 | thispath = os.path.join(self.path, "%s%04d%03d_%02d" % ( |
|
|
781 | 810 | prefixDir, self.year, self.doy, foldercounter)) |
|
|
782 | 811 | for prefixFile in prefixFileList: # barrido por las dos combinaciones posibles de "D" |
|
|
783 | 812 | # formo el nombre del file xYYYYDDDSSS.ext |
|
|
784 | 813 | filename = "%s%04d%03d%03d%s" % (prefixFile, self.year, self.doy, self.set, self.ext) |
|
|
785 | 814 | fullfilename = os.path.join( |
|
|
786 | 815 | thispath, filename) |
|
|
787 | 816 | |
|
|
788 | 817 | if os.path.exists(fullfilename): |
|
|
789 | 818 | return fullfilename, filename |
|
|
790 | 819 | |
|
|
791 | 820 | return None, filename |
|
|
792 | 821 | |
|
|
793 | 822 | def __waitNewBlock(self): |
|
|
794 | 823 | """ |
|
|
795 | 824 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
796 | 825 | |
|
|
797 | 826 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
798 | 827 | """ |
|
|
799 | 828 | if not self.online: |
|
|
800 | 829 | return 0 |
|
|
801 | 830 | |
|
|
802 | 831 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
803 | 832 | return 0 |
|
|
804 | 833 | |
|
|
805 | 834 | currentPointer = self.fp.tell() |
|
|
806 | 835 | |
|
|
807 | 836 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
808 | 837 | |
|
|
809 | 838 | for nTries in range(self.nTries): |
|
|
810 | 839 | |
|
|
811 | 840 | self.fp.close() |
|
|
812 | 841 | self.fp = open(self.filename, 'rb') |
|
|
813 | 842 | self.fp.seek(currentPointer) |
|
|
814 | 843 | |
|
|
815 | 844 | self.fileSize = os.path.getsize(self.filename) |
|
|
816 | 845 | currentSize = self.fileSize - currentPointer |
|
|
817 | 846 | |
|
|
818 | 847 | if (currentSize >= neededSize): |
|
|
819 | 848 | self.basicHeaderObj.read(self.fp) |
|
|
820 | 849 | return 1 |
|
|
821 | 850 | |
|
|
822 | 851 | if self.fileSize == self.fileSizeByHeader: |
|
|
823 | 852 | # self.flagEoF = True |
|
|
824 | 853 | return 0 |
|
|
825 | 854 | |
|
|
826 | 855 | print("[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1)) |
|
|
827 | 856 | time.sleep(self.delay) |
|
|
828 | 857 | |
|
|
829 | 858 | return 0 |
|
|
830 | 859 | |
|
|
831 | def waitDataBlock(self, pointer_location, blocksize=None): | |
|
|
832 | ||
|
|
833 | currentPointer = pointer_location | |
|
|
834 | if blocksize is None: | |
|
|
835 | neededSize = self.processingHeaderObj.blockSize # + self.basicHeaderSize | |
|
|
836 | else: | |
|
|
837 | neededSize = blocksize | |
|
|
838 | ||
|
|
839 | for nTries in range(self.nTries): | |
|
|
840 | self.fp.close() | |
|
|
841 | self.fp = open(self.filename, 'rb') | |
|
|
842 | self.fp.seek(currentPointer) | |
|
|
843 | ||
|
|
844 | self.fileSize = os.path.getsize(self.filename) | |
|
|
845 | currentSize = self.fileSize - currentPointer | |
|
|
846 | ||
|
|
847 | if (currentSize >= neededSize): | |
|
|
848 | return 1 | |
|
|
849 | ||
|
|
850 | log.warning( | |
|
|
851 | "Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1), | |
|
|
852 | self.name | |
|
|
853 | ) | |
|
|
854 | time.sleep(self.delay) | |
|
|
855 | ||
|
|
856 | return 0 | |
|
|
857 | ||
|
|
858 | 860 | def __setNewBlock(self): |
|
|
859 | 861 | |
|
|
860 | 862 | if self.fp == None: |
|
|
861 | 863 | return 0 |
|
|
862 | 864 | |
|
|
863 | 865 | if self.flagIsNewFile: |
|
|
864 | 866 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
865 | 867 | return 1 |
|
|
866 | 868 | |
|
|
867 | 869 | if self.realtime: |
|
|
868 | 870 | self.flagDiscontinuousBlock = 1 |
|
|
869 | 871 | if not(self.setNextFile()): |
|
|
870 | 872 | return 0 |
|
|
871 | 873 | else: |
|
|
872 | 874 | return 1 |
|
|
873 | 875 | |
|
|
874 | 876 | currentSize = self.fileSize - self.fp.tell() |
|
|
875 | 877 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
876 | 878 | |
|
|
877 | 879 | if (currentSize >= neededSize): |
|
|
878 | 880 | self.basicHeaderObj.read(self.fp) |
|
|
879 | 881 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
880 | 882 | return 1 |
|
|
881 | 883 | |
|
|
882 | 884 | if self.__waitNewBlock(): |
|
|
883 | 885 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
884 | 886 | return 1 |
|
|
885 | 887 | |
|
|
886 | 888 | if not(self.setNextFile()): |
|
|
887 | 889 | return 0 |
|
|
888 | 890 | |
|
|
889 | 891 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime |
|
|
890 | 892 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
891 | 893 | |
|
|
892 | 894 | self.flagDiscontinuousBlock = 0 |
|
|
893 | 895 | |
|
|
894 | 896 | if deltaTime > self.maxTimeStep: |
|
|
895 | 897 | self.flagDiscontinuousBlock = 1 |
|
|
896 | 898 | |
|
|
897 | 899 | return 1 |
|
|
898 | 900 | |
|
|
899 | 901 | def readNextBlock(self): |
|
|
900 | 902 | |
|
|
901 | 903 | while True: |
|
|
902 | 904 | if not(self.__setNewBlock()): |
|
|
903 | 905 | continue |
|
|
904 | 906 | |
|
|
905 | 907 | if not(self.readBlock()): |
|
|
906 | 908 | return 0 |
|
|
907 | 909 | |
|
|
908 | 910 | self.getBasicHeader() |
|
|
909 | 911 | |
|
|
910 | 912 | if not self.isDateTimeInRange(self.dataOut.datatime, self.startDate, self.endDate, self.startTime, self.endTime): |
|
|
911 | 913 | print("[Reading] Block No. %d/%d -> %s [Skipping]" % (self.nReadBlocks, |
|
|
912 | 914 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
913 | 915 | self.dataOut.datatime.ctime())) |
|
|
914 | 916 | continue |
|
|
915 | 917 | |
|
|
916 | 918 | break |
|
|
917 | 919 | |
|
|
918 | 920 | if self.verbose: |
|
|
919 | 921 | print("[Reading] Block No. %d/%d -> %s" % (self.nReadBlocks, |
|
|
920 | 922 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
921 | 923 | self.dataOut.datatime.ctime())) |
|
|
922 | 924 | return 1 |
|
|
923 | 925 | |
|
|
924 | 926 | def readFirstHeader(self): |
|
|
925 | 927 | |
|
|
926 | 928 | self.basicHeaderObj.read(self.fp) |
|
|
927 | 929 | self.systemHeaderObj.read(self.fp) |
|
|
928 | 930 | self.radarControllerHeaderObj.read(self.fp) |
|
|
929 | 931 | self.processingHeaderObj.read(self.fp) |
|
|
930 | 932 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
931 | 933 | |
|
|
932 | 934 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & |
|
|
933 | 935 | PROCFLAG.DATATYPE_MASK)) - numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
934 | 936 | if datatype == 0: |
|
|
935 | 937 | datatype_str = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
|
936 | 938 | elif datatype == 1: |
|
|
937 | 939 | datatype_str = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
|
938 | 940 | elif datatype == 2: |
|
|
939 | 941 | datatype_str = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
|
940 | 942 | elif datatype == 3: |
|
|
941 | 943 | datatype_str = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
|
942 | 944 | elif datatype == 4: |
|
|
943 | 945 | datatype_str = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
|
944 | 946 | elif datatype == 5: |
|
|
945 | 947 | datatype_str = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
|
946 | 948 | else: |
|
|
947 | 949 | raise ValueError('Data type was not defined') |
|
|
948 | 950 | |
|
|
949 | 951 | self.dtype = datatype_str |
|
|
950 | 952 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
951 | 953 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + \ |
|
|
952 | 954 | self.firstHeaderSize + self.basicHeaderSize * \ |
|
|
953 | 955 | (self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
954 | 956 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
955 | 957 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
956 | 958 | self.getBlockDimension() |
|
|
957 | 959 | |
|
|
958 | 960 | def verifyFile(self, filename): |
|
|
959 | 961 | |
|
|
960 | 962 | flag = True |
|
|
961 | 963 | |
|
|
962 | 964 | try: |
|
|
963 | 965 | fp = open(filename, 'rb') |
|
|
964 | 966 | except IOError: |
|
|
965 | 967 | log.error("File {} can't be opened".format(filename), self.name) |
|
|
966 | 968 | return False |
|
|
967 | 969 | |
|
|
968 | 970 | if self.online and self.waitDataBlock(0): |
|
|
969 | 971 | pass |
|
|
970 | 972 | |
|
|
971 | 973 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
972 | 974 | systemHeaderObj = SystemHeader() |
|
|
973 | 975 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
974 | 976 | processingHeaderObj = ProcessingHeader() |
|
|
975 | 977 | |
|
|
976 | 978 | if not(basicHeaderObj.read(fp)): |
|
|
977 | 979 | flag = False |
|
|
978 | 980 | if not(systemHeaderObj.read(fp)): |
|
|
979 | 981 | flag = False |
|
|
980 | 982 | if not(radarControllerHeaderObj.read(fp)): |
|
|
981 | 983 | flag = False |
|
|
982 | 984 | if not(processingHeaderObj.read(fp)): |
|
|
983 | 985 | flag = False |
|
|
984 | 986 | if not self.online: |
|
|
985 | 987 | dt1 = basicHeaderObj.datatime |
|
|
986 | 988 | pos = self.fileSize-processingHeaderObj.blockSize-24 |
|
|
987 | 989 | if pos<0: |
|
|
988 | 990 | flag = False |
|
|
989 | 991 | log.error('Invalid size for file: {}'.format(self.filename), self.name) |
|
|
990 | 992 | else: |
|
|
991 | 993 | fp.seek(pos) |
|
|
992 | 994 | if not(basicHeaderObj.read(fp)): |
|
|
993 | 995 | flag = False |
|
|
994 | 996 | dt2 = basicHeaderObj.datatime |
|
|
995 | 997 | if not self.isDateTimeInRange(dt1, self.startDate, self.endDate, self.startTime, self.endTime) and not \ |
|
|
996 | 998 | self.isDateTimeInRange(dt2, self.startDate, self.endDate, self.startTime, self.endTime): |
|
|
997 | 999 | flag = False |
|
|
998 | 1000 | |
|
|
999 | 1001 | fp.close() |
|
|
1000 | 1002 | return flag |
|
|
1001 | 1003 | |
|
|
1002 | 1004 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False): |
|
|
1003 | 1005 | |
|
|
1004 | 1006 | path_empty = True |
|
|
1005 | 1007 | |
|
|
1006 | 1008 | dateList = [] |
|
|
1007 | 1009 | pathList = [] |
|
|
1008 | 1010 | |
|
|
1009 | 1011 | multi_path = path.split(',') |
|
|
1010 | 1012 | |
|
|
1011 | 1013 | if not walk: |
|
|
1012 | 1014 | |
|
|
1013 | 1015 | for single_path in multi_path: |
|
|
1014 | 1016 | |
|
|
1015 | 1017 | if not os.path.isdir(single_path): |
|
|
1016 | 1018 | continue |
|
|
1017 | 1019 | |
|
|
1018 | 1020 | fileList = glob.glob1(single_path, "*" + ext) |
|
|
1019 | 1021 | |
|
|
1020 | 1022 | if not fileList: |
|
|
1021 | 1023 | continue |
|
|
1022 | 1024 | |
|
|
1023 | 1025 | path_empty = False |
|
|
1024 | 1026 | |
|
|
1025 | 1027 | fileList.sort() |
|
|
1026 | 1028 | |
|
|
1027 | 1029 | for thisFile in fileList: |
|
|
1028 | 1030 | |
|
|
1029 | 1031 | if not os.path.isfile(os.path.join(single_path, thisFile)): |
|
|
1030 | 1032 | continue |
|
|
1031 | 1033 | |
|
|
1032 | 1034 | if not isRadarFile(thisFile): |
|
|
1033 | 1035 | continue |
|
|
1034 | 1036 | |
|
|
1035 | 1037 | if not isFileInDateRange(thisFile, startDate, endDate): |
|
|
1036 | 1038 | continue |
|
|
1037 | 1039 | |
|
|
1038 | 1040 | thisDate = getDateFromRadarFile(thisFile) |
|
|
1039 | 1041 | |
|
|
1040 | 1042 | if thisDate in dateList or single_path in pathList: |
|
|
1041 | 1043 | continue |
|
|
1042 | 1044 | |
|
|
1043 | 1045 | dateList.append(thisDate) |
|
|
1044 | 1046 | pathList.append(single_path) |
|
|
1045 | 1047 | |
|
|
1046 | 1048 | else: |
|
|
1047 | 1049 | for single_path in multi_path: |
|
|
1048 | 1050 | |
|
|
1049 | 1051 | if not os.path.isdir(single_path): |
|
|
1050 | 1052 | continue |
|
|
1051 | 1053 | |
|
|
1052 | 1054 | dirList = [] |
|
|
1053 | 1055 | |
|
|
1054 | 1056 | for thisPath in os.listdir(single_path): |
|
|
1055 | 1057 | |
|
|
1056 | 1058 | if not os.path.isdir(os.path.join(single_path, thisPath)): |
|
|
1057 | 1059 | continue |
|
|
1058 | 1060 | |
|
|
1059 | 1061 | if not isRadarFolder(thisPath): |
|
|
1060 | 1062 | continue |
|
|
1061 | 1063 | |
|
|
1062 | 1064 | if not isFolderInDateRange(thisPath, startDate, endDate): |
|
|
1063 | 1065 | continue |
|
|
1064 | 1066 | |
|
|
1065 | 1067 | dirList.append(thisPath) |
|
|
1066 | 1068 | |
|
|
1067 | 1069 | if not dirList: |
|
|
1068 | 1070 | continue |
|
|
1069 | 1071 | |
|
|
1070 | 1072 | dirList.sort() |
|
|
1071 | 1073 | |
|
|
1072 | 1074 | for thisDir in dirList: |
|
|
1073 | 1075 | |
|
|
1074 | 1076 | datapath = os.path.join(single_path, thisDir, expLabel) |
|
|
1075 | 1077 | fileList = glob.glob1(datapath, "*" + ext) |
|
|
1076 | 1078 | |
|
|
1077 | 1079 | if not fileList: |
|
|
1078 | 1080 | continue |
|
|
1079 | 1081 | |
|
|
1080 | 1082 | path_empty = False |
|
|
1081 | 1083 | |
|
|
1082 | 1084 | thisDate = getDateFromRadarFolder(thisDir) |
|
|
1083 | 1085 | |
|
|
1084 | 1086 | pathList.append(datapath) |
|
|
1085 | 1087 | dateList.append(thisDate) |
|
|
1086 | 1088 | |
|
|
1087 | 1089 | dateList.sort() |
|
|
1088 | 1090 | |
|
|
1089 | 1091 | if walk: |
|
|
1090 | 1092 | pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel) |
|
|
1091 | 1093 | else: |
|
|
1092 | 1094 | pattern_path = multi_path[0] |
|
|
1093 | 1095 | |
|
|
1094 | 1096 | if path_empty: |
|
|
1095 | 1097 | raise schainpy.admin.SchainError("[Reading] No *%s files in %s for %s to %s" % (ext, pattern_path, startDate, endDate)) |
|
|
1096 | 1098 | else: |
|
|
1097 | 1099 | if not dateList: |
|
|
1098 | 1100 | raise schainpy.admin.SchainError("[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" % (startDate, endDate, ext, path)) |
|
|
1099 | 1101 | |
|
|
1100 | 1102 | if include_path: |
|
|
1101 | 1103 | return dateList, pathList |
|
|
1102 | 1104 | |
|
|
1103 | 1105 | return dateList |
|
|
1104 | 1106 | |
|
|
1105 | 1107 | def setup(self, **kwargs): |
|
|
1106 | 1108 | |
|
|
1107 | 1109 | self.set_kwargs(**kwargs) |
|
|
1108 | 1110 | if not self.ext.startswith('.'): |
|
|
1109 | 1111 | self.ext = '.{}'.format(self.ext) |
|
|
1110 | 1112 | |
|
|
1111 | 1113 | if self.server is not None: |
|
|
1112 | 1114 | if 'tcp://' in self.server: |
|
|
1113 | 1115 | address = server |
|
|
1114 | 1116 | else: |
|
|
1115 | 1117 | address = 'ipc:///tmp/%s' % self.server |
|
|
1116 | 1118 | self.server = address |
|
|
1117 | 1119 | self.context = zmq.Context() |
|
|
1118 | 1120 | self.receiver = self.context.socket(zmq.PULL) |
|
|
1119 | 1121 | self.receiver.connect(self.server) |
|
|
1120 | 1122 | time.sleep(0.5) |
|
|
1121 | 1123 | print('[Starting] ReceiverData from {}'.format(self.server)) |
|
|
1122 | 1124 | else: |
|
|
1123 | 1125 | self.server = None |
|
|
1124 | 1126 | if self.path == None: |
|
|
1125 | 1127 | raise ValueError("[Reading] The path is not valid") |
|
|
1126 | 1128 | |
|
|
1127 | 1129 | if self.online: |
|
|
1128 | 1130 | log.log("[Reading] Searching files in online mode...", self.name) |
|
|
1129 | 1131 | |
|
|
1130 | 1132 | for nTries in range(self.nTries): |
|
|
1131 | 1133 | fullpath = self.searchFilesOnLine(self.path, self.startDate, |
|
|
1132 | 1134 | self.endDate, self.expLabel, self.ext, self.walk, |
|
|
1133 | 1135 | self.filefmt, self.folderfmt) |
|
|
1134 | 1136 | |
|
|
1135 | 1137 | try: |
|
|
1136 | 1138 | fullpath = next(fullpath) |
|
|
1137 | 1139 | except: |
|
|
1138 | 1140 | fullpath = None |
|
|
1139 | 1141 | |
|
|
1140 | 1142 | if fullpath: |
|
|
1141 | 1143 | break |
|
|
1142 | 1144 | |
|
|
1143 | 1145 | log.warning( |
|
|
1144 | 1146 | 'Waiting {} sec for a valid file in {}: try {} ...'.format( |
|
|
1145 | 1147 | self.delay, self.path, nTries + 1), |
|
|
1146 | 1148 | self.name) |
|
|
1147 | 1149 | time.sleep(self.delay) |
|
|
1148 | 1150 | |
|
|
1149 | 1151 | if not(fullpath): |
|
|
1150 | 1152 | raise schainpy.admin.SchainError( |
|
|
1151 | 1153 | 'There isn\'t any valid file in {}'.format(self.path)) |
|
|
1152 | 1154 | |
|
|
1153 | 1155 | pathname, filename = os.path.split(fullpath) |
|
|
1154 | 1156 | self.year = int(filename[1:5]) |
|
|
1155 | 1157 | self.doy = int(filename[5:8]) |
|
|
1156 | 1158 | self.set = int(filename[8:11]) - 1 |
|
|
1157 | 1159 | else: |
|
|
1158 | 1160 | log.log("Searching files in {}".format(self.path), self.name) |
|
|
1159 | 1161 | self.filenameList = self.searchFilesOffLine(self.path, self.startDate, |
|
|
1160 | 1162 | self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt) |
|
|
1161 | 1163 | |
|
|
1162 | 1164 | self.setNextFile() |
|
|
1163 | 1165 | |
|
|
1164 | 1166 | return |
|
|
1165 | 1167 | |
|
|
1166 | 1168 | def getBasicHeader(self): |
|
|
1167 | 1169 | |
|
|
1168 | 1170 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond / \ |
|
|
1169 | 1171 | 1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1170 | 1172 | |
|
|
1171 | 1173 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
1172 | 1174 | |
|
|
1173 | 1175 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1174 | 1176 | |
|
|
1175 | 1177 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1176 | 1178 | |
|
|
1177 | 1179 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1178 | 1180 | |
|
|
1179 | 1181 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1180 | 1182 | |
|
|
1181 | 1183 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds / self.nTxs |
|
|
1182 | 1184 | |
|
|
1183 | 1185 | # self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
1184 | 1186 | |
|
|
1185 | 1187 | def getFirstHeader(self): |
|
|
1186 | 1188 | |
|
|
1187 | 1189 | raise NotImplementedError |
|
|
1188 | 1190 | |
|
|
1189 | 1191 | def getData(self): |
|
|
1190 | 1192 | |
|
|
1191 | 1193 | raise NotImplementedError |
|
|
1192 | 1194 | |
|
|
1193 | 1195 | def hasNotDataInBuffer(self): |
|
|
1194 | 1196 | |
|
|
1195 | 1197 | raise NotImplementedError |
|
|
1196 | 1198 | |
|
|
1197 | 1199 | def readBlock(self): |
|
|
1198 | 1200 | |
|
|
1199 | 1201 | raise NotImplementedError |
|
|
1200 | 1202 | |
|
|
1201 | 1203 | def isEndProcess(self): |
|
|
1202 | 1204 | |
|
|
1203 | 1205 | return self.flagNoMoreFiles |
|
|
1204 | 1206 | |
|
|
1205 | 1207 | def printReadBlocks(self): |
|
|
1206 | 1208 | |
|
|
1207 | 1209 | print("[Reading] Number of read blocks per file %04d" % self.nReadBlocks) |
|
|
1208 | 1210 | |
|
|
1209 | 1211 | def printTotalBlocks(self): |
|
|
1210 | 1212 | |
|
|
1211 | 1213 | print("[Reading] Number of read blocks %04d" % self.nTotalBlocks) |
|
|
1212 | 1214 | |
|
|
1213 | 1215 | def run(self, **kwargs): |
|
|
1214 | 1216 | """ |
|
|
1215 | 1217 | |
|
|
1216 | 1218 | Arguments: |
|
|
1217 | 1219 | path : |
|
|
1218 | 1220 | startDate : |
|
|
1219 | 1221 | endDate : |
|
|
1220 | 1222 | startTime : |
|
|
1221 | 1223 | endTime : |
|
|
1222 | 1224 | set : |
|
|
1223 | 1225 | expLabel : |
|
|
1224 | 1226 | ext : |
|
|
1225 | 1227 | online : |
|
|
1226 | 1228 | delay : |
|
|
1227 | 1229 | walk : |
|
|
1228 | 1230 | getblock : |
|
|
1229 | 1231 | nTxs : |
|
|
1230 | 1232 | realtime : |
|
|
1231 | 1233 | blocksize : |
|
|
1232 | 1234 | blocktime : |
|
|
1233 | 1235 | skip : |
|
|
1234 | 1236 | cursor : |
|
|
1235 | 1237 | warnings : |
|
|
1236 | 1238 | server : |
|
|
1237 | 1239 | verbose : |
|
|
1238 | 1240 | format : |
|
|
1239 | 1241 | oneDDict : |
|
|
1240 | 1242 | twoDDict : |
|
|
1241 | 1243 | independentParam : |
|
|
1242 | 1244 | """ |
|
|
1243 | 1245 | |
|
|
1244 | 1246 | if not(self.isConfig): |
|
|
1245 | 1247 | self.setup(**kwargs) |
|
|
1246 | 1248 | self.isConfig = True |
|
|
1247 | 1249 | if self.server is None: |
|
|
1248 | 1250 | self.getData() |
|
|
1249 | 1251 | else: |
|
|
1250 | 1252 | self.getFromServer() |
|
|
1251 | 1253 | |
|
|
1252 | 1254 | |
|
|
1253 | 1255 | class JRODataWriter(Reader): |
|
|
1254 | 1256 | |
|
|
1255 | 1257 | """ |
|
|
1256 | 1258 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1257 | 1259 | de los datos siempre se realiza por bloques. |
|
|
1258 | 1260 | """ |
|
|
1259 | 1261 | |
|
|
1260 | 1262 | setFile = None |
|
|
1261 | 1263 | profilesPerBlock = None |
|
|
1262 | 1264 | blocksPerFile = None |
|
|
1263 | 1265 | nWriteBlocks = 0 |
|
|
1264 | 1266 | fileDate = None |
|
|
1265 | 1267 | |
|
|
1266 | 1268 | def __init__(self, dataOut=None): |
|
|
1267 | 1269 | raise NotImplementedError |
|
|
1268 | 1270 | |
|
|
1269 | 1271 | def hasAllDataInBuffer(self): |
|
|
1270 | 1272 | raise NotImplementedError |
|
|
1271 | 1273 | |
|
|
1272 | 1274 | def setBlockDimension(self): |
|
|
1273 | 1275 | raise NotImplementedError |
|
|
1274 | 1276 | |
|
|
1275 | 1277 | def writeBlock(self): |
|
|
1276 | 1278 | raise NotImplementedError |
|
|
1277 | 1279 | |
|
|
1278 | 1280 | def putData(self): |
|
|
1279 | 1281 | raise NotImplementedError |
|
|
1280 | 1282 | |
|
|
1281 | 1283 | def getDtypeWidth(self): |
|
|
1282 | 1284 | |
|
|
1283 | 1285 | dtype_index = get_dtype_index(self.dtype) |
|
|
1284 | 1286 | dtype_width = get_dtype_width(dtype_index) |
|
|
1285 | 1287 | |
|
|
1286 | 1288 | return dtype_width |
|
|
1287 | 1289 | |
|
|
1288 | 1290 | def getProcessFlags(self): |
|
|
1289 | 1291 | |
|
|
1290 | 1292 | processFlags = 0 |
|
|
1291 | 1293 | |
|
|
1292 | 1294 | dtype_index = get_dtype_index(self.dtype) |
|
|
1293 | 1295 | procflag_dtype = get_procflag_dtype(dtype_index) |
|
|
1294 | 1296 | |
|
|
1295 | 1297 | processFlags += procflag_dtype |
|
|
1296 | 1298 | |
|
|
1297 | 1299 | if self.dataOut.flagDecodeData: |
|
|
1298 | 1300 | processFlags += PROCFLAG.DECODE_DATA |
|
|
1299 | 1301 | |
|
|
1300 | 1302 | if self.dataOut.flagDeflipData: |
|
|
1301 | 1303 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
1302 | 1304 | |
|
|
1303 | 1305 | if self.dataOut.code is not None: |
|
|
1304 | 1306 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
1305 | 1307 | |
|
|
1306 | 1308 | if self.dataOut.nCohInt > 1: |
|
|
1307 | 1309 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
1308 | 1310 | |
|
|
1309 | 1311 | if self.dataOut.type == "Spectra": |
|
|
1310 | 1312 | if self.dataOut.nIncohInt > 1: |
|
|
1311 | 1313 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|
1312 | 1314 | |
|
|
1313 | 1315 | if self.dataOut.data_dc is not None: |
|
|
1314 | 1316 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|
1315 | 1317 | |
|
|
1316 | 1318 | if self.dataOut.flagShiftFFT: |
|
|
1317 | 1319 | processFlags += PROCFLAG.SHIFT_FFT_DATA |
|
|
1318 | 1320 | |
|
|
1319 | 1321 | return processFlags |
|
|
1320 | 1322 | |
|
|
1321 | 1323 | def setBasicHeader(self): |
|
|
1322 | 1324 | |
|
|
1323 | 1325 | self.basicHeaderObj.size = self.basicHeaderSize # bytes |
|
|
1324 | 1326 | self.basicHeaderObj.version = self.versionFile |
|
|
1325 | 1327 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
1326 | 1328 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1327 | 1329 | milisecond = (self.dataOut.utctime - utc) * 1000.0 |
|
|
1328 | 1330 | self.basicHeaderObj.utc = utc |
|
|
1329 | 1331 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1330 | 1332 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1331 | 1333 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1332 | 1334 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1333 | 1335 | |
|
|
1334 | 1336 | def setFirstHeader(self): |
|
|
1335 | 1337 | """ |
|
|
1336 | 1338 | Obtiene una copia del First Header |
|
|
1337 | 1339 | |
|
|
1338 | 1340 | Affected: |
|
|
1339 | 1341 | |
|
|
1340 | 1342 | self.basicHeaderObj |
|
|
1341 | 1343 | self.systemHeaderObj |
|
|
1342 | 1344 | self.radarControllerHeaderObj |
|
|
1343 | 1345 | self.processingHeaderObj self. |
|
|
1344 | 1346 | |
|
|
1345 | 1347 | Return: |
|
|
1346 | 1348 | None |
|
|
1347 | 1349 | """ |
|
|
1348 | 1350 | |
|
|
1349 | 1351 | raise NotImplementedError |
|
|
1350 | 1352 | |
|
|
1351 | 1353 | def __writeFirstHeader(self): |
|
|
1352 | 1354 | """ |
|
|
1353 | 1355 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1354 | 1356 | |
|
|
1355 | 1357 | Affected: |
|
|
1356 | 1358 | __dataType |
|
|
1357 | 1359 | |
|
|
1358 | 1360 | Return: |
|
|
1359 | 1361 | None |
|
|
1360 | 1362 | """ |
|
|
1361 | 1363 | |
|
|
1362 | 1364 | # CALCULAR PARAMETROS |
|
|
1363 | 1365 | |
|
|
1364 | 1366 | sizeLongHeader = self.systemHeaderObj.size + \ |
|
|
1365 | 1367 | self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1366 | 1368 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1367 | 1369 | |
|
|
1368 | 1370 | self.basicHeaderObj.write(self.fp) |
|
|
1369 | 1371 | self.systemHeaderObj.write(self.fp) |
|
|
1370 | 1372 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1371 | 1373 | self.processingHeaderObj.write(self.fp) |
|
|
1372 | 1374 | |
|
|
1373 | 1375 | def __setNewBlock(self): |
|
|
1374 | 1376 | """ |
|
|
1375 | 1377 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1376 | 1378 | |
|
|
1377 | 1379 | Return: |
|
|
1378 | 1380 | 0 : si no pudo escribir nada |
|
|
1379 | 1381 | 1 : Si escribio el Basic el First Header |
|
|
1380 | 1382 | """ |
|
|
1381 | 1383 | if self.fp == None: |
|
|
1382 | 1384 | self.setNextFile() |
|
|
1383 | 1385 | |
|
|
1384 | 1386 | if self.flagIsNewFile: |
|
|
1385 | 1387 | return 1 |
|
|
1386 | 1388 | |
|
|
1387 | 1389 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1388 | 1390 | self.basicHeaderObj.write(self.fp) |
|
|
1389 | 1391 | return 1 |
|
|
1390 | 1392 | |
|
|
1391 | 1393 | if not(self.setNextFile()): |
|
|
1392 | 1394 | return 0 |
|
|
1393 | 1395 | |
|
|
1394 | 1396 | return 1 |
|
|
1395 | 1397 | |
|
|
1396 | 1398 | def writeNextBlock(self): |
|
|
1397 | 1399 | """ |
|
|
1398 | 1400 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1399 | 1401 | |
|
|
1400 | 1402 | Return: |
|
|
1401 | 1403 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1402 | 1404 | 1 : Si no pudo escribir el bloque de datos |
|
|
1403 | 1405 | """ |
|
|
1404 | 1406 | if not(self.__setNewBlock()): |
|
|
1405 | 1407 | return 0 |
|
|
1406 | 1408 | |
|
|
1407 | 1409 | self.writeBlock() |
|
|
1408 | 1410 | |
|
|
1409 | 1411 | print("[Writing] Block No. %d/%d" % (self.blockIndex, |
|
|
1410 | 1412 | self.processingHeaderObj.dataBlocksPerFile)) |
|
|
1411 | 1413 | |
|
|
1412 | 1414 | return 1 |
|
|
1413 | 1415 | |
|
|
1414 | 1416 | def setNextFile(self): |
|
|
1415 | 1417 | """Determina el siguiente file que sera escrito |
|
|
1416 | 1418 | |
|
|
1417 | 1419 | Affected: |
|
|
1418 | 1420 | self.filename |
|
|
1419 | 1421 | self.subfolder |
|
|
1420 | 1422 | self.fp |
|
|
1421 | 1423 | self.setFile |
|
|
1422 | 1424 | self.flagIsNewFile |
|
|
1423 | 1425 | |
|
|
1424 | 1426 | Return: |
|
|
1425 | 1427 | 0 : Si el archivo no puede ser escrito |
|
|
1426 | 1428 | 1 : Si el archivo esta listo para ser escrito |
|
|
1427 | 1429 | """ |
|
|
1428 | 1430 | ext = self.ext |
|
|
1429 | 1431 | path = self.path |
|
|
1430 | 1432 | |
|
|
1431 | 1433 | if self.fp != None: |
|
|
1432 | 1434 | self.fp.close() |
|
|
1433 | 1435 | |
|
|
1434 | 1436 | if not os.path.exists(path): |
|
|
1435 | 1437 | os.mkdir(path) |
|
|
1436 | 1438 | |
|
|
1437 | 1439 | timeTuple = time.localtime(self.dataOut.utctime) |
|
|
1438 | 1440 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year, timeTuple.tm_yday) |
|
|
1439 | 1441 | |
|
|
1440 | 1442 | fullpath = os.path.join(path, subfolder) |
|
|
1441 | 1443 | setFile = self.setFile |
|
|
1442 | 1444 | |
|
|
1443 | 1445 | if not(os.path.exists(fullpath)): |
|
|
1444 | 1446 | os.mkdir(fullpath) |
|
|
1445 | 1447 | setFile = -1 # inicializo mi contador de seteo |
|
|
1446 | 1448 | else: |
|
|
1447 | 1449 | filesList = os.listdir(fullpath) |
|
|
1448 | 1450 | if len(filesList) > 0: |
|
|
1449 | 1451 | filesList = sorted(filesList, key=str.lower) |
|
|
1450 | 1452 | filen = filesList[-1] |
|
|
1451 | 1453 | # el filename debera tener el siguiente formato |
|
|
1452 | 1454 | # 0 1234 567 89A BCDE (hex) |
|
|
1453 | 1455 | # x YYYY DDD SSS .ext |
|
|
1454 | 1456 | if isNumber(filen[8:11]): |
|
|
1455 | 1457 | # inicializo mi contador de seteo al seteo del ultimo file |
|
|
1456 | 1458 | setFile = int(filen[8:11]) |
|
|
1457 | 1459 | else: |
|
|
1458 | 1460 | setFile = -1 |
|
|
1459 | 1461 | else: |
|
|
1460 | 1462 | setFile = -1 # inicializo mi contador de seteo |
|
|
1461 | 1463 | |
|
|
1462 | 1464 | setFile += 1 |
|
|
1463 | 1465 | |
|
|
1464 | 1466 | # If this is a new day it resets some values |
|
|
1465 | 1467 | if self.dataOut.datatime.date() > self.fileDate: |
|
|
1466 | 1468 | setFile = 0 |
|
|
1467 | 1469 | self.nTotalBlocks = 0 |
|
|
1468 | 1470 | |
|
|
1469 | 1471 | filen = '{}{:04d}{:03d}{:03d}{}'.format( |
|
|
1470 | 1472 | self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext) |
|
|
1471 | 1473 | |
|
|
1472 | 1474 | filename = os.path.join(path, subfolder, filen) |
|
|
1473 | 1475 | |
|
|
1474 | 1476 | fp = open(filename, 'wb') |
|
|
1475 | 1477 | |
|
|
1476 | 1478 | self.blockIndex = 0 |
|
|
1477 | 1479 | self.filename = filename |
|
|
1478 | 1480 | self.subfolder = subfolder |
|
|
1479 | 1481 | self.fp = fp |
|
|
1480 | 1482 | self.setFile = setFile |
|
|
1481 | 1483 | self.flagIsNewFile = 1 |
|
|
1482 | 1484 | self.fileDate = self.dataOut.datatime.date() |
|
|
1483 | 1485 | self.setFirstHeader() |
|
|
1484 | 1486 | |
|
|
1485 | 1487 | print('[Writing] Opening file: %s' % self.filename) |
|
|
1486 | 1488 | |
|
|
1487 | 1489 | self.__writeFirstHeader() |
|
|
1488 | 1490 | |
|
|
1489 | 1491 | return 1 |
|
|
1490 | 1492 | |
|
|
1491 | 1493 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4): |
|
|
1492 | 1494 | """ |
|
|
1493 | 1495 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1494 | 1496 | |
|
|
1495 | 1497 | Inputs: |
|
|
1496 | 1498 | path : directory where data will be saved |
|
|
1497 | 1499 | profilesPerBlock : number of profiles per block |
|
|
1498 | 1500 | set : initial file set |
|
|
1499 | 1501 | datatype : An integer number that defines data type: |
|
|
1500 | 1502 | 0 : int8 (1 byte) |
|
|
1501 | 1503 | 1 : int16 (2 bytes) |
|
|
1502 | 1504 | 2 : int32 (4 bytes) |
|
|
1503 | 1505 | 3 : int64 (8 bytes) |
|
|
1504 | 1506 | 4 : float32 (4 bytes) |
|
|
1505 | 1507 | 5 : double64 (8 bytes) |
|
|
1506 | 1508 | |
|
|
1507 | 1509 | Return: |
|
|
1508 | 1510 | 0 : Si no realizo un buen seteo |
|
|
1509 | 1511 | 1 : Si realizo un buen seteo |
|
|
1510 | 1512 | """ |
|
|
1511 | 1513 | |
|
|
1512 | 1514 | if ext == None: |
|
|
1513 | 1515 | ext = self.ext |
|
|
1514 | 1516 | |
|
|
1515 | 1517 | self.ext = ext.lower() |
|
|
1516 | 1518 | |
|
|
1517 | 1519 | self.path = path |
|
|
1518 | 1520 | |
|
|
1519 | 1521 | if set is None: |
|
|
1520 | 1522 | self.setFile = -1 |
|
|
1521 | 1523 | else: |
|
|
1522 | 1524 | self.setFile = set - 1 |
|
|
1523 | 1525 | |
|
|
1524 | 1526 | self.blocksPerFile = blocksPerFile |
|
|
1525 | 1527 | self.profilesPerBlock = profilesPerBlock |
|
|
1526 | 1528 | self.dataOut = dataOut |
|
|
1527 | 1529 | self.fileDate = self.dataOut.datatime.date() |
|
|
1528 | 1530 | self.dtype = self.dataOut.dtype |
|
|
1529 | 1531 | |
|
|
1530 | 1532 | if datatype is not None: |
|
|
1531 | 1533 | self.dtype = get_numpy_dtype(datatype) |
|
|
1532 | 1534 | |
|
|
1533 | 1535 | if not(self.setNextFile()): |
|
|
1534 | 1536 | print("[Writing] There isn't a next file") |
|
|
1535 | 1537 | return 0 |
|
|
1536 | 1538 | |
|
|
1537 | 1539 | self.setBlockDimension() |
|
|
1538 | 1540 | |
|
|
1539 | 1541 | return 1 |
|
|
1540 | 1542 | |
|
|
1541 | 1543 | def run(self, dataOut, path, blocksPerFile=100, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): |
|
|
1542 | 1544 | |
|
|
1543 | 1545 | if not(self.isConfig): |
|
|
1544 | 1546 | |
|
|
1545 | 1547 | self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, |
|
|
1546 | 1548 | set=set, ext=ext, datatype=datatype, **kwargs) |
|
|
1547 | 1549 | self.isConfig = True |
|
|
1548 | 1550 | |
|
|
1549 | 1551 | self.dataOut = dataOut |
|
|
1550 | 1552 | self.putData() |
|
|
1551 | 1553 | return self.dataOut |
|
|
1552 | 1554 | |
|
|
1553 | 1555 | @MPDecorator |
|
|
1554 | 1556 | class printInfo(Operation): |
|
|
1555 | 1557 | |
|
|
1556 | 1558 | def __init__(self): |
|
|
1557 | 1559 | |
|
|
1558 | 1560 | Operation.__init__(self) |
|
|
1559 | 1561 | self.__printInfo = True |
|
|
1560 | 1562 | |
|
|
1561 | 1563 | def run(self, dataOut, headers = ['systemHeaderObj', 'radarControllerHeaderObj', 'processingHeaderObj']): |
|
|
1562 | 1564 | if self.__printInfo == False: |
|
|
1563 | 1565 | return |
|
|
1564 | 1566 | |
|
|
1565 | 1567 | for header in headers: |
|
|
1566 | 1568 | if hasattr(dataOut, header): |
|
|
1567 | 1569 | obj = getattr(dataOut, header) |
|
|
1568 | 1570 | if hasattr(obj, 'printInfo'): |
|
|
1569 | 1571 | obj.printInfo() |
|
|
1570 | 1572 | else: |
|
|
1571 | 1573 | print(obj) |
|
|
1572 | 1574 | else: |
|
|
1573 | 1575 | log.warning('Header {} Not found in object'.format(header)) |
|
|
1574 | 1576 | |
|
|
1575 | 1577 | self.__printInfo = False |
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