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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 | |
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11 | 11 | from jroheaderIO import SystemHeader, RadarControllerHeader |
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12 | 12 | from schainpy import cSchain |
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13 | 13 | |
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14 | 14 | |
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15 | 15 | def getNumpyDtype(dataTypeCode): |
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16 | 16 | |
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17 | 17 | if dataTypeCode == 0: |
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18 | 18 | numpyDtype = numpy.dtype([('real','<i1'),('imag','<i1')]) |
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19 | 19 | elif dataTypeCode == 1: |
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20 | 20 | numpyDtype = numpy.dtype([('real','<i2'),('imag','<i2')]) |
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21 | 21 | elif dataTypeCode == 2: |
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22 | 22 | numpyDtype = numpy.dtype([('real','<i4'),('imag','<i4')]) |
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23 | 23 | elif dataTypeCode == 3: |
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24 | 24 | numpyDtype = numpy.dtype([('real','<i8'),('imag','<i8')]) |
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25 | 25 | elif dataTypeCode == 4: |
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26 | 26 | numpyDtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
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27 | 27 | elif dataTypeCode == 5: |
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28 | 28 | numpyDtype = numpy.dtype([('real','<f8'),('imag','<f8')]) |
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29 | 29 | else: |
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30 | 30 | raise ValueError, 'dataTypeCode was not defined' |
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31 | 31 | |
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32 | 32 | return numpyDtype |
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33 | 33 | |
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34 | 34 | def getDataTypeCode(numpyDtype): |
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35 | 35 | |
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36 | 36 | if numpyDtype == numpy.dtype([('real','<i1'),('imag','<i1')]): |
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37 | 37 | datatype = 0 |
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38 | 38 | elif numpyDtype == numpy.dtype([('real','<i2'),('imag','<i2')]): |
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39 | 39 | datatype = 1 |
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40 | 40 | elif numpyDtype == numpy.dtype([('real','<i4'),('imag','<i4')]): |
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41 | 41 | datatype = 2 |
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42 | 42 | elif numpyDtype == numpy.dtype([('real','<i8'),('imag','<i8')]): |
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43 | 43 | datatype = 3 |
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44 | 44 | elif numpyDtype == numpy.dtype([('real','<f4'),('imag','<f4')]): |
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45 | 45 | datatype = 4 |
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46 | 46 | elif numpyDtype == numpy.dtype([('real','<f8'),('imag','<f8')]): |
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47 | 47 | datatype = 5 |
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48 | 48 | else: |
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49 | 49 | datatype = None |
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50 | 50 | |
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51 | 51 | return datatype |
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52 | 52 | |
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53 | 53 | def hildebrand_sekhon(data, navg): |
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54 | 54 | """ |
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55 | 55 | This method is for the objective determination of the noise level in Doppler spectra. This |
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56 | 56 | implementation technique is based on the fact that the standard deviation of the spectral |
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57 | 57 | densities is equal to the mean spectral density for white Gaussian noise |
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58 | 58 | |
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59 | 59 | Inputs: |
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60 | 60 | Data : heights |
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61 | 61 | navg : numbers of averages |
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62 | 62 | |
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63 | 63 | Return: |
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64 | 64 | -1 : any error |
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65 | 65 | anoise : noise's level |
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66 | 66 | """ |
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67 | 67 | |
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68 | 68 | sortdata = numpy.sort(data, axis=None) |
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69 | 69 | # lenOfData = len(sortdata) |
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70 | 70 | # nums_min = lenOfData*0.2 |
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71 | 71 | # |
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72 | 72 | # if nums_min <= 5: |
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73 | 73 | # nums_min = 5 |
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74 | 74 | # |
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75 | 75 | # sump = 0. |
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76 | 76 | # |
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77 | 77 | # sumq = 0. |
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78 | 78 | # |
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79 | 79 | # j = 0 |
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80 | 80 | # |
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81 | 81 | # cont = 1 |
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82 | 82 | # |
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83 | 83 | # while((cont==1)and(j<lenOfData)): |
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84 | 84 | # |
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85 | 85 | # sump += sortdata[j] |
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86 | 86 | # |
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87 | 87 | # sumq += sortdata[j]**2 |
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88 | 88 | # |
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89 | 89 | # if j > nums_min: |
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90 | 90 | # rtest = float(j)/(j-1) + 1.0/navg |
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91 | 91 | # if ((sumq*j) > (rtest*sump**2)): |
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92 | 92 | # j = j - 1 |
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93 | 93 | # sump = sump - sortdata[j] |
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94 | 94 | # sumq = sumq - sortdata[j]**2 |
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95 | 95 | # cont = 0 |
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96 | 96 | # |
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97 | 97 | # j += 1 |
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98 | 98 | # |
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99 | 99 | # lnoise = sump /j |
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100 | 100 | # |
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101 | 101 | # return lnoise |
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102 | 102 | |
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103 | 103 | return cSchain.hildebrand_sekhon(sortdata, navg) |
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104 | 104 | |
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105 | 105 | |
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106 | 106 | class Beam: |
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107 | 107 | |
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108 | 108 | def __init__(self): |
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109 | 109 | self.codeList = [] |
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110 | 110 | self.azimuthList = [] |
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111 | 111 | self.zenithList = [] |
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112 | 112 | |
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113 | 113 | class GenericData(object): |
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114 | 114 | |
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115 | 115 | flagNoData = True |
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116 | 116 | |
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117 | 117 | def copy(self, inputObj=None): |
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118 | 118 | |
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119 | 119 | if inputObj == None: |
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120 | 120 | return copy.deepcopy(self) |
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121 | 121 | |
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122 | 122 | for key in inputObj.__dict__.keys(): |
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123 | 123 | |
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124 | 124 | attribute = inputObj.__dict__[key] |
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125 | 125 | |
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126 | 126 | #If this attribute is a tuple or list |
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127 | 127 | if type(inputObj.__dict__[key]) in (tuple, list): |
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128 | 128 | self.__dict__[key] = attribute[:] |
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129 | 129 | continue |
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130 | 130 | |
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131 | 131 | #If this attribute is another object or instance |
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132 | 132 | if hasattr(attribute, '__dict__'): |
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133 | 133 | self.__dict__[key] = attribute.copy() |
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134 | 134 | continue |
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135 | 135 | |
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136 | 136 | self.__dict__[key] = inputObj.__dict__[key] |
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137 | 137 | |
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138 | 138 | def deepcopy(self): |
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139 | 139 | |
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140 | 140 | return copy.deepcopy(self) |
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141 | 141 | |
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142 | 142 | def isEmpty(self): |
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143 | 143 | |
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144 | 144 | return self.flagNoData |
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145 | 145 | |
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146 | 146 | class JROData(GenericData): |
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147 | 147 | |
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148 | 148 | # m_BasicHeader = BasicHeader() |
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149 | 149 | # m_ProcessingHeader = ProcessingHeader() |
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150 | 150 | |
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151 | 151 | systemHeaderObj = SystemHeader() |
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152 | 152 | |
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153 | 153 | radarControllerHeaderObj = RadarControllerHeader() |
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154 | 154 | |
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155 | 155 | # data = None |
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156 | 156 | |
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157 | 157 | type = None |
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158 | 158 | |
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159 | 159 | datatype = None #dtype but in string |
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160 | 160 | |
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161 | 161 | # dtype = None |
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162 | 162 | |
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163 | 163 | # nChannels = None |
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164 | 164 | |
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165 | 165 | # nHeights = None |
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166 | 166 | |
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167 | 167 | nProfiles = None |
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168 | 168 | |
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169 | 169 | heightList = None |
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170 | 170 | |
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171 | 171 | channelList = None |
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172 | 172 | |
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173 | 173 | flagDiscontinuousBlock = False |
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174 | 174 | |
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175 | 175 | useLocalTime = False |
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176 | 176 | |
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177 | 177 | utctime = None |
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178 | 178 | |
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179 | 179 | timeZone = None |
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180 | 180 | |
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181 | 181 | dstFlag = None |
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182 | 182 | |
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183 | 183 | errorCount = None |
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184 | 184 | |
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185 | 185 | blocksize = None |
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186 | 186 | |
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187 | 187 | # nCode = None |
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188 | 188 | # |
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189 | 189 | # nBaud = None |
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190 | 190 | # |
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191 | 191 | # code = None |
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192 | 192 | |
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193 | 193 | flagDecodeData = False #asumo q la data no esta decodificada |
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194 | 194 | |
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195 | 195 | flagDeflipData = False #asumo q la data no esta sin flip |
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196 | 196 | |
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197 | 197 | flagShiftFFT = False |
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198 | 198 | |
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199 | 199 | # ippSeconds = None |
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200 | 200 | |
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201 | 201 | # timeInterval = None |
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202 | 202 | |
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203 | 203 | nCohInt = None |
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204 | 204 | |
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205 | 205 | # noise = None |
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206 | 206 | |
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207 | 207 | windowOfFilter = 1 |
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208 | 208 | |
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209 | 209 | #Speed of ligth |
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210 | 210 | C = 3e8 |
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211 | 211 | |
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212 | 212 | frequency = 49.92e6 |
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213 | 213 | |
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214 | 214 | realtime = False |
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215 | 215 | |
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216 | 216 | beacon_heiIndexList = None |
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217 | 217 | |
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218 | 218 | last_block = None |
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219 | 219 | |
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220 | 220 | blocknow = None |
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221 | 221 | |
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222 | 222 | azimuth = None |
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223 | 223 | |
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224 | 224 | zenith = None |
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225 | 225 | |
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226 | 226 | beam = Beam() |
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227 | 227 | |
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228 | 228 | profileIndex = None |
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229 | 229 | |
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230 | 230 | def getNoise(self): |
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231 | 231 | |
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232 | 232 | raise NotImplementedError |
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233 | 233 | |
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234 | 234 | def getNChannels(self): |
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235 | 235 | |
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236 | 236 | return len(self.channelList) |
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237 | 237 | |
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238 | 238 | def getChannelIndexList(self): |
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239 | 239 | |
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240 | 240 | return range(self.nChannels) |
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241 | 241 | |
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242 | 242 | def getNHeights(self): |
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243 | 243 | |
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244 | 244 | return len(self.heightList) |
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245 | 245 | |
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246 | 246 | def getHeiRange(self, extrapoints=0): |
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247 | 247 | |
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248 | 248 | heis = self.heightList |
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249 | 249 | # deltah = self.heightList[1] - self.heightList[0] |
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250 | 250 | # |
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251 | 251 | # heis.append(self.heightList[-1]) |
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252 | 252 | |
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253 | 253 | return heis |
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254 | 254 | |
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255 | 255 | def getDeltaH(self): |
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256 | 256 | |
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257 | 257 | delta = self.heightList[1] - self.heightList[0] |
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258 | 258 | |
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259 | 259 | return delta |
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260 | 260 | |
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261 | 261 | def getltctime(self): |
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262 | 262 | |
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263 | 263 | if self.useLocalTime: |
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264 | 264 | return self.utctime - self.timeZone*60 |
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265 | 265 | |
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266 | 266 | return self.utctime |
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267 | 267 | |
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268 | 268 | def getDatatime(self): |
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269 | 269 | |
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270 | 270 | datatimeValue = datetime.datetime.utcfromtimestamp(self.ltctime) |
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271 | 271 | return datatimeValue |
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272 | 272 | |
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273 | 273 | def getTimeRange(self): |
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274 | 274 | |
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275 | 275 | datatime = [] |
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276 | 276 | |
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277 | 277 | datatime.append(self.ltctime) |
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278 | 278 | datatime.append(self.ltctime + self.timeInterval+1) |
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279 | 279 | |
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280 | 280 | datatime = numpy.array(datatime) |
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281 | 281 | |
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282 | 282 | return datatime |
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283 | 283 | |
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284 | 284 | def getFmaxTimeResponse(self): |
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285 | 285 | |
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286 | 286 | period = (10**-6)*self.getDeltaH()/(0.15) |
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287 | 287 | |
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288 | 288 | PRF = 1./(period * self.nCohInt) |
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289 | 289 | |
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290 | 290 | fmax = PRF |
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291 | 291 | |
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292 | 292 | return fmax |
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293 | 293 | |
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294 | 294 | def getFmax(self): |
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295 | 295 | |
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296 | 296 | PRF = 1./(self.ippSeconds * self.nCohInt) |
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297 | 297 | |
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298 | 298 | fmax = PRF |
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299 | 299 | |
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300 | 300 | return fmax |
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301 | 301 | |
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302 | 302 | def getVmax(self): |
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303 | 303 | |
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304 | 304 | _lambda = self.C/self.frequency |
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305 | 305 | |
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306 | 306 | vmax = self.getFmax() * _lambda/2 |
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307 | 307 | |
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308 | 308 | return vmax |
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309 | 309 | |
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310 | 310 | def get_ippSeconds(self): |
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311 | 311 | ''' |
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312 | 312 | ''' |
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313 | 313 | return self.radarControllerHeaderObj.ippSeconds |
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314 | 314 | |
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315 | 315 | def set_ippSeconds(self, ippSeconds): |
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316 | 316 | ''' |
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317 | 317 | ''' |
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318 | 318 | |
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319 | 319 | self.radarControllerHeaderObj.ippSeconds = ippSeconds |
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320 | 320 | |
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321 | 321 | return |
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322 | 322 | |
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323 | 323 | def get_dtype(self): |
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324 | 324 | ''' |
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325 | 325 | ''' |
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326 | 326 | return getNumpyDtype(self.datatype) |
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327 | 327 | |
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328 | 328 | def set_dtype(self, numpyDtype): |
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329 | 329 | ''' |
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330 | 330 | ''' |
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331 | 331 | |
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332 | 332 | self.datatype = getDataTypeCode(numpyDtype) |
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333 | 333 | |
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334 | 334 | def get_code(self): |
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335 | 335 | ''' |
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336 | 336 | ''' |
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337 | 337 | return self.radarControllerHeaderObj.code |
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338 | 338 | |
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339 | 339 | def set_code(self, code): |
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340 | 340 | ''' |
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341 | 341 | ''' |
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342 | 342 | self.radarControllerHeaderObj.code = code |
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343 | 343 | |
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344 | 344 | return |
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345 | 345 | |
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346 | 346 | def get_ncode(self): |
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347 | 347 | ''' |
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348 | 348 | ''' |
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349 | 349 | return self.radarControllerHeaderObj.nCode |
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350 | 350 | |
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351 | 351 | def set_ncode(self, nCode): |
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352 | 352 | ''' |
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353 | 353 | ''' |
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354 | 354 | self.radarControllerHeaderObj.nCode = nCode |
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355 | 355 | |
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356 | 356 | return |
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357 | 357 | |
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358 | 358 | def get_nbaud(self): |
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359 | 359 | ''' |
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360 | 360 | ''' |
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361 | 361 | return self.radarControllerHeaderObj.nBaud |
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362 | 362 | |
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363 | 363 | def set_nbaud(self, nBaud): |
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364 | 364 | ''' |
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365 | 365 | ''' |
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366 | 366 | self.radarControllerHeaderObj.nBaud = nBaud |
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367 | 367 | |
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368 | 368 | return |
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369 | 369 | |
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370 | 370 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
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371 | 371 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") |
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372 | 372 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
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373 | 373 | #noise = property(getNoise, "I'm the 'nHeights' property.") |
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374 | 374 | datatime = property(getDatatime, "I'm the 'datatime' property") |
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375 | 375 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
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376 | 376 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
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377 | 377 | dtype = property(get_dtype, set_dtype) |
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378 | 378 | # timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
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379 | 379 | code = property(get_code, set_code) |
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380 | 380 | nCode = property(get_ncode, set_ncode) |
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381 | 381 | nBaud = property(get_nbaud, set_nbaud) |
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382 | 382 | |
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383 | 383 | class Voltage(JROData): |
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384 | 384 | |
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385 | 385 | #data es un numpy array de 2 dmensiones (canales, alturas) |
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386 | 386 | data = None |
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387 | 387 | |
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388 | 388 | def __init__(self): |
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389 | 389 | ''' |
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390 | 390 | Constructor |
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391 | 391 | ''' |
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392 | 392 | |
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393 | 393 | self.useLocalTime = True |
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394 | 394 | |
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395 | 395 | self.radarControllerHeaderObj = RadarControllerHeader() |
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396 | 396 | |
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397 | 397 | self.systemHeaderObj = SystemHeader() |
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398 | 398 | |
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399 | 399 | self.type = "Voltage" |
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400 | 400 | |
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401 | 401 | self.data = None |
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402 | 402 | |
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403 | 403 | # self.dtype = None |
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404 | 404 | |
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405 | 405 | # self.nChannels = 0 |
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406 | 406 | |
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407 | 407 | # self.nHeights = 0 |
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408 | 408 | |
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409 | 409 | self.nProfiles = None |
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410 | 410 | |
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411 | 411 | self.heightList = None |
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412 | 412 | |
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413 | 413 | self.channelList = None |
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414 | 414 | |
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415 | 415 | # self.channelIndexList = None |
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416 | 416 | |
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417 | 417 | self.flagNoData = True |
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418 | 418 | |
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419 | 419 | self.flagDiscontinuousBlock = False |
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420 | 420 | |
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421 | 421 | self.utctime = None |
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422 | 422 | |
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423 | 423 | self.timeZone = None |
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424 | 424 | |
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425 | 425 | self.dstFlag = None |
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426 | 426 | |
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427 | 427 | self.errorCount = None |
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428 | 428 | |
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429 | 429 | self.nCohInt = None |
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430 | 430 | |
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431 | 431 | self.blocksize = None |
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432 | 432 | |
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433 | 433 | self.flagDecodeData = False #asumo q la data no esta decodificada |
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434 | 434 | |
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435 | 435 | self.flagDeflipData = False #asumo q la data no esta sin flip |
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436 | 436 | |
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437 | 437 | self.flagShiftFFT = False |
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438 | 438 | |
|
|
439 | 439 | self.flagDataAsBlock = False #Asumo que la data es leida perfil a perfil |
|
|
440 | 440 | |
|
|
441 | 441 | self.profileIndex = 0 |
|
|
442 | 442 | |
|
|
443 | 443 | def getNoisebyHildebrand(self, channel = None): |
|
|
444 | 444 | """ |
|
|
445 | 445 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
446 | 446 | |
|
|
447 | 447 | Return: |
|
|
448 | 448 | noiselevel |
|
|
449 | 449 | """ |
|
|
450 | 450 | |
|
|
451 | 451 | if channel != None: |
|
|
452 | 452 | data = self.data[channel] |
|
|
453 | 453 | nChannels = 1 |
|
|
454 | 454 | else: |
|
|
455 | 455 | data = self.data |
|
|
456 | 456 | nChannels = self.nChannels |
|
|
457 | 457 | |
|
|
458 | 458 | noise = numpy.zeros(nChannels) |
|
|
459 | 459 | power = data * numpy.conjugate(data) |
|
|
460 | 460 | |
|
|
461 | 461 | for thisChannel in range(nChannels): |
|
|
462 | 462 | if nChannels == 1: |
|
|
463 | 463 | daux = power[:].real |
|
|
464 | 464 | else: |
|
|
465 | 465 | daux = power[thisChannel,:].real |
|
|
466 | 466 | noise[thisChannel] = hildebrand_sekhon(daux, self.nCohInt) |
|
|
467 | 467 | |
|
|
468 | 468 | return noise |
|
|
469 | 469 | |
|
|
470 | 470 | def getNoise(self, type = 1, channel = None): |
|
|
471 | 471 | |
|
|
472 | 472 | if type == 1: |
|
|
473 | 473 | noise = self.getNoisebyHildebrand(channel) |
|
|
474 | 474 | |
|
|
475 | 475 | return noise |
|
|
476 | 476 | |
|
|
477 | 477 | def getPower(self, channel = None): |
|
|
478 | 478 | |
|
|
479 | 479 | if channel != None: |
|
|
480 | 480 | data = self.data[channel] |
|
|
481 | 481 | else: |
|
|
482 | 482 | data = self.data |
|
|
483 | 483 | |
|
|
484 | 484 | power = data * numpy.conjugate(data) |
|
|
485 | 485 | powerdB = 10*numpy.log10(power.real) |
|
|
486 | 486 | powerdB = numpy.squeeze(powerdB) |
|
|
487 | 487 | |
|
|
488 | 488 | return powerdB |
|
|
489 | 489 | |
|
|
490 | 490 | def getTimeInterval(self): |
|
|
491 | 491 | |
|
|
492 | 492 | timeInterval = self.ippSeconds * self.nCohInt |
|
|
493 | 493 | |
|
|
494 | 494 | return timeInterval |
|
|
495 | 495 | |
|
|
496 | 496 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
497 | 497 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
498 | 498 | |
|
|
499 | 499 | class Spectra(JROData): |
|
|
500 | 500 | |
|
|
501 | 501 | #data spc es un numpy array de 2 dmensiones (canales, perfiles, alturas) |
|
|
502 | 502 | data_spc = None |
|
|
503 | 503 | |
|
|
504 | 504 | #data cspc es un numpy array de 2 dmensiones (canales, pares, alturas) |
|
|
505 | 505 | data_cspc = None |
|
|
506 | 506 | |
|
|
507 | 507 | #data dc es un numpy array de 2 dmensiones (canales, alturas) |
|
|
508 | 508 | data_dc = None |
|
|
509 | 509 | |
|
|
510 | 510 | #data power |
|
|
511 | 511 | data_pwr = None |
|
|
512 | 512 | |
|
|
513 | 513 | nFFTPoints = None |
|
|
514 | 514 | |
|
|
515 | 515 | # nPairs = None |
|
|
516 | 516 | |
|
|
517 | 517 | pairsList = None |
|
|
518 | 518 | |
|
|
519 | 519 | nIncohInt = None |
|
|
520 | 520 | |
|
|
521 | 521 | wavelength = None #Necesario para cacular el rango de velocidad desde la frecuencia |
|
|
522 | 522 | |
|
|
523 | 523 | nCohInt = None #se requiere para determinar el valor de timeInterval |
|
|
524 | 524 | |
|
|
525 | 525 | ippFactor = None |
|
|
526 | 526 | |
|
|
527 | 527 | profileIndex = 0 |
|
|
528 | 528 | |
|
|
529 | 529 | plotting = "spectra" |
|
|
530 | 530 | |
|
|
531 | 531 | def __init__(self): |
|
|
532 | 532 | ''' |
|
|
533 | 533 | Constructor |
|
|
534 | 534 | ''' |
|
|
535 | 535 | |
|
|
536 | 536 | self.useLocalTime = True |
|
|
537 | 537 | |
|
|
538 | 538 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
539 | 539 | |
|
|
540 | 540 | self.systemHeaderObj = SystemHeader() |
|
|
541 | 541 | |
|
|
542 | 542 | self.type = "Spectra" |
|
|
543 | 543 | |
|
|
544 | 544 | # self.data = None |
|
|
545 | 545 | |
|
|
546 | 546 | # self.dtype = None |
|
|
547 | 547 | |
|
|
548 | 548 | # self.nChannels = 0 |
|
|
549 | 549 | |
|
|
550 | 550 | # self.nHeights = 0 |
|
|
551 | 551 | |
|
|
552 | 552 | self.nProfiles = None |
|
|
553 | 553 | |
|
|
554 | 554 | self.heightList = None |
|
|
555 | 555 | |
|
|
556 | 556 | self.channelList = None |
|
|
557 | 557 | |
|
|
558 | 558 | # self.channelIndexList = None |
|
|
559 | 559 | |
|
|
560 | 560 | self.pairsList = None |
|
|
561 | 561 | |
|
|
562 | 562 | self.flagNoData = True |
|
|
563 | 563 | |
|
|
564 | 564 | self.flagDiscontinuousBlock = False |
|
|
565 | 565 | |
|
|
566 | 566 | self.utctime = None |
|
|
567 | 567 | |
|
|
568 | 568 | self.nCohInt = None |
|
|
569 | 569 | |
|
|
570 | 570 | self.nIncohInt = None |
|
|
571 | 571 | |
|
|
572 | 572 | self.blocksize = None |
|
|
573 | 573 | |
|
|
574 | 574 | self.nFFTPoints = None |
|
|
575 | 575 | |
|
|
576 | 576 | self.wavelength = None |
|
|
577 | 577 | |
|
|
578 | 578 | self.flagDecodeData = False #asumo q la data no esta decodificada |
|
|
579 | 579 | |
|
|
580 | 580 | self.flagDeflipData = False #asumo q la data no esta sin flip |
|
|
581 | 581 | |
|
|
582 | 582 | self.flagShiftFFT = False |
|
|
583 | 583 | |
|
|
584 | 584 | self.ippFactor = 1 |
|
|
585 | 585 | |
|
|
586 | 586 | #self.noise = None |
|
|
587 | 587 | |
|
|
588 | 588 | self.beacon_heiIndexList = [] |
|
|
589 | 589 | |
|
|
590 | 590 | self.noise_estimation = None |
|
|
591 | 591 | |
|
|
592 | 592 | |
|
|
593 | 593 | def getNoisebyHildebrand(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
594 | 594 | """ |
|
|
595 | 595 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
596 | 596 | |
|
|
597 | 597 | Return: |
|
|
598 | 598 | noiselevel |
|
|
599 | 599 | """ |
|
|
600 | 600 | |
|
|
601 | 601 | noise = numpy.zeros(self.nChannels) |
|
|
602 | 602 | |
|
|
603 | 603 | for channel in range(self.nChannels): |
|
|
604 | 604 | daux = self.data_spc[channel,xmin_index:xmax_index,ymin_index:ymax_index] |
|
|
605 | 605 | noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) |
|
|
606 | 606 | |
|
|
607 | 607 | return noise |
|
|
608 | 608 | |
|
|
609 | 609 | def getNoise(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
610 | 610 | |
|
|
611 | 611 | if self.noise_estimation is not None: |
|
|
612 | 612 | return self.noise_estimation #this was estimated by getNoise Operation defined in jroproc_spectra.py |
|
|
613 | 613 | else: |
|
|
614 | 614 | noise = self.getNoisebyHildebrand(xmin_index, xmax_index, ymin_index, ymax_index) |
|
|
615 | 615 | return noise |
|
|
616 | 616 | |
|
|
617 | 617 | def getFreqRangeTimeResponse(self, extrapoints=0): |
|
|
618 | 618 | |
|
|
619 | 619 | deltafreq = self.getFmaxTimeResponse() / (self.nFFTPoints*self.ippFactor) |
|
|
620 | 620 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 |
|
|
621 | 621 | |
|
|
622 | 622 | return freqrange |
|
|
623 | 623 | |
|
|
624 | 624 | def getAcfRange(self, extrapoints=0): |
|
|
625 | 625 | |
|
|
626 | 626 | deltafreq = 10./(self.getFmax() / (self.nFFTPoints*self.ippFactor)) |
|
|
627 | 627 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 |
|
|
628 | 628 | |
|
|
629 | 629 | return freqrange |
|
|
630 | 630 | |
|
|
631 | 631 | def getFreqRange(self, extrapoints=0): |
|
|
632 | 632 | |
|
|
633 | 633 | deltafreq = self.getFmax() / (self.nFFTPoints*self.ippFactor) |
|
|
634 | 634 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 |
|
|
635 | 635 | |
|
|
636 | 636 | return freqrange |
|
|
637 | 637 | |
|
|
638 | 638 | def getVelRange(self, extrapoints=0): |
|
|
639 | 639 | |
|
|
640 | 640 | deltav = self.getVmax() / (self.nFFTPoints*self.ippFactor) |
|
|
641 | 641 | velrange = deltav*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) #- deltav/2 |
|
|
642 | 642 | |
|
|
643 | 643 | return velrange |
|
|
644 | 644 | |
|
|
645 | 645 | def getNPairs(self): |
|
|
646 | 646 | |
|
|
647 | 647 | return len(self.pairsList) |
|
|
648 | 648 | |
|
|
649 | 649 | def getPairsIndexList(self): |
|
|
650 | 650 | |
|
|
651 | 651 | return range(self.nPairs) |
|
|
652 | 652 | |
|
|
653 | 653 | def getNormFactor(self): |
|
|
654 | 654 | |
|
|
655 | 655 | pwcode = 1 |
|
|
656 | 656 | |
|
|
657 | 657 | if self.flagDecodeData: |
|
|
658 | 658 | pwcode = numpy.sum(self.code[0]**2) |
|
|
659 | 659 | #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
|
660 | 660 | normFactor = self.nProfiles*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
|
661 | 661 | |
|
|
662 | 662 | return normFactor |
|
|
663 | 663 | |
|
|
664 | 664 | def getFlagCspc(self): |
|
|
665 | 665 | |
|
|
666 | 666 | if self.data_cspc is None: |
|
|
667 | 667 | return True |
|
|
668 | 668 | |
|
|
669 | 669 | return False |
|
|
670 | 670 | |
|
|
671 | 671 | def getFlagDc(self): |
|
|
672 | 672 | |
|
|
673 | 673 | if self.data_dc is None: |
|
|
674 | 674 | return True |
|
|
675 | 675 | |
|
|
676 | 676 | return False |
|
|
677 | 677 | |
|
|
678 | 678 | def getTimeInterval(self): |
|
|
679 | 679 | |
|
|
680 | 680 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt * self.nProfiles |
|
|
681 | 681 | |
|
|
682 | 682 | return timeInterval |
|
|
683 | 683 | |
|
|
684 | 684 | def getPower(self): |
|
|
685 | 685 | |
|
|
686 | 686 | factor = self.normFactor |
|
|
687 | 687 | z = self.data_spc/factor |
|
|
688 | 688 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
689 | 689 | avg = numpy.average(z, axis=1) |
|
|
690 | 690 | |
|
|
691 | 691 | return 10*numpy.log10(avg) |
|
|
692 | 692 | |
|
|
693 | 693 | def getCoherence(self, pairsList=None, phase=False): |
|
|
694 | 694 | |
|
|
695 | 695 | z = [] |
|
|
696 | 696 | if pairsList is None: |
|
|
697 | 697 | pairsIndexList = self.pairsIndexList |
|
|
698 | 698 | else: |
|
|
699 | 699 | pairsIndexList = [] |
|
|
700 | 700 | for pair in pairsList: |
|
|
701 | 701 | if pair not in self.pairsList: |
|
|
702 | 702 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
|
703 | 703 | pairsIndexList.append(self.pairsList.index(pair)) |
|
|
704 | 704 | for i in range(len(pairsIndexList)): |
|
|
705 | 705 | pair = self.pairsList[pairsIndexList[i]] |
|
|
706 | 706 | ccf = numpy.average(self.data_cspc[pairsIndexList[i], :, :], axis=0) |
|
|
707 | 707 | powa = numpy.average(self.data_spc[pair[0], :, :], axis=0) |
|
|
708 | 708 | powb = numpy.average(self.data_spc[pair[1], :, :], axis=0) |
|
|
709 | 709 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|
710 | 710 | if phase: |
|
|
711 | 711 | data = numpy.arctan2(avgcoherenceComplex.imag, |
|
|
712 | 712 | avgcoherenceComplex.real)*180/numpy.pi |
|
|
713 | 713 | else: |
|
|
714 | 714 | data = numpy.abs(avgcoherenceComplex) |
|
|
715 | 715 | |
|
|
716 | 716 | z.append(data) |
|
|
717 | 717 | |
|
|
718 | 718 | return numpy.array(z) |
|
|
719 | 719 | |
|
|
720 | 720 | def setValue(self, value): |
|
|
721 | 721 | |
|
|
722 | 722 | print "This property should not be initialized" |
|
|
723 | 723 | |
|
|
724 | 724 | return |
|
|
725 | 725 | |
|
|
726 | 726 | nPairs = property(getNPairs, setValue, "I'm the 'nPairs' property.") |
|
|
727 | 727 | pairsIndexList = property(getPairsIndexList, setValue, "I'm the 'pairsIndexList' property.") |
|
|
728 | 728 | normFactor = property(getNormFactor, setValue, "I'm the 'getNormFactor' property.") |
|
|
729 | 729 | flag_cspc = property(getFlagCspc, setValue) |
|
|
730 | 730 | flag_dc = property(getFlagDc, setValue) |
|
|
731 | 731 | noise = property(getNoise, setValue, "I'm the 'nHeights' property.") |
|
|
732 | 732 | timeInterval = property(getTimeInterval, setValue, "I'm the 'timeInterval' property") |
|
|
733 | 733 | |
|
|
734 | 734 | class SpectraHeis(Spectra): |
|
|
735 | 735 | |
|
|
736 | 736 | data_spc = None |
|
|
737 | 737 | |
|
|
738 | 738 | data_cspc = None |
|
|
739 | 739 | |
|
|
740 | 740 | data_dc = None |
|
|
741 | 741 | |
|
|
742 | 742 | nFFTPoints = None |
|
|
743 | 743 | |
|
|
744 | 744 | # nPairs = None |
|
|
745 | 745 | |
|
|
746 | 746 | pairsList = None |
|
|
747 | 747 | |
|
|
748 | 748 | nCohInt = None |
|
|
749 | 749 | |
|
|
750 | 750 | nIncohInt = None |
|
|
751 | 751 | |
|
|
752 | 752 | def __init__(self): |
|
|
753 | 753 | |
|
|
754 | 754 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
755 | 755 | |
|
|
756 | 756 | self.systemHeaderObj = SystemHeader() |
|
|
757 | 757 | |
|
|
758 | 758 | self.type = "SpectraHeis" |
|
|
759 | 759 | |
|
|
760 | 760 | # self.dtype = None |
|
|
761 | 761 | |
|
|
762 | 762 | # self.nChannels = 0 |
|
|
763 | 763 | |
|
|
764 | 764 | # self.nHeights = 0 |
|
|
765 | 765 | |
|
|
766 | 766 | self.nProfiles = None |
|
|
767 | 767 | |
|
|
768 | 768 | self.heightList = None |
|
|
769 | 769 | |
|
|
770 | 770 | self.channelList = None |
|
|
771 | 771 | |
|
|
772 | 772 | # self.channelIndexList = None |
|
|
773 | 773 | |
|
|
774 | 774 | self.flagNoData = True |
|
|
775 | 775 | |
|
|
776 | 776 | self.flagDiscontinuousBlock = False |
|
|
777 | 777 | |
|
|
778 | 778 | # self.nPairs = 0 |
|
|
779 | 779 | |
|
|
780 | 780 | self.utctime = None |
|
|
781 | 781 | |
|
|
782 | 782 | self.blocksize = None |
|
|
783 | 783 | |
|
|
784 | 784 | self.profileIndex = 0 |
|
|
785 | 785 | |
|
|
786 | 786 | self.nCohInt = 1 |
|
|
787 | 787 | |
|
|
788 | 788 | self.nIncohInt = 1 |
|
|
789 | 789 | |
|
|
790 | 790 | def getNormFactor(self): |
|
|
791 | 791 | pwcode = 1 |
|
|
792 | 792 | if self.flagDecodeData: |
|
|
793 | 793 | pwcode = numpy.sum(self.code[0]**2) |
|
|
794 | 794 | |
|
|
795 | 795 | normFactor = self.nIncohInt*self.nCohInt*pwcode |
|
|
796 | 796 | |
|
|
797 | 797 | return normFactor |
|
|
798 | 798 | |
|
|
799 | 799 | def getTimeInterval(self): |
|
|
800 | 800 | |
|
|
801 | 801 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
802 | 802 | |
|
|
803 | 803 | return timeInterval |
|
|
804 | 804 | |
|
|
805 | 805 | normFactor = property(getNormFactor, "I'm the 'getNormFactor' property.") |
|
|
806 | 806 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
807 | 807 | |
|
|
808 | 808 | class Fits(JROData): |
|
|
809 | 809 | |
|
|
810 | 810 | heightList = None |
|
|
811 | 811 | |
|
|
812 | 812 | channelList = None |
|
|
813 | 813 | |
|
|
814 | 814 | flagNoData = True |
|
|
815 | 815 | |
|
|
816 | 816 | flagDiscontinuousBlock = False |
|
|
817 | 817 | |
|
|
818 | 818 | useLocalTime = False |
|
|
819 | 819 | |
|
|
820 | 820 | utctime = None |
|
|
821 | 821 | |
|
|
822 | 822 | timeZone = None |
|
|
823 | 823 | |
|
|
824 | 824 | # ippSeconds = None |
|
|
825 | 825 | |
|
|
826 | 826 | # timeInterval = None |
|
|
827 | 827 | |
|
|
828 | 828 | nCohInt = None |
|
|
829 | 829 | |
|
|
830 | 830 | nIncohInt = None |
|
|
831 | 831 | |
|
|
832 | 832 | noise = None |
|
|
833 | 833 | |
|
|
834 | 834 | windowOfFilter = 1 |
|
|
835 | 835 | |
|
|
836 | 836 | #Speed of ligth |
|
|
837 | 837 | C = 3e8 |
|
|
838 | 838 | |
|
|
839 | 839 | frequency = 49.92e6 |
|
|
840 | 840 | |
|
|
841 | 841 | realtime = False |
|
|
842 | 842 | |
|
|
843 | 843 | |
|
|
844 | 844 | def __init__(self): |
|
|
845 | 845 | |
|
|
846 | 846 | self.type = "Fits" |
|
|
847 | 847 | |
|
|
848 | 848 | self.nProfiles = None |
|
|
849 | 849 | |
|
|
850 | 850 | self.heightList = None |
|
|
851 | 851 | |
|
|
852 | 852 | self.channelList = None |
|
|
853 | 853 | |
|
|
854 | 854 | # self.channelIndexList = None |
|
|
855 | 855 | |
|
|
856 | 856 | self.flagNoData = True |
|
|
857 | 857 | |
|
|
858 | 858 | self.utctime = None |
|
|
859 | 859 | |
|
|
860 | 860 | self.nCohInt = 1 |
|
|
861 | 861 | |
|
|
862 | 862 | self.nIncohInt = 1 |
|
|
863 | 863 | |
|
|
864 | 864 | self.useLocalTime = True |
|
|
865 | 865 | |
|
|
866 | 866 | self.profileIndex = 0 |
|
|
867 | 867 | |
|
|
868 | 868 | # self.utctime = None |
|
|
869 | 869 | # self.timeZone = None |
|
|
870 | 870 | # self.ltctime = None |
|
|
871 | 871 | # self.timeInterval = None |
|
|
872 | 872 | # self.header = None |
|
|
873 | 873 | # self.data_header = None |
|
|
874 | 874 | # self.data = None |
|
|
875 | 875 | # self.datatime = None |
|
|
876 | 876 | # self.flagNoData = False |
|
|
877 | 877 | # self.expName = '' |
|
|
878 | 878 | # self.nChannels = None |
|
|
879 | 879 | # self.nSamples = None |
|
|
880 | 880 | # self.dataBlocksPerFile = None |
|
|
881 | 881 | # self.comments = '' |
|
|
882 | 882 | # |
|
|
883 | 883 | |
|
|
884 | 884 | |
|
|
885 | 885 | def getltctime(self): |
|
|
886 | 886 | |
|
|
887 | 887 | if self.useLocalTime: |
|
|
888 | 888 | return self.utctime - self.timeZone*60 |
|
|
889 | 889 | |
|
|
890 | 890 | return self.utctime |
|
|
891 | 891 | |
|
|
892 | 892 | def getDatatime(self): |
|
|
893 | 893 | |
|
|
894 | 894 | datatime = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|
895 | 895 | return datatime |
|
|
896 | 896 | |
|
|
897 | 897 | def getTimeRange(self): |
|
|
898 | 898 | |
|
|
899 | 899 | datatime = [] |
|
|
900 | 900 | |
|
|
901 | 901 | datatime.append(self.ltctime) |
|
|
902 | 902 | datatime.append(self.ltctime + self.timeInterval) |
|
|
903 | 903 | |
|
|
904 | 904 | datatime = numpy.array(datatime) |
|
|
905 | 905 | |
|
|
906 | 906 | return datatime |
|
|
907 | 907 | |
|
|
908 | 908 | def getHeiRange(self): |
|
|
909 | 909 | |
|
|
910 | 910 | heis = self.heightList |
|
|
911 | 911 | |
|
|
912 | 912 | return heis |
|
|
913 | 913 | |
|
|
914 | 914 | def getNHeights(self): |
|
|
915 | 915 | |
|
|
916 | 916 | return len(self.heightList) |
|
|
917 | 917 | |
|
|
918 | 918 | def getNChannels(self): |
|
|
919 | 919 | |
|
|
920 | 920 | return len(self.channelList) |
|
|
921 | 921 | |
|
|
922 | 922 | def getChannelIndexList(self): |
|
|
923 | 923 | |
|
|
924 | 924 | return range(self.nChannels) |
|
|
925 | 925 | |
|
|
926 | 926 | def getNoise(self, type = 1): |
|
|
927 | 927 | |
|
|
928 | 928 | #noise = numpy.zeros(self.nChannels) |
|
|
929 | 929 | |
|
|
930 | 930 | if type == 1: |
|
|
931 | 931 | noise = self.getNoisebyHildebrand() |
|
|
932 | 932 | |
|
|
933 | 933 | if type == 2: |
|
|
934 | 934 | noise = self.getNoisebySort() |
|
|
935 | 935 | |
|
|
936 | 936 | if type == 3: |
|
|
937 | 937 | noise = self.getNoisebyWindow() |
|
|
938 | 938 | |
|
|
939 | 939 | return noise |
|
|
940 | 940 | |
|
|
941 | 941 | def getTimeInterval(self): |
|
|
942 | 942 | |
|
|
943 | 943 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
944 | 944 | |
|
|
945 | 945 | return timeInterval |
|
|
946 | 946 | |
|
|
947 | 947 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|
948 | 948 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
|
949 | 949 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|
950 | 950 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|
951 | 951 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
952 | 952 | |
|
|
953 | 953 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|
954 | 954 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
955 | 955 | |
|
|
956 | 956 | |
|
|
957 | 957 | class Correlation(JROData): |
|
|
958 | 958 | |
|
|
959 | 959 | noise = None |
|
|
960 | 960 | |
|
|
961 | 961 | SNR = None |
|
|
962 | 962 | |
|
|
963 | 963 | #-------------------------------------------------- |
|
|
964 | 964 | |
|
|
965 | 965 | mode = None |
|
|
966 | 966 | |
|
|
967 | 967 | split = False |
|
|
968 | 968 | |
|
|
969 | 969 | data_cf = None |
|
|
970 | 970 | |
|
|
971 | 971 | lags = None |
|
|
972 | 972 | |
|
|
973 | 973 | lagRange = None |
|
|
974 | 974 | |
|
|
975 | 975 | pairsList = None |
|
|
976 | 976 | |
|
|
977 | 977 | normFactor = None |
|
|
978 | 978 | |
|
|
979 | 979 | #-------------------------------------------------- |
|
|
980 | 980 | |
|
|
981 | 981 | # calculateVelocity = None |
|
|
982 | 982 | |
|
|
983 | 983 | nLags = None |
|
|
984 | 984 | |
|
|
985 | 985 | nPairs = None |
|
|
986 | 986 | |
|
|
987 | 987 | nAvg = None |
|
|
988 | 988 | |
|
|
989 | 989 | |
|
|
990 | 990 | def __init__(self): |
|
|
991 | 991 | ''' |
|
|
992 | 992 | Constructor |
|
|
993 | 993 | ''' |
|
|
994 | 994 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
995 | 995 | |
|
|
996 | 996 | self.systemHeaderObj = SystemHeader() |
|
|
997 | 997 | |
|
|
998 | 998 | self.type = "Correlation" |
|
|
999 | 999 | |
|
|
1000 | 1000 | self.data = None |
|
|
1001 | 1001 | |
|
|
1002 | 1002 | self.dtype = None |
|
|
1003 | 1003 | |
|
|
1004 | 1004 | self.nProfiles = None |
|
|
1005 | 1005 | |
|
|
1006 | 1006 | self.heightList = None |
|
|
1007 | 1007 | |
|
|
1008 | 1008 | self.channelList = None |
|
|
1009 | 1009 | |
|
|
1010 | 1010 | self.flagNoData = True |
|
|
1011 | 1011 | |
|
|
1012 | 1012 | self.flagDiscontinuousBlock = False |
|
|
1013 | 1013 | |
|
|
1014 | 1014 | self.utctime = None |
|
|
1015 | 1015 | |
|
|
1016 | 1016 | self.timeZone = None |
|
|
1017 | 1017 | |
|
|
1018 | 1018 | self.dstFlag = None |
|
|
1019 | 1019 | |
|
|
1020 | 1020 | self.errorCount = None |
|
|
1021 | 1021 | |
|
|
1022 | 1022 | self.blocksize = None |
|
|
1023 | 1023 | |
|
|
1024 | 1024 | self.flagDecodeData = False #asumo q la data no esta decodificada |
|
|
1025 | 1025 | |
|
|
1026 | 1026 | self.flagDeflipData = False #asumo q la data no esta sin flip |
|
|
1027 | 1027 | |
|
|
1028 | 1028 | self.pairsList = None |
|
|
1029 | 1029 | |
|
|
1030 | 1030 | self.nPoints = None |
|
|
1031 | 1031 | |
|
|
1032 | 1032 | def getPairsList(self): |
|
|
1033 | 1033 | |
|
|
1034 | 1034 | return self.pairsList |
|
|
1035 | 1035 | |
|
|
1036 | 1036 | def getNoise(self, mode = 2): |
|
|
1037 | 1037 | |
|
|
1038 | 1038 | indR = numpy.where(self.lagR == 0)[0][0] |
|
|
1039 | 1039 | indT = numpy.where(self.lagT == 0)[0][0] |
|
|
1040 | 1040 | |
|
|
1041 | 1041 | jspectra0 = self.data_corr[:,:,indR,:] |
|
|
1042 | 1042 | jspectra = copy.copy(jspectra0) |
|
|
1043 | 1043 | |
|
|
1044 | 1044 | num_chan = jspectra.shape[0] |
|
|
1045 | 1045 | num_hei = jspectra.shape[2] |
|
|
1046 | 1046 | |
|
|
1047 | 1047 | freq_dc = jspectra.shape[1]/2 |
|
|
1048 | 1048 | ind_vel = numpy.array([-2,-1,1,2]) + freq_dc |
|
|
1049 | 1049 | |
|
|
1050 | 1050 | if ind_vel[0]<0: |
|
|
1051 | 1051 | ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof |
|
|
1052 | 1052 | |
|
|
1053 | 1053 | if mode == 1: |
|
|
1054 | 1054 | jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION |
|
|
1055 | 1055 | |
|
|
1056 | 1056 | if mode == 2: |
|
|
1057 | 1057 | |
|
|
1058 | 1058 | vel = numpy.array([-2,-1,1,2]) |
|
|
1059 | 1059 | xx = numpy.zeros([4,4]) |
|
|
1060 | 1060 | |
|
|
1061 | 1061 | for fil in range(4): |
|
|
1062 | 1062 | xx[fil,:] = vel[fil]**numpy.asarray(range(4)) |
|
|
1063 | 1063 | |
|
|
1064 | 1064 | xx_inv = numpy.linalg.inv(xx) |
|
|
1065 | 1065 | xx_aux = xx_inv[0,:] |
|
|
1066 | 1066 | |
|
|
1067 | 1067 | for ich in range(num_chan): |
|
|
1068 | 1068 | yy = jspectra[ich,ind_vel,:] |
|
|
1069 | 1069 | jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
|
1070 | 1070 | |
|
|
1071 | 1071 | junkid = jspectra[ich,freq_dc,:]<=0 |
|
|
1072 | 1072 | cjunkid = sum(junkid) |
|
|
1073 | 1073 | |
|
|
1074 | 1074 | if cjunkid.any(): |
|
|
1075 | 1075 | jspectra[ich,freq_dc,junkid.nonzero()] = (jspectra[ich,ind_vel[1],junkid] + jspectra[ich,ind_vel[2],junkid])/2 |
|
|
1076 | 1076 | |
|
|
1077 | 1077 | noise = jspectra0[:,freq_dc,:] - jspectra[:,freq_dc,:] |
|
|
1078 | 1078 | |
|
|
1079 | 1079 | return noise |
|
|
1080 | 1080 | |
|
|
1081 | 1081 | def getTimeInterval(self): |
|
|
1082 | 1082 | |
|
|
1083 | 1083 | timeInterval = self.ippSeconds * self.nCohInt * self.nProfiles |
|
|
1084 | 1084 | |
|
|
1085 | 1085 | return timeInterval |
|
|
1086 | 1086 | |
|
|
1087 | 1087 | def splitFunctions(self): |
|
|
1088 | 1088 | |
|
|
1089 | 1089 | pairsList = self.pairsList |
|
|
1090 | 1090 | ccf_pairs = [] |
|
|
1091 | 1091 | acf_pairs = [] |
|
|
1092 | 1092 | ccf_ind = [] |
|
|
1093 | 1093 | acf_ind = [] |
|
|
1094 | 1094 | for l in range(len(pairsList)): |
|
|
1095 | 1095 | chan0 = pairsList[l][0] |
|
|
1096 | 1096 | chan1 = pairsList[l][1] |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | #Obteniendo pares de Autocorrelacion |
|
|
1099 | 1099 | if chan0 == chan1: |
|
|
1100 | 1100 | acf_pairs.append(chan0) |
|
|
1101 | 1101 | acf_ind.append(l) |
|
|
1102 | 1102 | else: |
|
|
1103 | 1103 | ccf_pairs.append(pairsList[l]) |
|
|
1104 | 1104 | ccf_ind.append(l) |
|
|
1105 | 1105 | |
|
|
1106 | 1106 | data_acf = self.data_cf[acf_ind] |
|
|
1107 | 1107 | data_ccf = self.data_cf[ccf_ind] |
|
|
1108 | 1108 | |
|
|
1109 | 1109 | return acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf |
|
|
1110 | 1110 | |
|
|
1111 | 1111 | def getNormFactor(self): |
|
|
1112 | 1112 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.splitFunctions() |
|
|
1113 | 1113 | acf_pairs = numpy.array(acf_pairs) |
|
|
1114 | 1114 | normFactor = numpy.zeros((self.nPairs,self.nHeights)) |
|
|
1115 | 1115 | |
|
|
1116 | 1116 | for p in range(self.nPairs): |
|
|
1117 | 1117 | pair = self.pairsList[p] |
|
|
1118 | 1118 | |
|
|
1119 | 1119 | ch0 = pair[0] |
|
|
1120 | 1120 | ch1 = pair[1] |
|
|
1121 | 1121 | |
|
|
1122 | 1122 | ch0_max = numpy.max(data_acf[acf_pairs==ch0,:,:], axis=1) |
|
|
1123 | 1123 | ch1_max = numpy.max(data_acf[acf_pairs==ch1,:,:], axis=1) |
|
|
1124 | 1124 | normFactor[p,:] = numpy.sqrt(ch0_max*ch1_max) |
|
|
1125 | 1125 | |
|
|
1126 | 1126 | return normFactor |
|
|
1127 | 1127 | |
|
|
1128 | 1128 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
1129 | 1129 | normFactor = property(getNormFactor, "I'm the 'normFactor property'") |
|
|
1130 | 1130 | |
|
|
1131 | 1131 | class Parameters(Spectra): |
|
|
1132 | 1132 | |
|
|
1133 | 1133 | experimentInfo = None #Information about the experiment |
|
|
1134 | 1134 | |
|
|
1135 | 1135 | #Information from previous data |
|
|
1136 | 1136 | |
|
|
1137 | 1137 | inputUnit = None #Type of data to be processed |
|
|
1138 | 1138 | |
|
|
1139 | 1139 | operation = None #Type of operation to parametrize |
|
|
1140 | 1140 | |
|
|
1141 | 1141 | #normFactor = None #Normalization Factor |
|
|
1142 | 1142 | |
|
|
1143 | 1143 | groupList = None #List of Pairs, Groups, etc |
|
|
1144 | 1144 | |
|
|
1145 | 1145 | #Parameters |
|
|
1146 | 1146 | |
|
|
1147 | 1147 | data_param = None #Parameters obtained |
|
|
1148 | 1148 | |
|
|
1149 | 1149 | data_pre = None #Data Pre Parametrization |
|
|
1150 | 1150 | |
|
|
1151 | 1151 | data_SNR = None #Signal to Noise Ratio |
|
|
1152 | 1152 | |
|
|
1153 | 1153 | # heightRange = None #Heights |
|
|
1154 | 1154 | |
|
|
1155 | 1155 | abscissaList = None #Abscissa, can be velocities, lags or time |
|
|
1156 | 1156 | |
|
|
1157 | 1157 | # noise = None #Noise Potency |
|
|
1158 | 1158 | |
|
|
1159 | 1159 | utctimeInit = None #Initial UTC time |
|
|
1160 | 1160 | |
|
|
1161 | 1161 | paramInterval = None #Time interval to calculate Parameters in seconds |
|
|
1162 | 1162 | |
|
|
1163 | 1163 | useLocalTime = True |
|
|
1164 | 1164 | |
|
|
1165 | 1165 | #Fitting |
|
|
1166 | 1166 | |
|
|
1167 | 1167 | data_error = None #Error of the estimation |
|
|
1168 | 1168 | |
|
|
1169 | 1169 | constants = None |
|
|
1170 | 1170 | |
|
|
1171 | 1171 | library = None |
|
|
1172 | 1172 | |
|
|
1173 | 1173 | #Output signal |
|
|
1174 | 1174 | |
|
|
1175 | 1175 | outputInterval = None #Time interval to calculate output signal in seconds |
|
|
1176 | 1176 | |
|
|
1177 | 1177 | data_output = None #Out signal |
|
|
1178 | 1178 | |
|
|
1179 | 1179 | nAvg = None |
|
|
1180 | 1180 | |
|
|
1181 | 1181 | noise_estimation = None |
|
|
1182 | ||
|
|
1183 | GauSPC = None #Fit gaussian SPC | |
|
|
1182 | 1184 | |
|
|
1183 | 1185 | |
|
|
1184 | 1186 | def __init__(self): |
|
|
1185 | 1187 | ''' |
|
|
1186 | 1188 | Constructor |
|
|
1187 | 1189 | ''' |
|
|
1188 | 1190 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1189 | 1191 | |
|
|
1190 | 1192 | self.systemHeaderObj = SystemHeader() |
|
|
1191 | 1193 | |
|
|
1192 | 1194 | self.type = "Parameters" |
|
|
1193 | 1195 | |
|
|
1194 | 1196 | def getTimeRange1(self, interval): |
|
|
1195 | 1197 | |
|
|
1196 | 1198 | datatime = [] |
|
|
1197 | 1199 | |
|
|
1198 | 1200 | if self.useLocalTime: |
|
|
1199 | 1201 | time1 = self.utctimeInit - self.timeZone*60 |
|
|
1200 | 1202 | else: |
|
|
1201 | 1203 | time1 = self.utctimeInit |
|
|
1202 | ||
|
|
1204 | print 'interval',interval | |
|
|
1203 | 1205 | datatime.append(time1) |
|
|
1204 | 1206 | datatime.append(time1 + interval) |
|
|
1205 | 1207 | datatime = numpy.array(datatime) |
|
|
1206 | 1208 | |
|
|
1207 | 1209 | return datatime |
|
|
1208 | 1210 | |
|
|
1209 | 1211 | def getTimeInterval(self): |
|
|
1210 | 1212 | |
|
|
1211 | 1213 | if hasattr(self, 'timeInterval1'): |
|
|
1212 | 1214 | return self.timeInterval1 |
|
|
1213 | 1215 | else: |
|
|
1214 | 1216 | return self.paramInterval |
|
|
1215 | 1217 | |
|
|
1218 | def setValue(self, value): | |
|
|
1219 | ||
|
|
1220 | print "This property should not be initialized" | |
|
|
1221 | ||
|
|
1222 | return | |
|
|
1223 | ||
|
|
1216 | 1224 | def getNoise(self): |
|
|
1217 | 1225 | |
|
|
1218 | 1226 | return self.spc_noise |
|
|
1219 | 1227 | |
|
|
1220 | 1228 | timeInterval = property(getTimeInterval) |
|
|
1229 | noise = property(getNoise, setValue, "I'm the 'Noise' property.") | |
|
|
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| @@ -1,1945 +1,2159 | |||
|
|
1 | 1 | import os |
|
|
2 | 2 | import datetime |
|
|
3 | 3 | import numpy |
|
|
4 | 4 | import inspect |
|
|
5 | 5 | from figure import Figure, isRealtime, isTimeInHourRange |
|
|
6 | 6 | from plotting_codes import * |
|
|
7 | 7 | |
|
|
8 | 8 | |
|
|
9 | class FitGauPlot(Figure): | |
|
|
10 | ||
|
|
11 | isConfig = None | |
|
|
12 | __nsubplots = None | |
|
|
13 | ||
|
|
14 | WIDTHPROF = None | |
|
|
15 | HEIGHTPROF = None | |
|
|
16 | PREFIX = 'fitgau' | |
|
|
17 | ||
|
|
18 | def __init__(self, **kwargs): | |
|
|
19 | Figure.__init__(self, **kwargs) | |
|
|
20 | self.isConfig = False | |
|
|
21 | self.__nsubplots = 1 | |
|
|
22 | ||
|
|
23 | self.WIDTH = 250 | |
|
|
24 | self.HEIGHT = 250 | |
|
|
25 | self.WIDTHPROF = 120 | |
|
|
26 | self.HEIGHTPROF = 0 | |
|
|
27 | self.counter_imagwr = 0 | |
|
|
28 | ||
|
|
29 | self.PLOT_CODE = SPEC_CODE | |
|
|
30 | ||
|
|
31 | self.FTP_WEI = None | |
|
|
32 | self.EXP_CODE = None | |
|
|
33 | self.SUB_EXP_CODE = None | |
|
|
34 | self.PLOT_POS = None | |
|
|
35 | ||
|
|
36 | self.__xfilter_ena = False | |
|
|
37 | self.__yfilter_ena = False | |
|
|
38 | ||
|
|
39 | def getSubplots(self): | |
|
|
40 | ||
|
|
41 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
|
|
42 | nrow = int(self.nplots*1./ncol + 0.9) | |
|
|
43 | ||
|
|
44 | return nrow, ncol | |
|
|
45 | ||
|
|
46 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
|
|
47 | ||
|
|
48 | self.__showprofile = showprofile | |
|
|
49 | self.nplots = nplots | |
|
|
50 | ||
|
|
51 | ncolspan = 1 | |
|
|
52 | colspan = 1 | |
|
|
53 | if showprofile: | |
|
|
54 | ncolspan = 3 | |
|
|
55 | colspan = 2 | |
|
|
56 | self.__nsubplots = 2 | |
|
|
57 | ||
|
|
58 | self.createFigure(id = id, | |
|
|
59 | wintitle = wintitle, | |
|
|
60 | widthplot = self.WIDTH + self.WIDTHPROF, | |
|
|
61 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
|
|
62 | show=show) | |
|
|
63 | ||
|
|
64 | nrow, ncol = self.getSubplots() | |
|
|
65 | ||
|
|
66 | counter = 0 | |
|
|
67 | for y in range(nrow): | |
|
|
68 | for x in range(ncol): | |
|
|
69 | ||
|
|
70 | if counter >= self.nplots: | |
|
|
71 | break | |
|
|
72 | ||
|
|
73 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
|
|
74 | ||
|
|
75 | if showprofile: | |
|
|
76 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
|
|
77 | ||
|
|
78 | counter += 1 | |
|
|
79 | ||
|
|
80 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
|
|
81 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
|
|
82 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
|
|
83 | server=None, folder=None, username=None, password=None, | |
|
|
84 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
|
|
85 | xaxis="frequency", colormap='jet', normFactor=None , GauSelector = 1): | |
|
|
86 | ||
|
|
87 | """ | |
|
|
88 | ||
|
|
89 | Input: | |
|
|
90 | dataOut : | |
|
|
91 | id : | |
|
|
92 | wintitle : | |
|
|
93 | channelList : | |
|
|
94 | showProfile : | |
|
|
95 | xmin : None, | |
|
|
96 | xmax : None, | |
|
|
97 | ymin : None, | |
|
|
98 | ymax : None, | |
|
|
99 | zmin : None, | |
|
|
100 | zmax : None | |
|
|
101 | """ | |
|
|
102 | if realtime: | |
|
|
103 | if not(isRealtime(utcdatatime = dataOut.utctime)): | |
|
|
104 | print 'Skipping this plot function' | |
|
|
105 | return | |
|
|
106 | ||
|
|
107 | if channelList == None: | |
|
|
108 | channelIndexList = dataOut.channelIndexList | |
|
|
109 | else: | |
|
|
110 | channelIndexList = [] | |
|
|
111 | for channel in channelList: | |
|
|
112 | if channel not in dataOut.channelList: | |
|
|
113 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel | |
|
|
114 | channelIndexList.append(dataOut.channelList.index(channel)) | |
|
|
115 | ||
|
|
116 | # if normFactor is None: | |
|
|
117 | # factor = dataOut.normFactor | |
|
|
118 | # else: | |
|
|
119 | # factor = normFactor | |
|
|
120 | if xaxis == "frequency": | |
|
|
121 | x = dataOut.spc_range[0] | |
|
|
122 | xlabel = "Frequency (kHz)" | |
|
|
123 | ||
|
|
124 | elif xaxis == "time": | |
|
|
125 | x = dataOut.spc_range[1] | |
|
|
126 | xlabel = "Time (ms)" | |
|
|
127 | ||
|
|
128 | else: | |
|
|
129 | x = dataOut.spc_range[2] | |
|
|
130 | xlabel = "Velocity (m/s)" | |
|
|
131 | ||
|
|
132 | ylabel = "Range (Km)" | |
|
|
133 | ||
|
|
134 | y = dataOut.getHeiRange() | |
|
|
135 | ||
|
|
136 | z = dataOut.GauSPC[:,GauSelector,:,:] #GauSelector] #dataOut.data_spc/factor | |
|
|
137 | print 'GausSPC', z[0,32,10:40] | |
|
|
138 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
|
|
139 | zdB = 10*numpy.log10(z) | |
|
|
140 | ||
|
|
141 | avg = numpy.average(z, axis=1) | |
|
|
142 | avgdB = 10*numpy.log10(avg) | |
|
|
143 | ||
|
|
144 | noise = dataOut.spc_noise | |
|
|
145 | noisedB = 10*numpy.log10(noise) | |
|
|
146 | ||
|
|
147 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
|
|
148 | title = wintitle + " Spectra" | |
|
|
149 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
|
|
150 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
|
|
151 | ||
|
|
152 | if not self.isConfig: | |
|
|
153 | ||
|
|
154 | nplots = len(channelIndexList) | |
|
|
155 | ||
|
|
156 | self.setup(id=id, | |
|
|
157 | nplots=nplots, | |
|
|
158 | wintitle=wintitle, | |
|
|
159 | showprofile=showprofile, | |
|
|
160 | show=show) | |
|
|
161 | ||
|
|
162 | if xmin == None: xmin = numpy.nanmin(x) | |
|
|
163 | if xmax == None: xmax = numpy.nanmax(x) | |
|
|
164 | if ymin == None: ymin = numpy.nanmin(y) | |
|
|
165 | if ymax == None: ymax = numpy.nanmax(y) | |
|
|
166 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
|
|
167 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
|
|
168 | ||
|
|
169 | self.FTP_WEI = ftp_wei | |
|
|
170 | self.EXP_CODE = exp_code | |
|
|
171 | self.SUB_EXP_CODE = sub_exp_code | |
|
|
172 | self.PLOT_POS = plot_pos | |
|
|
173 | ||
|
|
174 | self.isConfig = True | |
|
|
175 | ||
|
|
176 | self.setWinTitle(title) | |
|
|
177 | ||
|
|
178 | for i in range(self.nplots): | |
|
|
179 | index = channelIndexList[i] | |
|
|
180 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
|
|
181 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) | |
|
|
182 | if len(dataOut.beam.codeList) != 0: | |
|
|
183 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) | |
|
|
184 | ||
|
|
185 | axes = self.axesList[i*self.__nsubplots] | |
|
|
186 | axes.pcolor(x, y, zdB[index,:,:], | |
|
|
187 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
|
|
188 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, | |
|
|
189 | ticksize=9, cblabel='') | |
|
|
190 | ||
|
|
191 | if self.__showprofile: | |
|
|
192 | axes = self.axesList[i*self.__nsubplots +1] | |
|
|
193 | axes.pline(avgdB[index,:], y, | |
|
|
194 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
|
|
195 | xlabel='dB', ylabel='', title='', | |
|
|
196 | ytick_visible=False, | |
|
|
197 | grid='x') | |
|
|
198 | ||
|
|
199 | noiseline = numpy.repeat(noisedB[index], len(y)) | |
|
|
200 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |
|
|
201 | ||
|
|
202 | self.draw() | |
|
|
203 | ||
|
|
204 | if figfile == None: | |
|
|
205 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
|
|
206 | name = str_datetime | |
|
|
207 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
|
|
208 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
|
|
209 | figfile = self.getFilename(name) | |
|
|
210 | ||
|
|
211 | self.save(figpath=figpath, | |
|
|
212 | figfile=figfile, | |
|
|
213 | save=save, | |
|
|
214 | ftp=ftp, | |
|
|
215 | wr_period=wr_period, | |
|
|
216 | thisDatetime=thisDatetime) | |
|
|
217 | ||
|
|
218 | ||
|
|
219 | ||
|
|
9 | 220 | class MomentsPlot(Figure): |
|
|
10 | 221 | |
|
|
11 | 222 | isConfig = None |
|
|
12 | 223 | __nsubplots = None |
|
|
13 | 224 | |
|
|
14 | 225 | WIDTHPROF = None |
|
|
15 | 226 | HEIGHTPROF = None |
|
|
16 | 227 | PREFIX = 'prm' |
|
|
17 | 228 | |
|
|
18 | 229 | def __init__(self, **kwargs): |
|
|
19 | 230 | Figure.__init__(self, **kwargs) |
|
|
20 | 231 | self.isConfig = False |
|
|
21 | 232 | self.__nsubplots = 1 |
|
|
22 | 233 | |
|
|
23 | 234 | self.WIDTH = 280 |
|
|
24 | 235 | self.HEIGHT = 250 |
|
|
25 | 236 | self.WIDTHPROF = 120 |
|
|
26 | 237 | self.HEIGHTPROF = 0 |
|
|
27 | 238 | self.counter_imagwr = 0 |
|
|
28 | 239 | |
|
|
29 | 240 | self.PLOT_CODE = MOMENTS_CODE |
|
|
30 | 241 | |
|
|
31 | 242 | self.FTP_WEI = None |
|
|
32 | 243 | self.EXP_CODE = None |
|
|
33 | 244 | self.SUB_EXP_CODE = None |
|
|
34 | 245 | self.PLOT_POS = None |
|
|
35 | 246 | |
|
|
36 | 247 | def getSubplots(self): |
|
|
37 | 248 | |
|
|
38 | 249 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
39 | 250 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
40 | 251 | |
|
|
41 | 252 | return nrow, ncol |
|
|
42 | 253 | |
|
|
43 | 254 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
44 | 255 | |
|
|
45 | 256 | self.__showprofile = showprofile |
|
|
46 | 257 | self.nplots = nplots |
|
|
47 | 258 | |
|
|
48 | 259 | ncolspan = 1 |
|
|
49 | 260 | colspan = 1 |
|
|
50 | 261 | if showprofile: |
|
|
51 | 262 | ncolspan = 3 |
|
|
52 | 263 | colspan = 2 |
|
|
53 | 264 | self.__nsubplots = 2 |
|
|
54 | 265 | |
|
|
55 | 266 | self.createFigure(id = id, |
|
|
56 | 267 | wintitle = wintitle, |
|
|
57 | 268 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
58 | 269 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
59 | 270 | show=show) |
|
|
60 | 271 | |
|
|
61 | 272 | nrow, ncol = self.getSubplots() |
|
|
62 | 273 | |
|
|
63 | 274 | counter = 0 |
|
|
64 | 275 | for y in range(nrow): |
|
|
65 | 276 | for x in range(ncol): |
|
|
66 | 277 | |
|
|
67 | 278 | if counter >= self.nplots: |
|
|
68 | 279 | break |
|
|
69 | 280 | |
|
|
70 | 281 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
71 | 282 | |
|
|
72 | 283 | if showprofile: |
|
|
73 | 284 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
74 | 285 | |
|
|
75 | 286 | counter += 1 |
|
|
76 | 287 | |
|
|
77 | 288 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
78 | 289 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
79 | 290 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
80 | 291 | server=None, folder=None, username=None, password=None, |
|
|
81 | 292 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
|
82 | 293 | |
|
|
83 | 294 | """ |
|
|
84 | 295 | |
|
|
85 | 296 | Input: |
|
|
86 | 297 | dataOut : |
|
|
87 | 298 | id : |
|
|
88 | 299 | wintitle : |
|
|
89 | 300 | channelList : |
|
|
90 | 301 | showProfile : |
|
|
91 | 302 | xmin : None, |
|
|
92 | 303 | xmax : None, |
|
|
93 | 304 | ymin : None, |
|
|
94 | 305 | ymax : None, |
|
|
95 | 306 | zmin : None, |
|
|
96 | 307 | zmax : None |
|
|
97 | 308 | """ |
|
|
98 | 309 | |
|
|
99 | 310 | if dataOut.flagNoData: |
|
|
100 | 311 | return None |
|
|
101 | 312 | |
|
|
102 | 313 | if realtime: |
|
|
103 | 314 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|
104 | 315 | print 'Skipping this plot function' |
|
|
105 | 316 | return |
|
|
106 | 317 | |
|
|
107 | 318 | if channelList == None: |
|
|
108 | 319 | channelIndexList = dataOut.channelIndexList |
|
|
109 | 320 | else: |
|
|
110 | 321 | channelIndexList = [] |
|
|
111 | 322 | for channel in channelList: |
|
|
112 | 323 | if channel not in dataOut.channelList: |
|
|
113 | 324 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
114 | 325 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
115 | 326 | |
|
|
116 | 327 | factor = dataOut.normFactor |
|
|
117 | 328 | x = dataOut.abscissaList |
|
|
118 | 329 | y = dataOut.heightList |
|
|
119 | 330 | |
|
|
120 | 331 | z = dataOut.data_pre[channelIndexList,:,:]/factor |
|
|
121 | 332 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
122 | 333 | avg = numpy.average(z, axis=1) |
|
|
123 | 334 | noise = dataOut.noise/factor |
|
|
124 | 335 | |
|
|
125 | 336 | zdB = 10*numpy.log10(z) |
|
|
126 | 337 | avgdB = 10*numpy.log10(avg) |
|
|
127 | 338 | noisedB = 10*numpy.log10(noise) |
|
|
128 | 339 | |
|
|
129 | 340 | #thisDatetime = dataOut.datatime |
|
|
130 | 341 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
131 | 342 | title = wintitle + " Parameters" |
|
|
132 | 343 | xlabel = "Velocity (m/s)" |
|
|
133 | 344 | ylabel = "Range (Km)" |
|
|
134 | 345 | |
|
|
135 | 346 | update_figfile = False |
|
|
136 | 347 | |
|
|
137 | 348 | if not self.isConfig: |
|
|
138 | 349 | |
|
|
139 | 350 | nplots = len(channelIndexList) |
|
|
140 | 351 | |
|
|
141 | 352 | self.setup(id=id, |
|
|
142 | 353 | nplots=nplots, |
|
|
143 | 354 | wintitle=wintitle, |
|
|
144 | 355 | showprofile=showprofile, |
|
|
145 | 356 | show=show) |
|
|
146 | 357 | |
|
|
147 | 358 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
148 | 359 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
149 | 360 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
150 | 361 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
151 | 362 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
|
152 | 363 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
|
153 | 364 | |
|
|
154 | 365 | self.FTP_WEI = ftp_wei |
|
|
155 | 366 | self.EXP_CODE = exp_code |
|
|
156 | 367 | self.SUB_EXP_CODE = sub_exp_code |
|
|
157 | 368 | self.PLOT_POS = plot_pos |
|
|
158 | 369 | |
|
|
159 | 370 | self.isConfig = True |
|
|
160 | 371 | update_figfile = True |
|
|
161 | 372 | |
|
|
162 | 373 | self.setWinTitle(title) |
|
|
163 | 374 | |
|
|
164 | 375 | for i in range(self.nplots): |
|
|
165 | 376 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
166 | 377 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime) |
|
|
167 | 378 | axes = self.axesList[i*self.__nsubplots] |
|
|
168 | 379 | axes.pcolor(x, y, zdB[i,:,:], |
|
|
169 | 380 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
170 | 381 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
171 | 382 | ticksize=9, cblabel='') |
|
|
172 | 383 | #Mean Line |
|
|
173 | 384 | mean = dataOut.data_param[i, 1, :] |
|
|
174 | 385 | axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1) |
|
|
175 | 386 | |
|
|
176 | 387 | if self.__showprofile: |
|
|
177 | 388 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
178 | 389 | axes.pline(avgdB[i], y, |
|
|
179 | 390 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
180 | 391 | xlabel='dB', ylabel='', title='', |
|
|
181 | 392 | ytick_visible=False, |
|
|
182 | 393 | grid='x') |
|
|
183 | 394 | |
|
|
184 | 395 | noiseline = numpy.repeat(noisedB[i], len(y)) |
|
|
185 | 396 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
|
186 | 397 | |
|
|
187 | 398 | self.draw() |
|
|
188 | 399 | |
|
|
189 | 400 | self.save(figpath=figpath, |
|
|
190 | 401 | figfile=figfile, |
|
|
191 | 402 | save=save, |
|
|
192 | 403 | ftp=ftp, |
|
|
193 | 404 | wr_period=wr_period, |
|
|
194 | 405 | thisDatetime=thisDatetime) |
|
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195 | 406 | |
|
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196 | 407 | |
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197 | 408 | |
|
|
198 | 409 | class SkyMapPlot(Figure): |
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199 | 410 | |
|
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200 | 411 | __isConfig = None |
|
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201 | 412 | __nsubplots = None |
|
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202 | 413 | |
|
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203 | 414 | WIDTHPROF = None |
|
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204 | 415 | HEIGHTPROF = None |
|
|
205 | 416 | PREFIX = 'mmap' |
|
|
206 | 417 | |
|
|
207 | 418 | def __init__(self, **kwargs): |
|
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208 | 419 | Figure.__init__(self, **kwargs) |
|
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209 | 420 | self.isConfig = False |
|
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210 | 421 | self.__nsubplots = 1 |
|
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211 | 422 | |
|
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212 | 423 | # self.WIDTH = 280 |
|
|
213 | 424 | # self.HEIGHT = 250 |
|
|
214 | 425 | self.WIDTH = 600 |
|
|
215 | 426 | self.HEIGHT = 600 |
|
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216 | 427 | self.WIDTHPROF = 120 |
|
|
217 | 428 | self.HEIGHTPROF = 0 |
|
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218 | 429 | self.counter_imagwr = 0 |
|
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219 | 430 | |
|
|
220 | 431 | self.PLOT_CODE = MSKYMAP_CODE |
|
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221 | 432 | |
|
|
222 | 433 | self.FTP_WEI = None |
|
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223 | 434 | self.EXP_CODE = None |
|
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224 | 435 | self.SUB_EXP_CODE = None |
|
|
225 | 436 | self.PLOT_POS = None |
|
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226 | 437 | |
|
|
227 | 438 | def getSubplots(self): |
|
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228 | 439 | |
|
|
229 | 440 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
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230 | 441 | nrow = int(self.nplots*1./ncol + 0.9) |
|
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231 | 442 | |
|
|
232 | 443 | return nrow, ncol |
|
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233 | 444 | |
|
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234 | 445 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
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235 | 446 | |
|
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236 | 447 | self.__showprofile = showprofile |
|
|
237 | 448 | self.nplots = nplots |
|
|
238 | 449 | |
|
|
239 | 450 | ncolspan = 1 |
|
|
240 | 451 | colspan = 1 |
|
|
241 | 452 | |
|
|
242 | 453 | self.createFigure(id = id, |
|
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243 | 454 | wintitle = wintitle, |
|
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244 | 455 | widthplot = self.WIDTH, #+ self.WIDTHPROF, |
|
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245 | 456 | heightplot = self.HEIGHT,# + self.HEIGHTPROF, |
|
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246 | 457 | show=show) |
|
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247 | 458 | |
|
|
248 | 459 | nrow, ncol = 1,1 |
|
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249 | 460 | counter = 0 |
|
|
250 | 461 | x = 0 |
|
|
251 | 462 | y = 0 |
|
|
252 | 463 | self.addAxes(1, 1, 0, 0, 1, 1, True) |
|
|
253 | 464 | |
|
|
254 | 465 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
|
255 | 466 | tmin=0, tmax=24, timerange=None, |
|
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256 | 467 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
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257 | 468 | server=None, folder=None, username=None, password=None, |
|
|
258 | 469 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
|
259 | 470 | |
|
|
260 | 471 | """ |
|
|
261 | 472 | |
|
|
262 | 473 | Input: |
|
|
263 | 474 | dataOut : |
|
|
264 | 475 | id : |
|
|
265 | 476 | wintitle : |
|
|
266 | 477 | channelList : |
|
|
267 | 478 | showProfile : |
|
|
268 | 479 | xmin : None, |
|
|
269 | 480 | xmax : None, |
|
|
270 | 481 | ymin : None, |
|
|
271 | 482 | ymax : None, |
|
|
272 | 483 | zmin : None, |
|
|
273 | 484 | zmax : None |
|
|
274 | 485 | """ |
|
|
275 | 486 | |
|
|
276 | 487 | arrayParameters = dataOut.data_param |
|
|
277 | 488 | error = arrayParameters[:,-1] |
|
|
278 | 489 | indValid = numpy.where(error == 0)[0] |
|
|
279 | 490 | finalMeteor = arrayParameters[indValid,:] |
|
|
280 | 491 | finalAzimuth = finalMeteor[:,3] |
|
|
281 | 492 | finalZenith = finalMeteor[:,4] |
|
|
282 | 493 | |
|
|
283 | 494 | x = finalAzimuth*numpy.pi/180 |
|
|
284 | 495 | y = finalZenith |
|
|
285 | 496 | x1 = [dataOut.ltctime, dataOut.ltctime] |
|
|
286 | 497 | |
|
|
287 | 498 | #thisDatetime = dataOut.datatime |
|
|
288 | 499 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
289 | 500 | title = wintitle + " Parameters" |
|
|
290 | 501 | xlabel = "Zonal Zenith Angle (deg) " |
|
|
291 | 502 | ylabel = "Meridional Zenith Angle (deg)" |
|
|
292 | 503 | update_figfile = False |
|
|
293 | 504 | |
|
|
294 | 505 | if not self.isConfig: |
|
|
295 | 506 | |
|
|
296 | 507 | nplots = 1 |
|
|
297 | 508 | |
|
|
298 | 509 | self.setup(id=id, |
|
|
299 | 510 | nplots=nplots, |
|
|
300 | 511 | wintitle=wintitle, |
|
|
301 | 512 | showprofile=showprofile, |
|
|
302 | 513 | show=show) |
|
|
303 | 514 | |
|
|
304 | 515 | if self.xmin is None and self.xmax is None: |
|
|
305 | 516 | self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange) |
|
|
306 | 517 | |
|
|
307 | 518 | if timerange != None: |
|
|
308 | 519 | self.timerange = timerange |
|
|
309 | 520 | else: |
|
|
310 | 521 | self.timerange = self.xmax - self.xmin |
|
|
311 | 522 | |
|
|
312 | 523 | self.FTP_WEI = ftp_wei |
|
|
313 | 524 | self.EXP_CODE = exp_code |
|
|
314 | 525 | self.SUB_EXP_CODE = sub_exp_code |
|
|
315 | 526 | self.PLOT_POS = plot_pos |
|
|
316 | 527 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
317 | 528 | self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
318 | 529 | self.isConfig = True |
|
|
319 | 530 | update_figfile = True |
|
|
320 | 531 | |
|
|
321 | 532 | self.setWinTitle(title) |
|
|
322 | 533 | |
|
|
323 | 534 | i = 0 |
|
|
324 | 535 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
325 | 536 | |
|
|
326 | 537 | axes = self.axesList[i*self.__nsubplots] |
|
|
327 | 538 | nevents = axes.x_buffer.shape[0] + x.shape[0] |
|
|
328 | 539 | title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents) |
|
|
329 | 540 | axes.polar(x, y, |
|
|
330 | 541 | title=title, xlabel=xlabel, ylabel=ylabel, |
|
|
331 | 542 | ticksize=9, cblabel='') |
|
|
332 | 543 | |
|
|
333 | 544 | self.draw() |
|
|
334 | 545 | |
|
|
335 | 546 | self.save(figpath=figpath, |
|
|
336 | 547 | figfile=figfile, |
|
|
337 | 548 | save=save, |
|
|
338 | 549 | ftp=ftp, |
|
|
339 | 550 | wr_period=wr_period, |
|
|
340 | 551 | thisDatetime=thisDatetime, |
|
|
341 | 552 | update_figfile=update_figfile) |
|
|
342 | 553 | |
|
|
343 | 554 | if dataOut.ltctime >= self.xmax: |
|
|
344 | 555 | self.isConfigmagwr = wr_period |
|
|
345 | 556 | self.isConfig = False |
|
|
346 | 557 | update_figfile = True |
|
|
347 | 558 | axes.__firsttime = True |
|
|
348 | 559 | self.xmin += self.timerange |
|
|
349 | 560 | self.xmax += self.timerange |
|
|
350 | 561 | |
|
|
351 | 562 | |
|
|
352 | 563 | |
|
|
353 | 564 | |
|
|
354 | 565 | class WindProfilerPlot(Figure): |
|
|
355 | 566 | |
|
|
356 | 567 | __isConfig = None |
|
|
357 | 568 | __nsubplots = None |
|
|
358 | 569 | |
|
|
359 | 570 | WIDTHPROF = None |
|
|
360 | 571 | HEIGHTPROF = None |
|
|
361 | 572 | PREFIX = 'wind' |
|
|
362 | 573 | |
|
|
363 | 574 | def __init__(self, **kwargs): |
|
|
364 | 575 | Figure.__init__(self, **kwargs) |
|
|
365 | 576 | self.timerange = None |
|
|
366 | 577 | self.isConfig = False |
|
|
367 | 578 | self.__nsubplots = 1 |
|
|
368 | 579 | |
|
|
369 | 580 | self.WIDTH = 800 |
|
|
370 | 581 | self.HEIGHT = 300 |
|
|
371 | 582 | self.WIDTHPROF = 120 |
|
|
372 | 583 | self.HEIGHTPROF = 0 |
|
|
373 | 584 | self.counter_imagwr = 0 |
|
|
374 | 585 | |
|
|
375 | 586 | self.PLOT_CODE = WIND_CODE |
|
|
376 | 587 | |
|
|
377 | 588 | self.FTP_WEI = None |
|
|
378 | 589 | self.EXP_CODE = None |
|
|
379 | 590 | self.SUB_EXP_CODE = None |
|
|
380 | 591 | self.PLOT_POS = None |
|
|
381 | 592 | self.tmin = None |
|
|
382 | 593 | self.tmax = None |
|
|
383 | 594 | |
|
|
384 | 595 | self.xmin = None |
|
|
385 | 596 | self.xmax = None |
|
|
386 | 597 | |
|
|
387 | 598 | self.figfile = None |
|
|
388 | 599 | |
|
|
389 | 600 | def getSubplots(self): |
|
|
390 | 601 | |
|
|
391 | 602 | ncol = 1 |
|
|
392 | 603 | nrow = self.nplots |
|
|
393 | 604 | |
|
|
394 | 605 | return nrow, ncol |
|
|
395 | 606 | |
|
|
396 | 607 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
397 | 608 | |
|
|
398 | 609 | self.__showprofile = showprofile |
|
|
399 | 610 | self.nplots = nplots |
|
|
400 | 611 | |
|
|
401 | 612 | ncolspan = 1 |
|
|
402 | 613 | colspan = 1 |
|
|
403 | 614 | |
|
|
404 | 615 | self.createFigure(id = id, |
|
|
405 | 616 | wintitle = wintitle, |
|
|
406 | 617 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
407 | 618 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
408 | 619 | show=show) |
|
|
409 | 620 | |
|
|
410 | 621 | nrow, ncol = self.getSubplots() |
|
|
411 | 622 | |
|
|
412 | 623 | counter = 0 |
|
|
413 | 624 | for y in range(nrow): |
|
|
414 | 625 | if counter >= self.nplots: |
|
|
415 | 626 | break |
|
|
416 | 627 | |
|
|
417 | 628 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) |
|
|
418 | 629 | counter += 1 |
|
|
419 | 630 | |
|
|
420 | 631 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False', |
|
|
421 | 632 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
422 | 633 | zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None, |
|
|
423 | 634 | timerange=None, SNRthresh = None, |
|
|
424 | 635 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
425 | 636 | server=None, folder=None, username=None, password=None, |
|
|
426 | 637 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
427 | 638 | """ |
|
|
428 | 639 | |
|
|
429 | 640 | Input: |
|
|
430 | 641 | dataOut : |
|
|
431 | 642 | id : |
|
|
432 | 643 | wintitle : |
|
|
433 | 644 | channelList : |
|
|
434 | 645 | showProfile : |
|
|
435 | 646 | xmin : None, |
|
|
436 | 647 | xmax : None, |
|
|
437 | 648 | ymin : None, |
|
|
438 | 649 | ymax : None, |
|
|
439 | 650 | zmin : None, |
|
|
440 | 651 | zmax : None |
|
|
441 | 652 | """ |
|
|
442 | 653 | |
|
|
443 | 654 | # if timerange is not None: |
|
|
444 | 655 | # self.timerange = timerange |
|
|
445 | 656 | # |
|
|
446 | 657 | # tmin = None |
|
|
447 | 658 | # tmax = None |
|
|
448 | 659 | |
|
|
449 | ||
|
|
450 | x = dataOut.getTimeRange1(dataOut.outputInterval) | |
|
|
660 | x = dataOut.getTimeRange1(dataOut.paramInterval) | |
|
|
451 | 661 | y = dataOut.heightList |
|
|
452 | 662 | z = dataOut.data_output.copy() |
|
|
663 | print ' ' | |
|
|
664 | print 'Xvel',z[0] | |
|
|
665 | print ' ' | |
|
|
666 | print 'Yvel',z[1] | |
|
|
667 | print ' ' | |
|
|
453 | 668 | nplots = z.shape[0] #Number of wind dimensions estimated |
|
|
454 | 669 | nplotsw = nplots |
|
|
455 | 670 | |
|
|
456 | 671 | |
|
|
457 | 672 | #If there is a SNR function defined |
|
|
458 | 673 | if dataOut.data_SNR is not None: |
|
|
459 | 674 | nplots += 1 |
|
|
460 | 675 | SNR = dataOut.data_SNR |
|
|
461 | 676 | SNRavg = numpy.average(SNR, axis=0) |
|
|
462 | 677 | |
|
|
463 | 678 | SNRdB = 10*numpy.log10(SNR) |
|
|
464 | 679 | SNRavgdB = 10*numpy.log10(SNRavg) |
|
|
465 | 680 | |
|
|
466 | 681 | if SNRthresh == None: SNRthresh = -5.0 |
|
|
467 | 682 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] |
|
|
468 | 683 | |
|
|
469 | 684 | for i in range(nplotsw): |
|
|
470 | 685 | z[i,ind] = numpy.nan |
|
|
471 | 686 | |
|
|
472 | 687 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
473 | 688 | #thisDatetime = datetime.datetime.now() |
|
|
474 | 689 | title = wintitle + "Wind" |
|
|
475 | 690 | xlabel = "" |
|
|
476 | 691 | ylabel = "Height (km)" |
|
|
477 | 692 | update_figfile = False |
|
|
478 | 693 | |
|
|
479 | 694 | if not self.isConfig: |
|
|
480 | 695 | |
|
|
481 | 696 | self.setup(id=id, |
|
|
482 | 697 | nplots=nplots, |
|
|
483 | 698 | wintitle=wintitle, |
|
|
484 | 699 | showprofile=showprofile, |
|
|
485 | 700 | show=show) |
|
|
486 | 701 | |
|
|
487 | 702 | if timerange is not None: |
|
|
488 | 703 | self.timerange = timerange |
|
|
489 | 704 | |
|
|
490 | 705 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
491 | 706 | |
|
|
492 | 707 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
493 | 708 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
494 | 709 | |
|
|
495 | 710 | if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:])) |
|
|
496 | 711 | #if numpy.isnan(zmax): zmax = 50 |
|
|
497 | 712 | if zmin == None: zmin = -zmax |
|
|
498 | 713 | |
|
|
499 | 714 | if nplotsw == 3: |
|
|
500 | 715 | if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:])) |
|
|
501 | 716 | if zmin_ver == None: zmin_ver = -zmax_ver |
|
|
502 | 717 | |
|
|
503 | 718 | if dataOut.data_SNR is not None: |
|
|
504 | 719 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) |
|
|
505 | 720 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) |
|
|
506 | 721 | |
|
|
507 | 722 | |
|
|
508 | 723 | self.FTP_WEI = ftp_wei |
|
|
509 | 724 | self.EXP_CODE = exp_code |
|
|
510 | 725 | self.SUB_EXP_CODE = sub_exp_code |
|
|
511 | 726 | self.PLOT_POS = plot_pos |
|
|
512 | 727 | |
|
|
513 | 728 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
514 | 729 | self.isConfig = True |
|
|
515 | 730 | self.figfile = figfile |
|
|
516 | 731 | update_figfile = True |
|
|
517 | 732 | |
|
|
518 | 733 | self.setWinTitle(title) |
|
|
519 | 734 | |
|
|
520 | 735 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|
521 | 736 | x[1] = self.xmax |
|
|
522 | 737 | |
|
|
523 | 738 | strWind = ['Zonal', 'Meridional', 'Vertical'] |
|
|
524 | 739 | strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)'] |
|
|
525 | 740 | zmaxVector = [zmax, zmax, zmax_ver] |
|
|
526 | 741 | zminVector = [zmin, zmin, zmin_ver] |
|
|
527 | 742 | windFactor = [1,1,100] |
|
|
528 | 743 | |
|
|
529 | 744 | for i in range(nplotsw): |
|
|
530 | 745 | |
|
|
531 | 746 | title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
532 | 747 | axes = self.axesList[i*self.__nsubplots] |
|
|
533 | 748 | |
|
|
534 | 749 | z1 = z[i,:].reshape((1,-1))*windFactor[i] |
|
|
535 | 750 | #z1=numpy.ma.masked_where(z1==0.,z1) |
|
|
536 | 751 | |
|
|
537 | 752 | axes.pcolorbuffer(x, y, z1, |
|
|
538 | 753 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], |
|
|
539 | 754 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
540 | 755 | ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="seismic" ) |
|
|
541 | 756 | |
|
|
542 | 757 | if dataOut.data_SNR is not None: |
|
|
543 | 758 | i += 1 |
|
|
544 | 759 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
545 | 760 | axes = self.axesList[i*self.__nsubplots] |
|
|
546 | 761 | SNRavgdB = SNRavgdB.reshape((1,-1)) |
|
|
547 | 762 | axes.pcolorbuffer(x, y, SNRavgdB, |
|
|
548 | 763 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
549 | 764 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
550 | 765 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") |
|
|
551 | 766 | |
|
|
552 | 767 | self.draw() |
|
|
553 | 768 | |
|
|
554 | 769 | self.save(figpath=figpath, |
|
|
555 | 770 | figfile=figfile, |
|
|
556 | 771 | save=save, |
|
|
557 | 772 | ftp=ftp, |
|
|
558 | 773 | wr_period=wr_period, |
|
|
559 | 774 | thisDatetime=thisDatetime, |
|
|
560 | 775 | update_figfile=update_figfile) |
|
|
561 | 776 | |
|
|
562 |
if dataOut.ltctime + dataOut. |
|
|
|
777 | if dataOut.ltctime + dataOut.paramInterval >= self.xmax: | |
|
|
563 | 778 | self.counter_imagwr = wr_period |
|
|
564 | 779 | self.isConfig = False |
|
|
565 | 780 | update_figfile = True |
|
|
566 | 781 | |
|
|
567 | 782 | |
|
|
568 | 783 | class ParametersPlot(Figure): |
|
|
569 | 784 | |
|
|
570 | 785 | __isConfig = None |
|
|
571 | 786 | __nsubplots = None |
|
|
572 | 787 | |
|
|
573 | 788 | WIDTHPROF = None |
|
|
574 | 789 | HEIGHTPROF = None |
|
|
575 | 790 | PREFIX = 'param' |
|
|
576 | 791 | |
|
|
577 | 792 | nplots = None |
|
|
578 | 793 | nchan = None |
|
|
579 | 794 | |
|
|
580 | 795 | def __init__(self, **kwargs): |
|
|
581 | 796 | Figure.__init__(self, **kwargs) |
|
|
582 | 797 | self.timerange = None |
|
|
583 | 798 | self.isConfig = False |
|
|
584 | 799 | self.__nsubplots = 1 |
|
|
585 | 800 | |
|
|
586 | 801 | self.WIDTH = 800 |
|
|
587 | 802 | self.HEIGHT = 180 |
|
|
588 | 803 | self.WIDTHPROF = 120 |
|
|
589 | 804 | self.HEIGHTPROF = 0 |
|
|
590 | 805 | self.counter_imagwr = 0 |
|
|
591 | 806 | |
|
|
592 | 807 | self.PLOT_CODE = RTI_CODE |
|
|
593 | 808 | |
|
|
594 | 809 | self.FTP_WEI = None |
|
|
595 | 810 | self.EXP_CODE = None |
|
|
596 | 811 | self.SUB_EXP_CODE = None |
|
|
597 | 812 | self.PLOT_POS = None |
|
|
598 | 813 | self.tmin = None |
|
|
599 | 814 | self.tmax = None |
|
|
600 | 815 | |
|
|
601 | 816 | self.xmin = None |
|
|
602 | 817 | self.xmax = None |
|
|
603 | 818 | |
|
|
604 | 819 | self.figfile = None |
|
|
605 | 820 | |
|
|
606 | 821 | def getSubplots(self): |
|
|
607 | 822 | |
|
|
608 | 823 | ncol = 1 |
|
|
609 | 824 | nrow = self.nplots |
|
|
610 | 825 | |
|
|
611 | 826 | return nrow, ncol |
|
|
612 | 827 | |
|
|
613 | 828 | def setup(self, id, nplots, wintitle, show=True): |
|
|
614 | 829 | |
|
|
615 | 830 | self.nplots = nplots |
|
|
616 | 831 | |
|
|
617 | 832 | ncolspan = 1 |
|
|
618 | 833 | colspan = 1 |
|
|
619 | 834 | |
|
|
620 | 835 | self.createFigure(id = id, |
|
|
621 | 836 | wintitle = wintitle, |
|
|
622 | 837 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
623 | 838 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
624 | 839 | show=show) |
|
|
625 | 840 | |
|
|
626 | 841 | nrow, ncol = self.getSubplots() |
|
|
627 | 842 | |
|
|
628 | 843 | counter = 0 |
|
|
629 | 844 | for y in range(nrow): |
|
|
630 | 845 | for x in range(ncol): |
|
|
631 | 846 | |
|
|
632 | 847 | if counter >= self.nplots: |
|
|
633 | 848 | break |
|
|
634 | 849 | |
|
|
635 | 850 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
636 | 851 | |
|
|
637 | 852 | counter += 1 |
|
|
638 | 853 | |
|
|
639 |
def run(self, dataOut, id, wintitle="", channelList=None, paramIndex = 0, colormap= |
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|
|
854 | def run(self, dataOut, id, wintitle="", channelList=None, paramIndex = 0, colormap="jet", | |
|
|
640 | 855 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, timerange=None, |
|
|
641 | 856 | showSNR=False, SNRthresh = -numpy.inf, SNRmin=None, SNRmax=None, |
|
|
642 | 857 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
643 | 858 | server=None, folder=None, username=None, password=None, |
|
|
644 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
|
|
859 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, HEIGHT=None): | |
|
|
645 | 860 | """ |
|
|
646 | 861 | |
|
|
647 | 862 | Input: |
|
|
648 | 863 | dataOut : |
|
|
649 | 864 | id : |
|
|
650 | 865 | wintitle : |
|
|
651 | 866 | channelList : |
|
|
652 | 867 | showProfile : |
|
|
653 | 868 | xmin : None, |
|
|
654 | 869 | xmax : None, |
|
|
655 | 870 | ymin : None, |
|
|
656 | 871 | ymax : None, |
|
|
657 | 872 | zmin : None, |
|
|
658 | 873 | zmax : None |
|
|
659 | 874 | """ |
|
|
660 | ||
|
|
661 | if colormap: | |
|
|
662 | colormap="jet" | |
|
|
663 |
|
|
|
|
664 | colormap="RdBu_r" | |
|
|
665 | ||
|
|
875 | ||
|
|
876 | if HEIGHT is not None: | |
|
|
877 | self.HEIGHT = HEIGHT | |
|
|
878 | ||
|
|
879 | ||
|
|
666 | 880 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
667 | 881 | return |
|
|
668 | 882 | |
|
|
669 | 883 | if channelList == None: |
|
|
670 | 884 | channelIndexList = range(dataOut.data_param.shape[0]) |
|
|
671 | 885 | else: |
|
|
672 | 886 | channelIndexList = [] |
|
|
673 | 887 | for channel in channelList: |
|
|
674 | 888 | if channel not in dataOut.channelList: |
|
|
675 | 889 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
676 | 890 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
677 | 891 | |
|
|
678 | 892 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
|
679 | 893 | y = dataOut.getHeiRange() |
|
|
680 | 894 | |
|
|
681 | 895 | if dataOut.data_param.ndim == 3: |
|
|
682 | 896 | z = dataOut.data_param[channelIndexList,paramIndex,:] |
|
|
683 | 897 | else: |
|
|
684 | 898 | z = dataOut.data_param[channelIndexList,:] |
|
|
685 | 899 | |
|
|
686 | 900 | if showSNR: |
|
|
687 | 901 | #SNR data |
|
|
688 | 902 | SNRarray = dataOut.data_SNR[channelIndexList,:] |
|
|
689 | 903 | SNRdB = 10*numpy.log10(SNRarray) |
|
|
690 | 904 | ind = numpy.where(SNRdB < SNRthresh) |
|
|
691 | 905 | z[ind] = numpy.nan |
|
|
692 | 906 | |
|
|
693 | 907 | thisDatetime = dataOut.datatime |
|
|
694 | 908 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
695 | 909 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
696 | 910 | xlabel = "" |
|
|
697 | 911 | ylabel = "Range (Km)" |
|
|
698 | 912 | |
|
|
699 | 913 | update_figfile = False |
|
|
700 | 914 | |
|
|
701 | 915 | if not self.isConfig: |
|
|
702 | 916 | |
|
|
703 | 917 | nchan = len(channelIndexList) |
|
|
704 | 918 | self.nchan = nchan |
|
|
705 | 919 | self.plotFact = 1 |
|
|
706 | 920 | nplots = nchan |
|
|
707 | 921 | |
|
|
708 | 922 | if showSNR: |
|
|
709 | 923 | nplots = nchan*2 |
|
|
710 | 924 | self.plotFact = 2 |
|
|
711 | 925 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) |
|
|
712 | 926 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) |
|
|
713 | 927 | |
|
|
714 | 928 | self.setup(id=id, |
|
|
715 | 929 | nplots=nplots, |
|
|
716 | 930 | wintitle=wintitle, |
|
|
717 | 931 | show=show) |
|
|
718 | 932 | |
|
|
719 | 933 | if timerange != None: |
|
|
720 | 934 | self.timerange = timerange |
|
|
721 | 935 | |
|
|
722 | 936 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
723 | 937 | |
|
|
724 | 938 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
725 | 939 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
726 | 940 | if zmin == None: zmin = numpy.nanmin(z) |
|
|
727 | 941 | if zmax == None: zmax = numpy.nanmax(z) |
|
|
728 | 942 | |
|
|
729 | 943 | self.FTP_WEI = ftp_wei |
|
|
730 | 944 | self.EXP_CODE = exp_code |
|
|
731 | 945 | self.SUB_EXP_CODE = sub_exp_code |
|
|
732 | 946 | self.PLOT_POS = plot_pos |
|
|
733 | 947 | |
|
|
734 | 948 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
735 | 949 | self.isConfig = True |
|
|
736 | 950 | self.figfile = figfile |
|
|
737 | 951 | update_figfile = True |
|
|
738 | 952 | |
|
|
739 | 953 | self.setWinTitle(title) |
|
|
740 | 954 | |
|
|
741 | 955 | for i in range(self.nchan): |
|
|
742 | 956 | index = channelIndexList[i] |
|
|
743 | 957 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
744 | 958 | axes = self.axesList[i*self.plotFact] |
|
|
745 | 959 | z1 = z[i,:].reshape((1,-1)) |
|
|
746 | 960 | axes.pcolorbuffer(x, y, z1, |
|
|
747 | 961 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
748 | 962 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
749 | 963 | ticksize=9, cblabel='', cbsize="1%",colormap=colormap) |
|
|
750 | 964 | |
|
|
751 | 965 | if showSNR: |
|
|
752 | 966 | title = "Channel %d SNR: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
753 | 967 | axes = self.axesList[i*self.plotFact + 1] |
|
|
754 | 968 | SNRdB1 = SNRdB[i,:].reshape((1,-1)) |
|
|
755 | 969 | axes.pcolorbuffer(x, y, SNRdB1, |
|
|
756 | 970 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
757 | 971 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
758 | 972 | ticksize=9, cblabel='', cbsize="1%",colormap='jet') |
|
|
759 | 973 | |
|
|
760 | 974 | |
|
|
761 | 975 | self.draw() |
|
|
762 | 976 | |
|
|
763 | 977 | if dataOut.ltctime >= self.xmax: |
|
|
764 | 978 | self.counter_imagwr = wr_period |
|
|
765 | 979 | self.isConfig = False |
|
|
766 | 980 | update_figfile = True |
|
|
767 | 981 | |
|
|
768 | 982 | self.save(figpath=figpath, |
|
|
769 | 983 | figfile=figfile, |
|
|
770 | 984 | save=save, |
|
|
771 | 985 | ftp=ftp, |
|
|
772 | 986 | wr_period=wr_period, |
|
|
773 | 987 | thisDatetime=thisDatetime, |
|
|
774 | 988 | update_figfile=update_figfile) |
|
|
775 | 989 | |
|
|
776 | 990 | |
|
|
777 | 991 | |
|
|
778 | 992 | class Parameters1Plot(Figure): |
|
|
779 | 993 | |
|
|
780 | 994 | __isConfig = None |
|
|
781 | 995 | __nsubplots = None |
|
|
782 | 996 | |
|
|
783 | 997 | WIDTHPROF = None |
|
|
784 | 998 | HEIGHTPROF = None |
|
|
785 | 999 | PREFIX = 'prm' |
|
|
786 | 1000 | |
|
|
787 | 1001 | def __init__(self, **kwargs): |
|
|
788 | 1002 | Figure.__init__(self, **kwargs) |
|
|
789 | 1003 | self.timerange = 2*60*60 |
|
|
790 | 1004 | self.isConfig = False |
|
|
791 | 1005 | self.__nsubplots = 1 |
|
|
792 | 1006 | |
|
|
793 | 1007 | self.WIDTH = 800 |
|
|
794 | 1008 | self.HEIGHT = 180 |
|
|
795 | 1009 | self.WIDTHPROF = 120 |
|
|
796 | 1010 | self.HEIGHTPROF = 0 |
|
|
797 | 1011 | self.counter_imagwr = 0 |
|
|
798 | 1012 | |
|
|
799 | 1013 | self.PLOT_CODE = PARMS_CODE |
|
|
800 | 1014 | |
|
|
801 | 1015 | self.FTP_WEI = None |
|
|
802 | 1016 | self.EXP_CODE = None |
|
|
803 | 1017 | self.SUB_EXP_CODE = None |
|
|
804 | 1018 | self.PLOT_POS = None |
|
|
805 | 1019 | self.tmin = None |
|
|
806 | 1020 | self.tmax = None |
|
|
807 | 1021 | |
|
|
808 | 1022 | self.xmin = None |
|
|
809 | 1023 | self.xmax = None |
|
|
810 | 1024 | |
|
|
811 | 1025 | self.figfile = None |
|
|
812 | 1026 | |
|
|
813 | 1027 | def getSubplots(self): |
|
|
814 | 1028 | |
|
|
815 | 1029 | ncol = 1 |
|
|
816 | 1030 | nrow = self.nplots |
|
|
817 | 1031 | |
|
|
818 | 1032 | return nrow, ncol |
|
|
819 | 1033 | |
|
|
820 | 1034 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
821 | 1035 | |
|
|
822 | 1036 | self.__showprofile = showprofile |
|
|
823 | 1037 | self.nplots = nplots |
|
|
824 | 1038 | |
|
|
825 | 1039 | ncolspan = 1 |
|
|
826 | 1040 | colspan = 1 |
|
|
827 | 1041 | |
|
|
828 | 1042 | self.createFigure(id = id, |
|
|
829 | 1043 | wintitle = wintitle, |
|
|
830 | 1044 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
831 | 1045 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
832 | 1046 | show=show) |
|
|
833 | 1047 | |
|
|
834 | 1048 | nrow, ncol = self.getSubplots() |
|
|
835 | 1049 | |
|
|
836 | 1050 | counter = 0 |
|
|
837 | 1051 | for y in range(nrow): |
|
|
838 | 1052 | for x in range(ncol): |
|
|
839 | 1053 | |
|
|
840 | 1054 | if counter >= self.nplots: |
|
|
841 | 1055 | break |
|
|
842 | 1056 | |
|
|
843 | 1057 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
844 | 1058 | |
|
|
845 | 1059 | if showprofile: |
|
|
846 | 1060 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
847 | 1061 | |
|
|
848 | 1062 | counter += 1 |
|
|
849 | 1063 | |
|
|
850 | 1064 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
|
851 | 1065 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None, |
|
|
852 | 1066 | parameterIndex = None, onlyPositive = False, |
|
|
853 | 1067 | SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False, |
|
|
854 | 1068 | DOP = True, |
|
|
855 | 1069 | zlabel = "", parameterName = "", parameterObject = "data_param", |
|
|
856 | 1070 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
857 | 1071 | server=None, folder=None, username=None, password=None, |
|
|
858 | 1072 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
859 | 1073 | #print inspect.getargspec(self.run).args |
|
|
860 | 1074 | """ |
|
|
861 | 1075 | |
|
|
862 | 1076 | Input: |
|
|
863 | 1077 | dataOut : |
|
|
864 | 1078 | id : |
|
|
865 | 1079 | wintitle : |
|
|
866 | 1080 | channelList : |
|
|
867 | 1081 | showProfile : |
|
|
868 | 1082 | xmin : None, |
|
|
869 | 1083 | xmax : None, |
|
|
870 | 1084 | ymin : None, |
|
|
871 | 1085 | ymax : None, |
|
|
872 | 1086 | zmin : None, |
|
|
873 | 1087 | zmax : None |
|
|
874 | 1088 | """ |
|
|
875 | 1089 | |
|
|
876 | 1090 | data_param = getattr(dataOut, parameterObject) |
|
|
877 | 1091 | |
|
|
878 | 1092 | if channelList == None: |
|
|
879 | 1093 | channelIndexList = numpy.arange(data_param.shape[0]) |
|
|
880 | 1094 | else: |
|
|
881 | 1095 | channelIndexList = numpy.array(channelList) |
|
|
882 | 1096 | |
|
|
883 | 1097 | nchan = len(channelIndexList) #Number of channels being plotted |
|
|
884 | 1098 | |
|
|
885 | 1099 | if nchan < 1: |
|
|
886 | 1100 | return |
|
|
887 | 1101 | |
|
|
888 | 1102 | nGraphsByChannel = 0 |
|
|
889 | 1103 | |
|
|
890 | 1104 | if SNR: |
|
|
891 | 1105 | nGraphsByChannel += 1 |
|
|
892 | 1106 | if DOP: |
|
|
893 | 1107 | nGraphsByChannel += 1 |
|
|
894 | 1108 | |
|
|
895 | 1109 | if nGraphsByChannel < 1: |
|
|
896 | 1110 | return |
|
|
897 | 1111 | |
|
|
898 | 1112 | nplots = nGraphsByChannel*nchan |
|
|
899 | 1113 | |
|
|
900 | 1114 | if timerange is not None: |
|
|
901 | 1115 | self.timerange = timerange |
|
|
902 | 1116 | |
|
|
903 | 1117 | #tmin = None |
|
|
904 | 1118 | #tmax = None |
|
|
905 | 1119 | if parameterIndex == None: |
|
|
906 | 1120 | parameterIndex = 1 |
|
|
907 | 1121 | |
|
|
908 | 1122 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
|
909 | 1123 | y = dataOut.heightList |
|
|
910 | 1124 | z = data_param[channelIndexList,parameterIndex,:].copy() |
|
|
911 | 1125 | |
|
|
912 | 1126 | zRange = dataOut.abscissaList |
|
|
913 | 1127 | # nChannels = z.shape[0] #Number of wind dimensions estimated |
|
|
914 | 1128 | # thisDatetime = dataOut.datatime |
|
|
915 | 1129 | |
|
|
916 | 1130 | if dataOut.data_SNR is not None: |
|
|
917 | 1131 | SNRarray = dataOut.data_SNR[channelIndexList,:] |
|
|
918 | 1132 | SNRdB = 10*numpy.log10(SNRarray) |
|
|
919 | 1133 | # SNRavgdB = 10*numpy.log10(SNRavg) |
|
|
920 | 1134 | ind = numpy.where(SNRdB < 10**(SNRthresh/10)) |
|
|
921 | 1135 | z[ind] = numpy.nan |
|
|
922 | 1136 | |
|
|
923 | 1137 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
924 | 1138 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
925 | 1139 | xlabel = "" |
|
|
926 | 1140 | ylabel = "Range (Km)" |
|
|
927 | 1141 | |
|
|
928 | 1142 | if (SNR and not onlySNR): nplots = 2*nplots |
|
|
929 | 1143 | |
|
|
930 | 1144 | if onlyPositive: |
|
|
931 | 1145 | colormap = "jet" |
|
|
932 | 1146 | zmin = 0 |
|
|
933 | 1147 | else: colormap = "RdBu_r" |
|
|
934 | 1148 | |
|
|
935 | 1149 | if not self.isConfig: |
|
|
936 | 1150 | |
|
|
937 | 1151 | self.setup(id=id, |
|
|
938 | 1152 | nplots=nplots, |
|
|
939 | 1153 | wintitle=wintitle, |
|
|
940 | 1154 | showprofile=showprofile, |
|
|
941 | 1155 | show=show) |
|
|
942 | 1156 | |
|
|
943 | 1157 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
944 | 1158 | |
|
|
945 | 1159 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
946 | 1160 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
947 | 1161 | if zmin == None: zmin = numpy.nanmin(zRange) |
|
|
948 | 1162 | if zmax == None: zmax = numpy.nanmax(zRange) |
|
|
949 | 1163 | |
|
|
950 | 1164 | if SNR: |
|
|
951 | 1165 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) |
|
|
952 | 1166 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) |
|
|
953 | 1167 | |
|
|
954 | 1168 | self.FTP_WEI = ftp_wei |
|
|
955 | 1169 | self.EXP_CODE = exp_code |
|
|
956 | 1170 | self.SUB_EXP_CODE = sub_exp_code |
|
|
957 | 1171 | self.PLOT_POS = plot_pos |
|
|
958 | 1172 | |
|
|
959 | 1173 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
960 | 1174 | self.isConfig = True |
|
|
961 | 1175 | self.figfile = figfile |
|
|
962 | 1176 | |
|
|
963 | 1177 | self.setWinTitle(title) |
|
|
964 | 1178 | |
|
|
965 | 1179 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|
966 | 1180 | x[1] = self.xmax |
|
|
967 | 1181 | |
|
|
968 | 1182 | for i in range(nchan): |
|
|
969 | 1183 | |
|
|
970 | 1184 | if (SNR and not onlySNR): j = 2*i |
|
|
971 | 1185 | else: j = i |
|
|
972 | 1186 | |
|
|
973 | 1187 | j = nGraphsByChannel*i |
|
|
974 | 1188 | |
|
|
975 | 1189 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
976 | 1190 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
977 | 1191 | |
|
|
978 | 1192 | if not onlySNR: |
|
|
979 | 1193 | axes = self.axesList[j*self.__nsubplots] |
|
|
980 | 1194 | z1 = z[i,:].reshape((1,-1)) |
|
|
981 | 1195 | axes.pcolorbuffer(x, y, z1, |
|
|
982 | 1196 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
983 | 1197 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, |
|
|
984 | 1198 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
|
985 | 1199 | |
|
|
986 | 1200 | if DOP: |
|
|
987 | 1201 | title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
988 | 1202 | |
|
|
989 | 1203 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
990 | 1204 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
991 | 1205 | axes = self.axesList[j] |
|
|
992 | 1206 | z1 = z[i,:].reshape((1,-1)) |
|
|
993 | 1207 | axes.pcolorbuffer(x, y, z1, |
|
|
994 | 1208 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
995 | 1209 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, |
|
|
996 | 1210 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
|
997 | 1211 | |
|
|
998 | 1212 | if SNR: |
|
|
999 | 1213 | title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1000 | 1214 | axes = self.axesList[(j)*self.__nsubplots] |
|
|
1001 | 1215 | if not onlySNR: |
|
|
1002 | 1216 | axes = self.axesList[(j + 1)*self.__nsubplots] |
|
|
1003 | 1217 | |
|
|
1004 | 1218 | axes = self.axesList[(j + nGraphsByChannel-1)] |
|
|
1005 | 1219 | |
|
|
1006 | 1220 | z1 = SNRdB[i,:].reshape((1,-1)) |
|
|
1007 | 1221 | axes.pcolorbuffer(x, y, z1, |
|
|
1008 | 1222 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
1009 | 1223 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet", |
|
|
1010 | 1224 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
|
1011 | 1225 | |
|
|
1012 | 1226 | |
|
|
1013 | 1227 | |
|
|
1014 | 1228 | self.draw() |
|
|
1015 | 1229 | |
|
|
1016 | 1230 | if x[1] >= self.axesList[0].xmax: |
|
|
1017 | 1231 | self.counter_imagwr = wr_period |
|
|
1018 | 1232 | self.isConfig = False |
|
|
1019 | 1233 | self.figfile = None |
|
|
1020 | 1234 | |
|
|
1021 | 1235 | self.save(figpath=figpath, |
|
|
1022 | 1236 | figfile=figfile, |
|
|
1023 | 1237 | save=save, |
|
|
1024 | 1238 | ftp=ftp, |
|
|
1025 | 1239 | wr_period=wr_period, |
|
|
1026 | 1240 | thisDatetime=thisDatetime, |
|
|
1027 | 1241 | update_figfile=False) |
|
|
1028 | 1242 | |
|
|
1029 | 1243 | class SpectralFittingPlot(Figure): |
|
|
1030 | 1244 | |
|
|
1031 | 1245 | __isConfig = None |
|
|
1032 | 1246 | __nsubplots = None |
|
|
1033 | 1247 | |
|
|
1034 | 1248 | WIDTHPROF = None |
|
|
1035 | 1249 | HEIGHTPROF = None |
|
|
1036 | 1250 | PREFIX = 'prm' |
|
|
1037 | 1251 | |
|
|
1038 | 1252 | |
|
|
1039 | 1253 | N = None |
|
|
1040 | 1254 | ippSeconds = None |
|
|
1041 | 1255 | |
|
|
1042 | 1256 | def __init__(self, **kwargs): |
|
|
1043 | 1257 | Figure.__init__(self, **kwargs) |
|
|
1044 | 1258 | self.isConfig = False |
|
|
1045 | 1259 | self.__nsubplots = 1 |
|
|
1046 | 1260 | |
|
|
1047 | 1261 | self.PLOT_CODE = SPECFIT_CODE |
|
|
1048 | 1262 | |
|
|
1049 | 1263 | self.WIDTH = 450 |
|
|
1050 | 1264 | self.HEIGHT = 250 |
|
|
1051 | 1265 | self.WIDTHPROF = 0 |
|
|
1052 | 1266 | self.HEIGHTPROF = 0 |
|
|
1053 | 1267 | |
|
|
1054 | 1268 | def getSubplots(self): |
|
|
1055 | 1269 | |
|
|
1056 | 1270 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
1057 | 1271 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
1058 | 1272 | |
|
|
1059 | 1273 | return nrow, ncol |
|
|
1060 | 1274 | |
|
|
1061 | 1275 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
|
1062 | 1276 | |
|
|
1063 | 1277 | showprofile = False |
|
|
1064 | 1278 | self.__showprofile = showprofile |
|
|
1065 | 1279 | self.nplots = nplots |
|
|
1066 | 1280 | |
|
|
1067 | 1281 | ncolspan = 5 |
|
|
1068 | 1282 | colspan = 4 |
|
|
1069 | 1283 | if showprofile: |
|
|
1070 | 1284 | ncolspan = 5 |
|
|
1071 | 1285 | colspan = 4 |
|
|
1072 | 1286 | self.__nsubplots = 2 |
|
|
1073 | 1287 | |
|
|
1074 | 1288 | self.createFigure(id = id, |
|
|
1075 | 1289 | wintitle = wintitle, |
|
|
1076 | 1290 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1077 | 1291 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1078 | 1292 | show=show) |
|
|
1079 | 1293 | |
|
|
1080 | 1294 | nrow, ncol = self.getSubplots() |
|
|
1081 | 1295 | |
|
|
1082 | 1296 | counter = 0 |
|
|
1083 | 1297 | for y in range(nrow): |
|
|
1084 | 1298 | for x in range(ncol): |
|
|
1085 | 1299 | |
|
|
1086 | 1300 | if counter >= self.nplots: |
|
|
1087 | 1301 | break |
|
|
1088 | 1302 | |
|
|
1089 | 1303 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1090 | 1304 | |
|
|
1091 | 1305 | if showprofile: |
|
|
1092 | 1306 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
1093 | 1307 | |
|
|
1094 | 1308 | counter += 1 |
|
|
1095 | 1309 | |
|
|
1096 | 1310 | def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True, |
|
|
1097 | 1311 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1098 | 1312 | save=False, figpath='./', figfile=None, show=True): |
|
|
1099 | 1313 | |
|
|
1100 | 1314 | """ |
|
|
1101 | 1315 | |
|
|
1102 | 1316 | Input: |
|
|
1103 | 1317 | dataOut : |
|
|
1104 | 1318 | id : |
|
|
1105 | 1319 | wintitle : |
|
|
1106 | 1320 | channelList : |
|
|
1107 | 1321 | showProfile : |
|
|
1108 | 1322 | xmin : None, |
|
|
1109 | 1323 | xmax : None, |
|
|
1110 | 1324 | zmin : None, |
|
|
1111 | 1325 | zmax : None |
|
|
1112 | 1326 | """ |
|
|
1113 | 1327 | |
|
|
1114 | 1328 | if cutHeight==None: |
|
|
1115 | 1329 | h=270 |
|
|
1116 | 1330 | heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin() |
|
|
1117 | 1331 | cutHeight = dataOut.heightList[heightindex] |
|
|
1118 | 1332 | |
|
|
1119 | 1333 | factor = dataOut.normFactor |
|
|
1120 | 1334 | x = dataOut.abscissaList[:-1] |
|
|
1121 | 1335 | #y = dataOut.getHeiRange() |
|
|
1122 | 1336 | |
|
|
1123 | 1337 | z = dataOut.data_pre[:,:,heightindex]/factor |
|
|
1124 | 1338 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
1125 | 1339 | avg = numpy.average(z, axis=1) |
|
|
1126 | 1340 | listChannels = z.shape[0] |
|
|
1127 | 1341 | |
|
|
1128 | 1342 | #Reconstruct Function |
|
|
1129 | 1343 | if fit==True: |
|
|
1130 | 1344 | groupArray = dataOut.groupList |
|
|
1131 | 1345 | listChannels = groupArray.reshape((groupArray.size)) |
|
|
1132 | 1346 | listChannels.sort() |
|
|
1133 | 1347 | spcFitLine = numpy.zeros(z.shape) |
|
|
1134 | 1348 | constants = dataOut.constants |
|
|
1135 | 1349 | |
|
|
1136 | 1350 | nGroups = groupArray.shape[0] |
|
|
1137 | 1351 | nChannels = groupArray.shape[1] |
|
|
1138 | 1352 | nProfiles = z.shape[1] |
|
|
1139 | 1353 | |
|
|
1140 | 1354 | for f in range(nGroups): |
|
|
1141 | 1355 | groupChann = groupArray[f,:] |
|
|
1142 | 1356 | p = dataOut.data_param[f,:,heightindex] |
|
|
1143 | 1357 | # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167]) |
|
|
1144 | 1358 | fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles |
|
|
1145 | 1359 | fitLineAux = fitLineAux.reshape((nChannels,nProfiles)) |
|
|
1146 | 1360 | spcFitLine[groupChann,:] = fitLineAux |
|
|
1147 | 1361 | # spcFitLine = spcFitLine/factor |
|
|
1148 | 1362 | |
|
|
1149 | 1363 | z = z[listChannels,:] |
|
|
1150 | 1364 | spcFitLine = spcFitLine[listChannels,:] |
|
|
1151 | 1365 | spcFitLinedB = 10*numpy.log10(spcFitLine) |
|
|
1152 | 1366 | |
|
|
1153 | 1367 | zdB = 10*numpy.log10(z) |
|
|
1154 | 1368 | #thisDatetime = dataOut.datatime |
|
|
1155 | 1369 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
1156 | 1370 | title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
1157 | 1371 | xlabel = "Velocity (m/s)" |
|
|
1158 | 1372 | ylabel = "Spectrum" |
|
|
1159 | 1373 | |
|
|
1160 | 1374 | if not self.isConfig: |
|
|
1161 | 1375 | |
|
|
1162 | 1376 | nplots = listChannels.size |
|
|
1163 | 1377 | |
|
|
1164 | 1378 | self.setup(id=id, |
|
|
1165 | 1379 | nplots=nplots, |
|
|
1166 | 1380 | wintitle=wintitle, |
|
|
1167 | 1381 | showprofile=showprofile, |
|
|
1168 | 1382 | show=show) |
|
|
1169 | 1383 | |
|
|
1170 | 1384 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
1171 | 1385 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
1172 | 1386 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
|
1173 | 1387 | if ymax == None: ymax = numpy.nanmax(zdB)+2 |
|
|
1174 | 1388 | |
|
|
1175 | 1389 | self.isConfig = True |
|
|
1176 | 1390 | |
|
|
1177 | 1391 | self.setWinTitle(title) |
|
|
1178 | 1392 | for i in range(self.nplots): |
|
|
1179 | 1393 | # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i]) |
|
|
1180 | 1394 | title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i]) |
|
|
1181 | 1395 | axes = self.axesList[i*self.__nsubplots] |
|
|
1182 | 1396 | if fit == False: |
|
|
1183 | 1397 | axes.pline(x, zdB[i,:], |
|
|
1184 | 1398 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
1185 | 1399 | xlabel=xlabel, ylabel=ylabel, title=title |
|
|
1186 | 1400 | ) |
|
|
1187 | 1401 | if fit == True: |
|
|
1188 | 1402 | fitline=spcFitLinedB[i,:] |
|
|
1189 | 1403 | y=numpy.vstack([zdB[i,:],fitline] ) |
|
|
1190 | 1404 | legendlabels=['Data','Fitting'] |
|
|
1191 | 1405 | axes.pmultilineyaxis(x, y, |
|
|
1192 | 1406 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
1193 | 1407 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
1194 | 1408 | legendlabels=legendlabels, marker=None, |
|
|
1195 | 1409 | linestyle='solid', grid='both') |
|
|
1196 | 1410 | |
|
|
1197 | 1411 | self.draw() |
|
|
1198 | 1412 | |
|
|
1199 | 1413 | self.save(figpath=figpath, |
|
|
1200 | 1414 | figfile=figfile, |
|
|
1201 | 1415 | save=save, |
|
|
1202 | 1416 | ftp=ftp, |
|
|
1203 | 1417 | wr_period=wr_period, |
|
|
1204 | 1418 | thisDatetime=thisDatetime) |
|
|
1205 | 1419 | |
|
|
1206 | 1420 | |
|
|
1207 | 1421 | class EWDriftsPlot(Figure): |
|
|
1208 | 1422 | |
|
|
1209 | 1423 | __isConfig = None |
|
|
1210 | 1424 | __nsubplots = None |
|
|
1211 | 1425 | |
|
|
1212 | 1426 | WIDTHPROF = None |
|
|
1213 | 1427 | HEIGHTPROF = None |
|
|
1214 | 1428 | PREFIX = 'drift' |
|
|
1215 | 1429 | |
|
|
1216 | 1430 | def __init__(self, **kwargs): |
|
|
1217 | 1431 | Figure.__init__(self, **kwargs) |
|
|
1218 | 1432 | self.timerange = 2*60*60 |
|
|
1219 | 1433 | self.isConfig = False |
|
|
1220 | 1434 | self.__nsubplots = 1 |
|
|
1221 | 1435 | |
|
|
1222 | 1436 | self.WIDTH = 800 |
|
|
1223 | 1437 | self.HEIGHT = 150 |
|
|
1224 | 1438 | self.WIDTHPROF = 120 |
|
|
1225 | 1439 | self.HEIGHTPROF = 0 |
|
|
1226 | 1440 | self.counter_imagwr = 0 |
|
|
1227 | 1441 | |
|
|
1228 | 1442 | self.PLOT_CODE = EWDRIFT_CODE |
|
|
1229 | 1443 | |
|
|
1230 | 1444 | self.FTP_WEI = None |
|
|
1231 | 1445 | self.EXP_CODE = None |
|
|
1232 | 1446 | self.SUB_EXP_CODE = None |
|
|
1233 | 1447 | self.PLOT_POS = None |
|
|
1234 | 1448 | self.tmin = None |
|
|
1235 | 1449 | self.tmax = None |
|
|
1236 | 1450 | |
|
|
1237 | 1451 | self.xmin = None |
|
|
1238 | 1452 | self.xmax = None |
|
|
1239 | 1453 | |
|
|
1240 | 1454 | self.figfile = None |
|
|
1241 | 1455 | |
|
|
1242 | 1456 | def getSubplots(self): |
|
|
1243 | 1457 | |
|
|
1244 | 1458 | ncol = 1 |
|
|
1245 | 1459 | nrow = self.nplots |
|
|
1246 | 1460 | |
|
|
1247 | 1461 | return nrow, ncol |
|
|
1248 | 1462 | |
|
|
1249 | 1463 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1250 | 1464 | |
|
|
1251 | 1465 | self.__showprofile = showprofile |
|
|
1252 | 1466 | self.nplots = nplots |
|
|
1253 | 1467 | |
|
|
1254 | 1468 | ncolspan = 1 |
|
|
1255 | 1469 | colspan = 1 |
|
|
1256 | 1470 | |
|
|
1257 | 1471 | self.createFigure(id = id, |
|
|
1258 | 1472 | wintitle = wintitle, |
|
|
1259 | 1473 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1260 | 1474 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1261 | 1475 | show=show) |
|
|
1262 | 1476 | |
|
|
1263 | 1477 | nrow, ncol = self.getSubplots() |
|
|
1264 | 1478 | |
|
|
1265 | 1479 | counter = 0 |
|
|
1266 | 1480 | for y in range(nrow): |
|
|
1267 | 1481 | if counter >= self.nplots: |
|
|
1268 | 1482 | break |
|
|
1269 | 1483 | |
|
|
1270 | 1484 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) |
|
|
1271 | 1485 | counter += 1 |
|
|
1272 | 1486 | |
|
|
1273 | 1487 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
1274 | 1488 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
1275 | 1489 | zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None, |
|
|
1276 | 1490 | timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False, |
|
|
1277 | 1491 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
1278 | 1492 | server=None, folder=None, username=None, password=None, |
|
|
1279 | 1493 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1280 | 1494 | """ |
|
|
1281 | 1495 | |
|
|
1282 | 1496 | Input: |
|
|
1283 | 1497 | dataOut : |
|
|
1284 | 1498 | id : |
|
|
1285 | 1499 | wintitle : |
|
|
1286 | 1500 | channelList : |
|
|
1287 | 1501 | showProfile : |
|
|
1288 | 1502 | xmin : None, |
|
|
1289 | 1503 | xmax : None, |
|
|
1290 | 1504 | ymin : None, |
|
|
1291 | 1505 | ymax : None, |
|
|
1292 | 1506 | zmin : None, |
|
|
1293 | 1507 | zmax : None |
|
|
1294 | 1508 | """ |
|
|
1295 | 1509 | |
|
|
1296 | 1510 | if timerange is not None: |
|
|
1297 | 1511 | self.timerange = timerange |
|
|
1298 | 1512 | |
|
|
1299 | 1513 | tmin = None |
|
|
1300 | 1514 | tmax = None |
|
|
1301 | 1515 | |
|
|
1302 | 1516 | x = dataOut.getTimeRange1(dataOut.outputInterval) |
|
|
1303 | 1517 | # y = dataOut.heightList |
|
|
1304 | 1518 | y = dataOut.heightList |
|
|
1305 | 1519 | |
|
|
1306 | 1520 | z = dataOut.data_output |
|
|
1307 | 1521 | nplots = z.shape[0] #Number of wind dimensions estimated |
|
|
1308 | 1522 | nplotsw = nplots |
|
|
1309 | 1523 | |
|
|
1310 | 1524 | #If there is a SNR function defined |
|
|
1311 | 1525 | if dataOut.data_SNR is not None: |
|
|
1312 | 1526 | nplots += 1 |
|
|
1313 | 1527 | SNR = dataOut.data_SNR |
|
|
1314 | 1528 | |
|
|
1315 | 1529 | if SNR_1: |
|
|
1316 | 1530 | SNR += 1 |
|
|
1317 | 1531 | |
|
|
1318 | 1532 | SNRavg = numpy.average(SNR, axis=0) |
|
|
1319 | 1533 | |
|
|
1320 | 1534 | SNRdB = 10*numpy.log10(SNR) |
|
|
1321 | 1535 | SNRavgdB = 10*numpy.log10(SNRavg) |
|
|
1322 | 1536 | |
|
|
1323 | 1537 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] |
|
|
1324 | 1538 | |
|
|
1325 | 1539 | for i in range(nplotsw): |
|
|
1326 | 1540 | z[i,ind] = numpy.nan |
|
|
1327 | 1541 | |
|
|
1328 | 1542 | |
|
|
1329 | 1543 | showprofile = False |
|
|
1330 | 1544 | # thisDatetime = dataOut.datatime |
|
|
1331 | 1545 | thisDatetime = datetime.datetime.utcfromtimestamp(x[1]) |
|
|
1332 | 1546 | title = wintitle + " EW Drifts" |
|
|
1333 | 1547 | xlabel = "" |
|
|
1334 | 1548 | ylabel = "Height (Km)" |
|
|
1335 | 1549 | |
|
|
1336 | 1550 | if not self.isConfig: |
|
|
1337 | 1551 | |
|
|
1338 | 1552 | self.setup(id=id, |
|
|
1339 | 1553 | nplots=nplots, |
|
|
1340 | 1554 | wintitle=wintitle, |
|
|
1341 | 1555 | showprofile=showprofile, |
|
|
1342 | 1556 | show=show) |
|
|
1343 | 1557 | |
|
|
1344 | 1558 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1345 | 1559 | |
|
|
1346 | 1560 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
1347 | 1561 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
1348 | 1562 | |
|
|
1349 | 1563 | if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:])) |
|
|
1350 | 1564 | if zminZonal == None: zminZonal = -zmaxZonal |
|
|
1351 | 1565 | if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:])) |
|
|
1352 | 1566 | if zminVertical == None: zminVertical = -zmaxVertical |
|
|
1353 | 1567 | |
|
|
1354 | 1568 | if dataOut.data_SNR is not None: |
|
|
1355 | 1569 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) |
|
|
1356 | 1570 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) |
|
|
1357 | 1571 | |
|
|
1358 | 1572 | self.FTP_WEI = ftp_wei |
|
|
1359 | 1573 | self.EXP_CODE = exp_code |
|
|
1360 | 1574 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1361 | 1575 | self.PLOT_POS = plot_pos |
|
|
1362 | 1576 | |
|
|
1363 | 1577 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1364 | 1578 | self.isConfig = True |
|
|
1365 | 1579 | |
|
|
1366 | 1580 | |
|
|
1367 | 1581 | self.setWinTitle(title) |
|
|
1368 | 1582 | |
|
|
1369 | 1583 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|
1370 | 1584 | x[1] = self.xmax |
|
|
1371 | 1585 | |
|
|
1372 | 1586 | strWind = ['Zonal','Vertical'] |
|
|
1373 | 1587 | strCb = 'Velocity (m/s)' |
|
|
1374 | 1588 | zmaxVector = [zmaxZonal, zmaxVertical] |
|
|
1375 | 1589 | zminVector = [zminZonal, zminVertical] |
|
|
1376 | 1590 | |
|
|
1377 | 1591 | for i in range(nplotsw): |
|
|
1378 | 1592 | |
|
|
1379 | 1593 | title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1380 | 1594 | axes = self.axesList[i*self.__nsubplots] |
|
|
1381 | 1595 | |
|
|
1382 | 1596 | z1 = z[i,:].reshape((1,-1)) |
|
|
1383 | 1597 | |
|
|
1384 | 1598 | axes.pcolorbuffer(x, y, z1, |
|
|
1385 | 1599 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], |
|
|
1386 | 1600 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
1387 | 1601 | ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r") |
|
|
1388 | 1602 | |
|
|
1389 | 1603 | if dataOut.data_SNR is not None: |
|
|
1390 | 1604 | i += 1 |
|
|
1391 | 1605 | if SNR_1: |
|
|
1392 | 1606 | title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1393 | 1607 | else: |
|
|
1394 | 1608 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1395 | 1609 | axes = self.axesList[i*self.__nsubplots] |
|
|
1396 | 1610 | SNRavgdB = SNRavgdB.reshape((1,-1)) |
|
|
1397 | 1611 | |
|
|
1398 | 1612 | axes.pcolorbuffer(x, y, SNRavgdB, |
|
|
1399 | 1613 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
1400 | 1614 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
1401 | 1615 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") |
|
|
1402 | 1616 | |
|
|
1403 | 1617 | self.draw() |
|
|
1404 | 1618 | |
|
|
1405 | 1619 | if x[1] >= self.axesList[0].xmax: |
|
|
1406 | 1620 | self.counter_imagwr = wr_period |
|
|
1407 | 1621 | self.isConfig = False |
|
|
1408 | 1622 | self.figfile = None |
|
|
1409 | 1623 | |
|
|
1410 | 1624 | |
|
|
1411 | 1625 | |
|
|
1412 | 1626 | |
|
|
1413 | 1627 | class PhasePlot(Figure): |
|
|
1414 | 1628 | |
|
|
1415 | 1629 | __isConfig = None |
|
|
1416 | 1630 | __nsubplots = None |
|
|
1417 | 1631 | |
|
|
1418 | 1632 | PREFIX = 'mphase' |
|
|
1419 | 1633 | |
|
|
1420 | 1634 | def __init__(self, **kwargs): |
|
|
1421 | 1635 | Figure.__init__(self, **kwargs) |
|
|
1422 | 1636 | self.timerange = 24*60*60 |
|
|
1423 | 1637 | self.isConfig = False |
|
|
1424 | 1638 | self.__nsubplots = 1 |
|
|
1425 | 1639 | self.counter_imagwr = 0 |
|
|
1426 | 1640 | self.WIDTH = 600 |
|
|
1427 | 1641 | self.HEIGHT = 300 |
|
|
1428 | 1642 | self.WIDTHPROF = 120 |
|
|
1429 | 1643 | self.HEIGHTPROF = 0 |
|
|
1430 | 1644 | self.xdata = None |
|
|
1431 | 1645 | self.ydata = None |
|
|
1432 | 1646 | |
|
|
1433 | 1647 | self.PLOT_CODE = MPHASE_CODE |
|
|
1434 | 1648 | |
|
|
1435 | 1649 | self.FTP_WEI = None |
|
|
1436 | 1650 | self.EXP_CODE = None |
|
|
1437 | 1651 | self.SUB_EXP_CODE = None |
|
|
1438 | 1652 | self.PLOT_POS = None |
|
|
1439 | 1653 | |
|
|
1440 | 1654 | |
|
|
1441 | 1655 | self.filename_phase = None |
|
|
1442 | 1656 | |
|
|
1443 | 1657 | self.figfile = None |
|
|
1444 | 1658 | |
|
|
1445 | 1659 | def getSubplots(self): |
|
|
1446 | 1660 | |
|
|
1447 | 1661 | ncol = 1 |
|
|
1448 | 1662 | nrow = 1 |
|
|
1449 | 1663 | |
|
|
1450 | 1664 | return nrow, ncol |
|
|
1451 | 1665 | |
|
|
1452 | 1666 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1453 | 1667 | |
|
|
1454 | 1668 | self.__showprofile = showprofile |
|
|
1455 | 1669 | self.nplots = nplots |
|
|
1456 | 1670 | |
|
|
1457 | 1671 | ncolspan = 7 |
|
|
1458 | 1672 | colspan = 6 |
|
|
1459 | 1673 | self.__nsubplots = 2 |
|
|
1460 | 1674 | |
|
|
1461 | 1675 | self.createFigure(id = id, |
|
|
1462 | 1676 | wintitle = wintitle, |
|
|
1463 | 1677 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
1464 | 1678 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
1465 | 1679 | show=show) |
|
|
1466 | 1680 | |
|
|
1467 | 1681 | nrow, ncol = self.getSubplots() |
|
|
1468 | 1682 | |
|
|
1469 | 1683 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
1470 | 1684 | |
|
|
1471 | 1685 | |
|
|
1472 | 1686 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
1473 | 1687 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1474 | 1688 | timerange=None, |
|
|
1475 | 1689 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1476 | 1690 | server=None, folder=None, username=None, password=None, |
|
|
1477 | 1691 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1478 | 1692 | |
|
|
1479 | 1693 | |
|
|
1480 | 1694 | tmin = None |
|
|
1481 | 1695 | tmax = None |
|
|
1482 | 1696 | x = dataOut.getTimeRange1(dataOut.outputInterval) |
|
|
1483 | 1697 | y = dataOut.getHeiRange() |
|
|
1484 | 1698 | |
|
|
1485 | 1699 | |
|
|
1486 | 1700 | #thisDatetime = dataOut.datatime |
|
|
1487 | 1701 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
1488 | 1702 | title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1489 | 1703 | xlabel = "Local Time" |
|
|
1490 | 1704 | ylabel = "Phase" |
|
|
1491 | 1705 | |
|
|
1492 | 1706 | |
|
|
1493 | 1707 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
|
1494 | 1708 | phase_beacon = dataOut.data_output |
|
|
1495 | 1709 | update_figfile = False |
|
|
1496 | 1710 | |
|
|
1497 | 1711 | if not self.isConfig: |
|
|
1498 | 1712 | |
|
|
1499 | 1713 | self.nplots = phase_beacon.size |
|
|
1500 | 1714 | |
|
|
1501 | 1715 | self.setup(id=id, |
|
|
1502 | 1716 | nplots=self.nplots, |
|
|
1503 | 1717 | wintitle=wintitle, |
|
|
1504 | 1718 | showprofile=showprofile, |
|
|
1505 | 1719 | show=show) |
|
|
1506 | 1720 | |
|
|
1507 | 1721 | if timerange is not None: |
|
|
1508 | 1722 | self.timerange = timerange |
|
|
1509 | 1723 | |
|
|
1510 | 1724 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1511 | 1725 | |
|
|
1512 | 1726 | if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0 |
|
|
1513 | 1727 | if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0 |
|
|
1514 | 1728 | |
|
|
1515 | 1729 | self.FTP_WEI = ftp_wei |
|
|
1516 | 1730 | self.EXP_CODE = exp_code |
|
|
1517 | 1731 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1518 | 1732 | self.PLOT_POS = plot_pos |
|
|
1519 | 1733 | |
|
|
1520 | 1734 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1521 | 1735 | self.isConfig = True |
|
|
1522 | 1736 | self.figfile = figfile |
|
|
1523 | 1737 | self.xdata = numpy.array([]) |
|
|
1524 | 1738 | self.ydata = numpy.array([]) |
|
|
1525 | 1739 | |
|
|
1526 | 1740 | #open file beacon phase |
|
|
1527 | 1741 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
1528 | 1742 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
|
1529 | 1743 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
|
1530 | 1744 | update_figfile = True |
|
|
1531 | 1745 | |
|
|
1532 | 1746 | |
|
|
1533 | 1747 | #store data beacon phase |
|
|
1534 | 1748 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
|
1535 | 1749 | |
|
|
1536 | 1750 | self.setWinTitle(title) |
|
|
1537 | 1751 | |
|
|
1538 | 1752 | |
|
|
1539 | 1753 | title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1540 | 1754 | |
|
|
1541 | 1755 | legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)] |
|
|
1542 | 1756 | |
|
|
1543 | 1757 | axes = self.axesList[0] |
|
|
1544 | 1758 | |
|
|
1545 | 1759 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
1546 | 1760 | |
|
|
1547 | 1761 | if len(self.ydata)==0: |
|
|
1548 | 1762 | self.ydata = phase_beacon.reshape(-1,1) |
|
|
1549 | 1763 | else: |
|
|
1550 | 1764 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
|
1551 | 1765 | |
|
|
1552 | 1766 | |
|
|
1553 | 1767 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
1554 | 1768 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
1555 | 1769 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
1556 | 1770 | XAxisAsTime=True, grid='both' |
|
|
1557 | 1771 | ) |
|
|
1558 | 1772 | |
|
|
1559 | 1773 | self.draw() |
|
|
1560 | 1774 | |
|
|
1561 | 1775 | self.save(figpath=figpath, |
|
|
1562 | 1776 | figfile=figfile, |
|
|
1563 | 1777 | save=save, |
|
|
1564 | 1778 | ftp=ftp, |
|
|
1565 | 1779 | wr_period=wr_period, |
|
|
1566 | 1780 | thisDatetime=thisDatetime, |
|
|
1567 | 1781 | update_figfile=update_figfile) |
|
|
1568 | 1782 | |
|
|
1569 | 1783 | if dataOut.ltctime + dataOut.outputInterval >= self.xmax: |
|
|
1570 | 1784 | self.counter_imagwr = wr_period |
|
|
1571 | 1785 | self.isConfig = False |
|
|
1572 | 1786 | update_figfile = True |
|
|
1573 | 1787 | |
|
|
1574 | 1788 | |
|
|
1575 | 1789 | |
|
|
1576 | 1790 | class NSMeteorDetection1Plot(Figure): |
|
|
1577 | 1791 | |
|
|
1578 | 1792 | isConfig = None |
|
|
1579 | 1793 | __nsubplots = None |
|
|
1580 | 1794 | |
|
|
1581 | 1795 | WIDTHPROF = None |
|
|
1582 | 1796 | HEIGHTPROF = None |
|
|
1583 | 1797 | PREFIX = 'nsm' |
|
|
1584 | 1798 | |
|
|
1585 | 1799 | zminList = None |
|
|
1586 | 1800 | zmaxList = None |
|
|
1587 | 1801 | cmapList = None |
|
|
1588 | 1802 | titleList = None |
|
|
1589 | 1803 | nPairs = None |
|
|
1590 | 1804 | nChannels = None |
|
|
1591 | 1805 | nParam = None |
|
|
1592 | 1806 | |
|
|
1593 | 1807 | def __init__(self, **kwargs): |
|
|
1594 | 1808 | Figure.__init__(self, **kwargs) |
|
|
1595 | 1809 | self.isConfig = False |
|
|
1596 | 1810 | self.__nsubplots = 1 |
|
|
1597 | 1811 | |
|
|
1598 | 1812 | self.WIDTH = 750 |
|
|
1599 | 1813 | self.HEIGHT = 250 |
|
|
1600 | 1814 | self.WIDTHPROF = 120 |
|
|
1601 | 1815 | self.HEIGHTPROF = 0 |
|
|
1602 | 1816 | self.counter_imagwr = 0 |
|
|
1603 | 1817 | |
|
|
1604 | 1818 | self.PLOT_CODE = SPEC_CODE |
|
|
1605 | 1819 | |
|
|
1606 | 1820 | self.FTP_WEI = None |
|
|
1607 | 1821 | self.EXP_CODE = None |
|
|
1608 | 1822 | self.SUB_EXP_CODE = None |
|
|
1609 | 1823 | self.PLOT_POS = None |
|
|
1610 | 1824 | |
|
|
1611 | 1825 | self.__xfilter_ena = False |
|
|
1612 | 1826 | self.__yfilter_ena = False |
|
|
1613 | 1827 | |
|
|
1614 | 1828 | def getSubplots(self): |
|
|
1615 | 1829 | |
|
|
1616 | 1830 | ncol = 3 |
|
|
1617 | 1831 | nrow = int(numpy.ceil(self.nplots/3.0)) |
|
|
1618 | 1832 | |
|
|
1619 | 1833 | return nrow, ncol |
|
|
1620 | 1834 | |
|
|
1621 | 1835 | def setup(self, id, nplots, wintitle, show=True): |
|
|
1622 | 1836 | |
|
|
1623 | 1837 | self.nplots = nplots |
|
|
1624 | 1838 | |
|
|
1625 | 1839 | ncolspan = 1 |
|
|
1626 | 1840 | colspan = 1 |
|
|
1627 | 1841 | |
|
|
1628 | 1842 | self.createFigure(id = id, |
|
|
1629 | 1843 | wintitle = wintitle, |
|
|
1630 | 1844 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1631 | 1845 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1632 | 1846 | show=show) |
|
|
1633 | 1847 | |
|
|
1634 | 1848 | nrow, ncol = self.getSubplots() |
|
|
1635 | 1849 | |
|
|
1636 | 1850 | counter = 0 |
|
|
1637 | 1851 | for y in range(nrow): |
|
|
1638 | 1852 | for x in range(ncol): |
|
|
1639 | 1853 | |
|
|
1640 | 1854 | if counter >= self.nplots: |
|
|
1641 | 1855 | break |
|
|
1642 | 1856 | |
|
|
1643 | 1857 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1644 | 1858 | |
|
|
1645 | 1859 | counter += 1 |
|
|
1646 | 1860 | |
|
|
1647 | 1861 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
1648 | 1862 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, |
|
|
1649 | 1863 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', |
|
|
1650 | 1864 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1651 | 1865 | server=None, folder=None, username=None, password=None, |
|
|
1652 | 1866 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
1653 | 1867 | xaxis="frequency"): |
|
|
1654 | 1868 | |
|
|
1655 | 1869 | """ |
|
|
1656 | 1870 | |
|
|
1657 | 1871 | Input: |
|
|
1658 | 1872 | dataOut : |
|
|
1659 | 1873 | id : |
|
|
1660 | 1874 | wintitle : |
|
|
1661 | 1875 | channelList : |
|
|
1662 | 1876 | showProfile : |
|
|
1663 | 1877 | xmin : None, |
|
|
1664 | 1878 | xmax : None, |
|
|
1665 | 1879 | ymin : None, |
|
|
1666 | 1880 | ymax : None, |
|
|
1667 | 1881 | zmin : None, |
|
|
1668 | 1882 | zmax : None |
|
|
1669 | 1883 | """ |
|
|
1670 | 1884 | #SEPARAR EN DOS PLOTS |
|
|
1671 | 1885 | nParam = dataOut.data_param.shape[1] - 3 |
|
|
1672 | 1886 | |
|
|
1673 | 1887 | utctime = dataOut.data_param[0,0] |
|
|
1674 | 1888 | tmet = dataOut.data_param[:,1].astype(int) |
|
|
1675 | 1889 | hmet = dataOut.data_param[:,2].astype(int) |
|
|
1676 | 1890 | |
|
|
1677 | 1891 | x = dataOut.abscissaList |
|
|
1678 | 1892 | y = dataOut.heightList |
|
|
1679 | 1893 | |
|
|
1680 | 1894 | z = numpy.zeros((nParam, y.size, x.size - 1)) |
|
|
1681 | 1895 | z[:,:] = numpy.nan |
|
|
1682 | 1896 | z[:,hmet,tmet] = dataOut.data_param[:,3:].T |
|
|
1683 | 1897 | z[0,:,:] = 10*numpy.log10(z[0,:,:]) |
|
|
1684 | 1898 | |
|
|
1685 | 1899 | xlabel = "Time (s)" |
|
|
1686 | 1900 | ylabel = "Range (km)" |
|
|
1687 | 1901 | |
|
|
1688 | 1902 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
1689 | 1903 | |
|
|
1690 | 1904 | if not self.isConfig: |
|
|
1691 | 1905 | |
|
|
1692 | 1906 | nplots = nParam |
|
|
1693 | 1907 | |
|
|
1694 | 1908 | self.setup(id=id, |
|
|
1695 | 1909 | nplots=nplots, |
|
|
1696 | 1910 | wintitle=wintitle, |
|
|
1697 | 1911 | show=show) |
|
|
1698 | 1912 | |
|
|
1699 | 1913 | if xmin is None: xmin = numpy.nanmin(x) |
|
|
1700 | 1914 | if xmax is None: xmax = numpy.nanmax(x) |
|
|
1701 | 1915 | if ymin is None: ymin = numpy.nanmin(y) |
|
|
1702 | 1916 | if ymax is None: ymax = numpy.nanmax(y) |
|
|
1703 | 1917 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) |
|
|
1704 | 1918 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) |
|
|
1705 | 1919 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) |
|
|
1706 | 1920 | if vmin is None: vmin = -vmax |
|
|
1707 | 1921 | if wmin is None: wmin = 0 |
|
|
1708 | 1922 | if wmax is None: wmax = 50 |
|
|
1709 | 1923 | |
|
|
1710 | 1924 | pairsList = dataOut.groupList |
|
|
1711 | 1925 | self.nPairs = len(dataOut.groupList) |
|
|
1712 | 1926 | |
|
|
1713 | 1927 | zminList = [SNRmin, vmin, cmin] + [pmin]*self.nPairs |
|
|
1714 | 1928 | zmaxList = [SNRmax, vmax, cmax] + [pmax]*self.nPairs |
|
|
1715 | 1929 | titleList = ["SNR","Radial Velocity","Coherence"] |
|
|
1716 | 1930 | cmapList = ["jet","RdBu_r","jet"] |
|
|
1717 | 1931 | |
|
|
1718 | 1932 | for i in range(self.nPairs): |
|
|
1719 | 1933 | strAux1 = "Phase Difference "+ str(pairsList[i][0]) + str(pairsList[i][1]) |
|
|
1720 | 1934 | titleList = titleList + [strAux1] |
|
|
1721 | 1935 | cmapList = cmapList + ["RdBu_r"] |
|
|
1722 | 1936 | |
|
|
1723 | 1937 | self.zminList = zminList |
|
|
1724 | 1938 | self.zmaxList = zmaxList |
|
|
1725 | 1939 | self.cmapList = cmapList |
|
|
1726 | 1940 | self.titleList = titleList |
|
|
1727 | 1941 | |
|
|
1728 | 1942 | self.FTP_WEI = ftp_wei |
|
|
1729 | 1943 | self.EXP_CODE = exp_code |
|
|
1730 | 1944 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1731 | 1945 | self.PLOT_POS = plot_pos |
|
|
1732 | 1946 | |
|
|
1733 | 1947 | self.isConfig = True |
|
|
1734 | 1948 | |
|
|
1735 | 1949 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
1736 | 1950 | |
|
|
1737 | 1951 | for i in range(nParam): |
|
|
1738 | 1952 | title = self.titleList[i] + ": " +str_datetime |
|
|
1739 | 1953 | axes = self.axesList[i] |
|
|
1740 | 1954 | axes.pcolor(x, y, z[i,:].T, |
|
|
1741 | 1955 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], |
|
|
1742 | 1956 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') |
|
|
1743 | 1957 | self.draw() |
|
|
1744 | 1958 | |
|
|
1745 | 1959 | if figfile == None: |
|
|
1746 | 1960 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1747 | 1961 | name = str_datetime |
|
|
1748 | 1962 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
1749 | 1963 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
1750 | 1964 | figfile = self.getFilename(name) |
|
|
1751 | 1965 | |
|
|
1752 | 1966 | self.save(figpath=figpath, |
|
|
1753 | 1967 | figfile=figfile, |
|
|
1754 | 1968 | save=save, |
|
|
1755 | 1969 | ftp=ftp, |
|
|
1756 | 1970 | wr_period=wr_period, |
|
|
1757 | 1971 | thisDatetime=thisDatetime) |
|
|
1758 | 1972 | |
|
|
1759 | 1973 | |
|
|
1760 | 1974 | class NSMeteorDetection2Plot(Figure): |
|
|
1761 | 1975 | |
|
|
1762 | 1976 | isConfig = None |
|
|
1763 | 1977 | __nsubplots = None |
|
|
1764 | 1978 | |
|
|
1765 | 1979 | WIDTHPROF = None |
|
|
1766 | 1980 | HEIGHTPROF = None |
|
|
1767 | 1981 | PREFIX = 'nsm' |
|
|
1768 | 1982 | |
|
|
1769 | 1983 | zminList = None |
|
|
1770 | 1984 | zmaxList = None |
|
|
1771 | 1985 | cmapList = None |
|
|
1772 | 1986 | titleList = None |
|
|
1773 | 1987 | nPairs = None |
|
|
1774 | 1988 | nChannels = None |
|
|
1775 | 1989 | nParam = None |
|
|
1776 | 1990 | |
|
|
1777 | 1991 | def __init__(self, **kwargs): |
|
|
1778 | 1992 | Figure.__init__(self, **kwargs) |
|
|
1779 | 1993 | self.isConfig = False |
|
|
1780 | 1994 | self.__nsubplots = 1 |
|
|
1781 | 1995 | |
|
|
1782 | 1996 | self.WIDTH = 750 |
|
|
1783 | 1997 | self.HEIGHT = 250 |
|
|
1784 | 1998 | self.WIDTHPROF = 120 |
|
|
1785 | 1999 | self.HEIGHTPROF = 0 |
|
|
1786 | 2000 | self.counter_imagwr = 0 |
|
|
1787 | 2001 | |
|
|
1788 | 2002 | self.PLOT_CODE = SPEC_CODE |
|
|
1789 | 2003 | |
|
|
1790 | 2004 | self.FTP_WEI = None |
|
|
1791 | 2005 | self.EXP_CODE = None |
|
|
1792 | 2006 | self.SUB_EXP_CODE = None |
|
|
1793 | 2007 | self.PLOT_POS = None |
|
|
1794 | 2008 | |
|
|
1795 | 2009 | self.__xfilter_ena = False |
|
|
1796 | 2010 | self.__yfilter_ena = False |
|
|
1797 | 2011 | |
|
|
1798 | 2012 | def getSubplots(self): |
|
|
1799 | 2013 | |
|
|
1800 | 2014 | ncol = 3 |
|
|
1801 | 2015 | nrow = int(numpy.ceil(self.nplots/3.0)) |
|
|
1802 | 2016 | |
|
|
1803 | 2017 | return nrow, ncol |
|
|
1804 | 2018 | |
|
|
1805 | 2019 | def setup(self, id, nplots, wintitle, show=True): |
|
|
1806 | 2020 | |
|
|
1807 | 2021 | self.nplots = nplots |
|
|
1808 | 2022 | |
|
|
1809 | 2023 | ncolspan = 1 |
|
|
1810 | 2024 | colspan = 1 |
|
|
1811 | 2025 | |
|
|
1812 | 2026 | self.createFigure(id = id, |
|
|
1813 | 2027 | wintitle = wintitle, |
|
|
1814 | 2028 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1815 | 2029 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1816 | 2030 | show=show) |
|
|
1817 | 2031 | |
|
|
1818 | 2032 | nrow, ncol = self.getSubplots() |
|
|
1819 | 2033 | |
|
|
1820 | 2034 | counter = 0 |
|
|
1821 | 2035 | for y in range(nrow): |
|
|
1822 | 2036 | for x in range(ncol): |
|
|
1823 | 2037 | |
|
|
1824 | 2038 | if counter >= self.nplots: |
|
|
1825 | 2039 | break |
|
|
1826 | 2040 | |
|
|
1827 | 2041 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1828 | 2042 | |
|
|
1829 | 2043 | counter += 1 |
|
|
1830 | 2044 | |
|
|
1831 | 2045 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
1832 | 2046 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, |
|
|
1833 | 2047 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', |
|
|
1834 | 2048 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1835 | 2049 | server=None, folder=None, username=None, password=None, |
|
|
1836 | 2050 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
1837 | 2051 | xaxis="frequency"): |
|
|
1838 | 2052 | |
|
|
1839 | 2053 | """ |
|
|
1840 | 2054 | |
|
|
1841 | 2055 | Input: |
|
|
1842 | 2056 | dataOut : |
|
|
1843 | 2057 | id : |
|
|
1844 | 2058 | wintitle : |
|
|
1845 | 2059 | channelList : |
|
|
1846 | 2060 | showProfile : |
|
|
1847 | 2061 | xmin : None, |
|
|
1848 | 2062 | xmax : None, |
|
|
1849 | 2063 | ymin : None, |
|
|
1850 | 2064 | ymax : None, |
|
|
1851 | 2065 | zmin : None, |
|
|
1852 | 2066 | zmax : None |
|
|
1853 | 2067 | """ |
|
|
1854 | 2068 | #Rebuild matrix |
|
|
1855 | 2069 | utctime = dataOut.data_param[0,0] |
|
|
1856 | 2070 | cmet = dataOut.data_param[:,1].astype(int) |
|
|
1857 | 2071 | tmet = dataOut.data_param[:,2].astype(int) |
|
|
1858 | 2072 | hmet = dataOut.data_param[:,3].astype(int) |
|
|
1859 | 2073 | |
|
|
1860 | 2074 | nParam = 3 |
|
|
1861 | 2075 | nChan = len(dataOut.groupList) |
|
|
1862 | 2076 | x = dataOut.abscissaList |
|
|
1863 | 2077 | y = dataOut.heightList |
|
|
1864 | 2078 | |
|
|
1865 | 2079 | z = numpy.full((nChan, nParam, y.size, x.size - 1),numpy.nan) |
|
|
1866 | 2080 | z[cmet,:,hmet,tmet] = dataOut.data_param[:,4:] |
|
|
1867 | 2081 | z[:,0,:,:] = 10*numpy.log10(z[:,0,:,:]) #logarithmic scale |
|
|
1868 | 2082 | z = numpy.reshape(z, (nChan*nParam, y.size, x.size-1)) |
|
|
1869 | 2083 | |
|
|
1870 | 2084 | xlabel = "Time (s)" |
|
|
1871 | 2085 | ylabel = "Range (km)" |
|
|
1872 | 2086 | |
|
|
1873 | 2087 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
1874 | 2088 | |
|
|
1875 | 2089 | if not self.isConfig: |
|
|
1876 | 2090 | |
|
|
1877 | 2091 | nplots = nParam*nChan |
|
|
1878 | 2092 | |
|
|
1879 | 2093 | self.setup(id=id, |
|
|
1880 | 2094 | nplots=nplots, |
|
|
1881 | 2095 | wintitle=wintitle, |
|
|
1882 | 2096 | show=show) |
|
|
1883 | 2097 | |
|
|
1884 | 2098 | if xmin is None: xmin = numpy.nanmin(x) |
|
|
1885 | 2099 | if xmax is None: xmax = numpy.nanmax(x) |
|
|
1886 | 2100 | if ymin is None: ymin = numpy.nanmin(y) |
|
|
1887 | 2101 | if ymax is None: ymax = numpy.nanmax(y) |
|
|
1888 | 2102 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) |
|
|
1889 | 2103 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) |
|
|
1890 | 2104 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) |
|
|
1891 | 2105 | if vmin is None: vmin = -vmax |
|
|
1892 | 2106 | if wmin is None: wmin = 0 |
|
|
1893 | 2107 | if wmax is None: wmax = 50 |
|
|
1894 | 2108 | |
|
|
1895 | 2109 | self.nChannels = nChan |
|
|
1896 | 2110 | |
|
|
1897 | 2111 | zminList = [] |
|
|
1898 | 2112 | zmaxList = [] |
|
|
1899 | 2113 | titleList = [] |
|
|
1900 | 2114 | cmapList = [] |
|
|
1901 | 2115 | for i in range(self.nChannels): |
|
|
1902 | 2116 | strAux1 = "SNR Channel "+ str(i) |
|
|
1903 | 2117 | strAux2 = "Radial Velocity Channel "+ str(i) |
|
|
1904 | 2118 | strAux3 = "Spectral Width Channel "+ str(i) |
|
|
1905 | 2119 | |
|
|
1906 | 2120 | titleList = titleList + [strAux1,strAux2,strAux3] |
|
|
1907 | 2121 | cmapList = cmapList + ["jet","RdBu_r","jet"] |
|
|
1908 | 2122 | zminList = zminList + [SNRmin,vmin,wmin] |
|
|
1909 | 2123 | zmaxList = zmaxList + [SNRmax,vmax,wmax] |
|
|
1910 | 2124 | |
|
|
1911 | 2125 | self.zminList = zminList |
|
|
1912 | 2126 | self.zmaxList = zmaxList |
|
|
1913 | 2127 | self.cmapList = cmapList |
|
|
1914 | 2128 | self.titleList = titleList |
|
|
1915 | 2129 | |
|
|
1916 | 2130 | self.FTP_WEI = ftp_wei |
|
|
1917 | 2131 | self.EXP_CODE = exp_code |
|
|
1918 | 2132 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1919 | 2133 | self.PLOT_POS = plot_pos |
|
|
1920 | 2134 | |
|
|
1921 | 2135 | self.isConfig = True |
|
|
1922 | 2136 | |
|
|
1923 | 2137 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
1924 | 2138 | |
|
|
1925 | 2139 | for i in range(self.nplots): |
|
|
1926 | 2140 | title = self.titleList[i] + ": " +str_datetime |
|
|
1927 | 2141 | axes = self.axesList[i] |
|
|
1928 | 2142 | axes.pcolor(x, y, z[i,:].T, |
|
|
1929 | 2143 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], |
|
|
1930 | 2144 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') |
|
|
1931 | 2145 | self.draw() |
|
|
1932 | 2146 | |
|
|
1933 | 2147 | if figfile == None: |
|
|
1934 | 2148 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1935 | 2149 | name = str_datetime |
|
|
1936 | 2150 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
1937 | 2151 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
1938 | 2152 | figfile = self.getFilename(name) |
|
|
1939 | 2153 | |
|
|
1940 | 2154 | self.save(figpath=figpath, |
|
|
1941 | 2155 | figfile=figfile, |
|
|
1942 | 2156 | save=save, |
|
|
1943 | 2157 | ftp=ftp, |
|
|
1944 | 2158 | wr_period=wr_period, |
|
|
1945 | 2159 | thisDatetime=thisDatetime) |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
| @@ -1,1541 +1,1541 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 9, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import datetime |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | |
|
|
10 | 10 | from figure import Figure, isRealtime, isTimeInHourRange |
|
|
11 | 11 | from plotting_codes import * |
|
|
12 | 12 | |
|
|
13 | 13 | class SpectraPlot(Figure): |
|
|
14 | 14 | |
|
|
15 | 15 | isConfig = None |
|
|
16 | 16 | __nsubplots = None |
|
|
17 | 17 | |
|
|
18 | 18 | WIDTHPROF = None |
|
|
19 | 19 | HEIGHTPROF = None |
|
|
20 | 20 | PREFIX = 'spc' |
|
|
21 | 21 | |
|
|
22 | 22 | def __init__(self, **kwargs): |
|
|
23 | 23 | Figure.__init__(self, **kwargs) |
|
|
24 | 24 | self.isConfig = False |
|
|
25 | 25 | self.__nsubplots = 1 |
|
|
26 | 26 | |
|
|
27 | 27 | self.WIDTH = 250 |
|
|
28 | 28 | self.HEIGHT = 250 |
|
|
29 | 29 | self.WIDTHPROF = 120 |
|
|
30 | 30 | self.HEIGHTPROF = 0 |
|
|
31 | 31 | self.counter_imagwr = 0 |
|
|
32 | 32 | |
|
|
33 | 33 | self.PLOT_CODE = SPEC_CODE |
|
|
34 | 34 | |
|
|
35 | 35 | self.FTP_WEI = None |
|
|
36 | 36 | self.EXP_CODE = None |
|
|
37 | 37 | self.SUB_EXP_CODE = None |
|
|
38 | 38 | self.PLOT_POS = None |
|
|
39 | 39 | |
|
|
40 | 40 | self.__xfilter_ena = False |
|
|
41 | 41 | self.__yfilter_ena = False |
|
|
42 | 42 | |
|
|
43 | 43 | def getSubplots(self): |
|
|
44 | 44 | |
|
|
45 | 45 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
46 | 46 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
47 | 47 | |
|
|
48 | 48 | return nrow, ncol |
|
|
49 | 49 | |
|
|
50 | 50 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
51 | 51 | |
|
|
52 | 52 | self.__showprofile = showprofile |
|
|
53 | 53 | self.nplots = nplots |
|
|
54 | 54 | |
|
|
55 | 55 | ncolspan = 1 |
|
|
56 | 56 | colspan = 1 |
|
|
57 | 57 | if showprofile: |
|
|
58 | 58 | ncolspan = 3 |
|
|
59 | 59 | colspan = 2 |
|
|
60 | 60 | self.__nsubplots = 2 |
|
|
61 | 61 | |
|
|
62 | 62 | self.createFigure(id = id, |
|
|
63 | 63 | wintitle = wintitle, |
|
|
64 | 64 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
65 | 65 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
66 | 66 | show=show) |
|
|
67 | 67 | |
|
|
68 | 68 | nrow, ncol = self.getSubplots() |
|
|
69 | 69 | |
|
|
70 | 70 | counter = 0 |
|
|
71 | 71 | for y in range(nrow): |
|
|
72 | 72 | for x in range(ncol): |
|
|
73 | 73 | |
|
|
74 | 74 | if counter >= self.nplots: |
|
|
75 | 75 | break |
|
|
76 | 76 | |
|
|
77 | 77 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
78 | 78 | |
|
|
79 | 79 | if showprofile: |
|
|
80 | 80 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
81 | 81 | |
|
|
82 | 82 | counter += 1 |
|
|
83 | 83 | |
|
|
84 | 84 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
85 | 85 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
86 | 86 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
87 | 87 | server=None, folder=None, username=None, password=None, |
|
|
88 | 88 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
89 | 89 | xaxis="frequency", colormap='jet', normFactor=None): |
|
|
90 | 90 | |
|
|
91 | 91 | """ |
|
|
92 | 92 | |
|
|
93 | 93 | Input: |
|
|
94 | 94 | dataOut : |
|
|
95 | 95 | id : |
|
|
96 | 96 | wintitle : |
|
|
97 | 97 | channelList : |
|
|
98 | 98 | showProfile : |
|
|
99 | 99 | xmin : None, |
|
|
100 | 100 | xmax : None, |
|
|
101 | 101 | ymin : None, |
|
|
102 | 102 | ymax : None, |
|
|
103 | 103 | zmin : None, |
|
|
104 | 104 | zmax : None |
|
|
105 | 105 | """ |
|
|
106 | ||
|
|
107 | colormap = kwargs.get('colormap','jet') | |
|
|
108 | ||
|
|
109 | 106 | if realtime: |
|
|
110 | 107 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|
111 | 108 | print 'Skipping this plot function' |
|
|
112 | 109 | return |
|
|
113 | 110 | |
|
|
114 | 111 | if channelList == None: |
|
|
115 | 112 | channelIndexList = dataOut.channelIndexList |
|
|
116 | 113 | else: |
|
|
117 | 114 | channelIndexList = [] |
|
|
118 | 115 | for channel in channelList: |
|
|
119 | 116 | if channel not in dataOut.channelList: |
|
|
120 | 117 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel |
|
|
121 | 118 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
122 | 119 | |
|
|
123 | 120 | if normFactor is None: |
|
|
124 | 121 | factor = dataOut.normFactor |
|
|
125 | 122 | else: |
|
|
126 | 123 | factor = normFactor |
|
|
127 | 124 | if xaxis == "frequency": |
|
|
128 | 125 | x = dataOut.getFreqRange(1)/1000. |
|
|
129 | 126 | xlabel = "Frequency (kHz)" |
|
|
130 | 127 | |
|
|
131 | 128 | elif xaxis == "time": |
|
|
132 | 129 | x = dataOut.getAcfRange(1) |
|
|
133 | 130 | xlabel = "Time (ms)" |
|
|
134 | 131 | |
|
|
135 | 132 | else: |
|
|
136 | 133 | x = dataOut.getVelRange(1) |
|
|
137 | 134 | xlabel = "Velocity (m/s)" |
|
|
138 | 135 | |
|
|
139 | 136 | ylabel = "Range (Km)" |
|
|
140 | 137 | |
|
|
141 | 138 | y = dataOut.getHeiRange() |
|
|
142 | 139 | |
|
|
143 | 140 | z = dataOut.data_spc/factor |
|
|
144 | 141 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
145 | 142 | zdB = 10*numpy.log10(z) |
|
|
146 | 143 | |
|
|
147 | 144 | avg = numpy.average(z, axis=1) |
|
|
148 | 145 | avgdB = 10*numpy.log10(avg) |
|
|
149 | 146 | |
|
|
150 | 147 | noise = dataOut.getNoise()/factor |
|
|
151 | 148 | noisedB = 10*numpy.log10(noise) |
|
|
152 | 149 | |
|
|
153 | 150 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
154 | 151 | title = wintitle + " Spectra" |
|
|
155 | 152 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
156 | 153 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
157 | 154 | |
|
|
158 | 155 | if not self.isConfig: |
|
|
159 | 156 | |
|
|
160 | 157 | nplots = len(channelIndexList) |
|
|
161 | 158 | |
|
|
162 | 159 | self.setup(id=id, |
|
|
163 | 160 | nplots=nplots, |
|
|
164 | 161 | wintitle=wintitle, |
|
|
165 | 162 | showprofile=showprofile, |
|
|
166 | 163 | show=show) |
|
|
167 | 164 | |
|
|
168 | 165 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
169 | 166 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
170 | 167 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
171 | 168 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
172 | 169 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
173 | 170 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
174 | 171 | |
|
|
175 | 172 | self.FTP_WEI = ftp_wei |
|
|
176 | 173 | self.EXP_CODE = exp_code |
|
|
177 | 174 | self.SUB_EXP_CODE = sub_exp_code |
|
|
178 | 175 | self.PLOT_POS = plot_pos |
|
|
179 | 176 | |
|
|
180 | 177 | self.isConfig = True |
|
|
181 | 178 | |
|
|
182 | 179 | self.setWinTitle(title) |
|
|
183 | 180 | |
|
|
184 | 181 | for i in range(self.nplots): |
|
|
185 | 182 | index = channelIndexList[i] |
|
|
186 | 183 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
187 | 184 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
|
188 | 185 | if len(dataOut.beam.codeList) != 0: |
|
|
189 | 186 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) |
|
|
190 | 187 | |
|
|
191 | 188 | axes = self.axesList[i*self.__nsubplots] |
|
|
192 | 189 | axes.pcolor(x, y, zdB[index,:,:], |
|
|
193 | 190 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
194 | 191 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, |
|
|
195 | 192 | ticksize=9, cblabel='') |
|
|
196 | 193 | |
|
|
197 | 194 | if self.__showprofile: |
|
|
198 | 195 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
199 | 196 | axes.pline(avgdB[index,:], y, |
|
|
200 | 197 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
201 | 198 | xlabel='dB', ylabel='', title='', |
|
|
202 | 199 | ytick_visible=False, |
|
|
203 | 200 | grid='x') |
|
|
204 | 201 | |
|
|
205 | 202 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
|
206 | 203 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
|
207 | 204 | |
|
|
208 | 205 | self.draw() |
|
|
209 | 206 | |
|
|
210 | 207 | if figfile == None: |
|
|
211 | 208 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
212 | 209 | name = str_datetime |
|
|
213 | 210 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
214 | 211 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
215 | 212 | figfile = self.getFilename(name) |
|
|
216 | 213 | |
|
|
217 | 214 | self.save(figpath=figpath, |
|
|
218 | 215 | figfile=figfile, |
|
|
219 | 216 | save=save, |
|
|
220 | 217 | ftp=ftp, |
|
|
221 | 218 | wr_period=wr_period, |
|
|
222 | 219 | thisDatetime=thisDatetime) |
|
|
223 | 220 | |
|
|
224 | 221 | class CrossSpectraPlot(Figure): |
|
|
225 | 222 | |
|
|
226 | 223 | isConfig = None |
|
|
227 | 224 | __nsubplots = None |
|
|
228 | 225 | |
|
|
229 | 226 | WIDTH = None |
|
|
230 | 227 | HEIGHT = None |
|
|
231 | 228 | WIDTHPROF = None |
|
|
232 | 229 | HEIGHTPROF = None |
|
|
233 | 230 | PREFIX = 'cspc' |
|
|
234 | 231 | |
|
|
235 | 232 | def __init__(self, **kwargs): |
|
|
236 | 233 | Figure.__init__(self, **kwargs) |
|
|
237 | 234 | self.isConfig = False |
|
|
238 | 235 | self.__nsubplots = 4 |
|
|
239 | 236 | self.counter_imagwr = 0 |
|
|
240 | 237 | self.WIDTH = 250 |
|
|
241 | 238 | self.HEIGHT = 250 |
|
|
242 | 239 | self.WIDTHPROF = 0 |
|
|
243 | 240 | self.HEIGHTPROF = 0 |
|
|
244 | 241 | |
|
|
245 | 242 | self.PLOT_CODE = CROSS_CODE |
|
|
246 | 243 | self.FTP_WEI = None |
|
|
247 | 244 | self.EXP_CODE = None |
|
|
248 | 245 | self.SUB_EXP_CODE = None |
|
|
249 | 246 | self.PLOT_POS = None |
|
|
250 | 247 | |
|
|
251 | 248 | def getSubplots(self): |
|
|
252 | 249 | |
|
|
253 | 250 | ncol = 4 |
|
|
254 | 251 | nrow = self.nplots |
|
|
255 | 252 | |
|
|
256 | 253 | return nrow, ncol |
|
|
257 | 254 | |
|
|
258 | 255 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
259 | 256 | |
|
|
260 | 257 | self.__showprofile = showprofile |
|
|
261 | 258 | self.nplots = nplots |
|
|
262 | 259 | |
|
|
263 | 260 | ncolspan = 1 |
|
|
264 | 261 | colspan = 1 |
|
|
265 | 262 | |
|
|
266 | 263 | self.createFigure(id = id, |
|
|
267 | 264 | wintitle = wintitle, |
|
|
268 | 265 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
269 | 266 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
270 | 267 | show=True) |
|
|
271 | 268 | |
|
|
272 | 269 | nrow, ncol = self.getSubplots() |
|
|
273 | 270 | |
|
|
274 | 271 | counter = 0 |
|
|
275 | 272 | for y in range(nrow): |
|
|
276 | 273 | for x in range(ncol): |
|
|
277 | 274 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
278 | 275 | |
|
|
279 | 276 | counter += 1 |
|
|
280 | 277 | |
|
|
281 | 278 | def run(self, dataOut, id, wintitle="", pairsList=None, |
|
|
282 | 279 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
283 | 280 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, |
|
|
284 | 281 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
|
285 | 282 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
|
286 | 283 | server=None, folder=None, username=None, password=None, |
|
|
287 | 284 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, |
|
|
288 | 285 | xaxis='frequency'): |
|
|
289 | 286 | |
|
|
290 | 287 | """ |
|
|
291 | 288 | |
|
|
292 | 289 | Input: |
|
|
293 | 290 | dataOut : |
|
|
294 | 291 | id : |
|
|
295 | 292 | wintitle : |
|
|
296 | 293 | channelList : |
|
|
297 | 294 | showProfile : |
|
|
298 | 295 | xmin : None, |
|
|
299 | 296 | xmax : None, |
|
|
300 | 297 | ymin : None, |
|
|
301 | 298 | ymax : None, |
|
|
302 | 299 | zmin : None, |
|
|
303 | 300 | zmax : None |
|
|
304 | 301 | """ |
|
|
305 | 302 | |
|
|
306 | 303 | if pairsList == None: |
|
|
307 | 304 | pairsIndexList = dataOut.pairsIndexList |
|
|
308 | 305 | else: |
|
|
309 | 306 | pairsIndexList = [] |
|
|
310 | 307 | for pair in pairsList: |
|
|
311 | 308 | if pair not in dataOut.pairsList: |
|
|
312 | 309 | raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair) |
|
|
313 | 310 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
314 | 311 | |
|
|
315 | 312 | if not pairsIndexList: |
|
|
316 | 313 | return |
|
|
317 | 314 | |
|
|
318 | 315 | if len(pairsIndexList) > 4: |
|
|
319 | 316 | pairsIndexList = pairsIndexList[0:4] |
|
|
320 | 317 | |
|
|
321 | 318 | if normFactor is None: |
|
|
322 | 319 | factor = dataOut.normFactor |
|
|
323 | 320 | else: |
|
|
324 | 321 | factor = normFactor |
|
|
325 | 322 | x = dataOut.getVelRange(1) |
|
|
326 | 323 | y = dataOut.getHeiRange() |
|
|
327 | 324 | z = dataOut.data_spc[:,:,:]/factor |
|
|
328 | 325 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
329 | 326 | |
|
|
330 | 327 | noise = dataOut.noise/factor |
|
|
331 | 328 | |
|
|
332 | 329 | zdB = 10*numpy.log10(z) |
|
|
333 | 330 | noisedB = 10*numpy.log10(noise) |
|
|
334 | 331 | |
|
|
335 | 332 | if coh_min == None: |
|
|
336 | 333 | coh_min = 0.0 |
|
|
337 | 334 | if coh_max == None: |
|
|
338 | 335 | coh_max = 1.0 |
|
|
339 | 336 | |
|
|
340 | 337 | if phase_min == None: |
|
|
341 | 338 | phase_min = -180 |
|
|
342 | 339 | if phase_max == None: |
|
|
343 | 340 | phase_max = 180 |
|
|
344 | 341 | |
|
|
345 | 342 | #thisDatetime = dataOut.datatime |
|
|
346 | 343 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
347 | 344 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
348 | 345 | # xlabel = "Velocity (m/s)" |
|
|
349 | 346 | ylabel = "Range (Km)" |
|
|
350 | 347 | |
|
|
351 | 348 | if xaxis == "frequency": |
|
|
352 | 349 | x = dataOut.getFreqRange(1)/1000. |
|
|
353 | 350 | xlabel = "Frequency (kHz)" |
|
|
354 | 351 | |
|
|
355 | 352 | elif xaxis == "time": |
|
|
356 | 353 | x = dataOut.getAcfRange(1) |
|
|
357 | 354 | xlabel = "Time (ms)" |
|
|
358 | 355 | |
|
|
359 | 356 | else: |
|
|
360 | 357 | x = dataOut.getVelRange(1) |
|
|
361 | 358 | xlabel = "Velocity (m/s)" |
|
|
362 | 359 | |
|
|
363 | 360 | if not self.isConfig: |
|
|
364 | 361 | |
|
|
365 | 362 | nplots = len(pairsIndexList) |
|
|
366 | 363 | |
|
|
367 | 364 | self.setup(id=id, |
|
|
368 | 365 | nplots=nplots, |
|
|
369 | 366 | wintitle=wintitle, |
|
|
370 | 367 | showprofile=False, |
|
|
371 | 368 | show=show) |
|
|
372 | 369 | |
|
|
373 | 370 | avg = numpy.abs(numpy.average(z, axis=1)) |
|
|
374 | 371 | avgdB = 10*numpy.log10(avg) |
|
|
375 | 372 | |
|
|
376 | 373 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
377 | 374 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
378 | 375 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
379 | 376 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
380 | 377 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
381 | 378 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
382 | 379 | |
|
|
383 | 380 | self.FTP_WEI = ftp_wei |
|
|
384 | 381 | self.EXP_CODE = exp_code |
|
|
385 | 382 | self.SUB_EXP_CODE = sub_exp_code |
|
|
386 | 383 | self.PLOT_POS = plot_pos |
|
|
387 | 384 | |
|
|
388 | 385 | self.isConfig = True |
|
|
389 | 386 | |
|
|
390 | 387 | self.setWinTitle(title) |
|
|
391 | 388 | |
|
|
392 | 389 | for i in range(self.nplots): |
|
|
393 | 390 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
394 | 391 | |
|
|
395 | 392 | chan_index0 = dataOut.channelList.index(pair[0]) |
|
|
396 | 393 | chan_index1 = dataOut.channelList.index(pair[1]) |
|
|
397 | 394 | |
|
|
398 | 395 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
399 | 396 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) |
|
|
400 | 397 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) |
|
|
401 | 398 | axes0 = self.axesList[i*self.__nsubplots] |
|
|
402 | 399 | axes0.pcolor(x, y, zdB, |
|
|
403 | 400 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
404 | 401 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
405 | 402 | ticksize=9, colormap=power_cmap, cblabel='') |
|
|
406 | 403 | |
|
|
407 | 404 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) |
|
|
408 | 405 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) |
|
|
409 | 406 | axes0 = self.axesList[i*self.__nsubplots+1] |
|
|
410 | 407 | axes0.pcolor(x, y, zdB, |
|
|
411 | 408 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
412 | 409 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
413 | 410 | ticksize=9, colormap=power_cmap, cblabel='') |
|
|
414 | 411 | |
|
|
415 | 412 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:]) |
|
|
416 | 413 | coherence = numpy.abs(coherenceComplex) |
|
|
417 | 414 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
|
418 | 415 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi |
|
|
419 | 416 | |
|
|
420 | 417 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) |
|
|
421 | 418 | axes0 = self.axesList[i*self.__nsubplots+2] |
|
|
422 | 419 | axes0.pcolor(x, y, coherence, |
|
|
423 | 420 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, |
|
|
424 | 421 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
425 | 422 | ticksize=9, colormap=coherence_cmap, cblabel='') |
|
|
426 | 423 | |
|
|
427 | 424 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) |
|
|
428 | 425 | axes0 = self.axesList[i*self.__nsubplots+3] |
|
|
429 | 426 | axes0.pcolor(x, y, phase, |
|
|
430 | 427 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
|
431 | 428 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
432 | 429 | ticksize=9, colormap=phase_cmap, cblabel='') |
|
|
433 | 430 | |
|
|
434 | 431 | |
|
|
435 | 432 | |
|
|
436 | 433 | self.draw() |
|
|
437 | 434 | |
|
|
438 | 435 | self.save(figpath=figpath, |
|
|
439 | 436 | figfile=figfile, |
|
|
440 | 437 | save=save, |
|
|
441 | 438 | ftp=ftp, |
|
|
442 | 439 | wr_period=wr_period, |
|
|
443 | 440 | thisDatetime=thisDatetime) |
|
|
444 | 441 | |
|
|
445 | 442 | |
|
|
446 | 443 | class RTIPlot(Figure): |
|
|
447 | 444 | |
|
|
448 | 445 | __isConfig = None |
|
|
449 | 446 | __nsubplots = None |
|
|
450 | 447 | |
|
|
451 | 448 | WIDTHPROF = None |
|
|
452 | 449 | HEIGHTPROF = None |
|
|
453 | 450 | PREFIX = 'rti' |
|
|
454 | 451 | |
|
|
455 | 452 | def __init__(self, **kwargs): |
|
|
456 | 453 | |
|
|
457 | 454 | Figure.__init__(self, **kwargs) |
|
|
458 | 455 | self.timerange = None |
|
|
459 | 456 | self.isConfig = False |
|
|
460 | 457 | self.__nsubplots = 1 |
|
|
461 | 458 | |
|
|
462 | 459 | self.WIDTH = 800 |
|
|
463 | 460 | self.HEIGHT = 180 |
|
|
464 | 461 | self.WIDTHPROF = 120 |
|
|
465 | 462 | self.HEIGHTPROF = 0 |
|
|
466 | 463 | self.counter_imagwr = 0 |
|
|
467 | 464 | |
|
|
468 | 465 | self.PLOT_CODE = RTI_CODE |
|
|
469 | 466 | |
|
|
470 | 467 | self.FTP_WEI = None |
|
|
471 | 468 | self.EXP_CODE = None |
|
|
472 | 469 | self.SUB_EXP_CODE = None |
|
|
473 | 470 | self.PLOT_POS = None |
|
|
474 | 471 | self.tmin = None |
|
|
475 | 472 | self.tmax = None |
|
|
476 | 473 | |
|
|
477 | 474 | self.xmin = None |
|
|
478 | 475 | self.xmax = None |
|
|
479 | 476 | |
|
|
480 | 477 | self.figfile = None |
|
|
481 | 478 | |
|
|
482 | 479 | def getSubplots(self): |
|
|
483 | 480 | |
|
|
484 | 481 | ncol = 1 |
|
|
485 | 482 | nrow = self.nplots |
|
|
486 | 483 | |
|
|
487 | 484 | return nrow, ncol |
|
|
488 | 485 | |
|
|
489 | 486 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
490 | 487 | |
|
|
491 | 488 | self.__showprofile = showprofile |
|
|
492 | 489 | self.nplots = nplots |
|
|
493 | 490 | |
|
|
494 | 491 | ncolspan = 1 |
|
|
495 | 492 | colspan = 1 |
|
|
496 | 493 | if showprofile: |
|
|
497 | 494 | ncolspan = 7 |
|
|
498 | 495 | colspan = 6 |
|
|
499 | 496 | self.__nsubplots = 2 |
|
|
500 | 497 | |
|
|
501 | 498 | self.createFigure(id = id, |
|
|
502 | 499 | wintitle = wintitle, |
|
|
503 | 500 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
504 | 501 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
505 | 502 | show=show) |
|
|
506 | 503 | |
|
|
507 | 504 | nrow, ncol = self.getSubplots() |
|
|
508 | 505 | |
|
|
509 | 506 | counter = 0 |
|
|
510 | 507 | for y in range(nrow): |
|
|
511 | 508 | for x in range(ncol): |
|
|
512 | 509 | |
|
|
513 | 510 | if counter >= self.nplots: |
|
|
514 | 511 | break |
|
|
515 | 512 | |
|
|
516 | 513 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
517 | 514 | |
|
|
518 | 515 | if showprofile: |
|
|
519 | 516 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
520 | 517 | |
|
|
521 | 518 | counter += 1 |
|
|
522 | 519 | |
|
|
523 | 520 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
|
524 | 521 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
525 | 522 | timerange=None, colormap='jet', |
|
|
526 | 523 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
527 | 524 | server=None, folder=None, username=None, password=None, |
|
|
528 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None): | |
|
|
525 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, HEIGHT=None): | |
|
|
529 | 526 | |
|
|
530 | 527 | """ |
|
|
531 | 528 | |
|
|
532 | 529 | Input: |
|
|
533 | 530 | dataOut : |
|
|
534 | 531 | id : |
|
|
535 | 532 | wintitle : |
|
|
536 | 533 | channelList : |
|
|
537 | 534 | showProfile : |
|
|
538 | 535 | xmin : None, |
|
|
539 | 536 | xmax : None, |
|
|
540 | 537 | ymin : None, |
|
|
541 | 538 | ymax : None, |
|
|
542 | 539 | zmin : None, |
|
|
543 | 540 | zmax : None |
|
|
544 | 541 | """ |
|
|
545 | 542 | |
|
|
546 | colormap = kwargs.get('colormap', 'jet') | |
|
|
543 | #colormap = kwargs.get('colormap', 'jet') | |
|
|
544 | if HEIGHT is not None: | |
|
|
545 | self.HEIGHT = HEIGHT | |
|
|
546 | ||
|
|
547 | 547 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
548 | 548 | return |
|
|
549 | 549 | |
|
|
550 | 550 | if channelList == None: |
|
|
551 | 551 | channelIndexList = dataOut.channelIndexList |
|
|
552 | 552 | else: |
|
|
553 | 553 | channelIndexList = [] |
|
|
554 | 554 | for channel in channelList: |
|
|
555 | 555 | if channel not in dataOut.channelList: |
|
|
556 | 556 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
557 | 557 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
558 | 558 | |
|
|
559 | 559 | if normFactor is None: |
|
|
560 | 560 | factor = dataOut.normFactor |
|
|
561 | 561 | else: |
|
|
562 | 562 | factor = normFactor |
|
|
563 | 563 | |
|
|
564 | 564 | # factor = dataOut.normFactor |
|
|
565 | 565 | x = dataOut.getTimeRange() |
|
|
566 | 566 | y = dataOut.getHeiRange() |
|
|
567 | 567 | |
|
|
568 | 568 | z = dataOut.data_spc/factor |
|
|
569 | 569 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
570 | 570 | avg = numpy.average(z, axis=1) |
|
|
571 | 571 | avgdB = 10.*numpy.log10(avg) |
|
|
572 | 572 | # avgdB = dataOut.getPower() |
|
|
573 | 573 | |
|
|
574 | 574 | |
|
|
575 | 575 | thisDatetime = dataOut.datatime |
|
|
576 | 576 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
577 | 577 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
578 | 578 | xlabel = "" |
|
|
579 | 579 | ylabel = "Range (Km)" |
|
|
580 | 580 | |
|
|
581 | 581 | update_figfile = False |
|
|
582 | 582 | |
|
|
583 | 583 | if dataOut.ltctime >= self.xmax: |
|
|
584 | 584 | self.counter_imagwr = wr_period |
|
|
585 | 585 | self.isConfig = False |
|
|
586 | 586 | update_figfile = True |
|
|
587 | 587 | |
|
|
588 | 588 | if not self.isConfig: |
|
|
589 | 589 | |
|
|
590 | 590 | nplots = len(channelIndexList) |
|
|
591 | 591 | |
|
|
592 | 592 | self.setup(id=id, |
|
|
593 | 593 | nplots=nplots, |
|
|
594 | 594 | wintitle=wintitle, |
|
|
595 | 595 | showprofile=showprofile, |
|
|
596 | 596 | show=show) |
|
|
597 | 597 | |
|
|
598 | 598 | if timerange != None: |
|
|
599 | 599 | self.timerange = timerange |
|
|
600 | 600 | |
|
|
601 | 601 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
602 | 602 | |
|
|
603 | 603 | noise = dataOut.noise/factor |
|
|
604 | 604 | noisedB = 10*numpy.log10(noise) |
|
|
605 | 605 | |
|
|
606 | 606 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
607 | 607 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
608 | 608 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
609 | 609 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
610 | 610 | |
|
|
611 | 611 | self.FTP_WEI = ftp_wei |
|
|
612 | 612 | self.EXP_CODE = exp_code |
|
|
613 | 613 | self.SUB_EXP_CODE = sub_exp_code |
|
|
614 | 614 | self.PLOT_POS = plot_pos |
|
|
615 | 615 | |
|
|
616 | 616 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
617 | 617 | self.isConfig = True |
|
|
618 | 618 | self.figfile = figfile |
|
|
619 | 619 | update_figfile = True |
|
|
620 | 620 | |
|
|
621 | 621 | self.setWinTitle(title) |
|
|
622 | 622 | |
|
|
623 | 623 | for i in range(self.nplots): |
|
|
624 | 624 | index = channelIndexList[i] |
|
|
625 | 625 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
626 | 626 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
627 | 627 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
628 | 628 | axes = self.axesList[i*self.__nsubplots] |
|
|
629 | 629 | zdB = avgdB[index].reshape((1,-1)) |
|
|
630 | 630 | axes.pcolorbuffer(x, y, zdB, |
|
|
631 | 631 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
632 | 632 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
633 | 633 | ticksize=9, cblabel='', cbsize="1%", colormap=colormap) |
|
|
634 | 634 | |
|
|
635 | 635 | if self.__showprofile: |
|
|
636 | 636 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
637 | 637 | axes.pline(avgdB[index], y, |
|
|
638 | 638 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
639 | 639 | xlabel='dB', ylabel='', title='', |
|
|
640 | 640 | ytick_visible=False, |
|
|
641 | 641 | grid='x') |
|
|
642 | 642 | |
|
|
643 | 643 | self.draw() |
|
|
644 | 644 | |
|
|
645 | 645 | self.save(figpath=figpath, |
|
|
646 | 646 | figfile=figfile, |
|
|
647 | 647 | save=save, |
|
|
648 | 648 | ftp=ftp, |
|
|
649 | 649 | wr_period=wr_period, |
|
|
650 | 650 | thisDatetime=thisDatetime, |
|
|
651 | 651 | update_figfile=update_figfile) |
|
|
652 | 652 | |
|
|
653 | 653 | class CoherenceMap(Figure): |
|
|
654 | 654 | isConfig = None |
|
|
655 | 655 | __nsubplots = None |
|
|
656 | 656 | |
|
|
657 | 657 | WIDTHPROF = None |
|
|
658 | 658 | HEIGHTPROF = None |
|
|
659 | 659 | PREFIX = 'cmap' |
|
|
660 | 660 | |
|
|
661 | 661 | def __init__(self, **kwargs): |
|
|
662 | 662 | Figure.__init__(self, **kwargs) |
|
|
663 | 663 | self.timerange = 2*60*60 |
|
|
664 | 664 | self.isConfig = False |
|
|
665 | 665 | self.__nsubplots = 1 |
|
|
666 | 666 | |
|
|
667 | 667 | self.WIDTH = 800 |
|
|
668 | 668 | self.HEIGHT = 180 |
|
|
669 | 669 | self.WIDTHPROF = 120 |
|
|
670 | 670 | self.HEIGHTPROF = 0 |
|
|
671 | 671 | self.counter_imagwr = 0 |
|
|
672 | 672 | |
|
|
673 | 673 | self.PLOT_CODE = COH_CODE |
|
|
674 | 674 | |
|
|
675 | 675 | self.FTP_WEI = None |
|
|
676 | 676 | self.EXP_CODE = None |
|
|
677 | 677 | self.SUB_EXP_CODE = None |
|
|
678 | 678 | self.PLOT_POS = None |
|
|
679 | 679 | self.counter_imagwr = 0 |
|
|
680 | 680 | |
|
|
681 | 681 | self.xmin = None |
|
|
682 | 682 | self.xmax = None |
|
|
683 | 683 | |
|
|
684 | 684 | def getSubplots(self): |
|
|
685 | 685 | ncol = 1 |
|
|
686 | 686 | nrow = self.nplots*2 |
|
|
687 | 687 | |
|
|
688 | 688 | return nrow, ncol |
|
|
689 | 689 | |
|
|
690 | 690 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
691 | 691 | self.__showprofile = showprofile |
|
|
692 | 692 | self.nplots = nplots |
|
|
693 | 693 | |
|
|
694 | 694 | ncolspan = 1 |
|
|
695 | 695 | colspan = 1 |
|
|
696 | 696 | if showprofile: |
|
|
697 | 697 | ncolspan = 7 |
|
|
698 | 698 | colspan = 6 |
|
|
699 | 699 | self.__nsubplots = 2 |
|
|
700 | 700 | |
|
|
701 | 701 | self.createFigure(id = id, |
|
|
702 | 702 | wintitle = wintitle, |
|
|
703 | 703 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
704 | 704 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
705 | 705 | show=True) |
|
|
706 | 706 | |
|
|
707 | 707 | nrow, ncol = self.getSubplots() |
|
|
708 | 708 | |
|
|
709 | 709 | for y in range(nrow): |
|
|
710 | 710 | for x in range(ncol): |
|
|
711 | 711 | |
|
|
712 | 712 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
713 | 713 | |
|
|
714 | 714 | if showprofile: |
|
|
715 | 715 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
716 | 716 | |
|
|
717 | 717 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
718 | 718 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
719 | 719 | timerange=None, phase_min=None, phase_max=None, |
|
|
720 | 720 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
|
721 | 721 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
|
722 | 722 | server=None, folder=None, username=None, password=None, |
|
|
723 | 723 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
724 | 724 | |
|
|
725 | 725 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
726 | 726 | return |
|
|
727 | 727 | |
|
|
728 | 728 | if pairsList == None: |
|
|
729 | 729 | pairsIndexList = dataOut.pairsIndexList |
|
|
730 | 730 | else: |
|
|
731 | 731 | pairsIndexList = [] |
|
|
732 | 732 | for pair in pairsList: |
|
|
733 | 733 | if pair not in dataOut.pairsList: |
|
|
734 | 734 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
|
735 | 735 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
736 | 736 | |
|
|
737 | 737 | if pairsIndexList == []: |
|
|
738 | 738 | return |
|
|
739 | 739 | |
|
|
740 | 740 | if len(pairsIndexList) > 4: |
|
|
741 | 741 | pairsIndexList = pairsIndexList[0:4] |
|
|
742 | 742 | |
|
|
743 | 743 | if phase_min == None: |
|
|
744 | 744 | phase_min = -180 |
|
|
745 | 745 | if phase_max == None: |
|
|
746 | 746 | phase_max = 180 |
|
|
747 | 747 | |
|
|
748 | 748 | x = dataOut.getTimeRange() |
|
|
749 | 749 | y = dataOut.getHeiRange() |
|
|
750 | 750 | |
|
|
751 | 751 | thisDatetime = dataOut.datatime |
|
|
752 | 752 | |
|
|
753 | 753 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
754 | 754 | xlabel = "" |
|
|
755 | 755 | ylabel = "Range (Km)" |
|
|
756 | 756 | update_figfile = False |
|
|
757 | 757 | |
|
|
758 | 758 | if not self.isConfig: |
|
|
759 | 759 | nplots = len(pairsIndexList) |
|
|
760 | 760 | self.setup(id=id, |
|
|
761 | 761 | nplots=nplots, |
|
|
762 | 762 | wintitle=wintitle, |
|
|
763 | 763 | showprofile=showprofile, |
|
|
764 | 764 | show=show) |
|
|
765 | 765 | |
|
|
766 | 766 | if timerange != None: |
|
|
767 | 767 | self.timerange = timerange |
|
|
768 | 768 | |
|
|
769 | 769 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
770 | 770 | |
|
|
771 | 771 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
772 | 772 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
773 | 773 | if zmin == None: zmin = 0. |
|
|
774 | 774 | if zmax == None: zmax = 1. |
|
|
775 | 775 | |
|
|
776 | 776 | self.FTP_WEI = ftp_wei |
|
|
777 | 777 | self.EXP_CODE = exp_code |
|
|
778 | 778 | self.SUB_EXP_CODE = sub_exp_code |
|
|
779 | 779 | self.PLOT_POS = plot_pos |
|
|
780 | 780 | |
|
|
781 | 781 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
782 | 782 | |
|
|
783 | 783 | self.isConfig = True |
|
|
784 | 784 | update_figfile = True |
|
|
785 | 785 | |
|
|
786 | 786 | self.setWinTitle(title) |
|
|
787 | 787 | |
|
|
788 | 788 | for i in range(self.nplots): |
|
|
789 | 789 | |
|
|
790 | 790 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
791 | 791 | |
|
|
792 | 792 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) |
|
|
793 | 793 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) |
|
|
794 | 794 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) |
|
|
795 | 795 | |
|
|
796 | 796 | |
|
|
797 | 797 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|
798 | 798 | coherence = numpy.abs(avgcoherenceComplex) |
|
|
799 | 799 | |
|
|
800 | 800 | z = coherence.reshape((1,-1)) |
|
|
801 | 801 | |
|
|
802 | 802 | counter = 0 |
|
|
803 | 803 | |
|
|
804 | 804 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
805 | 805 | axes = self.axesList[i*self.__nsubplots*2] |
|
|
806 | 806 | axes.pcolorbuffer(x, y, z, |
|
|
807 | 807 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
808 | 808 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
809 | 809 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") |
|
|
810 | 810 | |
|
|
811 | 811 | if self.__showprofile: |
|
|
812 | 812 | counter += 1 |
|
|
813 | 813 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|
814 | 814 | axes.pline(coherence, y, |
|
|
815 | 815 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
816 | 816 | xlabel='', ylabel='', title='', ticksize=7, |
|
|
817 | 817 | ytick_visible=False, nxticks=5, |
|
|
818 | 818 | grid='x') |
|
|
819 | 819 | |
|
|
820 | 820 | counter += 1 |
|
|
821 | 821 | |
|
|
822 | 822 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
|
823 | 823 | |
|
|
824 | 824 | z = phase.reshape((1,-1)) |
|
|
825 | 825 | |
|
|
826 | 826 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
827 | 827 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|
828 | 828 | axes.pcolorbuffer(x, y, z, |
|
|
829 | 829 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
|
830 | 830 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
831 | 831 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") |
|
|
832 | 832 | |
|
|
833 | 833 | if self.__showprofile: |
|
|
834 | 834 | counter += 1 |
|
|
835 | 835 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|
836 | 836 | axes.pline(phase, y, |
|
|
837 | 837 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, |
|
|
838 | 838 | xlabel='', ylabel='', title='', ticksize=7, |
|
|
839 | 839 | ytick_visible=False, nxticks=4, |
|
|
840 | 840 | grid='x') |
|
|
841 | 841 | |
|
|
842 | 842 | self.draw() |
|
|
843 | 843 | |
|
|
844 | 844 | if dataOut.ltctime >= self.xmax: |
|
|
845 | 845 | self.counter_imagwr = wr_period |
|
|
846 | 846 | self.isConfig = False |
|
|
847 | 847 | update_figfile = True |
|
|
848 | 848 | |
|
|
849 | 849 | self.save(figpath=figpath, |
|
|
850 | 850 | figfile=figfile, |
|
|
851 | 851 | save=save, |
|
|
852 | 852 | ftp=ftp, |
|
|
853 | 853 | wr_period=wr_period, |
|
|
854 | 854 | thisDatetime=thisDatetime, |
|
|
855 | 855 | update_figfile=update_figfile) |
|
|
856 | 856 | |
|
|
857 | 857 | class PowerProfilePlot(Figure): |
|
|
858 | 858 | |
|
|
859 | 859 | isConfig = None |
|
|
860 | 860 | __nsubplots = None |
|
|
861 | 861 | |
|
|
862 | 862 | WIDTHPROF = None |
|
|
863 | 863 | HEIGHTPROF = None |
|
|
864 | 864 | PREFIX = 'spcprofile' |
|
|
865 | 865 | |
|
|
866 | 866 | def __init__(self, **kwargs): |
|
|
867 | 867 | Figure.__init__(self, **kwargs) |
|
|
868 | 868 | self.isConfig = False |
|
|
869 | 869 | self.__nsubplots = 1 |
|
|
870 | 870 | |
|
|
871 | 871 | self.PLOT_CODE = POWER_CODE |
|
|
872 | 872 | |
|
|
873 | 873 | self.WIDTH = 300 |
|
|
874 | 874 | self.HEIGHT = 500 |
|
|
875 | 875 | self.counter_imagwr = 0 |
|
|
876 | 876 | |
|
|
877 | 877 | def getSubplots(self): |
|
|
878 | 878 | ncol = 1 |
|
|
879 | 879 | nrow = 1 |
|
|
880 | 880 | |
|
|
881 | 881 | return nrow, ncol |
|
|
882 | 882 | |
|
|
883 | 883 | def setup(self, id, nplots, wintitle, show): |
|
|
884 | 884 | |
|
|
885 | 885 | self.nplots = nplots |
|
|
886 | 886 | |
|
|
887 | 887 | ncolspan = 1 |
|
|
888 | 888 | colspan = 1 |
|
|
889 | 889 | |
|
|
890 | 890 | self.createFigure(id = id, |
|
|
891 | 891 | wintitle = wintitle, |
|
|
892 | 892 | widthplot = self.WIDTH, |
|
|
893 | 893 | heightplot = self.HEIGHT, |
|
|
894 | 894 | show=show) |
|
|
895 | 895 | |
|
|
896 | 896 | nrow, ncol = self.getSubplots() |
|
|
897 | 897 | |
|
|
898 | 898 | counter = 0 |
|
|
899 | 899 | for y in range(nrow): |
|
|
900 | 900 | for x in range(ncol): |
|
|
901 | 901 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
902 | 902 | |
|
|
903 | 903 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
904 | 904 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
905 | 905 | save=False, figpath='./', figfile=None, show=True, |
|
|
906 | 906 | ftp=False, wr_period=1, server=None, |
|
|
907 | 907 | folder=None, username=None, password=None): |
|
|
908 | 908 | |
|
|
909 | 909 | |
|
|
910 | 910 | if channelList == None: |
|
|
911 | 911 | channelIndexList = dataOut.channelIndexList |
|
|
912 | 912 | channelList = dataOut.channelList |
|
|
913 | 913 | else: |
|
|
914 | 914 | channelIndexList = [] |
|
|
915 | 915 | for channel in channelList: |
|
|
916 | 916 | if channel not in dataOut.channelList: |
|
|
917 | 917 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
918 | 918 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
919 | 919 | |
|
|
920 | 920 | factor = dataOut.normFactor |
|
|
921 | 921 | |
|
|
922 | 922 | y = dataOut.getHeiRange() |
|
|
923 | 923 | |
|
|
924 | 924 | #for voltage |
|
|
925 | 925 | if dataOut.type == 'Voltage': |
|
|
926 | 926 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
|
927 | 927 | x = x.real |
|
|
928 | 928 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
|
929 | 929 | |
|
|
930 | 930 | #for spectra |
|
|
931 | 931 | if dataOut.type == 'Spectra': |
|
|
932 | 932 | x = dataOut.data_spc[channelIndexList,:,:]/factor |
|
|
933 | 933 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
|
934 | 934 | x = numpy.average(x, axis=1) |
|
|
935 | 935 | |
|
|
936 | 936 | |
|
|
937 | 937 | xdB = 10*numpy.log10(x) |
|
|
938 | 938 | |
|
|
939 | 939 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
940 | 940 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
941 | 941 | xlabel = "dB" |
|
|
942 | 942 | ylabel = "Range (Km)" |
|
|
943 | 943 | |
|
|
944 | 944 | if not self.isConfig: |
|
|
945 | 945 | |
|
|
946 | 946 | nplots = 1 |
|
|
947 | 947 | |
|
|
948 | 948 | self.setup(id=id, |
|
|
949 | 949 | nplots=nplots, |
|
|
950 | 950 | wintitle=wintitle, |
|
|
951 | 951 | show=show) |
|
|
952 | 952 | |
|
|
953 | 953 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
954 | 954 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
955 | 955 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 |
|
|
956 | 956 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 |
|
|
957 | 957 | |
|
|
958 | 958 | self.isConfig = True |
|
|
959 | 959 | |
|
|
960 | 960 | self.setWinTitle(title) |
|
|
961 | 961 | |
|
|
962 | 962 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
963 | 963 | axes = self.axesList[0] |
|
|
964 | 964 | |
|
|
965 | 965 | legendlabels = ["channel %d"%x for x in channelList] |
|
|
966 | 966 | axes.pmultiline(xdB, y, |
|
|
967 | 967 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
968 | 968 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
|
969 | 969 | ytick_visible=True, nxticks=5, |
|
|
970 | 970 | grid='x') |
|
|
971 | 971 | |
|
|
972 | 972 | self.draw() |
|
|
973 | 973 | |
|
|
974 | 974 | self.save(figpath=figpath, |
|
|
975 | 975 | figfile=figfile, |
|
|
976 | 976 | save=save, |
|
|
977 | 977 | ftp=ftp, |
|
|
978 | 978 | wr_period=wr_period, |
|
|
979 | 979 | thisDatetime=thisDatetime) |
|
|
980 | 980 | |
|
|
981 | 981 | class SpectraCutPlot(Figure): |
|
|
982 | 982 | |
|
|
983 | 983 | isConfig = None |
|
|
984 | 984 | __nsubplots = None |
|
|
985 | 985 | |
|
|
986 | 986 | WIDTHPROF = None |
|
|
987 | 987 | HEIGHTPROF = None |
|
|
988 | 988 | PREFIX = 'spc_cut' |
|
|
989 | 989 | |
|
|
990 | 990 | def __init__(self, **kwargs): |
|
|
991 | 991 | Figure.__init__(self, **kwargs) |
|
|
992 | 992 | self.isConfig = False |
|
|
993 | 993 | self.__nsubplots = 1 |
|
|
994 | 994 | |
|
|
995 | 995 | self.PLOT_CODE = POWER_CODE |
|
|
996 | 996 | |
|
|
997 | 997 | self.WIDTH = 700 |
|
|
998 | 998 | self.HEIGHT = 500 |
|
|
999 | 999 | self.counter_imagwr = 0 |
|
|
1000 | 1000 | |
|
|
1001 | 1001 | def getSubplots(self): |
|
|
1002 | 1002 | ncol = 1 |
|
|
1003 | 1003 | nrow = 1 |
|
|
1004 | 1004 | |
|
|
1005 | 1005 | return nrow, ncol |
|
|
1006 | 1006 | |
|
|
1007 | 1007 | def setup(self, id, nplots, wintitle, show): |
|
|
1008 | 1008 | |
|
|
1009 | 1009 | self.nplots = nplots |
|
|
1010 | 1010 | |
|
|
1011 | 1011 | ncolspan = 1 |
|
|
1012 | 1012 | colspan = 1 |
|
|
1013 | 1013 | |
|
|
1014 | 1014 | self.createFigure(id = id, |
|
|
1015 | 1015 | wintitle = wintitle, |
|
|
1016 | 1016 | widthplot = self.WIDTH, |
|
|
1017 | 1017 | heightplot = self.HEIGHT, |
|
|
1018 | 1018 | show=show) |
|
|
1019 | 1019 | |
|
|
1020 | 1020 | nrow, ncol = self.getSubplots() |
|
|
1021 | 1021 | |
|
|
1022 | 1022 | counter = 0 |
|
|
1023 | 1023 | for y in range(nrow): |
|
|
1024 | 1024 | for x in range(ncol): |
|
|
1025 | 1025 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1026 | 1026 | |
|
|
1027 | 1027 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
1028 | 1028 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1029 | 1029 | save=False, figpath='./', figfile=None, show=True, |
|
|
1030 | 1030 | ftp=False, wr_period=1, server=None, |
|
|
1031 | 1031 | folder=None, username=None, password=None, |
|
|
1032 | 1032 | xaxis="frequency"): |
|
|
1033 | 1033 | |
|
|
1034 | 1034 | |
|
|
1035 | 1035 | if channelList == None: |
|
|
1036 | 1036 | channelIndexList = dataOut.channelIndexList |
|
|
1037 | 1037 | channelList = dataOut.channelList |
|
|
1038 | 1038 | else: |
|
|
1039 | 1039 | channelIndexList = [] |
|
|
1040 | 1040 | for channel in channelList: |
|
|
1041 | 1041 | if channel not in dataOut.channelList: |
|
|
1042 | 1042 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
1043 | 1043 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
1044 | 1044 | |
|
|
1045 | 1045 | factor = dataOut.normFactor |
|
|
1046 | 1046 | |
|
|
1047 | 1047 | y = dataOut.getHeiRange() |
|
|
1048 | 1048 | |
|
|
1049 | 1049 | z = dataOut.data_spc/factor |
|
|
1050 | 1050 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
1051 | 1051 | |
|
|
1052 | 1052 | hei_index = numpy.arange(25)*3 + 20 |
|
|
1053 | 1053 | |
|
|
1054 | 1054 | if xaxis == "frequency": |
|
|
1055 | 1055 | x = dataOut.getFreqRange()/1000. |
|
|
1056 | 1056 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
|
1057 | 1057 | xlabel = "Frequency (kHz)" |
|
|
1058 | 1058 | ylabel = "Power (dB)" |
|
|
1059 | 1059 | |
|
|
1060 | 1060 | elif xaxis == "time": |
|
|
1061 | 1061 | x = dataOut.getAcfRange() |
|
|
1062 | 1062 | zdB = z[0,:,hei_index] |
|
|
1063 | 1063 | xlabel = "Time (ms)" |
|
|
1064 | 1064 | ylabel = "ACF" |
|
|
1065 | 1065 | |
|
|
1066 | 1066 | else: |
|
|
1067 | 1067 | x = dataOut.getVelRange() |
|
|
1068 | 1068 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
|
1069 | 1069 | xlabel = "Velocity (m/s)" |
|
|
1070 | 1070 | ylabel = "Power (dB)" |
|
|
1071 | 1071 | |
|
|
1072 | 1072 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
1073 | 1073 | title = wintitle + " Range Cuts %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1074 | 1074 | |
|
|
1075 | 1075 | if not self.isConfig: |
|
|
1076 | 1076 | |
|
|
1077 | 1077 | nplots = 1 |
|
|
1078 | 1078 | |
|
|
1079 | 1079 | self.setup(id=id, |
|
|
1080 | 1080 | nplots=nplots, |
|
|
1081 | 1081 | wintitle=wintitle, |
|
|
1082 | 1082 | show=show) |
|
|
1083 | 1083 | |
|
|
1084 | 1084 | if xmin == None: xmin = numpy.nanmin(x)*0.9 |
|
|
1085 | 1085 | if xmax == None: xmax = numpy.nanmax(x)*1.1 |
|
|
1086 | 1086 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
|
1087 | 1087 | if ymax == None: ymax = numpy.nanmax(zdB) |
|
|
1088 | 1088 | |
|
|
1089 | 1089 | self.isConfig = True |
|
|
1090 | 1090 | |
|
|
1091 | 1091 | self.setWinTitle(title) |
|
|
1092 | 1092 | |
|
|
1093 | 1093 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
1094 | 1094 | axes = self.axesList[0] |
|
|
1095 | 1095 | |
|
|
1096 | 1096 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | axes.pmultilineyaxis( x, zdB, |
|
|
1099 | 1099 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
1100 | 1100 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
|
1101 | 1101 | ytick_visible=True, nxticks=5, |
|
|
1102 | 1102 | grid='x') |
|
|
1103 | 1103 | |
|
|
1104 | 1104 | self.draw() |
|
|
1105 | 1105 | |
|
|
1106 | 1106 | self.save(figpath=figpath, |
|
|
1107 | 1107 | figfile=figfile, |
|
|
1108 | 1108 | save=save, |
|
|
1109 | 1109 | ftp=ftp, |
|
|
1110 | 1110 | wr_period=wr_period, |
|
|
1111 | 1111 | thisDatetime=thisDatetime) |
|
|
1112 | 1112 | |
|
|
1113 | 1113 | class Noise(Figure): |
|
|
1114 | 1114 | |
|
|
1115 | 1115 | isConfig = None |
|
|
1116 | 1116 | __nsubplots = None |
|
|
1117 | 1117 | |
|
|
1118 | 1118 | PREFIX = 'noise' |
|
|
1119 | 1119 | |
|
|
1120 | 1120 | |
|
|
1121 | 1121 | def __init__(self, **kwargs): |
|
|
1122 | 1122 | Figure.__init__(self, **kwargs) |
|
|
1123 | 1123 | self.timerange = 24*60*60 |
|
|
1124 | 1124 | self.isConfig = False |
|
|
1125 | 1125 | self.__nsubplots = 1 |
|
|
1126 | 1126 | self.counter_imagwr = 0 |
|
|
1127 | 1127 | self.WIDTH = 800 |
|
|
1128 | 1128 | self.HEIGHT = 400 |
|
|
1129 | 1129 | self.WIDTHPROF = 120 |
|
|
1130 | 1130 | self.HEIGHTPROF = 0 |
|
|
1131 | 1131 | self.xdata = None |
|
|
1132 | 1132 | self.ydata = None |
|
|
1133 | 1133 | |
|
|
1134 | 1134 | self.PLOT_CODE = NOISE_CODE |
|
|
1135 | 1135 | |
|
|
1136 | 1136 | self.FTP_WEI = None |
|
|
1137 | 1137 | self.EXP_CODE = None |
|
|
1138 | 1138 | self.SUB_EXP_CODE = None |
|
|
1139 | 1139 | self.PLOT_POS = None |
|
|
1140 | 1140 | self.figfile = None |
|
|
1141 | 1141 | |
|
|
1142 | 1142 | self.xmin = None |
|
|
1143 | 1143 | self.xmax = None |
|
|
1144 | 1144 | |
|
|
1145 | 1145 | def getSubplots(self): |
|
|
1146 | 1146 | |
|
|
1147 | 1147 | ncol = 1 |
|
|
1148 | 1148 | nrow = 1 |
|
|
1149 | 1149 | |
|
|
1150 | 1150 | return nrow, ncol |
|
|
1151 | 1151 | |
|
|
1152 | 1152 | def openfile(self, filename): |
|
|
1153 | 1153 | dirname = os.path.dirname(filename) |
|
|
1154 | 1154 | |
|
|
1155 | 1155 | if not os.path.exists(dirname): |
|
|
1156 | 1156 | os.mkdir(dirname) |
|
|
1157 | 1157 | |
|
|
1158 | 1158 | f = open(filename,'w+') |
|
|
1159 | 1159 | f.write('\n\n') |
|
|
1160 | 1160 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') |
|
|
1161 | 1161 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) |
|
|
1162 | 1162 | f.close() |
|
|
1163 | 1163 | |
|
|
1164 | 1164 | def save_data(self, filename_phase, data, data_datetime): |
|
|
1165 | 1165 | |
|
|
1166 | 1166 | f=open(filename_phase,'a') |
|
|
1167 | 1167 | |
|
|
1168 | 1168 | timetuple_data = data_datetime.timetuple() |
|
|
1169 | 1169 | day = str(timetuple_data.tm_mday) |
|
|
1170 | 1170 | month = str(timetuple_data.tm_mon) |
|
|
1171 | 1171 | year = str(timetuple_data.tm_year) |
|
|
1172 | 1172 | hour = str(timetuple_data.tm_hour) |
|
|
1173 | 1173 | minute = str(timetuple_data.tm_min) |
|
|
1174 | 1174 | second = str(timetuple_data.tm_sec) |
|
|
1175 | 1175 | |
|
|
1176 | 1176 | data_msg = '' |
|
|
1177 | 1177 | for i in range(len(data)): |
|
|
1178 | 1178 | data_msg += str(data[i]) + ' ' |
|
|
1179 | 1179 | |
|
|
1180 | 1180 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') |
|
|
1181 | 1181 | f.close() |
|
|
1182 | 1182 | |
|
|
1183 | 1183 | |
|
|
1184 | 1184 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1185 | 1185 | |
|
|
1186 | 1186 | self.__showprofile = showprofile |
|
|
1187 | 1187 | self.nplots = nplots |
|
|
1188 | 1188 | |
|
|
1189 | 1189 | ncolspan = 7 |
|
|
1190 | 1190 | colspan = 6 |
|
|
1191 | 1191 | self.__nsubplots = 2 |
|
|
1192 | 1192 | |
|
|
1193 | 1193 | self.createFigure(id = id, |
|
|
1194 | 1194 | wintitle = wintitle, |
|
|
1195 | 1195 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
1196 | 1196 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
1197 | 1197 | show=show) |
|
|
1198 | 1198 | |
|
|
1199 | 1199 | nrow, ncol = self.getSubplots() |
|
|
1200 | 1200 | |
|
|
1201 | 1201 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
1202 | 1202 | |
|
|
1203 | 1203 | |
|
|
1204 | 1204 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
|
1205 | 1205 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1206 | 1206 | timerange=None, |
|
|
1207 | 1207 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1208 | 1208 | server=None, folder=None, username=None, password=None, |
|
|
1209 | 1209 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1210 | 1210 | |
|
|
1211 | 1211 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
1212 | 1212 | return |
|
|
1213 | 1213 | |
|
|
1214 | 1214 | if channelList == None: |
|
|
1215 | 1215 | channelIndexList = dataOut.channelIndexList |
|
|
1216 | 1216 | channelList = dataOut.channelList |
|
|
1217 | 1217 | else: |
|
|
1218 | 1218 | channelIndexList = [] |
|
|
1219 | 1219 | for channel in channelList: |
|
|
1220 | 1220 | if channel not in dataOut.channelList: |
|
|
1221 | 1221 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
1222 | 1222 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
1223 | 1223 | |
|
|
1224 | 1224 | x = dataOut.getTimeRange() |
|
|
1225 | 1225 | #y = dataOut.getHeiRange() |
|
|
1226 | 1226 | factor = dataOut.normFactor |
|
|
1227 | 1227 | noise = dataOut.noise[channelIndexList]/factor |
|
|
1228 | 1228 | noisedB = 10*numpy.log10(noise) |
|
|
1229 | 1229 | |
|
|
1230 | 1230 | thisDatetime = dataOut.datatime |
|
|
1231 | 1231 | |
|
|
1232 | 1232 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1233 | 1233 | xlabel = "" |
|
|
1234 | 1234 | ylabel = "Intensity (dB)" |
|
|
1235 | 1235 | update_figfile = False |
|
|
1236 | 1236 | |
|
|
1237 | 1237 | if not self.isConfig: |
|
|
1238 | 1238 | |
|
|
1239 | 1239 | nplots = 1 |
|
|
1240 | 1240 | |
|
|
1241 | 1241 | self.setup(id=id, |
|
|
1242 | 1242 | nplots=nplots, |
|
|
1243 | 1243 | wintitle=wintitle, |
|
|
1244 | 1244 | showprofile=showprofile, |
|
|
1245 | 1245 | show=show) |
|
|
1246 | 1246 | |
|
|
1247 | 1247 | if timerange != None: |
|
|
1248 | 1248 | self.timerange = timerange |
|
|
1249 | 1249 | |
|
|
1250 | 1250 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1251 | 1251 | |
|
|
1252 | 1252 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 |
|
|
1253 | 1253 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 |
|
|
1254 | 1254 | |
|
|
1255 | 1255 | self.FTP_WEI = ftp_wei |
|
|
1256 | 1256 | self.EXP_CODE = exp_code |
|
|
1257 | 1257 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1258 | 1258 | self.PLOT_POS = plot_pos |
|
|
1259 | 1259 | |
|
|
1260 | 1260 | |
|
|
1261 | 1261 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1262 | 1262 | self.isConfig = True |
|
|
1263 | 1263 | self.figfile = figfile |
|
|
1264 | 1264 | self.xdata = numpy.array([]) |
|
|
1265 | 1265 | self.ydata = numpy.array([]) |
|
|
1266 | 1266 | |
|
|
1267 | 1267 | update_figfile = True |
|
|
1268 | 1268 | |
|
|
1269 | 1269 | #open file beacon phase |
|
|
1270 | 1270 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
1271 | 1271 | noise_file = os.path.join(path,'%s.txt'%self.name) |
|
|
1272 | 1272 | self.filename_noise = os.path.join(figpath,noise_file) |
|
|
1273 | 1273 | |
|
|
1274 | 1274 | self.setWinTitle(title) |
|
|
1275 | 1275 | |
|
|
1276 | 1276 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1277 | 1277 | |
|
|
1278 | 1278 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] |
|
|
1279 | 1279 | axes = self.axesList[0] |
|
|
1280 | 1280 | |
|
|
1281 | 1281 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
1282 | 1282 | |
|
|
1283 | 1283 | if len(self.ydata)==0: |
|
|
1284 | 1284 | self.ydata = noisedB.reshape(-1,1) |
|
|
1285 | 1285 | else: |
|
|
1286 | 1286 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) |
|
|
1287 | 1287 | |
|
|
1288 | 1288 | |
|
|
1289 | 1289 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
1290 | 1290 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
1291 | 1291 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
1292 | 1292 | XAxisAsTime=True, grid='both' |
|
|
1293 | 1293 | ) |
|
|
1294 | 1294 | |
|
|
1295 | 1295 | self.draw() |
|
|
1296 | 1296 | |
|
|
1297 | 1297 | if dataOut.ltctime >= self.xmax: |
|
|
1298 | 1298 | self.counter_imagwr = wr_period |
|
|
1299 | 1299 | self.isConfig = False |
|
|
1300 | 1300 | update_figfile = True |
|
|
1301 | 1301 | |
|
|
1302 | 1302 | self.save(figpath=figpath, |
|
|
1303 | 1303 | figfile=figfile, |
|
|
1304 | 1304 | save=save, |
|
|
1305 | 1305 | ftp=ftp, |
|
|
1306 | 1306 | wr_period=wr_period, |
|
|
1307 | 1307 | thisDatetime=thisDatetime, |
|
|
1308 | 1308 | update_figfile=update_figfile) |
|
|
1309 | 1309 | |
|
|
1310 | 1310 | #store data beacon phase |
|
|
1311 | 1311 | if save: |
|
|
1312 | 1312 | self.save_data(self.filename_noise, noisedB, thisDatetime) |
|
|
1313 | 1313 | |
|
|
1314 | 1314 | class BeaconPhase(Figure): |
|
|
1315 | 1315 | |
|
|
1316 | 1316 | __isConfig = None |
|
|
1317 | 1317 | __nsubplots = None |
|
|
1318 | 1318 | |
|
|
1319 | 1319 | PREFIX = 'beacon_phase' |
|
|
1320 | 1320 | |
|
|
1321 | 1321 | def __init__(self, **kwargs): |
|
|
1322 | 1322 | Figure.__init__(self, **kwargs) |
|
|
1323 | 1323 | self.timerange = 24*60*60 |
|
|
1324 | 1324 | self.isConfig = False |
|
|
1325 | 1325 | self.__nsubplots = 1 |
|
|
1326 | 1326 | self.counter_imagwr = 0 |
|
|
1327 | 1327 | self.WIDTH = 800 |
|
|
1328 | 1328 | self.HEIGHT = 400 |
|
|
1329 | 1329 | self.WIDTHPROF = 120 |
|
|
1330 | 1330 | self.HEIGHTPROF = 0 |
|
|
1331 | 1331 | self.xdata = None |
|
|
1332 | 1332 | self.ydata = None |
|
|
1333 | 1333 | |
|
|
1334 | 1334 | self.PLOT_CODE = BEACON_CODE |
|
|
1335 | 1335 | |
|
|
1336 | 1336 | self.FTP_WEI = None |
|
|
1337 | 1337 | self.EXP_CODE = None |
|
|
1338 | 1338 | self.SUB_EXP_CODE = None |
|
|
1339 | 1339 | self.PLOT_POS = None |
|
|
1340 | 1340 | |
|
|
1341 | 1341 | self.filename_phase = None |
|
|
1342 | 1342 | |
|
|
1343 | 1343 | self.figfile = None |
|
|
1344 | 1344 | |
|
|
1345 | 1345 | self.xmin = None |
|
|
1346 | 1346 | self.xmax = None |
|
|
1347 | 1347 | |
|
|
1348 | 1348 | def getSubplots(self): |
|
|
1349 | 1349 | |
|
|
1350 | 1350 | ncol = 1 |
|
|
1351 | 1351 | nrow = 1 |
|
|
1352 | 1352 | |
|
|
1353 | 1353 | return nrow, ncol |
|
|
1354 | 1354 | |
|
|
1355 | 1355 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1356 | 1356 | |
|
|
1357 | 1357 | self.__showprofile = showprofile |
|
|
1358 | 1358 | self.nplots = nplots |
|
|
1359 | 1359 | |
|
|
1360 | 1360 | ncolspan = 7 |
|
|
1361 | 1361 | colspan = 6 |
|
|
1362 | 1362 | self.__nsubplots = 2 |
|
|
1363 | 1363 | |
|
|
1364 | 1364 | self.createFigure(id = id, |
|
|
1365 | 1365 | wintitle = wintitle, |
|
|
1366 | 1366 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
1367 | 1367 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
1368 | 1368 | show=show) |
|
|
1369 | 1369 | |
|
|
1370 | 1370 | nrow, ncol = self.getSubplots() |
|
|
1371 | 1371 | |
|
|
1372 | 1372 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
1373 | 1373 | |
|
|
1374 | 1374 | def save_phase(self, filename_phase): |
|
|
1375 | 1375 | f = open(filename_phase,'w+') |
|
|
1376 | 1376 | f.write('\n\n') |
|
|
1377 | 1377 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') |
|
|
1378 | 1378 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) |
|
|
1379 | 1379 | f.close() |
|
|
1380 | 1380 | |
|
|
1381 | 1381 | def save_data(self, filename_phase, data, data_datetime): |
|
|
1382 | 1382 | f=open(filename_phase,'a') |
|
|
1383 | 1383 | timetuple_data = data_datetime.timetuple() |
|
|
1384 | 1384 | day = str(timetuple_data.tm_mday) |
|
|
1385 | 1385 | month = str(timetuple_data.tm_mon) |
|
|
1386 | 1386 | year = str(timetuple_data.tm_year) |
|
|
1387 | 1387 | hour = str(timetuple_data.tm_hour) |
|
|
1388 | 1388 | minute = str(timetuple_data.tm_min) |
|
|
1389 | 1389 | second = str(timetuple_data.tm_sec) |
|
|
1390 | 1390 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
|
1391 | 1391 | f.close() |
|
|
1392 | 1392 | |
|
|
1393 | 1393 | |
|
|
1394 | 1394 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
1395 | 1395 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, |
|
|
1396 | 1396 | timerange=None, |
|
|
1397 | 1397 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1398 | 1398 | server=None, folder=None, username=None, password=None, |
|
|
1399 | 1399 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1400 | 1400 | |
|
|
1401 | 1401 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
1402 | 1402 | return |
|
|
1403 | 1403 | |
|
|
1404 | 1404 | if pairsList == None: |
|
|
1405 | 1405 | pairsIndexList = dataOut.pairsIndexList[:10] |
|
|
1406 | 1406 | else: |
|
|
1407 | 1407 | pairsIndexList = [] |
|
|
1408 | 1408 | for pair in pairsList: |
|
|
1409 | 1409 | if pair not in dataOut.pairsList: |
|
|
1410 | 1410 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
|
1411 | 1411 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
1412 | 1412 | |
|
|
1413 | 1413 | if pairsIndexList == []: |
|
|
1414 | 1414 | return |
|
|
1415 | 1415 | |
|
|
1416 | 1416 | # if len(pairsIndexList) > 4: |
|
|
1417 | 1417 | # pairsIndexList = pairsIndexList[0:4] |
|
|
1418 | 1418 | |
|
|
1419 | 1419 | hmin_index = None |
|
|
1420 | 1420 | hmax_index = None |
|
|
1421 | 1421 | |
|
|
1422 | 1422 | if hmin != None and hmax != None: |
|
|
1423 | 1423 | indexes = numpy.arange(dataOut.nHeights) |
|
|
1424 | 1424 | hmin_list = indexes[dataOut.heightList >= hmin] |
|
|
1425 | 1425 | hmax_list = indexes[dataOut.heightList <= hmax] |
|
|
1426 | 1426 | |
|
|
1427 | 1427 | if hmin_list.any(): |
|
|
1428 | 1428 | hmin_index = hmin_list[0] |
|
|
1429 | 1429 | |
|
|
1430 | 1430 | if hmax_list.any(): |
|
|
1431 | 1431 | hmax_index = hmax_list[-1]+1 |
|
|
1432 | 1432 | |
|
|
1433 | 1433 | x = dataOut.getTimeRange() |
|
|
1434 | 1434 | #y = dataOut.getHeiRange() |
|
|
1435 | 1435 | |
|
|
1436 | 1436 | |
|
|
1437 | 1437 | thisDatetime = dataOut.datatime |
|
|
1438 | 1438 | |
|
|
1439 | 1439 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1440 | 1440 | xlabel = "Local Time" |
|
|
1441 | 1441 | ylabel = "Phase (degrees)" |
|
|
1442 | 1442 | |
|
|
1443 | 1443 | update_figfile = False |
|
|
1444 | 1444 | |
|
|
1445 | 1445 | nplots = len(pairsIndexList) |
|
|
1446 | 1446 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
|
1447 | 1447 | phase_beacon = numpy.zeros(len(pairsIndexList)) |
|
|
1448 | 1448 | for i in range(nplots): |
|
|
1449 | 1449 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
1450 | 1450 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) |
|
|
1451 | 1451 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) |
|
|
1452 | 1452 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) |
|
|
1453 | 1453 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|
1454 | 1454 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
|
1455 | 1455 | |
|
|
1456 | 1456 | #print "Phase %d%d" %(pair[0], pair[1]) |
|
|
1457 | 1457 | #print phase[dataOut.beacon_heiIndexList] |
|
|
1458 | 1458 | |
|
|
1459 | 1459 | if dataOut.beacon_heiIndexList: |
|
|
1460 | 1460 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) |
|
|
1461 | 1461 | else: |
|
|
1462 | 1462 | phase_beacon[i] = numpy.average(phase) |
|
|
1463 | 1463 | |
|
|
1464 | 1464 | if not self.isConfig: |
|
|
1465 | 1465 | |
|
|
1466 | 1466 | nplots = len(pairsIndexList) |
|
|
1467 | 1467 | |
|
|
1468 | 1468 | self.setup(id=id, |
|
|
1469 | 1469 | nplots=nplots, |
|
|
1470 | 1470 | wintitle=wintitle, |
|
|
1471 | 1471 | showprofile=showprofile, |
|
|
1472 | 1472 | show=show) |
|
|
1473 | 1473 | |
|
|
1474 | 1474 | if timerange != None: |
|
|
1475 | 1475 | self.timerange = timerange |
|
|
1476 | 1476 | |
|
|
1477 | 1477 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1478 | 1478 | |
|
|
1479 | 1479 | if ymin == None: ymin = 0 |
|
|
1480 | 1480 | if ymax == None: ymax = 360 |
|
|
1481 | 1481 | |
|
|
1482 | 1482 | self.FTP_WEI = ftp_wei |
|
|
1483 | 1483 | self.EXP_CODE = exp_code |
|
|
1484 | 1484 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1485 | 1485 | self.PLOT_POS = plot_pos |
|
|
1486 | 1486 | |
|
|
1487 | 1487 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1488 | 1488 | self.isConfig = True |
|
|
1489 | 1489 | self.figfile = figfile |
|
|
1490 | 1490 | self.xdata = numpy.array([]) |
|
|
1491 | 1491 | self.ydata = numpy.array([]) |
|
|
1492 | 1492 | |
|
|
1493 | 1493 | update_figfile = True |
|
|
1494 | 1494 | |
|
|
1495 | 1495 | #open file beacon phase |
|
|
1496 | 1496 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
1497 | 1497 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
|
1498 | 1498 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
|
1499 | 1499 | #self.save_phase(self.filename_phase) |
|
|
1500 | 1500 | |
|
|
1501 | 1501 | |
|
|
1502 | 1502 | #store data beacon phase |
|
|
1503 | 1503 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
|
1504 | 1504 | |
|
|
1505 | 1505 | self.setWinTitle(title) |
|
|
1506 | 1506 | |
|
|
1507 | 1507 | |
|
|
1508 | 1508 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1509 | 1509 | |
|
|
1510 | 1510 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] |
|
|
1511 | 1511 | |
|
|
1512 | 1512 | axes = self.axesList[0] |
|
|
1513 | 1513 | |
|
|
1514 | 1514 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
1515 | 1515 | |
|
|
1516 | 1516 | if len(self.ydata)==0: |
|
|
1517 | 1517 | self.ydata = phase_beacon.reshape(-1,1) |
|
|
1518 | 1518 | else: |
|
|
1519 | 1519 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
|
1520 | 1520 | |
|
|
1521 | 1521 | |
|
|
1522 | 1522 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
1523 | 1523 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
1524 | 1524 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
1525 | 1525 | XAxisAsTime=True, grid='both' |
|
|
1526 | 1526 | ) |
|
|
1527 | 1527 | |
|
|
1528 | 1528 | self.draw() |
|
|
1529 | 1529 | |
|
|
1530 | 1530 | if dataOut.ltctime >= self.xmax: |
|
|
1531 | 1531 | self.counter_imagwr = wr_period |
|
|
1532 | 1532 | self.isConfig = False |
|
|
1533 | 1533 | update_figfile = True |
|
|
1534 | 1534 | |
|
|
1535 | 1535 | self.save(figpath=figpath, |
|
|
1536 | 1536 | figfile=figfile, |
|
|
1537 | 1537 | save=save, |
|
|
1538 | 1538 | ftp=ftp, |
|
|
1539 | 1539 | wr_period=wr_period, |
|
|
1540 | 1540 | thisDatetime=thisDatetime, |
|
|
1541 | 1541 | update_figfile=update_figfile) |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
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1 | NO CONTENT: modified file, binary diff hidden |
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|
1 | NO CONTENT: modified file, binary diff hidden |
| @@ -1,482 +1,481 | |||
|
|
1 | 1 | import numpy |
|
|
2 | 2 | import datetime |
|
|
3 | 3 | import sys |
|
|
4 | 4 | import matplotlib |
|
|
5 | 5 | |
|
|
6 | 6 | if 'linux' in sys.platform: |
|
|
7 | 7 | matplotlib.use("TKAgg") |
|
|
8 | 8 | |
|
|
9 | 9 | if 'darwin' in sys.platform: |
|
|
10 | 10 | matplotlib.use('TKAgg') |
|
|
11 | 11 | #Qt4Agg', 'GTK', 'GTKAgg', 'ps', 'agg', 'cairo', 'MacOSX', 'GTKCairo', 'WXAgg', 'template', 'TkAgg', 'GTK3Cairo', 'GTK3Agg', 'svg', 'WebAgg', 'CocoaAgg', 'emf', 'gdk', 'WX' |
|
|
12 | 12 | import matplotlib.pyplot |
|
|
13 | 13 | |
|
|
14 | 14 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
|
15 | 15 | from matplotlib.ticker import FuncFormatter, LinearLocator |
|
|
16 | 16 | |
|
|
17 | 17 | ########################################### |
|
|
18 | 18 | #Actualizacion de las funciones del driver |
|
|
19 | 19 | ########################################### |
|
|
20 | 20 | |
|
|
21 | 21 | # create jro colormap |
|
|
22 | 22 | |
|
|
23 | 23 | jet_values = matplotlib.pyplot.get_cmap("jet", 100)(numpy.arange(100))[10:90] |
|
|
24 | 24 | blu_values = matplotlib.pyplot.get_cmap("seismic_r", 20)(numpy.arange(20))[10:15] |
|
|
25 | 25 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list("jro", numpy.vstack((blu_values, jet_values))) |
|
|
26 | 26 | matplotlib.pyplot.register_cmap(cmap=ncmap) |
|
|
27 | 27 | |
|
|
28 | 28 | def createFigure(id, wintitle, width, height, facecolor="w", show=True, dpi = 80): |
|
|
29 | 29 | |
|
|
30 | 30 | matplotlib.pyplot.ioff() |
|
|
31 | 31 | |
|
|
32 | 32 | fig = matplotlib.pyplot.figure(num=id, facecolor=facecolor, figsize=(1.0*width/dpi, 1.0*height/dpi)) |
|
|
33 | 33 | fig.canvas.manager.set_window_title(wintitle) |
|
|
34 | 34 | # fig.canvas.manager.resize(width, height) |
|
|
35 | 35 | matplotlib.pyplot.ion() |
|
|
36 | 36 | |
|
|
37 | 37 | if show: |
|
|
38 | 38 | matplotlib.pyplot.show() |
|
|
39 | 39 | |
|
|
40 | 40 | return fig |
|
|
41 | 41 | |
|
|
42 | 42 | def closeFigure(show=False, fig=None): |
|
|
43 | 43 | |
|
|
44 | 44 | # matplotlib.pyplot.ioff() |
|
|
45 | 45 | # matplotlib.pyplot.pause(0) |
|
|
46 | 46 | |
|
|
47 | 47 | if show: |
|
|
48 | 48 | matplotlib.pyplot.show() |
|
|
49 | 49 | |
|
|
50 | 50 | if fig != None: |
|
|
51 | 51 | matplotlib.pyplot.close(fig) |
|
|
52 | 52 | # matplotlib.pyplot.pause(0) |
|
|
53 | 53 | # matplotlib.pyplot.ion() |
|
|
54 | 54 | |
|
|
55 | 55 | return |
|
|
56 | 56 | |
|
|
57 | 57 | matplotlib.pyplot.close("all") |
|
|
58 | 58 | # matplotlib.pyplot.pause(0) |
|
|
59 | 59 | # matplotlib.pyplot.ion() |
|
|
60 | 60 | |
|
|
61 | 61 | return |
|
|
62 | 62 | |
|
|
63 | 63 | def saveFigure(fig, filename): |
|
|
64 | 64 | |
|
|
65 | 65 | # matplotlib.pyplot.ioff() |
|
|
66 | 66 | fig.savefig(filename, dpi=matplotlib.pyplot.gcf().dpi) |
|
|
67 | 67 | # matplotlib.pyplot.ion() |
|
|
68 | 68 | |
|
|
69 | 69 | def clearFigure(fig): |
|
|
70 | 70 | |
|
|
71 | 71 | fig.clf() |
|
|
72 | 72 | |
|
|
73 | 73 | def setWinTitle(fig, title): |
|
|
74 | 74 | |
|
|
75 | 75 | fig.canvas.manager.set_window_title(title) |
|
|
76 | 76 | |
|
|
77 | 77 | def setTitle(fig, title): |
|
|
78 | 78 | |
|
|
79 | 79 | fig.suptitle(title) |
|
|
80 | 80 | |
|
|
81 | 81 | def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan, polar=False): |
|
|
82 | 82 | |
|
|
83 | 83 | matplotlib.pyplot.ioff() |
|
|
84 | 84 | matplotlib.pyplot.figure(fig.number) |
|
|
85 | 85 | axes = matplotlib.pyplot.subplot2grid((nrow, ncol), |
|
|
86 | 86 | (xpos, ypos), |
|
|
87 | 87 | colspan=colspan, |
|
|
88 | 88 | rowspan=rowspan, |
|
|
89 | 89 | polar=polar) |
|
|
90 | 90 | |
|
|
91 | 91 | axes.grid(True) |
|
|
92 | 92 | |
|
|
93 | 93 | matplotlib.pyplot.ion() |
|
|
94 | 94 | return axes |
|
|
95 | 95 | |
|
|
96 | 96 | def setAxesText(ax, text): |
|
|
97 | 97 | |
|
|
98 | 98 | ax.annotate(text, |
|
|
99 | 99 | xy = (.1, .99), |
|
|
100 | 100 | xycoords = 'figure fraction', |
|
|
101 | 101 | horizontalalignment = 'left', |
|
|
102 | 102 | verticalalignment = 'top', |
|
|
103 | 103 | fontsize = 10) |
|
|
104 | 104 | |
|
|
105 | 105 | def printLabels(ax, xlabel, ylabel, title): |
|
|
106 | 106 | |
|
|
107 | 107 | ax.set_xlabel(xlabel, size=11) |
|
|
108 | 108 | ax.set_ylabel(ylabel, size=11) |
|
|
109 | 109 | ax.set_title(title, size=8) |
|
|
110 | 110 | |
|
|
111 | 111 | def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', |
|
|
112 | 112 | ticksize=9, xtick_visible=True, ytick_visible=True, |
|
|
113 | 113 | nxticks=4, nyticks=10, |
|
|
114 | 114 | grid=None,color='blue'): |
|
|
115 | 115 | |
|
|
116 | 116 | """ |
|
|
117 | 117 | |
|
|
118 | 118 | Input: |
|
|
119 | 119 | grid : None, 'both', 'x', 'y' |
|
|
120 | 120 | """ |
|
|
121 | 121 | |
|
|
122 | 122 | matplotlib.pyplot.ioff() |
|
|
123 | 123 | |
|
|
124 | 124 | ax.set_xlim([xmin,xmax]) |
|
|
125 | 125 | ax.set_ylim([ymin,ymax]) |
|
|
126 | 126 | |
|
|
127 | 127 | printLabels(ax, xlabel, ylabel, title) |
|
|
128 | 128 | |
|
|
129 | 129 | ###################################################### |
|
|
130 | 130 | if (xmax-xmin)<=1: |
|
|
131 | 131 | xtickspos = numpy.linspace(xmin,xmax,nxticks) |
|
|
132 | 132 | xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos]) |
|
|
133 | 133 | ax.set_xticks(xtickspos) |
|
|
134 | 134 | else: |
|
|
135 | 135 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) |
|
|
136 | 136 | # xtickspos = numpy.arange(nxticks)*float(xmax-xmin)/float(nxticks) + int(xmin) |
|
|
137 | 137 | ax.set_xticks(xtickspos) |
|
|
138 | 138 | |
|
|
139 | 139 | for tick in ax.get_xticklabels(): |
|
|
140 | 140 | tick.set_visible(xtick_visible) |
|
|
141 | 141 | |
|
|
142 | 142 | for tick in ax.xaxis.get_major_ticks(): |
|
|
143 | 143 | tick.label.set_fontsize(ticksize) |
|
|
144 | 144 | |
|
|
145 | 145 | ###################################################### |
|
|
146 | 146 | for tick in ax.get_yticklabels(): |
|
|
147 | 147 | tick.set_visible(ytick_visible) |
|
|
148 | 148 | |
|
|
149 | 149 | for tick in ax.yaxis.get_major_ticks(): |
|
|
150 | 150 | tick.label.set_fontsize(ticksize) |
|
|
151 | 151 | |
|
|
152 | 152 | ax.plot(x, y, color=color) |
|
|
153 | 153 | iplot = ax.lines[-1] |
|
|
154 | 154 | |
|
|
155 | 155 | ###################################################### |
|
|
156 | 156 | if '0.' in matplotlib.__version__[0:2]: |
|
|
157 | 157 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
|
158 | 158 | return iplot |
|
|
159 | 159 | |
|
|
160 | 160 | if '1.0.' in matplotlib.__version__[0:4]: |
|
|
161 | 161 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
|
162 | 162 | return iplot |
|
|
163 | 163 | |
|
|
164 | 164 | if grid != None: |
|
|
165 | 165 | ax.grid(b=True, which='major', axis=grid) |
|
|
166 | 166 | |
|
|
167 | 167 | matplotlib.pyplot.tight_layout() |
|
|
168 | 168 | |
|
|
169 | 169 | matplotlib.pyplot.ion() |
|
|
170 | 170 | |
|
|
171 | 171 | return iplot |
|
|
172 | 172 | |
|
|
173 | 173 | def set_linedata(ax, x, y, idline): |
|
|
174 | 174 | |
|
|
175 | 175 | ax.lines[idline].set_data(x,y) |
|
|
176 | 176 | |
|
|
177 | 177 | def pline(iplot, x, y, xlabel='', ylabel='', title=''): |
|
|
178 | 178 | |
|
|
179 | 179 | ax = iplot.get_axes() |
|
|
180 | 180 | |
|
|
181 | 181 | printLabels(ax, xlabel, ylabel, title) |
|
|
182 | 182 | |
|
|
183 | 183 | set_linedata(ax, x, y, idline=0) |
|
|
184 | 184 | |
|
|
185 | 185 | def addpline(ax, x, y, color, linestyle, lw): |
|
|
186 | 186 | |
|
|
187 | 187 | ax.plot(x,y,color=color,linestyle=linestyle,lw=lw) |
|
|
188 | 188 | |
|
|
189 | 189 | |
|
|
190 | 190 | def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax, |
|
|
191 | 191 | xlabel='', ylabel='', title='', ticksize = 9, |
|
|
192 | 192 | colormap='jet',cblabel='', cbsize="5%", |
|
|
193 | 193 | XAxisAsTime=False): |
|
|
194 | 194 | |
|
|
195 | 195 | matplotlib.pyplot.ioff() |
|
|
196 | 196 | |
|
|
197 | 197 | divider = make_axes_locatable(ax) |
|
|
198 | 198 | ax_cb = divider.new_horizontal(size=cbsize, pad=0.05) |
|
|
199 | 199 | fig = ax.get_figure() |
|
|
200 | 200 | fig.add_axes(ax_cb) |
|
|
201 | 201 | |
|
|
202 | 202 | ax.set_xlim([xmin,xmax]) |
|
|
203 | 203 | ax.set_ylim([ymin,ymax]) |
|
|
204 | 204 | |
|
|
205 | 205 | printLabels(ax, xlabel, ylabel, title) |
|
|
206 | 206 | |
|
|
207 | 207 | z = numpy.ma.masked_invalid(z) |
|
|
208 | 208 | cmap=matplotlib.pyplot.get_cmap(colormap) |
|
|
209 | 209 | cmap.set_bad('white',1.) |
|
|
210 | 210 | imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=cmap) |
|
|
211 | 211 | cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb) |
|
|
212 | 212 | cb.set_label(cblabel) |
|
|
213 | 213 | |
|
|
214 | 214 | # for tl in ax_cb.get_yticklabels(): |
|
|
215 | 215 | # tl.set_visible(True) |
|
|
216 | 216 | |
|
|
217 | 217 | for tick in ax.yaxis.get_major_ticks(): |
|
|
218 | 218 | tick.label.set_fontsize(ticksize) |
|
|
219 | 219 | |
|
|
220 | 220 | for tick in ax.xaxis.get_major_ticks(): |
|
|
221 | 221 | tick.label.set_fontsize(ticksize) |
|
|
222 | 222 | |
|
|
223 | 223 | for tick in cb.ax.get_yticklabels(): |
|
|
224 | 224 | tick.set_fontsize(ticksize) |
|
|
225 | 225 | |
|
|
226 | 226 | ax_cb.yaxis.tick_right() |
|
|
227 | 227 | |
|
|
228 | 228 | if '0.' in matplotlib.__version__[0:2]: |
|
|
229 | 229 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
|
230 | 230 | return imesh |
|
|
231 | 231 | |
|
|
232 | 232 | if '1.0.' in matplotlib.__version__[0:4]: |
|
|
233 | 233 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
|
234 | 234 | return imesh |
|
|
235 | 235 | |
|
|
236 | 236 | matplotlib.pyplot.tight_layout() |
|
|
237 | 237 | |
|
|
238 | 238 | if XAxisAsTime: |
|
|
239 | 239 | |
|
|
240 | 240 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S")) |
|
|
241 | 241 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
|
242 | 242 | ax.xaxis.set_major_locator(LinearLocator(7)) |
|
|
243 | 243 | |
|
|
244 | 244 | ax.grid(True) |
|
|
245 | 245 | matplotlib.pyplot.ion() |
|
|
246 | 246 | return imesh |
|
|
247 | 247 | |
|
|
248 | 248 | def pcolor(imesh, z, xlabel='', ylabel='', title=''): |
|
|
249 | 249 | |
|
|
250 | 250 | z = numpy.ma.masked_invalid(z) |
|
|
251 | 251 | |
|
|
252 | 252 | cmap=matplotlib.pyplot.get_cmap('jet') |
|
|
253 | 253 | cmap.set_bad('white',1.) |
|
|
254 | 254 | |
|
|
255 | 255 | z = z.T |
|
|
256 | 256 | ax = imesh.get_axes() |
|
|
257 | 257 | printLabels(ax, xlabel, ylabel, title) |
|
|
258 | 258 | imesh.set_array(z.ravel()) |
|
|
259 | 259 | ax.grid(True) |
|
|
260 | 260 | |
|
|
261 | 261 | |
|
|
262 | 262 | def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'): |
|
|
263 | 263 | |
|
|
264 | 264 | printLabels(ax, xlabel, ylabel, title) |
|
|
265 | 265 | z = numpy.ma.masked_invalid(z) |
|
|
266 | 266 | cmap=matplotlib.pyplot.get_cmap(colormap) |
|
|
267 | 267 | cmap.set_bad('white',1.) |
|
|
268 | 268 | ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap)) |
|
|
269 | 269 | ax.grid(True) |
|
|
270 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
271 | 270 | |
|
|
272 | 271 | def addpcolorbuffer(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'): |
|
|
273 | 272 | |
|
|
274 | 273 | printLabels(ax, xlabel, ylabel, title) |
|
|
275 | 274 | |
|
|
276 | 275 | ax.collections.remove(ax.collections[0]) |
|
|
277 | 276 | |
|
|
278 | 277 | z = numpy.ma.masked_invalid(z) |
|
|
279 | 278 | |
|
|
280 | 279 | cmap=matplotlib.pyplot.get_cmap(colormap) |
|
|
281 | 280 | cmap.set_bad('white',1.) |
|
|
282 | 281 | |
|
|
283 | 282 | ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=cmap) |
|
|
284 | 283 | ax.grid(True) |
|
|
285 | 284 | |
|
|
286 | 285 | |
|
|
287 | 286 | def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None, |
|
|
288 | 287 | ticksize=9, xtick_visible=True, ytick_visible=True, |
|
|
289 | 288 | nxticks=4, nyticks=10, |
|
|
290 | 289 | grid=None): |
|
|
291 | 290 | |
|
|
292 | 291 | """ |
|
|
293 | 292 | |
|
|
294 | 293 | Input: |
|
|
295 | 294 | grid : None, 'both', 'x', 'y' |
|
|
296 | 295 | """ |
|
|
297 | 296 | |
|
|
298 | 297 | matplotlib.pyplot.ioff() |
|
|
299 | 298 | |
|
|
300 | 299 | lines = ax.plot(x.T, y) |
|
|
301 | 300 | leg = ax.legend(lines, legendlabels, loc='upper right') |
|
|
302 | 301 | leg.get_frame().set_alpha(0.5) |
|
|
303 | 302 | ax.set_xlim([xmin,xmax]) |
|
|
304 | 303 | ax.set_ylim([ymin,ymax]) |
|
|
305 | 304 | printLabels(ax, xlabel, ylabel, title) |
|
|
306 | 305 | |
|
|
307 | 306 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) |
|
|
308 | 307 | ax.set_xticks(xtickspos) |
|
|
309 | 308 | |
|
|
310 | 309 | for tick in ax.get_xticklabels(): |
|
|
311 | 310 | tick.set_visible(xtick_visible) |
|
|
312 | 311 | |
|
|
313 | 312 | for tick in ax.xaxis.get_major_ticks(): |
|
|
314 | 313 | tick.label.set_fontsize(ticksize) |
|
|
315 | 314 | |
|
|
316 | 315 | for tick in ax.get_yticklabels(): |
|
|
317 | 316 | tick.set_visible(ytick_visible) |
|
|
318 | 317 | |
|
|
319 | 318 | for tick in ax.yaxis.get_major_ticks(): |
|
|
320 | 319 | tick.label.set_fontsize(ticksize) |
|
|
321 | 320 | |
|
|
322 | 321 | iplot = ax.lines[-1] |
|
|
323 | 322 | |
|
|
324 | 323 | if '0.' in matplotlib.__version__[0:2]: |
|
|
325 | 324 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
|
326 | 325 | return iplot |
|
|
327 | 326 | |
|
|
328 | 327 | if '1.0.' in matplotlib.__version__[0:4]: |
|
|
329 | 328 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
|
330 | 329 | return iplot |
|
|
331 | 330 | |
|
|
332 | 331 | if grid != None: |
|
|
333 | 332 | ax.grid(b=True, which='major', axis=grid) |
|
|
334 | 333 | |
|
|
335 | 334 | matplotlib.pyplot.tight_layout() |
|
|
336 | 335 | |
|
|
337 | 336 | matplotlib.pyplot.ion() |
|
|
338 | 337 | |
|
|
339 | 338 | return iplot |
|
|
340 | 339 | |
|
|
341 | 340 | |
|
|
342 | 341 | def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''): |
|
|
343 | 342 | |
|
|
344 | 343 | ax = iplot.get_axes() |
|
|
345 | 344 | |
|
|
346 | 345 | printLabels(ax, xlabel, ylabel, title) |
|
|
347 | 346 | |
|
|
348 | 347 | for i in range(len(ax.lines)): |
|
|
349 | 348 | line = ax.lines[i] |
|
|
350 | 349 | line.set_data(x[i,:],y) |
|
|
351 | 350 | |
|
|
352 | 351 | def createPmultilineYAxis(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None, |
|
|
353 | 352 | ticksize=9, xtick_visible=True, ytick_visible=True, |
|
|
354 | 353 | nxticks=4, nyticks=10, marker='.', markersize=10, linestyle="None", |
|
|
355 | 354 | grid=None, XAxisAsTime=False): |
|
|
356 | 355 | |
|
|
357 | 356 | """ |
|
|
358 | 357 | |
|
|
359 | 358 | Input: |
|
|
360 | 359 | grid : None, 'both', 'x', 'y' |
|
|
361 | 360 | """ |
|
|
362 | 361 | |
|
|
363 | 362 | matplotlib.pyplot.ioff() |
|
|
364 | 363 | |
|
|
365 | 364 | # lines = ax.plot(x, y.T, marker=marker,markersize=markersize,linestyle=linestyle) |
|
|
366 | 365 | lines = ax.plot(x, y.T) |
|
|
367 | 366 | # leg = ax.legend(lines, legendlabels, loc=2, bbox_to_anchor=(1.01, 1.00), numpoints=1, handlelength=1.5, \ |
|
|
368 | 367 | # handletextpad=0.5, borderpad=0.5, labelspacing=0.5, borderaxespad=0.) |
|
|
369 | 368 | |
|
|
370 | 369 | leg = ax.legend(lines, legendlabels, |
|
|
371 | 370 | loc='upper right', bbox_to_anchor=(1.16, 1), borderaxespad=0) |
|
|
372 | 371 | |
|
|
373 | 372 | for label in leg.get_texts(): label.set_fontsize(9) |
|
|
374 | 373 | |
|
|
375 | 374 | ax.set_xlim([xmin,xmax]) |
|
|
376 | 375 | ax.set_ylim([ymin,ymax]) |
|
|
377 | 376 | printLabels(ax, xlabel, ylabel, title) |
|
|
378 | 377 | |
|
|
379 | 378 | # xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) |
|
|
380 | 379 | # ax.set_xticks(xtickspos) |
|
|
381 | 380 | |
|
|
382 | 381 | for tick in ax.get_xticklabels(): |
|
|
383 | 382 | tick.set_visible(xtick_visible) |
|
|
384 | 383 | |
|
|
385 | 384 | for tick in ax.xaxis.get_major_ticks(): |
|
|
386 | 385 | tick.label.set_fontsize(ticksize) |
|
|
387 | 386 | |
|
|
388 | 387 | for tick in ax.get_yticklabels(): |
|
|
389 | 388 | tick.set_visible(ytick_visible) |
|
|
390 | 389 | |
|
|
391 | 390 | for tick in ax.yaxis.get_major_ticks(): |
|
|
392 | 391 | tick.label.set_fontsize(ticksize) |
|
|
393 | 392 | |
|
|
394 | 393 | iplot = ax.lines[-1] |
|
|
395 | 394 | |
|
|
396 | 395 | if '0.' in matplotlib.__version__[0:2]: |
|
|
397 | 396 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
|
398 | 397 | return iplot |
|
|
399 | 398 | |
|
|
400 | 399 | if '1.0.' in matplotlib.__version__[0:4]: |
|
|
401 | 400 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
|
402 | 401 | return iplot |
|
|
403 | 402 | |
|
|
404 | 403 | if grid != None: |
|
|
405 | 404 | ax.grid(b=True, which='major', axis=grid) |
|
|
406 | 405 | |
|
|
407 | 406 | matplotlib.pyplot.tight_layout() |
|
|
408 | 407 | |
|
|
409 | 408 | if XAxisAsTime: |
|
|
410 | 409 | |
|
|
411 | 410 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S")) |
|
|
412 | 411 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
|
413 | 412 | ax.xaxis.set_major_locator(LinearLocator(7)) |
|
|
414 | 413 | |
|
|
415 | 414 | matplotlib.pyplot.ion() |
|
|
416 | 415 | |
|
|
417 | 416 | return iplot |
|
|
418 | 417 | |
|
|
419 | 418 | def pmultilineyaxis(iplot, x, y, xlabel='', ylabel='', title=''): |
|
|
420 | 419 | |
|
|
421 | 420 | ax = iplot.get_axes() |
|
|
422 | 421 | printLabels(ax, xlabel, ylabel, title) |
|
|
423 | 422 | |
|
|
424 | 423 | for i in range(len(ax.lines)): |
|
|
425 | 424 | line = ax.lines[i] |
|
|
426 | 425 | line.set_data(x,y[i,:]) |
|
|
427 | 426 | |
|
|
428 | 427 | def createPolar(ax, x, y, |
|
|
429 | 428 | xlabel='', ylabel='', title='', ticksize = 9, |
|
|
430 | 429 | colormap='jet',cblabel='', cbsize="5%", |
|
|
431 | 430 | XAxisAsTime=False): |
|
|
432 | 431 | |
|
|
433 | 432 | matplotlib.pyplot.ioff() |
|
|
434 | 433 | |
|
|
435 | 434 | ax.plot(x,y,'bo', markersize=5) |
|
|
436 | 435 | # ax.set_rmax(90) |
|
|
437 | 436 | ax.set_ylim(0,90) |
|
|
438 | 437 | ax.set_yticks(numpy.arange(0,90,20)) |
|
|
439 | 438 | # ax.text(0, -110, ylabel, rotation='vertical', va ='center', ha = 'center' ,size='11') |
|
|
440 | 439 | # ax.text(0, 50, ylabel, rotation='vertical', va ='center', ha = 'left' ,size='11') |
|
|
441 | 440 | # ax.text(100, 100, 'example', ha='left', va='center', rotation='vertical') |
|
|
442 | 441 | ax.yaxis.labelpad = 230 |
|
|
443 | 442 | printLabels(ax, xlabel, ylabel, title) |
|
|
444 | 443 | iplot = ax.lines[-1] |
|
|
445 | 444 | |
|
|
446 | 445 | if '0.' in matplotlib.__version__[0:2]: |
|
|
447 | 446 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
|
448 | 447 | return iplot |
|
|
449 | 448 | |
|
|
450 | 449 | if '1.0.' in matplotlib.__version__[0:4]: |
|
|
451 | 450 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
|
452 | 451 | return iplot |
|
|
453 | 452 | |
|
|
454 | 453 | # if grid != None: |
|
|
455 | 454 | # ax.grid(b=True, which='major', axis=grid) |
|
|
456 | 455 | |
|
|
457 | 456 | matplotlib.pyplot.tight_layout() |
|
|
458 | 457 | |
|
|
459 | 458 | matplotlib.pyplot.ion() |
|
|
460 | 459 | |
|
|
461 | 460 | |
|
|
462 | 461 | return iplot |
|
|
463 | 462 | |
|
|
464 | 463 | def polar(iplot, x, y, xlabel='', ylabel='', title=''): |
|
|
465 | 464 | |
|
|
466 | 465 | ax = iplot.get_axes() |
|
|
467 | 466 | |
|
|
468 | 467 | # ax.text(0, -110, ylabel, rotation='vertical', va ='center', ha = 'center',size='11') |
|
|
469 | 468 | printLabels(ax, xlabel, ylabel, title) |
|
|
470 | 469 | |
|
|
471 | 470 | set_linedata(ax, x, y, idline=0) |
|
|
472 | 471 | |
|
|
473 | 472 | def draw(fig): |
|
|
474 | 473 | |
|
|
475 | 474 | if type(fig) == 'int': |
|
|
476 | 475 | raise ValueError, "Error drawing: Fig parameter should be a matplotlib figure object figure" |
|
|
477 | 476 | |
|
|
478 | 477 | fig.canvas.draw() |
|
|
479 | 478 | |
|
|
480 | 479 | def pause(interval=0.000001): |
|
|
481 | 480 | |
|
|
482 | 481 | matplotlib.pyplot.pause(interval) |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
| @@ -1,1794 +1,1795 | |||
|
|
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, datetime |
|
|
14 | 14 | #import h5py |
|
|
15 | 15 | import traceback |
|
|
16 | 16 | |
|
|
17 | 17 | try: |
|
|
18 | 18 | from gevent import sleep |
|
|
19 | 19 | except: |
|
|
20 | 20 | from time import sleep |
|
|
21 | 21 | |
|
|
22 | 22 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
23 | 23 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width |
|
|
24 | 24 | |
|
|
25 | 25 | LOCALTIME = True |
|
|
26 | 26 | |
|
|
27 | 27 | def isNumber(cad): |
|
|
28 | 28 | """ |
|
|
29 | 29 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
30 | 30 | |
|
|
31 | 31 | Excepciones: |
|
|
32 | 32 | Si un determinado string no puede ser convertido a numero |
|
|
33 | 33 | Input: |
|
|
34 | 34 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
35 | 35 | |
|
|
36 | 36 | Return: |
|
|
37 | 37 | True : si el string es uno numerico |
|
|
38 | 38 | False : no es un string numerico |
|
|
39 | 39 | """ |
|
|
40 | 40 | try: |
|
|
41 | 41 | float( cad ) |
|
|
42 | 42 | return True |
|
|
43 | 43 | except: |
|
|
44 | 44 | return False |
|
|
45 | 45 | |
|
|
46 | 46 | def isFileInEpoch(filename, startUTSeconds, endUTSeconds): |
|
|
47 | 47 | """ |
|
|
48 | 48 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|
49 | 49 | |
|
|
50 | 50 | Inputs: |
|
|
51 | 51 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
52 | 52 | |
|
|
53 | 53 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|
54 | 54 | segundos contados desde 01/01/1970. |
|
|
55 | 55 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|
56 | 56 | segundos contados desde 01/01/1970. |
|
|
57 | 57 | |
|
|
58 | 58 | Return: |
|
|
59 | 59 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
60 | 60 | fecha especificado, de lo contrario retorna False. |
|
|
61 | 61 | |
|
|
62 | 62 | Excepciones: |
|
|
63 | 63 | Si el archivo no existe o no puede ser abierto |
|
|
64 | 64 | Si la cabecera no puede ser leida. |
|
|
65 | 65 | |
|
|
66 | 66 | """ |
|
|
67 | 67 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
68 | 68 | |
|
|
69 | 69 | try: |
|
|
70 | 70 | fp = open(filename,'rb') |
|
|
71 | 71 | except IOError: |
|
|
72 | 72 | print "The file %s can't be opened" %(filename) |
|
|
73 | 73 | return 0 |
|
|
74 | 74 | |
|
|
75 | 75 | sts = basicHeaderObj.read(fp) |
|
|
76 | 76 | fp.close() |
|
|
77 | 77 | |
|
|
78 | 78 | if not(sts): |
|
|
79 | 79 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
|
80 | 80 | return 0 |
|
|
81 | 81 | |
|
|
82 | 82 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|
83 | 83 | return 0 |
|
|
84 | 84 | |
|
|
85 | 85 | return 1 |
|
|
86 | 86 | |
|
|
87 | 87 | def isTimeInRange(thisTime, startTime, endTime): |
|
|
88 | 88 | |
|
|
89 | 89 | if endTime >= startTime: |
|
|
90 | 90 | if (thisTime < startTime) or (thisTime > endTime): |
|
|
91 | 91 | return 0 |
|
|
92 | 92 | |
|
|
93 | 93 | return 1 |
|
|
94 | 94 | else: |
|
|
95 | 95 | if (thisTime < startTime) and (thisTime > endTime): |
|
|
96 | 96 | return 0 |
|
|
97 | 97 | |
|
|
98 | 98 | return 1 |
|
|
99 | 99 | |
|
|
100 | 100 | def isFileInTimeRange(filename, startDate, endDate, startTime, endTime): |
|
|
101 | 101 | """ |
|
|
102 | 102 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
103 | 103 | |
|
|
104 | 104 | Inputs: |
|
|
105 | 105 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
106 | 106 | |
|
|
107 | 107 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
108 | 108 | |
|
|
109 | 109 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
110 | 110 | |
|
|
111 | 111 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|
112 | 112 | |
|
|
113 | 113 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|
114 | 114 | |
|
|
115 | 115 | Return: |
|
|
116 | 116 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
117 | 117 | fecha especificado, de lo contrario retorna False. |
|
|
118 | 118 | |
|
|
119 | 119 | Excepciones: |
|
|
120 | 120 | Si el archivo no existe o no puede ser abierto |
|
|
121 | 121 | Si la cabecera no puede ser leida. |
|
|
122 | 122 | |
|
|
123 | 123 | """ |
|
|
124 | 124 | |
|
|
125 | 125 | |
|
|
126 | 126 | try: |
|
|
127 | 127 | fp = open(filename,'rb') |
|
|
128 | 128 | except IOError: |
|
|
129 | 129 | print "The file %s can't be opened" %(filename) |
|
|
130 | 130 | return None |
|
|
131 | 131 | |
|
|
132 | 132 | firstBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
133 | 133 | systemHeaderObj = SystemHeader() |
|
|
134 | 134 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
135 | 135 | processingHeaderObj = ProcessingHeader() |
|
|
136 | 136 | |
|
|
137 | 137 | lastBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
138 | 138 | |
|
|
139 | 139 | sts = firstBasicHeaderObj.read(fp) |
|
|
140 | 140 | |
|
|
141 | 141 | if not(sts): |
|
|
142 | 142 | print "[Reading] Skipping the file %s because it has not a valid header" %(filename) |
|
|
143 | 143 | return None |
|
|
144 | 144 | |
|
|
145 | 145 | if not systemHeaderObj.read(fp): |
|
|
146 | 146 | return None |
|
|
147 | 147 | |
|
|
148 | 148 | if not radarControllerHeaderObj.read(fp): |
|
|
149 | 149 | return None |
|
|
150 | 150 | |
|
|
151 | 151 | if not processingHeaderObj.read(fp): |
|
|
152 | 152 | return None |
|
|
153 | 153 | |
|
|
154 | 154 | filesize = os.path.getsize(filename) |
|
|
155 | 155 | |
|
|
156 | 156 | offset = processingHeaderObj.blockSize + 24 #header size |
|
|
157 | 157 | |
|
|
158 | 158 | if filesize <= offset: |
|
|
159 | 159 | print "[Reading] %s: This file has not enough data" %filename |
|
|
160 | 160 | return None |
|
|
161 | 161 | |
|
|
162 | 162 | fp.seek(-offset, 2) |
|
|
163 | 163 | |
|
|
164 | 164 | sts = lastBasicHeaderObj.read(fp) |
|
|
165 | 165 | |
|
|
166 | 166 | fp.close() |
|
|
167 | 167 | |
|
|
168 | 168 | thisDatetime = lastBasicHeaderObj.datatime |
|
|
169 | 169 | thisTime_last_block = thisDatetime.time() |
|
|
170 | 170 | |
|
|
171 | 171 | thisDatetime = firstBasicHeaderObj.datatime |
|
|
172 | 172 | thisDate = thisDatetime.date() |
|
|
173 | 173 | thisTime_first_block = thisDatetime.time() |
|
|
174 | 174 | |
|
|
175 | 175 | #General case |
|
|
176 | 176 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
|
|
177 | 177 | #-----------o----------------------------o----------- |
|
|
178 | 178 | # startTime endTime |
|
|
179 | 179 | |
|
|
180 | 180 | if endTime >= startTime: |
|
|
181 | 181 | if (thisTime_last_block < startTime) or (thisTime_first_block > endTime): |
|
|
182 | 182 | return None |
|
|
183 | 183 | |
|
|
184 | 184 | return thisDatetime |
|
|
185 | 185 | |
|
|
186 | 186 | #If endTime < startTime then endTime belongs to the next day |
|
|
187 | 187 | |
|
|
188 | 188 | |
|
|
189 | 189 | #<<<<<<<<<<<o o>>>>>>>>>>> |
|
|
190 | 190 | #-----------o----------------------------o----------- |
|
|
191 | 191 | # endTime startTime |
|
|
192 | 192 | |
|
|
193 | 193 | if (thisDate == startDate) and (thisTime_last_block < startTime): |
|
|
194 | 194 | return None |
|
|
195 | 195 | |
|
|
196 | 196 | if (thisDate == endDate) and (thisTime_first_block > endTime): |
|
|
197 | 197 | return None |
|
|
198 | 198 | |
|
|
199 | 199 | if (thisTime_last_block < startTime) and (thisTime_first_block > endTime): |
|
|
200 | 200 | return None |
|
|
201 | 201 | |
|
|
202 | 202 | return thisDatetime |
|
|
203 | 203 | |
|
|
204 | 204 | def isFolderInDateRange(folder, startDate=None, endDate=None): |
|
|
205 | 205 | """ |
|
|
206 | 206 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
207 | 207 | |
|
|
208 | 208 | Inputs: |
|
|
209 | 209 | folder : nombre completo del directorio. |
|
|
210 | 210 | Su formato deberia ser "/path_root/?YYYYDDD" |
|
|
211 | 211 | |
|
|
212 | 212 | siendo: |
|
|
213 | 213 | YYYY : Anio (ejemplo 2015) |
|
|
214 | 214 | DDD : Dia del anio (ejemplo 305) |
|
|
215 | 215 | |
|
|
216 | 216 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
217 | 217 | |
|
|
218 | 218 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
219 | 219 | |
|
|
220 | 220 | Return: |
|
|
221 | 221 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
222 | 222 | fecha especificado, de lo contrario retorna False. |
|
|
223 | 223 | Excepciones: |
|
|
224 | 224 | Si el directorio no tiene el formato adecuado |
|
|
225 | 225 | """ |
|
|
226 | 226 | |
|
|
227 | 227 | basename = os.path.basename(folder) |
|
|
228 | 228 | |
|
|
229 | 229 | if not isRadarFolder(basename): |
|
|
230 | 230 | print "The folder %s has not the rigth format" %folder |
|
|
231 | 231 | return 0 |
|
|
232 | 232 | |
|
|
233 | 233 | if startDate and endDate: |
|
|
234 | 234 | thisDate = getDateFromRadarFolder(basename) |
|
|
235 | 235 | |
|
|
236 | 236 | if thisDate < startDate: |
|
|
237 | 237 | return 0 |
|
|
238 | 238 | |
|
|
239 | 239 | if thisDate > endDate: |
|
|
240 | 240 | return 0 |
|
|
241 | 241 | |
|
|
242 | 242 | return 1 |
|
|
243 | 243 | |
|
|
244 | 244 | def isFileInDateRange(filename, startDate=None, endDate=None): |
|
|
245 | 245 | """ |
|
|
246 | 246 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
247 | 247 | |
|
|
248 | 248 | Inputs: |
|
|
249 | 249 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
250 | 250 | |
|
|
251 | 251 | Su formato deberia ser "?YYYYDDDsss" |
|
|
252 | 252 | |
|
|
253 | 253 | siendo: |
|
|
254 | 254 | YYYY : Anio (ejemplo 2015) |
|
|
255 | 255 | DDD : Dia del anio (ejemplo 305) |
|
|
256 | 256 | sss : set |
|
|
257 | 257 | |
|
|
258 | 258 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
259 | 259 | |
|
|
260 | 260 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
261 | 261 | |
|
|
262 | 262 | Return: |
|
|
263 | 263 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
264 | 264 | fecha especificado, de lo contrario retorna False. |
|
|
265 | 265 | Excepciones: |
|
|
266 | 266 | Si el archivo no tiene el formato adecuado |
|
|
267 | 267 | """ |
|
|
268 | 268 | |
|
|
269 | 269 | basename = os.path.basename(filename) |
|
|
270 | 270 | |
|
|
271 | 271 | if not isRadarFile(basename): |
|
|
272 | 272 | print "The filename %s has not the rigth format" %filename |
|
|
273 | 273 | return 0 |
|
|
274 | 274 | |
|
|
275 | 275 | if startDate and endDate: |
|
|
276 | 276 | thisDate = getDateFromRadarFile(basename) |
|
|
277 | 277 | |
|
|
278 | 278 | if thisDate < startDate: |
|
|
279 | 279 | return 0 |
|
|
280 | 280 | |
|
|
281 | 281 | if thisDate > endDate: |
|
|
282 | 282 | return 0 |
|
|
283 | 283 | |
|
|
284 | 284 | return 1 |
|
|
285 | 285 | |
|
|
286 | 286 | def getFileFromSet(path, ext, set): |
|
|
287 | 287 | validFilelist = [] |
|
|
288 | 288 | fileList = os.listdir(path) |
|
|
289 | 289 | |
|
|
290 | 290 | # 0 1234 567 89A BCDE |
|
|
291 | 291 | # H YYYY DDD SSS .ext |
|
|
292 | 292 | |
|
|
293 | 293 | for thisFile in fileList: |
|
|
294 | 294 | try: |
|
|
295 | 295 | year = int(thisFile[1:5]) |
|
|
296 | 296 | doy = int(thisFile[5:8]) |
|
|
297 | 297 | except: |
|
|
298 | 298 | continue |
|
|
299 | 299 | |
|
|
300 | 300 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
301 | 301 | continue |
|
|
302 | 302 | |
|
|
303 | 303 | validFilelist.append(thisFile) |
|
|
304 | 304 | |
|
|
305 | 305 | myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set)) |
|
|
306 | 306 | |
|
|
307 | 307 | if len(myfile)!= 0: |
|
|
308 | 308 | return myfile[0] |
|
|
309 | 309 | else: |
|
|
310 | 310 | filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower()) |
|
|
311 | 311 | print 'the filename %s does not exist'%filename |
|
|
312 | 312 | print '...going to the last file: ' |
|
|
313 | 313 | |
|
|
314 | 314 | if validFilelist: |
|
|
315 | 315 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
316 | 316 | return validFilelist[-1] |
|
|
317 | 317 | |
|
|
318 | 318 | return None |
|
|
319 | 319 | |
|
|
320 | 320 | def getlastFileFromPath(path, ext): |
|
|
321 | 321 | """ |
|
|
322 | 322 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|
323 | 323 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|
324 | 324 | |
|
|
325 | 325 | Input: |
|
|
326 | 326 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|
327 | 327 | ext : extension de los files contenidos en una carpeta |
|
|
328 | 328 | |
|
|
329 | 329 | Return: |
|
|
330 | 330 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
331 | 331 | """ |
|
|
332 | 332 | validFilelist = [] |
|
|
333 | 333 | fileList = os.listdir(path) |
|
|
334 | 334 | |
|
|
335 | 335 | # 0 1234 567 89A BCDE |
|
|
336 | 336 | # H YYYY DDD SSS .ext |
|
|
337 | 337 | |
|
|
338 | 338 | for thisFile in fileList: |
|
|
339 | 339 | |
|
|
340 | 340 | year = thisFile[1:5] |
|
|
341 | 341 | if not isNumber(year): |
|
|
342 | 342 | continue |
|
|
343 | 343 | |
|
|
344 | 344 | doy = thisFile[5:8] |
|
|
345 | 345 | if not isNumber(doy): |
|
|
346 | 346 | continue |
|
|
347 | 347 | |
|
|
348 | 348 | year = int(year) |
|
|
349 | 349 | doy = int(doy) |
|
|
350 | 350 | |
|
|
351 | 351 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
352 | 352 | continue |
|
|
353 | 353 | |
|
|
354 | 354 | validFilelist.append(thisFile) |
|
|
355 | 355 | |
|
|
356 | 356 | if validFilelist: |
|
|
357 | 357 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
358 | 358 | return validFilelist[-1] |
|
|
359 | 359 | |
|
|
360 | 360 | return None |
|
|
361 | 361 | |
|
|
362 | 362 | def checkForRealPath(path, foldercounter, year, doy, set, ext): |
|
|
363 | 363 | """ |
|
|
364 | 364 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
|
|
365 | 365 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
|
|
366 | 366 | el path exacto de un determinado file. |
|
|
367 | 367 | |
|
|
368 | 368 | Example : |
|
|
369 | 369 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
370 | 370 | |
|
|
371 | 371 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
372 | 372 | .../.../y2009307367.ext |
|
|
373 | 373 | .../.../Y2009307367.ext |
|
|
374 | 374 | .../.../x2009307/y2009307367.ext |
|
|
375 | 375 | .../.../x2009307/Y2009307367.ext |
|
|
376 | 376 | .../.../X2009307/y2009307367.ext |
|
|
377 | 377 | .../.../X2009307/Y2009307367.ext |
|
|
378 | 378 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
379 | 379 | |
|
|
380 | 380 | Return: |
|
|
381 | 381 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
|
|
382 | 382 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
|
|
383 | 383 | para el filename |
|
|
384 | 384 | """ |
|
|
385 | 385 | fullfilename = None |
|
|
386 | 386 | find_flag = False |
|
|
387 | 387 | filename = None |
|
|
388 | 388 | |
|
|
389 | 389 | prefixDirList = [None,'d','D'] |
|
|
390 | 390 | if ext.lower() == ".r": #voltage |
|
|
391 | 391 | prefixFileList = ['d','D'] |
|
|
392 | 392 | elif ext.lower() == ".pdata": #spectra |
|
|
393 | 393 | prefixFileList = ['p','P'] |
|
|
394 | 394 | else: |
|
|
395 | 395 | return None, filename |
|
|
396 | 396 | |
|
|
397 | 397 | #barrido por las combinaciones posibles |
|
|
398 | 398 | for prefixDir in prefixDirList: |
|
|
399 | 399 | thispath = path |
|
|
400 | 400 | if prefixDir != None: |
|
|
401 | 401 | #formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
402 | 402 | if foldercounter == 0: |
|
|
403 | 403 | thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy )) |
|
|
404 | 404 | else: |
|
|
405 | 405 | thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter)) |
|
|
406 | 406 | for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D" |
|
|
407 | 407 | filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext |
|
|
408 | 408 | fullfilename = os.path.join( thispath, filename ) #formo el path completo |
|
|
409 | 409 | |
|
|
410 | 410 | if os.path.exists( fullfilename ): #verifico que exista |
|
|
411 | 411 | find_flag = True |
|
|
412 | 412 | break |
|
|
413 | 413 | if find_flag: |
|
|
414 | 414 | break |
|
|
415 | 415 | |
|
|
416 | 416 | if not(find_flag): |
|
|
417 | 417 | return None, filename |
|
|
418 | 418 | |
|
|
419 | 419 | return fullfilename, filename |
|
|
420 | 420 | |
|
|
421 | 421 | def isRadarFolder(folder): |
|
|
422 | 422 | try: |
|
|
423 | 423 | year = int(folder[1:5]) |
|
|
424 | 424 | doy = int(folder[5:8]) |
|
|
425 | 425 | except: |
|
|
426 | 426 | return 0 |
|
|
427 | 427 | |
|
|
428 | 428 | return 1 |
|
|
429 | 429 | |
|
|
430 | 430 | def isRadarFile(file): |
|
|
431 | 431 | try: |
|
|
432 | 432 | year = int(file[1:5]) |
|
|
433 | 433 | doy = int(file[5:8]) |
|
|
434 | 434 | set = int(file[8:11]) |
|
|
435 | 435 | except: |
|
|
436 | 436 | return 0 |
|
|
437 | 437 | |
|
|
438 | 438 | return 1 |
|
|
439 | 439 | |
|
|
440 | 440 | def getDateFromRadarFile(file): |
|
|
441 | 441 | try: |
|
|
442 | 442 | year = int(file[1:5]) |
|
|
443 | 443 | doy = int(file[5:8]) |
|
|
444 | 444 | set = int(file[8:11]) |
|
|
445 | 445 | except: |
|
|
446 | 446 | return None |
|
|
447 | 447 | |
|
|
448 | 448 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) |
|
|
449 | 449 | return thisDate |
|
|
450 | 450 | |
|
|
451 | 451 | def getDateFromRadarFolder(folder): |
|
|
452 | 452 | try: |
|
|
453 | 453 | year = int(folder[1:5]) |
|
|
454 | 454 | doy = int(folder[5:8]) |
|
|
455 | 455 | except: |
|
|
456 | 456 | return None |
|
|
457 | 457 | |
|
|
458 | 458 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) |
|
|
459 | 459 | return thisDate |
|
|
460 | 460 | |
|
|
461 | 461 | class JRODataIO: |
|
|
462 | 462 | |
|
|
463 | 463 | c = 3E8 |
|
|
464 | 464 | |
|
|
465 | 465 | isConfig = False |
|
|
466 | 466 | |
|
|
467 | 467 | basicHeaderObj = None |
|
|
468 | 468 | |
|
|
469 | 469 | systemHeaderObj = None |
|
|
470 | 470 | |
|
|
471 | 471 | radarControllerHeaderObj = None |
|
|
472 | 472 | |
|
|
473 | 473 | processingHeaderObj = None |
|
|
474 | 474 | |
|
|
475 | 475 | dtype = None |
|
|
476 | 476 | |
|
|
477 | 477 | pathList = [] |
|
|
478 | 478 | |
|
|
479 | 479 | filenameList = [] |
|
|
480 | 480 | |
|
|
481 | 481 | filename = None |
|
|
482 | 482 | |
|
|
483 | 483 | ext = None |
|
|
484 | 484 | |
|
|
485 | 485 | flagIsNewFile = 1 |
|
|
486 | 486 | |
|
|
487 | 487 | flagDiscontinuousBlock = 0 |
|
|
488 | 488 | |
|
|
489 | 489 | flagIsNewBlock = 0 |
|
|
490 | 490 | |
|
|
491 | 491 | fp = None |
|
|
492 | 492 | |
|
|
493 | 493 | firstHeaderSize = 0 |
|
|
494 | 494 | |
|
|
495 | 495 | basicHeaderSize = 24 |
|
|
496 | 496 | |
|
|
497 | 497 | versionFile = 1103 |
|
|
498 | 498 | |
|
|
499 | 499 | fileSize = None |
|
|
500 | 500 | |
|
|
501 | 501 | # ippSeconds = None |
|
|
502 | 502 | |
|
|
503 | 503 | fileSizeByHeader = None |
|
|
504 | 504 | |
|
|
505 | 505 | fileIndex = None |
|
|
506 | 506 | |
|
|
507 | 507 | profileIndex = None |
|
|
508 | 508 | |
|
|
509 | 509 | blockIndex = None |
|
|
510 | 510 | |
|
|
511 | 511 | nTotalBlocks = None |
|
|
512 | 512 | |
|
|
513 | 513 | maxTimeStep = 30 |
|
|
514 | 514 | |
|
|
515 | 515 | lastUTTime = None |
|
|
516 | 516 | |
|
|
517 | 517 | datablock = None |
|
|
518 | 518 | |
|
|
519 | 519 | dataOut = None |
|
|
520 | 520 | |
|
|
521 | 521 | blocksize = None |
|
|
522 | 522 | |
|
|
523 | 523 | getByBlock = False |
|
|
524 | 524 | |
|
|
525 | 525 | def __init__(self): |
|
|
526 | 526 | |
|
|
527 | 527 | raise NotImplementedError |
|
|
528 | 528 | |
|
|
529 | 529 | def run(self): |
|
|
530 | 530 | |
|
|
531 | 531 | raise NotImplementedError |
|
|
532 | 532 | |
|
|
533 | 533 | def getDtypeWidth(self): |
|
|
534 | 534 | |
|
|
535 | 535 | dtype_index = get_dtype_index(self.dtype) |
|
|
536 | 536 | dtype_width = get_dtype_width(dtype_index) |
|
|
537 | 537 | |
|
|
538 | 538 | return dtype_width |
|
|
539 | 539 | |
|
|
540 | 540 | def getAllowedArgs(self): |
|
|
541 | 541 | return inspect.getargspec(self.run).args |
|
|
542 | 542 | |
|
|
543 | 543 | class JRODataReader(JRODataIO): |
|
|
544 | 544 | |
|
|
545 | 545 | |
|
|
546 | 546 | online = 0 |
|
|
547 | 547 | |
|
|
548 | 548 | realtime = 0 |
|
|
549 | 549 | |
|
|
550 | 550 | nReadBlocks = 0 |
|
|
551 | 551 | |
|
|
552 | 552 | delay = 10 #number of seconds waiting a new file |
|
|
553 | 553 | |
|
|
554 | 554 | nTries = 3 #quantity tries |
|
|
555 | 555 | |
|
|
556 | 556 | nFiles = 3 #number of files for searching |
|
|
557 | 557 | |
|
|
558 | 558 | path = None |
|
|
559 | 559 | |
|
|
560 | 560 | foldercounter = 0 |
|
|
561 | 561 | |
|
|
562 | 562 | flagNoMoreFiles = 0 |
|
|
563 | 563 | |
|
|
564 | 564 | datetimeList = [] |
|
|
565 | 565 | |
|
|
566 | 566 | __isFirstTimeOnline = 1 |
|
|
567 | 567 | |
|
|
568 | 568 | __printInfo = True |
|
|
569 | 569 | |
|
|
570 | 570 | profileIndex = None |
|
|
571 | 571 | |
|
|
572 | 572 | nTxs = 1 |
|
|
573 | 573 | |
|
|
574 | 574 | txIndex = None |
|
|
575 | 575 | |
|
|
576 | 576 | #Added-------------------- |
|
|
577 | 577 | |
|
|
578 | 578 | selBlocksize = None |
|
|
579 | 579 | |
|
|
580 | 580 | selBlocktime = None |
|
|
581 | 581 | |
|
|
582 | 582 | |
|
|
583 | 583 | def __init__(self): |
|
|
584 | 584 | |
|
|
585 | 585 | """ |
|
|
586 | 586 | This class is used to find data files |
|
|
587 | 587 | |
|
|
588 | 588 | Example: |
|
|
589 | 589 | reader = JRODataReader() |
|
|
590 | 590 | fileList = reader.findDataFiles() |
|
|
591 | 591 | |
|
|
592 | 592 | """ |
|
|
593 | 593 | pass |
|
|
594 | 594 | |
|
|
595 | 595 | |
|
|
596 | 596 | def createObjByDefault(self): |
|
|
597 | 597 | """ |
|
|
598 | 598 | |
|
|
599 | 599 | """ |
|
|
600 | 600 | raise NotImplementedError |
|
|
601 | 601 | |
|
|
602 | 602 | def getBlockDimension(self): |
|
|
603 | 603 | |
|
|
604 | 604 | raise NotImplementedError |
|
|
605 | 605 | |
|
|
606 | 606 | def __searchFilesOffLine(self, |
|
|
607 | 607 | path, |
|
|
608 | 608 | startDate=None, |
|
|
609 | 609 | endDate=None, |
|
|
610 | 610 | startTime=datetime.time(0,0,0), |
|
|
611 | 611 | endTime=datetime.time(23,59,59), |
|
|
612 | 612 | set=None, |
|
|
613 | 613 | expLabel='', |
|
|
614 | 614 | ext='.r', |
|
|
615 | 615 | queue=None, |
|
|
616 | 616 | cursor=None, |
|
|
617 | 617 | skip=None, |
|
|
618 | 618 | walk=True): |
|
|
619 | 619 | |
|
|
620 | 620 | self.filenameList = [] |
|
|
621 | 621 | self.datetimeList = [] |
|
|
622 | 622 | |
|
|
623 | 623 | pathList = [] |
|
|
624 | 624 | |
|
|
625 | 625 | dateList, pathList = self.findDatafiles(path, startDate, endDate, expLabel, ext, walk, include_path=True) |
|
|
626 | 626 | |
|
|
627 | 627 | if dateList == []: |
|
|
628 | 628 | # print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path) |
|
|
629 | 629 | return None, None |
|
|
630 | 630 | |
|
|
631 | 631 | if len(dateList) > 1: |
|
|
632 | 632 | print "[Reading] Data found for date range [%s - %s]: total days = %d" %(startDate, endDate, len(dateList)) |
|
|
633 | 633 | else: |
|
|
634 | 634 | print "[Reading] Data found for date range [%s - %s]: date = %s" %(startDate, endDate, dateList[0]) |
|
|
635 | 635 | |
|
|
636 | 636 | filenameList = [] |
|
|
637 | 637 | datetimeList = [] |
|
|
638 | 638 | |
|
|
639 | 639 | for thisPath in pathList: |
|
|
640 | 640 | # thisPath = pathList[pathDict[file]] |
|
|
641 | 641 | |
|
|
642 | 642 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
643 | 643 | fileList.sort() |
|
|
644 | 644 | |
|
|
645 | 645 | skippedFileList = [] |
|
|
646 | 646 | |
|
|
647 | 647 | if cursor is not None and skip is not None: |
|
|
648 | 648 | # if cursor*skip > len(fileList): |
|
|
649 | 649 | if skip == 0: |
|
|
650 | 650 | if queue is not None: |
|
|
651 | 651 | queue.put(len(fileList)) |
|
|
652 | 652 | skippedFileList = [] |
|
|
653 | 653 | else: |
|
|
654 | 654 | skippedFileList = fileList[cursor*skip: cursor*skip + skip] |
|
|
655 | 655 | |
|
|
656 | 656 | else: |
|
|
657 | 657 | skippedFileList = fileList |
|
|
658 | 658 | |
|
|
659 | 659 | for file in skippedFileList: |
|
|
660 | 660 | |
|
|
661 | 661 | filename = os.path.join(thisPath,file) |
|
|
662 | 662 | |
|
|
663 | 663 | if not isFileInDateRange(filename, startDate, endDate): |
|
|
664 | 664 | continue |
|
|
665 | 665 | |
|
|
666 | 666 | thisDatetime = isFileInTimeRange(filename, startDate, endDate, startTime, endTime) |
|
|
667 | 667 | |
|
|
668 | 668 | if not(thisDatetime): |
|
|
669 | 669 | continue |
|
|
670 | 670 | |
|
|
671 | 671 | filenameList.append(filename) |
|
|
672 | 672 | datetimeList.append(thisDatetime) |
|
|
673 | 673 | |
|
|
674 | 674 | if not(filenameList): |
|
|
675 | 675 | print "[Reading] Time range selected invalid [%s - %s]: No *%s files in %s)" %(startTime, endTime, ext, path) |
|
|
676 | 676 | return None, None |
|
|
677 | 677 | |
|
|
678 | 678 | print "[Reading] %d file(s) was(were) found in time range: %s - %s" %(len(filenameList), startTime, endTime) |
|
|
679 | 679 | |
|
|
680 | 680 | |
|
|
681 | 681 | for i in range(len(filenameList)): |
|
|
682 | 682 | print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
|
683 | 683 | |
|
|
684 | 684 | self.filenameList = filenameList |
|
|
685 | 685 | self.datetimeList = datetimeList |
|
|
686 | 686 | |
|
|
687 | 687 | return pathList, filenameList |
|
|
688 | 688 | |
|
|
689 | 689 | def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None): |
|
|
690 | 690 | |
|
|
691 | 691 | """ |
|
|
692 | 692 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|
693 | 693 | devuelve el archivo encontrado ademas de otros datos. |
|
|
694 | 694 | |
|
|
695 | 695 | Input: |
|
|
696 | 696 | path : carpeta donde estan contenidos los files que contiene data |
|
|
697 | 697 | |
|
|
698 | 698 | expLabel : Nombre del subexperimento (subfolder) |
|
|
699 | 699 | |
|
|
700 | 700 | ext : extension de los files |
|
|
701 | 701 | |
|
|
702 | 702 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
703 | 703 | |
|
|
704 | 704 | Return: |
|
|
705 | 705 | directory : eL directorio donde esta el file encontrado |
|
|
706 | 706 | filename : el ultimo file de una determinada carpeta |
|
|
707 | 707 | year : el anho |
|
|
708 | 708 | doy : el numero de dia del anho |
|
|
709 | 709 | set : el set del archivo |
|
|
710 | 710 | |
|
|
711 | 711 | |
|
|
712 | 712 | """ |
|
|
713 | 713 | if not os.path.isdir(path): |
|
|
714 | 714 | return None, None, None, None, None, None |
|
|
715 | 715 | |
|
|
716 | 716 | dirList = [] |
|
|
717 | 717 | |
|
|
718 | 718 | if not walk: |
|
|
719 | 719 | fullpath = path |
|
|
720 | 720 | foldercounter = 0 |
|
|
721 | 721 | else: |
|
|
722 | 722 | #Filtra solo los directorios |
|
|
723 | 723 | for thisPath in os.listdir(path): |
|
|
724 | 724 | if not os.path.isdir(os.path.join(path,thisPath)): |
|
|
725 | 725 | continue |
|
|
726 | 726 | if not isRadarFolder(thisPath): |
|
|
727 | 727 | continue |
|
|
728 | 728 | |
|
|
729 | 729 | dirList.append(thisPath) |
|
|
730 | 730 | |
|
|
731 | 731 | if not(dirList): |
|
|
732 | 732 | return None, None, None, None, None, None |
|
|
733 | 733 | |
|
|
734 | 734 | dirList = sorted( dirList, key=str.lower ) |
|
|
735 | 735 | |
|
|
736 | 736 | doypath = dirList[-1] |
|
|
737 | 737 | foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0 |
|
|
738 | 738 | fullpath = os.path.join(path, doypath, expLabel) |
|
|
739 | 739 | |
|
|
740 | 740 | |
|
|
741 | 741 | print "[Reading] %s folder was found: " %(fullpath ) |
|
|
742 | 742 | |
|
|
743 | 743 | if set == None: |
|
|
744 | 744 | filename = getlastFileFromPath(fullpath, ext) |
|
|
745 | 745 | else: |
|
|
746 | 746 | filename = getFileFromSet(fullpath, ext, set) |
|
|
747 | 747 | |
|
|
748 | 748 | if not(filename): |
|
|
749 | 749 | return None, None, None, None, None, None |
|
|
750 | 750 | |
|
|
751 | 751 | print "[Reading] %s file was found" %(filename) |
|
|
752 | 752 | |
|
|
753 | 753 | if not(self.__verifyFile(os.path.join(fullpath, filename))): |
|
|
754 | 754 | return None, None, None, None, None, None |
|
|
755 | 755 | |
|
|
756 | 756 | year = int( filename[1:5] ) |
|
|
757 | 757 | doy = int( filename[5:8] ) |
|
|
758 | 758 | set = int( filename[8:11] ) |
|
|
759 | 759 | |
|
|
760 | 760 | return fullpath, foldercounter, filename, year, doy, set |
|
|
761 | 761 | |
|
|
762 | 762 | def __setNextFileOffline(self): |
|
|
763 | 763 | |
|
|
764 | 764 | idFile = self.fileIndex |
|
|
765 | 765 | |
|
|
766 | 766 | while (True): |
|
|
767 | 767 | idFile += 1 |
|
|
768 | 768 | if not(idFile < len(self.filenameList)): |
|
|
769 | 769 | self.flagNoMoreFiles = 1 |
|
|
770 | 770 | # print "[Reading] No more Files" |
|
|
771 | 771 | return 0 |
|
|
772 | 772 | |
|
|
773 | 773 | filename = self.filenameList[idFile] |
|
|
774 | 774 | |
|
|
775 | 775 | if not(self.__verifyFile(filename)): |
|
|
776 | 776 | continue |
|
|
777 | 777 | |
|
|
778 | 778 | fileSize = os.path.getsize(filename) |
|
|
779 | 779 | fp = open(filename,'rb') |
|
|
780 | 780 | break |
|
|
781 | 781 | |
|
|
782 | 782 | self.flagIsNewFile = 1 |
|
|
783 | 783 | self.fileIndex = idFile |
|
|
784 | 784 | self.filename = filename |
|
|
785 | 785 | self.fileSize = fileSize |
|
|
786 | 786 | self.fp = fp |
|
|
787 | 787 | |
|
|
788 | 788 | # print "[Reading] Setting the file: %s"%self.filename |
|
|
789 | 789 | |
|
|
790 | 790 | return 1 |
|
|
791 | 791 | |
|
|
792 | 792 | def __setNextFileOnline(self): |
|
|
793 | 793 | """ |
|
|
794 | 794 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|
795 | 795 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|
796 | 796 | siguientes. |
|
|
797 | 797 | |
|
|
798 | 798 | Affected: |
|
|
799 | 799 | self.flagIsNewFile |
|
|
800 | 800 | self.filename |
|
|
801 | 801 | self.fileSize |
|
|
802 | 802 | self.fp |
|
|
803 | 803 | self.set |
|
|
804 | 804 | self.flagNoMoreFiles |
|
|
805 | 805 | |
|
|
806 | 806 | Return: |
|
|
807 | 807 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|
808 | 808 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|
809 | 809 | |
|
|
810 | 810 | Excepciones: |
|
|
811 | 811 | Si un determinado file no puede ser abierto |
|
|
812 | 812 | """ |
|
|
813 | 813 | nFiles = 0 |
|
|
814 | 814 | fileOk_flag = False |
|
|
815 | 815 | firstTime_flag = True |
|
|
816 | 816 | |
|
|
817 | 817 | self.set += 1 |
|
|
818 | 818 | |
|
|
819 | 819 | if self.set > 999: |
|
|
820 | 820 | self.set = 0 |
|
|
821 | 821 | self.foldercounter += 1 |
|
|
822 | 822 | |
|
|
823 | 823 | #busca el 1er file disponible |
|
|
824 | 824 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
825 | 825 | if fullfilename: |
|
|
826 | 826 | if self.__verifyFile(fullfilename, False): |
|
|
827 | 827 | fileOk_flag = True |
|
|
828 | 828 | |
|
|
829 | 829 | #si no encuentra un file entonces espera y vuelve a buscar |
|
|
830 | 830 | if not(fileOk_flag): |
|
|
831 | 831 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles |
|
|
832 | 832 | |
|
|
833 | 833 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces |
|
|
834 | 834 | tries = self.nTries |
|
|
835 | 835 | else: |
|
|
836 | 836 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez |
|
|
837 | 837 | |
|
|
838 | 838 | for nTries in range( tries ): |
|
|
839 | 839 | if firstTime_flag: |
|
|
840 | 840 | print "\t[Reading] Waiting %0.2f sec for the next file: \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) |
|
|
841 | 841 | sleep( self.delay ) |
|
|
842 | 842 | else: |
|
|
843 | 843 | print "\t[Reading] Searching the next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
|
844 | 844 | |
|
|
845 | 845 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
846 | 846 | if fullfilename: |
|
|
847 | 847 | if self.__verifyFile(fullfilename): |
|
|
848 | 848 | fileOk_flag = True |
|
|
849 | 849 | break |
|
|
850 | 850 | |
|
|
851 | 851 | if fileOk_flag: |
|
|
852 | 852 | break |
|
|
853 | 853 | |
|
|
854 | 854 | firstTime_flag = False |
|
|
855 | 855 | |
|
|
856 | 856 | print "\t[Reading] Skipping the file \"%s\" due to this file doesn't exist" % filename |
|
|
857 | 857 | self.set += 1 |
|
|
858 | 858 | |
|
|
859 | 859 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|
860 | 860 | self.set = 0 |
|
|
861 | 861 | self.doy += 1 |
|
|
862 | 862 | self.foldercounter = 0 |
|
|
863 | 863 | |
|
|
864 | 864 | if fileOk_flag: |
|
|
865 | 865 | self.fileSize = os.path.getsize( fullfilename ) |
|
|
866 | 866 | self.filename = fullfilename |
|
|
867 | 867 | self.flagIsNewFile = 1 |
|
|
868 | 868 | if self.fp != None: self.fp.close() |
|
|
869 | 869 | self.fp = open(fullfilename, 'rb') |
|
|
870 | 870 | self.flagNoMoreFiles = 0 |
|
|
871 | 871 | # print '[Reading] Setting the file: %s' % fullfilename |
|
|
872 | 872 | else: |
|
|
873 | 873 | self.fileSize = 0 |
|
|
874 | 874 | self.filename = None |
|
|
875 | 875 | self.flagIsNewFile = 0 |
|
|
876 | 876 | self.fp = None |
|
|
877 | 877 | self.flagNoMoreFiles = 1 |
|
|
878 | 878 | # print '[Reading] No more files to read' |
|
|
879 | 879 | |
|
|
880 | 880 | return fileOk_flag |
|
|
881 | 881 | |
|
|
882 | 882 | def setNextFile(self): |
|
|
883 | 883 | if self.fp != None: |
|
|
884 | 884 | self.fp.close() |
|
|
885 | 885 | |
|
|
886 | 886 | if self.online: |
|
|
887 | 887 | newFile = self.__setNextFileOnline() |
|
|
888 | 888 | else: |
|
|
889 | 889 | newFile = self.__setNextFileOffline() |
|
|
890 | 890 | |
|
|
891 | 891 | if not(newFile): |
|
|
892 | 892 | print '[Reading] No more files to read' |
|
|
893 | 893 | return 0 |
|
|
894 | 894 | |
|
|
895 | 895 | if self.verbose: |
|
|
896 | 896 | print '[Reading] Setting the file: %s' % self.filename |
|
|
897 | 897 | |
|
|
898 | 898 | self.__readFirstHeader() |
|
|
899 | 899 | self.nReadBlocks = 0 |
|
|
900 | 900 | return 1 |
|
|
901 | 901 | |
|
|
902 | 902 | def __waitNewBlock(self): |
|
|
903 | 903 | """ |
|
|
904 | 904 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
905 | 905 | |
|
|
906 | 906 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
907 | 907 | """ |
|
|
908 | 908 | if not self.online: |
|
|
909 | 909 | return 0 |
|
|
910 | 910 | |
|
|
911 | 911 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
912 | 912 | return 0 |
|
|
913 | 913 | |
|
|
914 | 914 | currentPointer = self.fp.tell() |
|
|
915 | 915 | |
|
|
916 | 916 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
917 | 917 | |
|
|
918 | 918 | for nTries in range( self.nTries ): |
|
|
919 | 919 | |
|
|
920 | 920 | self.fp.close() |
|
|
921 | 921 | self.fp = open( self.filename, 'rb' ) |
|
|
922 | 922 | self.fp.seek( currentPointer ) |
|
|
923 | 923 | |
|
|
924 | 924 | self.fileSize = os.path.getsize( self.filename ) |
|
|
925 | 925 | currentSize = self.fileSize - currentPointer |
|
|
926 | 926 | |
|
|
927 | 927 | if ( currentSize >= neededSize ): |
|
|
928 | 928 | self.basicHeaderObj.read(self.fp) |
|
|
929 | 929 | return 1 |
|
|
930 | 930 | |
|
|
931 | 931 | if self.fileSize == self.fileSizeByHeader: |
|
|
932 | 932 | # self.flagEoF = True |
|
|
933 | 933 | return 0 |
|
|
934 | 934 | |
|
|
935 | 935 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
936 | 936 | sleep( self.delay ) |
|
|
937 | 937 | |
|
|
938 | 938 | |
|
|
939 | 939 | return 0 |
|
|
940 | 940 | |
|
|
941 | 941 | def waitDataBlock(self,pointer_location): |
|
|
942 | 942 | |
|
|
943 | 943 | currentPointer = pointer_location |
|
|
944 | 944 | |
|
|
945 | 945 | neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize |
|
|
946 | 946 | |
|
|
947 | 947 | for nTries in range( self.nTries ): |
|
|
948 | 948 | self.fp.close() |
|
|
949 | 949 | self.fp = open( self.filename, 'rb' ) |
|
|
950 | 950 | self.fp.seek( currentPointer ) |
|
|
951 | 951 | |
|
|
952 | 952 | self.fileSize = os.path.getsize( self.filename ) |
|
|
953 | 953 | currentSize = self.fileSize - currentPointer |
|
|
954 | 954 | |
|
|
955 | 955 | if ( currentSize >= neededSize ): |
|
|
956 | 956 | return 1 |
|
|
957 | 957 | |
|
|
958 | 958 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
959 | 959 | sleep( self.delay ) |
|
|
960 | 960 | |
|
|
961 | 961 | return 0 |
|
|
962 | 962 | |
|
|
963 | 963 | def __jumpToLastBlock(self): |
|
|
964 | 964 | |
|
|
965 | 965 | if not(self.__isFirstTimeOnline): |
|
|
966 | 966 | return |
|
|
967 | 967 | |
|
|
968 | 968 | csize = self.fileSize - self.fp.tell() |
|
|
969 | 969 | blocksize = self.processingHeaderObj.blockSize |
|
|
970 | 970 | |
|
|
971 | 971 | #salta el primer bloque de datos |
|
|
972 | 972 | if csize > self.processingHeaderObj.blockSize: |
|
|
973 | 973 | self.fp.seek(self.fp.tell() + blocksize) |
|
|
974 | 974 | else: |
|
|
975 | 975 | return |
|
|
976 | 976 | |
|
|
977 | 977 | csize = self.fileSize - self.fp.tell() |
|
|
978 | 978 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
979 | 979 | while True: |
|
|
980 | 980 | |
|
|
981 | 981 | if self.fp.tell()<self.fileSize: |
|
|
982 | 982 | self.fp.seek(self.fp.tell() + neededsize) |
|
|
983 | 983 | else: |
|
|
984 | 984 | self.fp.seek(self.fp.tell() - neededsize) |
|
|
985 | 985 | break |
|
|
986 | 986 | |
|
|
987 | 987 | # csize = self.fileSize - self.fp.tell() |
|
|
988 | 988 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
989 | 989 | # factor = int(csize/neededsize) |
|
|
990 | 990 | # if factor > 0: |
|
|
991 | 991 | # self.fp.seek(self.fp.tell() + factor*neededsize) |
|
|
992 | 992 | |
|
|
993 | 993 | self.flagIsNewFile = 0 |
|
|
994 | 994 | self.__isFirstTimeOnline = 0 |
|
|
995 | 995 | |
|
|
996 | 996 | def __setNewBlock(self): |
|
|
997 | 997 | |
|
|
998 | 998 | if self.fp == None: |
|
|
999 | 999 | return 0 |
|
|
1000 | 1000 | |
|
|
1001 | 1001 | # if self.online: |
|
|
1002 | 1002 | # self.__jumpToLastBlock() |
|
|
1003 | 1003 | |
|
|
1004 | 1004 | if self.flagIsNewFile: |
|
|
1005 | 1005 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1006 | 1006 | return 1 |
|
|
1007 | 1007 | |
|
|
1008 | 1008 | if self.realtime: |
|
|
1009 | 1009 | self.flagDiscontinuousBlock = 1 |
|
|
1010 | 1010 | if not(self.setNextFile()): |
|
|
1011 | 1011 | return 0 |
|
|
1012 | 1012 | else: |
|
|
1013 | 1013 | return 1 |
|
|
1014 | 1014 | |
|
|
1015 | 1015 | currentSize = self.fileSize - self.fp.tell() |
|
|
1016 | 1016 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
1017 | 1017 | |
|
|
1018 | 1018 | if (currentSize >= neededSize): |
|
|
1019 | 1019 | self.basicHeaderObj.read(self.fp) |
|
|
1020 | 1020 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1021 | 1021 | return 1 |
|
|
1022 | 1022 | |
|
|
1023 | 1023 | if self.__waitNewBlock(): |
|
|
1024 | 1024 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1025 | 1025 | return 1 |
|
|
1026 | 1026 | |
|
|
1027 | 1027 | if not(self.setNextFile()): |
|
|
1028 | 1028 | return 0 |
|
|
1029 | 1029 | |
|
|
1030 | 1030 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # |
|
|
1031 | 1031 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1032 | 1032 | |
|
|
1033 | 1033 | self.flagDiscontinuousBlock = 0 |
|
|
1034 | 1034 | |
|
|
1035 | 1035 | if deltaTime > self.maxTimeStep: |
|
|
1036 | 1036 | self.flagDiscontinuousBlock = 1 |
|
|
1037 | 1037 | |
|
|
1038 | 1038 | return 1 |
|
|
1039 | 1039 | |
|
|
1040 | 1040 | def readNextBlock(self): |
|
|
1041 | 1041 | |
|
|
1042 | 1042 | #Skip block out of startTime and endTime |
|
|
1043 | 1043 | while True: |
|
|
1044 | 1044 | if not(self.__setNewBlock()): |
|
|
1045 | 1045 | return 0 |
|
|
1046 | 1046 | |
|
|
1047 | 1047 | if not(self.readBlock()): |
|
|
1048 | 1048 | return 0 |
|
|
1049 | 1049 | |
|
|
1050 | 1050 | self.getBasicHeader() |
|
|
1051 | 1051 | |
|
|
1052 | 1052 | if not isTimeInRange(self.dataOut.datatime.time(), self.startTime, self.endTime): |
|
|
1053 | 1053 | |
|
|
1054 | 1054 | print "[Reading] Block No. %d/%d -> %s [Skipping]" %(self.nReadBlocks, |
|
|
1055 | 1055 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
1056 | 1056 | self.dataOut.datatime.ctime()) |
|
|
1057 | 1057 | continue |
|
|
1058 | 1058 | |
|
|
1059 | 1059 | break |
|
|
1060 | 1060 | |
|
|
1061 | if self.verbose: | |
|
|
1062 | print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, | |
|
|
1063 | self.processingHeaderObj.dataBlocksPerFile, | |
|
|
1064 | self.dataOut.datatime.ctime()) | |
|
|
1061 | # if self.verbose: | |
|
|
1062 | # print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, | |
|
|
1063 | # self.processingHeaderObj.dataBlocksPerFile, | |
|
|
1064 | # self.dataOut.datatime.ctime()) | |
|
|
1065 | 1065 | return 1 |
|
|
1066 | 1066 | |
|
|
1067 | 1067 | def __readFirstHeader(self): |
|
|
1068 | 1068 | |
|
|
1069 | 1069 | self.basicHeaderObj.read(self.fp) |
|
|
1070 | 1070 | self.systemHeaderObj.read(self.fp) |
|
|
1071 | 1071 | self.radarControllerHeaderObj.read(self.fp) |
|
|
1072 | 1072 | self.processingHeaderObj.read(self.fp) |
|
|
1073 | 1073 | |
|
|
1074 | 1074 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
1075 | 1075 | |
|
|
1076 | 1076 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
1077 | 1077 | if datatype == 0: |
|
|
1078 | 1078 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
1079 | 1079 | elif datatype == 1: |
|
|
1080 | 1080 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
1081 | 1081 | elif datatype == 2: |
|
|
1082 | 1082 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
1083 | 1083 | elif datatype == 3: |
|
|
1084 | 1084 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
1085 | 1085 | elif datatype == 4: |
|
|
1086 | 1086 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
1087 | 1087 | elif datatype == 5: |
|
|
1088 | 1088 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
1089 | 1089 | else: |
|
|
1090 | 1090 | raise ValueError, 'Data type was not defined' |
|
|
1091 | 1091 | |
|
|
1092 | 1092 | self.dtype = datatype_str |
|
|
1093 | 1093 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
1094 | 1094 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
1095 | 1095 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
1096 | 1096 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
1097 | 1097 | self.getBlockDimension() |
|
|
1098 | 1098 | |
|
|
1099 | 1099 | def __verifyFile(self, filename, msgFlag=True): |
|
|
1100 | 1100 | |
|
|
1101 | 1101 | msg = None |
|
|
1102 | 1102 | |
|
|
1103 | 1103 | try: |
|
|
1104 | 1104 | fp = open(filename, 'rb') |
|
|
1105 | 1105 | except IOError: |
|
|
1106 | 1106 | |
|
|
1107 | 1107 | if msgFlag: |
|
|
1108 | 1108 | print "[Reading] File %s can't be opened" % (filename) |
|
|
1109 | 1109 | |
|
|
1110 | 1110 | return False |
|
|
1111 | 1111 | |
|
|
1112 | 1112 | currentPosition = fp.tell() |
|
|
1113 | 1113 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|
1114 | 1114 | |
|
|
1115 | 1115 | if neededSize == 0: |
|
|
1116 | 1116 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
1117 | 1117 | systemHeaderObj = SystemHeader() |
|
|
1118 | 1118 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
1119 | 1119 | processingHeaderObj = ProcessingHeader() |
|
|
1120 | 1120 | |
|
|
1121 | 1121 | if not( basicHeaderObj.read(fp) ): |
|
|
1122 | 1122 | fp.close() |
|
|
1123 | 1123 | return False |
|
|
1124 | 1124 | |
|
|
1125 | 1125 | if not( systemHeaderObj.read(fp) ): |
|
|
1126 | 1126 | fp.close() |
|
|
1127 | 1127 | return False |
|
|
1128 | 1128 | |
|
|
1129 | 1129 | if not( radarControllerHeaderObj.read(fp) ): |
|
|
1130 | 1130 | fp.close() |
|
|
1131 | 1131 | return False |
|
|
1132 | 1132 | |
|
|
1133 | 1133 | if not( processingHeaderObj.read(fp) ): |
|
|
1134 | 1134 | fp.close() |
|
|
1135 | 1135 | return False |
|
|
1136 | 1136 | |
|
|
1137 | 1137 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|
1138 | 1138 | else: |
|
|
1139 | 1139 | msg = "[Reading] Skipping the file %s due to it hasn't enough data" %filename |
|
|
1140 | 1140 | |
|
|
1141 | 1141 | fp.close() |
|
|
1142 | 1142 | |
|
|
1143 | 1143 | fileSize = os.path.getsize(filename) |
|
|
1144 | 1144 | currentSize = fileSize - currentPosition |
|
|
1145 | 1145 | |
|
|
1146 | 1146 | if currentSize < neededSize: |
|
|
1147 | 1147 | if msgFlag and (msg != None): |
|
|
1148 | 1148 | print msg |
|
|
1149 | 1149 | return False |
|
|
1150 | 1150 | |
|
|
1151 | 1151 | return True |
|
|
1152 | 1152 | |
|
|
1153 | 1153 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False): |
|
|
1154 | 1154 | |
|
|
1155 | 1155 | path_empty = True |
|
|
1156 | 1156 | |
|
|
1157 | 1157 | dateList = [] |
|
|
1158 | 1158 | pathList = [] |
|
|
1159 | 1159 | |
|
|
1160 | 1160 | multi_path = path.split(',') |
|
|
1161 | 1161 | |
|
|
1162 | 1162 | if not walk: |
|
|
1163 | 1163 | |
|
|
1164 | 1164 | for single_path in multi_path: |
|
|
1165 | 1165 | |
|
|
1166 | 1166 | if not os.path.isdir(single_path): |
|
|
1167 | 1167 | continue |
|
|
1168 | 1168 | |
|
|
1169 | 1169 | fileList = glob.glob1(single_path, "*"+ext) |
|
|
1170 | 1170 | |
|
|
1171 | 1171 | if not fileList: |
|
|
1172 | 1172 | continue |
|
|
1173 | 1173 | |
|
|
1174 | 1174 | path_empty = False |
|
|
1175 | 1175 | |
|
|
1176 | 1176 | fileList.sort() |
|
|
1177 | 1177 | |
|
|
1178 | 1178 | for thisFile in fileList: |
|
|
1179 | 1179 | |
|
|
1180 | 1180 | if not os.path.isfile(os.path.join(single_path, thisFile)): |
|
|
1181 | 1181 | continue |
|
|
1182 | 1182 | |
|
|
1183 | 1183 | if not isRadarFile(thisFile): |
|
|
1184 | 1184 | continue |
|
|
1185 | 1185 | |
|
|
1186 | 1186 | if not isFileInDateRange(thisFile, startDate, endDate): |
|
|
1187 | 1187 | continue |
|
|
1188 | 1188 | |
|
|
1189 | 1189 | thisDate = getDateFromRadarFile(thisFile) |
|
|
1190 | 1190 | |
|
|
1191 | 1191 | if thisDate in dateList: |
|
|
1192 | 1192 | continue |
|
|
1193 | 1193 | |
|
|
1194 | 1194 | dateList.append(thisDate) |
|
|
1195 | 1195 | pathList.append(single_path) |
|
|
1196 | 1196 | |
|
|
1197 | 1197 | else: |
|
|
1198 | 1198 | for single_path in multi_path: |
|
|
1199 | 1199 | |
|
|
1200 | 1200 | if not os.path.isdir(single_path): |
|
|
1201 | 1201 | continue |
|
|
1202 | 1202 | |
|
|
1203 | 1203 | dirList = [] |
|
|
1204 | 1204 | |
|
|
1205 | 1205 | for thisPath in os.listdir(single_path): |
|
|
1206 | 1206 | |
|
|
1207 | 1207 | if not os.path.isdir(os.path.join(single_path,thisPath)): |
|
|
1208 | 1208 | continue |
|
|
1209 | 1209 | |
|
|
1210 | 1210 | if not isRadarFolder(thisPath): |
|
|
1211 | 1211 | continue |
|
|
1212 | 1212 | |
|
|
1213 | 1213 | if not isFolderInDateRange(thisPath, startDate, endDate): |
|
|
1214 | 1214 | continue |
|
|
1215 | 1215 | |
|
|
1216 | 1216 | dirList.append(thisPath) |
|
|
1217 | 1217 | |
|
|
1218 | 1218 | if not dirList: |
|
|
1219 | 1219 | continue |
|
|
1220 | 1220 | |
|
|
1221 | 1221 | dirList.sort() |
|
|
1222 | 1222 | |
|
|
1223 | 1223 | for thisDir in dirList: |
|
|
1224 | 1224 | |
|
|
1225 | 1225 | datapath = os.path.join(single_path, thisDir, expLabel) |
|
|
1226 | 1226 | fileList = glob.glob1(datapath, "*"+ext) |
|
|
1227 | 1227 | |
|
|
1228 | 1228 | if not fileList: |
|
|
1229 | 1229 | continue |
|
|
1230 | 1230 | |
|
|
1231 | 1231 | path_empty = False |
|
|
1232 | 1232 | |
|
|
1233 | 1233 | thisDate = getDateFromRadarFolder(thisDir) |
|
|
1234 | 1234 | |
|
|
1235 | 1235 | pathList.append(datapath) |
|
|
1236 | 1236 | dateList.append(thisDate) |
|
|
1237 | 1237 | |
|
|
1238 | 1238 | dateList.sort() |
|
|
1239 | 1239 | |
|
|
1240 | 1240 | if walk: |
|
|
1241 | 1241 | pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel) |
|
|
1242 | 1242 | else: |
|
|
1243 | 1243 | pattern_path = multi_path[0] |
|
|
1244 | 1244 | |
|
|
1245 | 1245 | if path_empty: |
|
|
1246 | 1246 | print "[Reading] No *%s files in %s for %s to %s" %(ext, pattern_path, startDate, endDate) |
|
|
1247 | 1247 | else: |
|
|
1248 | 1248 | if not dateList: |
|
|
1249 | 1249 | print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path) |
|
|
1250 | 1250 | |
|
|
1251 | 1251 | if include_path: |
|
|
1252 | 1252 | return dateList, pathList |
|
|
1253 | 1253 | |
|
|
1254 | 1254 | return dateList |
|
|
1255 | 1255 | |
|
|
1256 | 1256 | def setup(self, |
|
|
1257 | 1257 | path=None, |
|
|
1258 | 1258 | startDate=None, |
|
|
1259 | 1259 | endDate=None, |
|
|
1260 | 1260 | startTime=datetime.time(0,0,0), |
|
|
1261 | 1261 | endTime=datetime.time(23,59,59), |
|
|
1262 | 1262 | set=None, |
|
|
1263 | 1263 | expLabel = "", |
|
|
1264 | 1264 | ext = None, |
|
|
1265 | 1265 | online = False, |
|
|
1266 | 1266 | delay = 60, |
|
|
1267 | 1267 | walk = True, |
|
|
1268 | 1268 | getblock = False, |
|
|
1269 | 1269 | nTxs = 1, |
|
|
1270 | 1270 | realtime=False, |
|
|
1271 | 1271 | blocksize=None, |
|
|
1272 | 1272 | blocktime=None, |
|
|
1273 | 1273 | queue=None, |
|
|
1274 | 1274 | skip=None, |
|
|
1275 | 1275 | cursor=None, |
|
|
1276 | 1276 | warnings=True, |
|
|
1277 | 1277 | verbose=True): |
|
|
1278 | 1278 | |
|
|
1279 | 1279 | if path == None: |
|
|
1280 | 1280 | raise ValueError, "[Reading] The path is not valid" |
|
|
1281 | 1281 | |
|
|
1282 | 1282 | if ext == None: |
|
|
1283 | 1283 | ext = self.ext |
|
|
1284 | 1284 | |
|
|
1285 | 1285 | if online: |
|
|
1286 | 1286 | print "[Reading] Searching files in online mode..." |
|
|
1287 | 1287 | |
|
|
1288 | 1288 | for nTries in range( self.nTries ): |
|
|
1289 | 1289 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) |
|
|
1290 | 1290 | |
|
|
1291 | 1291 | if fullpath: |
|
|
1292 | 1292 | break |
|
|
1293 | 1293 | |
|
|
1294 | 1294 | print '[Reading] Waiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
|
1295 | 1295 | sleep( self.delay ) |
|
|
1296 | 1296 | |
|
|
1297 | 1297 | if not(fullpath): |
|
|
1298 | 1298 | print "[Reading] There 'isn't any valid file in %s" % path |
|
|
1299 | 1299 | return |
|
|
1300 | 1300 | |
|
|
1301 | 1301 | self.year = year |
|
|
1302 | 1302 | self.doy = doy |
|
|
1303 | 1303 | self.set = set - 1 |
|
|
1304 | 1304 | self.path = path |
|
|
1305 | 1305 | self.foldercounter = foldercounter |
|
|
1306 | 1306 | last_set = None |
|
|
1307 | 1307 | |
|
|
1308 | 1308 | else: |
|
|
1309 | 1309 | print "[Reading] Searching files in offline mode ..." |
|
|
1310 | 1310 | pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|
1311 | 1311 | startTime=startTime, endTime=endTime, |
|
|
1312 | 1312 | set=set, expLabel=expLabel, ext=ext, |
|
|
1313 | 1313 | walk=walk, cursor=cursor, |
|
|
1314 | 1314 | skip=skip, queue=queue) |
|
|
1315 | 1315 | |
|
|
1316 | 1316 | if not(pathList): |
|
|
1317 | 1317 | # print "[Reading] No *%s files in %s (%s - %s)"%(ext, path, |
|
|
1318 | 1318 | # datetime.datetime.combine(startDate,startTime).ctime(), |
|
|
1319 | 1319 | # datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
1320 | 1320 | |
|
|
1321 | 1321 | # sys.exit(-1) |
|
|
1322 | 1322 | |
|
|
1323 | 1323 | self.fileIndex = -1 |
|
|
1324 | 1324 | self.pathList = [] |
|
|
1325 | 1325 | self.filenameList = [] |
|
|
1326 | 1326 | return |
|
|
1327 | 1327 | |
|
|
1328 | 1328 | self.fileIndex = -1 |
|
|
1329 | 1329 | self.pathList = pathList |
|
|
1330 | 1330 | self.filenameList = filenameList |
|
|
1331 | 1331 | file_name = os.path.basename(filenameList[-1]) |
|
|
1332 | 1332 | basename, ext = os.path.splitext(file_name) |
|
|
1333 | 1333 | last_set = int(basename[-3:]) |
|
|
1334 | 1334 | |
|
|
1335 | 1335 | self.online = online |
|
|
1336 | 1336 | self.realtime = realtime |
|
|
1337 | 1337 | self.delay = delay |
|
|
1338 | 1338 | ext = ext.lower() |
|
|
1339 | 1339 | self.ext = ext |
|
|
1340 | 1340 | self.getByBlock = getblock |
|
|
1341 | 1341 | self.nTxs = nTxs |
|
|
1342 | 1342 | self.startTime = startTime |
|
|
1343 | 1343 | self.endTime = endTime |
|
|
1344 | 1344 | |
|
|
1345 | 1345 | #Added----------------- |
|
|
1346 | 1346 | self.selBlocksize = blocksize |
|
|
1347 | 1347 | self.selBlocktime = blocktime |
|
|
1348 | 1348 | |
|
|
1349 | 1349 | # Verbose----------- |
|
|
1350 | 1350 | self.verbose = verbose |
|
|
1351 | 1351 | self.warnings = warnings |
|
|
1352 | 1352 | |
|
|
1353 | 1353 | if not(self.setNextFile()): |
|
|
1354 | 1354 | if (startDate!=None) and (endDate!=None): |
|
|
1355 | 1355 | print "[Reading] No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
1356 | 1356 | elif startDate != None: |
|
|
1357 | 1357 | print "[Reading] No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
|
1358 | 1358 | else: |
|
|
1359 | 1359 | print "[Reading] No files" |
|
|
1360 | 1360 | |
|
|
1361 | 1361 | self.fileIndex = -1 |
|
|
1362 | 1362 | self.pathList = [] |
|
|
1363 | 1363 | self.filenameList = [] |
|
|
1364 | 1364 | return |
|
|
1365 | 1365 | |
|
|
1366 | 1366 | # self.getBasicHeader() |
|
|
1367 | 1367 | |
|
|
1368 | 1368 | if last_set != None: |
|
|
1369 | 1369 | self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock |
|
|
1370 | 1370 | return |
|
|
1371 | 1371 | |
|
|
1372 | 1372 | def getBasicHeader(self): |
|
|
1373 | 1373 | |
|
|
1374 | 1374 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1375 | 1375 | |
|
|
1376 | 1376 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
1377 | 1377 | |
|
|
1378 | 1378 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1379 | 1379 | |
|
|
1380 | 1380 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1381 | 1381 | |
|
|
1382 | 1382 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1383 | 1383 | |
|
|
1384 | 1384 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1385 | 1385 | |
|
|
1386 | 1386 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs |
|
|
1387 | 1387 | |
|
|
1388 | 1388 | # self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
1389 | 1389 | |
|
|
1390 | 1390 | |
|
|
1391 | 1391 | def getFirstHeader(self): |
|
|
1392 | 1392 | |
|
|
1393 | 1393 | raise NotImplementedError |
|
|
1394 | 1394 | |
|
|
1395 | 1395 | def getData(self): |
|
|
1396 | 1396 | |
|
|
1397 | 1397 | raise NotImplementedError |
|
|
1398 | 1398 | |
|
|
1399 | 1399 | def hasNotDataInBuffer(self): |
|
|
1400 | 1400 | |
|
|
1401 | 1401 | raise NotImplementedError |
|
|
1402 | 1402 | |
|
|
1403 | 1403 | def readBlock(self): |
|
|
1404 | 1404 | |
|
|
1405 | 1405 | raise NotImplementedError |
|
|
1406 | 1406 | |
|
|
1407 | 1407 | def isEndProcess(self): |
|
|
1408 | 1408 | |
|
|
1409 | 1409 | return self.flagNoMoreFiles |
|
|
1410 | 1410 | |
|
|
1411 | 1411 | def printReadBlocks(self): |
|
|
1412 | 1412 | |
|
|
1413 | 1413 | print "[Reading] Number of read blocks per file %04d" %self.nReadBlocks |
|
|
1414 | 1414 | |
|
|
1415 | 1415 | def printTotalBlocks(self): |
|
|
1416 | 1416 | |
|
|
1417 | 1417 | print "[Reading] Number of read blocks %04d" %self.nTotalBlocks |
|
|
1418 | 1418 | |
|
|
1419 | 1419 | def printNumberOfBlock(self): |
|
|
1420 | 'SPAM!' | |
|
|
1420 | 1421 | |
|
|
1421 | if self.flagIsNewBlock: | |
|
|
1422 | print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, | |
|
|
1423 | self.processingHeaderObj.dataBlocksPerFile, | |
|
|
1424 | self.dataOut.datatime.ctime()) | |
|
|
1422 | # if self.flagIsNewBlock: | |
|
|
1423 | # print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, | |
|
|
1424 | # self.processingHeaderObj.dataBlocksPerFile, | |
|
|
1425 | # self.dataOut.datatime.ctime()) | |
|
|
1425 | 1426 | |
|
|
1426 | 1427 | def printInfo(self): |
|
|
1427 | 1428 | |
|
|
1428 | 1429 | if self.__printInfo == False: |
|
|
1429 | 1430 | return |
|
|
1430 | 1431 | |
|
|
1431 | 1432 | self.basicHeaderObj.printInfo() |
|
|
1432 | 1433 | self.systemHeaderObj.printInfo() |
|
|
1433 | 1434 | self.radarControllerHeaderObj.printInfo() |
|
|
1434 | 1435 | self.processingHeaderObj.printInfo() |
|
|
1435 | 1436 | |
|
|
1436 | 1437 | self.__printInfo = False |
|
|
1437 | 1438 | |
|
|
1438 | 1439 | |
|
|
1439 | 1440 | def run(self, |
|
|
1440 | 1441 | path=None, |
|
|
1441 | 1442 | startDate=None, |
|
|
1442 | 1443 | endDate=None, |
|
|
1443 | 1444 | startTime=datetime.time(0,0,0), |
|
|
1444 | 1445 | endTime=datetime.time(23,59,59), |
|
|
1445 | 1446 | set=None, |
|
|
1446 | 1447 | expLabel = "", |
|
|
1447 | 1448 | ext = None, |
|
|
1448 | 1449 | online = False, |
|
|
1449 | 1450 | delay = 60, |
|
|
1450 | 1451 | walk = True, |
|
|
1451 | 1452 | getblock = False, |
|
|
1452 | 1453 | nTxs = 1, |
|
|
1453 | 1454 | realtime=False, |
|
|
1454 | 1455 | blocksize=None, |
|
|
1455 | 1456 | blocktime=None, |
|
|
1456 | 1457 | queue=None, |
|
|
1457 | 1458 | skip=None, |
|
|
1458 | 1459 | cursor=None, |
|
|
1459 | 1460 | warnings=True, |
|
|
1460 | 1461 | verbose=True, **kwargs): |
|
|
1461 | 1462 | |
|
|
1462 | 1463 | if not(self.isConfig): |
|
|
1463 | 1464 | # self.dataOut = dataOut |
|
|
1464 | 1465 | self.setup( path=path, |
|
|
1465 | 1466 | startDate=startDate, |
|
|
1466 | 1467 | endDate=endDate, |
|
|
1467 | 1468 | startTime=startTime, |
|
|
1468 | 1469 | endTime=endTime, |
|
|
1469 | 1470 | set=set, |
|
|
1470 | 1471 | expLabel=expLabel, |
|
|
1471 | 1472 | ext=ext, |
|
|
1472 | 1473 | online=online, |
|
|
1473 | 1474 | delay=delay, |
|
|
1474 | 1475 | walk=walk, |
|
|
1475 | 1476 | getblock=getblock, |
|
|
1476 | 1477 | nTxs=nTxs, |
|
|
1477 | 1478 | realtime=realtime, |
|
|
1478 | 1479 | blocksize=blocksize, |
|
|
1479 | 1480 | blocktime=blocktime, |
|
|
1480 | 1481 | queue=queue, |
|
|
1481 | 1482 | skip=skip, |
|
|
1482 | 1483 | cursor=cursor, |
|
|
1483 | 1484 | warnings=warnings, |
|
|
1484 | 1485 | verbose=verbose) |
|
|
1485 | 1486 | self.isConfig = True |
|
|
1486 | 1487 | |
|
|
1487 | 1488 | self.getData() |
|
|
1488 | 1489 | |
|
|
1489 | 1490 | class JRODataWriter(JRODataIO): |
|
|
1490 | 1491 | |
|
|
1491 | 1492 | """ |
|
|
1492 | 1493 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1493 | 1494 | de los datos siempre se realiza por bloques. |
|
|
1494 | 1495 | """ |
|
|
1495 | 1496 | |
|
|
1496 | 1497 | blockIndex = 0 |
|
|
1497 | 1498 | |
|
|
1498 | 1499 | path = None |
|
|
1499 | 1500 | |
|
|
1500 | 1501 | setFile = None |
|
|
1501 | 1502 | |
|
|
1502 | 1503 | profilesPerBlock = None |
|
|
1503 | 1504 | |
|
|
1504 | 1505 | blocksPerFile = None |
|
|
1505 | 1506 | |
|
|
1506 | 1507 | nWriteBlocks = 0 |
|
|
1507 | 1508 | |
|
|
1508 | 1509 | fileDate = None |
|
|
1509 | 1510 | |
|
|
1510 | 1511 | def __init__(self, dataOut=None): |
|
|
1511 | 1512 | raise NotImplementedError |
|
|
1512 | 1513 | |
|
|
1513 | 1514 | |
|
|
1514 | 1515 | def hasAllDataInBuffer(self): |
|
|
1515 | 1516 | raise NotImplementedError |
|
|
1516 | 1517 | |
|
|
1517 | 1518 | |
|
|
1518 | 1519 | def setBlockDimension(self): |
|
|
1519 | 1520 | raise NotImplementedError |
|
|
1520 | 1521 | |
|
|
1521 | 1522 | |
|
|
1522 | 1523 | def writeBlock(self): |
|
|
1523 | 1524 | raise NotImplementedError |
|
|
1524 | 1525 | |
|
|
1525 | 1526 | |
|
|
1526 | 1527 | def putData(self): |
|
|
1527 | 1528 | raise NotImplementedError |
|
|
1528 | 1529 | |
|
|
1529 | 1530 | |
|
|
1530 | 1531 | def getProcessFlags(self): |
|
|
1531 | 1532 | |
|
|
1532 | 1533 | processFlags = 0 |
|
|
1533 | 1534 | |
|
|
1534 | 1535 | dtype_index = get_dtype_index(self.dtype) |
|
|
1535 | 1536 | procflag_dtype = get_procflag_dtype(dtype_index) |
|
|
1536 | 1537 | |
|
|
1537 | 1538 | processFlags += procflag_dtype |
|
|
1538 | 1539 | |
|
|
1539 | 1540 | if self.dataOut.flagDecodeData: |
|
|
1540 | 1541 | processFlags += PROCFLAG.DECODE_DATA |
|
|
1541 | 1542 | |
|
|
1542 | 1543 | if self.dataOut.flagDeflipData: |
|
|
1543 | 1544 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
1544 | 1545 | |
|
|
1545 | 1546 | if self.dataOut.code is not None: |
|
|
1546 | 1547 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
1547 | 1548 | |
|
|
1548 | 1549 | if self.dataOut.nCohInt > 1: |
|
|
1549 | 1550 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
1550 | 1551 | |
|
|
1551 | 1552 | if self.dataOut.type == "Spectra": |
|
|
1552 | 1553 | if self.dataOut.nIncohInt > 1: |
|
|
1553 | 1554 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|
1554 | 1555 | |
|
|
1555 | 1556 | if self.dataOut.data_dc is not None: |
|
|
1556 | 1557 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|
1557 | 1558 | |
|
|
1558 | 1559 | if self.dataOut.flagShiftFFT: |
|
|
1559 | 1560 | processFlags += PROCFLAG.SHIFT_FFT_DATA |
|
|
1560 | 1561 | |
|
|
1561 | 1562 | return processFlags |
|
|
1562 | 1563 | |
|
|
1563 | 1564 | def setBasicHeader(self): |
|
|
1564 | 1565 | |
|
|
1565 | 1566 | self.basicHeaderObj.size = self.basicHeaderSize #bytes |
|
|
1566 | 1567 | self.basicHeaderObj.version = self.versionFile |
|
|
1567 | 1568 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
1568 | 1569 | |
|
|
1569 | 1570 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1570 | 1571 | milisecond = (self.dataOut.utctime - utc)* 1000.0 |
|
|
1571 | 1572 | |
|
|
1572 | 1573 | self.basicHeaderObj.utc = utc |
|
|
1573 | 1574 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1574 | 1575 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1575 | 1576 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1576 | 1577 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1577 | 1578 | |
|
|
1578 | 1579 | def setFirstHeader(self): |
|
|
1579 | 1580 | """ |
|
|
1580 | 1581 | Obtiene una copia del First Header |
|
|
1581 | 1582 | |
|
|
1582 | 1583 | Affected: |
|
|
1583 | 1584 | |
|
|
1584 | 1585 | self.basicHeaderObj |
|
|
1585 | 1586 | self.systemHeaderObj |
|
|
1586 | 1587 | self.radarControllerHeaderObj |
|
|
1587 | 1588 | self.processingHeaderObj self. |
|
|
1588 | 1589 | |
|
|
1589 | 1590 | Return: |
|
|
1590 | 1591 | None |
|
|
1591 | 1592 | """ |
|
|
1592 | 1593 | |
|
|
1593 | 1594 | raise NotImplementedError |
|
|
1594 | 1595 | |
|
|
1595 | 1596 | def __writeFirstHeader(self): |
|
|
1596 | 1597 | """ |
|
|
1597 | 1598 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1598 | 1599 | |
|
|
1599 | 1600 | Affected: |
|
|
1600 | 1601 | __dataType |
|
|
1601 | 1602 | |
|
|
1602 | 1603 | Return: |
|
|
1603 | 1604 | None |
|
|
1604 | 1605 | """ |
|
|
1605 | 1606 | |
|
|
1606 | 1607 | # CALCULAR PARAMETROS |
|
|
1607 | 1608 | |
|
|
1608 | 1609 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1609 | 1610 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1610 | 1611 | |
|
|
1611 | 1612 | self.basicHeaderObj.write(self.fp) |
|
|
1612 | 1613 | self.systemHeaderObj.write(self.fp) |
|
|
1613 | 1614 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1614 | 1615 | self.processingHeaderObj.write(self.fp) |
|
|
1615 | 1616 | |
|
|
1616 | 1617 | def __setNewBlock(self): |
|
|
1617 | 1618 | """ |
|
|
1618 | 1619 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1619 | 1620 | |
|
|
1620 | 1621 | Return: |
|
|
1621 | 1622 | 0 : si no pudo escribir nada |
|
|
1622 | 1623 | 1 : Si escribio el Basic el First Header |
|
|
1623 | 1624 | """ |
|
|
1624 | 1625 | if self.fp == None: |
|
|
1625 | 1626 | self.setNextFile() |
|
|
1626 | 1627 | |
|
|
1627 | 1628 | if self.flagIsNewFile: |
|
|
1628 | 1629 | return 1 |
|
|
1629 | 1630 | |
|
|
1630 | 1631 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1631 | 1632 | self.basicHeaderObj.write(self.fp) |
|
|
1632 | 1633 | return 1 |
|
|
1633 | 1634 | |
|
|
1634 | 1635 | if not( self.setNextFile() ): |
|
|
1635 | 1636 | return 0 |
|
|
1636 | 1637 | |
|
|
1637 | 1638 | return 1 |
|
|
1638 | 1639 | |
|
|
1639 | 1640 | |
|
|
1640 | 1641 | def writeNextBlock(self): |
|
|
1641 | 1642 | """ |
|
|
1642 | 1643 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1643 | 1644 | |
|
|
1644 | 1645 | Return: |
|
|
1645 | 1646 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1646 | 1647 | 1 : Si no pudo escribir el bloque de datos |
|
|
1647 | 1648 | """ |
|
|
1648 | 1649 | if not( self.__setNewBlock() ): |
|
|
1649 | 1650 | return 0 |
|
|
1650 | 1651 | |
|
|
1651 | 1652 | self.writeBlock() |
|
|
1652 | 1653 | |
|
|
1653 | 1654 | print "[Writing] Block No. %d/%d" %(self.blockIndex, |
|
|
1654 | 1655 | self.processingHeaderObj.dataBlocksPerFile) |
|
|
1655 | 1656 | |
|
|
1656 | 1657 | return 1 |
|
|
1657 | 1658 | |
|
|
1658 | 1659 | def setNextFile(self): |
|
|
1659 | 1660 | """ |
|
|
1660 | 1661 | Determina el siguiente file que sera escrito |
|
|
1661 | 1662 | |
|
|
1662 | 1663 | Affected: |
|
|
1663 | 1664 | self.filename |
|
|
1664 | 1665 | self.subfolder |
|
|
1665 | 1666 | self.fp |
|
|
1666 | 1667 | self.setFile |
|
|
1667 | 1668 | self.flagIsNewFile |
|
|
1668 | 1669 | |
|
|
1669 | 1670 | Return: |
|
|
1670 | 1671 | 0 : Si el archivo no puede ser escrito |
|
|
1671 | 1672 | 1 : Si el archivo esta listo para ser escrito |
|
|
1672 | 1673 | """ |
|
|
1673 | 1674 | ext = self.ext |
|
|
1674 | 1675 | path = self.path |
|
|
1675 | 1676 | |
|
|
1676 | 1677 | if self.fp != None: |
|
|
1677 | 1678 | self.fp.close() |
|
|
1678 | 1679 | |
|
|
1679 | 1680 | timeTuple = time.localtime( self.dataOut.utctime) |
|
|
1680 | 1681 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
1681 | 1682 | |
|
|
1682 | 1683 | fullpath = os.path.join( path, subfolder ) |
|
|
1683 | 1684 | setFile = self.setFile |
|
|
1684 | 1685 | |
|
|
1685 | 1686 | if not( os.path.exists(fullpath) ): |
|
|
1686 | 1687 | os.mkdir(fullpath) |
|
|
1687 | 1688 | setFile = -1 #inicializo mi contador de seteo |
|
|
1688 | 1689 | else: |
|
|
1689 | 1690 | filesList = os.listdir( fullpath ) |
|
|
1690 | 1691 | if len( filesList ) > 0: |
|
|
1691 | 1692 | filesList = sorted( filesList, key=str.lower ) |
|
|
1692 | 1693 | filen = filesList[-1] |
|
|
1693 | 1694 | # el filename debera tener el siguiente formato |
|
|
1694 | 1695 | # 0 1234 567 89A BCDE (hex) |
|
|
1695 | 1696 | # x YYYY DDD SSS .ext |
|
|
1696 | 1697 | if isNumber( filen[8:11] ): |
|
|
1697 | 1698 | setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
1698 | 1699 | else: |
|
|
1699 | 1700 | setFile = -1 |
|
|
1700 | 1701 | else: |
|
|
1701 | 1702 | setFile = -1 #inicializo mi contador de seteo |
|
|
1702 | 1703 | |
|
|
1703 | 1704 | setFile += 1 |
|
|
1704 | 1705 | |
|
|
1705 | 1706 | #If this is a new day it resets some values |
|
|
1706 | 1707 | if self.dataOut.datatime.date() > self.fileDate: |
|
|
1707 | 1708 | setFile = 0 |
|
|
1708 | 1709 | self.nTotalBlocks = 0 |
|
|
1709 | 1710 | |
|
|
1710 | 1711 | filen = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext ) |
|
|
1711 | 1712 | |
|
|
1712 | 1713 | filename = os.path.join( path, subfolder, filen ) |
|
|
1713 | 1714 | |
|
|
1714 | 1715 | fp = open( filename,'wb' ) |
|
|
1715 | 1716 | |
|
|
1716 | 1717 | self.blockIndex = 0 |
|
|
1717 | 1718 | |
|
|
1718 | 1719 | #guardando atributos |
|
|
1719 | 1720 | self.filename = filename |
|
|
1720 | 1721 | self.subfolder = subfolder |
|
|
1721 | 1722 | self.fp = fp |
|
|
1722 | 1723 | self.setFile = setFile |
|
|
1723 | 1724 | self.flagIsNewFile = 1 |
|
|
1724 | 1725 | self.fileDate = self.dataOut.datatime.date() |
|
|
1725 | 1726 | |
|
|
1726 | 1727 | self.setFirstHeader() |
|
|
1727 | 1728 | |
|
|
1728 | 1729 | print '[Writing] Opening file: %s'%self.filename |
|
|
1729 | 1730 | |
|
|
1730 | 1731 | self.__writeFirstHeader() |
|
|
1731 | 1732 | |
|
|
1732 | 1733 | return 1 |
|
|
1733 | 1734 | |
|
|
1734 | 1735 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4): |
|
|
1735 | 1736 | """ |
|
|
1736 | 1737 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1737 | 1738 | |
|
|
1738 | 1739 | Inputs: |
|
|
1739 | 1740 | path : directory where data will be saved |
|
|
1740 | 1741 | profilesPerBlock : number of profiles per block |
|
|
1741 | 1742 | set : initial file set |
|
|
1742 | 1743 | datatype : An integer number that defines data type: |
|
|
1743 | 1744 | 0 : int8 (1 byte) |
|
|
1744 | 1745 | 1 : int16 (2 bytes) |
|
|
1745 | 1746 | 2 : int32 (4 bytes) |
|
|
1746 | 1747 | 3 : int64 (8 bytes) |
|
|
1747 | 1748 | 4 : float32 (4 bytes) |
|
|
1748 | 1749 | 5 : double64 (8 bytes) |
|
|
1749 | 1750 | |
|
|
1750 | 1751 | Return: |
|
|
1751 | 1752 | 0 : Si no realizo un buen seteo |
|
|
1752 | 1753 | 1 : Si realizo un buen seteo |
|
|
1753 | 1754 | """ |
|
|
1754 | 1755 | |
|
|
1755 | 1756 | if ext == None: |
|
|
1756 | 1757 | ext = self.ext |
|
|
1757 | 1758 | |
|
|
1758 | 1759 | self.ext = ext.lower() |
|
|
1759 | 1760 | |
|
|
1760 | 1761 | self.path = path |
|
|
1761 | 1762 | |
|
|
1762 | 1763 | if set is None: |
|
|
1763 | 1764 | self.setFile = -1 |
|
|
1764 | 1765 | else: |
|
|
1765 | 1766 | self.setFile = set - 1 |
|
|
1766 | 1767 | |
|
|
1767 | 1768 | self.blocksPerFile = blocksPerFile |
|
|
1768 | 1769 | |
|
|
1769 | 1770 | self.profilesPerBlock = profilesPerBlock |
|
|
1770 | 1771 | |
|
|
1771 | 1772 | self.dataOut = dataOut |
|
|
1772 | 1773 | self.fileDate = self.dataOut.datatime.date() |
|
|
1773 | 1774 | #By default |
|
|
1774 | 1775 | self.dtype = self.dataOut.dtype |
|
|
1775 | 1776 | |
|
|
1776 | 1777 | if datatype is not None: |
|
|
1777 | 1778 | self.dtype = get_numpy_dtype(datatype) |
|
|
1778 | 1779 | |
|
|
1779 | 1780 | if not(self.setNextFile()): |
|
|
1780 | 1781 | print "[Writing] There isn't a next file" |
|
|
1781 | 1782 | return 0 |
|
|
1782 | 1783 | |
|
|
1783 | 1784 | self.setBlockDimension() |
|
|
1784 | 1785 | |
|
|
1785 | 1786 | return 1 |
|
|
1786 | 1787 | |
|
|
1787 | 1788 | def run(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): |
|
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1788 | 1789 | |
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1789 | 1790 | if not(self.isConfig): |
|
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1790 | 1791 | |
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1791 | 1792 | self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, set=set, ext=ext, datatype=datatype, **kwargs) |
|
|
1792 | 1793 | self.isConfig = True |
|
|
1793 | 1794 | |
|
|
1794 | 1795 | self.putData() |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
| @@ -1,1191 +1,1193 | |||
|
|
1 | 1 | import os, sys |
|
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2 | 2 | import glob |
|
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3 | 3 | import fnmatch |
|
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4 | 4 | import datetime |
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5 | 5 | import time |
|
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6 | 6 | import re |
|
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7 | 7 | import h5py |
|
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8 | 8 | import numpy |
|
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9 | 9 | import matplotlib.pyplot as plt |
|
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10 | 10 | |
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11 | 11 | import pylab as plb |
|
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12 | 12 | from scipy.optimize import curve_fit |
|
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13 | 13 | from scipy import asarray as ar,exp |
|
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14 | 14 | from scipy import stats |
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15 | 15 | |
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16 | 16 | from duplicity.path import Path |
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17 | 17 | from numpy.ma.core import getdata |
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18 | 18 | |
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19 | 19 | SPEED_OF_LIGHT = 299792458 |
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20 | 20 | SPEED_OF_LIGHT = 3e8 |
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21 | 21 | |
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22 | 22 | try: |
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23 | 23 | from gevent import sleep |
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24 | 24 | except: |
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25 | 25 | from time import sleep |
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26 | 26 | |
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27 | 27 | from schainpy.model.data.jrodata import Spectra |
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28 | 28 | #from schainpy.model.data.BLTRheaderIO import FileHeader, RecordHeader |
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29 | 29 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
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30 | 30 | #from schainpy.model.io.jroIO_bltr import BLTRReader |
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31 | 31 | from numpy import imag, shape, NaN |
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32 | 32 | |
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33 | from jroIO_base import JRODataReader | |
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33 | 34 | |
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34 | 35 | |
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35 | 36 | class Header(object): |
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36 | 37 | |
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37 | 38 | def __init__(self): |
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38 | 39 | raise NotImplementedError |
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39 | 40 | |
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40 | 41 | |
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41 | 42 | def read(self): |
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42 | 43 | |
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43 | 44 | raise NotImplementedError |
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44 | 45 | |
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45 | 46 | def write(self): |
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46 | 47 | |
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47 | 48 | raise NotImplementedError |
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48 | 49 | |
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49 | 50 | def printInfo(self): |
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50 | 51 | |
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51 | 52 | message = "#"*50 + "\n" |
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52 | 53 | message += self.__class__.__name__.upper() + "\n" |
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53 | 54 | message += "#"*50 + "\n" |
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54 | 55 | |
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55 | 56 | keyList = self.__dict__.keys() |
|
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56 | 57 | keyList.sort() |
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57 | 58 | |
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58 | 59 | for key in keyList: |
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59 | 60 | message += "%s = %s" %(key, self.__dict__[key]) + "\n" |
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60 | 61 | |
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61 | 62 | if "size" not in keyList: |
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62 | 63 | attr = getattr(self, "size") |
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63 | 64 | |
|
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64 | 65 | if attr: |
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65 | 66 | message += "%s = %s" %("size", attr) + "\n" |
|
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66 | 67 | |
|
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67 | 68 | #print message |
|
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68 | 69 | |
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69 | 70 | |
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70 | 71 | |
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71 | 72 | |
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72 | 73 | |
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73 | 74 | FILE_STRUCTURE = numpy.dtype([ #HEADER 48bytes |
|
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74 | 75 | ('FileMgcNumber','<u4'), #0x23020100 |
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75 | 76 | ('nFDTdataRecors','<u4'), #No Of FDT data records in this file (0 or more) |
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76 | 77 | ('OffsetStartHeader','<u4'), |
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77 | 78 | ('RadarUnitId','<u4'), |
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78 | 79 | ('SiteName',numpy.str_,32), #Null terminated |
|
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79 | 80 | ]) |
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80 | 81 | |
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81 | 82 | class FileHeaderBLTR(Header): |
|
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82 | 83 | |
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83 | 84 | def __init__(self): |
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84 | 85 | |
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85 | 86 | self.FileMgcNumber= 0 #0x23020100 |
|
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86 | 87 | self.nFDTdataRecors=0 #No Of FDT data records in this file (0 or more) |
|
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87 | 88 | self.RadarUnitId= 0 |
|
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88 | 89 | self.OffsetStartHeader=0 |
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89 | 90 | self.SiteName= "" |
|
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90 | 91 | self.size = 48 |
|
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91 | 92 | |
|
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92 | 93 | def FHread(self, fp): |
|
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93 | 94 | #try: |
|
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94 | 95 | startFp = open(fp,"rb") |
|
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95 | 96 | |
|
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96 | 97 | header = numpy.fromfile(startFp, FILE_STRUCTURE,1) |
|
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97 | 98 | |
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98 | 99 | print ' ' |
|
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99 | 100 | print 'puntero file header', startFp.tell() |
|
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100 | 101 | print ' ' |
|
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101 | 102 | |
|
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102 | 103 | |
|
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103 | 104 | ''' numpy.fromfile(file, dtype, count, sep='') |
|
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104 | 105 | file : file or str |
|
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105 | 106 | Open file object or filename. |
|
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106 | 107 | |
|
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107 | 108 | dtype : data-type |
|
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108 | 109 | Data type of the returned array. For binary files, it is used to determine |
|
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109 | 110 | the size and byte-order of the items in the file. |
|
|
110 | 111 | |
|
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111 | 112 | count : int |
|
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112 | 113 | Number of items to read. -1 means all items (i.e., the complete file). |
|
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113 | 114 | |
|
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114 | 115 | sep : str |
|
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115 | 116 | Separator between items if file is a text file. Empty ("") separator means |
|
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116 | 117 | the file should be treated as binary. Spaces (" ") in the separator match zero |
|
|
117 | 118 | or more whitespace characters. A separator consisting only of spaces must match |
|
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118 | 119 | at least one whitespace. |
|
|
119 | 120 | |
|
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120 | 121 | ''' |
|
|
121 | 122 | |
|
|
122 | 123 | |
|
|
123 | 124 | |
|
|
124 | 125 | self.FileMgcNumber= hex(header['FileMgcNumber'][0]) |
|
|
125 | 126 | self.nFDTdataRecors=int(header['nFDTdataRecors'][0]) #No Of FDT data records in this file (0 or more) |
|
|
126 | 127 | self.RadarUnitId= int(header['RadarUnitId'][0]) |
|
|
127 | 128 | self.OffsetStartHeader= int(header['OffsetStartHeader'][0]) |
|
|
128 | 129 | self.SiteName= str(header['SiteName'][0]) |
|
|
129 | 130 | |
|
|
130 | 131 | #print 'Numero de bloques', self.nFDTdataRecors |
|
|
131 | 132 | |
|
|
132 | 133 | |
|
|
133 | 134 | if self.size <48: |
|
|
134 | 135 | return 0 |
|
|
135 | 136 | |
|
|
136 | 137 | return 1 |
|
|
137 | 138 | |
|
|
138 | 139 | |
|
|
139 | 140 | def write(self, fp): |
|
|
140 | 141 | |
|
|
141 | 142 | headerTuple = (self.FileMgcNumber, |
|
|
142 | 143 | self.nFDTdataRecors, |
|
|
143 | 144 | self.RadarUnitId, |
|
|
144 | 145 | self.SiteName, |
|
|
145 | 146 | self.size) |
|
|
146 | 147 | |
|
|
147 | 148 | |
|
|
148 | 149 | header = numpy.array(headerTuple, FILE_STRUCTURE) |
|
|
149 | 150 | # numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) |
|
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150 | 151 | header.tofile(fp) |
|
|
151 | 152 | ''' ndarray.tofile(fid, sep, format) Write array to a file as text or binary (default). |
|
|
152 | 153 | |
|
|
153 | 154 | fid : file or str |
|
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154 | 155 | An open file object, or a string containing a filename. |
|
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155 | 156 | |
|
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156 | 157 | sep : str |
|
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157 | 158 | Separator between array items for text output. If "" (empty), a binary file is written, |
|
|
158 | 159 | equivalent to file.write(a.tobytes()). |
|
|
159 | 160 | |
|
|
160 | 161 | format : str |
|
|
161 | 162 | Format string for text file output. Each entry in the array is formatted to text by |
|
|
162 | 163 | first converting it to the closest Python type, and then using "format" % item. |
|
|
163 | 164 | |
|
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164 | 165 | ''' |
|
|
165 | 166 | |
|
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166 | 167 | return 1 |
|
|
167 | 168 | |
|
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168 | 169 | |
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169 | 170 | |
|
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170 | 171 | |
|
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171 | 172 | |
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172 | 173 | RECORD_STRUCTURE = numpy.dtype([ #RECORD HEADER 180+20N bytes |
|
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173 | 174 | ('RecMgcNumber','<u4'), #0x23030001 |
|
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174 | 175 | ('RecCounter','<u4'), #Record counter(0,1, ...) |
|
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175 | 176 | ('Off2StartNxtRec','<u4'), #Offset to start of next record form start of this record |
|
|
176 | 177 | ('Off2StartData','<u4'), #Offset to start of data from start of this record |
|
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177 | 178 | ('nUtime','<i4'), #Epoch time stamp of start of acquisition (seconds) |
|
|
178 | 179 | ('nMilisec','<u4'), #Millisecond component of time stamp (0,...,999) |
|
|
179 | 180 | ('ExpTagName',numpy.str_,32), #Experiment tag name (null terminated) |
|
|
180 | 181 | ('ExpComment',numpy.str_,32), #Experiment comment (null terminated) |
|
|
181 | 182 | ('SiteLatDegrees','<f4'), #Site latitude (from GPS) in degrees (positive implies North) |
|
|
182 | 183 | ('SiteLongDegrees','<f4'), #Site longitude (from GPS) in degrees (positive implies East) |
|
|
183 | 184 | ('RTCgpsStatus','<u4'), #RTC GPS engine status (0=SEEK, 1=LOCK, 2=NOT FITTED, 3=UNAVAILABLE) |
|
|
184 | 185 | ('TransmitFrec','<u4'), #Transmit frequency (Hz) |
|
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185 | 186 | ('ReceiveFrec','<u4'), #Receive frequency |
|
|
186 | 187 | ('FirstOsciFrec','<u4'), #First local oscillator frequency (Hz) |
|
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187 | 188 | ('Polarisation','<u4'), #(0="O", 1="E", 2="linear 1", 3="linear2") |
|
|
188 | 189 | ('ReceiverFiltSett','<u4'), #Receiver filter settings (0,1,2,3) |
|
|
189 | 190 | ('nModesInUse','<u4'), #Number of modes in use (1 or 2) |
|
|
190 | 191 | ('DualModeIndex','<u4'), #Dual Mode index number for these data (0 or 1) |
|
|
191 | 192 | ('DualModeRange','<u4'), #Dual Mode range correction for these data (m) |
|
|
192 | 193 | ('nDigChannels','<u4'), #Number of digital channels acquired (2*N) |
|
|
193 | 194 | ('SampResolution','<u4'), #Sampling resolution (meters) |
|
|
194 | 195 | ('nHeights','<u4'), #Number of range gates sampled |
|
|
195 | 196 | ('StartRangeSamp','<u4'), #Start range of sampling (meters) |
|
|
196 | 197 | ('PRFhz','<u4'), #PRF (Hz) |
|
|
197 | 198 | ('nCohInt','<u4'), #Integrations |
|
|
198 | 199 | ('nProfiles','<u4'), #Number of data points transformed |
|
|
199 | 200 | ('nChannels','<u4'), #Number of receive beams stored in file (1 or N) |
|
|
200 | 201 | ('nIncohInt','<u4'), #Number of spectral averages |
|
|
201 | 202 | ('FFTwindowingInd','<u4'), #FFT windowing index (0 = no window) |
|
|
202 | 203 | ('BeamAngleAzim','<f4'), #Beam steer angle (azimuth) in degrees (clockwise from true North) |
|
|
203 | 204 | ('BeamAngleZen','<f4'), #Beam steer angle (zenith) in degrees (0=> vertical) |
|
|
204 | 205 | ('AntennaCoord0','<f4'), #Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
205 | 206 | ('AntennaAngl0','<f4'), #Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
206 | 207 | ('AntennaCoord1','<f4'), #Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
207 | 208 | ('AntennaAngl1','<f4'), #Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
208 | 209 | ('AntennaCoord2','<f4'), #Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
209 | 210 | ('AntennaAngl2','<f4'), #Antenna coordinates (Range(meters), Bearing(degrees)) - N pairs |
|
|
210 | 211 | ('RecPhaseCalibr0','<f4'), #Receiver phase calibration (degrees) - N values |
|
|
211 | 212 | ('RecPhaseCalibr1','<f4'), #Receiver phase calibration (degrees) - N values |
|
|
212 | 213 | ('RecPhaseCalibr2','<f4'), #Receiver phase calibration (degrees) - N values |
|
|
213 | 214 | ('RecAmpCalibr0','<f4'), #Receiver amplitude calibration (ratio relative to receiver one) - N values |
|
|
214 | 215 | ('RecAmpCalibr1','<f4'), #Receiver amplitude calibration (ratio relative to receiver one) - N values |
|
|
215 | 216 | ('RecAmpCalibr2','<f4'), #Receiver amplitude calibration (ratio relative to receiver one) - N values |
|
|
216 | 217 | ('ReceiverGaindB0','<i4'), #Receiver gains in dB - N values |
|
|
217 | 218 | ('ReceiverGaindB1','<i4'), #Receiver gains in dB - N values |
|
|
218 | 219 | ('ReceiverGaindB2','<i4'), #Receiver gains in dB - N values |
|
|
219 | 220 | ]) |
|
|
220 | 221 | |
|
|
221 | 222 | |
|
|
222 | 223 | class RecordHeaderBLTR(Header): |
|
|
223 | 224 | |
|
|
224 | 225 | def __init__(self, RecMgcNumber=None, RecCounter= 0, Off2StartNxtRec= 811248, |
|
|
225 | 226 | nUtime= 0, nMilisec= 0, ExpTagName= None, |
|
|
226 | 227 | ExpComment=None, SiteLatDegrees=0, SiteLongDegrees= 0, |
|
|
227 | 228 | RTCgpsStatus= 0, TransmitFrec= 0, ReceiveFrec= 0, |
|
|
228 | 229 | FirstOsciFrec= 0, Polarisation= 0, ReceiverFiltSett= 0, |
|
|
229 | 230 | nModesInUse= 0, DualModeIndex= 0, DualModeRange= 0, |
|
|
230 | 231 | nDigChannels= 0, SampResolution= 0, nHeights= 0, |
|
|
231 | 232 | StartRangeSamp= 0, PRFhz= 0, nCohInt= 0, |
|
|
232 | 233 | nProfiles= 0, nChannels= 0, nIncohInt= 0, |
|
|
233 | 234 | FFTwindowingInd= 0, BeamAngleAzim= 0, BeamAngleZen= 0, |
|
|
234 | 235 | AntennaCoord0= 0, AntennaCoord1= 0, AntennaCoord2= 0, |
|
|
235 | 236 | RecPhaseCalibr0= 0, RecPhaseCalibr1= 0, RecPhaseCalibr2= 0, |
|
|
236 | 237 | RecAmpCalibr0= 0, RecAmpCalibr1= 0, RecAmpCalibr2= 0, |
|
|
237 | 238 | AntennaAngl0=0, AntennaAngl1=0, AntennaAngl2=0, |
|
|
238 | 239 | ReceiverGaindB0= 0, ReceiverGaindB1= 0, ReceiverGaindB2= 0, Off2StartData=0, OffsetStartHeader=0): |
|
|
239 | 240 | |
|
|
240 | 241 | self.RecMgcNumber = RecMgcNumber #0x23030001 |
|
|
241 | 242 | self.RecCounter = RecCounter |
|
|
242 | 243 | self.Off2StartNxtRec = Off2StartNxtRec |
|
|
243 | 244 | self.Off2StartData = Off2StartData |
|
|
244 | 245 | self.nUtime = nUtime |
|
|
245 | 246 | self.nMilisec = nMilisec |
|
|
246 | 247 | self.ExpTagName = ExpTagName |
|
|
247 | 248 | self.ExpComment = ExpComment |
|
|
248 | 249 | self.SiteLatDegrees = SiteLatDegrees |
|
|
249 | 250 | self.SiteLongDegrees = SiteLongDegrees |
|
|
250 | 251 | self.RTCgpsStatus = RTCgpsStatus |
|
|
251 | 252 | self.TransmitFrec = TransmitFrec |
|
|
252 | 253 | self.ReceiveFrec = ReceiveFrec |
|
|
253 | 254 | self.FirstOsciFrec = FirstOsciFrec |
|
|
254 | 255 | self.Polarisation = Polarisation |
|
|
255 | 256 | self.ReceiverFiltSett = ReceiverFiltSett |
|
|
256 | 257 | self.nModesInUse = nModesInUse |
|
|
257 | 258 | self.DualModeIndex = DualModeIndex |
|
|
258 | 259 | self.DualModeRange = DualModeRange |
|
|
259 | 260 | self.nDigChannels = nDigChannels |
|
|
260 | 261 | self.SampResolution = SampResolution |
|
|
261 | 262 | self.nHeights = nHeights |
|
|
262 | 263 | self.StartRangeSamp = StartRangeSamp |
|
|
263 | 264 | self.PRFhz = PRFhz |
|
|
264 | 265 | self.nCohInt = nCohInt |
|
|
265 | 266 | self.nProfiles = nProfiles |
|
|
266 | 267 | self.nChannels = nChannels |
|
|
267 | 268 | self.nIncohInt = nIncohInt |
|
|
268 | 269 | self.FFTwindowingInd = FFTwindowingInd |
|
|
269 | 270 | self.BeamAngleAzim = BeamAngleAzim |
|
|
270 | 271 | self.BeamAngleZen = BeamAngleZen |
|
|
271 | 272 | self.AntennaCoord0 = AntennaCoord0 |
|
|
272 | 273 | self.AntennaAngl0 = AntennaAngl0 |
|
|
273 | 274 | self.AntennaAngl1 = AntennaAngl1 |
|
|
274 | 275 | self.AntennaAngl2 = AntennaAngl2 |
|
|
275 | 276 | self.AntennaCoord1 = AntennaCoord1 |
|
|
276 | 277 | self.AntennaCoord2 = AntennaCoord2 |
|
|
277 | 278 | self.RecPhaseCalibr0 = RecPhaseCalibr0 |
|
|
278 | 279 | self.RecPhaseCalibr1 = RecPhaseCalibr1 |
|
|
279 | 280 | self.RecPhaseCalibr2 = RecPhaseCalibr2 |
|
|
280 | 281 | self.RecAmpCalibr0 = RecAmpCalibr0 |
|
|
281 | 282 | self.RecAmpCalibr1 = RecAmpCalibr1 |
|
|
282 | 283 | self.RecAmpCalibr2 = RecAmpCalibr2 |
|
|
283 | 284 | self.ReceiverGaindB0 = ReceiverGaindB0 |
|
|
284 | 285 | self.ReceiverGaindB1 = ReceiverGaindB1 |
|
|
285 | 286 | self.ReceiverGaindB2 = ReceiverGaindB2 |
|
|
286 | 287 | self.OffsetStartHeader = 48 |
|
|
287 | 288 | |
|
|
288 | 289 | |
|
|
289 | 290 | |
|
|
290 | 291 | def RHread(self, fp): |
|
|
291 | 292 | #print fp |
|
|
292 | 293 | #startFp = open('/home/erick/Documents/Data/huancayo.20161019.22.fdt',"rb") #The method tell() returns the current position of the file read/write pointer within the file. |
|
|
293 | 294 | startFp = open(fp,"rb") #The method tell() returns the current position of the file read/write pointer within the file. |
|
|
294 | 295 | #RecCounter=0 |
|
|
295 | 296 | #Off2StartNxtRec=811248 |
|
|
296 | 297 | OffRHeader= self.OffsetStartHeader + self.RecCounter*self.Off2StartNxtRec |
|
|
297 | 298 | print ' ' |
|
|
298 | 299 | print 'puntero Record Header', startFp.tell() |
|
|
299 | 300 | print ' ' |
|
|
300 | 301 | |
|
|
301 | 302 | |
|
|
302 | 303 | startFp.seek(OffRHeader, os.SEEK_SET) |
|
|
303 | 304 | |
|
|
304 | 305 | print ' ' |
|
|
305 | 306 | print 'puntero Record Header con seek', startFp.tell() |
|
|
306 | 307 | print ' ' |
|
|
307 | 308 | |
|
|
308 | 309 | #print 'Posicion del bloque: ',OffRHeader |
|
|
309 | 310 | |
|
|
310 | 311 | header = numpy.fromfile(startFp,RECORD_STRUCTURE,1) |
|
|
311 | 312 | |
|
|
312 | 313 | print ' ' |
|
|
313 | 314 | print 'puntero Record Header con seek', startFp.tell() |
|
|
314 | 315 | print ' ' |
|
|
315 | 316 | |
|
|
316 | 317 | print ' ' |
|
|
317 | 318 | # |
|
|
318 | 319 | #print 'puntero Record Header despues de seek', header.tell() |
|
|
319 | 320 | print ' ' |
|
|
320 | 321 | |
|
|
321 | 322 | self.RecMgcNumber = hex(header['RecMgcNumber'][0]) #0x23030001 |
|
|
322 | 323 | self.RecCounter = int(header['RecCounter'][0]) |
|
|
323 | 324 | self.Off2StartNxtRec = int(header['Off2StartNxtRec'][0]) |
|
|
324 | 325 | self.Off2StartData = int(header['Off2StartData'][0]) |
|
|
325 | 326 | self.nUtime = header['nUtime'][0] |
|
|
326 | 327 | self.nMilisec = header['nMilisec'][0] |
|
|
327 | 328 | self.ExpTagName = str(header['ExpTagName'][0]) |
|
|
328 | 329 | self.ExpComment = str(header['ExpComment'][0]) |
|
|
329 | 330 | self.SiteLatDegrees = header['SiteLatDegrees'][0] |
|
|
330 | 331 | self.SiteLongDegrees = header['SiteLongDegrees'][0] |
|
|
331 | 332 | self.RTCgpsStatus = header['RTCgpsStatus'][0] |
|
|
332 | 333 | self.TransmitFrec = header['TransmitFrec'][0] |
|
|
333 | 334 | self.ReceiveFrec = header['ReceiveFrec'][0] |
|
|
334 | 335 | self.FirstOsciFrec = header['FirstOsciFrec'][0] |
|
|
335 | 336 | self.Polarisation = header['Polarisation'][0] |
|
|
336 | 337 | self.ReceiverFiltSett = header['ReceiverFiltSett'][0] |
|
|
337 | 338 | self.nModesInUse = header['nModesInUse'][0] |
|
|
338 | 339 | self.DualModeIndex = header['DualModeIndex'][0] |
|
|
339 | 340 | self.DualModeRange = header['DualModeRange'][0] |
|
|
340 | 341 | self.nDigChannels = header['nDigChannels'][0] |
|
|
341 | 342 | self.SampResolution = header['SampResolution'][0] |
|
|
342 | 343 | self.nHeights = header['nHeights'][0] |
|
|
343 | 344 | self.StartRangeSamp = header['StartRangeSamp'][0] |
|
|
344 | 345 | self.PRFhz = header['PRFhz'][0] |
|
|
345 | 346 | self.nCohInt = header['nCohInt'][0] |
|
|
346 | 347 | self.nProfiles = header['nProfiles'][0] |
|
|
347 | 348 | self.nChannels = header['nChannels'][0] |
|
|
348 | 349 | self.nIncohInt = header['nIncohInt'][0] |
|
|
349 | 350 | self.FFTwindowingInd = header['FFTwindowingInd'][0] |
|
|
350 | 351 | self.BeamAngleAzim = header['BeamAngleAzim'][0] |
|
|
351 | 352 | self.BeamAngleZen = header['BeamAngleZen'][0] |
|
|
352 | 353 | self.AntennaCoord0 = header['AntennaCoord0'][0] |
|
|
353 | 354 | self.AntennaAngl0 = header['AntennaAngl0'][0] |
|
|
354 | 355 | self.AntennaCoord1 = header['AntennaCoord1'][0] |
|
|
355 | 356 | self.AntennaAngl1 = header['AntennaAngl1'][0] |
|
|
356 | 357 | self.AntennaCoord2 = header['AntennaCoord2'][0] |
|
|
357 | 358 | self.AntennaAngl2 = header['AntennaAngl2'][0] |
|
|
358 | 359 | self.RecPhaseCalibr0 = header['RecPhaseCalibr0'][0] |
|
|
359 | 360 | self.RecPhaseCalibr1 = header['RecPhaseCalibr1'][0] |
|
|
360 | 361 | self.RecPhaseCalibr2 = header['RecPhaseCalibr2'][0] |
|
|
361 | 362 | self.RecAmpCalibr0 = header['RecAmpCalibr0'][0] |
|
|
362 | 363 | self.RecAmpCalibr1 = header['RecAmpCalibr1'][0] |
|
|
363 | 364 | self.RecAmpCalibr2 = header['RecAmpCalibr2'][0] |
|
|
364 | 365 | self.ReceiverGaindB0 = header['ReceiverGaindB0'][0] |
|
|
365 | 366 | self.ReceiverGaindB1 = header['ReceiverGaindB1'][0] |
|
|
366 | 367 | self.ReceiverGaindB2 = header['ReceiverGaindB2'][0] |
|
|
367 | 368 | |
|
|
368 | 369 | self.ipp= 0.5*(SPEED_OF_LIGHT/self.PRFhz) |
|
|
369 | 370 | |
|
|
370 | 371 | self.RHsize = 180+20*self.nChannels |
|
|
371 | 372 | self.Datasize= self.nProfiles*self.nChannels*self.nHeights*2*4 |
|
|
372 | 373 | #print 'Datasize',self.Datasize |
|
|
373 | 374 | endFp = self.OffsetStartHeader + self.RecCounter*self.Off2StartNxtRec |
|
|
374 | 375 | |
|
|
375 | 376 | print '==============================================' |
|
|
376 | 377 | print 'RecMgcNumber ',self.RecMgcNumber |
|
|
377 | 378 | print 'RecCounter ',self.RecCounter |
|
|
378 | 379 | print 'Off2StartNxtRec ',self.Off2StartNxtRec |
|
|
379 | 380 | print 'Off2StartData ',self.Off2StartData |
|
|
380 | 381 | print 'Range Resolution ',self.SampResolution |
|
|
381 | 382 | print 'First Height ',self.StartRangeSamp |
|
|
382 | 383 | print 'PRF (Hz) ',self.PRFhz |
|
|
383 | 384 | print 'Heights (K) ',self.nHeights |
|
|
384 | 385 | print 'Channels (N) ',self.nChannels |
|
|
385 | 386 | print 'Profiles (J) ',self.nProfiles |
|
|
386 | 387 | print 'iCoh ',self.nCohInt |
|
|
387 | 388 | print 'iInCoh ',self.nIncohInt |
|
|
388 | 389 | print 'BeamAngleAzim ',self.BeamAngleAzim |
|
|
389 | 390 | print 'BeamAngleZen ',self.BeamAngleZen |
|
|
390 | 391 | |
|
|
391 | 392 | #print 'ModoEnUso ',self.DualModeIndex |
|
|
392 | 393 | #print 'UtcTime ',self.nUtime |
|
|
393 | 394 | #print 'MiliSec ',self.nMilisec |
|
|
394 | 395 | #print 'Exp TagName ',self.ExpTagName |
|
|
395 | 396 | #print 'Exp Comment ',self.ExpComment |
|
|
396 | 397 | #print 'FFT Window Index ',self.FFTwindowingInd |
|
|
397 | 398 | #print 'N Dig. Channels ',self.nDigChannels |
|
|
398 | 399 | print 'Size de bloque ',self.RHsize |
|
|
399 | 400 | print 'DataSize ',self.Datasize |
|
|
400 | 401 | print 'BeamAngleAzim ',self.BeamAngleAzim |
|
|
401 | 402 | #print 'AntennaCoord0 ',self.AntennaCoord0 |
|
|
402 | 403 | #print 'AntennaAngl0 ',self.AntennaAngl0 |
|
|
403 | 404 | #print 'AntennaCoord1 ',self.AntennaCoord1 |
|
|
404 | 405 | #print 'AntennaAngl1 ',self.AntennaAngl1 |
|
|
405 | 406 | #print 'AntennaCoord2 ',self.AntennaCoord2 |
|
|
406 | 407 | #print 'AntennaAngl2 ',self.AntennaAngl2 |
|
|
407 | 408 | print 'RecPhaseCalibr0 ',self.RecPhaseCalibr0 |
|
|
408 | 409 | print 'RecPhaseCalibr1 ',self.RecPhaseCalibr1 |
|
|
409 | 410 | print 'RecPhaseCalibr2 ',self.RecPhaseCalibr2 |
|
|
410 | 411 | print 'RecAmpCalibr0 ',self.RecAmpCalibr0 |
|
|
411 | 412 | print 'RecAmpCalibr1 ',self.RecAmpCalibr1 |
|
|
412 | 413 | print 'RecAmpCalibr2 ',self.RecAmpCalibr2 |
|
|
413 | 414 | print 'ReceiverGaindB0 ',self.ReceiverGaindB0 |
|
|
414 | 415 | print 'ReceiverGaindB1 ',self.ReceiverGaindB1 |
|
|
415 | 416 | print 'ReceiverGaindB2 ',self.ReceiverGaindB2 |
|
|
416 | 417 | print '==============================================' |
|
|
417 | 418 | |
|
|
418 | 419 | if OffRHeader > endFp: |
|
|
419 | 420 | sys.stderr.write("Warning %s: Size value read from System Header is lower than it has to be\n" %fp) |
|
|
420 | 421 | return 0 |
|
|
421 | 422 | |
|
|
422 | 423 | if OffRHeader < endFp: |
|
|
423 | 424 | sys.stderr.write("Warning %s: Size value read from System Header size is greater than it has to be\n" %fp) |
|
|
424 | 425 | return 0 |
|
|
425 | 426 | |
|
|
426 | 427 | return 1 |
|
|
427 | 428 | |
|
|
428 | 429 | |
|
|
429 | class BLTRReader (ProcessingUnit,FileHeaderBLTR,RecordHeaderBLTR): | |
|
|
430 | class BLTRReader (ProcessingUnit, FileHeaderBLTR, RecordHeaderBLTR, JRODataReader): | |
|
|
430 | 431 | |
|
|
431 | 432 | path = None |
|
|
432 | 433 | startDate = None |
|
|
433 | 434 | endDate = None |
|
|
434 | 435 | startTime = None |
|
|
435 | 436 | endTime = None |
|
|
436 | 437 | walk = None |
|
|
437 | 438 | isConfig = False |
|
|
438 | 439 | |
|
|
439 | 440 | |
|
|
440 | 441 | fileList= None |
|
|
441 | 442 | |
|
|
442 | 443 | #metadata |
|
|
443 | 444 | TimeZone= None |
|
|
444 | 445 | Interval= None |
|
|
445 | 446 | heightList= None |
|
|
446 | 447 | |
|
|
447 | 448 | #data |
|
|
448 | 449 | data= None |
|
|
449 | 450 | utctime= None |
|
|
450 | 451 | |
|
|
451 | 452 | |
|
|
452 | 453 | |
|
|
453 | def __init__(self): | |
|
|
454 | def __init__(self, **kwargs): | |
|
|
454 | 455 | |
|
|
455 | 456 | #Eliminar de la base la herencia |
|
|
456 | ProcessingUnit.__init__(self) | |
|
|
457 | ProcessingUnit.__init__(self, **kwargs) | |
|
|
457 | 458 | |
|
|
458 | 459 | # self.isConfig = False |
|
|
459 | 460 | |
|
|
460 | 461 | #self.pts2read_SelfSpectra = 0 |
|
|
461 | 462 | #self.pts2read_CrossSpectra = 0 |
|
|
462 | 463 | #self.pts2read_DCchannels = 0 |
|
|
463 | 464 | #self.datablock = None |
|
|
464 | 465 | self.utc = None |
|
|
465 | 466 | self.ext = ".fdt" |
|
|
466 | 467 | self.optchar = "P" |
|
|
467 | 468 | self.fpFile=None |
|
|
468 | 469 | self.fp = None |
|
|
469 | 470 | self.BlockCounter=0 |
|
|
470 | 471 | self.dtype = None |
|
|
471 | 472 | self.fileSizeByHeader = None |
|
|
472 | 473 | self.filenameList = [] |
|
|
473 | 474 | self.fileSelector = 0 |
|
|
474 | 475 | self.Off2StartNxtRec=0 |
|
|
475 | 476 | self.RecCounter=0 |
|
|
476 | 477 | self.flagNoMoreFiles = 0 |
|
|
477 | 478 | self.data_spc=None |
|
|
478 | 479 | self.data_cspc=None |
|
|
479 | 480 | self.data_output=None |
|
|
480 | 481 | self.path = None |
|
|
481 | 482 | self.OffsetStartHeader=0 |
|
|
482 | 483 | self.Off2StartData=0 |
|
|
483 | 484 | self.ipp = 0 |
|
|
484 | 485 | self.nFDTdataRecors=0 |
|
|
485 | 486 | self.blocksize = 0 |
|
|
486 | 487 | self.dataOut = Spectra() |
|
|
487 | 488 | self.profileIndex = 1 #Always |
|
|
488 | 489 | self.dataOut.flagNoData=False |
|
|
489 | 490 | self.dataOut.nRdPairs = 0 |
|
|
490 | 491 | self.dataOut.pairsList = [] |
|
|
491 | 492 | self.dataOut.data_spc=None |
|
|
492 | 493 | self.dataOut.noise=[] |
|
|
493 | 494 | self.dataOut.velocityX=[] |
|
|
494 | 495 | self.dataOut.velocityY=[] |
|
|
495 | 496 | self.dataOut.velocityV=[] |
|
|
496 | 497 | |
|
|
497 | 498 | |
|
|
498 | 499 | |
|
|
499 | 500 | def Files2Read(self, fp): |
|
|
500 | 501 | ''' |
|
|
501 | 502 | Function that indicates the number of .fdt files that exist in the folder to be read. |
|
|
502 | 503 | It also creates an organized list with the names of the files to read. |
|
|
503 | 504 | ''' |
|
|
504 | 505 | #self.__checkPath() |
|
|
505 | 506 | |
|
|
506 | 507 | ListaData=os.listdir(fp) #Gets the list of files within the fp address |
|
|
507 | 508 | ListaData=sorted(ListaData) #Sort the list of files from least to largest by names |
|
|
508 | 509 | nFiles=0 #File Counter |
|
|
509 | 510 | FileList=[] #A list is created that will contain the .fdt files |
|
|
510 | 511 | for IndexFile in ListaData : |
|
|
511 | 512 | if '.fdt' in IndexFile: |
|
|
512 | 513 | FileList.append(IndexFile) |
|
|
513 | 514 | nFiles+=1 |
|
|
514 | 515 | |
|
|
515 | 516 | #print 'Files2Read' |
|
|
516 | 517 | #print 'Existen '+str(nFiles)+' archivos .fdt' |
|
|
517 | 518 | |
|
|
518 | 519 | self.filenameList=FileList #List of files from least to largest by names |
|
|
519 | 520 | |
|
|
520 | 521 | |
|
|
521 | 522 | def run(self, **kwargs): |
|
|
522 | 523 | ''' |
|
|
523 | 524 | This method will be the one that will initiate the data entry, will be called constantly. |
|
|
524 | 525 | You should first verify that your Setup () is set up and then continue to acquire |
|
|
525 | 526 | the data to be processed with getData (). |
|
|
526 | 527 | ''' |
|
|
527 | 528 | if not self.isConfig: |
|
|
528 | 529 | self.setup(**kwargs) |
|
|
529 | 530 | self.isConfig = True |
|
|
530 | 531 | |
|
|
531 | 532 | self.getData() |
|
|
532 | 533 | #print 'running' |
|
|
533 | 534 | |
|
|
534 | 535 | |
|
|
535 | 536 | def setup(self, path=None, |
|
|
536 | 537 | startDate=None, |
|
|
537 | 538 | endDate=None, |
|
|
538 | 539 | startTime=None, |
|
|
539 | 540 | endTime=None, |
|
|
540 | 541 | walk=True, |
|
|
541 | 542 | timezone='utc', |
|
|
542 | 543 | code = None, |
|
|
543 | 544 | online=False, |
|
|
544 |
ReadMode=None |
|
|
|
545 | ReadMode=None, | |
|
|
546 | **kwargs): | |
|
|
545 | 547 | |
|
|
546 | 548 | self.isConfig = True |
|
|
547 | 549 | |
|
|
548 | 550 | self.path=path |
|
|
549 | 551 | self.startDate=startDate |
|
|
550 | 552 | self.endDate=endDate |
|
|
551 | 553 | self.startTime=startTime |
|
|
552 | 554 | self.endTime=endTime |
|
|
553 | 555 | self.walk=walk |
|
|
554 | 556 | self.ReadMode=int(ReadMode) |
|
|
555 | 557 | |
|
|
556 | 558 | pass |
|
|
557 | 559 | |
|
|
558 | 560 | |
|
|
559 | 561 | def getData(self): |
|
|
560 | 562 | ''' |
|
|
561 | 563 | Before starting this function, you should check that there is still an unread file, |
|
|
562 | 564 | If there are still blocks to read or if the data block is empty. |
|
|
563 | 565 | |
|
|
564 | 566 | You should call the file "read". |
|
|
565 | 567 | |
|
|
566 | 568 | ''' |
|
|
567 | 569 | |
|
|
568 | 570 | if self.flagNoMoreFiles: |
|
|
569 | 571 | self.dataOut.flagNoData = True |
|
|
570 | 572 | print 'NoData se vuelve true' |
|
|
571 | 573 | return 0 |
|
|
572 | 574 | |
|
|
573 | 575 | self.fp=self.path |
|
|
574 | 576 | self.Files2Read(self.fp) |
|
|
575 | 577 | self.readFile(self.fp) |
|
|
576 | 578 | self.dataOut.data_spc = self.data_spc |
|
|
577 | 579 | self.dataOut.data_cspc =self.data_cspc |
|
|
578 | 580 | self.dataOut.data_output=self.data_output |
|
|
579 | 581 | |
|
|
580 | 582 | print 'self.dataOut.data_output', shape(self.dataOut.data_output) |
|
|
581 | 583 | |
|
|
582 | 584 | #self.removeDC() |
|
|
583 | 585 | return self.dataOut.data_spc |
|
|
584 | 586 | |
|
|
585 | 587 | |
|
|
586 | 588 | def readFile(self,fp): |
|
|
587 | 589 | ''' |
|
|
588 | 590 | You must indicate if you are reading in Online or Offline mode and load the |
|
|
589 | 591 | The parameters for this file reading mode. |
|
|
590 | 592 | |
|
|
591 | 593 | Then you must do 2 actions: |
|
|
592 | 594 | |
|
|
593 | 595 | 1. Get the BLTR FileHeader. |
|
|
594 | 596 | 2. Start reading the first block. |
|
|
595 | 597 | ''' |
|
|
596 | 598 | |
|
|
597 | 599 | #The address of the folder is generated the name of the .fdt file that will be read |
|
|
598 | 600 | print "File: ",self.fileSelector+1 |
|
|
599 | 601 | |
|
|
600 | 602 | if self.fileSelector < len(self.filenameList): |
|
|
601 | 603 | |
|
|
602 | 604 | self.fpFile=str(fp)+'/'+str(self.filenameList[self.fileSelector]) |
|
|
603 | 605 | #print self.fpFile |
|
|
604 | 606 | fheader = FileHeaderBLTR() |
|
|
605 | 607 | fheader.FHread(self.fpFile) #Bltr FileHeader Reading |
|
|
606 | 608 | self.nFDTdataRecors=fheader.nFDTdataRecors |
|
|
607 | 609 | |
|
|
608 | 610 | self.readBlock() #Block reading |
|
|
609 | 611 | else: |
|
|
610 | 612 | print 'readFile FlagNoData becomes true' |
|
|
611 | 613 | self.flagNoMoreFiles=True |
|
|
612 | 614 | self.dataOut.flagNoData = True |
|
|
613 | 615 | return 0 |
|
|
614 | 616 | |
|
|
615 | 617 | def getVelRange(self, extrapoints=0): |
|
|
616 | 618 | Lambda= SPEED_OF_LIGHT/50000000 |
|
|
617 | 619 | PRF = self.dataOut.PRF#1./(self.dataOut.ippSeconds * self.dataOut.nCohInt) |
|
|
618 | 620 | Vmax=-Lambda/(4.*(1./PRF)*self.dataOut.nCohInt*2.) |
|
|
619 | 621 | deltafreq = PRF / (self.nProfiles) |
|
|
620 | 622 | deltavel = (Vmax*2) / (self.nProfiles) |
|
|
621 | 623 | freqrange = deltafreq*(numpy.arange(self.nProfiles)-self.nProfiles/2.) - deltafreq/2 |
|
|
622 | 624 | velrange = deltavel*(numpy.arange(self.nProfiles)-self.nProfiles/2.) |
|
|
623 | 625 | return velrange |
|
|
624 | 626 | |
|
|
625 | 627 | def readBlock(self): |
|
|
626 | 628 | ''' |
|
|
627 | 629 | It should be checked if the block has data, if it is not passed to the next file. |
|
|
628 | 630 | |
|
|
629 | 631 | Then the following is done: |
|
|
630 | 632 | |
|
|
631 | 633 | 1. Read the RecordHeader |
|
|
632 | 634 | 2. Fill the buffer with the current block number. |
|
|
633 | 635 | |
|
|
634 | 636 | ''' |
|
|
635 | 637 | |
|
|
636 | 638 | if self.BlockCounter < self.nFDTdataRecors-2: |
|
|
637 | 639 | print self.nFDTdataRecors, 'CONDICION!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!' |
|
|
638 | 640 | if self.ReadMode==1: |
|
|
639 | 641 | rheader = RecordHeaderBLTR(RecCounter=self.BlockCounter+1) |
|
|
640 | 642 | elif self.ReadMode==0: |
|
|
641 | 643 | rheader = RecordHeaderBLTR(RecCounter=self.BlockCounter) |
|
|
642 | 644 | |
|
|
643 | 645 | rheader.RHread(self.fpFile) #Bltr FileHeader Reading |
|
|
644 | 646 | |
|
|
645 | 647 | self.OffsetStartHeader=rheader.OffsetStartHeader |
|
|
646 | 648 | self.RecCounter=rheader.RecCounter |
|
|
647 | 649 | self.Off2StartNxtRec=rheader.Off2StartNxtRec |
|
|
648 | 650 | self.Off2StartData=rheader.Off2StartData |
|
|
649 | 651 | self.nProfiles=rheader.nProfiles |
|
|
650 | 652 | self.nChannels=rheader.nChannels |
|
|
651 | 653 | self.nHeights=rheader.nHeights |
|
|
652 | 654 | self.frequency=rheader.TransmitFrec |
|
|
653 | 655 | self.DualModeIndex=rheader.DualModeIndex |
|
|
654 | 656 | |
|
|
655 | 657 | self.pairsList =[(0,1),(0,2),(1,2)] |
|
|
656 | 658 | self.dataOut.pairsList = self.pairsList |
|
|
657 | 659 | |
|
|
658 | 660 | self.nRdPairs=len(self.dataOut.pairsList) |
|
|
659 | 661 | self.dataOut.nRdPairs = self.nRdPairs |
|
|
660 | 662 | |
|
|
661 | 663 | self.__firstHeigth=rheader.StartRangeSamp |
|
|
662 | 664 | self.__deltaHeigth=rheader.SampResolution |
|
|
663 | 665 | self.dataOut.heightList= self.__firstHeigth + numpy.array(range(self.nHeights))*self.__deltaHeigth |
|
|
664 | 666 | self.dataOut.channelList = range(self.nChannels) |
|
|
665 | 667 | self.dataOut.nProfiles=rheader.nProfiles |
|
|
666 | 668 | self.dataOut.nIncohInt=rheader.nIncohInt |
|
|
667 | 669 | self.dataOut.nCohInt=rheader.nCohInt |
|
|
668 | 670 | self.dataOut.ippSeconds= 1/float(rheader.PRFhz) |
|
|
669 | 671 | self.dataOut.PRF=rheader.PRFhz |
|
|
670 | 672 | self.dataOut.nFFTPoints=rheader.nProfiles |
|
|
671 | 673 | self.dataOut.utctime=rheader.nUtime |
|
|
672 | 674 | self.dataOut.timeZone=0 |
|
|
673 | 675 | self.dataOut.normFactor= self.dataOut.nProfiles*self.dataOut.nIncohInt*self.dataOut.nCohInt |
|
|
674 | 676 | self.dataOut.outputInterval= self.dataOut.ippSeconds * self.dataOut.nCohInt * self.dataOut.nIncohInt * self.nProfiles |
|
|
675 | 677 | |
|
|
676 | 678 | self.data_output=numpy.ones([3,rheader.nHeights])*numpy.NaN |
|
|
677 | 679 | print 'self.data_output', shape(self.data_output) |
|
|
678 | 680 | self.dataOut.velocityX=[] |
|
|
679 | 681 | self.dataOut.velocityY=[] |
|
|
680 | 682 | self.dataOut.velocityV=[] |
|
|
681 | 683 | |
|
|
682 | 684 | '''Block Reading, the Block Data is received and Reshape is used to give it |
|
|
683 | 685 | shape. |
|
|
684 | 686 | ''' |
|
|
685 | 687 | |
|
|
686 | 688 | #Procedure to take the pointer to where the date block starts |
|
|
687 | 689 | startDATA = open(self.fpFile,"rb") |
|
|
688 | 690 | OffDATA= self.OffsetStartHeader + self.RecCounter*self.Off2StartNxtRec+self.Off2StartData |
|
|
689 | 691 | startDATA.seek(OffDATA, os.SEEK_SET) |
|
|
690 | 692 | |
|
|
691 | 693 | def moving_average(x, N=2): |
|
|
692 | 694 | return numpy.convolve(x, numpy.ones((N,))/N)[(N-1):] |
|
|
693 | 695 | |
|
|
694 | 696 | def gaus(xSamples,a,x0,sigma): |
|
|
695 | 697 | return a*exp(-(xSamples-x0)**2/(2*sigma**2)) |
|
|
696 | 698 | |
|
|
697 | 699 | def Find(x,value): |
|
|
698 | 700 | for index in range(len(x)): |
|
|
699 | 701 | if x[index]==value: |
|
|
700 | 702 | return index |
|
|
701 | 703 | |
|
|
702 | 704 | def pol2cart(rho, phi): |
|
|
703 | 705 | x = rho * numpy.cos(phi) |
|
|
704 | 706 | y = rho * numpy.sin(phi) |
|
|
705 | 707 | return(x, y) |
|
|
706 | 708 | |
|
|
707 | 709 | |
|
|
708 | 710 | |
|
|
709 | 711 | |
|
|
710 | 712 | if self.DualModeIndex==self.ReadMode: |
|
|
711 | 713 | |
|
|
712 | 714 | self.data_fft = numpy.fromfile( startDATA, [('complex','<c8')],self.nProfiles*self.nChannels*self.nHeights ) |
|
|
713 | 715 | |
|
|
714 | 716 | self.data_fft=self.data_fft.astype(numpy.dtype('complex')) |
|
|
715 | 717 | |
|
|
716 | 718 | self.data_block=numpy.reshape(self.data_fft,(self.nHeights, self.nChannels, self.nProfiles )) |
|
|
717 | 719 | |
|
|
718 | 720 | self.data_block = numpy.transpose(self.data_block, (1,2,0)) |
|
|
719 | 721 | |
|
|
720 | ||
|
|
721 |
spc = |
|
|
|
722 | copy = self.data_block.copy() | |
|
|
723 | spc = copy * numpy.conjugate(copy) | |
|
|
722 | 724 | |
|
|
723 | 725 | self.data_spc = numpy.absolute(spc) # valor absoluto o magnitud |
|
|
724 | 726 | |
|
|
725 | 727 | factor = self.dataOut.normFactor |
|
|
726 | 728 | |
|
|
727 | 729 | |
|
|
728 | 730 | z = self.data_spc.copy()#/factor |
|
|
729 | 731 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
730 | 732 | #zdB = 10*numpy.log10(z) |
|
|
731 | 733 | print ' ' |
|
|
732 | 734 | print 'Z: ' |
|
|
733 | 735 | print shape(z) |
|
|
734 | 736 | print ' ' |
|
|
735 | 737 | print ' ' |
|
|
736 | 738 | |
|
|
737 | 739 | self.dataOut.data_spc=self.data_spc |
|
|
738 | 740 | |
|
|
739 | 741 | self.noise = self.dataOut.getNoise(ymin_index=80, ymax_index=132)#/factor |
|
|
740 | 742 | #noisedB = 10*numpy.log10(self.noise) |
|
|
741 | 743 | |
|
|
742 | 744 | |
|
|
743 | 745 | ySamples=numpy.ones([3,self.nProfiles]) |
|
|
744 | 746 | phase=numpy.ones([3,self.nProfiles]) |
|
|
745 | 747 | CSPCSamples=numpy.ones([3,self.nProfiles],dtype=numpy.complex_) |
|
|
746 | 748 | coherence=numpy.ones([3,self.nProfiles]) |
|
|
747 | 749 | PhaseSlope=numpy.ones(3) |
|
|
748 | 750 | PhaseInter=numpy.ones(3) |
|
|
749 | 751 | |
|
|
750 | 752 | '''****** Getting CrossSpectra ******''' |
|
|
751 | 753 | cspc=self.data_block.copy() |
|
|
752 | 754 | self.data_cspc=self.data_block.copy() |
|
|
753 | 755 | |
|
|
754 | 756 | xFrec=self.getVelRange(1) |
|
|
755 | 757 | VelRange=self.getVelRange(1) |
|
|
756 | 758 | self.dataOut.VelRange=VelRange |
|
|
757 | 759 | #print ' ' |
|
|
758 | 760 | #print ' ' |
|
|
759 | 761 | #print 'xFrec',xFrec |
|
|
760 | 762 | #print ' ' |
|
|
761 | 763 | #print ' ' |
|
|
762 | 764 | #Height=35 |
|
|
763 | 765 | for i in range(self.nRdPairs): |
|
|
764 | 766 | |
|
|
765 | 767 | chan_index0 = self.dataOut.pairsList[i][0] |
|
|
766 | 768 | chan_index1 = self.dataOut.pairsList[i][1] |
|
|
767 | 769 | |
|
|
768 | 770 | self.data_cspc[i,:,:]=cspc[chan_index0,:,:] * numpy.conjugate(cspc[chan_index1,:,:]) |
|
|
769 | 771 | |
|
|
770 | 772 | |
|
|
771 | 773 | '''Getting Eij and Nij''' |
|
|
772 | 774 | (AntennaX0,AntennaY0)=pol2cart(rheader.AntennaCoord0, rheader.AntennaAngl0*numpy.pi/180) |
|
|
773 | 775 | (AntennaX1,AntennaY1)=pol2cart(rheader.AntennaCoord1, rheader.AntennaAngl1*numpy.pi/180) |
|
|
774 | 776 | (AntennaX2,AntennaY2)=pol2cart(rheader.AntennaCoord2, rheader.AntennaAngl2*numpy.pi/180) |
|
|
775 | 777 | |
|
|
776 | 778 | E01=AntennaX0-AntennaX1 |
|
|
777 | 779 | N01=AntennaY0-AntennaY1 |
|
|
778 | 780 | |
|
|
779 | 781 | E02=AntennaX0-AntennaX2 |
|
|
780 | 782 | N02=AntennaY0-AntennaY2 |
|
|
781 | 783 | |
|
|
782 | 784 | E12=AntennaX1-AntennaX2 |
|
|
783 | 785 | N12=AntennaY1-AntennaY2 |
|
|
784 | 786 | |
|
|
785 | 787 | self.ChanDist= numpy.array([[E01, N01],[E02,N02],[E12,N12]]) |
|
|
786 | 788 | |
|
|
787 | 789 | self.dataOut.ChanDist = self.ChanDist |
|
|
788 | 790 | |
|
|
789 | 791 | |
|
|
790 | 792 | # for Height in range(self.nHeights): |
|
|
791 | 793 | # |
|
|
792 | 794 | # for i in range(self.nRdPairs): |
|
|
793 | 795 | # |
|
|
794 | 796 | # '''****** Line of Data SPC ******''' |
|
|
795 | 797 | # zline=z[i,:,Height] |
|
|
796 | 798 | # |
|
|
797 | 799 | # '''****** DC is removed ******''' |
|
|
798 | 800 | # DC=Find(zline,numpy.amax(zline)) |
|
|
799 | 801 | # zline[DC]=(zline[DC-1]+zline[DC+1])/2 |
|
|
800 | 802 | # |
|
|
801 | 803 | # |
|
|
802 | 804 | # '''****** SPC is normalized ******''' |
|
|
803 | 805 | # FactNorm= zline.copy() / numpy.sum(zline.copy()) |
|
|
804 | 806 | # FactNorm= FactNorm/numpy.sum(FactNorm) |
|
|
805 | 807 | # |
|
|
806 | 808 | # SmoothSPC=moving_average(FactNorm,N=3) |
|
|
807 | 809 | # |
|
|
808 | 810 | # xSamples = ar(range(len(SmoothSPC))) |
|
|
809 | 811 | # ySamples[i] = SmoothSPC-self.noise[i] |
|
|
810 | 812 | # |
|
|
811 | 813 | # for i in range(self.nRdPairs): |
|
|
812 | 814 | # |
|
|
813 | 815 | # '''****** Line of Data CSPC ******''' |
|
|
814 | 816 | # cspcLine=self.data_cspc[i,:,Height].copy() |
|
|
815 | 817 | # |
|
|
816 | 818 | # |
|
|
817 | 819 | # |
|
|
818 | 820 | # '''****** CSPC is normalized ******''' |
|
|
819 | 821 | # chan_index0 = self.dataOut.pairsList[i][0] |
|
|
820 | 822 | # chan_index1 = self.dataOut.pairsList[i][1] |
|
|
821 | 823 | # CSPCFactor= numpy.sum(ySamples[chan_index0]) * numpy.sum(ySamples[chan_index1]) |
|
|
822 | 824 | # |
|
|
823 | 825 | # |
|
|
824 | 826 | # CSPCNorm= cspcLine.copy() / numpy.sqrt(CSPCFactor) |
|
|
825 | 827 | # |
|
|
826 | 828 | # |
|
|
827 | 829 | # CSPCSamples[i] = CSPCNorm-self.noise[i] |
|
|
828 | 830 | # coherence[i] = numpy.abs(CSPCSamples[i]) / numpy.sqrt(CSPCFactor) |
|
|
829 | 831 | # |
|
|
830 | 832 | # '''****** DC is removed ******''' |
|
|
831 | 833 | # DC=Find(coherence[i],numpy.amax(coherence[i])) |
|
|
832 | 834 | # coherence[i][DC]=(coherence[i][DC-1]+coherence[i][DC+1])/2 |
|
|
833 | 835 | # coherence[i]= moving_average(coherence[i],N=2) |
|
|
834 | 836 | # |
|
|
835 | 837 | # phase[i] = moving_average( numpy.arctan2(CSPCSamples[i].imag, CSPCSamples[i].real),N=1)#*180/numpy.pi |
|
|
836 | 838 | # |
|
|
837 | 839 | # |
|
|
838 | 840 | # '''****** Getting fij width ******''' |
|
|
839 | 841 | # |
|
|
840 | 842 | # yMean=[] |
|
|
841 | 843 | # yMean2=[] |
|
|
842 | 844 | # |
|
|
843 | 845 | # for j in range(len(ySamples[1])): |
|
|
844 | 846 | # yMean=numpy.append(yMean,numpy.average([ySamples[0,j],ySamples[1,j],ySamples[2,j]])) |
|
|
845 | 847 | # |
|
|
846 | 848 | # '''******* Getting fitting Gaussian ******''' |
|
|
847 | 849 | # meanGauss=sum(xSamples*yMean) / len(xSamples) |
|
|
848 | 850 | # sigma=sum(yMean*(xSamples-meanGauss)**2) / len(xSamples) |
|
|
849 | 851 | # #print 'Height',Height,'SNR', meanGauss/sigma**2 |
|
|
850 | 852 | # |
|
|
851 | 853 | # if (abs(meanGauss/sigma**2) > 0.0001) : |
|
|
852 | 854 | # |
|
|
853 | 855 | # try: |
|
|
854 | 856 | # popt,pcov = curve_fit(gaus,xSamples,yMean,p0=[1,meanGauss,sigma]) |
|
|
855 | 857 | # |
|
|
856 | 858 | # if numpy.amax(popt)>numpy.amax(yMean)*0.3: |
|
|
857 | 859 | # FitGauss=gaus(xSamples,*popt) |
|
|
858 | 860 | # |
|
|
859 | 861 | # else: |
|
|
860 | 862 | # FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) |
|
|
861 | 863 | # print 'Verificador: Dentro', Height |
|
|
862 | 864 | # except RuntimeError: |
|
|
863 | 865 | # |
|
|
864 | 866 | # try: |
|
|
865 | 867 | # for j in range(len(ySamples[1])): |
|
|
866 | 868 | # yMean2=numpy.append(yMean2,numpy.average([ySamples[1,j],ySamples[2,j]])) |
|
|
867 | 869 | # popt,pcov = curve_fit(gaus,xSamples,yMean2,p0=[1,meanGauss,sigma]) |
|
|
868 | 870 | # FitGauss=gaus(xSamples,*popt) |
|
|
869 | 871 | # print 'Verificador: Exepcion1', Height |
|
|
870 | 872 | # except RuntimeError: |
|
|
871 | 873 | # |
|
|
872 | 874 | # try: |
|
|
873 | 875 | # popt,pcov = curve_fit(gaus,xSamples,ySamples[1],p0=[1,meanGauss,sigma]) |
|
|
874 | 876 | # FitGauss=gaus(xSamples,*popt) |
|
|
875 | 877 | # print 'Verificador: Exepcion2', Height |
|
|
876 | 878 | # except RuntimeError: |
|
|
877 | 879 | # FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) |
|
|
878 | 880 | # print 'Verificador: Exepcion3', Height |
|
|
879 | 881 | # else: |
|
|
880 | 882 | # FitGauss=numpy.ones(len(xSamples))*numpy.mean(yMean) |
|
|
881 | 883 | # #print 'Verificador: Fuera', Height |
|
|
882 | 884 | # |
|
|
883 | 885 | # |
|
|
884 | 886 | # |
|
|
885 | 887 | # Maximun=numpy.amax(yMean) |
|
|
886 | 888 | # eMinus1=Maximun*numpy.exp(-1) |
|
|
887 | 889 | # |
|
|
888 | 890 | # HWpos=Find(FitGauss,min(FitGauss, key=lambda value:abs(value-eMinus1))) |
|
|
889 | 891 | # HalfWidth= xFrec[HWpos] |
|
|
890 | 892 | # GCpos=Find(FitGauss, numpy.amax(FitGauss)) |
|
|
891 | 893 | # Vpos=Find(FactNorm, numpy.amax(FactNorm)) |
|
|
892 | 894 | # #Vpos=numpy.sum(FactNorm)/len(FactNorm) |
|
|
893 | 895 | # #Vpos=Find(FactNorm, min(FactNorm, key=lambda value:abs(value- numpy.mean(FactNorm) ))) |
|
|
894 | 896 | # #print 'GCpos',GCpos, numpy.amax(FitGauss), 'HWpos',HWpos |
|
|
895 | 897 | # '''****** Getting Fij ******''' |
|
|
896 | 898 | # |
|
|
897 | 899 | # GaussCenter=xFrec[GCpos] |
|
|
898 | 900 | # if (GaussCenter<0 and HalfWidth>0) or (GaussCenter>0 and HalfWidth<0): |
|
|
899 | 901 | # Fij=abs(GaussCenter)+abs(HalfWidth)+0.0000001 |
|
|
900 | 902 | # else: |
|
|
901 | 903 | # Fij=abs(GaussCenter-HalfWidth)+0.0000001 |
|
|
902 | 904 | # |
|
|
903 | 905 | # '''****** Getting Frecuency range of significant data ******''' |
|
|
904 | 906 | # |
|
|
905 | 907 | # Rangpos=Find(FitGauss,min(FitGauss, key=lambda value:abs(value-Maximun*0.10))) |
|
|
906 | 908 | # |
|
|
907 | 909 | # if Rangpos<GCpos: |
|
|
908 | 910 | # Range=numpy.array([Rangpos,2*GCpos-Rangpos]) |
|
|
909 | 911 | # else: |
|
|
910 | 912 | # Range=numpy.array([2*GCpos-Rangpos,Rangpos]) |
|
|
911 | 913 | # |
|
|
912 | 914 | # FrecRange=xFrec[Range[0]:Range[1]] |
|
|
913 | 915 | # |
|
|
914 | 916 | # #print 'FrecRange', FrecRange |
|
|
915 | 917 | # '''****** Getting SCPC Slope ******''' |
|
|
916 | 918 | # |
|
|
917 | 919 | # for i in range(self.nRdPairs): |
|
|
918 | 920 | # |
|
|
919 | 921 | # if len(FrecRange)>5 and len(FrecRange)<self.nProfiles*0.5: |
|
|
920 | 922 | # PhaseRange=moving_average(phase[i,Range[0]:Range[1]],N=3) |
|
|
921 | 923 | # |
|
|
922 | 924 | # slope, intercept, r_value, p_value, std_err = stats.linregress(FrecRange,PhaseRange) |
|
|
923 | 925 | # PhaseSlope[i]=slope |
|
|
924 | 926 | # PhaseInter[i]=intercept |
|
|
925 | 927 | # else: |
|
|
926 | 928 | # PhaseSlope[i]=0 |
|
|
927 | 929 | # PhaseInter[i]=0 |
|
|
928 | 930 | # |
|
|
929 | 931 | # # plt.figure(i+15) |
|
|
930 | 932 | # # plt.title('FASE ( CH%s*CH%s )' %(self.dataOut.pairsList[i][0],self.dataOut.pairsList[i][1])) |
|
|
931 | 933 | # # plt.xlabel('Frecuencia (KHz)') |
|
|
932 | 934 | # # plt.ylabel('Magnitud') |
|
|
933 | 935 | # # #plt.subplot(311+i) |
|
|
934 | 936 | # # plt.plot(FrecRange,PhaseRange,'b') |
|
|
935 | 937 | # # plt.plot(FrecRange,FrecRange*PhaseSlope[i]+PhaseInter[i],'r') |
|
|
936 | 938 | # |
|
|
937 | 939 | # #plt.axis([-0.6, 0.2, -3.2, 3.2]) |
|
|
938 | 940 | # |
|
|
939 | 941 | # |
|
|
940 | 942 | # '''Getting constant C''' |
|
|
941 | 943 | # cC=(Fij*numpy.pi)**2 |
|
|
942 | 944 | # |
|
|
943 | 945 | # # '''Getting Eij and Nij''' |
|
|
944 | 946 | # # (AntennaX0,AntennaY0)=pol2cart(rheader.AntennaCoord0, rheader.AntennaAngl0*numpy.pi/180) |
|
|
945 | 947 | # # (AntennaX1,AntennaY1)=pol2cart(rheader.AntennaCoord1, rheader.AntennaAngl1*numpy.pi/180) |
|
|
946 | 948 | # # (AntennaX2,AntennaY2)=pol2cart(rheader.AntennaCoord2, rheader.AntennaAngl2*numpy.pi/180) |
|
|
947 | 949 | # # |
|
|
948 | 950 | # # E01=AntennaX0-AntennaX1 |
|
|
949 | 951 | # # N01=AntennaY0-AntennaY1 |
|
|
950 | 952 | # # |
|
|
951 | 953 | # # E02=AntennaX0-AntennaX2 |
|
|
952 | 954 | # # N02=AntennaY0-AntennaY2 |
|
|
953 | 955 | # # |
|
|
954 | 956 | # # E12=AntennaX1-AntennaX2 |
|
|
955 | 957 | # # N12=AntennaY1-AntennaY2 |
|
|
956 | 958 | # |
|
|
957 | 959 | # '''****** Getting constants F and G ******''' |
|
|
958 | 960 | # MijEijNij=numpy.array([[E02,N02], [E12,N12]]) |
|
|
959 | 961 | # MijResult0=(-PhaseSlope[1]*cC) / (2*numpy.pi) |
|
|
960 | 962 | # MijResult1=(-PhaseSlope[2]*cC) / (2*numpy.pi) |
|
|
961 | 963 | # MijResults=numpy.array([MijResult0,MijResult1]) |
|
|
962 | 964 | # (cF,cG) = numpy.linalg.solve(MijEijNij, MijResults) |
|
|
963 | 965 | # |
|
|
964 | 966 | # '''****** Getting constants A, B and H ******''' |
|
|
965 | 967 | # W01=numpy.amax(coherence[0]) |
|
|
966 | 968 | # W02=numpy.amax(coherence[1]) |
|
|
967 | 969 | # W12=numpy.amax(coherence[2]) |
|
|
968 | 970 | # |
|
|
969 | 971 | # WijResult0=((cF*E01+cG*N01)**2)/cC - numpy.log(W01 / numpy.sqrt(numpy.pi/cC)) |
|
|
970 | 972 | # WijResult1=((cF*E02+cG*N02)**2)/cC - numpy.log(W02 / numpy.sqrt(numpy.pi/cC)) |
|
|
971 | 973 | # WijResult2=((cF*E12+cG*N12)**2)/cC - numpy.log(W12 / numpy.sqrt(numpy.pi/cC)) |
|
|
972 | 974 | # |
|
|
973 | 975 | # WijResults=numpy.array([WijResult0, WijResult1, WijResult2]) |
|
|
974 | 976 | # |
|
|
975 | 977 | # WijEijNij=numpy.array([ [E01**2, N01**2, 2*E01*N01] , [E02**2, N02**2, 2*E02*N02] , [E12**2, N12**2, 2*E12*N12] ]) |
|
|
976 | 978 | # (cA,cB,cH) = numpy.linalg.solve(WijEijNij, WijResults) |
|
|
977 | 979 | # |
|
|
978 | 980 | # VxVy=numpy.array([[cA,cH],[cH,cB]]) |
|
|
979 | 981 | # |
|
|
980 | 982 | # VxVyResults=numpy.array([-cF,-cG]) |
|
|
981 | 983 | # (Vx,Vy) = numpy.linalg.solve(VxVy, VxVyResults) |
|
|
982 | 984 | # Vzon = Vy |
|
|
983 | 985 | # Vmer = Vx |
|
|
984 | 986 | # Vmag=numpy.sqrt(Vzon**2+Vmer**2) |
|
|
985 | 987 | # Vang=numpy.arctan2(Vmer,Vzon) |
|
|
986 | 988 | # |
|
|
987 | 989 | # if abs(Vy)<100 and abs(Vy)> 0.: |
|
|
988 | 990 | # self.dataOut.velocityX=numpy.append(self.dataOut.velocityX, Vzon) #Vmag |
|
|
989 | 991 | # #print 'Vmag',Vmag |
|
|
990 | 992 | # else: |
|
|
991 | 993 | # self.dataOut.velocityX=numpy.append(self.dataOut.velocityX, NaN) |
|
|
992 | 994 | # |
|
|
993 | 995 | # if abs(Vx)<100 and abs(Vx) > 0.: |
|
|
994 | 996 | # self.dataOut.velocityY=numpy.append(self.dataOut.velocityY, Vmer) #Vang |
|
|
995 | 997 | # #print 'Vang',Vang |
|
|
996 | 998 | # else: |
|
|
997 | 999 | # self.dataOut.velocityY=numpy.append(self.dataOut.velocityY, NaN) |
|
|
998 | 1000 | # |
|
|
999 | 1001 | # if abs(GaussCenter)<2: |
|
|
1000 | 1002 | # self.dataOut.velocityV=numpy.append(self.dataOut.velocityV, xFrec[Vpos]) |
|
|
1001 | 1003 | # |
|
|
1002 | 1004 | # else: |
|
|
1003 | 1005 | # self.dataOut.velocityV=numpy.append(self.dataOut.velocityV, NaN) |
|
|
1004 | 1006 | # |
|
|
1005 | 1007 | # |
|
|
1006 | 1008 | # # print '********************************************' |
|
|
1007 | 1009 | # # print 'HalfWidth ', HalfWidth |
|
|
1008 | 1010 | # # print 'Maximun ', Maximun |
|
|
1009 | 1011 | # # print 'eMinus1 ', eMinus1 |
|
|
1010 | 1012 | # # print 'Rangpos ', Rangpos |
|
|
1011 | 1013 | # # print 'GaussCenter ',GaussCenter |
|
|
1012 | 1014 | # # print 'E01 ',E01 |
|
|
1013 | 1015 | # # print 'N01 ',N01 |
|
|
1014 | 1016 | # # print 'E02 ',E02 |
|
|
1015 | 1017 | # # print 'N02 ',N02 |
|
|
1016 | 1018 | # # print 'E12 ',E12 |
|
|
1017 | 1019 | # # print 'N12 ',N12 |
|
|
1018 | 1020 | # #print 'self.dataOut.velocityX ', self.dataOut.velocityX |
|
|
1019 | 1021 | # # print 'Fij ', Fij |
|
|
1020 | 1022 | # # print 'cC ', cC |
|
|
1021 | 1023 | # # print 'cF ', cF |
|
|
1022 | 1024 | # # print 'cG ', cG |
|
|
1023 | 1025 | # # print 'cA ', cA |
|
|
1024 | 1026 | # # print 'cB ', cB |
|
|
1025 | 1027 | # # print 'cH ', cH |
|
|
1026 | 1028 | # # print 'Vx ', Vx |
|
|
1027 | 1029 | # # print 'Vy ', Vy |
|
|
1028 | 1030 | # # print 'Vmag ', Vmag |
|
|
1029 | 1031 | # # print 'Vang ', Vang*180/numpy.pi |
|
|
1030 | 1032 | # # print 'PhaseSlope ',PhaseSlope[0] |
|
|
1031 | 1033 | # # print 'PhaseSlope ',PhaseSlope[1] |
|
|
1032 | 1034 | # # print 'PhaseSlope ',PhaseSlope[2] |
|
|
1033 | 1035 | # # print '********************************************' |
|
|
1034 | 1036 | # #print 'data_output',shape(self.dataOut.velocityX), shape(self.dataOut.velocityY) |
|
|
1035 | 1037 | # |
|
|
1036 | 1038 | # #print 'self.dataOut.velocityX', len(self.dataOut.velocityX) |
|
|
1037 | 1039 | # #print 'self.dataOut.velocityY', len(self.dataOut.velocityY) |
|
|
1038 | 1040 | # #print 'self.dataOut.velocityV', self.dataOut.velocityV |
|
|
1039 | 1041 | # |
|
|
1040 | 1042 | # self.data_output[0]=numpy.array(self.dataOut.velocityX) |
|
|
1041 | 1043 | # self.data_output[1]=numpy.array(self.dataOut.velocityY) |
|
|
1042 | 1044 | # self.data_output[2]=numpy.array(self.dataOut.velocityV) |
|
|
1043 | 1045 | # |
|
|
1044 | 1046 | # prin= self.data_output[0][~numpy.isnan(self.data_output[0])] |
|
|
1045 | 1047 | # print ' ' |
|
|
1046 | 1048 | # print 'VmagAverage',numpy.mean(prin) |
|
|
1047 | 1049 | # print ' ' |
|
|
1048 | 1050 | # # plt.figure(5) |
|
|
1049 | 1051 | # # plt.subplot(211) |
|
|
1050 | 1052 | # # plt.plot(self.dataOut.velocityX,'yo:') |
|
|
1051 | 1053 | # # plt.subplot(212) |
|
|
1052 | 1054 | # # plt.plot(self.dataOut.velocityY,'yo:') |
|
|
1053 | 1055 | # |
|
|
1054 | 1056 | # # plt.figure(1) |
|
|
1055 | 1057 | # # # plt.subplot(121) |
|
|
1056 | 1058 | # # # plt.plot(xFrec,ySamples[0],'k',label='Ch0') |
|
|
1057 | 1059 | # # # plt.plot(xFrec,ySamples[1],'g',label='Ch1') |
|
|
1058 | 1060 | # # # plt.plot(xFrec,ySamples[2],'r',label='Ch2') |
|
|
1059 | 1061 | # # # plt.plot(xFrec,FitGauss,'yo:',label='fit') |
|
|
1060 | 1062 | # # # plt.legend() |
|
|
1061 | 1063 | # # plt.title('DATOS A ALTURA DE 2850 METROS') |
|
|
1062 | 1064 | # # |
|
|
1063 | 1065 | # # plt.xlabel('Frecuencia (KHz)') |
|
|
1064 | 1066 | # # plt.ylabel('Magnitud') |
|
|
1065 | 1067 | # # # plt.subplot(122) |
|
|
1066 | 1068 | # # # plt.title('Fit for Time Constant') |
|
|
1067 | 1069 | # # #plt.plot(xFrec,zline) |
|
|
1068 | 1070 | # # #plt.plot(xFrec,SmoothSPC,'g') |
|
|
1069 | 1071 | # # plt.plot(xFrec,FactNorm) |
|
|
1070 | 1072 | # # plt.axis([-4, 4, 0, 0.15]) |
|
|
1071 | 1073 | # # # plt.xlabel('SelfSpectra KHz') |
|
|
1072 | 1074 | # # |
|
|
1073 | 1075 | # # plt.figure(10) |
|
|
1074 | 1076 | # # # plt.subplot(121) |
|
|
1075 | 1077 | # # plt.plot(xFrec,ySamples[0],'b',label='Ch0') |
|
|
1076 | 1078 | # # plt.plot(xFrec,ySamples[1],'y',label='Ch1') |
|
|
1077 | 1079 | # # plt.plot(xFrec,ySamples[2],'r',label='Ch2') |
|
|
1078 | 1080 | # # # plt.plot(xFrec,FitGauss,'yo:',label='fit') |
|
|
1079 | 1081 | # # plt.legend() |
|
|
1080 | 1082 | # # plt.title('SELFSPECTRA EN CANALES') |
|
|
1081 | 1083 | # # |
|
|
1082 | 1084 | # # plt.xlabel('Frecuencia (KHz)') |
|
|
1083 | 1085 | # # plt.ylabel('Magnitud') |
|
|
1084 | 1086 | # # # plt.subplot(122) |
|
|
1085 | 1087 | # # # plt.title('Fit for Time Constant') |
|
|
1086 | 1088 | # # #plt.plot(xFrec,zline) |
|
|
1087 | 1089 | # # #plt.plot(xFrec,SmoothSPC,'g') |
|
|
1088 | 1090 | # # # plt.plot(xFrec,FactNorm) |
|
|
1089 | 1091 | # # # plt.axis([-4, 4, 0, 0.15]) |
|
|
1090 | 1092 | # # # plt.xlabel('SelfSpectra KHz') |
|
|
1091 | 1093 | # # |
|
|
1092 | 1094 | # # plt.figure(9) |
|
|
1093 | 1095 | # # |
|
|
1094 | 1096 | # # |
|
|
1095 | 1097 | # # plt.title('DATOS SUAVIZADOS') |
|
|
1096 | 1098 | # # plt.xlabel('Frecuencia (KHz)') |
|
|
1097 | 1099 | # # plt.ylabel('Magnitud') |
|
|
1098 | 1100 | # # plt.plot(xFrec,SmoothSPC,'g') |
|
|
1099 | 1101 | # # |
|
|
1100 | 1102 | # # #plt.plot(xFrec,FactNorm) |
|
|
1101 | 1103 | # # plt.axis([-4, 4, 0, 0.15]) |
|
|
1102 | 1104 | # # # plt.xlabel('SelfSpectra KHz') |
|
|
1103 | 1105 | # # # |
|
|
1104 | 1106 | # # plt.figure(2) |
|
|
1105 | 1107 | # # # #plt.subplot(121) |
|
|
1106 | 1108 | # # plt.plot(xFrec,yMean,'r',label='Mean SelfSpectra') |
|
|
1107 | 1109 | # # plt.plot(xFrec,FitGauss,'yo:',label='Ajuste Gaussiano') |
|
|
1108 | 1110 | # # # plt.plot(xFrec[Rangpos],FitGauss[Find(FitGauss,min(FitGauss, key=lambda value:abs(value-Maximun*0.1)))],'bo') |
|
|
1109 | 1111 | # # # #plt.plot(xFrec,phase) |
|
|
1110 | 1112 | # # # plt.xlabel('Suavizado, promediado KHz') |
|
|
1111 | 1113 | # # plt.title('SELFSPECTRA PROMEDIADO') |
|
|
1112 | 1114 | # # # #plt.subplot(122) |
|
|
1113 | 1115 | # # # #plt.plot(xSamples,zline) |
|
|
1114 | 1116 | # # plt.xlabel('Frecuencia (KHz)') |
|
|
1115 | 1117 | # # plt.ylabel('Magnitud') |
|
|
1116 | 1118 | # # plt.legend() |
|
|
1117 | 1119 | # # # |
|
|
1118 | 1120 | # # # plt.figure(3) |
|
|
1119 | 1121 | # # # plt.subplot(311) |
|
|
1120 | 1122 | # # # #plt.plot(xFrec,phase[0]) |
|
|
1121 | 1123 | # # # plt.plot(xFrec,phase[0],'g') |
|
|
1122 | 1124 | # # # plt.subplot(312) |
|
|
1123 | 1125 | # # # plt.plot(xFrec,phase[1],'g') |
|
|
1124 | 1126 | # # # plt.subplot(313) |
|
|
1125 | 1127 | # # # plt.plot(xFrec,phase[2],'g') |
|
|
1126 | 1128 | # # # #plt.plot(xFrec,phase[2]) |
|
|
1127 | 1129 | # # # |
|
|
1128 | 1130 | # # # plt.figure(4) |
|
|
1129 | 1131 | # # # |
|
|
1130 | 1132 | # # # plt.plot(xSamples,coherence[0],'b') |
|
|
1131 | 1133 | # # # plt.plot(xSamples,coherence[1],'r') |
|
|
1132 | 1134 | # # # plt.plot(xSamples,coherence[2],'g') |
|
|
1133 | 1135 | # # plt.show() |
|
|
1134 | 1136 | # # # |
|
|
1135 | 1137 | # # # plt.clf() |
|
|
1136 | 1138 | # # # plt.cla() |
|
|
1137 | 1139 | # # # plt.close() |
|
|
1138 | 1140 | # |
|
|
1139 | 1141 | # print ' ' |
|
|
1140 | 1142 | |
|
|
1141 | 1143 | |
|
|
1142 | 1144 | |
|
|
1143 | 1145 | self.BlockCounter+=2 |
|
|
1144 | 1146 | |
|
|
1145 | 1147 | else: |
|
|
1146 | 1148 | self.fileSelector+=1 |
|
|
1147 | 1149 | self.BlockCounter=0 |
|
|
1148 | 1150 | print "Next File" |
|
|
1149 | 1151 | |
|
|
1150 | 1152 | |
|
|
1151 | 1153 | |
|
|
1152 | 1154 | class BLTRWriter(ProcessingUnit): |
|
|
1153 | 1155 | ''' |
|
|
1154 | 1156 | classdocs |
|
|
1155 | 1157 | ''' |
|
|
1156 | 1158 | |
|
|
1157 | 1159 | def __init__(self): |
|
|
1158 | 1160 | ''' |
|
|
1159 | 1161 | Constructor |
|
|
1160 | 1162 | ''' |
|
|
1161 | 1163 | self.dataOut = None |
|
|
1162 | 1164 | |
|
|
1163 | 1165 | self.isConfig = False |
|
|
1164 | 1166 | |
|
|
1165 | 1167 | def setup(self, dataIn, path, blocksPerFile, set=0, ext=None): |
|
|
1166 | 1168 | ''' |
|
|
1167 | 1169 | In this method we should set all initial parameters. |
|
|
1168 | 1170 | |
|
|
1169 | 1171 | Input: |
|
|
1170 | 1172 | dataIn : Input data will also be outputa data |
|
|
1171 | 1173 | |
|
|
1172 | 1174 | ''' |
|
|
1173 | 1175 | self.dataOut = dataIn |
|
|
1174 | 1176 | |
|
|
1175 | 1177 | self.isConfig = True |
|
|
1176 | 1178 | |
|
|
1177 | 1179 | return |
|
|
1178 | 1180 | |
|
|
1179 | 1181 | def run(self, dataIn, **kwargs): |
|
|
1180 | 1182 | ''' |
|
|
1181 | 1183 | This method will be called many times so here you should put all your code |
|
|
1182 | 1184 | |
|
|
1183 | 1185 | Inputs: |
|
|
1184 | 1186 | |
|
|
1185 | 1187 | dataIn : object with the data |
|
|
1186 | 1188 | |
|
|
1187 | 1189 | ''' |
|
|
1188 | 1190 | |
|
|
1189 | 1191 | if not self.isConfig: |
|
|
1190 | 1192 | self.setup(dataIn, **kwargs) |
|
|
1191 | 1193 | |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
| @@ -1,794 +1,804 | |||
|
|
1 | 1 | import os, sys |
|
|
2 | 2 | import glob |
|
|
3 | 3 | import fnmatch |
|
|
4 | 4 | import datetime |
|
|
5 | 5 | import time |
|
|
6 | 6 | import re |
|
|
7 | 7 | import h5py |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | import matplotlib.pyplot as plt |
|
|
10 | 10 | |
|
|
11 | 11 | import pylab as plb |
|
|
12 | 12 | from scipy.optimize import curve_fit |
|
|
13 | 13 | from scipy import asarray as ar,exp |
|
|
14 | 14 | from scipy import stats |
|
|
15 | 15 | |
|
|
16 | 16 | from duplicity.path import Path |
|
|
17 | 17 | from numpy.ma.core import getdata |
|
|
18 | 18 | |
|
|
19 | 19 | SPEED_OF_LIGHT = 299792458 |
|
|
20 | 20 | SPEED_OF_LIGHT = 3e8 |
|
|
21 | 21 | |
|
|
22 | 22 | try: |
|
|
23 | 23 | from gevent import sleep |
|
|
24 | 24 | except: |
|
|
25 | 25 | from time import sleep |
|
|
26 | 26 | |
|
|
27 | 27 | from schainpy.model.data.jrodata import Spectra |
|
|
28 | 28 | #from schainpy.model.data.BLTRheaderIO import FileHeader, RecordHeader |
|
|
29 | 29 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
30 | 30 | #from schainpy.model.io.jroIO_bltr import BLTRReader |
|
|
31 | 31 | from numpy import imag, shape, NaN, empty |
|
|
32 | 32 | |
|
|
33 | 33 | |
|
|
34 | 34 | |
|
|
35 | 35 | class Header(object): |
|
|
36 | 36 | |
|
|
37 | 37 | def __init__(self): |
|
|
38 | 38 | raise NotImplementedError |
|
|
39 | 39 | |
|
|
40 | 40 | |
|
|
41 | 41 | def read(self): |
|
|
42 | 42 | |
|
|
43 | 43 | raise NotImplementedError |
|
|
44 | 44 | |
|
|
45 | 45 | def write(self): |
|
|
46 | 46 | |
|
|
47 | 47 | raise NotImplementedError |
|
|
48 | 48 | |
|
|
49 | 49 | def printInfo(self): |
|
|
50 | 50 | |
|
|
51 | 51 | message = "#"*50 + "\n" |
|
|
52 | 52 | message += self.__class__.__name__.upper() + "\n" |
|
|
53 | 53 | message += "#"*50 + "\n" |
|
|
54 | 54 | |
|
|
55 | 55 | keyList = self.__dict__.keys() |
|
|
56 | 56 | keyList.sort() |
|
|
57 | 57 | |
|
|
58 | 58 | for key in keyList: |
|
|
59 | 59 | message += "%s = %s" %(key, self.__dict__[key]) + "\n" |
|
|
60 | 60 | |
|
|
61 | 61 | if "size" not in keyList: |
|
|
62 | 62 | attr = getattr(self, "size") |
|
|
63 | 63 | |
|
|
64 | 64 | if attr: |
|
|
65 | 65 | message += "%s = %s" %("size", attr) + "\n" |
|
|
66 | 66 | |
|
|
67 | 67 | #print message |
|
|
68 | 68 | |
|
|
69 | 69 | |
|
|
70 | 70 | FILE_HEADER = numpy.dtype([ #HEADER 1024bytes |
|
|
71 | 71 | ('Hname','a32'), #Original file name |
|
|
72 | 72 | ('Htime',numpy.str_,32), #Date and time when the file was created |
|
|
73 | 73 | ('Hoper',numpy.str_,64), #Name of operator who created the file |
|
|
74 | 74 | ('Hplace',numpy.str_,128), #Place where the measurements was carried out |
|
|
75 | 75 | ('Hdescr',numpy.str_,256), #Description of measurements |
|
|
76 | 76 | ('Hdummy',numpy.str_,512), #Reserved space |
|
|
77 | 77 | #Main chunk 8bytes |
|
|
78 | 78 | ('Msign',numpy.str_,4), #Main chunk signature FZKF or NUIG |
|
|
79 | 79 | ('MsizeData','<i4'), #Size of data block main chunk |
|
|
80 | 80 | #Processing DSP parameters 36bytes |
|
|
81 | 81 | ('PPARsign',numpy.str_,4), #PPAR signature |
|
|
82 | 82 | ('PPARsize','<i4'), #PPAR size of block |
|
|
83 | 83 | ('PPARprf','<i4'), #Pulse repetition frequency |
|
|
84 | 84 | ('PPARpdr','<i4'), #Pulse duration |
|
|
85 | 85 | ('PPARsft','<i4'), #FFT length |
|
|
86 | 86 | ('PPARavc','<i4'), #Number of spectral (in-coherent) averages |
|
|
87 | 87 | ('PPARihp','<i4'), #Number of lowest range gate for moment estimation |
|
|
88 | 88 | ('PPARchg','<i4'), #Count for gates for moment estimation |
|
|
89 | 89 | ('PPARpol','<i4'), #switch on/off polarimetric measurements. Should be 1. |
|
|
90 | 90 | #Service DSP parameters 112bytes |
|
|
91 | 91 | ('SPARatt','<i4'), #STC attenuation on the lowest ranges on/off |
|
|
92 | 92 | ('SPARtx','<i4'), #OBSOLETE |
|
|
93 | 93 | ('SPARaddGain0','<f4'), #OBSOLETE |
|
|
94 | 94 | ('SPARaddGain1','<f4'), #OBSOLETE |
|
|
95 | 95 | ('SPARwnd','<i4'), #Debug only. It normal mode it is 0. |
|
|
96 | 96 | ('SPARpos','<i4'), #Delay between sync pulse and tx pulse for phase corr, ns |
|
|
97 | 97 | ('SPARadd','<i4'), #"add to pulse" to compensate for delay between the leading edge of driver pulse and envelope of the RF signal. |
|
|
98 | 98 | ('SPARlen','<i4'), #Time for measuring txn pulse phase. OBSOLETE |
|
|
99 | 99 | ('SPARcal','<i4'), #OBSOLETE |
|
|
100 | 100 | ('SPARnos','<i4'), #OBSOLETE |
|
|
101 | 101 | ('SPARof0','<i4'), #detection threshold |
|
|
102 | 102 | ('SPARof1','<i4'), #OBSOLETE |
|
|
103 | 103 | ('SPARswt','<i4'), #2nd moment estimation threshold |
|
|
104 | 104 | ('SPARsum','<i4'), #OBSOLETE |
|
|
105 | 105 | ('SPARosc','<i4'), #flag Oscillosgram mode |
|
|
106 | 106 | ('SPARtst','<i4'), #OBSOLETE |
|
|
107 | 107 | ('SPARcor','<i4'), #OBSOLETE |
|
|
108 | 108 | ('SPARofs','<i4'), #OBSOLETE |
|
|
109 | 109 | ('SPARhsn','<i4'), #Hildebrand div noise detection on noise gate |
|
|
110 | 110 | ('SPARhsa','<f4'), #Hildebrand div noise detection on all gates |
|
|
111 | 111 | ('SPARcalibPow_M','<f4'), #OBSOLETE |
|
|
112 | 112 | ('SPARcalibSNR_M','<f4'), #OBSOLETE |
|
|
113 | 113 | ('SPARcalibPow_S','<f4'), #OBSOLETE |
|
|
114 | 114 | ('SPARcalibSNR_S','<f4'), #OBSOLETE |
|
|
115 | 115 | ('SPARrawGate1','<i4'), #Lowest range gate for spectra saving Raw_Gate1 >=5 |
|
|
116 | 116 | ('SPARrawGate2','<i4'), #Number of range gates with atmospheric signal |
|
|
117 | 117 | ('SPARraw','<i4'), #flag - IQ or spectra saving on/off |
|
|
118 | 118 | ('SPARprc','<i4'),]) #flag - Moment estimation switched on/off |
|
|
119 | 119 | |
|
|
120 | 120 | |
|
|
121 | 121 | |
|
|
122 | 122 | class FileHeaderMIRA35c(Header): |
|
|
123 | 123 | |
|
|
124 | 124 | def __init__(self): |
|
|
125 | 125 | |
|
|
126 | 126 | self.Hname= None |
|
|
127 | 127 | self.Htime= None |
|
|
128 | 128 | self.Hoper= None |
|
|
129 | 129 | self.Hplace= None |
|
|
130 | 130 | self.Hdescr= None |
|
|
131 | 131 | self.Hdummy= None |
|
|
132 | 132 | |
|
|
133 | 133 | self.Msign=None |
|
|
134 | 134 | self.MsizeData=None |
|
|
135 | 135 | |
|
|
136 | 136 | self.PPARsign=None |
|
|
137 | 137 | self.PPARsize=None |
|
|
138 | 138 | self.PPARprf=None |
|
|
139 | 139 | self.PPARpdr=None |
|
|
140 | 140 | self.PPARsft=None |
|
|
141 | 141 | self.PPARavc=None |
|
|
142 | 142 | self.PPARihp=None |
|
|
143 | 143 | self.PPARchg=None |
|
|
144 | 144 | self.PPARpol=None |
|
|
145 | 145 | #Service DSP parameters |
|
|
146 | 146 | self.SPARatt=None |
|
|
147 | 147 | self.SPARtx=None |
|
|
148 | 148 | self.SPARaddGain0=None |
|
|
149 | 149 | self.SPARaddGain1=None |
|
|
150 | 150 | self.SPARwnd=None |
|
|
151 | 151 | self.SPARpos=None |
|
|
152 | 152 | self.SPARadd=None |
|
|
153 | 153 | self.SPARlen=None |
|
|
154 | 154 | self.SPARcal=None |
|
|
155 | 155 | self.SPARnos=None |
|
|
156 | 156 | self.SPARof0=None |
|
|
157 | 157 | self.SPARof1=None |
|
|
158 | 158 | self.SPARswt=None |
|
|
159 | 159 | self.SPARsum=None |
|
|
160 | 160 | self.SPARosc=None |
|
|
161 | 161 | self.SPARtst=None |
|
|
162 | 162 | self.SPARcor=None |
|
|
163 | 163 | self.SPARofs=None |
|
|
164 | 164 | self.SPARhsn=None |
|
|
165 | 165 | self.SPARhsa=None |
|
|
166 | 166 | self.SPARcalibPow_M=None |
|
|
167 | 167 | self.SPARcalibSNR_M=None |
|
|
168 | 168 | self.SPARcalibPow_S=None |
|
|
169 | 169 | self.SPARcalibSNR_S=None |
|
|
170 | 170 | self.SPARrawGate1=None |
|
|
171 | 171 | self.SPARrawGate2=None |
|
|
172 | 172 | self.SPARraw=None |
|
|
173 | 173 | self.SPARprc=None |
|
|
174 | 174 | |
|
|
175 | 175 | self.FHsize=1180 |
|
|
176 | 176 | |
|
|
177 | 177 | def FHread(self, fp): |
|
|
178 | 178 | |
|
|
179 | 179 | header = numpy.fromfile(fp, FILE_HEADER,1) |
|
|
180 | 180 | ''' numpy.fromfile(file, dtype, count, sep='') |
|
|
181 | 181 | file : file or str |
|
|
182 | 182 | Open file object or filename. |
|
|
183 | 183 | |
|
|
184 | 184 | dtype : data-type |
|
|
185 | 185 | Data type of the returned array. For binary files, it is used to determine |
|
|
186 | 186 | the size and byte-order of the items in the file. |
|
|
187 | 187 | |
|
|
188 | 188 | count : int |
|
|
189 | 189 | Number of items to read. -1 means all items (i.e., the complete file). |
|
|
190 | 190 | |
|
|
191 | 191 | sep : str |
|
|
192 | 192 | Separator between items if file is a text file. Empty ("") separator means |
|
|
193 | 193 | the file should be treated as binary. Spaces (" ") in the separator match zero |
|
|
194 | 194 | or more whitespace characters. A separator consisting only of spaces must match |
|
|
195 | 195 | at least one whitespace. |
|
|
196 | 196 | |
|
|
197 | 197 | ''' |
|
|
198 | 198 | |
|
|
199 | 199 | |
|
|
200 | 200 | self.Hname= str(header['Hname'][0]) |
|
|
201 | 201 | self.Htime= str(header['Htime'][0]) |
|
|
202 | 202 | self.Hoper= str(header['Hoper'][0]) |
|
|
203 | 203 | self.Hplace= str(header['Hplace'][0]) |
|
|
204 | 204 | self.Hdescr= str(header['Hdescr'][0]) |
|
|
205 | 205 | self.Hdummy= str(header['Hdummy'][0]) |
|
|
206 | 206 | #1024 |
|
|
207 | 207 | |
|
|
208 | 208 | self.Msign=str(header['Msign'][0]) |
|
|
209 | 209 | self.MsizeData=header['MsizeData'][0] |
|
|
210 | 210 | #8 |
|
|
211 | 211 | |
|
|
212 | 212 | self.PPARsign=str(header['PPARsign'][0]) |
|
|
213 | 213 | self.PPARsize=header['PPARsize'][0] |
|
|
214 | 214 | self.PPARprf=header['PPARprf'][0] |
|
|
215 | 215 | self.PPARpdr=header['PPARpdr'][0] |
|
|
216 | 216 | self.PPARsft=header['PPARsft'][0] |
|
|
217 | 217 | self.PPARavc=header['PPARavc'][0] |
|
|
218 | 218 | self.PPARihp=header['PPARihp'][0] |
|
|
219 | 219 | self.PPARchg=header['PPARchg'][0] |
|
|
220 | 220 | self.PPARpol=header['PPARpol'][0] |
|
|
221 | 221 | #Service DSP parameters |
|
|
222 | 222 | #36 |
|
|
223 | 223 | |
|
|
224 | 224 | self.SPARatt=header['SPARatt'][0] |
|
|
225 | 225 | self.SPARtx=header['SPARtx'][0] |
|
|
226 | 226 | self.SPARaddGain0=header['SPARaddGain0'][0] |
|
|
227 | 227 | self.SPARaddGain1=header['SPARaddGain1'][0] |
|
|
228 | 228 | self.SPARwnd=header['SPARwnd'][0] |
|
|
229 | 229 | self.SPARpos=header['SPARpos'][0] |
|
|
230 | 230 | self.SPARadd=header['SPARadd'][0] |
|
|
231 | 231 | self.SPARlen=header['SPARlen'][0] |
|
|
232 | 232 | self.SPARcal=header['SPARcal'][0] |
|
|
233 | 233 | self.SPARnos=header['SPARnos'][0] |
|
|
234 | 234 | self.SPARof0=header['SPARof0'][0] |
|
|
235 | 235 | self.SPARof1=header['SPARof1'][0] |
|
|
236 | 236 | self.SPARswt=header['SPARswt'][0] |
|
|
237 | 237 | self.SPARsum=header['SPARsum'][0] |
|
|
238 | 238 | self.SPARosc=header['SPARosc'][0] |
|
|
239 | 239 | self.SPARtst=header['SPARtst'][0] |
|
|
240 | 240 | self.SPARcor=header['SPARcor'][0] |
|
|
241 | 241 | self.SPARofs=header['SPARofs'][0] |
|
|
242 | 242 | self.SPARhsn=header['SPARhsn'][0] |
|
|
243 | 243 | self.SPARhsa=header['SPARhsa'][0] |
|
|
244 | 244 | self.SPARcalibPow_M=header['SPARcalibPow_M'][0] |
|
|
245 | 245 | self.SPARcalibSNR_M=header['SPARcalibSNR_M'][0] |
|
|
246 | 246 | self.SPARcalibPow_S=header['SPARcalibPow_S'][0] |
|
|
247 | 247 | self.SPARcalibSNR_S=header['SPARcalibSNR_S'][0] |
|
|
248 | 248 | self.SPARrawGate1=header['SPARrawGate1'][0] |
|
|
249 | 249 | self.SPARrawGate2=header['SPARrawGate2'][0] |
|
|
250 | 250 | self.SPARraw=header['SPARraw'][0] |
|
|
251 | 251 | self.SPARprc=header['SPARprc'][0] |
|
|
252 | 252 | #112 |
|
|
253 | 253 | #1180 |
|
|
254 | 254 | #print 'Pointer fp header', fp.tell() |
|
|
255 | 255 | #print ' ' |
|
|
256 | 256 | #print 'SPARrawGate' |
|
|
257 | 257 | #print self.SPARrawGate2 - self.SPARrawGate1 |
|
|
258 | 258 | |
|
|
259 | 259 | #print ' ' |
|
|
260 | 260 | #print 'Hname' |
|
|
261 | 261 | #print self.Hname |
|
|
262 | 262 | |
|
|
263 | 263 | #print ' ' |
|
|
264 | 264 | #print 'Msign' |
|
|
265 | 265 | #print self.Msign |
|
|
266 | 266 | |
|
|
267 | 267 | def write(self, fp): |
|
|
268 | 268 | |
|
|
269 | 269 | headerTuple = (self.Hname, |
|
|
270 | 270 | self.Htime, |
|
|
271 | 271 | self.Hoper, |
|
|
272 | 272 | self.Hplace, |
|
|
273 | 273 | self.Hdescr, |
|
|
274 | 274 | self.Hdummy) |
|
|
275 | 275 | |
|
|
276 | 276 | |
|
|
277 | 277 | header = numpy.array(headerTuple, FILE_HEADER) |
|
|
278 | 278 | # numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) |
|
|
279 | 279 | header.tofile(fp) |
|
|
280 | 280 | ''' ndarray.tofile(fid, sep, format) Write array to a file as text or binary (default). |
|
|
281 | 281 | |
|
|
282 | 282 | fid : file or str |
|
|
283 | 283 | An open file object, or a string containing a filename. |
|
|
284 | 284 | |
|
|
285 | 285 | sep : str |
|
|
286 | 286 | Separator between array items for text output. If "" (empty), a binary file is written, |
|
|
287 | 287 | equivalent to file.write(a.tobytes()). |
|
|
288 | 288 | |
|
|
289 | 289 | format : str |
|
|
290 | 290 | Format string for text file output. Each entry in the array is formatted to text by |
|
|
291 | 291 | first converting it to the closest Python type, and then using "format" % item. |
|
|
292 | 292 | |
|
|
293 | 293 | ''' |
|
|
294 | 294 | |
|
|
295 | 295 | return 1 |
|
|
296 | 296 | |
|
|
297 | 297 | SRVI_HEADER = numpy.dtype([ |
|
|
298 | 298 | ('SignatureSRVI1',numpy.str_,4),# |
|
|
299 | 299 | ('SizeOfDataBlock1','<i4'),# |
|
|
300 | 300 | ('DataBlockTitleSRVI1',numpy.str_,4),# |
|
|
301 | 301 | ('SizeOfSRVI1','<i4'),])# |
|
|
302 | 302 | |
|
|
303 | 303 | class SRVIHeader(Header): |
|
|
304 | 304 | def __init__(self, SignatureSRVI1=0, SizeOfDataBlock1=0, DataBlockTitleSRVI1=0, SizeOfSRVI1=0): |
|
|
305 | 305 | |
|
|
306 | 306 | self.SignatureSRVI1 = SignatureSRVI1 |
|
|
307 | 307 | self.SizeOfDataBlock1 = SizeOfDataBlock1 |
|
|
308 | 308 | self.DataBlockTitleSRVI1 = DataBlockTitleSRVI1 |
|
|
309 | 309 | self.SizeOfSRVI1 = SizeOfSRVI1 |
|
|
310 | 310 | |
|
|
311 | 311 | self.SRVIHsize=16 |
|
|
312 | 312 | |
|
|
313 | 313 | def SRVIread(self, fp): |
|
|
314 | 314 | |
|
|
315 | 315 | header = numpy.fromfile(fp, SRVI_HEADER,1) |
|
|
316 | 316 | |
|
|
317 | 317 | self.SignatureSRVI1 = str(header['SignatureSRVI1'][0]) |
|
|
318 | 318 | self.SizeOfDataBlock1 = header['SizeOfDataBlock1'][0] |
|
|
319 | 319 | self.DataBlockTitleSRVI1 = str(header['DataBlockTitleSRVI1'][0]) |
|
|
320 | 320 | self.SizeOfSRVI1 = header['SizeOfSRVI1'][0] |
|
|
321 | 321 | #16 |
|
|
322 | 322 | print 'Pointer fp SRVIheader', fp.tell() |
|
|
323 | 323 | |
|
|
324 | 324 | |
|
|
325 | 325 | SRVI_STRUCTURE = numpy.dtype([ |
|
|
326 | 326 | ('frame_cnt','<u4'),# |
|
|
327 | 327 | ('time_t','<u4'), # |
|
|
328 | 328 | ('tpow','<f4'), # |
|
|
329 | 329 | ('npw1','<f4'), # |
|
|
330 | 330 | ('npw2','<f4'), # |
|
|
331 | 331 | ('cpw1','<f4'), # |
|
|
332 | 332 | ('pcw2','<f4'), # |
|
|
333 | 333 | ('ps_err','<u4'), # |
|
|
334 | 334 | ('te_err','<u4'), # |
|
|
335 | 335 | ('rc_err','<u4'), # |
|
|
336 | 336 | ('grs1','<u4'), # |
|
|
337 | 337 | ('grs2','<u4'), # |
|
|
338 | 338 | ('azipos','<f4'), # |
|
|
339 | 339 | ('azivel','<f4'), # |
|
|
340 | 340 | ('elvpos','<f4'), # |
|
|
341 | 341 | ('elvvel','<f4'), # |
|
|
342 | 342 | ('northAngle','<f4'), # |
|
|
343 | 343 | ('microsec','<u4'), # |
|
|
344 | 344 | ('azisetvel','<f4'), # |
|
|
345 | 345 | ('elvsetpos','<f4'), # |
|
|
346 | 346 | ('RadarConst','<f4'),]) # |
|
|
347 | 347 | |
|
|
348 | 348 | |
|
|
349 | 349 | |
|
|
350 | 350 | |
|
|
351 | 351 | class RecordHeader(Header): |
|
|
352 | 352 | |
|
|
353 | 353 | |
|
|
354 | 354 | def __init__(self, frame_cnt=0, time_t= 0, tpow=0, npw1=0, npw2=0, |
|
|
355 | 355 | cpw1=0, pcw2=0, ps_err=0, te_err=0, rc_err=0, grs1=0, |
|
|
356 | 356 | grs2=0, azipos=0, azivel=0, elvpos=0, elvvel=0, northangle=0, |
|
|
357 | 357 | microsec=0, azisetvel=0, elvsetpos=0, RadarConst=0 , RecCounter=0, Off2StartNxtRec=0): |
|
|
358 | 358 | |
|
|
359 | 359 | |
|
|
360 | 360 | self.frame_cnt = frame_cnt |
|
|
361 | 361 | self.dwell = time_t |
|
|
362 | 362 | self.tpow = tpow |
|
|
363 | 363 | self.npw1 = npw1 |
|
|
364 | 364 | self.npw2 = npw2 |
|
|
365 | 365 | self.cpw1 = cpw1 |
|
|
366 | 366 | self.pcw2 = pcw2 |
|
|
367 | 367 | self.ps_err = ps_err |
|
|
368 | 368 | self.te_err = te_err |
|
|
369 | 369 | self.rc_err = rc_err |
|
|
370 | 370 | self.grs1 = grs1 |
|
|
371 | 371 | self.grs2 = grs2 |
|
|
372 | 372 | self.azipos = azipos |
|
|
373 | 373 | self.azivel = azivel |
|
|
374 | 374 | self.elvpos = elvpos |
|
|
375 | 375 | self.elvvel = elvvel |
|
|
376 | 376 | self.northAngle = northangle |
|
|
377 | 377 | self.microsec = microsec |
|
|
378 | 378 | self.azisetvel = azisetvel |
|
|
379 | 379 | self.elvsetpos = elvsetpos |
|
|
380 | 380 | self.RadarConst = RadarConst |
|
|
381 | 381 | self.RHsize=84 |
|
|
382 | 382 | self.RecCounter = RecCounter |
|
|
383 | 383 | self.Off2StartNxtRec=Off2StartNxtRec |
|
|
384 | 384 | |
|
|
385 | 385 | def RHread(self, fp): |
|
|
386 | 386 | |
|
|
387 | 387 | #startFp = open(fp,"rb") #The method tell() returns the current position of the file read/write pointer within the file. |
|
|
388 | 388 | |
|
|
389 | 389 | #OffRHeader= 1180 + self.RecCounter*(self.Off2StartNxtRec) |
|
|
390 | 390 | #startFp.seek(OffRHeader, os.SEEK_SET) |
|
|
391 | 391 | |
|
|
392 | 392 | #print 'Posicion del bloque: ',OffRHeader |
|
|
393 | 393 | |
|
|
394 | 394 | header = numpy.fromfile(fp,SRVI_STRUCTURE,1) |
|
|
395 | 395 | |
|
|
396 | 396 | self.frame_cnt = header['frame_cnt'][0]# |
|
|
397 | 397 | self.time_t = header['time_t'][0] # |
|
|
398 | 398 | self.tpow = header['tpow'][0] # |
|
|
399 | 399 | self.npw1 = header['npw1'][0] # |
|
|
400 | 400 | self.npw2 = header['npw2'][0] # |
|
|
401 | 401 | self.cpw1 = header['cpw1'][0] # |
|
|
402 | 402 | self.pcw2 = header['pcw2'][0] # |
|
|
403 | 403 | self.ps_err = header['ps_err'][0] # |
|
|
404 | 404 | self.te_err = header['te_err'][0] # |
|
|
405 | 405 | self.rc_err = header['rc_err'][0] # |
|
|
406 | 406 | self.grs1 = header['grs1'][0] # |
|
|
407 | 407 | self.grs2 = header['grs2'][0] # |
|
|
408 | 408 | self.azipos = header['azipos'][0] # |
|
|
409 | 409 | self.azivel = header['azivel'][0] # |
|
|
410 | 410 | self.elvpos = header['elvpos'][0] # |
|
|
411 | 411 | self.elvvel = header['elvvel'][0] # |
|
|
412 | 412 | self.northAngle = header['northAngle'][0] # |
|
|
413 | 413 | self.microsec = header['microsec'][0] # |
|
|
414 | 414 | self.azisetvel = header['azisetvel'][0] # |
|
|
415 | 415 | self.elvsetpos = header['elvsetpos'][0] # |
|
|
416 | 416 | self.RadarConst = header['RadarConst'][0] # |
|
|
417 | 417 | #84 |
|
|
418 | 418 | |
|
|
419 | print 'Pointer fp RECheader', fp.tell() | |
|
|
419 | #print 'Pointer fp RECheader', fp.tell() | |
|
|
420 | 420 | |
|
|
421 | 421 | #self.ipp= 0.5*(SPEED_OF_LIGHT/self.PRFhz) |
|
|
422 | 422 | |
|
|
423 | 423 | #self.RHsize = 180+20*self.nChannels |
|
|
424 | 424 | #self.Datasize= self.nProfiles*self.nChannels*self.nHeights*2*4 |
|
|
425 | 425 | #print 'Datasize',self.Datasize |
|
|
426 | 426 | #endFp = self.OffsetStartHeader + self.RecCounter*self.Off2StartNxtRec |
|
|
427 | 427 | |
|
|
428 | 428 | print '==============================================' |
|
|
429 | 429 | |
|
|
430 | 430 | print '==============================================' |
|
|
431 | 431 | |
|
|
432 | 432 | |
|
|
433 | 433 | return 1 |
|
|
434 | 434 | |
|
|
435 | 435 | class MIRA35CReader (ProcessingUnit,FileHeaderMIRA35c,SRVIHeader,RecordHeader): |
|
|
436 | 436 | |
|
|
437 | 437 | path = None |
|
|
438 | 438 | startDate = None |
|
|
439 | 439 | endDate = None |
|
|
440 | 440 | startTime = None |
|
|
441 | 441 | endTime = None |
|
|
442 | 442 | walk = None |
|
|
443 | 443 | isConfig = False |
|
|
444 | 444 | |
|
|
445 | 445 | |
|
|
446 | 446 | fileList= None |
|
|
447 | 447 | |
|
|
448 | 448 | #metadata |
|
|
449 | 449 | TimeZone= None |
|
|
450 | 450 | Interval= None |
|
|
451 | 451 | heightList= None |
|
|
452 | 452 | |
|
|
453 | 453 | #data |
|
|
454 | 454 | data= None |
|
|
455 | 455 | utctime= None |
|
|
456 | 456 | |
|
|
457 | 457 | |
|
|
458 | 458 | |
|
|
459 | def __init__(self): | |
|
|
459 | def __init__(self, **kwargs): | |
|
|
460 | 460 | |
|
|
461 | 461 | #Eliminar de la base la herencia |
|
|
462 | ProcessingUnit.__init__(self) | |
|
|
462 | ProcessingUnit.__init__(self, **kwargs) | |
|
|
463 | 463 | self.PointerReader = 0 |
|
|
464 | 464 | self.FileHeaderFlag = False |
|
|
465 | 465 | self.utc = None |
|
|
466 | 466 | self.ext = ".zspca" |
|
|
467 | 467 | self.optchar = "P" |
|
|
468 | 468 | self.fpFile=None |
|
|
469 | 469 | self.fp = None |
|
|
470 | 470 | self.BlockCounter=0 |
|
|
471 | 471 | self.dtype = None |
|
|
472 | 472 | self.fileSizeByHeader = None |
|
|
473 | 473 | self.filenameList = [] |
|
|
474 | 474 | self.fileSelector = 0 |
|
|
475 | 475 | self.Off2StartNxtRec=0 |
|
|
476 | 476 | self.RecCounter=0 |
|
|
477 | 477 | self.flagNoMoreFiles = 0 |
|
|
478 | 478 | self.data_spc=None |
|
|
479 | 479 | #self.data_cspc=None |
|
|
480 | 480 | self.data_output=None |
|
|
481 | 481 | self.path = None |
|
|
482 | 482 | self.OffsetStartHeader=0 |
|
|
483 | 483 | self.Off2StartData=0 |
|
|
484 | 484 | self.ipp = 0 |
|
|
485 | 485 | self.nFDTdataRecors=0 |
|
|
486 | 486 | self.blocksize = 0 |
|
|
487 | 487 | self.dataOut = Spectra() |
|
|
488 | 488 | self.profileIndex = 1 #Always |
|
|
489 | 489 | self.dataOut.flagNoData=False |
|
|
490 | 490 | self.dataOut.nRdPairs = 0 |
|
|
491 | 491 | self.dataOut.pairsList = [] |
|
|
492 | 492 | self.dataOut.data_spc=None |
|
|
493 | self.dataOut.noise=[] | |
|
|
493 | ||
|
|
494 | 494 | self.dataOut.normFactor=1 |
|
|
495 | 495 | self.nextfileflag = True |
|
|
496 | 496 | self.dataOut.RadarConst = 0 |
|
|
497 | 497 | self.dataOut.HSDV = [] |
|
|
498 | 498 | self.dataOut.NPW = [] |
|
|
499 | 499 | self.dataOut.COFA = [] |
|
|
500 | self.dataOut.noise = 0 | |
|
|
500 | 501 | |
|
|
501 | 502 | |
|
|
502 | 503 | def Files2Read(self, fp): |
|
|
503 | 504 | ''' |
|
|
504 | 505 | Function that indicates the number of .fdt files that exist in the folder to be read. |
|
|
505 | 506 | It also creates an organized list with the names of the files to read. |
|
|
506 | 507 | ''' |
|
|
507 | 508 | #self.__checkPath() |
|
|
508 | 509 | |
|
|
509 | 510 | ListaData=os.listdir(fp) #Gets the list of files within the fp address |
|
|
510 | 511 | ListaData=sorted(ListaData) #Sort the list of files from least to largest by names |
|
|
511 | 512 | nFiles=0 #File Counter |
|
|
512 | 513 | FileList=[] #A list is created that will contain the .fdt files |
|
|
513 | 514 | for IndexFile in ListaData : |
|
|
514 | 515 | if '.zspca' in IndexFile and '.gz' not in IndexFile: |
|
|
515 | 516 | FileList.append(IndexFile) |
|
|
516 | 517 | nFiles+=1 |
|
|
517 | 518 | |
|
|
518 | 519 | #print 'Files2Read' |
|
|
519 | 520 | #print 'Existen '+str(nFiles)+' archivos .fdt' |
|
|
520 | 521 | |
|
|
521 | 522 | self.filenameList=FileList #List of files from least to largest by names |
|
|
522 | 523 | |
|
|
523 | 524 | |
|
|
524 | 525 | def run(self, **kwargs): |
|
|
525 | 526 | ''' |
|
|
526 | 527 | This method will be the one that will initiate the data entry, will be called constantly. |
|
|
527 | 528 | You should first verify that your Setup () is set up and then continue to acquire |
|
|
528 | 529 | the data to be processed with getData (). |
|
|
529 | 530 | ''' |
|
|
530 | 531 | if not self.isConfig: |
|
|
531 | 532 | self.setup(**kwargs) |
|
|
532 | 533 | self.isConfig = True |
|
|
533 | 534 | |
|
|
534 | 535 | self.getData() |
|
|
535 | 536 | |
|
|
536 | 537 | |
|
|
537 | 538 | def setup(self, path=None, |
|
|
538 | 539 | startDate=None, |
|
|
539 | 540 | endDate=None, |
|
|
540 | 541 | startTime=None, |
|
|
541 | 542 | endTime=None, |
|
|
542 | 543 | walk=True, |
|
|
543 | 544 | timezone='utc', |
|
|
544 | 545 | code = None, |
|
|
545 | 546 | online=False, |
|
|
546 | ReadMode=None): | |
|
|
547 | ReadMode=None, **kwargs): | |
|
|
547 | 548 | |
|
|
548 | 549 | self.isConfig = True |
|
|
549 | 550 | |
|
|
550 | 551 | self.path=path |
|
|
551 | 552 | self.startDate=startDate |
|
|
552 | 553 | self.endDate=endDate |
|
|
553 | 554 | self.startTime=startTime |
|
|
554 | 555 | self.endTime=endTime |
|
|
555 | 556 | self.walk=walk |
|
|
556 | self.ReadMode=int(ReadMode) | |
|
|
557 | #self.ReadMode=int(ReadMode) | |
|
|
557 | 558 | |
|
|
558 | 559 | pass |
|
|
559 | 560 | |
|
|
560 | 561 | |
|
|
561 | 562 | def getData(self): |
|
|
562 | 563 | ''' |
|
|
563 | 564 | Before starting this function, you should check that there is still an unread file, |
|
|
564 | 565 | If there are still blocks to read or if the data block is empty. |
|
|
565 | 566 | |
|
|
566 | 567 | You should call the file "read". |
|
|
567 | 568 | |
|
|
568 | 569 | ''' |
|
|
569 | 570 | |
|
|
570 | 571 | if self.flagNoMoreFiles: |
|
|
571 | 572 | self.dataOut.flagNoData = True |
|
|
572 | 573 | print 'NoData se vuelve true' |
|
|
573 | 574 | return 0 |
|
|
574 | 575 | |
|
|
575 | 576 | self.fp=self.path |
|
|
576 | 577 | self.Files2Read(self.fp) |
|
|
577 | 578 | self.readFile(self.fp) |
|
|
578 | 579 | |
|
|
579 | self.dataOut.data_spc = self.data_spc.copy() | |
|
|
580 | self.dataOut.data_spc = self.dataOut_spc#self.data_spc.copy() | |
|
|
580 | 581 | self.dataOut.RadarConst = self.RadarConst |
|
|
581 | 582 | self.dataOut.data_output=self.data_output |
|
|
583 | self.dataOut.noise = self.dataOut.getNoise() | |
|
|
584 | #print 'ACAAAAAA', self.dataOut.noise | |
|
|
585 | self.dataOut.data_spc = self.dataOut.data_spc+self.dataOut.noise | |
|
|
586 | #print 'self.dataOut.noise',self.dataOut.noise | |
|
|
582 | 587 | |
|
|
583 | 588 | |
|
|
584 | 589 | return self.dataOut.data_spc |
|
|
585 | 590 | |
|
|
586 | 591 | |
|
|
587 | 592 | def readFile(self,fp): |
|
|
588 | 593 | ''' |
|
|
589 | 594 | You must indicate if you are reading in Online or Offline mode and load the |
|
|
590 | 595 | The parameters for this file reading mode. |
|
|
591 | 596 | |
|
|
592 | 597 | Then you must do 2 actions: |
|
|
593 | 598 | |
|
|
594 | 599 | 1. Get the BLTR FileHeader. |
|
|
595 | 600 | 2. Start reading the first block. |
|
|
596 | 601 | ''' |
|
|
597 | 602 | |
|
|
598 | 603 | #The address of the folder is generated the name of the .fdt file that will be read |
|
|
599 | 604 | print "File: ",self.fileSelector+1 |
|
|
600 | 605 | |
|
|
601 | 606 | if self.fileSelector < len(self.filenameList): |
|
|
602 | 607 | |
|
|
603 | 608 | self.fpFile=str(fp)+'/'+str(self.filenameList[self.fileSelector]) |
|
|
604 | 609 | |
|
|
605 | 610 | if self.nextfileflag==True: |
|
|
606 | 611 | self.fp = open(self.fpFile,"rb") |
|
|
607 | 612 | self.nextfileflag==False |
|
|
608 | 613 | |
|
|
609 | 614 | '''HERE STARTING THE FILE READING''' |
|
|
610 | 615 | |
|
|
611 | 616 | |
|
|
612 | 617 | self.fheader = FileHeaderMIRA35c() |
|
|
613 | 618 | self.fheader.FHread(self.fp) #Bltr FileHeader Reading |
|
|
614 | 619 | |
|
|
615 | 620 | |
|
|
616 | 621 | self.SPARrawGate1 = self.fheader.SPARrawGate1 |
|
|
617 | 622 | self.SPARrawGate2 = self.fheader.SPARrawGate2 |
|
|
618 | 623 | self.Num_Hei = self.SPARrawGate2 - self.SPARrawGate1 |
|
|
619 | 624 | self.Num_Bins = self.fheader.PPARsft |
|
|
620 | 625 | self.dataOut.nFFTPoints = self.fheader.PPARsft |
|
|
621 | 626 | |
|
|
622 | 627 | |
|
|
623 | 628 | self.Num_inCoh = self.fheader.PPARavc |
|
|
624 | 629 | self.dataOut.PRF = self.fheader.PPARprf |
|
|
625 | 630 | self.dataOut.frequency = 34.85*10**9 |
|
|
626 | 631 | self.Lambda = SPEED_OF_LIGHT/self.dataOut.frequency |
|
|
627 | 632 | self.dataOut.ippSeconds= 1./float(self.dataOut.PRF) |
|
|
628 | 633 | |
|
|
629 | 634 | pulse_width = self.fheader.PPARpdr * 10**-9 |
|
|
630 | 635 | self.__deltaHeigth = 0.5 * SPEED_OF_LIGHT * pulse_width |
|
|
631 | 636 | |
|
|
632 | self.data_spc = numpy.zeros((self.Num_Hei, self.Num_Bins,2)) | |
|
|
637 | self.data_spc = numpy.zeros((self.Num_Hei, self.Num_Bins,2))# | |
|
|
633 | 638 | self.dataOut.HSDV = numpy.zeros((self.Num_Hei, 2)) |
|
|
634 | 639 | |
|
|
635 | 640 | self.Ze = numpy.zeros(self.Num_Hei) |
|
|
636 | 641 | self.ETA = numpy.zeros(([2,self.Num_Hei])) |
|
|
637 | 642 | |
|
|
638 | 643 | |
|
|
639 | 644 | |
|
|
640 | 645 | self.readBlock() #Block reading |
|
|
641 | 646 | |
|
|
642 | 647 | else: |
|
|
643 | 648 | print 'readFile FlagNoData becomes true' |
|
|
644 | 649 | self.flagNoMoreFiles=True |
|
|
645 | 650 | self.dataOut.flagNoData = True |
|
|
646 | 651 | self.FileHeaderFlag == True |
|
|
647 | 652 | return 0 |
|
|
648 | 653 | |
|
|
649 | 654 | |
|
|
650 | 655 | |
|
|
651 | 656 | def readBlock(self): |
|
|
652 | 657 | ''' |
|
|
653 | 658 | It should be checked if the block has data, if it is not passed to the next file. |
|
|
654 | 659 | |
|
|
655 | 660 | Then the following is done: |
|
|
656 | 661 | |
|
|
657 | 662 | 1. Read the RecordHeader |
|
|
658 | 663 | 2. Fill the buffer with the current block number. |
|
|
659 | 664 | |
|
|
660 | 665 | ''' |
|
|
661 | 666 | |
|
|
662 | 667 | if self.PointerReader > 1180: |
|
|
663 | 668 | self.fp.seek(self.PointerReader , os.SEEK_SET) |
|
|
664 | 669 | self.FirstPoint = self.PointerReader |
|
|
665 | 670 | |
|
|
666 | 671 | else : |
|
|
667 | 672 | self.FirstPoint = 1180 |
|
|
668 | 673 | |
|
|
669 | 674 | |
|
|
670 | 675 | |
|
|
671 | 676 | self.srviHeader = SRVIHeader() |
|
|
672 | 677 | |
|
|
673 | 678 | self.srviHeader.SRVIread(self.fp) #Se obtiene la cabecera del SRVI |
|
|
674 | 679 | |
|
|
675 | 680 | self.blocksize = self.srviHeader.SizeOfDataBlock1 # Se obtiene el tamao del bloque |
|
|
676 | 681 | |
|
|
677 | 682 | if self.blocksize == 148: |
|
|
678 | 683 | print 'blocksize == 148 bug' |
|
|
679 | 684 | jump = numpy.fromfile(self.fp,[('jump',numpy.str_,140)] ,1) |
|
|
680 | 685 | |
|
|
681 | 686 | self.srviHeader.SRVIread(self.fp) #Se obtiene la cabecera del SRVI |
|
|
682 | 687 | |
|
|
683 | 688 | if not self.srviHeader.SizeOfSRVI1: |
|
|
684 | 689 | self.fileSelector+=1 |
|
|
685 | 690 | self.nextfileflag==True |
|
|
686 | 691 | self.FileHeaderFlag == True |
|
|
687 | 692 | |
|
|
688 | 693 | self.recordheader = RecordHeader() |
|
|
689 | 694 | self.recordheader.RHread(self.fp) |
|
|
690 | 695 | self.RadarConst = self.recordheader.RadarConst |
|
|
691 | 696 | dwell = self.recordheader.time_t |
|
|
692 | 697 | npw1 = self.recordheader.npw1 |
|
|
693 | 698 | npw2 = self.recordheader.npw2 |
|
|
694 | 699 | |
|
|
695 | 700 | |
|
|
696 |
self.dataOut.channelList = range( |
|
|
|
701 | self.dataOut.channelList = range(1) | |
|
|
697 | 702 | self.dataOut.nIncohInt = self.Num_inCoh |
|
|
698 | 703 | self.dataOut.nProfiles = self.Num_Bins |
|
|
699 | 704 | self.dataOut.nCohInt = 1 |
|
|
700 | 705 | self.dataOut.windowOfFilter = 1 |
|
|
701 | 706 | self.dataOut.utctime = dwell |
|
|
702 | 707 | self.dataOut.timeZone=0 |
|
|
703 | 708 | |
|
|
704 | 709 | self.dataOut.outputInterval = self.dataOut.getTimeInterval() |
|
|
705 | 710 | self.dataOut.heightList = self.SPARrawGate1*self.__deltaHeigth + numpy.array(range(self.Num_Hei))*self.__deltaHeigth |
|
|
706 | 711 | |
|
|
707 | 712 | |
|
|
708 | 713 | |
|
|
709 | 714 | self.HSDVsign = numpy.fromfile( self.fp, [('HSDV',numpy.str_,4)],1) |
|
|
710 | 715 | self.SizeHSDV = numpy.fromfile( self.fp, [('SizeHSDV','<i4')],1) |
|
|
711 | 716 | self.HSDV_Co = numpy.fromfile( self.fp, [('HSDV_Co','<f4')],self.Num_Hei) |
|
|
712 | 717 | self.HSDV_Cx = numpy.fromfile( self.fp, [('HSDV_Cx','<f4')],self.Num_Hei) |
|
|
713 | 718 | |
|
|
714 | 719 | self.COFAsign = numpy.fromfile( self.fp, [('COFA',numpy.str_,4)],1) |
|
|
715 | 720 | self.SizeCOFA = numpy.fromfile( self.fp, [('SizeCOFA','<i4')],1) |
|
|
716 | 721 | self.COFA_Co = numpy.fromfile( self.fp, [('COFA_Co','<f4')],self.Num_Hei) |
|
|
717 | 722 | self.COFA_Cx = numpy.fromfile( self.fp, [('COFA_Cx','<f4')],self.Num_Hei) |
|
|
718 | 723 | |
|
|
719 | 724 | self.ZSPCsign = numpy.fromfile(self.fp, [('ZSPCsign',numpy.str_,4)],1) |
|
|
720 | 725 | self.SizeZSPC = numpy.fromfile(self.fp, [('SizeZSPC','<i4')],1) |
|
|
721 | 726 | |
|
|
722 | 727 | self.dataOut.HSDV[0]=self.HSDV_Co[:][0] |
|
|
723 | 728 | self.dataOut.HSDV[1]=self.HSDV_Cx[:][0] |
|
|
724 | 729 | |
|
|
725 | 730 | for irg in range(self.Num_Hei): |
|
|
726 | 731 | nspc = numpy.fromfile(self.fp, [('nspc','int16')],1)[0][0] # Number of spectral sub pieces containing significant power |
|
|
727 | 732 | |
|
|
728 | 733 | for k in range(nspc): |
|
|
729 | 734 | binIndex = numpy.fromfile(self.fp, [('binIndex','int16')],1)[0][0] # Index of the spectral bin where the piece is beginning |
|
|
730 | 735 | nbins = numpy.fromfile(self.fp, [('nbins','int16')],1)[0][0] # Number of bins of the piece |
|
|
731 | 736 | |
|
|
732 | 737 | #Co_Channel |
|
|
733 | 738 | jbin = numpy.fromfile(self.fp, [('jbin','uint16')],nbins)[0][0] # Spectrum piece to be normaliced |
|
|
734 | 739 | jmax = numpy.fromfile(self.fp, [('jmax','float32')],1)[0][0] # Maximun piece to be normaliced |
|
|
735 | 740 | |
|
|
736 | 741 | |
|
|
737 | 742 | self.data_spc[irg,binIndex:binIndex+nbins,0] = self.data_spc[irg,binIndex:binIndex+nbins,0]+jbin/65530.*jmax |
|
|
738 | 743 | |
|
|
739 | 744 | #Cx_Channel |
|
|
740 | 745 | jbin = numpy.fromfile(self.fp, [('jbin','uint16')],nbins)[0][0] |
|
|
741 | 746 | jmax = numpy.fromfile(self.fp, [('jmax','float32')],1)[0][0] |
|
|
742 | 747 | |
|
|
743 | 748 | |
|
|
744 | 749 | self.data_spc[irg,binIndex:binIndex+nbins,1] = self.data_spc[irg,binIndex:binIndex+nbins,1]+jbin/65530.*jmax |
|
|
745 | 750 | |
|
|
746 | 751 | for bin in range(self.Num_Bins): |
|
|
747 | 752 | |
|
|
748 | 753 | self.data_spc[:,bin,0] = self.data_spc[:,bin,0] - self.dataOut.HSDV[:,0] |
|
|
749 | 754 | |
|
|
750 | 755 | self.data_spc[:,bin,1] = self.data_spc[:,bin,1] - self.dataOut.HSDV[:,1] |
|
|
751 | 756 | |
|
|
752 | 757 | |
|
|
753 | 758 | numpy.set_printoptions(threshold='nan') |
|
|
754 | 759 | |
|
|
755 | 760 | self.data_spc = numpy.where(self.data_spc > 0. , self.data_spc, 0) |
|
|
756 | 761 | |
|
|
757 | 762 | self.dataOut.COFA = numpy.array([self.COFA_Co , self.COFA_Cx]) |
|
|
758 | 763 | |
|
|
759 | ||
|
|
760 | 764 | print ' ' |
|
|
761 | 765 | print 'SPC',numpy.shape(self.dataOut.data_spc) |
|
|
762 | 766 | #print 'SPC',self.dataOut.data_spc |
|
|
763 | 767 | |
|
|
764 | 768 | noinor1 = 713031680 |
|
|
765 | 769 | noinor2 = 30 |
|
|
766 | 770 | |
|
|
767 | #print 'npw1 db' , npw1 | |
|
|
768 | ||
|
|
769 | npw1 = 10**(npw1/10) * noinor1 * noinor2 | |
|
|
770 | npw2 = 10**(npw2/10) * noinor1 * noinor2 | |
|
|
771 | npw1 = 1#0**(npw1/10) * noinor1 * noinor2 | |
|
|
772 | npw2 = 1#0**(npw2/10) * noinor1 * noinor2 | |
|
|
771 | 773 | self.dataOut.NPW = numpy.array([npw1, npw2]) |
|
|
772 | 774 | |
|
|
773 | ||
|
|
774 | 775 | print ' ' |
|
|
775 | #print numpy.__version__ | |
|
|
776 | ||
|
|
776 | 777 | self.data_spc = numpy.transpose(self.data_spc, (2,1,0)) |
|
|
777 | 778 | self.data_spc = numpy.fft.fftshift(self.data_spc, axes = 1) |
|
|
778 | 779 | |
|
|
779 | 780 | self.data_spc = numpy.fliplr(self.data_spc) |
|
|
780 | 781 | |
|
|
782 | self.data_spc = numpy.where(self.data_spc > 0. , self.data_spc, 0) | |
|
|
783 | self.dataOut_spc= numpy.ones([1, self.Num_Bins , self.Num_Hei]) | |
|
|
784 | self.dataOut_spc[0,:,:] = self.data_spc[0,:,:] | |
|
|
785 | #print 'SHAPE', self.dataOut_spc.shape | |
|
|
786 | #For nyquist correction: | |
|
|
787 | #fix = 20 # ~3m/s | |
|
|
788 | #shift = self.Num_Bins/2 + fix | |
|
|
789 | #self.data_spc = numpy.array([ self.data_spc[: , self.Num_Bins-shift+1: , :] , self.data_spc[: , 0:self.Num_Bins-shift , :]]) | |
|
|
790 | ||
|
|
781 | 791 | |
|
|
782 | 792 | |
|
|
783 | 793 | '''Block Reading, the Block Data is received and Reshape is used to give it |
|
|
784 | 794 | shape. |
|
|
785 | 795 | ''' |
|
|
786 | 796 | |
|
|
787 | 797 | self.PointerReader = self.fp.tell() |
|
|
788 | 798 | |
|
|
789 | 799 | |
|
|
790 | 800 | |
|
|
791 | 801 | |
|
|
792 | 802 | |
|
|
793 | 803 | |
|
|
794 | 804 | No newline at end of file |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
| @@ -1,1090 +1,1090 | |||
|
|
1 | 1 | import numpy |
|
|
2 | 2 | import time |
|
|
3 | 3 | import os |
|
|
4 | 4 | import h5py |
|
|
5 | 5 | import re |
|
|
6 | 6 | import datetime |
|
|
7 | 7 | |
|
|
8 | 8 | from schainpy.model.data.jrodata import * |
|
|
9 | 9 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
10 | 10 | # from jroIO_base import * |
|
|
11 | 11 | from schainpy.model.io.jroIO_base import * |
|
|
12 | 12 | import schainpy |
|
|
13 | 13 | |
|
|
14 | 14 | |
|
|
15 | 15 | class ParamReader(ProcessingUnit): |
|
|
16 | 16 | ''' |
|
|
17 | 17 | Reads HDF5 format files |
|
|
18 | 18 | |
|
|
19 | 19 | path |
|
|
20 | 20 | |
|
|
21 | 21 | startDate |
|
|
22 | 22 | |
|
|
23 | 23 | endDate |
|
|
24 | 24 | |
|
|
25 | 25 | startTime |
|
|
26 | 26 | |
|
|
27 | 27 | endTime |
|
|
28 | 28 | ''' |
|
|
29 | 29 | |
|
|
30 | 30 | ext = ".hdf5" |
|
|
31 | 31 | |
|
|
32 | 32 | optchar = "D" |
|
|
33 | 33 | |
|
|
34 | 34 | timezone = None |
|
|
35 | 35 | |
|
|
36 | 36 | startTime = None |
|
|
37 | 37 | |
|
|
38 | 38 | endTime = None |
|
|
39 | 39 | |
|
|
40 | 40 | fileIndex = None |
|
|
41 | 41 | |
|
|
42 | 42 | utcList = None #To select data in the utctime list |
|
|
43 | 43 | |
|
|
44 | 44 | blockList = None #List to blocks to be read from the file |
|
|
45 | 45 | |
|
|
46 | 46 | blocksPerFile = None #Number of blocks to be read |
|
|
47 | 47 | |
|
|
48 | 48 | blockIndex = None |
|
|
49 | 49 | |
|
|
50 | 50 | path = None |
|
|
51 | 51 | |
|
|
52 | 52 | #List of Files |
|
|
53 | 53 | |
|
|
54 | 54 | filenameList = None |
|
|
55 | 55 | |
|
|
56 | 56 | datetimeList = None |
|
|
57 | 57 | |
|
|
58 | 58 | #Hdf5 File |
|
|
59 | 59 | |
|
|
60 | 60 | listMetaname = None |
|
|
61 | 61 | |
|
|
62 | 62 | listMeta = None |
|
|
63 | 63 | |
|
|
64 | 64 | listDataname = None |
|
|
65 | 65 | |
|
|
66 | 66 | listData = None |
|
|
67 | 67 | |
|
|
68 | 68 | listShapes = None |
|
|
69 | 69 | |
|
|
70 | 70 | fp = None |
|
|
71 | 71 | |
|
|
72 | 72 | #dataOut reconstruction |
|
|
73 | 73 | |
|
|
74 | 74 | dataOut = None |
|
|
75 | 75 | |
|
|
76 | 76 | |
|
|
77 | 77 | def __init__(self, **kwargs): |
|
|
78 | 78 | ProcessingUnit.__init__(self, **kwargs) |
|
|
79 | 79 | self.dataOut = Parameters() |
|
|
80 | 80 | return |
|
|
81 | 81 | |
|
|
82 | 82 | def setup(self, **kwargs): |
|
|
83 | 83 | |
|
|
84 | 84 | path = kwargs['path'] |
|
|
85 | 85 | startDate = kwargs['startDate'] |
|
|
86 | 86 | endDate = kwargs['endDate'] |
|
|
87 | 87 | startTime = kwargs['startTime'] |
|
|
88 | 88 | endTime = kwargs['endTime'] |
|
|
89 | 89 | walk = kwargs['walk'] |
|
|
90 | 90 | if kwargs.has_key('ext'): |
|
|
91 | 91 | ext = kwargs['ext'] |
|
|
92 | 92 | else: |
|
|
93 | 93 | ext = '.hdf5' |
|
|
94 | 94 | if kwargs.has_key('timezone'): |
|
|
95 | 95 | self.timezone = kwargs['timezone'] |
|
|
96 | 96 | else: |
|
|
97 | 97 | self.timezone = 'lt' |
|
|
98 | 98 | |
|
|
99 | 99 | print "[Reading] Searching files in offline mode ..." |
|
|
100 | 100 | pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|
101 | 101 | startTime=startTime, endTime=endTime, |
|
|
102 | 102 | ext=ext, walk=walk) |
|
|
103 | 103 | |
|
|
104 | 104 | if not(filenameList): |
|
|
105 | 105 | print "There is no files into the folder: %s"%(path) |
|
|
106 | 106 | sys.exit(-1) |
|
|
107 | 107 | |
|
|
108 | 108 | self.fileIndex = -1 |
|
|
109 | 109 | self.startTime = startTime |
|
|
110 | 110 | self.endTime = endTime |
|
|
111 | 111 | |
|
|
112 | 112 | self.__readMetadata() |
|
|
113 | 113 | |
|
|
114 | 114 | self.__setNextFileOffline() |
|
|
115 | 115 | |
|
|
116 | 116 | return |
|
|
117 | 117 | |
|
|
118 | 118 | def __searchFilesOffLine(self, |
|
|
119 | 119 | path, |
|
|
120 | 120 | startDate=None, |
|
|
121 | 121 | endDate=None, |
|
|
122 | 122 | startTime=datetime.time(0,0,0), |
|
|
123 | 123 | endTime=datetime.time(23,59,59), |
|
|
124 | 124 | ext='.hdf5', |
|
|
125 | 125 | walk=True): |
|
|
126 | 126 | |
|
|
127 | 127 | expLabel = '' |
|
|
128 | 128 | self.filenameList = [] |
|
|
129 | 129 | self.datetimeList = [] |
|
|
130 | 130 | |
|
|
131 | 131 | pathList = [] |
|
|
132 | 132 | |
|
|
133 | 133 | JRODataObj = JRODataReader() |
|
|
134 | 134 | dateList, pathList = JRODataObj.findDatafiles(path, startDate, endDate, expLabel, ext, walk, include_path=True) |
|
|
135 | 135 | |
|
|
136 | 136 | if dateList == []: |
|
|
137 | 137 | print "[Reading] No *%s files in %s from %s to %s)"%(ext, path, |
|
|
138 | 138 | datetime.datetime.combine(startDate,startTime).ctime(), |
|
|
139 | 139 | datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
140 | 140 | |
|
|
141 | 141 | return None, None |
|
|
142 | 142 | |
|
|
143 | 143 | if len(dateList) > 1: |
|
|
144 | 144 | print "[Reading] %d days were found in date range: %s - %s" %(len(dateList), startDate, endDate) |
|
|
145 | 145 | else: |
|
|
146 | 146 | print "[Reading] data was found for the date %s" %(dateList[0]) |
|
|
147 | 147 | |
|
|
148 | 148 | filenameList = [] |
|
|
149 | 149 | datetimeList = [] |
|
|
150 | 150 | |
|
|
151 | 151 | #---------------------------------------------------------------------------------- |
|
|
152 | 152 | |
|
|
153 | 153 | for thisPath in pathList: |
|
|
154 | 154 | # thisPath = pathList[pathDict[file]] |
|
|
155 | 155 | |
|
|
156 | 156 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
157 | 157 | fileList.sort() |
|
|
158 | 158 | |
|
|
159 | 159 | for file in fileList: |
|
|
160 | 160 | |
|
|
161 | 161 | filename = os.path.join(thisPath,file) |
|
|
162 | 162 | |
|
|
163 | 163 | if not isFileInDateRange(filename, startDate, endDate): |
|
|
164 | 164 | continue |
|
|
165 | 165 | |
|
|
166 | 166 | thisDatetime = self.__isFileInTimeRange(filename, startDate, endDate, startTime, endTime) |
|
|
167 | 167 | |
|
|
168 | 168 | if not(thisDatetime): |
|
|
169 | 169 | continue |
|
|
170 | 170 | |
|
|
171 | 171 | filenameList.append(filename) |
|
|
172 | 172 | datetimeList.append(thisDatetime) |
|
|
173 | 173 | |
|
|
174 | 174 | if not(filenameList): |
|
|
175 | 175 | print "[Reading] Any file was found int time range %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
176 | 176 | return None, None |
|
|
177 | 177 | |
|
|
178 | 178 | print "[Reading] %d file(s) was(were) found in time range: %s - %s" %(len(filenameList), startTime, endTime) |
|
|
179 | 179 | |
|
|
180 | 180 | |
|
|
181 | for i in range(len(filenameList)): | |
|
|
182 | print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) | |
|
|
181 | # for i in range(len(filenameList)): | |
|
|
182 | # print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) | |
|
|
183 | 183 | |
|
|
184 | 184 | self.filenameList = filenameList |
|
|
185 | 185 | self.datetimeList = datetimeList |
|
|
186 | 186 | |
|
|
187 | 187 | return pathList, filenameList |
|
|
188 | 188 | |
|
|
189 | 189 | def __isFileInTimeRange(self,filename, startDate, endDate, startTime, endTime): |
|
|
190 | 190 | |
|
|
191 | 191 | """ |
|
|
192 | 192 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
193 | 193 | |
|
|
194 | 194 | Inputs: |
|
|
195 | 195 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
196 | 196 | |
|
|
197 | 197 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
198 | 198 | |
|
|
199 | 199 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
200 | 200 | |
|
|
201 | 201 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|
202 | 202 | |
|
|
203 | 203 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|
204 | 204 | |
|
|
205 | 205 | Return: |
|
|
206 | 206 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
207 | 207 | fecha especificado, de lo contrario retorna False. |
|
|
208 | 208 | |
|
|
209 | 209 | Excepciones: |
|
|
210 | 210 | Si el archivo no existe o no puede ser abierto |
|
|
211 | 211 | Si la cabecera no puede ser leida. |
|
|
212 | 212 | |
|
|
213 | 213 | """ |
|
|
214 | 214 | |
|
|
215 | 215 | try: |
|
|
216 | 216 | fp = h5py.File(filename,'r') |
|
|
217 | 217 | grp1 = fp['Data'] |
|
|
218 | 218 | |
|
|
219 | 219 | except IOError: |
|
|
220 | 220 | traceback.print_exc() |
|
|
221 | 221 | raise IOError, "The file %s can't be opened" %(filename) |
|
|
222 | 222 | #chino rata |
|
|
223 | 223 | #In case has utctime attribute |
|
|
224 | 224 | grp2 = grp1['utctime'] |
|
|
225 | 225 | # thisUtcTime = grp2.value[0] - 5*3600 #To convert to local time |
|
|
226 | 226 | thisUtcTime = grp2.value[0] |
|
|
227 | 227 | |
|
|
228 | 228 | fp.close() |
|
|
229 | 229 | |
|
|
230 | 230 | if self.timezone == 'lt': |
|
|
231 | 231 | thisUtcTime -= 5*3600 |
|
|
232 | 232 | |
|
|
233 | 233 | thisDatetime = datetime.datetime.fromtimestamp(thisUtcTime[0] + 5*3600) |
|
|
234 | 234 | # thisDatetime = datetime.datetime.fromtimestamp(thisUtcTime[0]) |
|
|
235 | 235 | thisDate = thisDatetime.date() |
|
|
236 | 236 | thisTime = thisDatetime.time() |
|
|
237 | 237 | |
|
|
238 | 238 | startUtcTime = (datetime.datetime.combine(thisDate,startTime)- datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
239 | 239 | endUtcTime = (datetime.datetime.combine(thisDate,endTime)- datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
240 | 240 | |
|
|
241 | 241 | #General case |
|
|
242 | 242 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
|
|
243 | 243 | #-----------o----------------------------o----------- |
|
|
244 | 244 | # startTime endTime |
|
|
245 | 245 | |
|
|
246 | 246 | if endTime >= startTime: |
|
|
247 | 247 | thisUtcLog = numpy.logical_and(thisUtcTime > startUtcTime, thisUtcTime < endUtcTime) |
|
|
248 | 248 | if numpy.any(thisUtcLog): #If there is one block between the hours mentioned |
|
|
249 | 249 | return thisDatetime |
|
|
250 | 250 | return None |
|
|
251 | 251 | |
|
|
252 | 252 | #If endTime < startTime then endTime belongs to the next day |
|
|
253 | 253 | #<<<<<<<<<<<o o>>>>>>>>>>> |
|
|
254 | 254 | #-----------o----------------------------o----------- |
|
|
255 | 255 | # endTime startTime |
|
|
256 | 256 | |
|
|
257 | 257 | if (thisDate == startDate) and numpy.all(thisUtcTime < startUtcTime): |
|
|
258 | 258 | return None |
|
|
259 | 259 | |
|
|
260 | 260 | if (thisDate == endDate) and numpy.all(thisUtcTime > endUtcTime): |
|
|
261 | 261 | return None |
|
|
262 | 262 | |
|
|
263 | 263 | if numpy.all(thisUtcTime < startUtcTime) and numpy.all(thisUtcTime > endUtcTime): |
|
|
264 | 264 | return None |
|
|
265 | 265 | |
|
|
266 | 266 | return thisDatetime |
|
|
267 | 267 | |
|
|
268 | 268 | def __setNextFileOffline(self): |
|
|
269 | 269 | |
|
|
270 | 270 | self.fileIndex += 1 |
|
|
271 | 271 | idFile = self.fileIndex |
|
|
272 | 272 | |
|
|
273 | 273 | if not(idFile < len(self.filenameList)): |
|
|
274 | 274 | print "No more Files" |
|
|
275 | 275 | return 0 |
|
|
276 | 276 | |
|
|
277 | 277 | filename = self.filenameList[idFile] |
|
|
278 | 278 | |
|
|
279 | 279 | filePointer = h5py.File(filename,'r') |
|
|
280 | 280 | |
|
|
281 | 281 | self.filename = filename |
|
|
282 | 282 | |
|
|
283 | 283 | self.fp = filePointer |
|
|
284 | 284 | |
|
|
285 | 285 | print "Setting the file: %s"%self.filename |
|
|
286 | 286 | |
|
|
287 | 287 | # self.__readMetadata() |
|
|
288 | 288 | self.__setBlockList() |
|
|
289 | 289 | self.__readData() |
|
|
290 | 290 | # self.nRecords = self.fp['Data'].attrs['blocksPerFile'] |
|
|
291 | 291 | # self.nRecords = self.fp['Data'].attrs['nRecords'] |
|
|
292 | 292 | self.blockIndex = 0 |
|
|
293 | 293 | return 1 |
|
|
294 | 294 | |
|
|
295 | 295 | def __setBlockList(self): |
|
|
296 | 296 | ''' |
|
|
297 | 297 | Selects the data within the times defined |
|
|
298 | 298 | |
|
|
299 | 299 | self.fp |
|
|
300 | 300 | self.startTime |
|
|
301 | 301 | self.endTime |
|
|
302 | 302 | |
|
|
303 | 303 | self.blockList |
|
|
304 | 304 | self.blocksPerFile |
|
|
305 | 305 | |
|
|
306 | 306 | ''' |
|
|
307 | 307 | fp = self.fp |
|
|
308 | 308 | startTime = self.startTime |
|
|
309 | 309 | endTime = self.endTime |
|
|
310 | 310 | |
|
|
311 | 311 | grp = fp['Data'] |
|
|
312 | 312 | thisUtcTime = grp['utctime'].value.astype(numpy.float)[0] |
|
|
313 | 313 | |
|
|
314 | 314 | #ERROOOOR |
|
|
315 | 315 | if self.timezone == 'lt': |
|
|
316 | 316 | thisUtcTime -= 5*3600 |
|
|
317 | 317 | |
|
|
318 | 318 | thisDatetime = datetime.datetime.fromtimestamp(thisUtcTime[0] + 5*3600) |
|
|
319 | 319 | |
|
|
320 | 320 | thisDate = thisDatetime.date() |
|
|
321 | 321 | thisTime = thisDatetime.time() |
|
|
322 | 322 | |
|
|
323 | 323 | startUtcTime = (datetime.datetime.combine(thisDate,startTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
324 | 324 | endUtcTime = (datetime.datetime.combine(thisDate,endTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
325 | 325 | |
|
|
326 | 326 | ind = numpy.where(numpy.logical_and(thisUtcTime >= startUtcTime, thisUtcTime < endUtcTime))[0] |
|
|
327 | 327 | |
|
|
328 | 328 | self.blockList = ind |
|
|
329 | 329 | self.blocksPerFile = len(ind) |
|
|
330 | 330 | |
|
|
331 | 331 | return |
|
|
332 | 332 | |
|
|
333 | 333 | def __readMetadata(self): |
|
|
334 | 334 | ''' |
|
|
335 | 335 | Reads Metadata |
|
|
336 | 336 | |
|
|
337 | 337 | self.pathMeta |
|
|
338 | 338 | |
|
|
339 | 339 | self.listShapes |
|
|
340 | 340 | self.listMetaname |
|
|
341 | 341 | self.listMeta |
|
|
342 | 342 | |
|
|
343 | 343 | ''' |
|
|
344 | 344 | |
|
|
345 | 345 | # grp = self.fp['Data'] |
|
|
346 | 346 | # pathMeta = os.path.join(self.path, grp.attrs['metadata']) |
|
|
347 | 347 | # |
|
|
348 | 348 | # if pathMeta == self.pathMeta: |
|
|
349 | 349 | # return |
|
|
350 | 350 | # else: |
|
|
351 | 351 | # self.pathMeta = pathMeta |
|
|
352 | 352 | # |
|
|
353 | 353 | # filePointer = h5py.File(self.pathMeta,'r') |
|
|
354 | 354 | # groupPointer = filePointer['Metadata'] |
|
|
355 | 355 | |
|
|
356 | 356 | filename = self.filenameList[0] |
|
|
357 | 357 | |
|
|
358 | 358 | fp = h5py.File(filename,'r') |
|
|
359 | 359 | |
|
|
360 | 360 | gp = fp['Metadata'] |
|
|
361 | 361 | |
|
|
362 | 362 | listMetaname = [] |
|
|
363 | 363 | listMetadata = [] |
|
|
364 | 364 | for item in gp.items(): |
|
|
365 | 365 | name = item[0] |
|
|
366 | 366 | |
|
|
367 | 367 | if name=='array dimensions': |
|
|
368 | 368 | table = gp[name][:] |
|
|
369 | 369 | listShapes = {} |
|
|
370 | 370 | for shapes in table: |
|
|
371 | 371 | listShapes[shapes[0]] = numpy.array([shapes[1],shapes[2],shapes[3],shapes[4],shapes[5]]) |
|
|
372 | 372 | else: |
|
|
373 | 373 | data = gp[name].value |
|
|
374 | 374 | listMetaname.append(name) |
|
|
375 | 375 | listMetadata.append(data) |
|
|
376 | 376 | |
|
|
377 | 377 | # if name=='type': |
|
|
378 | 378 | # self.__initDataOut(data) |
|
|
379 | 379 | |
|
|
380 | 380 | self.listShapes = listShapes |
|
|
381 | 381 | self.listMetaname = listMetaname |
|
|
382 | 382 | self.listMeta = listMetadata |
|
|
383 | 383 | |
|
|
384 | 384 | fp.close() |
|
|
385 | 385 | return |
|
|
386 | 386 | |
|
|
387 | 387 | def __readData(self): |
|
|
388 | 388 | grp = self.fp['Data'] |
|
|
389 | 389 | listdataname = [] |
|
|
390 | 390 | listdata = [] |
|
|
391 | 391 | |
|
|
392 | 392 | for item in grp.items(): |
|
|
393 | 393 | name = item[0] |
|
|
394 | 394 | listdataname.append(name) |
|
|
395 | 395 | |
|
|
396 | 396 | array = self.__setDataArray(grp[name],self.listShapes[name]) |
|
|
397 | 397 | listdata.append(array) |
|
|
398 | 398 | |
|
|
399 | 399 | self.listDataname = listdataname |
|
|
400 | 400 | self.listData = listdata |
|
|
401 | 401 | return |
|
|
402 | 402 | |
|
|
403 | 403 | def __setDataArray(self, dataset, shapes): |
|
|
404 | 404 | |
|
|
405 | 405 | nDims = shapes[0] |
|
|
406 | 406 | |
|
|
407 | 407 | nDim2 = shapes[1] #Dimension 0 |
|
|
408 | 408 | |
|
|
409 | 409 | nDim1 = shapes[2] #Dimension 1, number of Points or Parameters |
|
|
410 | 410 | |
|
|
411 | 411 | nDim0 = shapes[3] #Dimension 2, number of samples or ranges |
|
|
412 | 412 | |
|
|
413 | 413 | mode = shapes[4] #Mode of storing |
|
|
414 | 414 | |
|
|
415 | 415 | blockList = self.blockList |
|
|
416 | 416 | |
|
|
417 | 417 | blocksPerFile = self.blocksPerFile |
|
|
418 | 418 | |
|
|
419 | 419 | #Depending on what mode the data was stored |
|
|
420 | 420 | if mode == 0: #Divided in channels |
|
|
421 | 421 | arrayData = dataset.value.astype(numpy.float)[0][blockList] |
|
|
422 | 422 | if mode == 1: #Divided in parameter |
|
|
423 | 423 | strds = 'table' |
|
|
424 | 424 | nDatas = nDim1 |
|
|
425 | 425 | newShapes = (blocksPerFile,nDim2,nDim0) |
|
|
426 | 426 | elif mode==2: #Concatenated in a table |
|
|
427 | 427 | strds = 'table0' |
|
|
428 | 428 | arrayData = dataset[strds].value |
|
|
429 | 429 | #Selecting part of the dataset |
|
|
430 | 430 | utctime = arrayData[:,0] |
|
|
431 | 431 | u, indices = numpy.unique(utctime, return_index=True) |
|
|
432 | 432 | |
|
|
433 | 433 | if blockList.size != indices.size: |
|
|
434 | 434 | indMin = indices[blockList[0]] |
|
|
435 | 435 | if blockList[1] + 1 >= indices.size: |
|
|
436 | 436 | arrayData = arrayData[indMin:,:] |
|
|
437 | 437 | else: |
|
|
438 | 438 | indMax = indices[blockList[1] + 1] |
|
|
439 | 439 | arrayData = arrayData[indMin:indMax,:] |
|
|
440 | 440 | return arrayData |
|
|
441 | 441 | |
|
|
442 | 442 | # One dimension |
|
|
443 | 443 | if nDims == 0: |
|
|
444 | 444 | arrayData = dataset.value.astype(numpy.float)[0][blockList] |
|
|
445 | 445 | |
|
|
446 | 446 | # Two dimensions |
|
|
447 | 447 | elif nDims == 2: |
|
|
448 | 448 | arrayData = numpy.zeros((blocksPerFile,nDim1,nDim0)) |
|
|
449 | 449 | newShapes = (blocksPerFile,nDim0) |
|
|
450 | 450 | nDatas = nDim1 |
|
|
451 | 451 | |
|
|
452 | 452 | for i in range(nDatas): |
|
|
453 | 453 | data = dataset[strds + str(i)].value |
|
|
454 | 454 | arrayData[:,i,:] = data[blockList,:] |
|
|
455 | 455 | |
|
|
456 | 456 | # Three dimensions |
|
|
457 | 457 | else: |
|
|
458 | 458 | arrayData = numpy.zeros((blocksPerFile,nDim2,nDim1,nDim0)) |
|
|
459 | 459 | for i in range(nDatas): |
|
|
460 | 460 | |
|
|
461 | 461 | data = dataset[strds + str(i)].value |
|
|
462 | 462 | |
|
|
463 | 463 | for b in range(blockList.size): |
|
|
464 | 464 | arrayData[b,:,i,:] = data[:,:,blockList[b]] |
|
|
465 | 465 | |
|
|
466 | 466 | return arrayData |
|
|
467 | 467 | |
|
|
468 | 468 | def __setDataOut(self): |
|
|
469 | 469 | listMeta = self.listMeta |
|
|
470 | 470 | listMetaname = self.listMetaname |
|
|
471 | 471 | listDataname = self.listDataname |
|
|
472 | 472 | listData = self.listData |
|
|
473 | 473 | listShapes = self.listShapes |
|
|
474 | 474 | |
|
|
475 | 475 | blockIndex = self.blockIndex |
|
|
476 | 476 | # blockList = self.blockList |
|
|
477 | 477 | |
|
|
478 | 478 | for i in range(len(listMeta)): |
|
|
479 | 479 | setattr(self.dataOut,listMetaname[i],listMeta[i]) |
|
|
480 | 480 | |
|
|
481 | 481 | for j in range(len(listData)): |
|
|
482 | 482 | nShapes = listShapes[listDataname[j]][0] |
|
|
483 | 483 | mode = listShapes[listDataname[j]][4] |
|
|
484 | 484 | if nShapes == 1: |
|
|
485 | 485 | setattr(self.dataOut,listDataname[j],listData[j][blockIndex]) |
|
|
486 | 486 | elif nShapes > 1: |
|
|
487 | 487 | setattr(self.dataOut,listDataname[j],listData[j][blockIndex,:]) |
|
|
488 | 488 | elif mode==0: |
|
|
489 | 489 | setattr(self.dataOut,listDataname[j],listData[j][blockIndex]) |
|
|
490 | 490 | #Mode Meteors |
|
|
491 | 491 | elif mode ==2: |
|
|
492 | 492 | selectedData = self.__selectDataMode2(listData[j], blockIndex) |
|
|
493 | 493 | setattr(self.dataOut, listDataname[j], selectedData) |
|
|
494 | 494 | return |
|
|
495 | 495 | |
|
|
496 | 496 | def __selectDataMode2(self, data, blockIndex): |
|
|
497 | 497 | utctime = data[:,0] |
|
|
498 | 498 | aux, indices = numpy.unique(utctime, return_inverse=True) |
|
|
499 | 499 | selInd = numpy.where(indices == blockIndex)[0] |
|
|
500 | 500 | selData = data[selInd,:] |
|
|
501 | 501 | |
|
|
502 | 502 | return selData |
|
|
503 | 503 | |
|
|
504 | 504 | def getData(self): |
|
|
505 | 505 | |
|
|
506 | 506 | # if self.flagNoMoreFiles: |
|
|
507 | 507 | # self.dataOut.flagNoData = True |
|
|
508 | 508 | # print 'Process finished' |
|
|
509 | 509 | # return 0 |
|
|
510 | 510 | # |
|
|
511 | 511 | if self.blockIndex==self.blocksPerFile: |
|
|
512 | 512 | if not( self.__setNextFileOffline() ): |
|
|
513 | 513 | self.dataOut.flagNoData = True |
|
|
514 | 514 | return 0 |
|
|
515 | 515 | |
|
|
516 | 516 | # if self.datablock == None: # setear esta condicion cuando no hayan datos por leers |
|
|
517 | 517 | # self.dataOut.flagNoData = True |
|
|
518 | 518 | # return 0 |
|
|
519 | 519 | # self.__readData() |
|
|
520 | 520 | self.__setDataOut() |
|
|
521 | 521 | self.dataOut.flagNoData = False |
|
|
522 | 522 | |
|
|
523 | 523 | self.blockIndex += 1 |
|
|
524 | 524 | |
|
|
525 | 525 | return |
|
|
526 | 526 | |
|
|
527 | 527 | def run(self, **kwargs): |
|
|
528 | 528 | |
|
|
529 | 529 | if not(self.isConfig): |
|
|
530 | 530 | self.setup(**kwargs) |
|
|
531 | 531 | # self.setObjProperties() |
|
|
532 | 532 | self.isConfig = True |
|
|
533 | 533 | |
|
|
534 | 534 | self.getData() |
|
|
535 | 535 | |
|
|
536 | 536 | return |
|
|
537 | 537 | |
|
|
538 | 538 | class ParamWriter(Operation): |
|
|
539 | 539 | ''' |
|
|
540 | 540 | HDF5 Writer, stores parameters data in HDF5 format files |
|
|
541 | 541 | |
|
|
542 | 542 | path: path where the files will be stored |
|
|
543 | 543 | |
|
|
544 | 544 | blocksPerFile: number of blocks that will be saved in per HDF5 format file |
|
|
545 | 545 | |
|
|
546 | 546 | mode: selects the data stacking mode: '0' channels, '1' parameters, '3' table (for meteors) |
|
|
547 | 547 | |
|
|
548 | 548 | metadataList: list of attributes that will be stored as metadata |
|
|
549 | 549 | |
|
|
550 | 550 | dataList: list of attributes that will be stores as data |
|
|
551 | 551 | |
|
|
552 | 552 | ''' |
|
|
553 | 553 | |
|
|
554 | 554 | |
|
|
555 | 555 | ext = ".hdf5" |
|
|
556 | 556 | |
|
|
557 | 557 | optchar = "D" |
|
|
558 | 558 | |
|
|
559 | 559 | metaoptchar = "M" |
|
|
560 | 560 | |
|
|
561 | 561 | metaFile = None |
|
|
562 | 562 | |
|
|
563 | 563 | filename = None |
|
|
564 | 564 | |
|
|
565 | 565 | path = None |
|
|
566 | 566 | |
|
|
567 | 567 | setFile = None |
|
|
568 | 568 | |
|
|
569 | 569 | fp = None |
|
|
570 | 570 | |
|
|
571 | 571 | grp = None |
|
|
572 | 572 | |
|
|
573 | 573 | ds = None |
|
|
574 | 574 | |
|
|
575 | 575 | firsttime = True |
|
|
576 | 576 | |
|
|
577 | 577 | #Configurations |
|
|
578 | 578 | |
|
|
579 | 579 | blocksPerFile = None |
|
|
580 | 580 | |
|
|
581 | 581 | blockIndex = None |
|
|
582 | 582 | |
|
|
583 | 583 | dataOut = None |
|
|
584 | 584 | |
|
|
585 | 585 | #Data Arrays |
|
|
586 | 586 | |
|
|
587 | 587 | dataList = None |
|
|
588 | 588 | |
|
|
589 | 589 | metadataList = None |
|
|
590 | 590 | |
|
|
591 | 591 | # arrayDim = None |
|
|
592 | 592 | |
|
|
593 | 593 | dsList = None #List of dictionaries with dataset properties |
|
|
594 | 594 | |
|
|
595 | 595 | tableDim = None |
|
|
596 | 596 | |
|
|
597 | 597 | # dtype = [('arrayName', 'S20'),('nChannels', 'i'), ('nPoints', 'i'), ('nSamples', 'i'),('mode', 'b')] |
|
|
598 | 598 | |
|
|
599 | 599 | dtype = [('arrayName', 'S20'),('nDimensions', 'i'), ('dim2', 'i'), ('dim1', 'i'),('dim0', 'i'),('mode', 'b')] |
|
|
600 | 600 | |
|
|
601 | 601 | currentDay = None |
|
|
602 | 602 | |
|
|
603 | 603 | lastTime = None |
|
|
604 | 604 | |
|
|
605 | 605 | def __init__(self, **kwargs): |
|
|
606 | 606 | Operation.__init__(self, **kwargs) |
|
|
607 | 607 | self.isConfig = False |
|
|
608 | 608 | return |
|
|
609 | 609 | |
|
|
610 | 610 | def setup(self, dataOut, **kwargs): |
|
|
611 | 611 | |
|
|
612 | 612 | self.path = kwargs['path'] |
|
|
613 | 613 | |
|
|
614 | 614 | if kwargs.has_key('blocksPerFile'): |
|
|
615 | 615 | self.blocksPerFile = kwargs['blocksPerFile'] |
|
|
616 | 616 | else: |
|
|
617 | 617 | self.blocksPerFile = 10 |
|
|
618 | 618 | |
|
|
619 | 619 | self.metadataList = kwargs['metadataList'] |
|
|
620 | 620 | self.dataList = kwargs['dataList'] |
|
|
621 | 621 | self.dataOut = dataOut |
|
|
622 | 622 | |
|
|
623 | 623 | if kwargs.has_key('mode'): |
|
|
624 | 624 | mode = kwargs['mode'] |
|
|
625 | 625 | |
|
|
626 | 626 | if type(mode) == int: |
|
|
627 | 627 | mode = numpy.zeros(len(self.dataList)) + mode |
|
|
628 | 628 | else: |
|
|
629 | 629 | mode = numpy.ones(len(self.dataList)) |
|
|
630 | 630 | |
|
|
631 | 631 | self.mode = mode |
|
|
632 | 632 | |
|
|
633 | 633 | arrayDim = numpy.zeros((len(self.dataList),5)) |
|
|
634 | 634 | |
|
|
635 | 635 | #Table dimensions |
|
|
636 | 636 | dtype0 = self.dtype |
|
|
637 | 637 | tableList = [] |
|
|
638 | 638 | |
|
|
639 | 639 | #Dictionary and list of tables |
|
|
640 | 640 | dsList = [] |
|
|
641 | 641 | |
|
|
642 | 642 | for i in range(len(self.dataList)): |
|
|
643 | 643 | dsDict = {} |
|
|
644 | 644 | dataAux = getattr(self.dataOut, self.dataList[i]) |
|
|
645 | 645 | dsDict['variable'] = self.dataList[i] |
|
|
646 | 646 | #--------------------- Conditionals ------------------------ |
|
|
647 | 647 | #There is no data |
|
|
648 | 648 | if dataAux is None: |
|
|
649 | 649 | return 0 |
|
|
650 | 650 | |
|
|
651 | 651 | #Not array, just a number |
|
|
652 | 652 | #Mode 0 |
|
|
653 | 653 | if type(dataAux)==float or type(dataAux)==int: |
|
|
654 | 654 | dsDict['mode'] = 0 |
|
|
655 | 655 | dsDict['nDim'] = 0 |
|
|
656 | 656 | arrayDim[i,0] = 0 |
|
|
657 | 657 | dsList.append(dsDict) |
|
|
658 | 658 | |
|
|
659 | 659 | #Mode 2: meteors |
|
|
660 | 660 | elif mode[i] == 2: |
|
|
661 | 661 | # dsDict['nDim'] = 0 |
|
|
662 | 662 | dsDict['dsName'] = 'table0' |
|
|
663 | 663 | dsDict['mode'] = 2 # Mode meteors |
|
|
664 | 664 | dsDict['shape'] = dataAux.shape[-1] |
|
|
665 | 665 | dsDict['nDim'] = 0 |
|
|
666 | 666 | dsDict['dsNumber'] = 1 |
|
|
667 | 667 | |
|
|
668 | 668 | arrayDim[i,3] = dataAux.shape[-1] |
|
|
669 | 669 | arrayDim[i,4] = mode[i] #Mode the data was stored |
|
|
670 | 670 | |
|
|
671 | 671 | dsList.append(dsDict) |
|
|
672 | 672 | |
|
|
673 | 673 | #Mode 1 |
|
|
674 | 674 | else: |
|
|
675 | 675 | arrayDim0 = dataAux.shape #Data dimensions |
|
|
676 | 676 | arrayDim[i,0] = len(arrayDim0) #Number of array dimensions |
|
|
677 | 677 | arrayDim[i,4] = mode[i] #Mode the data was stored |
|
|
678 | 678 | |
|
|
679 | 679 | strtable = 'table' |
|
|
680 | 680 | dsDict['mode'] = 1 # Mode parameters |
|
|
681 | 681 | |
|
|
682 | 682 | # Three-dimension arrays |
|
|
683 | 683 | if len(arrayDim0) == 3: |
|
|
684 | 684 | arrayDim[i,1:-1] = numpy.array(arrayDim0) |
|
|
685 | 685 | nTables = int(arrayDim[i,2]) |
|
|
686 | 686 | dsDict['dsNumber'] = nTables |
|
|
687 | 687 | dsDict['shape'] = arrayDim[i,2:4] |
|
|
688 | 688 | dsDict['nDim'] = 3 |
|
|
689 | 689 | |
|
|
690 | 690 | for j in range(nTables): |
|
|
691 | 691 | dsDict = dsDict.copy() |
|
|
692 | 692 | dsDict['dsName'] = strtable + str(j) |
|
|
693 | 693 | dsList.append(dsDict) |
|
|
694 | 694 | |
|
|
695 | 695 | # Two-dimension arrays |
|
|
696 | 696 | elif len(arrayDim0) == 2: |
|
|
697 | 697 | arrayDim[i,2:-1] = numpy.array(arrayDim0) |
|
|
698 | 698 | nTables = int(arrayDim[i,2]) |
|
|
699 | 699 | dsDict['dsNumber'] = nTables |
|
|
700 | 700 | dsDict['shape'] = arrayDim[i,3] |
|
|
701 | 701 | dsDict['nDim'] = 2 |
|
|
702 | 702 | |
|
|
703 | 703 | for j in range(nTables): |
|
|
704 | 704 | dsDict = dsDict.copy() |
|
|
705 | 705 | dsDict['dsName'] = strtable + str(j) |
|
|
706 | 706 | dsList.append(dsDict) |
|
|
707 | 707 | |
|
|
708 | 708 | # One-dimension arrays |
|
|
709 | 709 | elif len(arrayDim0) == 1: |
|
|
710 | 710 | arrayDim[i,3] = arrayDim0[0] |
|
|
711 | 711 | dsDict['shape'] = arrayDim0[0] |
|
|
712 | 712 | dsDict['dsNumber'] = 1 |
|
|
713 | 713 | dsDict['dsName'] = strtable + str(0) |
|
|
714 | 714 | dsDict['nDim'] = 1 |
|
|
715 | 715 | dsList.append(dsDict) |
|
|
716 | 716 | |
|
|
717 | 717 | table = numpy.array((self.dataList[i],) + tuple(arrayDim[i,:]),dtype = dtype0) |
|
|
718 | 718 | tableList.append(table) |
|
|
719 | 719 | |
|
|
720 | 720 | # self.arrayDim = arrayDim |
|
|
721 | 721 | self.dsList = dsList |
|
|
722 | 722 | self.tableDim = numpy.array(tableList, dtype = dtype0) |
|
|
723 | 723 | self.blockIndex = 0 |
|
|
724 | 724 | |
|
|
725 | 725 | timeTuple = time.localtime(dataOut.utctime) |
|
|
726 | 726 | self.currentDay = timeTuple.tm_yday |
|
|
727 | 727 | return 1 |
|
|
728 | 728 | |
|
|
729 | 729 | def putMetadata(self): |
|
|
730 | 730 | |
|
|
731 | 731 | fp = self.createMetadataFile() |
|
|
732 | 732 | self.writeMetadata(fp) |
|
|
733 | 733 | fp.close() |
|
|
734 | 734 | return |
|
|
735 | 735 | |
|
|
736 | 736 | def createMetadataFile(self): |
|
|
737 | 737 | ext = self.ext |
|
|
738 | 738 | path = self.path |
|
|
739 | 739 | setFile = self.setFile |
|
|
740 | 740 | |
|
|
741 | 741 | timeTuple = time.localtime(self.dataOut.utctime) |
|
|
742 | 742 | |
|
|
743 | 743 | subfolder = '' |
|
|
744 | 744 | fullpath = os.path.join( path, subfolder ) |
|
|
745 | 745 | |
|
|
746 | 746 | if not( os.path.exists(fullpath) ): |
|
|
747 | 747 | os.mkdir(fullpath) |
|
|
748 | 748 | setFile = -1 #inicializo mi contador de seteo |
|
|
749 | 749 | |
|
|
750 | 750 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
751 | 751 | fullpath = os.path.join( path, subfolder ) |
|
|
752 | 752 | |
|
|
753 | 753 | if not( os.path.exists(fullpath) ): |
|
|
754 | 754 | os.mkdir(fullpath) |
|
|
755 | 755 | setFile = -1 #inicializo mi contador de seteo |
|
|
756 | 756 | |
|
|
757 | 757 | else: |
|
|
758 | 758 | filesList = os.listdir( fullpath ) |
|
|
759 | 759 | filesList = sorted( filesList, key=str.lower ) |
|
|
760 | 760 | if len( filesList ) > 0: |
|
|
761 | 761 | filesList = [k for k in filesList if 'M' in k] |
|
|
762 | 762 | filen = filesList[-1] |
|
|
763 | 763 | # el filename debera tener el siguiente formato |
|
|
764 | 764 | # 0 1234 567 89A BCDE (hex) |
|
|
765 | 765 | # x YYYY DDD SSS .ext |
|
|
766 | 766 | if isNumber( filen[8:11] ): |
|
|
767 | 767 | setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
768 | 768 | else: |
|
|
769 | 769 | setFile = -1 |
|
|
770 | 770 | else: |
|
|
771 | 771 | setFile = -1 #inicializo mi contador de seteo |
|
|
772 | 772 | |
|
|
773 | 773 | setFile += 1 |
|
|
774 | 774 | |
|
|
775 | 775 | file = '%s%4.4d%3.3d%3.3d%s' % (self.metaoptchar, |
|
|
776 | 776 | timeTuple.tm_year, |
|
|
777 | 777 | timeTuple.tm_yday, |
|
|
778 | 778 | setFile, |
|
|
779 | 779 | ext ) |
|
|
780 | 780 | |
|
|
781 | 781 | filename = os.path.join( path, subfolder, file ) |
|
|
782 | 782 | self.metaFile = file |
|
|
783 | 783 | #Setting HDF5 File |
|
|
784 | 784 | fp = h5py.File(filename,'w') |
|
|
785 | 785 | |
|
|
786 | 786 | return fp |
|
|
787 | 787 | |
|
|
788 | 788 | def writeMetadata(self, fp): |
|
|
789 | 789 | |
|
|
790 | 790 | grp = fp.create_group("Metadata") |
|
|
791 | 791 | grp.create_dataset('array dimensions', data = self.tableDim, dtype = self.dtype) |
|
|
792 | 792 | |
|
|
793 | 793 | for i in range(len(self.metadataList)): |
|
|
794 | 794 | grp.create_dataset(self.metadataList[i], data=getattr(self.dataOut, self.metadataList[i])) |
|
|
795 | 795 | return |
|
|
796 | 796 | |
|
|
797 | 797 | def timeFlag(self): |
|
|
798 | 798 | currentTime = self.dataOut.utctime |
|
|
799 | 799 | |
|
|
800 | 800 | if self.lastTime is None: |
|
|
801 | 801 | self.lastTime = currentTime |
|
|
802 | 802 | |
|
|
803 | 803 | #Day |
|
|
804 | 804 | timeTuple = time.localtime(currentTime) |
|
|
805 | 805 | dataDay = timeTuple.tm_yday |
|
|
806 | 806 | |
|
|
807 | 807 | #Time |
|
|
808 | 808 | timeDiff = currentTime - self.lastTime |
|
|
809 | 809 | |
|
|
810 | 810 | #Si el dia es diferente o si la diferencia entre un dato y otro supera la hora |
|
|
811 | 811 | if dataDay != self.currentDay: |
|
|
812 | 812 | self.currentDay = dataDay |
|
|
813 | 813 | return True |
|
|
814 | 814 | elif timeDiff > 3*60*60: |
|
|
815 | 815 | self.lastTime = currentTime |
|
|
816 | 816 | return True |
|
|
817 | 817 | else: |
|
|
818 | 818 | self.lastTime = currentTime |
|
|
819 | 819 | return False |
|
|
820 | 820 | |
|
|
821 | 821 | def setNextFile(self): |
|
|
822 | 822 | |
|
|
823 | 823 | ext = self.ext |
|
|
824 | 824 | path = self.path |
|
|
825 | 825 | setFile = self.setFile |
|
|
826 | 826 | mode = self.mode |
|
|
827 | 827 | |
|
|
828 | 828 | timeTuple = time.localtime(self.dataOut.utctime) |
|
|
829 | 829 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
830 | 830 | |
|
|
831 | 831 | fullpath = os.path.join( path, subfolder ) |
|
|
832 | 832 | |
|
|
833 | 833 | if os.path.exists(fullpath): |
|
|
834 | 834 | filesList = os.listdir( fullpath ) |
|
|
835 | 835 | filesList = [k for k in filesList if 'D' in k] |
|
|
836 | 836 | if len( filesList ) > 0: |
|
|
837 | 837 | filesList = sorted( filesList, key=str.lower ) |
|
|
838 | 838 | filen = filesList[-1] |
|
|
839 | 839 | # el filename debera tener el siguiente formato |
|
|
840 | 840 | # 0 1234 567 89A BCDE (hex) |
|
|
841 | 841 | # x YYYY DDD SSS .ext |
|
|
842 | 842 | if isNumber( filen[8:11] ): |
|
|
843 | 843 | setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
844 | 844 | else: |
|
|
845 | 845 | setFile = -1 |
|
|
846 | 846 | else: |
|
|
847 | 847 | setFile = -1 #inicializo mi contador de seteo |
|
|
848 | 848 | else: |
|
|
849 | 849 | os.makedirs(fullpath) |
|
|
850 | 850 | setFile = -1 #inicializo mi contador de seteo |
|
|
851 | 851 | |
|
|
852 | 852 | setFile += 1 |
|
|
853 | 853 | |
|
|
854 | 854 | file = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, |
|
|
855 | 855 | timeTuple.tm_year, |
|
|
856 | 856 | timeTuple.tm_yday, |
|
|
857 | 857 | setFile, |
|
|
858 | 858 | ext ) |
|
|
859 | 859 | |
|
|
860 | 860 | filename = os.path.join( path, subfolder, file ) |
|
|
861 | 861 | |
|
|
862 | 862 | #Setting HDF5 File |
|
|
863 | 863 | fp = h5py.File(filename,'w') |
|
|
864 | 864 | #write metadata |
|
|
865 | 865 | self.writeMetadata(fp) |
|
|
866 | 866 | #Write data |
|
|
867 | 867 | grp = fp.create_group("Data") |
|
|
868 | 868 | # grp.attrs['metadata'] = self.metaFile |
|
|
869 | 869 | |
|
|
870 | 870 | # grp.attrs['blocksPerFile'] = 0 |
|
|
871 | 871 | ds = [] |
|
|
872 | 872 | data = [] |
|
|
873 | 873 | dsList = self.dsList |
|
|
874 | 874 | i = 0 |
|
|
875 | 875 | while i < len(dsList): |
|
|
876 | 876 | dsInfo = dsList[i] |
|
|
877 | 877 | #One-dimension data |
|
|
878 | 878 | if dsInfo['mode'] == 0: |
|
|
879 | 879 | # ds0 = grp.create_dataset(self.dataList[i], (1,1), maxshape=(1,self.blocksPerFile) , chunks = True, dtype='S20') |
|
|
880 | 880 | ds0 = grp.create_dataset(dsInfo['variable'], (1,1), maxshape=(1,self.blocksPerFile) , chunks = True, dtype=numpy.float64) |
|
|
881 | 881 | ds.append(ds0) |
|
|
882 | 882 | data.append([]) |
|
|
883 | 883 | i += 1 |
|
|
884 | 884 | continue |
|
|
885 | 885 | # nDimsForDs.append(nDims[i]) |
|
|
886 | 886 | |
|
|
887 | 887 | elif dsInfo['mode'] == 2: |
|
|
888 | 888 | grp0 = grp.create_group(dsInfo['variable']) |
|
|
889 | 889 | ds0 = grp0.create_dataset(dsInfo['dsName'], (1,dsInfo['shape']), data = numpy.zeros((1,dsInfo['shape'])) , maxshape=(None,dsInfo['shape']), chunks=True) |
|
|
890 | 890 | ds.append(ds0) |
|
|
891 | 891 | data.append([]) |
|
|
892 | 892 | i += 1 |
|
|
893 | 893 | continue |
|
|
894 | 894 | |
|
|
895 | 895 | elif dsInfo['mode'] == 1: |
|
|
896 | 896 | grp0 = grp.create_group(dsInfo['variable']) |
|
|
897 | 897 | |
|
|
898 | 898 | for j in range(dsInfo['dsNumber']): |
|
|
899 | 899 | dsInfo = dsList[i] |
|
|
900 | 900 | tableName = dsInfo['dsName'] |
|
|
901 | 901 | shape = int(dsInfo['shape']) |
|
|
902 | 902 | |
|
|
903 | 903 | if dsInfo['nDim'] == 3: |
|
|
904 | 904 | ds0 = grp0.create_dataset(tableName, (shape[0],shape[1],1) , data = numpy.zeros((shape[0],shape[1],1)), maxshape = (None,shape[1],None), chunks=True) |
|
|
905 | 905 | else: |
|
|
906 | 906 | ds0 = grp0.create_dataset(tableName, (1,shape), data = numpy.zeros((1,shape)) , maxshape=(None,shape), chunks=True) |
|
|
907 | 907 | |
|
|
908 | 908 | ds.append(ds0) |
|
|
909 | 909 | data.append([]) |
|
|
910 | 910 | i += 1 |
|
|
911 | 911 | # nDimsForDs.append(nDims[i]) |
|
|
912 | 912 | |
|
|
913 | 913 | fp.flush() |
|
|
914 | 914 | fp.close() |
|
|
915 | 915 | |
|
|
916 | 916 | # self.nDatas = nDatas |
|
|
917 | 917 | # self.nDims = nDims |
|
|
918 | 918 | # self.nDimsForDs = nDimsForDs |
|
|
919 | 919 | #Saving variables |
|
|
920 | 920 | print 'Writing the file: %s'%filename |
|
|
921 | 921 | self.filename = filename |
|
|
922 | 922 | # self.fp = fp |
|
|
923 | 923 | # self.grp = grp |
|
|
924 | 924 | # self.grp.attrs.modify('nRecords', 1) |
|
|
925 | 925 | self.ds = ds |
|
|
926 | 926 | self.data = data |
|
|
927 | 927 | # self.setFile = setFile |
|
|
928 | 928 | self.firsttime = True |
|
|
929 | 929 | self.blockIndex = 0 |
|
|
930 | 930 | return |
|
|
931 | 931 | |
|
|
932 | 932 | def putData(self): |
|
|
933 | 933 | |
|
|
934 | 934 | if self.blockIndex == self.blocksPerFile or self.timeFlag(): |
|
|
935 | 935 | self.setNextFile() |
|
|
936 | 936 | |
|
|
937 | 937 | # if not self.firsttime: |
|
|
938 | 938 | self.readBlock() |
|
|
939 | 939 | self.setBlock() #Prepare data to be written |
|
|
940 | 940 | self.writeBlock() #Write data |
|
|
941 | 941 | |
|
|
942 | 942 | return |
|
|
943 | 943 | |
|
|
944 | 944 | def readBlock(self): |
|
|
945 | 945 | |
|
|
946 | 946 | ''' |
|
|
947 | 947 | data Array configured |
|
|
948 | 948 | |
|
|
949 | 949 | |
|
|
950 | 950 | self.data |
|
|
951 | 951 | ''' |
|
|
952 | 952 | dsList = self.dsList |
|
|
953 | 953 | ds = self.ds |
|
|
954 | 954 | #Setting HDF5 File |
|
|
955 | 955 | fp = h5py.File(self.filename,'r+') |
|
|
956 | 956 | grp = fp["Data"] |
|
|
957 | 957 | ind = 0 |
|
|
958 | 958 | |
|
|
959 | 959 | # grp.attrs['blocksPerFile'] = 0 |
|
|
960 | 960 | while ind < len(dsList): |
|
|
961 | 961 | dsInfo = dsList[ind] |
|
|
962 | 962 | |
|
|
963 | 963 | if dsInfo['mode'] == 0: |
|
|
964 | 964 | ds0 = grp[dsInfo['variable']] |
|
|
965 | 965 | ds[ind] = ds0 |
|
|
966 | 966 | ind += 1 |
|
|
967 | 967 | else: |
|
|
968 | 968 | |
|
|
969 | 969 | grp0 = grp[dsInfo['variable']] |
|
|
970 | 970 | |
|
|
971 | 971 | for j in range(dsInfo['dsNumber']): |
|
|
972 | 972 | dsInfo = dsList[ind] |
|
|
973 | 973 | ds0 = grp0[dsInfo['dsName']] |
|
|
974 | 974 | ds[ind] = ds0 |
|
|
975 | 975 | ind += 1 |
|
|
976 | 976 | |
|
|
977 | 977 | self.fp = fp |
|
|
978 | 978 | self.grp = grp |
|
|
979 | 979 | self.ds = ds |
|
|
980 | 980 | |
|
|
981 | 981 | return |
|
|
982 | 982 | |
|
|
983 | 983 | def setBlock(self): |
|
|
984 | 984 | ''' |
|
|
985 | 985 | data Array configured |
|
|
986 | 986 | |
|
|
987 | 987 | |
|
|
988 | 988 | self.data |
|
|
989 | 989 | ''' |
|
|
990 | 990 | #Creating Arrays |
|
|
991 | 991 | dsList = self.dsList |
|
|
992 | 992 | data = self.data |
|
|
993 | 993 | ind = 0 |
|
|
994 | 994 | |
|
|
995 | 995 | while ind < len(dsList): |
|
|
996 | 996 | dsInfo = dsList[ind] |
|
|
997 | 997 | dataAux = getattr(self.dataOut, dsInfo['variable']) |
|
|
998 | 998 | |
|
|
999 | 999 | mode = dsInfo['mode'] |
|
|
1000 | 1000 | nDim = dsInfo['nDim'] |
|
|
1001 | 1001 | |
|
|
1002 | 1002 | if mode == 0 or mode == 2 or nDim == 1: |
|
|
1003 | 1003 | data[ind] = dataAux |
|
|
1004 | 1004 | ind += 1 |
|
|
1005 | 1005 | # elif nDim == 1: |
|
|
1006 | 1006 | # data[ind] = numpy.reshape(dataAux,(numpy.size(dataAux),1)) |
|
|
1007 | 1007 | # ind += 1 |
|
|
1008 | 1008 | elif nDim == 2: |
|
|
1009 | 1009 | for j in range(dsInfo['dsNumber']): |
|
|
1010 | 1010 | data[ind] = dataAux[j,:] |
|
|
1011 | 1011 | ind += 1 |
|
|
1012 | 1012 | elif nDim == 3: |
|
|
1013 | 1013 | for j in range(dsInfo['dsNumber']): |
|
|
1014 | 1014 | data[ind] = dataAux[:,j,:] |
|
|
1015 | 1015 | ind += 1 |
|
|
1016 | 1016 | |
|
|
1017 | 1017 | self.data = data |
|
|
1018 | 1018 | return |
|
|
1019 | 1019 | |
|
|
1020 | 1020 | def writeBlock(self): |
|
|
1021 | 1021 | ''' |
|
|
1022 | 1022 | Saves the block in the HDF5 file |
|
|
1023 | 1023 | ''' |
|
|
1024 | 1024 | dsList = self.dsList |
|
|
1025 | 1025 | |
|
|
1026 | 1026 | for i in range(len(self.ds)): |
|
|
1027 | 1027 | dsInfo = dsList[i] |
|
|
1028 | 1028 | nDim = dsInfo['nDim'] |
|
|
1029 | 1029 | mode = dsInfo['mode'] |
|
|
1030 | 1030 | |
|
|
1031 | 1031 | # First time |
|
|
1032 | 1032 | if self.firsttime: |
|
|
1033 | 1033 | # self.ds[i].resize(self.data[i].shape) |
|
|
1034 | 1034 | # self.ds[i][self.blockIndex,:] = self.data[i] |
|
|
1035 | 1035 | if type(self.data[i]) == numpy.ndarray: |
|
|
1036 | 1036 | |
|
|
1037 | 1037 | if nDim == 3: |
|
|
1038 | 1038 | self.data[i] = self.data[i].reshape((self.data[i].shape[0],self.data[i].shape[1],1)) |
|
|
1039 | 1039 | self.ds[i].resize(self.data[i].shape) |
|
|
1040 | 1040 | if mode == 2: |
|
|
1041 | 1041 | self.ds[i].resize(self.data[i].shape) |
|
|
1042 | 1042 | self.ds[i][:] = self.data[i] |
|
|
1043 | 1043 | else: |
|
|
1044 | 1044 | |
|
|
1045 | 1045 | # From second time |
|
|
1046 | 1046 | # Meteors! |
|
|
1047 | 1047 | if mode == 2: |
|
|
1048 | 1048 | dataShape = self.data[i].shape |
|
|
1049 | 1049 | dsShape = self.ds[i].shape |
|
|
1050 | 1050 | self.ds[i].resize((self.ds[i].shape[0] + dataShape[0],self.ds[i].shape[1])) |
|
|
1051 | 1051 | self.ds[i][dsShape[0]:,:] = self.data[i] |
|
|
1052 | 1052 | # No dimension |
|
|
1053 | 1053 | elif mode == 0: |
|
|
1054 | 1054 | self.ds[i].resize((self.ds[i].shape[0], self.ds[i].shape[1] + 1)) |
|
|
1055 | 1055 | self.ds[i][0,-1] = self.data[i] |
|
|
1056 | 1056 | # One dimension |
|
|
1057 | 1057 | elif nDim == 1: |
|
|
1058 | 1058 | self.ds[i].resize((self.ds[i].shape[0] + 1, self.ds[i].shape[1])) |
|
|
1059 | 1059 | self.ds[i][-1,:] = self.data[i] |
|
|
1060 | 1060 | # Two dimension |
|
|
1061 | 1061 | elif nDim == 2: |
|
|
1062 | 1062 | self.ds[i].resize((self.ds[i].shape[0] + 1,self.ds[i].shape[1])) |
|
|
1063 | 1063 | self.ds[i][self.blockIndex,:] = self.data[i] |
|
|
1064 | 1064 | # Three dimensions |
|
|
1065 | 1065 | elif nDim == 3: |
|
|
1066 | 1066 | self.ds[i].resize((self.ds[i].shape[0],self.ds[i].shape[1],self.ds[i].shape[2]+1)) |
|
|
1067 | 1067 | self.ds[i][:,:,-1] = self.data[i] |
|
|
1068 | 1068 | |
|
|
1069 | 1069 | self.firsttime = False |
|
|
1070 | 1070 | self.blockIndex += 1 |
|
|
1071 | 1071 | |
|
|
1072 | 1072 | #Close to save changes |
|
|
1073 | 1073 | self.fp.flush() |
|
|
1074 | 1074 | self.fp.close() |
|
|
1075 | 1075 | return |
|
|
1076 | 1076 | |
|
|
1077 | 1077 | def run(self, dataOut, **kwargs): |
|
|
1078 | 1078 | |
|
|
1079 | 1079 | if not(self.isConfig): |
|
|
1080 | 1080 | flagdata = self.setup(dataOut, **kwargs) |
|
|
1081 | 1081 | |
|
|
1082 | 1082 | if not(flagdata): |
|
|
1083 | 1083 | return |
|
|
1084 | 1084 | |
|
|
1085 | 1085 | self.isConfig = True |
|
|
1086 | 1086 | # self.putMetadata() |
|
|
1087 | 1087 | self.setNextFile() |
|
|
1088 | 1088 | |
|
|
1089 | 1089 | self.putData() |
|
|
1090 | 1090 | return |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
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| @@ -1,1237 +1,707 | |||
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|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import numpy |
|
|
7 | 7 | |
|
|
8 | 8 | from jroIO_base import LOCALTIME, JRODataReader, JRODataWriter |
|
|
9 | 9 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
10 | 10 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
11 | 11 | from schainpy.model.data.jrodata import Spectra |
|
|
12 | 12 | |
|
|
13 | 13 | class SpectraReader(JRODataReader, ProcessingUnit): |
|
|
14 | <<<<<<< HEAD | |
|
|
14 | ||
|
|
15 | 15 | """ |
|
|
16 | 16 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura |
|
|
17 | 17 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) |
|
|
18 | ======= | |
|
|
19 | """ | |
|
|
20 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura | |
|
|
21 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) | |
|
|
22 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
23 | 18 | son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel. |
|
|
24 | 19 |
|
|
|
25 | 20 | paresCanalesIguales * alturas * perfiles (Self Spectra) |
|
|
26 | 21 | paresCanalesDiferentes * alturas * perfiles (Cross Spectra) |
|
|
27 | 22 | canales * alturas (DC Channels) |
|
|
28 | 23 |
|
|
|
29 | <<<<<<< HEAD | |
|
|
24 | ||
|
|
30 | 25 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
31 | 26 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la |
|
|
32 | 27 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de |
|
|
33 | 28 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
34 | 29 |
|
|
|
35 | 30 | Example: |
|
|
36 | 31 | dpath = "/home/myuser/data" |
|
|
37 | 32 |
|
|
|
38 | 33 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
39 | 34 |
|
|
|
40 | 35 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
41 | 36 |
|
|
|
42 | 37 | readerObj = SpectraReader() |
|
|
43 | 38 |
|
|
|
44 | 39 | readerObj.setup(dpath, startTime, endTime) |
|
|
45 | 40 |
|
|
|
46 | 41 | while(True): |
|
|
47 | 42 |
|
|
|
48 | 43 | readerObj.getData() |
|
|
49 | 44 |
|
|
|
50 | 45 | print readerObj.data_spc |
|
|
51 | 46 |
|
|
|
52 | 47 | print readerObj.data_cspc |
|
|
53 | 48 |
|
|
|
54 | 49 | print readerObj.data_dc |
|
|
55 | 50 |
|
|
|
56 | 51 | if readerObj.flagNoMoreFiles: |
|
|
57 | 52 | break |
|
|
58 | 53 |
|
|
|
59 | 54 |
|
|
|
60 | 55 | |
|
|
61 | 56 | pts2read_SelfSpectra = 0 |
|
|
62 | 57 | |
|
|
63 | 58 | pts2read_CrossSpectra = 0 |
|
|
64 | 59 | |
|
|
65 | 60 | pts2read_DCchannels = 0 |
|
|
66 | 61 | |
|
|
67 | 62 | ext = ".pdata" |
|
|
68 | 63 | |
|
|
69 | 64 | optchar = "P" |
|
|
70 | 65 | |
|
|
71 | 66 | dataOut = None |
|
|
72 | 67 | |
|
|
73 | 68 | nRdChannels = None |
|
|
74 | 69 | |
|
|
75 | 70 | nRdPairs = None |
|
|
76 | 71 | |
|
|
77 | 72 | rdPairList = [] |
|
|
78 | 73 | |
|
|
79 | 74 | def __init__(self, **kwargs): |
|
|
80 | 75 |
|
|
|
81 | 76 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. |
|
|
82 | 77 |
|
|
|
83 | 78 | Inputs: |
|
|
84 | ======= | |
|
|
85 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, | |
|
|
86 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la | |
|
|
87 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de | |
|
|
88 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". | |
|
|
89 | ||
|
|
90 | Example: | |
|
|
91 | dpath = "/home/myuser/data" | |
|
|
92 | ||
|
|
93 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) | |
|
|
94 | ||
|
|
95 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) | |
|
|
96 | ||
|
|
97 | readerObj = SpectraReader() | |
|
|
98 | ||
|
|
99 | readerObj.setup(dpath, startTime, endTime) | |
|
|
100 | ||
|
|
101 | while(True): | |
|
|
102 | ||
|
|
103 | readerObj.getData() | |
|
|
104 | ||
|
|
105 | print readerObj.data_spc | |
|
|
106 | ||
|
|
107 | print readerObj.data_cspc | |
|
|
108 | ||
|
|
109 | print readerObj.data_dc | |
|
|
110 | ||
|
|
111 | if readerObj.flagNoMoreFiles: | |
|
|
112 | break | |
|
|
113 | ||
|
|
114 | """ | |
|
|
115 | ||
|
|
116 | pts2read_SelfSpectra = 0 | |
|
|
117 | ||
|
|
118 | pts2read_CrossSpectra = 0 | |
|
|
119 | ||
|
|
120 | pts2read_DCchannels = 0 | |
|
|
121 | ||
|
|
122 | ext = ".pdata" | |
|
|
123 | ||
|
|
124 | optchar = "P" | |
|
|
125 | ||
|
|
126 | dataOut = None | |
|
|
127 | ||
|
|
128 | nRdChannels = None | |
|
|
129 | ||
|
|
130 | nRdPairs = None | |
|
|
131 | ||
|
|
132 | rdPairList = [] | |
|
|
133 | ||
|
|
134 | def __init__(self): | |
|
|
135 | """ | |
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136 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. | |
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137 | 79 |
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138 | Inputs: | |
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139 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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140 | 80 | dataOut : Objeto de la clase Spectra. Este objeto sera utilizado para |
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141 | 81 | almacenar un perfil de datos cada vez que se haga un requerimiento |
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142 | 82 | (getData). El perfil sera obtenido a partir del buffer de datos, |
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143 | 83 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
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144 | 84 | bloque de datos. |
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145 | 85 | Si este parametro no es pasado se creara uno internamente. |
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146 | <<<<<<< HEAD | |
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147 | 86 |
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148 | Affected: | |
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149 | ======= | |
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150 | 87 |
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151 | 88 | Affected: |
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152 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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89 | ||
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153 | 90 | self.dataOut |
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154 | 91 |
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155 | 92 | Return : None |
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156 | 93 |
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157 | <<<<<<< HEAD | |
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158 | ||
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159 | #Eliminar de la base la herencia | |
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160 | ProcessingUnit.__init__(self, **kwargs) | |
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161 | ||
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162 | # self.isConfig = False | |
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163 | ||
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164 | self.pts2read_SelfSpectra = 0 | |
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165 | ||
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166 | self.pts2read_CrossSpectra = 0 | |
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167 | ||
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168 | self.pts2read_DCchannels = 0 | |
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169 | ||
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170 | self.datablock = None | |
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171 | ||
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172 | self.utc = None | |
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173 | ||
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174 | self.ext = ".pdata" | |
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175 | ||
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176 | self.optchar = "P" | |
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177 | ||
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178 | self.basicHeaderObj = BasicHeader(LOCALTIME) | |
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179 | ||
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180 | self.systemHeaderObj = SystemHeader() | |
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181 | ||
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182 | self.radarControllerHeaderObj = RadarControllerHeader() | |
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183 | ||
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184 | self.processingHeaderObj = ProcessingHeader() | |
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185 | ||
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186 | self.online = 0 | |
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187 | ||
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188 | self.fp = None | |
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189 | ||
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190 | self.idFile = None | |
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191 | ||
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192 | self.dtype = None | |
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193 | ||
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194 | self.fileSizeByHeader = None | |
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195 | ||
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196 | self.filenameList = [] | |
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197 | ||
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198 | self.filename = None | |
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199 | ||
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200 | self.fileSize = None | |
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201 | ||
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202 | self.firstHeaderSize = 0 | |
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203 | ||
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204 | self.basicHeaderSize = 24 | |
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205 | ||
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206 | self.pathList = [] | |
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207 | ||
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208 | self.lastUTTime = 0 | |
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209 | ||
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210 | self.maxTimeStep = 30 | |
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211 | ||
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212 | self.flagNoMoreFiles = 0 | |
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213 | ||
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214 | self.set = 0 | |
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215 | ||
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216 | self.path = None | |
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217 | ||
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218 | self.delay = 60 #seconds | |
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219 | ||
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220 | self.nTries = 3 #quantity tries | |
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221 | ||
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222 | self.nFiles = 3 #number of files for searching | |
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223 | ||
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224 | self.nReadBlocks = 0 | |
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225 | ||
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226 | self.flagIsNewFile = 1 | |
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227 | ||
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228 | self.__isFirstTimeOnline = 1 | |
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229 | ||
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230 | # self.ippSeconds = 0 | |
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231 | ||
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232 | self.flagDiscontinuousBlock = 0 | |
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233 | ||
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234 | self.flagIsNewBlock = 0 | |
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235 | 94 | |
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236 | self.nTotalBlocks = 0 | |
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237 | ||
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238 | self.blocksize = 0 | |
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239 | ||
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240 | self.dataOut = self.createObjByDefault() | |
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241 | ||
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242 | ======= | |
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243 | 95 | |
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244 | 96 | #Eliminar de la base la herencia |
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245 | ProcessingUnit.__init__(self) | |
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97 | ProcessingUnit.__init__(self, **kwargs) | |
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246 | 98 | |
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247 | 99 | # self.isConfig = False |
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248 | 100 | |
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249 | 101 | self.pts2read_SelfSpectra = 0 |
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250 | 102 | |
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251 | 103 | self.pts2read_CrossSpectra = 0 |
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252 | 104 | |
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253 | 105 | self.pts2read_DCchannels = 0 |
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254 | 106 | |
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255 | 107 | self.datablock = None |
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256 | 108 | |
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257 | 109 | self.utc = None |
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258 | 110 | |
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259 | 111 | self.ext = ".pdata" |
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260 | 112 | |
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261 | 113 | self.optchar = "P" |
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262 | 114 | |
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263 | 115 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
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264 | 116 | |
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265 | 117 | self.systemHeaderObj = SystemHeader() |
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266 | 118 | |
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267 | 119 | self.radarControllerHeaderObj = RadarControllerHeader() |
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268 | 120 | |
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269 | 121 | self.processingHeaderObj = ProcessingHeader() |
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270 | 122 | |
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271 | 123 | self.online = 0 |
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272 | 124 | |
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273 | 125 | self.fp = None |
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274 | 126 | |
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275 | 127 | self.idFile = None |
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276 | 128 | |
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277 | 129 | self.dtype = None |
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278 | 130 | |
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279 | 131 | self.fileSizeByHeader = None |
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280 | 132 | |
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281 | 133 | self.filenameList = [] |
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282 | 134 | |
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283 | 135 | self.filename = None |
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284 | 136 | |
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285 | 137 | self.fileSize = None |
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286 | 138 | |
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287 | 139 | self.firstHeaderSize = 0 |
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288 | 140 | |
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289 | 141 | self.basicHeaderSize = 24 |
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290 | 142 | |
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291 | 143 | self.pathList = [] |
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292 | 144 | |
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293 | 145 | self.lastUTTime = 0 |
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294 | 146 | |
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295 | 147 | self.maxTimeStep = 30 |
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296 | 148 | |
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297 | 149 | self.flagNoMoreFiles = 0 |
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298 | 150 | |
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299 | 151 | self.set = 0 |
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300 | 152 | |
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301 | 153 | self.path = None |
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302 | 154 | |
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303 | 155 | self.delay = 60 #seconds |
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304 | 156 | |
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305 | 157 | self.nTries = 3 #quantity tries |
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306 | 158 | |
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307 | 159 | self.nFiles = 3 #number of files for searching |
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308 | 160 | |
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309 | 161 | self.nReadBlocks = 0 |
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310 | 162 | |
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311 | 163 | self.flagIsNewFile = 1 |
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312 | 164 | |
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313 | 165 | self.__isFirstTimeOnline = 1 |
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314 | 166 | |
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315 | 167 | # self.ippSeconds = 0 |
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316 | 168 | |
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317 | 169 | self.flagDiscontinuousBlock = 0 |
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318 | 170 | |
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319 | 171 | self.flagIsNewBlock = 0 |
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320 | 172 | |
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321 | 173 | self.nTotalBlocks = 0 |
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322 | 174 | |
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323 | 175 | self.blocksize = 0 |
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324 | 176 | |
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325 | 177 | self.dataOut = self.createObjByDefault() |
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326 | 178 | |
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327 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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328 | 179 | self.profileIndex = 1 #Always |
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329 | 180 | |
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330 | 181 | |
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331 | 182 | def createObjByDefault(self): |
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332 | <<<<<<< HEAD | |
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333 | ||
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334 | dataObj = Spectra() | |
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335 | ||
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336 | return dataObj | |
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337 | ||
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338 | ======= | |
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339 | 183 | |
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340 | 184 | dataObj = Spectra() |
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341 | 185 | |
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342 | 186 | return dataObj |
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343 | 187 | |
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344 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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345 | 188 | def __hasNotDataInBuffer(self): |
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346 | 189 | return 1 |
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347 | 190 | |
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348 | 191 | |
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349 | 192 | def getBlockDimension(self): |
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350 | 193 |
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351 | 194 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
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352 | <<<<<<< HEAD | |
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353 | ||
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354 | ======= | |
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355 | 195 |
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356 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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357 | 196 | Affected: |
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358 | 197 | self.nRdChannels |
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359 | 198 | self.nRdPairs |
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360 | 199 | self.pts2read_SelfSpectra |
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361 | 200 | self.pts2read_CrossSpectra |
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362 | 201 | self.pts2read_DCchannels |
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363 | 202 | self.blocksize |
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364 | 203 | self.dataOut.nChannels |
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365 | 204 | self.dataOut.nPairs |
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366 | 205 |
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367 | 206 | Return: |
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368 | 207 | None |
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369 | 208 |
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370 | 209 | self.nRdChannels = 0 |
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371 | 210 | self.nRdPairs = 0 |
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372 | 211 | self.rdPairList = [] |
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373 | <<<<<<< HEAD | |
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374 | 212 | |
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375 | 213 | for i in range(0, self.processingHeaderObj.totalSpectra*2, 2): |
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376 | 214 | if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]: |
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377 | self.nRdChannels = self.nRdChannels + 1 #par de canales iguales | |
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378 | ======= | |
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379 | ||
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380 | ||
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381 | for i in range(0, self.processingHeaderObj.totalSpectra*2, 2): | |
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382 | if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]: | |
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383 | 215 | self.nRdChannels = self.nRdChannels + 1 #par de canales iguales |
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384 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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216 | ||
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385 | 217 | else: |
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386 | 218 | self.nRdPairs = self.nRdPairs + 1 #par de canales diferentes |
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387 | 219 | self.rdPairList.append((self.processingHeaderObj.spectraComb[i], self.processingHeaderObj.spectraComb[i+1])) |
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388 | 220 | |
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389 | 221 | pts2read = self.processingHeaderObj.nHeights * self.processingHeaderObj.profilesPerBlock |
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390 | <<<<<<< HEAD | |
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391 | ||
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392 | self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read) | |
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393 | self.blocksize = self.pts2read_SelfSpectra | |
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394 | ||
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395 | if self.processingHeaderObj.flag_cspc: | |
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396 | self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read) | |
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397 | self.blocksize += self.pts2read_CrossSpectra | |
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398 | ||
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399 | if self.processingHeaderObj.flag_dc: | |
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400 | self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights) | |
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401 | self.blocksize += self.pts2read_DCchannels | |
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402 | ||
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403 | # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels | |
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404 | ||
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405 | ||
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406 | ======= | |
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407 | 222 | |
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408 | 223 | self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read) |
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409 | 224 | self.blocksize = self.pts2read_SelfSpectra |
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410 | 225 | |
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411 | 226 | if self.processingHeaderObj.flag_cspc: |
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412 | 227 | self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read) |
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413 | 228 | self.blocksize += self.pts2read_CrossSpectra |
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414 | 229 | |
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415 | 230 | if self.processingHeaderObj.flag_dc: |
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416 | 231 | self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights) |
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417 | 232 | self.blocksize += self.pts2read_DCchannels |
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418 | 233 | |
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419 | 234 | # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels |
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420 | 235 | |
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421 | 236 | |
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422 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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423 | 237 | def readBlock(self): |
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424 | 238 |
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425 | 239 | Lee el bloque de datos desde la posicion actual del puntero del archivo |
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426 | 240 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
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427 | 241 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
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428 | 242 | es seteado a 0 |
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429 | <<<<<<< HEAD | |
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430 | ||
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431 | Return: None | |
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432 | ||
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433 | Variables afectadas: | |
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434 | ||
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435 | ======= | |
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436 | 243 |
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437 | 244 | Return: None |
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438 | 245 |
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439 | 246 | Variables afectadas: |
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440 | 247 |
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441 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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248 | ||
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442 | 249 | self.flagIsNewFile |
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443 | 250 | self.flagIsNewBlock |
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444 | 251 | self.nTotalBlocks |
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445 | 252 | self.data_spc |
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446 | 253 | self.data_cspc |
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447 | 254 | self.data_dc |
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448 | 255 |
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449 | <<<<<<< HEAD | |
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450 | Exceptions: | |
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451 | Si un bloque leido no es un bloque valido | |
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452 | """ | |
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453 | ======= | |
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454 | 256 | Exceptions: |
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455 | 257 | Si un bloque leido no es un bloque valido |
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456 | 258 | """ |
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457 | 259 | print ' ======================================================== ' |
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458 | 260 | print ' ' |
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459 | 261 | print ' ' |
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460 | 262 | print self.processingHeaderObj.totalSpectra, 'TotalSpectra', type(self.processingHeaderObj.totalSpectra) |
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461 | 263 | print self.processingHeaderObj.spectraComb, 'SpectraComb', type(self.processingHeaderObj.spectraComb) |
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462 | 264 | print ' ' |
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463 | 265 | print ' ' |
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464 | 266 | print ' ======================================================== ' |
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465 | 267 | |
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466 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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268 | ||
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467 | 269 | blockOk_flag = False |
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468 | 270 | fpointer = self.fp.tell() |
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469 | 271 | |
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470 | 272 | spc = numpy.fromfile( self.fp, self.dtype[0], self.pts2read_SelfSpectra ) |
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471 | 273 | spc = spc.reshape( (self.nRdChannels, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
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472 | <<<<<<< HEAD | |
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473 | ||
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474 | if self.processingHeaderObj.flag_cspc: | |
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475 | cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra ) | |
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476 | cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D | |
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477 | ||
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478 | if self.processingHeaderObj.flag_dc: | |
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479 | dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) ) | |
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480 | dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D | |
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481 | ||
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482 | 274 | |
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483 | ======= | |
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484 | ||
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485 | 275 | if self.processingHeaderObj.flag_cspc: |
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486 | 276 | cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra ) |
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487 | 277 | cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
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488 | 278 | |
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489 | 279 | if self.processingHeaderObj.flag_dc: |
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490 | 280 | dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) ) |
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491 | 281 | dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D |
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492 | 282 | |
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493 | 283 | |
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494 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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495 | 284 | if not(self.processingHeaderObj.shif_fft): |
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496 | 285 | #desplaza a la derecha en el eje 2 determinadas posiciones |
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497 | 286 | shift = int(self.processingHeaderObj.profilesPerBlock/2) |
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498 | 287 | spc = numpy.roll( spc, shift , axis=2 ) |
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499 | <<<<<<< HEAD | |
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500 | ||
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501 | if self.processingHeaderObj.flag_cspc: | |
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502 | #desplaza a la derecha en el eje 2 determinadas posiciones | |
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503 | cspc = numpy.roll( cspc, shift, axis=2 ) | |
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504 | ||
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505 | #Dimensions : nChannels, nProfiles, nSamples | |
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506 | spc = numpy.transpose( spc, (0,2,1) ) | |
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507 | self.data_spc = spc | |
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508 | ||
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509 | if self.processingHeaderObj.flag_cspc: | |
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510 | ======= | |
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511 | 288 | |
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512 | 289 | if self.processingHeaderObj.flag_cspc: |
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513 | 290 | #desplaza a la derecha en el eje 2 determinadas posiciones |
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514 | 291 | cspc = numpy.roll( cspc, shift, axis=2 ) |
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515 | 292 | |
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516 | 293 | #Dimensions : nChannels, nProfiles, nSamples |
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517 | 294 | spc = numpy.transpose( spc, (0,2,1) ) |
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518 | 295 | self.data_spc = spc |
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519 | 296 | |
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520 | 297 | if self.processingHeaderObj.flag_cspc: |
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521 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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298 | ||
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522 | 299 | cspc = numpy.transpose( cspc, (0,2,1) ) |
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523 | 300 | self.data_cspc = cspc['real'] + cspc['imag']*1j |
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524 | 301 | else: |
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525 | 302 | self.data_cspc = None |
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526 | <<<<<<< HEAD | |
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527 | ||
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528 | ======= | |
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529 | 303 | |
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530 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
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304 | ||
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531 | 305 | if self.processingHeaderObj.flag_dc: |
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532 | 306 | self.data_dc = dc['real'] + dc['imag']*1j |
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533 | 307 | else: |
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534 | 308 | self.data_dc = None |
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535 | 309 | |
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536 | 310 | self.flagIsNewFile = 0 |
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537 | 311 | self.flagIsNewBlock = 1 |
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538 | 312 | |
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539 | 313 | self.nTotalBlocks += 1 |
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|
540 | 314 | self.nReadBlocks += 1 |
|
|
541 | 315 | |
|
|
542 | 316 | return 1 |
|
|
543 | <<<<<<< HEAD | |
|
|
544 | ||
|
|
545 | def getFirstHeader(self): | |
|
|
546 | ||
|
|
547 | self.getBasicHeader() | |
|
|
548 | ||
|
|
549 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() | |
|
|
550 | ||
|
|
551 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() | |
|
|
552 | ||
|
|
553 | # self.dataOut.ippSeconds = self.ippSeconds | |
|
|
554 | ||
|
|
555 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.processingHeaderObj.profilesPerBlock | |
|
|
556 | ||
|
|
557 | self.dataOut.dtype = self.dtype | |
|
|
558 | ||
|
|
559 | # self.dataOut.nPairs = self.nPairs | |
|
|
560 | ||
|
|
561 | self.dataOut.pairsList = self.rdPairList | |
|
|
562 | ||
|
|
563 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock | |
|
|
564 | ||
|
|
565 | self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock | |
|
|
566 | ||
|
|
567 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt | |
|
|
568 | ||
|
|
569 | self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt | |
|
|
570 | ||
|
|
571 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight | |
|
|
572 | ||
|
|
573 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) | |
|
|
574 | ||
|
|
575 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) | |
|
|
576 | ||
|
|
577 | self.dataOut.flagShiftFFT = True #Data is always shifted | |
|
|
578 | ||
|
|
579 | self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode #asumo q la data no esta decodificada | |
|
|
580 | ||
|
|
581 | self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip #asumo q la data esta sin flip | |
|
|
582 | ||
|
|
583 | def getData(self): | |
|
|
584 | """ | |
|
|
585 | First method to execute before "RUN" is called. | |
|
|
586 | ||
|
|
587 | Copia el buffer de lectura a la clase "Spectra", | |
|
|
588 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de | |
|
|
589 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" | |
|
|
590 | ||
|
|
591 | Return: | |
|
|
592 | 0 : Si no hay mas archivos disponibles | |
|
|
593 | 1 : Si hizo una buena copia del buffer | |
|
|
594 | ||
|
|
595 | Affected: | |
|
|
596 | self.dataOut | |
|
|
597 | ||
|
|
598 | ======= | |
|
|
599 | 317 | |
|
|
600 | 318 | def getFirstHeader(self): |
|
|
601 | 319 | |
|
|
602 | 320 | self.getBasicHeader() |
|
|
603 | 321 | |
|
|
604 | 322 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
605 | 323 | |
|
|
606 | 324 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
607 | 325 | |
|
|
608 | 326 | # self.dataOut.ippSeconds = self.ippSeconds |
|
|
609 | 327 | |
|
|
610 | 328 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.processingHeaderObj.profilesPerBlock |
|
|
611 | 329 | |
|
|
612 | 330 | self.dataOut.dtype = self.dtype |
|
|
613 | 331 | |
|
|
614 | 332 | # self.dataOut.nPairs = self.nPairs |
|
|
615 | 333 | |
|
|
616 | 334 | self.dataOut.pairsList = self.rdPairList |
|
|
617 | 335 | |
|
|
618 | 336 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
619 | 337 | |
|
|
620 | 338 | self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock |
|
|
621 | 339 | |
|
|
622 | 340 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
623 | 341 | |
|
|
624 | 342 | self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt |
|
|
625 | 343 | |
|
|
626 | 344 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
|
627 | 345 | |
|
|
628 | 346 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|
629 | 347 | |
|
|
630 | 348 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
631 | 349 | |
|
|
632 | 350 | self.dataOut.flagShiftFFT = True #Data is always shifted |
|
|
633 | 351 | |
|
|
634 | 352 | self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode #asumo q la data no esta decodificada |
|
|
635 | 353 | |
|
|
636 | 354 | self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip #asumo q la data esta sin flip |
|
|
637 | 355 | |
|
|
638 | 356 | def getData(self): |
|
|
639 | 357 |
|
|
|
640 | 358 | First method to execute before "RUN" is called. |
|
|
641 | 359 |
|
|
|
642 | 360 | Copia el buffer de lectura a la clase "Spectra", |
|
|
643 | 361 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
|
644 | 362 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
|
645 | 363 |
|
|
|
646 | 364 | Return: |
|
|
647 | 365 | 0 : Si no hay mas archivos disponibles |
|
|
648 | 366 | 1 : Si hizo una buena copia del buffer |
|
|
649 | 367 |
|
|
|
650 | 368 | Affected: |
|
|
651 | 369 | self.dataOut |
|
|
652 | 370 |
|
|
|
653 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
654 | 371 | self.flagDiscontinuousBlock |
|
|
655 | 372 | self.flagIsNewBlock |
|
|
656 | 373 |
|
|
|
657 | 374 | |
|
|
658 | 375 | if self.flagNoMoreFiles: |
|
|
659 | 376 | self.dataOut.flagNoData = True |
|
|
660 | 377 | print 'Process finished' |
|
|
661 | 378 | return 0 |
|
|
662 | <<<<<<< HEAD | |
|
|
663 | ||
|
|
664 | self.flagDiscontinuousBlock = 0 | |
|
|
665 | self.flagIsNewBlock = 0 | |
|
|
666 | ||
|
|
667 | if self.__hasNotDataInBuffer(): | |
|
|
668 | ======= | |
|
|
669 | 379 | |
|
|
670 | 380 | self.flagDiscontinuousBlock = 0 |
|
|
671 | 381 | self.flagIsNewBlock = 0 |
|
|
672 | 382 | |
|
|
673 | 383 | if self.__hasNotDataInBuffer(): |
|
|
674 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
675 | 384 | |
|
|
676 | 385 | if not( self.readNextBlock() ): |
|
|
677 | 386 | self.dataOut.flagNoData = True |
|
|
678 | 387 | return 0 |
|
|
679 | <<<<<<< HEAD | |
|
|
680 | ||
|
|
681 | ======= | |
|
|
682 | 388 | |
|
|
683 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
389 | ||
|
|
684 | 390 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
|
685 | 391 | |
|
|
686 | 392 | if self.data_spc is None: |
|
|
687 | 393 | self.dataOut.flagNoData = True |
|
|
688 | 394 | return 0 |
|
|
689 | <<<<<<< HEAD | |
|
|
690 | ||
|
|
691 | self.getBasicHeader() | |
|
|
692 | ||
|
|
693 | self.getFirstHeader() | |
|
|
694 | ||
|
|
695 | self.dataOut.data_spc = self.data_spc | |
|
|
696 | ||
|
|
697 | self.dataOut.data_cspc = self.data_cspc | |
|
|
698 | ||
|
|
699 | self.dataOut.data_dc = self.data_dc | |
|
|
700 | ||
|
|
701 | self.dataOut.flagNoData = False | |
|
|
702 | ||
|
|
703 | self.dataOut.realtime = self.online | |
|
|
704 | ||
|
|
705 | return self.dataOut.data_spc | |
|
|
706 | ||
|
|
707 | class SpectraWriter(JRODataWriter, Operation): | |
|
|
708 | ||
|
|
709 | """ | |
|
|
710 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura | |
|
|
711 | de los datos siempre se realiza por bloques. | |
|
|
712 | """ | |
|
|
713 | ||
|
|
714 | ext = ".pdata" | |
|
|
715 | ||
|
|
716 | optchar = "P" | |
|
|
717 | ||
|
|
718 | shape_spc_Buffer = None | |
|
|
719 | ||
|
|
720 | shape_cspc_Buffer = None | |
|
|
721 | ||
|
|
722 | shape_dc_Buffer = None | |
|
|
723 | ||
|
|
724 | data_spc = None | |
|
|
725 | ||
|
|
726 | data_cspc = None | |
|
|
727 | ||
|
|
728 | data_dc = None | |
|
|
729 | ||
|
|
730 | # dataOut = None | |
|
|
731 | ||
|
|
732 | def __init__(self, **kwargs): | |
|
|
733 | """ | |
|
|
734 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. | |
|
|
735 | ||
|
|
736 | Affected: | |
|
|
737 | ======= | |
|
|
738 | 395 | |
|
|
739 | 396 | self.getBasicHeader() |
|
|
740 | 397 | |
|
|
741 | 398 | self.getFirstHeader() |
|
|
742 | 399 | |
|
|
743 | 400 | self.dataOut.data_spc = self.data_spc |
|
|
744 | 401 | |
|
|
745 | 402 | self.dataOut.data_cspc = self.data_cspc |
|
|
746 | 403 | |
|
|
747 | 404 | self.dataOut.data_dc = self.data_dc |
|
|
748 | 405 | |
|
|
749 | 406 | self.dataOut.flagNoData = False |
|
|
750 | 407 | |
|
|
751 | 408 | self.dataOut.realtime = self.online |
|
|
752 | 409 | |
|
|
753 | 410 | return self.dataOut.data_spc |
|
|
754 | 411 | |
|
|
755 | 412 | class SpectraWriter(JRODataWriter, Operation): |
|
|
756 | 413 | |
|
|
757 | 414 | """ |
|
|
758 | 415 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura |
|
|
759 | 416 | de los datos siempre se realiza por bloques. |
|
|
760 | 417 | """ |
|
|
761 | 418 | |
|
|
762 | 419 | ext = ".pdata" |
|
|
763 | 420 | |
|
|
764 | 421 | optchar = "P" |
|
|
765 | 422 | |
|
|
766 | 423 | shape_spc_Buffer = None |
|
|
767 | 424 | |
|
|
768 | 425 | shape_cspc_Buffer = None |
|
|
769 | 426 | |
|
|
770 | 427 | shape_dc_Buffer = None |
|
|
771 | 428 | |
|
|
772 | 429 | data_spc = None |
|
|
773 | 430 | |
|
|
774 | 431 | data_cspc = None |
|
|
775 | 432 | |
|
|
776 | 433 | data_dc = None |
|
|
777 | 434 | |
|
|
778 | 435 | # dataOut = None |
|
|
779 | 436 | |
|
|
780 | 437 | def __init__(self): |
|
|
781 | 438 | """ |
|
|
782 | 439 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. |
|
|
783 | 440 | |
|
|
784 | 441 | Affected: |
|
|
785 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
442 | ||
|
|
786 | 443 | self.dataOut |
|
|
787 | 444 | self.basicHeaderObj |
|
|
788 | 445 | self.systemHeaderObj |
|
|
789 | 446 | self.radarControllerHeaderObj |
|
|
790 | 447 | self.processingHeaderObj |
|
|
791 | 448 | |
|
|
792 | 449 | Return: None |
|
|
793 | 450 | """ |
|
|
794 | <<<<<<< HEAD | |
|
|
795 | ||
|
|
796 | Operation.__init__(self, **kwargs) | |
|
|
797 | ||
|
|
798 | self.isConfig = False | |
|
|
799 | ||
|
|
800 | self.nTotalBlocks = 0 | |
|
|
801 | ||
|
|
802 | self.data_spc = None | |
|
|
803 | ||
|
|
804 | self.data_cspc = None | |
|
|
805 | ||
|
|
806 | ======= | |
|
|
807 | 451 | |
|
|
808 | 452 | Operation.__init__(self) |
|
|
809 | 453 | |
|
|
810 | 454 | self.isConfig = False |
|
|
811 | 455 | |
|
|
812 | 456 | self.nTotalBlocks = 0 |
|
|
813 | 457 | |
|
|
814 | 458 | self.data_spc = None |
|
|
815 | 459 | |
|
|
816 | 460 | self.data_cspc = None |
|
|
817 | 461 | |
|
|
818 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
462 | ||
|
|
819 | 463 | self.data_dc = None |
|
|
820 | 464 | |
|
|
821 | 465 | self.fp = None |
|
|
822 | 466 | |
|
|
823 | 467 | self.flagIsNewFile = 1 |
|
|
824 | <<<<<<< HEAD | |
|
|
825 | ||
|
|
826 | self.nTotalBlocks = 0 | |
|
|
827 | ||
|
|
828 | self.flagIsNewBlock = 0 | |
|
|
829 | ||
|
|
830 | self.setFile = None | |
|
|
831 | ||
|
|
832 | self.dtype = None | |
|
|
833 | ||
|
|
834 | self.path = None | |
|
|
835 | ||
|
|
836 | self.noMoreFiles = 0 | |
|
|
837 | ||
|
|
838 | self.filename = None | |
|
|
839 | ||
|
|
840 | self.basicHeaderObj = BasicHeader(LOCALTIME) | |
|
|
841 | ||
|
|
842 | self.systemHeaderObj = SystemHeader() | |
|
|
843 | ||
|
|
844 | self.radarControllerHeaderObj = RadarControllerHeader() | |
|
|
845 | ||
|
|
846 | self.processingHeaderObj = ProcessingHeader() | |
|
|
847 | ||
|
|
848 | ||
|
|
849 | def hasAllDataInBuffer(self): | |
|
|
850 | return 1 | |
|
|
851 | ||
|
|
852 | ||
|
|
853 | ======= | |
|
|
854 | 468 | |
|
|
855 | 469 | self.nTotalBlocks = 0 |
|
|
856 | 470 | |
|
|
857 | 471 | self.flagIsNewBlock = 0 |
|
|
858 | 472 | |
|
|
859 | 473 | self.setFile = None |
|
|
860 | 474 | |
|
|
861 | 475 | self.dtype = None |
|
|
862 | 476 | |
|
|
863 | 477 | self.path = None |
|
|
864 | 478 | |
|
|
865 | 479 | self.noMoreFiles = 0 |
|
|
866 | 480 | |
|
|
867 | 481 | self.filename = None |
|
|
868 | 482 | |
|
|
869 | 483 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
870 | 484 | |
|
|
871 | 485 | self.systemHeaderObj = SystemHeader() |
|
|
872 | 486 | |
|
|
873 | 487 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
874 | 488 | |
|
|
875 | 489 | self.processingHeaderObj = ProcessingHeader() |
|
|
876 | 490 | |
|
|
877 | 491 | |
|
|
878 | 492 | def hasAllDataInBuffer(self): |
|
|
879 | 493 | return 1 |
|
|
880 | 494 | |
|
|
881 | 495 | |
|
|
882 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
496 | ||
|
|
883 | 497 | def setBlockDimension(self): |
|
|
884 | 498 | """ |
|
|
885 | 499 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
886 | 500 | |
|
|
887 | 501 | Affected: |
|
|
888 | 502 | self.shape_spc_Buffer |
|
|
889 | 503 | self.shape_cspc_Buffer |
|
|
890 | 504 | self.shape_dc_Buffer |
|
|
891 | 505 | |
|
|
892 | 506 | Return: None |
|
|
893 | 507 | """ |
|
|
894 | 508 | self.shape_spc_Buffer = (self.dataOut.nChannels, |
|
|
895 | 509 | self.processingHeaderObj.nHeights, |
|
|
896 | 510 | self.processingHeaderObj.profilesPerBlock) |
|
|
897 | 511 | |
|
|
898 | 512 | self.shape_cspc_Buffer = (self.dataOut.nPairs, |
|
|
899 | 513 | self.processingHeaderObj.nHeights, |
|
|
900 | 514 | self.processingHeaderObj.profilesPerBlock) |
|
|
901 | <<<<<<< HEAD | |
|
|
902 | ||
|
|
903 | self.shape_dc_Buffer = (self.dataOut.nChannels, | |
|
|
904 | self.processingHeaderObj.nHeights) | |
|
|
905 | ||
|
|
906 | ||
|
|
907 | def writeBlock(self): | |
|
|
908 | """ | |
|
|
909 | Escribe el buffer en el file designado | |
|
|
910 | ||
|
|
911 | ======= | |
|
|
912 | 515 | |
|
|
913 | 516 | self.shape_dc_Buffer = (self.dataOut.nChannels, |
|
|
914 | 517 | self.processingHeaderObj.nHeights) |
|
|
915 | 518 | |
|
|
916 | 519 | |
|
|
917 | 520 | def writeBlock(self): |
|
|
918 | 521 |
|
|
|
919 | 522 | Escribe el buffer en el file designado |
|
|
920 | 523 |
|
|
|
921 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
524 | ||
|
|
922 | 525 | Affected: |
|
|
923 | 526 | self.data_spc |
|
|
924 | 527 | self.data_cspc |
|
|
925 | 528 | self.data_dc |
|
|
926 | 529 | self.flagIsNewFile |
|
|
927 | 530 | self.flagIsNewBlock |
|
|
928 | 531 | self.nTotalBlocks |
|
|
929 | <<<<<<< HEAD | |
|
|
930 | self.nWriteBlocks | |
|
|
931 | ||
|
|
932 | Return: None | |
|
|
933 | """ | |
|
|
934 | ||
|
|
935 | ======= | |
|
|
936 | 532 | self.nWriteBlocks |
|
|
937 | 533 | |
|
|
938 | 534 | Return: None |
|
|
939 | 535 | """ |
|
|
940 | 536 | |
|
|
941 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
942 | 537 | spc = numpy.transpose( self.data_spc, (0,2,1) ) |
|
|
943 | 538 | if not( self.processingHeaderObj.shif_fft ): |
|
|
944 | 539 | spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
945 | 540 | data = spc.reshape((-1)) |
|
|
946 | 541 | data = data.astype(self.dtype[0]) |
|
|
947 | 542 | data.tofile(self.fp) |
|
|
948 | 543 | |
|
|
949 | 544 | if self.data_cspc is not None: |
|
|
950 | 545 | data = numpy.zeros( self.shape_cspc_Buffer, self.dtype ) |
|
|
951 | 546 | cspc = numpy.transpose( self.data_cspc, (0,2,1) ) |
|
|
952 | 547 | if not( self.processingHeaderObj.shif_fft ): |
|
|
953 | 548 | cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
954 | 549 | data['real'] = cspc.real |
|
|
955 | 550 | data['imag'] = cspc.imag |
|
|
956 | 551 | data = data.reshape((-1)) |
|
|
957 | 552 | data.tofile(self.fp) |
|
|
958 | <<<<<<< HEAD | |
|
|
959 | ||
|
|
960 | ======= | |
|
|
961 | 553 | |
|
|
962 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
554 | ||
|
|
963 | 555 | if self.data_dc is not None: |
|
|
964 | 556 | data = numpy.zeros( self.shape_dc_Buffer, self.dtype ) |
|
|
965 | 557 | dc = self.data_dc |
|
|
966 | 558 | data['real'] = dc.real |
|
|
967 | 559 | data['imag'] = dc.imag |
|
|
968 | 560 | data = data.reshape((-1)) |
|
|
969 | 561 | data.tofile(self.fp) |
|
|
970 | 562 | |
|
|
971 | 563 | # self.data_spc.fill(0) |
|
|
972 | <<<<<<< HEAD | |
|
|
973 | # | |
|
|
974 | # if self.data_dc is not None: | |
|
|
975 | # self.data_dc.fill(0) | |
|
|
976 | # | |
|
|
977 | # if self.data_cspc is not None: | |
|
|
978 | # self.data_cspc.fill(0) | |
|
|
979 | ||
|
|
980 | ======= | |
|
|
981 | 564 | # |
|
|
982 | 565 | # if self.data_dc is not None: |
|
|
983 | 566 | # self.data_dc.fill(0) |
|
|
984 | 567 | # |
|
|
985 | 568 | # if self.data_cspc is not None: |
|
|
986 | 569 | # self.data_cspc.fill(0) |
|
|
987 | 570 | |
|
|
988 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
571 | ||
|
|
989 | 572 | self.flagIsNewFile = 0 |
|
|
990 | 573 | self.flagIsNewBlock = 1 |
|
|
991 | 574 | self.nTotalBlocks += 1 |
|
|
992 | 575 | self.nWriteBlocks += 1 |
|
|
993 | 576 | self.blockIndex += 1 |
|
|
994 | <<<<<<< HEAD | |
|
|
995 | ||
|
|
996 | # print "[Writing] Block = %d04" %self.blockIndex | |
|
|
997 | ||
|
|
998 | def putData(self): | |
|
|
999 | """ | |
|
|
1000 | Setea un bloque de datos y luego los escribe en un file | |
|
|
1001 | ||
|
|
1002 | ======= | |
|
|
1003 | 577 | |
|
|
1004 | 578 | # print "[Writing] Block = %d04" %self.blockIndex |
|
|
1005 | 579 | |
|
|
1006 | 580 | def putData(self): |
|
|
1007 | 581 |
|
|
|
1008 | 582 | Setea un bloque de datos y luego los escribe en un file |
|
|
1009 | 583 |
|
|
|
1010 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
584 | ||
|
|
1011 | 585 | Affected: |
|
|
1012 | 586 | self.data_spc |
|
|
1013 | 587 | self.data_cspc |
|
|
1014 | 588 | self.data_dc |
|
|
1015 | 589 |
|
|
|
1016 | <<<<<<< HEAD | |
|
|
1017 | Return: | |
|
|
1018 | 0 : Si no hay data o no hay mas files que puedan escribirse | |
|
|
1019 | 1 : Si se escribio la data de un bloque en un file | |
|
|
1020 | """ | |
|
|
1021 | ||
|
|
1022 | if self.dataOut.flagNoData: | |
|
|
1023 | return 0 | |
|
|
1024 | ||
|
|
1025 | self.flagIsNewBlock = 0 | |
|
|
1026 | ||
|
|
1027 | if self.dataOut.flagDiscontinuousBlock: | |
|
|
1028 | self.data_spc.fill(0) | |
|
|
1029 | if self.dataOut.data_cspc is not None: | |
|
|
1030 | self.data_cspc.fill(0) | |
|
|
1031 | if self.dataOut.data_dc is not None: | |
|
|
1032 | self.data_dc.fill(0) | |
|
|
1033 | self.setNextFile() | |
|
|
1034 | ||
|
|
1035 | if self.flagIsNewFile == 0: | |
|
|
1036 | self.setBasicHeader() | |
|
|
1037 | ||
|
|
1038 | self.data_spc = self.dataOut.data_spc.copy() | |
|
|
1039 | ||
|
|
1040 | if self.dataOut.data_cspc is not None: | |
|
|
1041 | self.data_cspc = self.dataOut.data_cspc.copy() | |
|
|
1042 | ||
|
|
1043 | if self.dataOut.data_dc is not None: | |
|
|
1044 | self.data_dc = self.dataOut.data_dc.copy() | |
|
|
1045 | ||
|
|
1046 | ======= | |
|
|
1047 | 590 | Return: |
|
|
1048 | 591 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
1049 | 592 | 1 : Si se escribio la data de un bloque en un file |
|
|
1050 | 593 | """ |
|
|
1051 | 594 | |
|
|
1052 | 595 | if self.dataOut.flagNoData: |
|
|
1053 | 596 | return 0 |
|
|
1054 | 597 | |
|
|
1055 | 598 | self.flagIsNewBlock = 0 |
|
|
1056 | 599 | |
|
|
1057 | 600 | if self.dataOut.flagDiscontinuousBlock: |
|
|
1058 | 601 | self.data_spc.fill(0) |
|
|
1059 | 602 | self.data_cspc.fill(0) |
|
|
1060 | 603 | self.data_dc.fill(0) |
|
|
1061 | 604 | self.setNextFile() |
|
|
1062 | 605 | |
|
|
1063 | 606 | if self.flagIsNewFile == 0: |
|
|
1064 | 607 | self.setBasicHeader() |
|
|
1065 | 608 | |
|
|
1066 | 609 | self.data_spc = self.dataOut.data_spc.copy() |
|
|
1067 | 610 | |
|
|
1068 | 611 | if self.dataOut.data_cspc is not None: |
|
|
1069 | 612 | self.data_cspc = self.dataOut.data_cspc.copy() |
|
|
1070 | 613 | |
|
|
1071 | 614 | if self.dataOut.data_dc is not None: |
|
|
1072 | 615 | self.data_dc = self.dataOut.data_dc.copy() |
|
|
1073 | 616 | |
|
|
1074 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
1075 | 617 | # #self.processingHeaderObj.dataBlocksPerFile) |
|
|
1076 | 618 | if self.hasAllDataInBuffer(): |
|
|
1077 | 619 | # self.setFirstHeader() |
|
|
1078 | 620 | self.writeNextBlock() |
|
|
1079 | <<<<<<< HEAD | |
|
|
1080 | ||
|
|
1081 | return 1 | |
|
|
1082 | ||
|
|
1083 | ======= | |
|
|
1084 | 621 | |
|
|
1085 | 622 | return 1 |
|
|
1086 | 623 | |
|
|
1087 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
624 | ||
|
|
1088 | 625 | def __getBlockSize(self): |
|
|
1089 | 626 | ''' |
|
|
1090 | 627 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra |
|
|
1091 | 628 | ''' |
|
|
1092 | <<<<<<< HEAD | |
|
|
1093 | ||
|
|
1094 | dtype_width = self.getDtypeWidth() | |
|
|
1095 | ||
|
|
1096 | pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints | |
|
|
1097 | ||
|
|
1098 | pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write) | |
|
|
1099 | blocksize = (pts2write_SelfSpectra*dtype_width) | |
|
|
1100 | ||
|
|
1101 | if self.dataOut.data_cspc is not None: | |
|
|
1102 | pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write) | |
|
|
1103 | blocksize += (pts2write_CrossSpectra*dtype_width*2) | |
|
|
1104 | ||
|
|
1105 | if self.dataOut.data_dc is not None: | |
|
|
1106 | pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights) | |
|
|
1107 | blocksize += (pts2write_DCchannels*dtype_width*2) | |
|
|
1108 | ||
|
|
1109 | # blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO | |
|
|
1110 | ||
|
|
1111 | return blocksize | |
|
|
1112 | ||
|
|
1113 | def setFirstHeader(self): | |
|
|
1114 | ||
|
|
1115 | """ | |
|
|
1116 | Obtiene una copia del First Header | |
|
|
1117 | ||
|
|
1118 | ======= | |
|
|
1119 | 629 | |
|
|
1120 | 630 | dtype_width = self.getDtypeWidth() |
|
|
1121 | 631 | |
|
|
1122 | 632 | pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints |
|
|
1123 | 633 | |
|
|
1124 | 634 | pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write) |
|
|
1125 | 635 | blocksize = (pts2write_SelfSpectra*dtype_width) |
|
|
1126 | 636 | |
|
|
1127 | 637 | if self.dataOut.data_cspc is not None: |
|
|
1128 | 638 | pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write) |
|
|
1129 | 639 | blocksize += (pts2write_CrossSpectra*dtype_width*2) |
|
|
1130 | 640 | |
|
|
1131 | 641 | if self.dataOut.data_dc is not None: |
|
|
1132 | 642 | pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights) |
|
|
1133 | 643 | blocksize += (pts2write_DCchannels*dtype_width*2) |
|
|
1134 | 644 | |
|
|
1135 | 645 | # blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO |
|
|
1136 | 646 | |
|
|
1137 | 647 | return blocksize |
|
|
1138 | 648 | |
|
|
1139 | 649 | def setFirstHeader(self): |
|
|
1140 | 650 | |
|
|
1141 | 651 | """ |
|
|
1142 | 652 | Obtiene una copia del First Header |
|
|
1143 | 653 |
|
|
|
1144 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
1145 | 654 | Affected: |
|
|
1146 | 655 | self.systemHeaderObj |
|
|
1147 | 656 | self.radarControllerHeaderObj |
|
|
1148 | 657 | self.dtype |
|
|
1149 | 658 |
|
|
|
1150 | <<<<<<< HEAD | |
|
|
1151 | Return: | |
|
|
1152 | None | |
|
|
1153 | """ | |
|
|
1154 | ||
|
|
1155 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() | |
|
|
1156 | self.systemHeaderObj.nChannels = self.dataOut.nChannels | |
|
|
1157 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() | |
|
|
1158 | ||
|
|
1159 | ======= | |
|
|
1160 | 659 | Return: |
|
|
1161 | 660 | None |
|
|
1162 | 661 | """ |
|
|
1163 | 662 | |
|
|
1164 | 663 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
1165 | 664 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
1166 | 665 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
1167 | 666 | |
|
|
1168 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
1169 | 667 | self.processingHeaderObj.dtype = 1 # Spectra |
|
|
1170 | 668 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
1171 | 669 | self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints |
|
|
1172 | 670 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
1173 | 671 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
1174 | 672 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval |
|
|
1175 | <<<<<<< HEAD | |
|
|
1176 | self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt | |
|
|
1177 | self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels | |
|
|
1178 | self.processingHeaderObj.shif_fft = self.dataOut.flagShiftFFT | |
|
|
1179 | ||
|
|
1180 | ======= | |
|
|
1181 | 673 | self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt |
|
|
1182 | 674 | self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels |
|
|
1183 | 675 | self.processingHeaderObj.shif_fft = self.dataOut.flagShiftFFT |
|
|
1184 | 676 | |
|
|
1185 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
677 | ||
|
|
1186 | 678 | if self.processingHeaderObj.totalSpectra > 0: |
|
|
1187 | 679 | channelList = [] |
|
|
1188 | 680 | for channel in range(self.dataOut.nChannels): |
|
|
1189 | 681 | channelList.append(channel) |
|
|
1190 | 682 | channelList.append(channel) |
|
|
1191 | <<<<<<< HEAD | |
|
|
1192 | ||
|
|
1193 | ======= | |
|
|
1194 | 683 | |
|
|
1195 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
1196 | 684 | pairsList = [] |
|
|
1197 | 685 | if self.dataOut.nPairs > 0: |
|
|
1198 | 686 | for pair in self.dataOut.pairsList: |
|
|
1199 | 687 | pairsList.append(pair[0]) |
|
|
1200 | 688 | pairsList.append(pair[1]) |
|
|
1201 | <<<<<<< HEAD | |
|
|
1202 | ||
|
|
1203 | spectraComb = channelList + pairsList | |
|
|
1204 | spectraComb = numpy.array(spectraComb, dtype="u1") | |
|
|
1205 | self.processingHeaderObj.spectraComb = spectraComb | |
|
|
1206 | ||
|
|
1207 | ======= | |
|
|
1208 | 689 | |
|
|
1209 | 690 | spectraComb = channelList + pairsList |
|
|
1210 | 691 | spectraComb = numpy.array(spectraComb, dtype="u1") |
|
|
1211 | 692 | self.processingHeaderObj.spectraComb = spectraComb |
|
|
1212 | 693 | |
|
|
1213 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
1214 | 694 | if self.dataOut.code is not None: |
|
|
1215 | 695 | self.processingHeaderObj.code = self.dataOut.code |
|
|
1216 | 696 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
1217 | 697 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
1218 | <<<<<<< HEAD | |
|
|
1219 | ||
|
|
1220 | ======= | |
|
|
1221 | 698 | |
|
|
1222 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
1223 | 699 | if self.processingHeaderObj.nWindows != 0: |
|
|
1224 | 700 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
1225 | 701 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
1226 | 702 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
1227 | 703 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
1228 | <<<<<<< HEAD | |
|
|
1229 | ||
|
|
1230 | self.processingHeaderObj.processFlags = self.getProcessFlags() | |
|
|
1231 | ||
|
|
1232 | ======= | |
|
|
1233 | 704 | |
|
|
1234 | 705 | self.processingHeaderObj.processFlags = self.getProcessFlags() |
|
|
1235 | 706 | |
|
|
1236 | >>>>>>> 08c4507d6c3c48f6c52326d5dedfa1972fb26356 | |
|
|
1237 | 707 | self.setBasicHeader() |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
| @@ -1,637 +1,643 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | import numpy |
|
|
8 | 8 | |
|
|
9 | 9 | from jroIO_base import LOCALTIME, JRODataReader, JRODataWriter |
|
|
10 | 10 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
11 | 11 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
12 | 12 | from schainpy.model.data.jrodata import Voltage |
|
|
13 | 13 | # from _sha import blocksize |
|
|
14 | 14 | |
|
|
15 | 15 | class VoltageReader(JRODataReader, ProcessingUnit): |
|
|
16 | 16 | """ |
|
|
17 | 17 | Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura |
|
|
18 | 18 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones: |
|
|
19 | 19 | perfiles*alturas*canales) son almacenados en la variable "buffer". |
|
|
20 | 20 | |
|
|
21 | 21 | perfiles * alturas * canales |
|
|
22 | 22 | |
|
|
23 | 23 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
24 | 24 | RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la |
|
|
25 | 25 | cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de |
|
|
26 | 26 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
27 | 27 | |
|
|
28 | 28 | Example: |
|
|
29 | 29 | |
|
|
30 | 30 | dpath = "/home/myuser/data" |
|
|
31 | 31 | |
|
|
32 | 32 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
33 | 33 | |
|
|
34 | 34 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
35 | 35 | |
|
|
36 | 36 | readerObj = VoltageReader() |
|
|
37 | 37 | |
|
|
38 | 38 | readerObj.setup(dpath, startTime, endTime) |
|
|
39 | 39 | |
|
|
40 | 40 | while(True): |
|
|
41 | 41 | |
|
|
42 | 42 | #to get one profile |
|
|
43 | 43 | profile = readerObj.getData() |
|
|
44 | 44 | |
|
|
45 | 45 | #print the profile |
|
|
46 | 46 | print profile |
|
|
47 | 47 | |
|
|
48 | 48 | #If you want to see all datablock |
|
|
49 | 49 | print readerObj.datablock |
|
|
50 | 50 | |
|
|
51 | 51 | if readerObj.flagNoMoreFiles: |
|
|
52 | 52 | break |
|
|
53 | 53 | |
|
|
54 | 54 | """ |
|
|
55 | 55 | |
|
|
56 | 56 | ext = ".r" |
|
|
57 | 57 | |
|
|
58 | 58 | optchar = "D" |
|
|
59 | 59 | dataOut = None |
|
|
60 | 60 | |
|
|
61 | 61 | def __init__(self, **kwargs): |
|
|
62 | 62 | """ |
|
|
63 | 63 | Inicializador de la clase VoltageReader para la lectura de datos de voltage. |
|
|
64 | 64 | |
|
|
65 | 65 | Input: |
|
|
66 | 66 | dataOut : Objeto de la clase Voltage. Este objeto sera utilizado para |
|
|
67 | 67 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
68 | 68 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
69 | 69 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
70 | 70 | bloque de datos. |
|
|
71 | 71 | Si este parametro no es pasado se creara uno internamente. |
|
|
72 | 72 | |
|
|
73 | 73 | Variables afectadas: |
|
|
74 | 74 | self.dataOut |
|
|
75 | 75 | |
|
|
76 | 76 | Return: |
|
|
77 | 77 | None |
|
|
78 | 78 | """ |
|
|
79 | 79 | |
|
|
80 | 80 | ProcessingUnit.__init__(self, **kwargs) |
|
|
81 | 81 | |
|
|
82 | 82 | self.isConfig = False |
|
|
83 | 83 | |
|
|
84 | 84 | self.datablock = None |
|
|
85 | 85 | |
|
|
86 | 86 | self.utc = 0 |
|
|
87 | 87 | |
|
|
88 | 88 | self.ext = ".r" |
|
|
89 | 89 | |
|
|
90 | 90 | self.optchar = "D" |
|
|
91 | 91 | |
|
|
92 | 92 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
93 | 93 | |
|
|
94 | 94 | self.systemHeaderObj = SystemHeader() |
|
|
95 | 95 | |
|
|
96 | 96 | self.radarControllerHeaderObj = RadarControllerHeader() |
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97 | 97 | |
|
|
98 | 98 | self.processingHeaderObj = ProcessingHeader() |
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|
99 | 99 | |
|
|
100 | 100 | self.online = 0 |
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|
101 | 101 | |
|
|
102 | 102 | self.fp = None |
|
|
103 | 103 | |
|
|
104 | 104 | self.idFile = None |
|
|
105 | 105 | |
|
|
106 | 106 | self.dtype = None |
|
|
107 | 107 | |
|
|
108 | 108 | self.fileSizeByHeader = None |
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|
109 | 109 | |
|
|
110 | 110 | self.filenameList = [] |
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|
111 | 111 | |
|
|
112 | 112 | self.filename = None |
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|
113 | 113 | |
|
|
114 | 114 | self.fileSize = None |
|
|
115 | 115 | |
|
|
116 | 116 | self.firstHeaderSize = 0 |
|
|
117 | 117 | |
|
|
118 | 118 | self.basicHeaderSize = 24 |
|
|
119 | 119 | |
|
|
120 | 120 | self.pathList = [] |
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|
121 | 121 | |
|
|
122 | 122 | self.filenameList = [] |
|
|
123 | 123 | |
|
|
124 | 124 | self.lastUTTime = 0 |
|
|
125 | 125 | |
|
|
126 | 126 | self.maxTimeStep = 30 |
|
|
127 | 127 | |
|
|
128 | 128 | self.flagNoMoreFiles = 0 |
|
|
129 | 129 | |
|
|
130 | 130 | self.set = 0 |
|
|
131 | 131 | |
|
|
132 | 132 | self.path = None |
|
|
133 | 133 | |
|
|
134 | 134 | self.profileIndex = 2**32-1 |
|
|
135 | 135 | |
|
|
136 | 136 | self.delay = 3 #seconds |
|
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137 | 137 | |
|
|
138 | 138 | self.nTries = 3 #quantity tries |
|
|
139 | 139 | |
|
|
140 | 140 | self.nFiles = 3 #number of files for searching |
|
|
141 | 141 | |
|
|
142 | 142 | self.nReadBlocks = 0 |
|
|
143 | 143 | |
|
|
144 | 144 | self.flagIsNewFile = 1 |
|
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145 | 145 | |
|
|
146 | 146 | self.__isFirstTimeOnline = 1 |
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147 | 147 | |
|
|
148 | 148 | # self.ippSeconds = 0 |
|
|
149 | 149 | |
|
|
150 | 150 | self.flagDiscontinuousBlock = 0 |
|
|
151 | 151 | |
|
|
152 | 152 | self.flagIsNewBlock = 0 |
|
|
153 | 153 | |
|
|
154 | 154 | self.nTotalBlocks = 0 |
|
|
155 | 155 | |
|
|
156 | 156 | self.blocksize = 0 |
|
|
157 | 157 | |
|
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158 | 158 | self.dataOut = self.createObjByDefault() |
|
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159 | 159 | |
|
|
160 | 160 | self.nTxs = 1 |
|
|
161 | 161 | |
|
|
162 | 162 | self.txIndex = 0 |
|
|
163 | 163 | |
|
|
164 | 164 | def createObjByDefault(self): |
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165 | 165 | |
|
|
166 | 166 | dataObj = Voltage() |
|
|
167 | 167 | |
|
|
168 | 168 | return dataObj |
|
|
169 | 169 | |
|
|
170 | 170 | def __hasNotDataInBuffer(self): |
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|
171 | 171 | |
|
|
172 | 172 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock*self.nTxs: |
|
|
173 | 173 | return 1 |
|
|
174 | 174 | |
|
|
175 | 175 | return 0 |
|
|
176 | 176 | |
|
|
177 | 177 | |
|
|
178 | 178 | def getBlockDimension(self): |
|
|
179 | 179 | """ |
|
|
180 | 180 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
181 | 181 | |
|
|
182 | 182 | Affected: |
|
|
183 | 183 | self.blocksize |
|
|
184 | 184 | |
|
|
185 | 185 | Return: |
|
|
186 | 186 | None |
|
|
187 | 187 | """ |
|
|
188 | 188 | pts2read = self.processingHeaderObj.profilesPerBlock * self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels |
|
|
189 | 189 | self.blocksize = pts2read |
|
|
190 | 190 | |
|
|
191 | 191 | |
|
|
192 | 192 | def readBlock(self): |
|
|
193 | 193 | """ |
|
|
194 | 194 | readBlock lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
195 | 195 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
196 | 196 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
197 | 197 | es seteado a 0 |
|
|
198 | 198 | |
|
|
199 | 199 | Inputs: |
|
|
200 | 200 | None |
|
|
201 | 201 | |
|
|
202 | 202 | Return: |
|
|
203 | 203 | None |
|
|
204 | 204 | |
|
|
205 | 205 | Affected: |
|
|
206 | 206 | self.profileIndex |
|
|
207 | 207 | self.datablock |
|
|
208 | 208 | self.flagIsNewFile |
|
|
209 | 209 | self.flagIsNewBlock |
|
|
210 | 210 | self.nTotalBlocks |
|
|
211 | 211 | |
|
|
212 | 212 | Exceptions: |
|
|
213 | 213 | Si un bloque leido no es un bloque valido |
|
|
214 | 214 | """ |
|
|
215 | 215 | current_pointer_location = self.fp.tell() |
|
|
216 | 216 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|
217 | 217 | |
|
|
218 | 218 | try: |
|
|
219 | 219 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|
220 | 220 | except: |
|
|
221 | 221 | #print "The read block (%3d) has not enough data" %self.nReadBlocks |
|
|
222 | 222 | |
|
|
223 | 223 | if self.waitDataBlock(pointer_location=current_pointer_location): |
|
|
224 | 224 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|
225 | 225 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|
226 | 226 | # return 0 |
|
|
227 | 227 | |
|
|
228 | 228 | #Dimensions : nChannels, nProfiles, nSamples |
|
|
229 | 229 | |
|
|
230 | 230 | junk = numpy.transpose(junk, (2,0,1)) |
|
|
231 | 231 | self.datablock = junk['real'] + junk['imag']*1j |
|
|
232 | 232 | |
|
|
233 | 233 | self.profileIndex = 0 |
|
|
234 | 234 | |
|
|
235 | 235 | self.flagIsNewFile = 0 |
|
|
236 | 236 | self.flagIsNewBlock = 1 |
|
|
237 | 237 | |
|
|
238 | 238 | self.nTotalBlocks += 1 |
|
|
239 | 239 | self.nReadBlocks += 1 |
|
|
240 | 240 | |
|
|
241 | 241 | return 1 |
|
|
242 | 242 | |
|
|
243 | 243 | def getFirstHeader(self): |
|
|
244 | 244 | |
|
|
245 | 245 | self.getBasicHeader() |
|
|
246 | 246 | |
|
|
247 | 247 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
248 | 248 | |
|
|
249 | 249 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
250 | 250 | |
|
|
251 | 251 | if self.nTxs > 1: |
|
|
252 | 252 | self.dataOut.radarControllerHeaderObj.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs |
|
|
253 | 253 | |
|
|
254 | 254 | #Time interval and code are propierties of dataOut. Its value depends of radarControllerHeaderObj. |
|
|
255 | 255 | |
|
|
256 | 256 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt |
|
|
257 | 257 | # |
|
|
258 | 258 | # if self.radarControllerHeaderObj.code is not None: |
|
|
259 | 259 | # |
|
|
260 | 260 | # self.dataOut.nCode = self.radarControllerHeaderObj.nCode |
|
|
261 | 261 | # |
|
|
262 | 262 | # self.dataOut.nBaud = self.radarControllerHeaderObj.nBaud |
|
|
263 | 263 | # |
|
|
264 | 264 | # self.dataOut.code = self.radarControllerHeaderObj.code |
|
|
265 | 265 | |
|
|
266 | 266 | self.dataOut.dtype = self.dtype |
|
|
267 | 267 | |
|
|
268 | 268 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
269 | 269 | |
|
|
270 | 270 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.nHeights) *self.processingHeaderObj.deltaHeight + self.processingHeaderObj.firstHeight |
|
|
271 | 271 | |
|
|
272 | 272 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
273 | 273 | |
|
|
274 | 274 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
275 | 275 | |
|
|
276 | 276 | self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode #asumo q la data no esta decodificada |
|
|
277 | 277 | |
|
|
278 | 278 | self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip #asumo q la data no esta sin flip |
|
|
279 | 279 | |
|
|
280 | 280 | self.dataOut.flagShiftFFT = self.processingHeaderObj.shif_fft |
|
|
281 | 281 | |
|
|
282 | 282 | def reshapeData(self): |
|
|
283 | 283 | |
|
|
284 | 284 | if self.nTxs < 0: |
|
|
285 | 285 | return |
|
|
286 | 286 | |
|
|
287 | 287 | if self.nTxs == 1: |
|
|
288 | 288 | return |
|
|
289 | 289 | |
|
|
290 | 290 | if self.nTxs < 1 and self.processingHeaderObj.profilesPerBlock % (1./self.nTxs) != 0: |
|
|
291 | 291 | raise ValueError, "1./nTxs (=%f), should be a multiple of nProfiles (=%d)" %(1./self.nTxs, self.processingHeaderObj.profilesPerBlock) |
|
|
292 | 292 | |
|
|
293 | 293 | if self.nTxs > 1 and self.processingHeaderObj.nHeights % self.nTxs != 0: |
|
|
294 | 294 | raise ValueError, "nTxs (=%d), should be a multiple of nHeights (=%d)" %(self.nTxs, self.processingHeaderObj.nHeights) |
|
|
295 | 295 | |
|
|
296 | 296 | self.datablock = self.datablock.reshape((self.systemHeaderObj.nChannels, self.processingHeaderObj.profilesPerBlock*self.nTxs, self.processingHeaderObj.nHeights/self.nTxs)) |
|
|
297 | 297 | |
|
|
298 | 298 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
299 | 299 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.nHeights/self.nTxs) *self.processingHeaderObj.deltaHeight + self.processingHeaderObj.firstHeight |
|
|
300 | 300 | self.dataOut.radarControllerHeaderObj.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs |
|
|
301 | 301 | |
|
|
302 | 302 | return |
|
|
303 | 303 | |
|
|
304 | 304 | def getData(self): |
|
|
305 | 305 | """ |
|
|
306 | 306 | getData obtiene una unidad de datos del buffer de lectura, un perfil, y la copia al objeto self.dataOut |
|
|
307 | 307 | del tipo "Voltage" con todos los parametros asociados a este (metadata). cuando no hay datos |
|
|
308 | 308 | en el buffer de lectura es necesario hacer una nueva lectura de los bloques de datos usando |
|
|
309 | 309 | "readNextBlock" |
|
|
310 | 310 | |
|
|
311 | 311 | Ademas incrementa el contador del buffer "self.profileIndex" en 1. |
|
|
312 | 312 | |
|
|
313 | 313 | Return: |
|
|
314 | 314 | |
|
|
315 | 315 | Si el flag self.getByBlock ha sido seteado el bloque completo es copiado a self.dataOut y el self.profileIndex |
|
|
316 | 316 | es igual al total de perfiles leidos desde el archivo. |
|
|
317 | 317 | |
|
|
318 | 318 | Si self.getByBlock == False: |
|
|
319 | 319 | |
|
|
320 | 320 | self.dataOut.data = buffer[:, thisProfile, :] |
|
|
321 | 321 | |
|
|
322 | 322 | shape = [nChannels, nHeis] |
|
|
323 | 323 | |
|
|
324 | 324 | Si self.getByBlock == True: |
|
|
325 | 325 | |
|
|
326 | 326 | self.dataOut.data = buffer[:, :, :] |
|
|
327 | 327 | |
|
|
328 | 328 | shape = [nChannels, nProfiles, nHeis] |
|
|
329 | 329 | |
|
|
330 | 330 | Variables afectadas: |
|
|
331 | 331 | self.dataOut |
|
|
332 | 332 | self.profileIndex |
|
|
333 | 333 | |
|
|
334 | 334 | Affected: |
|
|
335 | 335 | self.dataOut |
|
|
336 | 336 | self.profileIndex |
|
|
337 | 337 | self.flagDiscontinuousBlock |
|
|
338 | 338 | self.flagIsNewBlock |
|
|
339 | 339 | """ |
|
|
340 | 340 | |
|
|
341 | 341 | if self.flagNoMoreFiles: |
|
|
342 | 342 | self.dataOut.flagNoData = True |
|
|
343 | 343 | print 'Process finished' |
|
|
344 | 344 | return 0 |
|
|
345 | 345 | |
|
|
346 | 346 | self.flagDiscontinuousBlock = 0 |
|
|
347 | 347 | self.flagIsNewBlock = 0 |
|
|
348 | 348 | |
|
|
349 | 349 | if self.__hasNotDataInBuffer(): |
|
|
350 | 350 | |
|
|
351 | 351 | if not( self.readNextBlock() ): |
|
|
352 | 352 | return 0 |
|
|
353 | 353 | |
|
|
354 | 354 | self.getFirstHeader() |
|
|
355 | 355 | |
|
|
356 | 356 | self.reshapeData() |
|
|
357 | 357 | |
|
|
358 | 358 | if self.datablock is None: |
|
|
359 | 359 | self.dataOut.flagNoData = True |
|
|
360 | 360 | return 0 |
|
|
361 | 361 | |
|
|
362 | 362 | if not self.getByBlock: |
|
|
363 | 363 | |
|
|
364 | 364 | """ |
|
|
365 | 365 | Return profile by profile |
|
|
366 | 366 | |
|
|
367 | 367 | If nTxs > 1 then one profile is divided by nTxs and number of total |
|
|
368 | 368 | blocks is increased by nTxs (nProfiles *= nTxs) |
|
|
369 | 369 | """ |
|
|
370 | 370 | self.dataOut.flagDataAsBlock = False |
|
|
371 | 371 | self.dataOut.data = self.datablock[:,self.profileIndex,:] |
|
|
372 | 372 | self.dataOut.profileIndex = self.profileIndex |
|
|
373 | 373 | |
|
|
374 | 374 | self.profileIndex += 1 |
|
|
375 | 375 | |
|
|
376 | 376 | # elif self.selBlocksize==None or self.selBlocksize==self.dataOut.nProfiles: |
|
|
377 | 377 | # """ |
|
|
378 | 378 | # Return all block |
|
|
379 | 379 | # """ |
|
|
380 | 380 | # self.dataOut.flagDataAsBlock = True |
|
|
381 | 381 | # self.dataOut.data = self.datablock |
|
|
382 | 382 | # self.dataOut.profileIndex = self.dataOut.nProfiles - 1 |
|
|
383 | 383 | # |
|
|
384 | 384 | # self.profileIndex = self.dataOut.nProfiles |
|
|
385 | 385 | |
|
|
386 | 386 | else: |
|
|
387 | 387 | """ |
|
|
388 | 388 | Return a block |
|
|
389 | 389 | """ |
|
|
390 | 390 | if self.selBlocksize == None: self.selBlocksize = self.dataOut.nProfiles |
|
|
391 | 391 | if self.selBlocktime != None: |
|
|
392 | 392 | if self.dataOut.nCohInt is not None: |
|
|
393 | 393 | nCohInt = self.dataOut.nCohInt |
|
|
394 | 394 | else: |
|
|
395 | 395 | nCohInt = 1 |
|
|
396 | 396 | self.selBlocksize = int(self.dataOut.nProfiles*round(self.selBlocktime/(nCohInt*self.dataOut.ippSeconds*self.dataOut.nProfiles))) |
|
|
397 | 397 | |
|
|
398 | 398 | self.dataOut.data = self.datablock[:,self.profileIndex:self.profileIndex+self.selBlocksize,:] |
|
|
399 | 399 | self.profileIndex += self.selBlocksize |
|
|
400 | 400 | datasize = self.dataOut.data.shape[1] |
|
|
401 | 401 | |
|
|
402 | 402 | if datasize < self.selBlocksize: |
|
|
403 | 403 | buffer = numpy.zeros((self.dataOut.data.shape[0],self.selBlocksize,self.dataOut.data.shape[2]), dtype = 'complex') |
|
|
404 | 404 | buffer[:,:datasize,:] = self.dataOut.data |
|
|
405 | 405 | |
|
|
406 | 406 | while datasize < self.selBlocksize: #Not enough profiles to fill the block |
|
|
407 | 407 | if not( self.readNextBlock() ): |
|
|
408 | 408 | return 0 |
|
|
409 | 409 | self.getFirstHeader() |
|
|
410 | 410 | self.reshapeData() |
|
|
411 | 411 | if self.datablock is None: |
|
|
412 | 412 | self.dataOut.flagNoData = True |
|
|
413 | 413 | return 0 |
|
|
414 | 414 | #stack data |
|
|
415 | 415 | blockIndex = self.selBlocksize - datasize |
|
|
416 | 416 | datablock1 = self.datablock[:,:blockIndex,:] |
|
|
417 | 417 | |
|
|
418 | 418 | buffer[:,datasize:datasize+datablock1.shape[1],:] = datablock1 |
|
|
419 | 419 | datasize += datablock1.shape[1] |
|
|
420 | 420 | |
|
|
421 | 421 | self.dataOut.data = buffer |
|
|
422 | 422 | self.profileIndex = blockIndex |
|
|
423 | 423 | |
|
|
424 | 424 | self.dataOut.flagDataAsBlock = True |
|
|
425 | 425 | self.dataOut.nProfiles = self.dataOut.data.shape[1] |
|
|
426 | 426 | |
|
|
427 | 427 | self.dataOut.flagNoData = False |
|
|
428 | 428 | |
|
|
429 | 429 | self.getBasicHeader() |
|
|
430 | ||
|
|
430 | ||
|
|
431 | #print self.basicHeaderObj.printInfo() | |
|
|
432 | #print self.systemHeaderObj.printInfo() | |
|
|
433 | #print self.radarControllerHeaderObj.printInfo() | |
|
|
434 | #print self.processingHeaderObj.printInfo() | |
|
|
435 | ||
|
|
431 | 436 | self.dataOut.realtime = self.online |
|
|
432 | 437 | |
|
|
433 | 438 | return self.dataOut.data |
|
|
439 | ||
|
|
434 | 440 | |
|
|
435 | 441 | class VoltageWriter(JRODataWriter, Operation): |
|
|
436 | 442 | """ |
|
|
437 | 443 | Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura |
|
|
438 | 444 | de los datos siempre se realiza por bloques. |
|
|
439 | 445 | """ |
|
|
440 | 446 | |
|
|
441 | 447 | ext = ".r" |
|
|
442 | 448 | |
|
|
443 | 449 | optchar = "D" |
|
|
444 | 450 | |
|
|
445 | 451 | shapeBuffer = None |
|
|
446 | 452 | |
|
|
447 | 453 | |
|
|
448 | 454 | def __init__(self, **kwargs): |
|
|
449 | 455 | """ |
|
|
450 | 456 | Inicializador de la clase VoltageWriter para la escritura de datos de espectros. |
|
|
451 | 457 | |
|
|
452 | 458 | Affected: |
|
|
453 | 459 | self.dataOut |
|
|
454 | 460 | |
|
|
455 | 461 | Return: None |
|
|
456 | 462 | """ |
|
|
457 | 463 | Operation.__init__(self, **kwargs) |
|
|
458 | 464 | |
|
|
459 | 465 | self.nTotalBlocks = 0 |
|
|
460 | 466 | |
|
|
461 | 467 | self.profileIndex = 0 |
|
|
462 | 468 | |
|
|
463 | 469 | self.isConfig = False |
|
|
464 | 470 | |
|
|
465 | 471 | self.fp = None |
|
|
466 | 472 | |
|
|
467 | 473 | self.flagIsNewFile = 1 |
|
|
468 | 474 | |
|
|
469 | 475 | self.blockIndex = 0 |
|
|
470 | 476 | |
|
|
471 | 477 | self.flagIsNewBlock = 0 |
|
|
472 | 478 | |
|
|
473 | 479 | self.setFile = None |
|
|
474 | 480 | |
|
|
475 | 481 | self.dtype = None |
|
|
476 | 482 | |
|
|
477 | 483 | self.path = None |
|
|
478 | 484 | |
|
|
479 | 485 | self.filename = None |
|
|
480 | 486 | |
|
|
481 | 487 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
482 | 488 | |
|
|
483 | 489 | self.systemHeaderObj = SystemHeader() |
|
|
484 | 490 | |
|
|
485 | 491 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
486 | 492 | |
|
|
487 | 493 | self.processingHeaderObj = ProcessingHeader() |
|
|
488 | 494 | |
|
|
489 | 495 | def hasAllDataInBuffer(self): |
|
|
490 | 496 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
491 | 497 | return 1 |
|
|
492 | 498 | return 0 |
|
|
493 | 499 | |
|
|
494 | 500 | |
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|
495 | 501 | def setBlockDimension(self): |
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496 | 502 | """ |
|
|
497 | 503 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
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498 | 504 | |
|
|
499 | 505 | Affected: |
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500 | 506 | self.shape_spc_Buffer |
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501 | 507 | self.shape_cspc_Buffer |
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502 | 508 | self.shape_dc_Buffer |
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503 | 509 | |
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504 | 510 | Return: None |
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505 | 511 | """ |
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506 | 512 | self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock, |
|
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507 | 513 | self.processingHeaderObj.nHeights, |
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508 | 514 | self.systemHeaderObj.nChannels) |
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509 | 515 | |
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510 | 516 | self.datablock = numpy.zeros((self.systemHeaderObj.nChannels, |
|
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511 | 517 | self.processingHeaderObj.profilesPerBlock, |
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|
512 | 518 | self.processingHeaderObj.nHeights), |
|
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513 | 519 | dtype=numpy.dtype('complex64')) |
|
|
514 | 520 | |
|
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515 | 521 | def writeBlock(self): |
|
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516 | 522 | """ |
|
|
517 | 523 | Escribe el buffer en el file designado |
|
|
518 | 524 | |
|
|
519 | 525 | Affected: |
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|
520 | 526 | self.profileIndex |
|
|
521 | 527 | self.flagIsNewFile |
|
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522 | 528 | self.flagIsNewBlock |
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|
523 | 529 | self.nTotalBlocks |
|
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524 | 530 | self.blockIndex |
|
|
525 | 531 | |
|
|
526 | 532 | Return: None |
|
|
527 | 533 | """ |
|
|
528 | 534 | data = numpy.zeros( self.shapeBuffer, self.dtype ) |
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|
529 | 535 | |
|
|
530 | 536 | junk = numpy.transpose(self.datablock, (1,2,0)) |
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531 | 537 | |
|
|
532 | 538 | data['real'] = junk.real |
|
|
533 | 539 | data['imag'] = junk.imag |
|
|
534 | 540 | |
|
|
535 | 541 | data = data.reshape( (-1) ) |
|
|
536 | 542 | |
|
|
537 | 543 | data.tofile( self.fp ) |
|
|
538 | 544 | |
|
|
539 | 545 | self.datablock.fill(0) |
|
|
540 | 546 | |
|
|
541 | 547 | self.profileIndex = 0 |
|
|
542 | 548 | self.flagIsNewFile = 0 |
|
|
543 | 549 | self.flagIsNewBlock = 1 |
|
|
544 | 550 | |
|
|
545 | 551 | self.blockIndex += 1 |
|
|
546 | 552 | self.nTotalBlocks += 1 |
|
|
547 | 553 | |
|
|
548 | 554 | # print "[Writing] Block = %04d" %self.blockIndex |
|
|
549 | 555 | |
|
|
550 | 556 | def putData(self): |
|
|
551 | 557 | """ |
|
|
552 | 558 | Setea un bloque de datos y luego los escribe en un file |
|
|
553 | 559 | |
|
|
554 | 560 | Affected: |
|
|
555 | 561 | self.flagIsNewBlock |
|
|
556 | 562 | self.profileIndex |
|
|
557 | 563 | |
|
|
558 | 564 | Return: |
|
|
559 | 565 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
560 | 566 | 1 : Si se escribio la data de un bloque en un file |
|
|
561 | 567 | """ |
|
|
562 | 568 | if self.dataOut.flagNoData: |
|
|
563 | 569 | return 0 |
|
|
564 | 570 | |
|
|
565 | 571 | self.flagIsNewBlock = 0 |
|
|
566 | 572 | |
|
|
567 | 573 | if self.dataOut.flagDiscontinuousBlock: |
|
|
568 | 574 | self.datablock.fill(0) |
|
|
569 | 575 | self.profileIndex = 0 |
|
|
570 | 576 | self.setNextFile() |
|
|
571 | 577 | |
|
|
572 | 578 | if self.profileIndex == 0: |
|
|
573 | 579 | self.setBasicHeader() |
|
|
574 | 580 | |
|
|
575 | 581 | self.datablock[:,self.profileIndex,:] = self.dataOut.data |
|
|
576 | 582 | |
|
|
577 | 583 | self.profileIndex += 1 |
|
|
578 | 584 | |
|
|
579 | 585 | if self.hasAllDataInBuffer(): |
|
|
580 | 586 | #if self.flagIsNewFile: |
|
|
581 | 587 | self.writeNextBlock() |
|
|
582 | 588 | # self.setFirstHeader() |
|
|
583 | 589 | |
|
|
584 | 590 | return 1 |
|
|
585 | 591 | |
|
|
586 | 592 | def __getBlockSize(self): |
|
|
587 | 593 | ''' |
|
|
588 | 594 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage |
|
|
589 | 595 | ''' |
|
|
590 | 596 | |
|
|
591 | 597 | dtype_width = self.getDtypeWidth() |
|
|
592 | 598 | |
|
|
593 | 599 | blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.profilesPerBlock * dtype_width * 2) |
|
|
594 | 600 | |
|
|
595 | 601 | return blocksize |
|
|
596 | 602 | |
|
|
597 | 603 | def setFirstHeader(self): |
|
|
598 | 604 | |
|
|
599 | 605 | """ |
|
|
600 | 606 | Obtiene una copia del First Header |
|
|
601 | 607 | |
|
|
602 | 608 | Affected: |
|
|
603 | 609 | self.systemHeaderObj |
|
|
604 | 610 | self.radarControllerHeaderObj |
|
|
605 | 611 | self.dtype |
|
|
606 | 612 | |
|
|
607 | 613 | Return: |
|
|
608 | 614 | None |
|
|
609 | 615 | """ |
|
|
610 | 616 | |
|
|
611 | 617 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
612 | 618 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
613 | 619 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
614 | 620 | |
|
|
615 | 621 | self.processingHeaderObj.dtype = 0 # Voltage |
|
|
616 | 622 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
617 | 623 | self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock |
|
|
618 | 624 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
619 | 625 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
620 | 626 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt |
|
|
621 | 627 | self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage |
|
|
622 | 628 | self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage |
|
|
623 | 629 | |
|
|
624 | 630 | if self.dataOut.code is not None: |
|
|
625 | 631 | self.processingHeaderObj.code = self.dataOut.code |
|
|
626 | 632 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
627 | 633 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
628 | 634 | |
|
|
629 | 635 | if self.processingHeaderObj.nWindows != 0: |
|
|
630 | 636 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
631 | 637 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
632 | 638 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
633 | 639 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
634 | 640 | |
|
|
635 | 641 | self.processingHeaderObj.processFlags = self.getProcessFlags() |
|
|
636 | 642 | |
|
|
637 | 643 | self.setBasicHeader() |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
|
|
1 | NO CONTENT: modified file, binary diff hidden |
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
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